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Speaker 1: the freedom hunt. The media flips out when Trump says

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Speaker 1: there could be violence after the election happens, but we

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Speaker 1: all know which signed on violence is likely to come

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Speaker 1: from if it were to happen. We'll talk about that.

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Speaker 1: And also allegations of racism against a Republican governatorial candidate

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Speaker 1: looks bogus to me, folks. We'll talk about that. And

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Speaker 1: also what is rapid onset gender dysphoria. Here's a hint.

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Speaker 1: The left doesn't want you to know, so we'll talk

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Speaker 1: about it. Matta and more coming up. This is the

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Speaker 1: bus Sexton Show, where the mission or mission is to

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Speaker 1: decode what really matters with actionable intelligence. Make no mistake, America,

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Speaker 1: let me rank you're a great American Again, The Bucks

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Speaker 1: Exton Show begins. Florida elections are always competitive, and um,

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Speaker 1: you know this is a guy who, although he's much

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Speaker 1: too too liberal for Florida, I think he's got huge

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Speaker 1: problems with how he's governed Tallahassee. Uh. You know, he

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Speaker 1: is an articulate spokesman for those far left views, and

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Speaker 1: he's a charismatic candidate. And you know I watched those

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Speaker 1: Democrat debates. None of that it was was my cup

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Speaker 1: of tea. But I mean he performed better than the

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Speaker 1: other people there. So so we've got to work hard

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Speaker 1: to make sure that we continue Florida going in a

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Speaker 1: good direction. Let's build off the success we've had on

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Speaker 1: Governor Scott. The last thing we need to do is

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Speaker 1: to monkey this up by trying to embrace a socialist

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Speaker 1: agenda with huge tax increases and bankrupting the state. Welcome

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Speaker 1: to the Buck Section show, everybody. I played for you

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Speaker 1: there some audio that was from from Fox where you

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Speaker 1: had the the gubernatory all nominee from the Republican Party

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Speaker 1: for the state of Florida, Rhonda Santis, and he was

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Speaker 1: talking about the the Democrat candidate who just came through

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Speaker 1: the primaries or Florida just had their primary, and he

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Speaker 1: was discussing their differences on policy, and he said what

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Speaker 1: you heard there, He said that let's not let's not

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Speaker 1: monkey things up. He means to say, let's not mess

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Speaker 1: things up by doing things like what does opponent wants

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Speaker 1: to do, which is corporate tax rate hike or you know,

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Speaker 1: any number of far left progressive policies. But you see,

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Speaker 1: the santiss opponent is African American, and because of the

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Speaker 1: term that de Santists used here, now the left is

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Speaker 1: playing the game they always play where they're just saying

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Speaker 1: that De Santists said something racist. Oh that's right, he's

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Speaker 1: a racist, folks. That was you see, that was a

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Speaker 1: dog whistle to use the term monkey up in a

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Speaker 1: general sense in reference to policies and to the way

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Speaker 1: that a state is being run is racist because the

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Speaker 1: person who opposes you, they're saying, happens to be black.

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Speaker 1: They are creating a racial connection where there where there

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Speaker 1: is no, a racist connection where there is none. Um.

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Speaker 1: But this tells you a lot about the way the left,

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Speaker 1: the way the left plays the game. They they this

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Speaker 1: is one of their favorites. I would note when somebody

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Speaker 1: has a turn of phrase or or says anything that

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Speaker 1: could be even vaguely construed as as racist, even if

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Speaker 1: they will admit that it's it was accidental, they'll say,

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Speaker 1: well it was it was kind of a Freudian slip,

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Speaker 1: then that it was accidental. And I know there are

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Speaker 1: different times where this has come up. I think of

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Speaker 1: the I feel very badly for him. Still, Honestly, this

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Speaker 1: wasn't I don't know if he was an ESPN and now,

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Speaker 1: but it was about a tennis match and he said that,

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Speaker 1: you know, Serena Williams was in our no venus. Williams

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Speaker 1: was engaged in guerilla meaning little warfare Spanish for a

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Speaker 1: little war guerilla tactics. But he said guerrilla because that's

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Speaker 1: the Americanized version of it, guerilla tactics. Uh, because he

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Speaker 1: was doing it or she was doing an all of

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Speaker 1: the above approach to try to win the match, right,

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Speaker 1: moving around strategy and everything else. He was just throwing

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Speaker 1: everything in the kitchen sink and he said guerilla tactics

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Speaker 1: and he got fired for that. I got a lot

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Speaker 1: of trouble. You know. The guy's life is, you know,

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Speaker 1: altered for the worse because people don't like even the

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Speaker 1: possibility of something being said that some could think was racist.

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Speaker 1: I remember during during the during the Olympics. Remember I

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Speaker 1: forget what it was. I think it was like a

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Speaker 1: few years back. There was a young woman, African American

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Speaker 1: woman who was on the US team and she did

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Speaker 1: an event and then right afterwards previously scheduled commercials for

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Speaker 1: and it was a commercial for I think an animal

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Speaker 1: hospital or something. But they had a a a small

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Speaker 1: monkey that was engaged in an acrobatic event or whatever.

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Speaker 1: But it was supposed to be. It was completely separate

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Speaker 1: from the Olympics. But it's just because of the frames

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Speaker 1: and how it changed over, and people were outraged about that.

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Speaker 1: It was clearly, you know, there was no intent there

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Speaker 1: of any kind, but there was outrage right there was

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Speaker 1: these those two things had nothing to do with each other.

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Speaker 1: No one was trying to make them have anything to

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Speaker 1: do with each other, No one was trying to imply

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Speaker 1: any kind of a racial slur or anything else, but

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Speaker 1: they still got so upset about it. This is how

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Speaker 1: the left does what they do, folks. It doesn't matter

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Speaker 1: that it's unfair, It doesn't matter that it's a slander.

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Speaker 1: If they can get away with saying something was a slur,

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Speaker 1: even an unintentional slur, they will do it because it

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Speaker 1: is so politically useful. In the case of the of

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Speaker 1: the Guerrilla Tactics, by the way that that incident, I

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Speaker 1: really break this down, folks. Does anybody you think that

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Speaker 1: an announcer who who is who is describing the game

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Speaker 1: would would say, would would intentionally use a racial not

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Speaker 1: even you know, a racial form of language or in

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Speaker 1: a racially tinged language to talk about one of the

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Speaker 1: greatest female tennis players of all time, and it is

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Speaker 1: that it's the equivalent of saying, this guy wanted to basically,

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Speaker 1: in a career sense, light himself on fire on live TV.

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Speaker 1: I don't think that that's what he was trying to do. Okay,

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Speaker 1: I don't think anyone really thinks that that's what he's

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Speaker 1: trying to do. But there's so much sensitivity around it.

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Speaker 1: And here with with the Santists, they realized that, you know,

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Speaker 1: de Santists, I think is is gonna He's gonna win.

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Speaker 1: He's gonna win it. And this was their big opening today.

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Speaker 1: Oh my gosh, so much, so much anger and raid

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Speaker 1: thrown at the Santis about about this comment that that no,

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Speaker 1: what what what are they really saying here? It's a

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Speaker 1: dog whistle? Really, they think that the Santists would just

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Speaker 1: insert that phrase in that way and deal with all

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Speaker 1: the allegations of racism that he knows is going to

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Speaker 1: come from the dishonest left for dog whistle purposes. It's

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Speaker 1: just idiotic. There's no it's not just that there's no

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Speaker 1: motive for him to do it. All the motives go

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Speaker 1: in the opposite direction. But they but they and they're

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Speaker 1: not really analyzing this in any kind of a serious sense. Uh,

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Speaker 1: there was on MSNBC and analysts who offered this. I mean,

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Speaker 1: this is where they go with this on MSNBC. Look,

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Speaker 1: I played the audio for you heard it, you know

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Speaker 1: this is how they analyzed it over um over at. Well, actually, no,

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Speaker 1: I'm sorry, before we get tell MSNBC analyst, here's how

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Speaker 1: the opponent, Andrew Gillham himself was talking about dis Antists recently. Wait, producer, Mike,

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Speaker 1: was this in response to the comment or is this

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Speaker 1: just in general? Yeah, Buck, this is a sponsor. It's

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Speaker 1: in response to the comment. Okay, that's uh, he was

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Speaker 1: on with che folks. Here's what the Here's what the opponent. Yeah, here,

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Speaker 1: here's what the opponents said about a plate one. It's

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Speaker 1: very clear that Mr de Santists is taking a page

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Speaker 1: directly from the campaign manual of Donald Trump. But I

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Speaker 1: think he's got another thing coming to him if he

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Speaker 1: thinks that in today's day and age, Florida voters are

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Speaker 1: going to respond to that level of derision and division.

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Speaker 1: They're sick of it. What we're trying to offer in

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Speaker 1: this race, ever, was a state? Was that racist or

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Speaker 1: a fignative speech? Well? Well, Uh, in the handbumc Donald Trump.

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Speaker 1: They no longer uh do whistle calls. They're now using

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Speaker 1: full bullhorn. That is so slimy. That is so slimy

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Speaker 1: what he just did there. Notice how he he was

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Speaker 1: asked a specific question after chef Smith, you know, butcher

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Speaker 1: the phrases. Is that a figment of speech? It's figure

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Speaker 1: of speech, chep But anyway, good thing to pay him,

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Speaker 1: you know, ten million dollars a year or whatever. Uh.

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Speaker 1: The question that was asked was was it was what

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Speaker 1: dissentists said racist? And what his opponent who's up there

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Speaker 1: grandstanding on TV, says is, well, Donald Trump says racist things,

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Speaker 1: which is a way of saying, well, I'm not gonna

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Speaker 1: say that what he said was racist, but I kind

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Speaker 1: of want to imply that he's a racist and make

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Speaker 1: my base think that I'm kind of saying he's a racist.

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Speaker 1: I mean, it was just a it was a slimy maneuver. Uh.

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Speaker 1: And that's what That's what gilhim did. That's what he

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Speaker 1: offers up now he'd much rather have for based turnout purposes,

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Speaker 1: Gilmill much rather talk about that than, for example, what

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Speaker 1: he uh wants to do in the state, which he

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Speaker 1: also told Chep Smith here, let let's hear about this

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Speaker 1: play play two es. Since you mentioned money, Mr Mayor,

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Speaker 1: you you also ran on universal health care, lots more

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Speaker 1: money for schools and especially for teachers, raising the minimum

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Speaker 1: ways to fifteen dollars for for all Floridians, specifically, Mr Mayor,

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Speaker 1: if elected governor, how are you going to pay for that? Yeah? Well,

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Speaker 1: what we have proposed is an increase in the corporate

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Speaker 1: tax rate, which in the state of Florida is lower

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Speaker 1: Alabama and Georgia. Right now we're at five and a

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Speaker 1: quarter and we've suggested going up to just over seven,

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Speaker 1: which puts us in line with many other states. And

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Speaker 1: part of what we've it creates a billion dollars uh

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Speaker 1: and funding for our public education system. Uh. And part

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Speaker 1: of it is is that I just don't believe that

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Speaker 1: corporations choose states to locate in when they are forty

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Speaker 1: out of fiftieth in the public education system. Yeah, it's

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Speaker 1: not even none of this even really holds together. I

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Speaker 1: mean it's just yeah, corporations and public education. I mean,

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Speaker 1: what now they sign up where they think they have

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Speaker 1: a favorable business climate, I mean public education? Uh boy? Um.

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Speaker 1: He also I think he wants a fifteen dollar minimum wage.

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Speaker 1: You look at it's the progressive it's the progressive wish list.

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Speaker 1: This guy eyes offering up uh, and and the left

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Speaker 1: is embracing us now. And you know a figure he's

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Speaker 1: he is, uh, look, he's he's somebody who they probably

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Speaker 1: are already thinking of at at a national level. I mean,

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Speaker 1: he win wins the governor's race in Florida, they'll start,

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Speaker 1: they'll start talking about this guy going way beyond that,

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Speaker 1: which is obviously already a big job. But it's so

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Speaker 1: frustrating to see it. And I know that we've come

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Speaker 1: to expect it. I know you expected to, but to

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Speaker 1: to try to pile onto de Santis here and say

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Speaker 1: that he implied something racist. We we gotta push back

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Speaker 1: against this this stuff with all, with all that we can, folks,

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Speaker 1: we can't let him get away with this game, right.

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Speaker 1: We can't let him tag people as racists who haven't

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Speaker 1: done anything to deserve that at all, full stop. We

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Speaker 1: can't allow that to happen. It's it's a smear tactic.

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Speaker 1: It's a grotesque mischaracterization on purpose by people on the left.

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Speaker 1: And you know, MSNBC jumped in I mean this guy,

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Speaker 1: when this guy Mark Thompson, when even further play play

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Speaker 1: twenty three, this andrews the benefit of the doubt in

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Speaker 1: thinking that he uses this term in non racist ways

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Speaker 1: otherwise and maybe didn't think it through. Is there any

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Speaker 1: possibility of that. No, there's no possibility that whatsoever. But

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Speaker 1: people used the term monkey something up or No, you've

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Speaker 1: not heard it everyone, that's not. No, I don't. People

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Speaker 1: don't say who says I've never hear anybody say that.

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Speaker 1: And for people say that non racist terms that's in

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Speaker 1: in the environment in which I live is an African American,

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Speaker 1: That's not something that's normally said, I don't know. I

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Speaker 1: don't know anybody who says that. Frankly, maybe that's just

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Speaker 1: I'm divorced for that. But look, it's not a dog whistle.

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Speaker 1: When you say monkey in reference to an African American,

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Speaker 1: he might as well have just said And where Donald

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Speaker 1: Trump needs to condemn this, De Santis needs to immediately

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Speaker 1: apologize and or drop out of the race. I wanna

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Speaker 1: be very very clear about that this is absolutely racist,

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Speaker 1: and if he gets away with it this time, he's

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Speaker 1: going to continue to do it. They did it to

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Speaker 1: the Obama's referring to them as primates, and now he's

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Speaker 1: going to do it to Andrew Gillum. Monkey up to

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Speaker 1: hack together hardware for a particular task, especially a one

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Speaker 1: shot job or an extremely uh temporary solution to hack

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Speaker 1: up or mess up. That is from Webster's dictionary, folks.

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Speaker 1: So now we're at the point where we're gonna say

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Speaker 1: that things that are in the dictionary as a general

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Speaker 1: term are inherently racist, and we don't actually think that

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Speaker 1: they're real terms. This is the you're getting a snapshot

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Speaker 1: of the leftist mindset here. That doesn't matter the fact

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Speaker 1: that you can go into a dictionary as I just

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Speaker 1: did and find that a monkey up is a phrase

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Speaker 1: in common usage. But now you'll have commentators go on

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Speaker 1: TV that say, that's not even a phrase. And you

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Speaker 1: know what, even though it's wrong obviously in anybody with

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Speaker 1: with literally three seconds of research, you can prove it

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Speaker 1: wrong as I just did. People are gonna hear that

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Speaker 1: they're not gonna want to do the research because you

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Speaker 1: know what, they want to hear that a Republican is racist,

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Speaker 1: and this just reinforces that, and that's what the MSNBC

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Speaker 1: audience wants. To be told. They don't want to be

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Speaker 1: told the truth. They want to be told the RHN

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Speaker 1: descentis is a racist. So they put somebody on TV.

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Speaker 1: He will say, oh that thing that he said, Yeah

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Speaker 1: he's a racist, and taking even further and say he

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Speaker 1: might as well have just used an explicit racial slur.

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Speaker 1: This is this is stupidity. I mean, this is and

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Speaker 1: this NBC should be ashamed of itself. But I don't

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Speaker 1: know if they're really capable of Shane. They should be

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Speaker 1: ashamed of themselves. Though, Um, we we have a lot more.

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Speaker 1: We gonna talk about my friends. Um eight four or

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Speaker 1: four night two five on the lines if you want

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Speaker 1: a chat eight four four nine buck. I'm back in

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Speaker 1: the swamp in d C. Men in his swampy down

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Speaker 1: here today it's like it feels like a hundred degrees.

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Speaker 1: I was walking around that I was basically swimming through

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Speaker 1: the air. That's how human and gross it is. And

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Speaker 1: then there's all the swamp stuff that goes on with

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Speaker 1: people that are selling access and all the rest of it.

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Speaker 1: But we've got we've got a pack show for you.

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Speaker 1: I did see this headline. I want to dig into

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Speaker 1: a little bit of Sarah Palin not invited to the

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Speaker 1: McCain funeral. Huh um, there's there's something there, I think,

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Speaker 1: something that we need to need to discuss a little

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Speaker 1: bit of. And then I mentioned President Trump's comments about

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Speaker 1: violence possible violence with the election. I will get to

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Speaker 1: that coming up. Where where does politically motivated violence come

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Speaker 1: from these days? We all know it's left, even though

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Speaker 1: they pretend otherwise. We got that a more Stay with me.

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Speaker 1: Let's be clear also about what's going on here. The

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Speaker 1: theme here is I'm Donald Donald Trump, and I'll protect

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Speaker 1: you from the scary black people. ANTIFA is widely perceived

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Speaker 1: as an African American organization, and this is just part

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Speaker 1: of the same story of Lebron James and Don Lemon

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Speaker 1: and Maxine Waters and the NFL players and the u

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Speaker 1: c l A basketball players. This is about black versus white.

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Speaker 1: This is about Donald Trump's appeal to racism, and it

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Speaker 1: just happens all the time, and we never say it,

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Speaker 1: or we don't say it enough for what it is.

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Speaker 1: But that's what's going on. I mean, Jeffrey Tubin there,

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Speaker 1: the chief legal analyst at CNN, is a moron. He's

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Speaker 1: a moron, And you know, I don't like to call names,

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Speaker 1: but he's actually an idiot. That's the dumbest thing I've

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Speaker 1: heard in a long time. Antifa is widely considered a

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Speaker 1: a black organization. That is an outright falsehood that anybody

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Speaker 1: who pays any attention to the news cycle should know

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Speaker 1: that is a complete and utter lie. In fact, I

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Speaker 1: can tell you having covered protests in person, where Antifa

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Speaker 1: was in their full you know, battle rattle, head to

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Speaker 1: toe street warrior gear stuff I've actually never seen personally.

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Speaker 1: I'm not saying it doesn't mean is I've never seen

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Speaker 1: a black member of Antifa. I mean, if if we're

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Speaker 1: talking about Antifa as the black block that shows up,

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Speaker 1: remember black block of reference to the clothing had to tell,

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Speaker 1: the black block that shows up at some of these

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Speaker 1: events and engages in violent counter protests, they call it.

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Speaker 1: I mean, I'm not saying that it is, but I've

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Speaker 1: actually never even seen somebody who wasn't white, who is

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Speaker 1: part of a black block and engaging in violent coast

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Speaker 1: so called counter protests. It's really just rioting. But there

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Speaker 1: is no person Okay, forget about my antecdode for a second.

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Speaker 1: There is no person who thinks and Tifa is a

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Speaker 1: black organization. That is that is lunacy, an idiocy from

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Speaker 1: somebody who is revered over at CNN. I mean, you

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Speaker 1: should be laughed out of the building for saying that.

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Speaker 1: And he was black. No, it's not, Oh oh my gosh,

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Speaker 1: it's it's amazing though. Folks who they will elevate. I

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Speaker 1: mean they're probably they're probably paying that guy a million

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Speaker 1: dollars a year plus to go on TV and wrap

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Speaker 1: rap rap, say a lot of stupid stuff. He's a

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Speaker 1: terrible legal analyst all the time. He just tells liberals

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Speaker 1: what they want to hear through the the the the

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Speaker 1: facade of objective legal analysis. I mean he's just there

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Speaker 1: to launder liberalism for seeing his audience. That's what that's

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Speaker 1: what he does. That is his role. Um. I don't know.

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Speaker 1: Perhaps he does that well for them, but I just

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Speaker 1: I had to just jump on that. I mean, Antifa

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Speaker 1: is known as a black organization, not by anybody who

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Speaker 1: knows anything. Dumb person I was gonna call him. I

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Speaker 1: can see the a S word right, dumb personally, Yeah, dumbass.

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Speaker 1: There we got, Thank you, Mike gave me permission. The

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Speaker 1: guy's a dumbass. Things are getting crazy. Feel a little better, Yeah,

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Speaker 1: getting wild on the show. I feel a little better

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Speaker 1: about things. Yeah, that's right. I feel like I got

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Speaker 1: to let loose there for a second. Sorry if you

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Speaker 1: got young ones listening and asked, is another name for

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Speaker 1: a donkey? Um? So there you have. We will talk

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Speaker 1: about this Trump comment about violence in the election. I

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Speaker 1: think it's very important to dig into that, maybe a

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Speaker 1: little bit of what's going on with Palin and the

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Speaker 1: McCain funeral and and oh so much more so sing

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Speaker 1: He's hold in the line for America. Buck Sexton is back.

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Speaker 1: Welcome Mactine. We've got a lot of lines lit. I

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Speaker 1: want to take some calls from our friends out there. First,

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Speaker 1: George in l A. George, welcome to Freedom of Man.

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Speaker 1: I'm sorry we didn't get to hang out in l A.

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Speaker 1: We were in I was in your hometown for a

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Speaker 1: few days. Oh yeah, and you saw all the scooters,

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Speaker 1: those shooters all over the place. Man's craz schooners are

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Speaker 1: taken over. Really well. I just wanted to tell you

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Speaker 1: Shield high Buck, you have really a sharp analytic mind,

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Speaker 1: and to be able to sit there and look at

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Speaker 1: all of these factors coming up and be able to

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Speaker 1: comment on them. Uh, just thank you directly. I really

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Speaker 1: appreciate that and your honesty and straightforwardness. And um, I

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Speaker 1: feel a kinship because I was kind of I'm old

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Speaker 1: enough to have had uh college and graduate school experience

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Speaker 1: to be able to look at things and you know,

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Speaker 1: uh judge antecedent conditions and what the consequences are after

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Speaker 1: you know they're there. And I just wondered, what do

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Speaker 1: you think or how how are we going to deal

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Speaker 1: with these um uh you know neo Marxist Olinsky I

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Speaker 1: type people if they can't or won't even deal with

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Speaker 1: standard usage of the English language, Well, this is you know,

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Speaker 1: it's become a big issue for me, and I've been

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Speaker 1: thinking about doing more in depth research and quite honestly,

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Speaker 1: I think there's actually a book a book in this

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Speaker 1: for me, because I really want to attack the issue

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Speaker 1: of the way the left changes and then leverages and

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Speaker 1: weaponizes language. And it's usually a gradual process, and it's

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Speaker 1: something that has has that tremendous effect in our in

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Speaker 1: our national political discussion. And you know that, how do

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Speaker 1: how do you deal with people a change language? I

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Speaker 1: don't know, I mean, how do you argue with somebody

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Speaker 1: who says, for example, that monkey up is not a

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Speaker 1: phrase that's that it's inherently a racist because it's not

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Speaker 1: a phrase that is a that is a lie that

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Speaker 1: is just not true. It's it's objectively not true. But

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Speaker 1: how do you argue with somebody when they reject truth

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Speaker 1: that that is at their fingertips. By the way, be

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Speaker 1: very easy to find out. Uh, you know, I I

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Speaker 1: have a problem and and luck, I'll be honest with you.

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Speaker 1: It comes up even on my show where people will

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Speaker 1: on my TV show where where you know, somebody will say, uh,

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Speaker 1: you know, undocumented immigrant and they'll want me to say

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Speaker 1: undocumented immigrant and I'm just no, un documented immigrant is

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Speaker 1: not a that that does not exist. This is this

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Speaker 1: is conjured up. There's a made up phrase. If we're

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Speaker 1: talking about somebody who's in violation of US law in

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Speaker 1: this country when it comes to immigration, they're an a

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Speaker 1: legal alien. Now. That is the term. And the reason

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Speaker 1: I won't call them an undocumented immigrant is that it's

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Speaker 1: specifically designed as a term to make it seem like

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Speaker 1: it's just a question of getting them the documents that

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Speaker 1: they need and then everything is okay and they're just

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Speaker 1: like other immigrants. But that's not what's happening. No, they're

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Speaker 1: described in the law as illegal aliens. Yes, and so

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Speaker 1: that's that's why, you know, but look, they do they

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Speaker 1: do this too with with with abortion, with any number

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Speaker 1: of things where they play all these games with language

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Speaker 1: that we can't really get to the truth of the matter.

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Speaker 1: And and you know, George, your question, but how do

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Speaker 1: we deal with these neo Marxists. One, we have to

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Speaker 1: fight on these issues and not not concede. I'm gonna

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Speaker 1: talk about and George, thanks for calling in Shields. I

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Speaker 1: I'm gonna talk about the rapid onset gender dysphoria issue

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Speaker 1: in the third hour today of the show. I really

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Speaker 1: hope you stay around for that, folks, because I've read

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Speaker 1: into this one in depth and it has to do

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Speaker 1: with transgender rights, which is considered very much in the

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Speaker 1: vanguard of progressive ideology right now. I mean, they are

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Speaker 1: really said on the whole transgender rights crusade or GHAD

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Speaker 1: because I want to be inclusive for it could be

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Speaker 1: for anybody, um, but they're really set on this, and

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Speaker 1: you know they they are fanatical. I mean, that's what

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Speaker 1: you have to say. They are actually fanatical on that issue.

426
00:24:16,960 --> 00:24:20,680
Speaker 1: And I haven't. I want to describe to you, uh,

427
00:24:20,680 --> 00:24:23,159
Speaker 1: why they're so upset and and what it is that

428
00:24:23,200 --> 00:24:27,000
Speaker 1: bothers them so much about transgender transgender rights or this

429
00:24:27,200 --> 00:24:31,119
Speaker 1: issue that affects transgender rights. I should say, um, but

430
00:24:31,320 --> 00:24:34,879
Speaker 1: I wanted to a a Felix. Felix in Pennsylvania. We

431
00:24:34,880 --> 00:24:38,200
Speaker 1: haven't heard from me in a while, buddy, what's up, hey, Block?

432
00:24:42,640 --> 00:24:46,359
Speaker 1: I guess I mean, it's just just you, me and

433
00:24:46,440 --> 00:24:49,160
Speaker 1: A and a mid sized US city worth of our

434
00:24:49,200 --> 00:24:52,600
Speaker 1: friends listening to this. So sure, Felix, we can we

435
00:24:52,840 --> 00:24:58,280
Speaker 1: take a bitter from you? Yeah, I guess so. Man,

436
00:24:58,600 --> 00:25:00,040
Speaker 1: You're gonna have to give us some thoughts here. We

437
00:25:00,160 --> 00:25:02,040
Speaker 1: got to move on. We got every line lit. I

438
00:25:02,080 --> 00:25:04,879
Speaker 1: got a suggestion for President Trump. He needs to tweet

439
00:25:04,880 --> 00:25:09,080
Speaker 1: out that Webster's you know, uh dictionary definition on monkey up.

440
00:25:10,640 --> 00:25:13,680
Speaker 1: And that's that's the way to deal. I I think

441
00:25:13,680 --> 00:25:15,200
Speaker 1: I think it would be good with the deal because

442
00:25:15,320 --> 00:25:24,439
Speaker 1: I think that awesome. Hell yeah, we're all listening, buddy, Okay, Felix,

443
00:25:24,480 --> 00:25:26,359
Speaker 1: we gotta go. I feel like Felix, you know, we

444
00:25:26,400 --> 00:25:28,399
Speaker 1: love you, buddy, but a little too much. Uh. I

445
00:25:28,400 --> 00:25:29,760
Speaker 1: don't know if he was trying to get the satellite

446
00:25:29,840 --> 00:25:33,080
Speaker 1: uplink going there, or his calms were his calms were rough.

447
00:25:33,560 --> 00:25:35,440
Speaker 1: We can't have rough colms here on the show bill

448
00:25:35,520 --> 00:25:44,400
Speaker 1: in Mississippi. Hello, sir, I just wanted to say, Hey,

449
00:25:44,440 --> 00:25:49,840
Speaker 1: I'm here here, mm hmm, Okay, I'm sorry. I just

450
00:25:49,840 --> 00:25:53,119
Speaker 1: want to say the only uh Anti people I've seen

451
00:25:53,240 --> 00:25:57,600
Speaker 1: are so mad max Emo wanna be basement dwellers. But

452
00:25:57,680 --> 00:26:00,920
Speaker 1: the reason why I called it, I'm over ifty years old,

453
00:26:01,400 --> 00:26:04,680
Speaker 1: and anybody that's ever listened or had a job or anything,

454
00:26:05,160 --> 00:26:08,560
Speaker 1: when something wrong happens you, you always did somebody say,

455
00:26:08,560 --> 00:26:10,680
Speaker 1: I have somebody throw a monkey ranch in it and

456
00:26:10,880 --> 00:26:14,520
Speaker 1: messed it up. So that's a phrase that I've lived

457
00:26:14,520 --> 00:26:16,879
Speaker 1: with all of my life, is that somebody throwing a

458
00:26:16,880 --> 00:26:19,680
Speaker 1: monkey ranch into something to mess it up. And that's

459
00:26:19,720 --> 00:26:22,639
Speaker 1: all the Santos was doing, was using a praise that

460
00:26:22,760 --> 00:26:27,399
Speaker 1: all of us, if you our entire life. Yep, I

461
00:26:28,119 --> 00:26:29,880
Speaker 1: am not backing down on this one all. I totally

462
00:26:29,880 --> 00:26:34,280
Speaker 1: agree with you, Bill. There is no place whatsoever for

463
00:26:34,520 --> 00:26:36,880
Speaker 1: people to to well. What they're doing is they're lying.

464
00:26:37,040 --> 00:26:39,920
Speaker 1: They're lying about what they think he said. Because it's

465
00:26:39,920 --> 00:26:41,400
Speaker 1: on tape, we can all hear it, and we all

466
00:26:41,440 --> 00:26:43,879
Speaker 1: know what was going on, and it's just you know,

467
00:26:43,960 --> 00:26:46,119
Speaker 1: you think about how much damage could be done if

468
00:26:46,119 --> 00:26:48,480
Speaker 1: people like you and me, Bill listen to the mainstream

469
00:26:48,480 --> 00:26:52,119
Speaker 1: media and listen to the analysis on on MSNBC. You know,

470
00:26:52,160 --> 00:26:53,800
Speaker 1: think about the damage that will be done to to

471
00:26:53,880 --> 00:26:57,119
Speaker 1: De Santis and his family and his reputation. It's it's

472
00:26:57,119 --> 00:26:59,720
Speaker 1: really scandalous what they've done. I mean, it's really it's

473
00:27:00,080 --> 00:27:03,399
Speaker 1: it's beneath contempt to call somebody a racist when you

474
00:27:03,440 --> 00:27:05,320
Speaker 1: know they're not a racist, just because you want to

475
00:27:05,400 --> 00:27:07,400
Speaker 1: ruin them. And that is what the left is doing.

476
00:27:07,520 --> 00:27:10,800
Speaker 1: That's what they're that's their approach here. I think it's. Yeah.

477
00:27:10,920 --> 00:27:12,680
Speaker 1: And the thing that makes it so bad is every

478
00:27:12,720 --> 00:27:15,240
Speaker 1: one of them know and they said it too over

479
00:27:15,320 --> 00:27:18,160
Speaker 1: their life is you know, somebody throw a monkey ridge

480
00:27:18,200 --> 00:27:20,800
Speaker 1: into something that messed it up, you know. So, I

481
00:27:20,840 --> 00:27:24,640
Speaker 1: mean it's not like they don't know bad. They just won't. Yeah,

482
00:27:24,640 --> 00:27:26,600
Speaker 1: I know, they're they're they're they're playing dumb on this

483
00:27:26,640 --> 00:27:28,680
Speaker 1: one right now because it serves their purposes. Bill. I

484
00:27:28,720 --> 00:27:31,720
Speaker 1: appreciate you calling it from Mississippi Shields High. You know,

485
00:27:33,280 --> 00:27:39,000
Speaker 1: the Democrats, democrats, democrats can't trust them, can't trust them.

486
00:27:39,040 --> 00:27:43,480
Speaker 1: You know they're always always playing fast and loose with

487
00:27:43,480 --> 00:27:44,760
Speaker 1: with the truth. By the way, we are going to

488
00:27:44,840 --> 00:27:47,240
Speaker 1: talk a little more in the in the next hour

489
00:27:47,320 --> 00:27:54,160
Speaker 1: for sure about uh, the Trump Trump Mexico trade deal,

490
00:27:54,240 --> 00:27:56,040
Speaker 1: that that they were saying was not only was the

491
00:27:56,080 --> 00:27:58,480
Speaker 1: deal not gonna happen, they were saying the deal was

492
00:27:58,560 --> 00:28:00,840
Speaker 1: bad and that we were thinking for a trade war.

493
00:28:01,119 --> 00:28:03,720
Speaker 1: Now it looks like the deal is happening and everybody

494
00:28:03,720 --> 00:28:05,920
Speaker 1: thinks it's a good deal and we have Trump to

495
00:28:06,000 --> 00:28:09,760
Speaker 1: thank for it. When does when does the president get

496
00:28:09,760 --> 00:28:12,720
Speaker 1: credit for this stuff? I know that I'm supposed to

497
00:28:12,720 --> 00:28:15,600
Speaker 1: sit around and weep about what my imaginary eight year

498
00:28:15,640 --> 00:28:19,679
Speaker 1: old daughter thinks of about Trump's comments on Hillary. I

499
00:28:19,720 --> 00:28:21,320
Speaker 1: know that that's what they want me to do. Oh

500
00:28:21,359 --> 00:28:25,199
Speaker 1: my god, Trump and hill Um. But no, I just

501
00:28:25,240 --> 00:28:27,119
Speaker 1: look at what's happening to the country. I look around

502
00:28:27,119 --> 00:28:29,439
Speaker 1: that I see so much and I hear about so

503
00:28:29,480 --> 00:28:34,080
Speaker 1: much prosperity. And you know, I I visited one of

504
00:28:34,080 --> 00:28:36,280
Speaker 1: our one of our sponsors actually here on radio. I

505
00:28:36,400 --> 00:28:38,800
Speaker 1: visit one of our sponsors recently, and you know, they've

506
00:28:38,840 --> 00:28:41,400
Speaker 1: gone from a couple of hundred employees to over a

507
00:28:41,440 --> 00:28:46,200
Speaker 1: thousand employees and just the last you know, eighteen months

508
00:28:46,280 --> 00:28:50,000
Speaker 1: or so. Uh, you know, I see these things, and

509
00:28:50,520 --> 00:28:52,480
Speaker 1: I know that you're trying to take a snapshot of

510
00:28:52,480 --> 00:28:55,120
Speaker 1: what's happened to three million people across the country. But

511
00:28:56,000 --> 00:28:58,640
Speaker 1: you know, I remember it was liked in the Obama

512
00:28:58,640 --> 00:29:01,880
Speaker 1: administration when we were being told that America was going

513
00:29:01,920 --> 00:29:05,120
Speaker 1: to have pretty much lackluster growth and our best years

514
00:29:05,120 --> 00:29:07,400
Speaker 1: were behind us, and you know, we just need to

515
00:29:07,400 --> 00:29:09,800
Speaker 1: find a better way to distribute, redistribute the wealth of

516
00:29:09,840 --> 00:29:14,000
Speaker 1: the country already had that's gone away. Doesn't that feel

517
00:29:14,000 --> 00:29:15,920
Speaker 1: better for everybody? Don't you feel like I feel like

518
00:29:15,920 --> 00:29:17,840
Speaker 1: I've got more of a shot. And I'm in a

519
00:29:17,920 --> 00:29:20,000
Speaker 1: brutal business, by the way, but I really do, and

520
00:29:20,080 --> 00:29:22,160
Speaker 1: I feel like I feel like there's a better chance

521
00:29:22,480 --> 00:29:26,960
Speaker 1: right now because of the approach the government's taking. And and

522
00:29:26,880 --> 00:29:29,320
Speaker 1: and really what I mean is it's less likely that

523
00:29:29,360 --> 00:29:33,640
Speaker 1: the government's going to to get in my way. And

524
00:29:33,680 --> 00:29:38,360
Speaker 1: that's enough. That's helpful. It's just such a change in Tony.

525
00:29:38,520 --> 00:29:42,880
Speaker 1: They were writing, they were writing editorials about, you know,

526
00:29:42,960 --> 00:29:45,600
Speaker 1: the in the latter part of the Obama illustration, about

527
00:29:45,600 --> 00:29:47,480
Speaker 1: how you know, it's not Obama's fault, the economy is

528
00:29:47,520 --> 00:29:48,960
Speaker 1: not so great, and you know, this is just the

529
00:29:48,960 --> 00:29:51,640
Speaker 1: way it's gonna be. And now we're finding out what

530
00:29:51,680 --> 00:29:53,920
Speaker 1: was it today? They actually had to revise upward GDP

531
00:29:54,040 --> 00:29:55,520
Speaker 1: growth of the last I think it's from four point

532
00:29:55,600 --> 00:29:58,280
Speaker 1: one to four point two even better. It was great,

533
00:29:58,560 --> 00:30:01,600
Speaker 1: but it's even greater now. You know, we went from

534
00:30:01,680 --> 00:30:03,240
Speaker 1: like eight, you know, even from getting an A to

535
00:30:03,280 --> 00:30:05,960
Speaker 1: getting an A plus. And some are thinking that when

536
00:30:05,960 --> 00:30:09,240
Speaker 1: it comes to economic growth in en we could be

537
00:30:09,240 --> 00:30:11,080
Speaker 1: getting an A plus plus. And I will I will

538
00:30:11,080 --> 00:30:12,480
Speaker 1: tell some of you. I don't know if it's still

539
00:30:12,480 --> 00:30:14,440
Speaker 1: in our arch carves, I should find it. You know,

540
00:30:14,520 --> 00:30:16,480
Speaker 1: late last year I was I did a whole show

541
00:30:16,480 --> 00:30:18,480
Speaker 1: where I said, guys, I'm telling you twenty eighteen is

542
00:30:18,480 --> 00:30:20,560
Speaker 1: gonna be great. The economy is gonna be booming. Don't

543
00:30:20,600 --> 00:30:23,240
Speaker 1: listen to the naysayers. You know, the stock market got

544
00:30:23,280 --> 00:30:26,040
Speaker 1: so hot last December and everybody, you know, with cryptocurrency

545
00:30:26,040 --> 00:30:29,000
Speaker 1: and everything else. And I said, no, good Trump, he

546
00:30:29,080 --> 00:30:32,520
Speaker 1: gets it. He doesn't have these ideological hangups about how

547
00:30:32,560 --> 00:30:35,280
Speaker 1: you didn't build that or you know, it's not you know,

548
00:30:35,760 --> 00:30:37,760
Speaker 1: America is not as great as we think it is,

549
00:30:37,920 --> 00:30:40,040
Speaker 1: and we really need to do more for other countries,

550
00:30:40,160 --> 00:30:42,840
Speaker 1: and climate change is a big national security and economic

551
00:30:42,880 --> 00:30:44,840
Speaker 1: issue we have to address. I mean, all the those

552
00:30:44,840 --> 00:30:49,400
Speaker 1: are ideological impediments to national success. We don't have them

553
00:30:49,400 --> 00:30:52,000
Speaker 1: anymore because we got a different guy at the top

554
00:30:52,080 --> 00:30:55,120
Speaker 1: and different people around him that are executing on an agenda.

555
00:30:55,120 --> 00:30:56,880
Speaker 1: All right, I know, I know more on that in

556
00:30:56,880 --> 00:30:59,360
Speaker 1: the second hour. I gotta finish up on this notion though,

557
00:30:59,360 --> 00:31:04,240
Speaker 1: of of violence if Trump were too or if the

558
00:31:04,240 --> 00:31:06,960
Speaker 1: Republicans were to win, because the left is trying to

559
00:31:07,000 --> 00:31:09,080
Speaker 1: make a lot of this and I've got I have

560
00:31:10,240 --> 00:31:12,600
Speaker 1: definitely some analysis to share it with you on that.

561
00:31:12,800 --> 00:31:14,080
Speaker 1: I think I'm gonna hold off on some of the

562
00:31:14,120 --> 00:31:17,040
Speaker 1: Bruce or and the latest on the Trump Tower and

563
00:31:17,080 --> 00:31:20,240
Speaker 1: the collusion and all this other nonsense until tomorrow because

564
00:31:20,280 --> 00:31:22,440
Speaker 1: my colleague John Solomon at the Hills just broke a

565
00:31:22,480 --> 00:31:24,920
Speaker 1: big piece on it. But I want to I want

566
00:31:24,920 --> 00:31:27,480
Speaker 1: to have John probably join us on that one because

567
00:31:27,520 --> 00:31:29,040
Speaker 1: I want to get into the details with him because

568
00:31:29,040 --> 00:31:31,080
Speaker 1: he's want of broke the story. So we'll get into

569
00:31:31,080 --> 00:31:32,800
Speaker 1: that probably tomorrow. We've got a lot more coming though,

570
00:31:32,800 --> 00:31:35,920
Speaker 1: team um And like I said, that third hour, you

571
00:31:36,040 --> 00:31:42,240
Speaker 1: really if you find the whole transgender rights thing interesting. Uh,

572
00:31:42,280 --> 00:31:44,560
Speaker 1: you really got to stay with me to the third

573
00:31:44,560 --> 00:32:03,800
Speaker 1: hour right of the show, so we'll be right. Quite

574
00:32:03,960 --> 00:32:11,600
Speaker 1: a a snub here, folks. Sarah Palin apparently not just

575
00:32:12,840 --> 00:32:16,480
Speaker 1: not invited to pardon the double negative, they're not but

576
00:32:16,920 --> 00:32:20,880
Speaker 1: it wasn't not invited to McCain's funeral, bright bart And

577
00:32:20,960 --> 00:32:24,640
Speaker 1: this is confirming a People magazine report saying that she

578
00:32:24,880 --> 00:32:28,400
Speaker 1: was told through an intermediary to stay away from the ceremony.

579
00:32:28,440 --> 00:32:30,120
Speaker 1: So it's not even like you weren't invited to the party,

580
00:32:30,160 --> 00:32:32,240
Speaker 1: it's you're not invited and don't show up to the party.

581
00:32:32,520 --> 00:32:34,920
Speaker 1: In this case, obviously it's a funeral, not a party.

582
00:32:34,920 --> 00:32:36,360
Speaker 1: But you know what I mean, I mean, this is

583
00:32:36,400 --> 00:32:38,320
Speaker 1: this is the invite was not lost in the mail.

584
00:32:38,440 --> 00:32:45,120
Speaker 1: This is don't show up, don't show up? Um, this

585
00:32:45,240 --> 00:32:50,920
Speaker 1: is uh wow, you know what a what a slap

586
00:32:50,960 --> 00:32:53,240
Speaker 1: in the what a slap in the face. I'm actually

587
00:32:53,280 --> 00:32:54,800
Speaker 1: a little I guess there was a lot of bad

588
00:32:54,800 --> 00:32:57,880
Speaker 1: blood there for a long time. But anyway, you know,

589
00:32:57,960 --> 00:33:00,360
Speaker 1: thoughts in prayer sue McCain and his family, and you know,

590
00:33:00,400 --> 00:33:02,080
Speaker 1: I know it's a tough time for Megan. I saw

591
00:33:02,120 --> 00:33:06,760
Speaker 1: the h I saw the video today of her and

592
00:33:06,800 --> 00:33:08,560
Speaker 1: it looks she lost her dad. I mean, I can't

593
00:33:08,560 --> 00:33:13,040
Speaker 1: I can't imagine, very very difficult thing. Um. But there

594
00:33:13,040 --> 00:33:14,840
Speaker 1: you know the politics around this, folks. There's still a

595
00:33:14,840 --> 00:33:16,680
Speaker 1: lot of people reporting on it, and you're going to

596
00:33:16,720 --> 00:33:19,080
Speaker 1: see more of this and with the whole paleent situation. Wow,

597
00:33:20,560 --> 00:33:22,600
Speaker 1: but I didn't want to finish up on this. Trump

598
00:33:22,680 --> 00:33:30,320
Speaker 1: warns of of violence, Um if Republicans lose the Fall elections.

599
00:33:30,320 --> 00:33:32,600
Speaker 1: You know, the left is saying this as though Trump

600
00:33:32,680 --> 00:33:37,880
Speaker 1: is somehow instigating or he's the bad guy here. Uh,

601
00:33:37,920 --> 00:33:42,160
Speaker 1: And what they really mean is Trump is pointing out

602
00:33:42,200 --> 00:33:46,560
Speaker 1: that the violence comes from Antifa, right. Trump is is

603
00:33:46,560 --> 00:33:51,000
Speaker 1: pointing out that they will freak out if they lose

604
00:33:51,040 --> 00:33:56,360
Speaker 1: the election. They will, you know, lose their minds even

605
00:33:56,360 --> 00:34:01,280
Speaker 1: more so. I don't know what that looks like. Um,

606
00:34:01,320 --> 00:34:03,720
Speaker 1: I don't know what that looks like. But also warns

607
00:34:03,720 --> 00:34:07,040
Speaker 1: of violence. I Republicans lose the fall, lose the Fall elections.

608
00:34:08,000 --> 00:34:11,399
Speaker 1: So if they lose, there will be violence. If they win,

609
00:34:11,440 --> 00:34:14,400
Speaker 1: there will be violence. That's not as contradictory as some

610
00:34:14,440 --> 00:34:17,520
Speaker 1: people think because the violence comes from the left and

611
00:34:17,560 --> 00:34:19,600
Speaker 1: if they feel like they are ascending and there in power,

612
00:34:19,719 --> 00:34:22,239
Speaker 1: then they'll be but you know, then then you'll have

613
00:34:22,280 --> 00:34:24,600
Speaker 1: antifall all fired up and everything goes. If they lose,

614
00:34:24,640 --> 00:34:28,280
Speaker 1: they'll lose their minds even more. This is the equivalent

615
00:34:28,320 --> 00:34:30,920
Speaker 1: that sort of trump you an equivalent of what I

616
00:34:31,000 --> 00:34:32,360
Speaker 1: used to I used to joke around when I was

617
00:34:32,360 --> 00:34:35,360
Speaker 1: the University of Massachusetts Amherst. I'd go visit, you know,

618
00:34:35,360 --> 00:34:39,560
Speaker 1: I was down the street at Amer's College. And when uh,

619
00:34:39,640 --> 00:34:44,960
Speaker 1: the Patriots would win, some people would riot and light

620
00:34:45,000 --> 00:34:47,160
Speaker 1: trash cans on fire and flip over cars if it

621
00:34:47,200 --> 00:34:49,560
Speaker 1: was a really big game. And when the Patriots would lose,

622
00:34:50,360 --> 00:34:54,760
Speaker 1: some people would riot and flip over cars and uh,

623
00:34:54,920 --> 00:34:57,719
Speaker 1: act like maniacs. And you might see to yourself, what, well,

624
00:34:57,719 --> 00:34:59,760
Speaker 1: that's just because that's what they wanted to do. They

625
00:34:59,800 --> 00:35:03,040
Speaker 1: are too emotionally invested in this. They need to calm down,

626
00:35:03,560 --> 00:35:07,080
Speaker 1: and they are going to act poorly. That is like Antifa.

627
00:35:07,680 --> 00:35:12,600
Speaker 1: If the Democrats win, there will in fact be uh,

628
00:35:12,640 --> 00:35:17,080
Speaker 1: you know, there will in fact be Antifa movements that

629
00:35:17,160 --> 00:35:18,840
Speaker 1: feel like they are you know that this is a

630
00:35:18,920 --> 00:35:21,080
Speaker 1: moment where they should make a statement, and they're gonna

631
00:35:21,080 --> 00:35:23,680
Speaker 1: want to push even more and push even harder. And

632
00:35:23,719 --> 00:35:27,359
Speaker 1: if they lose Oh my gosh. Then then they're really

633
00:35:27,400 --> 00:35:28,960
Speaker 1: then they're really going to think that the dark Knight

634
00:35:28,960 --> 00:35:31,920
Speaker 1: of fascism has arrived at this country. And we you know,

635
00:35:32,640 --> 00:35:35,040
Speaker 1: and I worry that some of them start to take

636
00:35:35,080 --> 00:35:38,040
Speaker 1: the rhetoric seriously and then things because what we've seen

637
00:35:38,080 --> 00:35:41,640
Speaker 1: so far, yes there's violence, there's destruction from Antifa, but

638
00:35:42,600 --> 00:35:46,120
Speaker 1: you know, it hasn't yet crossed over in that threshold

639
00:35:46,120 --> 00:35:49,200
Speaker 1: of all out riots or you know, Antifa hasn't yet

640
00:35:50,440 --> 00:35:52,960
Speaker 1: burned down whole neighborhoods. But we did see that under

641
00:35:52,960 --> 00:35:56,200
Speaker 1: the Obama administration when Black Lives Matter, Remember, neighborhoods were

642
00:35:56,200 --> 00:35:58,960
Speaker 1: burned down, folks. You know, I'm even Washington, d C.

643
00:35:59,280 --> 00:36:02,239
Speaker 1: Where it's forgotten out of most residents, But there were

644
00:36:02,760 --> 00:36:07,880
Speaker 1: massive riots, uh after the assassination of Martin Luther King Jr.

645
00:36:08,400 --> 00:36:11,880
Speaker 1: And a whole the whole section of a neighborhood got

646
00:36:11,880 --> 00:36:15,080
Speaker 1: burned down. So it's not that far back in our

647
00:36:15,120 --> 00:36:18,040
Speaker 1: history that those kind of things have happened. And I

648
00:36:18,719 --> 00:36:23,120
Speaker 1: do think that it's worth noting that there was no

649
00:36:23,239 --> 00:36:26,480
Speaker 1: realistic expectation that no matter what happens on the Republican

650
00:36:26,520 --> 00:36:29,200
Speaker 1: side there there's not gonna be right wing riots in

651
00:36:29,239 --> 00:36:32,560
Speaker 1: the streets. This is not gonna happen. But with a

652
00:36:32,800 --> 00:36:35,520
Speaker 1: with Antifa, they were gonna be ryants. I think no

653
00:36:35,520 --> 00:36:38,640
Speaker 1: matter what, I just couldn't tell you right now which one.

654
00:36:38,760 --> 00:36:41,440
Speaker 1: I think it'll be bigger if they lose, but they'll

655
00:36:41,440 --> 00:36:46,080
Speaker 1: still be pretty substantial destruction and and really you know,

656
00:36:46,120 --> 00:36:48,520
Speaker 1: abhorrent activity from the left even if even if they

657
00:36:48,560 --> 00:36:52,480
Speaker 1: win the House, because they'll feel like that's a validation

658
00:36:52,719 --> 00:36:56,360
Speaker 1: of their crazy anti fascist or whatever they call it beliefs.

659
00:36:57,280 --> 00:36:59,400
Speaker 1: So it's heads you win, tails you lose that you

660
00:36:59,719 --> 00:37:03,719
Speaker 1: heads you win. Gosh buck, you know, can't food and

661
00:37:03,760 --> 00:37:05,680
Speaker 1: once can't get can't get fooled again. I'm trying to

662
00:37:05,680 --> 00:37:08,640
Speaker 1: do this. Heads you lose, tales they win. There you go.

663
00:37:08,680 --> 00:37:11,239
Speaker 1: That's what I'm trying to say. Uh we we will

664
00:37:11,280 --> 00:37:14,239
Speaker 1: discuss Google and whether it is biased. Trump called them

665
00:37:14,239 --> 00:37:15,839
Speaker 1: out for it. I've got that coming up for you.

666
00:37:15,920 --> 00:37:20,279
Speaker 1: Also the Mexico US and Canada trade deal and then

667
00:37:20,360 --> 00:37:25,800
Speaker 1: third Hour rapid onset gender dys for you. That's coming up, folks.

668
00:37:25,880 --> 00:37:28,560
Speaker 1: I'm really into home security. It's essential wherever you are

669
00:37:28,560 --> 00:37:30,399
Speaker 1: across the country, whether you're in a city or out

670
00:37:30,400 --> 00:37:33,160
Speaker 1: in the countryside. By yourself. That's why I'm such a

671
00:37:33,200 --> 00:37:35,960
Speaker 1: fan of Simply Save home Security. I know I talked

672
00:37:35,960 --> 00:37:37,600
Speaker 1: to you about them on the show regularly. It's because

673
00:37:37,600 --> 00:37:40,200
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674
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675
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676
00:37:46,960 --> 00:37:50,120
Speaker 1: during power outages or down WiFi. So if somebody comes

677
00:37:50,120 --> 00:37:53,000
Speaker 1: in realizes you have a simply Safe system and tries

678
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Speaker 1: to break it, it'll keep working even if they smash

679
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Speaker 1: your keypad. Okay. The system is so easy to use.

680
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Speaker 1: Even I can use them. I'm not so good with technology.

681
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686
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687
00:38:22,480 --> 00:38:25,480
Speaker 1: Safe dot Com slash Buck. Yeah. I think Google is

688
00:38:26,000 --> 00:38:28,279
Speaker 1: really taking advantage of a lot of people, and I

689
00:38:28,320 --> 00:38:30,359
Speaker 1: think that's a very serious thing, and it's a very

690
00:38:30,400 --> 00:38:34,239
Speaker 1: serious charge. I think what Google and what others are doing.

691
00:38:34,280 --> 00:38:36,480
Speaker 1: If you look at what's going on in Twitter, if

692
00:38:36,480 --> 00:38:39,440
Speaker 1: you look at what's going on and Facebook, Uh, they

693
00:38:39,560 --> 00:38:42,280
Speaker 1: better be careful because you're you can't do that to people.

694
00:38:42,400 --> 00:38:45,280
Speaker 1: You can't do it. We have tremendous we have literally

695
00:38:45,360 --> 00:38:49,480
Speaker 1: thousands and thousands of complaints coming in and you just

696
00:38:49,520 --> 00:38:52,480
Speaker 1: can't do that. So I think that Google and Twitter

697
00:38:52,760 --> 00:38:57,040
Speaker 1: and Facebook, they're really treading on very, very troubled territory

698
00:38:57,200 --> 00:38:59,120
Speaker 1: and they have to be careful. It's not fair to

699
00:38:59,239 --> 00:39:06,000
Speaker 1: large force is of the population. The President still still

700
00:39:06,040 --> 00:39:10,520
Speaker 1: staying staying on message here about these social media giants

701
00:39:10,520 --> 00:39:14,440
Speaker 1: and the way that they are affecting a discourse in

702
00:39:14,440 --> 00:39:17,920
Speaker 1: this country. Folks. It's this is the single most important

703
00:39:17,920 --> 00:39:20,839
Speaker 1: issue that people don't get fired up about right now. Well,

704
00:39:20,920 --> 00:39:24,439
Speaker 1: some people do, but this should be considered a much,

705
00:39:25,080 --> 00:39:28,040
Speaker 1: a much bigger thing in the minds of a lot

706
00:39:28,080 --> 00:39:31,960
Speaker 1: of folks in my opinion than it is. Because this

707
00:39:32,080 --> 00:39:36,040
Speaker 1: they can control the way we discuss political issues, They

708
00:39:36,040 --> 00:39:38,560
Speaker 1: can control the way that information is shared, and they

709
00:39:38,560 --> 00:39:43,440
Speaker 1: can do it without having uh, you know, transparency. They

710
00:39:43,440 --> 00:39:45,680
Speaker 1: can do it without us even knowing what's going on.

711
00:39:45,800 --> 00:39:49,759
Speaker 1: Right at least when they used to have the full

712
00:39:49,840 --> 00:39:54,920
Speaker 1: mainstream media at their disposal. At least when that was

713
00:39:55,000 --> 00:39:58,759
Speaker 1: the case, it was clear who was saying what, and

714
00:39:59,400 --> 00:40:03,040
Speaker 1: it was is that they were, you know, presenting one

715
00:40:03,080 --> 00:40:06,239
Speaker 1: side of the story. Um, you know, here's the and then,

716
00:40:06,320 --> 00:40:08,040
Speaker 1: by the way, you know Eric Weinstein, who's one of

717
00:40:08,080 --> 00:40:10,480
Speaker 1: these liberal professors that has realized that the liberal left

718
00:40:10,520 --> 00:40:14,080
Speaker 1: has lost their minds um he he did an experiment

719
00:40:14,120 --> 00:40:17,319
Speaker 1: today to show that because because here's what happens. They

720
00:40:17,480 --> 00:40:19,600
Speaker 1: you know, Facebook gets caught and says, oh no, we're

721
00:40:19,600 --> 00:40:21,359
Speaker 1: not doing that, and then it turns out they are.

722
00:40:21,680 --> 00:40:23,919
Speaker 1: Twitter gets caught and says, oh no, we're not doing that,

723
00:40:24,200 --> 00:40:27,160
Speaker 1: and then they get and then they say, okay, we are. Uh.

724
00:40:27,200 --> 00:40:30,760
Speaker 1: And and that's because people push them on this. Here's

725
00:40:31,440 --> 00:40:34,919
Speaker 1: Eric Weinstein, who is this this uh, managing director at

726
00:40:34,960 --> 00:40:38,080
Speaker 1: at Oh I'm sorry, manage director at Teal Capital. I'm

727
00:40:38,080 --> 00:40:40,920
Speaker 1: I'm wrong about about his background. I thought he was.

728
00:40:40,920 --> 00:40:43,879
Speaker 1: I was confusing him with a different with a professor. Um,

729
00:40:43,920 --> 00:40:46,200
Speaker 1: but he's at a Teal Capital, he says. From gun

730
00:40:46,239 --> 00:40:50,960
Speaker 1: control to mind control. Tried locating non gun products on

731
00:40:51,000 --> 00:40:57,120
Speaker 1: Google yesterday with guns in the name glue, Guns Gone, Pistol,

732
00:40:57,160 --> 00:41:05,160
Speaker 1: and he's nope, soldering guns, gone shotgun microphones, forget about it,

733
00:41:05,320 --> 00:41:12,680
Speaker 1: poof with the flick of a switch. Uh, folks. He

734
00:41:12,800 --> 00:41:14,719
Speaker 1: shared all this on I mean this one viral. He

735
00:41:14,719 --> 00:41:18,239
Speaker 1: shared all this on Google. Explain to me how their

736
00:41:18,239 --> 00:41:21,640
Speaker 1: algorithm is not making a political statement. How Google's algorithm

737
00:41:21,680 --> 00:41:24,879
Speaker 1: is not changing what you see, folks, when you look

738
00:41:24,920 --> 00:41:26,839
Speaker 1: for an issue that you care about, when you look

739
00:41:26,920 --> 00:41:30,319
Speaker 1: to buy something, when you look to be connected with

740
00:41:30,480 --> 00:41:34,360
Speaker 1: something or someone on the Internet, and you use search

741
00:41:35,000 --> 00:41:36,680
Speaker 1: thinking that it's just gonna give you the best, the

742
00:41:36,719 --> 00:41:40,080
Speaker 1: most efficient, the most accurate. Explain to me how it

743
00:41:40,200 --> 00:41:42,640
Speaker 1: is that when this guy and he has all the screenshots.

744
00:41:42,719 --> 00:41:46,600
Speaker 1: Eric Wantey at Teal Capital, very serious venture capital funded

745
00:41:46,640 --> 00:41:49,000
Speaker 1: Silicon Valley, Okay, that this guy is just saying, look,

746
00:41:49,040 --> 00:41:52,439
Speaker 1: this is crazy. He did a search for glue gun

747
00:41:54,120 --> 00:41:58,880
Speaker 1: on Google Shopping and nothing shows up. He does a

748
00:42:00,200 --> 00:42:05,279
Speaker 1: search for squirt gun on Google Shopping and nothing comes up.

749
00:42:06,920 --> 00:42:08,839
Speaker 1: I need someone to explain to how that can happen.

750
00:42:08,880 --> 00:42:12,600
Speaker 1: And there's so many other instances of this, folks, where

751
00:42:12,680 --> 00:42:16,120
Speaker 1: you know that there's something is up, and to tell

752
00:42:16,200 --> 00:42:18,560
Speaker 1: me that the algorithm but no, I'm sorry, that's that's

753
00:42:18,600 --> 00:42:22,759
Speaker 1: not what's I refuse to accept their idiotic explanations for this.

754
00:42:22,840 --> 00:42:27,919
Speaker 1: These are folks. Social media giants are very smart. Uh,

755
00:42:27,960 --> 00:42:30,600
Speaker 1: and and the people running them are very intelligent. Okay,

756
00:42:30,719 --> 00:42:33,640
Speaker 1: let's not let's not get this twisted. They know what

757
00:42:33,719 --> 00:42:36,520
Speaker 1: they're doing, they understand the power they have, They have

758
00:42:36,719 --> 00:42:41,040
Speaker 1: almost unlimited funds and resources. And we're just beginning to

759
00:42:41,040 --> 00:42:42,480
Speaker 1: come to grips with the fact I think as a

760
00:42:42,520 --> 00:42:49,160
Speaker 1: country that these social media companies are as liberal as

761
00:42:49,200 --> 00:42:52,560
Speaker 1: the faculty lounge at Brown University. And they are. They

762
00:42:52,560 --> 00:42:57,480
Speaker 1: are liberal propagandists. And the only reason that they're not

763
00:42:57,520 --> 00:43:01,720
Speaker 1: being open and honest about this is because is they

764
00:43:02,160 --> 00:43:05,480
Speaker 1: don't want to lose market share. They want to maintain

765
00:43:05,520 --> 00:43:07,359
Speaker 1: their power and all the wealth and all the money

766
00:43:07,440 --> 00:43:11,040
Speaker 1: that comes with all this. Uh. But you know this

767
00:43:11,160 --> 00:43:16,480
Speaker 1: is this is becoming something that they can hide from anymore.

768
00:43:17,200 --> 00:43:20,080
Speaker 1: They will not be able to keep keep claiming nothing

769
00:43:20,080 --> 00:43:23,040
Speaker 1: goes on. I mean, this is you know I shared

770
00:43:23,120 --> 00:43:28,080
Speaker 1: on the weekend or this on Twitter because Twitter said

771
00:43:28,120 --> 00:43:32,320
Speaker 1: that death threats against Dana Lash's children did not violate

772
00:43:32,360 --> 00:43:35,040
Speaker 1: the platform's policies last week. I told you about that, right, Well,

773
00:43:35,080 --> 00:43:36,440
Speaker 1: this is what I said in response to it. When

774
00:43:36,440 --> 00:43:39,240
Speaker 1: a social media company makes the wrong decision, it's a mistake.

775
00:43:39,719 --> 00:43:42,000
Speaker 1: When it keeps making the wrong decision, it's a policy.

776
00:43:42,560 --> 00:43:45,520
Speaker 1: When it won't stop making the wrong decision, it's politics.

777
00:43:45,600 --> 00:43:49,440
Speaker 1: And that's where we are now. They get caught and

778
00:43:49,520 --> 00:43:52,600
Speaker 1: we see that, you know, sure enough, they they are

779
00:43:52,680 --> 00:43:55,120
Speaker 1: doing the thing that they claim to not be doing.

780
00:43:56,000 --> 00:44:00,480
Speaker 1: They get caught doing it, and then they caught doing

781
00:44:00,520 --> 00:44:02,920
Speaker 1: it multiple times, so it's not you know, aberrant, it's

782
00:44:02,960 --> 00:44:06,600
Speaker 1: not a one off. And then they say, well, you

783
00:44:06,600 --> 00:44:09,560
Speaker 1: know it's not where we're not really doing it or

784
00:44:09,600 --> 00:44:11,279
Speaker 1: we're gonna fix it and something. And then then they

785
00:44:11,360 --> 00:44:15,040
Speaker 1: let us know they're not really gonna stop doing it.

786
00:44:15,040 --> 00:44:18,160
Speaker 1: It's because they want to do it. They just don't

787
00:44:18,160 --> 00:44:19,440
Speaker 1: want to be caught. They don't want to have to

788
00:44:19,480 --> 00:44:23,000
Speaker 1: deal with the consequences of it. Uh. You know this,

789
00:44:23,000 --> 00:44:25,520
Speaker 1: this is not going to get better anytime soon. This

790
00:44:25,600 --> 00:44:30,239
Speaker 1: is gonna keep getting worse and worse. Uh. And the

791
00:44:30,360 --> 00:44:35,440
Speaker 1: denial that Google has, you know, Google denying um that

792
00:44:35,600 --> 00:44:40,400
Speaker 1: they have any politics whatsoever. I mean today on Google Maps,

793
00:44:40,440 --> 00:44:46,080
Speaker 1: you may have seen this the Rayburn building was I

794
00:44:46,080 --> 00:44:48,439
Speaker 1: think was Rayburn? No no wait, I'm getting my build

795
00:44:48,440 --> 00:44:52,040
Speaker 1: I'm getting my congressional buildings, and it wasn't Rayburn. I'm

796
00:44:52,040 --> 00:44:54,200
Speaker 1: forgetting which one it was now, but whatever, want one

797
00:44:54,239 --> 00:44:57,040
Speaker 1: of the the Senate building that they say they're gonna

798
00:44:57,239 --> 00:45:03,040
Speaker 1: rename for um, you know, renamed for McCain, which has

799
00:45:03,080 --> 00:45:06,680
Speaker 1: now become this this issue that I don't think, you know,

800
00:45:06,800 --> 00:45:09,200
Speaker 1: I don't think it's gonna the Russell Building, not Rayburn,

801
00:45:09,239 --> 00:45:13,440
Speaker 1: thank you, sorry, the Russell Building, pardon me, folks. The

802
00:45:13,520 --> 00:45:18,560
Speaker 1: Russell Building on Google Maps today was renamed in favor

803
00:45:18,600 --> 00:45:20,480
Speaker 1: of John McCain. They already did it and then they

804
00:45:20,520 --> 00:45:24,919
Speaker 1: changed it back. You know, Google on different days will

805
00:45:24,960 --> 00:45:28,000
Speaker 1: have you know, all their search stuff will be rainbow

806
00:45:28,080 --> 00:45:30,120
Speaker 1: for like Gay Pride month or all. And they're making

807
00:45:30,160 --> 00:45:33,359
Speaker 1: statements and they're making decisions all the time, just like

808
00:45:33,440 --> 00:45:37,520
Speaker 1: news organizations are. And they can do that. They are

809
00:45:37,560 --> 00:45:39,520
Speaker 1: private companies, but they should at least be honest about it.

810
00:45:39,520 --> 00:45:40,920
Speaker 1: And then there's this other point that I don't think

811
00:45:41,000 --> 00:45:44,120
Speaker 1: enough people understand or hear about. And then is that okay,

812
00:45:44,120 --> 00:45:49,640
Speaker 1: private company, yes, but the FCC regulates private companies. Sinclair

813
00:45:49,920 --> 00:45:53,400
Speaker 1: was not able to merge with Tribune because of the FCC, folks,

814
00:45:53,800 --> 00:45:58,120
Speaker 1: which was just infringing upon speech and free association. And

815
00:45:58,280 --> 00:45:59,839
Speaker 1: you know, it was a corporate merger that wouldn't get

816
00:45:59,840 --> 00:46:05,239
Speaker 1: a because of some bs about reach into local communities

817
00:46:05,239 --> 00:46:07,759
Speaker 1: that the FCC regulates based on the old cable model.

818
00:46:07,760 --> 00:46:10,919
Speaker 1: I mean, it's crazy. So I don't think that this

819
00:46:11,040 --> 00:46:14,720
Speaker 1: is as simple and straightforward just oh well, they're private companies,

820
00:46:14,719 --> 00:46:17,359
Speaker 1: so they can do whatever they want. If they are

821
00:46:19,120 --> 00:46:23,480
Speaker 1: going to be the massive arbiters of what we're hearing,

822
00:46:23,560 --> 00:46:26,200
Speaker 1: what we're seeing, what we're buying, that they are, then

823
00:46:26,400 --> 00:46:28,799
Speaker 1: they will be subject regulation. You'll notice the Democrats are

824
00:46:28,800 --> 00:46:31,239
Speaker 1: a little quiet on regulation of this stuff because they

825
00:46:31,239 --> 00:46:33,200
Speaker 1: don't want to have regulations go into place. When there's

826
00:46:33,200 --> 00:46:36,880
Speaker 1: a Republican administration and a Republican House and Senate. Usually

827
00:46:36,920 --> 00:46:40,920
Speaker 1: they love regulation. Usually they think it's fantastic to regulate

828
00:46:41,360 --> 00:46:44,399
Speaker 1: all kinds of things. I think that's I think it's

829
00:46:44,400 --> 00:46:47,600
Speaker 1: a very it's very important. Look, Google is there's stuff

830
00:46:47,600 --> 00:46:49,160
Speaker 1: going on in Google. There's no question in my mind.

831
00:46:49,800 --> 00:46:54,080
Speaker 1: Search is an immensely powerful thing to have control over

832
00:46:54,560 --> 00:46:56,759
Speaker 1: and to to be able to just say, oh, it's

833
00:46:56,800 --> 00:46:59,439
Speaker 1: just the algorithm. You know, we have no say in this,

834
00:46:59,600 --> 00:47:01,799
Speaker 1: or it's ut there's nothing we can do to change this.

835
00:47:02,280 --> 00:47:07,080
Speaker 1: That's very very convenient, my friends. It's very convenient, and

836
00:47:07,360 --> 00:47:09,840
Speaker 1: it's not true. And Trump is calling them out. And

837
00:47:09,920 --> 00:47:12,719
Speaker 1: that's why there's there's some nervousness in some quarters here

838
00:47:12,760 --> 00:47:18,080
Speaker 1: because I think there's a recognition that the the game

839
00:47:18,239 --> 00:47:20,840
Speaker 1: is changing here. This is not gonna be able to

840
00:47:20,880 --> 00:47:24,399
Speaker 1: continue on, and these social media companies they're gonna feel

841
00:47:24,400 --> 00:47:27,200
Speaker 1: in there while it's eventually if they don't, you know,

842
00:47:27,640 --> 00:47:31,440
Speaker 1: start being an actual neutral pathways to speech and and

843
00:47:31,480 --> 00:47:34,040
Speaker 1: searching all the rest of it. Eight four four nine

844
00:47:34,480 --> 00:47:38,400
Speaker 1: to eight to five eight four four nine hundred buck.

845
00:47:39,400 --> 00:47:44,719
Speaker 1: We will discuss a bit of CNN's need to backpedal

846
00:47:44,760 --> 00:47:46,520
Speaker 1: on something that they won't backpedal on, and then also

847
00:47:46,960 --> 00:47:50,120
Speaker 1: wrap it onset gender. Just for your fascinating concept. I

848
00:47:50,120 --> 00:47:52,120
Speaker 1: think you'll probably hear better here for the first time,

849
00:47:52,120 --> 00:47:54,319
Speaker 1: but you'll be really interested. I know I was to

850
00:47:54,360 --> 00:47:57,720
Speaker 1: read about it. Uh, And that's all coming up. Hiring

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Speaker 1: any job, but particularly to get a job that involves

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Speaker 1: any kind of a skilled laborer, or you need somebody

860
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861
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862
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Speaker 1: recruiter dot com, slash buck, zip recruiter dot com slash buck. Folks,

863
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865
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867
00:48:52,200 --> 00:48:54,839
Speaker 1: You're gonna get great candidates so quickly and fill that

868
00:48:54,920 --> 00:48:57,879
Speaker 1: job with the best possible person at zip recruiter. I'm

869
00:48:57,920 --> 00:49:01,200
Speaker 1: going to tell our Naster partners that I intend to

870
00:49:01,239 --> 00:49:06,399
Speaker 1: immediately renegotiate the terms of that agreement to get a

871
00:49:06,520 --> 00:49:10,359
Speaker 1: better deal by a lot, not just a little, by

872
00:49:10,400 --> 00:49:14,440
Speaker 1: a lot for our workers. A Trump administration will end

873
00:49:14,440 --> 00:49:17,520
Speaker 1: that war by getting a fair deal for the American

874
00:49:17,560 --> 00:49:21,840
Speaker 1: people and the American worker. The era of economic surrender

875
00:49:22,160 --> 00:49:26,280
Speaker 1: will finally be over. I think it's a very growthy

876
00:49:26,320 --> 00:49:29,160
Speaker 1: trade deal. This thing does a lot. It keeps the

877
00:49:29,200 --> 00:49:32,960
Speaker 1: integrated supply chain going in North America. That is huge

878
00:49:33,000 --> 00:49:36,880
Speaker 1: for business confidence. Um, it opens up a lot of markets.

879
00:49:36,920 --> 00:49:41,360
Speaker 1: It protects intellectual property. It actually extends some patents and

880
00:49:41,440 --> 00:49:45,400
Speaker 1: copyrights for new drugs. All this is very helpful. It

881
00:49:45,400 --> 00:49:48,799
Speaker 1: protects workers, Okay, it has a higher domestic or North

882
00:49:48,840 --> 00:49:52,040
Speaker 1: American content. That's a good thing because you know, we

883
00:49:52,080 --> 00:49:55,080
Speaker 1: don't really want China to uh to come on and encroach.

884
00:49:55,280 --> 00:49:57,279
Speaker 1: They won't let us in their place, so we're gonna

885
00:49:57,320 --> 00:50:01,479
Speaker 1: have to protect our own workers. It shows you two

886
00:50:01,520 --> 00:50:05,520
Speaker 1: sides with goodwill can sit down and work out what

887
00:50:05,719 --> 00:50:09,560
Speaker 1: is essentially a free trade deal, free trade, fair trade

888
00:50:10,040 --> 00:50:12,640
Speaker 1: and get it going. Nobody thought we could do it.

889
00:50:15,520 --> 00:50:17,279
Speaker 1: You know, it wasn't that amazing. That was Trump on

890
00:50:17,320 --> 00:50:20,160
Speaker 1: the campaign trail saying what he was gonna do. That

891
00:50:20,280 --> 00:50:22,879
Speaker 1: was then, and this is now Larry Coudlow saying, yeah,

892
00:50:22,880 --> 00:50:24,440
Speaker 1: they look, we got this deal. Gun looks like it's

893
00:50:24,440 --> 00:50:27,000
Speaker 1: going through. It's great. It's pro growth, protects us but

894
00:50:27,360 --> 00:50:30,160
Speaker 1: fair to them, and it's just gonna be good all around.

895
00:50:31,360 --> 00:50:33,640
Speaker 1: But wait a second, I thought Trump was a buffoon

896
00:50:33,680 --> 00:50:36,040
Speaker 1: who couldn't do anything on the economy. I thought Trump

897
00:50:36,040 --> 00:50:41,120
Speaker 1: didn't know anything. Oh wow, following through and yet yet

898
00:50:41,239 --> 00:50:44,680
Speaker 1: another promise. Here on this U S. Mexico trade deal,

899
00:50:44,680 --> 00:50:47,320
Speaker 1: he's looking good. You know. I had a union rep.

900
00:50:48,320 --> 00:50:51,279
Speaker 1: It was very union like on my on my TV

901
00:50:51,360 --> 00:50:53,239
Speaker 1: show today and and I'm we I got talking. He

902
00:50:53,320 --> 00:50:55,640
Speaker 1: was a represents as steel workers or iron workers and

903
00:50:55,880 --> 00:50:58,600
Speaker 1: iron workers I think, and he was saying, yeah, you

904
00:50:58,640 --> 00:51:00,319
Speaker 1: know this, we gotta see what's in the I prip.

905
00:51:00,320 --> 00:51:02,920
Speaker 1: But it's actually pretty good deal. So I'm like, okay,

906
00:51:02,920 --> 00:51:05,200
Speaker 1: So now we get even union people are saying it's

907
00:51:05,200 --> 00:51:07,440
Speaker 1: a pretty good deal. Free trade people are saying it's

908
00:51:07,440 --> 00:51:09,920
Speaker 1: a pretty good deal. Maybe it is just a pretty

909
00:51:09,920 --> 00:51:12,160
Speaker 1: good deal. And you know, at some point, I think

910
00:51:12,160 --> 00:51:14,160
Speaker 1: it's fair to take stock of what the media was

911
00:51:14,239 --> 00:51:18,000
Speaker 1: saying was gonna happen versus what has happened. Trump said

912
00:51:18,000 --> 00:51:19,279
Speaker 1: he was going to get a great deal. Here we

913
00:51:19,320 --> 00:51:21,560
Speaker 1: are now talking about this deal. It could be really

914
00:51:21,600 --> 00:51:25,480
Speaker 1: really good. What were they saying about this though? Um,

915
00:51:25,560 --> 00:51:28,960
Speaker 1: they were they were claiming that. Well, here here's what

916
00:51:29,000 --> 00:51:32,840
Speaker 1: they were originally saying. Play clip for We're in the

917
00:51:32,880 --> 00:51:36,040
Speaker 1: Mason stages of a full scale trade war, and the

918
00:51:36,040 --> 00:51:38,880
Speaker 1: President simply seems to want to escalate. It's not just

919
00:51:39,120 --> 00:51:41,680
Speaker 1: my state that is involved here, it's our nation. It

920
00:51:41,760 --> 00:51:45,400
Speaker 1: has significant consequences for us here at home, not only

921
00:51:45,640 --> 00:51:49,960
Speaker 1: just economically politically. If you alienate Mexico over the wall,

922
00:51:49,960 --> 00:51:51,880
Speaker 1: over and and over knocked that, what you end up

923
00:51:51,880 --> 00:51:54,759
Speaker 1: doing is electing this summer a much more nationalistic, much

924
00:51:54,760 --> 00:52:01,160
Speaker 1: more radical Mexican president who will not cooperate. Well, that's

925
00:52:01,200 --> 00:52:05,279
Speaker 1: what they were saying. Now where are we? Oh well,

926
00:52:05,360 --> 00:52:08,879
Speaker 1: why don't we hear from um? Why don't we hear

927
00:52:08,960 --> 00:52:11,279
Speaker 1: from the Mexican government? Actually, because you know you're hearing there.

928
00:52:11,280 --> 00:52:14,080
Speaker 1: Oh my god, it's gonna be so bad Trump. Can't

929
00:52:14,120 --> 00:52:16,440
Speaker 1: you know? Trump, we're in a trade war in Mexico.

930
00:52:16,680 --> 00:52:20,239
Speaker 1: Is gonna respond with all kinds of punitive person all

931
00:52:20,280 --> 00:52:22,160
Speaker 1: what what terrors is Mexican really gonna get in a

932
00:52:22,160 --> 00:52:25,640
Speaker 1: trade war with US? I don't think so, right, But

933
00:52:25,680 --> 00:52:27,440
Speaker 1: what does the Mexican government think of this? Because I'm

934
00:52:27,440 --> 00:52:30,240
Speaker 1: sure that there's some Democrats who, in their usual whatever

935
00:52:30,280 --> 00:52:32,520
Speaker 1: Trump is doing is bad, whatever Trump is for I'm

936
00:52:32,560 --> 00:52:36,120
Speaker 1: against mindset, would say, well, you know, the Mexican government

937
00:52:36,200 --> 00:52:38,200
Speaker 1: is not they're not getting as good a deal here

938
00:52:38,280 --> 00:52:40,360
Speaker 1: or something. Well, here's what the Secretary of Foreign Affairs

939
00:52:40,520 --> 00:52:43,920
Speaker 1: for for Mexico starts play five. It's really significance. I

940
00:52:43,960 --> 00:52:48,840
Speaker 1: think it's a breakthrough and it shows that two countries

941
00:52:49,360 --> 00:52:52,080
Speaker 1: can actually get together and do a good deal, and

942
00:52:52,120 --> 00:52:54,799
Speaker 1: a good deal for both of them. That is reciprocal,

943
00:52:54,840 --> 00:52:57,439
Speaker 1: that is fair, and we allow growth on both sides.

944
00:52:57,560 --> 00:52:59,879
Speaker 1: Is good for Mexican workers, is good for the American worker.

945
00:53:00,160 --> 00:53:06,840
Speaker 1: I think that's a brilliant deal. Okay, so can someone

946
00:53:06,880 --> 00:53:11,279
Speaker 1: tell me where where Trump has been wrong? Here? Can

947
00:53:11,360 --> 00:53:16,400
Speaker 1: somebody tell me how you know how this is the disaster? Oh,

948
00:53:16,520 --> 00:53:18,600
Speaker 1: it's a trade war and look what Trump is doing.

949
00:53:18,719 --> 00:53:25,560
Speaker 1: And um meanwhile, you know we see this and this

950
00:53:25,600 --> 00:53:27,279
Speaker 1: is looking good hole around for I mean, isn't it

951
00:53:27,320 --> 00:53:29,640
Speaker 1: just amazing when you at what point do we start

952
00:53:29,680 --> 00:53:31,560
Speaker 1: to say it's it's It must be like the media

953
00:53:31,760 --> 00:53:35,799
Speaker 1: doesn't really believe what they're saying, or or they just

954
00:53:35,840 --> 00:53:38,320
Speaker 1: don't mind being wrong all the time. They are wrong

955
00:53:39,360 --> 00:53:41,680
Speaker 1: all the time on this stuff. They keep being wrong

956
00:53:41,680 --> 00:53:43,640
Speaker 1: when it comes to Trump. This is why, you know,

957
00:53:43,680 --> 00:53:46,400
Speaker 1: even when I'm not even sure and hey, those of

958
00:53:46,440 --> 00:53:49,040
Speaker 1: you losing the show No. Early on with the whole

959
00:53:49,080 --> 00:53:51,520
Speaker 1: trade thing. I was saying, guys, Trump has earned the right,

960
00:53:51,560 --> 00:53:54,000
Speaker 1: in my mind to do this his way. He's beaten,

961
00:53:54,640 --> 00:53:58,000
Speaker 1: he's beaten the conventional wisdoms so many times. Am I

962
00:53:58,040 --> 00:53:59,560
Speaker 1: really going to be the one to sit here and say, well,

963
00:53:59,560 --> 00:54:02,200
Speaker 1: are you gonna free trade? Free trade? He has single

964
00:54:02,280 --> 00:54:07,719
Speaker 1: handedly changed our national conversation about trade, broken us out

965
00:54:07,760 --> 00:54:10,680
Speaker 1: of the constraints of whatever the trade deals were that

966
00:54:10,719 --> 00:54:13,280
Speaker 1: we had were the best deals. It's just it makes

967
00:54:13,440 --> 00:54:15,960
Speaker 1: no sense when you approach you just as a reasonable person.

968
00:54:16,400 --> 00:54:20,040
Speaker 1: But the echo chamber effect was so strong. Trump has

969
00:54:20,080 --> 00:54:22,759
Speaker 1: broken out of that, and now he's already getting results.

970
00:54:23,320 --> 00:54:26,160
Speaker 1: And even though he's showing results, they're still wrong all

971
00:54:26,200 --> 00:54:29,920
Speaker 1: the time. Here's a on on CNN. This was just

972
00:54:30,040 --> 00:54:33,440
Speaker 1: the last in the last few days. Uh. Here here's

973
00:54:33,440 --> 00:54:36,120
Speaker 1: what I'm sorry. Yeah, this is a Washington Post reporter

974
00:54:36,200 --> 00:54:39,799
Speaker 1: on CNN. Play clip six. Trump really needs a win, right,

975
00:54:39,840 --> 00:54:41,880
Speaker 1: He needs a win before the midterms. He wants to

976
00:54:41,920 --> 00:54:44,239
Speaker 1: be able to say that he has renegotiated and after.

977
00:54:44,600 --> 00:54:46,960
Speaker 1: In that case, he needs Canada on board. And you

978
00:54:47,000 --> 00:54:49,560
Speaker 1: have this very short window to get Canada on board.

979
00:54:49,800 --> 00:54:52,560
Speaker 1: Otherwise the whole deal could fall apart on the Mexico side.

980
00:54:52,640 --> 00:54:55,239
Speaker 1: We love Canada and we want to have Canada as

981
00:54:55,280 --> 00:54:58,080
Speaker 1: part of the deal. But in case of there that

982
00:54:58,440 --> 00:55:00,960
Speaker 1: for whatever reason Kinda is not able to join, well

983
00:55:01,040 --> 00:55:02,919
Speaker 1: we'll still have a deal with the US and we'll

984
00:55:02,960 --> 00:55:07,719
Speaker 1: move on. So that was what they were saying. You

985
00:55:07,760 --> 00:55:09,839
Speaker 1: know that, okay, And to be fair, not a full

986
00:55:09,840 --> 00:55:12,080
Speaker 1: scale prediction that Canada wouldn't be a part of this,

987
00:55:12,320 --> 00:55:14,480
Speaker 1: but you know, very very concerned, and Trump needs a win.

988
00:55:15,080 --> 00:55:17,760
Speaker 1: Here's a headline from just a couple of hours ago, folks,

989
00:55:17,840 --> 00:55:24,560
Speaker 1: Canada rejoins nough to talks as US autos tariff details emerge.

990
00:55:26,200 --> 00:55:29,600
Speaker 1: You know, this is uh, it's almost like Trump's approach

991
00:55:29,640 --> 00:55:33,399
Speaker 1: to all this stuff is working and he's right, and

992
00:55:33,440 --> 00:55:38,280
Speaker 1: these naysayers are are wrong. And the haters in the media,

993
00:55:38,360 --> 00:55:43,160
Speaker 1: that's right, the haters in the media, they are just

994
00:55:44,440 --> 00:55:47,520
Speaker 1: they get angrier as they go along because Trump keeps

995
00:55:47,520 --> 00:55:50,279
Speaker 1: showing that he understands this stuff better than they do

996
00:55:50,880 --> 00:55:54,879
Speaker 1: and he's in a better place on this one. Oh.

997
00:55:54,920 --> 00:55:57,719
Speaker 1: By the way, this is over at MSNBC. Here's what

998
00:55:57,760 --> 00:56:00,960
Speaker 1: they're saying about the deal. Play seven. I think it's

999
00:56:00,960 --> 00:56:04,480
Speaker 1: a great big PR stunt. This isn't maga. Okay, this

1000
00:56:04,560 --> 00:56:07,160
Speaker 1: isn't going to do a lot for the American economy

1001
00:56:07,239 --> 00:56:09,520
Speaker 1: or workers. In fact, in NAFTA was never a problem.

1002
00:56:09,800 --> 00:56:13,040
Speaker 1: The whole thing is like a phony issue. He's just

1003
00:56:13,239 --> 00:56:18,440
Speaker 1: making everything up as he goes along. There is no

1004
00:56:18,800 --> 00:56:21,480
Speaker 1: there is no deal. He says he can get Canada

1005
00:56:22,400 --> 00:56:27,200
Speaker 1: to step in and do a deal in a day. No, no,

1006
00:56:27,880 --> 00:56:31,560
Speaker 1: he can't. He's come up with a name for a deal.

1007
00:56:31,760 --> 00:56:38,279
Speaker 1: There's only one problem. He's got no deal. How wrong

1008
00:56:38,360 --> 00:56:40,040
Speaker 1: can one guy be in one day? I mean, Joe

1009
00:56:40,080 --> 00:56:42,520
Speaker 1: Scarborough seems like he's trying to hit the Guinness Book

1010
00:56:42,520 --> 00:56:45,319
Speaker 1: of World Records. And and with Scarborough, this is just

1011
00:56:45,360 --> 00:56:47,800
Speaker 1: all about ego by the way, you know he he

1012
00:56:47,800 --> 00:56:52,239
Speaker 1: he feels snubbed by Trump and now he's trying to

1013
00:56:52,239 --> 00:56:54,319
Speaker 1: tell everybody how terrible Trump is all the time and

1014
00:56:54,360 --> 00:56:57,120
Speaker 1: act like he's so much smarter than Trump when he's

1015
00:56:57,160 --> 00:56:59,279
Speaker 1: just making a buffoon of himself. I mean that the U. S.

1016
00:56:59,320 --> 00:57:03,520
Speaker 1: Mexico deal is a PR stunt that's just idiotic, and

1017
00:57:03,520 --> 00:57:06,839
Speaker 1: and trade real trade experts say that we no matter what,

1018
00:57:06,960 --> 00:57:09,719
Speaker 1: need to update NAFTA. It's not a PR stunt. So

1019
00:57:09,760 --> 00:57:12,960
Speaker 1: you've got idiots going on TV at MSNBC saying stupid stuff.

1020
00:57:13,040 --> 00:57:16,080
Speaker 1: You've got Joe Scarborough there who just looks, you know,

1021
00:57:16,160 --> 00:57:18,480
Speaker 1: all the time, it's the same thing with him, looks

1022
00:57:18,480 --> 00:57:22,800
Speaker 1: like Trump is, you know, putting the proverbial turd and

1023
00:57:22,840 --> 00:57:25,280
Speaker 1: the punch bowl in front of him. And meanwhile, the

1024
00:57:25,320 --> 00:57:27,800
Speaker 1: country is actually getting getting a great deal out of

1025
00:57:27,800 --> 00:57:30,440
Speaker 1: this and things are going really well, and it's because

1026
00:57:30,440 --> 00:57:35,760
Speaker 1: of Trump, I think. Um, the reporting of this story

1027
00:57:36,520 --> 00:57:41,040
Speaker 1: got mixed up and in the course of a criminal investigation,

1028
00:57:41,160 --> 00:57:43,440
Speaker 1: we were not the source of the story find it

1029
00:57:43,480 --> 00:57:46,040
Speaker 1: to be. And obviously this is a high bar one

1030
00:57:46,040 --> 00:57:49,120
Speaker 1: of the most humiliating and scandalous moments and the entire

1031
00:57:49,240 --> 00:57:52,120
Speaker 1: media behavior of the Trump Russia saga. You know, I've

1032
00:57:52,120 --> 00:57:53,640
Speaker 1: been on your show to talk about a lot of

1033
00:57:53,640 --> 00:57:55,800
Speaker 1: these humiliating moments, and this might be one of the

1034
00:57:55,840 --> 00:57:58,800
Speaker 1: worst ones yet. Um, keep in mind that, in addition

1035
00:57:58,840 --> 00:58:00,800
Speaker 1: to all the facts that you just what's so crucial

1036
00:58:00,800 --> 00:58:03,640
Speaker 1: about this is that after Lannie Davis went on CNN

1037
00:58:03,640 --> 00:58:07,840
Speaker 1: with Anderson Cooper, into Anderson Cooper's shock, admitted that everything

1038
00:58:07,920 --> 00:58:11,800
Speaker 1: CNN had been breathlessly hyping is true was actually false.

1039
00:58:11,960 --> 00:58:14,240
Speaker 1: Namely that Michael Cohen was there when Trump learned about

1040
00:58:14,240 --> 00:58:17,000
Speaker 1: the Trump Tower meeting in advance. The Washington Post in

1041
00:58:17,040 --> 00:58:18,680
Speaker 1: the New York Post listened to that and they said,

1042
00:58:18,720 --> 00:58:22,840
Speaker 1: wait a minute, we independently confirmed CNN stories based on

1043
00:58:22,880 --> 00:58:26,800
Speaker 1: an anonymous source, and our anonymous source was Lannie Davis,

1044
00:58:26,800 --> 00:58:28,520
Speaker 1: who was now saying the whole thing is false. So

1045
00:58:28,600 --> 00:58:30,320
Speaker 1: they did what they had to do and what they

1046
00:58:30,400 --> 00:58:33,560
Speaker 1: what they should have done, which is they attracted the story.

1047
00:58:33,600 --> 00:58:36,400
Speaker 1: They outed their own source. They said, our anonymous sources

1048
00:58:36,520 --> 00:58:39,480
Speaker 1: Lannie Davis, and we now attracted because he says its fault.

1049
00:58:39,840 --> 00:58:43,920
Speaker 1: CNN couldn't do that because they lied to the entire world.

1050
00:58:43,960 --> 00:58:47,560
Speaker 1: They said, as you just played that, they tried to

1051
00:58:47,560 --> 00:58:49,760
Speaker 1: get ahold of Lannie Davis and he refused to comment,

1052
00:58:49,800 --> 00:58:52,800
Speaker 1: when in fact, of course Lannie Davis was also their source,

1053
00:58:53,080 --> 00:58:54,720
Speaker 1: and they don't want to admit that they lied to

1054
00:58:54,760 --> 00:58:58,000
Speaker 1: the world. So there they can't retract the story, um,

1055
00:58:58,080 --> 00:59:00,440
Speaker 1: and they can't admit they lied, So they're just continuing

1056
00:59:00,480 --> 00:59:02,520
Speaker 1: to stick to what everybody knows it a lie, but

1057
00:59:02,600 --> 00:59:04,680
Speaker 1: not many people care because people think a lot of

1058
00:59:04,680 --> 00:59:07,720
Speaker 1: people anyway that it was done for the right political agenda.

1059
00:59:09,920 --> 00:59:12,800
Speaker 1: I gotta tell you, I was Glenn Greenwall. He was

1060
00:59:12,800 --> 00:59:15,040
Speaker 1: on Fox there on Tucker Show. He's totally right, folks,

1061
00:59:15,520 --> 00:59:20,680
Speaker 1: This this debacle at CNN is delicious. You know, it's

1062
00:59:20,680 --> 00:59:23,080
Speaker 1: not an apple, it's a banana, or it's not a banana,

1063
00:59:23,120 --> 00:59:25,800
Speaker 1: it's an apple. Facts. First, the most trusted name and

1064
00:59:25,880 --> 00:59:29,400
Speaker 1: news all that stuff, CNN so full of crap. First

1065
00:59:29,400 --> 00:59:31,520
Speaker 1: of all, they they you know, they they always talking

1066
00:59:31,520 --> 00:59:34,840
Speaker 1: about their reporting and and they're really just often printing

1067
00:59:34,920 --> 00:59:37,479
Speaker 1: gossip about Trump from whomever they can get it from.

1068
00:59:37,960 --> 00:59:40,800
Speaker 1: And and they don't care if it's true, if it's plausible,

1069
00:59:41,160 --> 00:59:43,680
Speaker 1: it doesn't really matter. It doesn't really matter. They're really

1070
00:59:43,720 --> 00:59:46,560
Speaker 1: just looking for a way to hit Trump, and any

1071
00:59:46,600 --> 00:59:50,160
Speaker 1: excuse that they can get to hit Trump they are, uh,

1072
00:59:50,200 --> 00:59:53,040
Speaker 1: they are happy with. And even if it means that

1073
00:59:53,040 --> 00:59:56,080
Speaker 1: they have to eventually walk it back or or admit

1074
00:59:56,160 --> 00:59:59,400
Speaker 1: that it was you know, total and utter nonsense, they

1075
01:00:00,880 --> 01:00:03,640
Speaker 1: they just don't care. But in this case, it's so

1076
01:00:04,680 --> 01:00:07,600
Speaker 1: over the line. I mean, they have gone so beyond

1077
01:00:07,720 --> 01:00:12,520
Speaker 1: the bounds of what a news organization should be, you know,

1078
01:00:12,600 --> 01:00:15,720
Speaker 1: willing to do here or you know, how it should

1079
01:00:15,720 --> 01:00:18,960
Speaker 1: correct itself, how it should police itself. The folks they've

1080
01:00:19,040 --> 01:00:21,040
Speaker 1: lost they have lost it over there, they really have.

1081
01:00:21,160 --> 01:00:23,400
Speaker 1: They have lost their minds. So so just so I

1082
01:00:23,400 --> 01:00:25,320
Speaker 1: can give you the details, You're probably like, Buck, what

1083
01:00:25,360 --> 01:00:27,280
Speaker 1: the heck are you talking about? Right, because I love

1084
01:00:27,320 --> 01:00:31,440
Speaker 1: this stuffs and we're so serious. Yeah. Right, Uh, here's

1085
01:00:31,440 --> 01:00:34,960
Speaker 1: what happened. So there's this big story from Jim Shooto,

1086
01:00:35,320 --> 01:00:39,840
Speaker 1: former Obama administration appoint Jim Shootot. You never hear him.

1087
01:00:39,880 --> 01:00:42,000
Speaker 1: You know, maybe we should just start calling it liberal CNN.

1088
01:00:42,680 --> 01:00:44,960
Speaker 1: You know, they used to introduce me on CNN's air as,

1089
01:00:45,000 --> 01:00:47,560
Speaker 1: you know, conservative political pundit, and then they would say

1090
01:00:47,560 --> 01:00:51,000
Speaker 1: and political analyst Van Jones, Well, why am I conservative

1091
01:00:51,000 --> 01:00:53,640
Speaker 1: political pundit? But he's just a political analyist. Someone explained

1092
01:00:53,680 --> 01:00:56,040
Speaker 1: that to me. I mean, I actually spent real time

1093
01:00:56,040 --> 01:00:58,240
Speaker 1: working with the government. He's some guy who got famous

1094
01:00:58,240 --> 01:00:59,960
Speaker 1: for getting fired from the White House, right, I mean,

1095
01:01:01,040 --> 01:01:04,080
Speaker 1: what exactly makes that determination? You know, we should just

1096
01:01:04,080 --> 01:01:07,280
Speaker 1: start saying liberal CNN, Liberal ABC, you know, liberal MSNBC.

1097
01:01:07,760 --> 01:01:11,960
Speaker 1: They say conservative Fox News, so why not? But but

1098
01:01:12,120 --> 01:01:17,960
Speaker 1: liberal CNN with the Jim Shooto. Uh Bernstein, Carl Bernstein

1099
01:01:17,960 --> 01:01:19,960
Speaker 1: of Woodward and Bernstein fam Man, that guy has been

1100
01:01:20,000 --> 01:01:22,919
Speaker 1: dining out on that whole thing for a long time. Uh.

1101
01:01:22,960 --> 01:01:25,560
Speaker 1: And one other journalists I forget who over there, big

1102
01:01:25,640 --> 01:01:28,840
Speaker 1: journal Three guys on the by line for this story

1103
01:01:28,880 --> 01:01:34,680
Speaker 1: that says that Michael Cohen, according to sources, Michael Cohen, Um,

1104
01:01:35,640 --> 01:01:40,200
Speaker 1: I'm sorry, Yeah, Michael Cohen knew that Trump was uh

1105
01:01:40,840 --> 01:01:43,040
Speaker 1: knew about the meeting at Trump Tower before it happened.

1106
01:01:43,080 --> 01:01:47,320
Speaker 1: So Cohen, Trump's lawyer says, Trump knew about the Russia

1107
01:01:47,960 --> 01:01:51,320
Speaker 1: meeting at Trump Tower with vezzlant Sky before it happened.

1108
01:01:52,240 --> 01:01:54,320
Speaker 1: Would this, by the way, be criminal? No, I mean

1109
01:01:54,600 --> 01:01:56,360
Speaker 1: it just but it feeds into the oh my gosh

1110
01:01:56,400 --> 01:01:59,880
Speaker 1: collusion and Russia frenzy and all that stuff CMN side

1111
01:02:00,120 --> 01:02:05,000
Speaker 1: multiple sources. The problem with that is that Cohen had

1112
01:02:05,040 --> 01:02:08,120
Speaker 1: said to Congress under oath that he did not know

1113
01:02:08,560 --> 01:02:10,800
Speaker 1: that that Trump did not know in advance of the meeting.

1114
01:02:11,320 --> 01:02:13,840
Speaker 1: So now if that is in fact true, if seen

1115
01:02:13,960 --> 01:02:20,080
Speaker 1: in stories true, Cohen is in perjury jeopardy. So Lannie Davis,

1116
01:02:20,120 --> 01:02:23,720
Speaker 1: who is Cohen's lawyer, goes out and says, oh, we'll

1117
01:02:23,720 --> 01:02:28,560
Speaker 1: hold on a second. Um, you know this is not true,

1118
01:02:29,080 --> 01:02:32,520
Speaker 1: this is inaccurate. And then the Washington Post comes out

1119
01:02:32,960 --> 01:02:36,440
Speaker 1: and says, Okay, well, we ran that story too, and

1120
01:02:36,560 --> 01:02:39,920
Speaker 1: Lannie Davis was our was our source for it. So

1121
01:02:40,000 --> 01:02:43,280
Speaker 1: Lannie Davis was the source for the Washington Post version

1122
01:02:43,440 --> 01:02:46,480
Speaker 1: of the Trump knew about the rush about the Trump

1123
01:02:46,520 --> 01:02:51,600
Speaker 1: Tower meeting Donald Trump Senior new before it happened. The

1124
01:02:51,720 --> 01:02:54,760
Speaker 1: Post says, okay, Landy Davis was our source. If he

1125
01:02:54,880 --> 01:02:59,520
Speaker 1: saying that's not true, then it's not true. CNN, however,

1126
01:03:00,640 --> 01:03:05,160
Speaker 1: refuses to the Post retracted their story. CNN refuses to

1127
01:03:05,200 --> 01:03:10,680
Speaker 1: retract their story, claiming multiple sources, and they say that

1128
01:03:11,360 --> 01:03:14,160
Speaker 1: you know that their critics don't know the full extent

1129
01:03:14,360 --> 01:03:17,720
Speaker 1: of their sourcing, and so they won't change anything. They

1130
01:03:17,720 --> 01:03:21,320
Speaker 1: won't walk it back. And then on top of it,

1131
01:03:21,360 --> 01:03:22,680
Speaker 1: you look at this, you say, hold on a second,

1132
01:03:23,080 --> 01:03:26,120
Speaker 1: who's going to know more about this? Who's gonna know

1133
01:03:26,160 --> 01:03:29,440
Speaker 1: more about Michael Cohen's position on this than Michael Cohen's lawyer, Folks,

1134
01:03:29,640 --> 01:03:33,640
Speaker 1: who's gonna know more? To answer, is nobody's gonna know more? So?

1135
01:03:33,960 --> 01:03:37,880
Speaker 1: Is it is CNN story even believable? No, it's not believable.

1136
01:03:37,920 --> 01:03:41,440
Speaker 1: Now that that Cohen says that Trump or Cohen's going

1137
01:03:41,480 --> 01:03:43,760
Speaker 1: to testify to the Special Counsel that's what got people

1138
01:03:43,800 --> 01:03:46,640
Speaker 1: really excited that Trump knew about the Trump Tower meeting

1139
01:03:46,640 --> 01:03:48,600
Speaker 1: before it happened. Right, it's just not it's not credible

1140
01:03:49,160 --> 01:03:51,920
Speaker 1: as a story. But then on the sourcing issue, here's

1141
01:03:51,960 --> 01:03:55,680
Speaker 1: where CNN got itself into a lot of trouble. Uh,

1142
01:03:55,680 --> 01:03:57,160
Speaker 1: And this is why they won't back out of it.

1143
01:03:58,560 --> 01:04:02,760
Speaker 1: They didn't just say that they had multiple sources. They

1144
01:04:02,760 --> 01:04:06,720
Speaker 1: said multiple sources for the story and Lanny and and

1145
01:04:06,760 --> 01:04:09,640
Speaker 1: they asked Lanny Davis for a comment and he didn't

1146
01:04:09,680 --> 01:04:15,040
Speaker 1: have one. They were intentionally trying to throw people off

1147
01:04:15,640 --> 01:04:19,960
Speaker 1: the scent of their source, who clearly is Lanny Davis

1148
01:04:20,000 --> 01:04:22,200
Speaker 1: at least one of their sources, right, I mean, clearly

1149
01:04:22,240 --> 01:04:25,400
Speaker 1: it's Lanny Davis. Okay to anybody who's being serious about this.

1150
01:04:26,640 --> 01:04:30,240
Speaker 1: But they were dishonest because they wanted to make it

1151
01:04:30,280 --> 01:04:33,560
Speaker 1: seem like they were checking all the boxes so that

1152
01:04:33,640 --> 01:04:36,880
Speaker 1: they asked Cohen's lawyer, but they also wanted to cover

1153
01:04:37,000 --> 01:04:41,040
Speaker 1: for the fact that the source was the lawyer. This

1154
01:04:41,120 --> 01:04:43,520
Speaker 1: is you know, this is like patting a bibliography when

1155
01:04:43,520 --> 01:04:45,960
Speaker 1: you're writing a paper. You can't do this. It's unethical,

1156
01:04:46,360 --> 01:04:50,840
Speaker 1: it's wrong. CNN did it, and they're not gonna walk

1157
01:04:50,880 --> 01:04:53,480
Speaker 1: it back because they know that in the current media

1158
01:04:53,520 --> 01:04:56,480
Speaker 1: climate it would create an even bigger feeding frenzy for

1159
01:04:56,520 --> 01:04:59,600
Speaker 1: them to walk it back, I think. And the reason

1160
01:04:59,640 --> 01:05:02,640
Speaker 1: for that is this isn't this goes into this big

1161
01:05:02,680 --> 01:05:09,919
Speaker 1: bin of this was not a good faith error. All right,

1162
01:05:10,000 --> 01:05:11,440
Speaker 1: this is not a good favor. But we we have

1163
01:05:11,520 --> 01:05:14,640
Speaker 1: the initial Here play a play clip twelve. This is

1164
01:05:14,640 --> 01:05:17,240
Speaker 1: the initial reporting they did on our play. Sources with

1165
01:05:17,360 --> 01:05:21,000
Speaker 1: knowledge tell myself and Carl that Michael Cohen claims that

1166
01:05:21,120 --> 01:05:25,000
Speaker 1: then candidate Donald Trump knew in advance about the June

1167
01:05:25,120 --> 01:05:28,200
Speaker 1: meeting and Trump Tower, in which Russians were expected to

1168
01:05:28,200 --> 01:05:32,440
Speaker 1: offer his campaign dirt on Hillary Clinton. Crucially, these sources

1169
01:05:32,480 --> 01:05:34,920
Speaker 1: tell us that Cohen is willing to make that assertion

1170
01:05:35,000 --> 01:05:39,400
Speaker 1: to the Special Counsel Robert Mueller. It's very, very significant

1171
01:05:39,520 --> 01:05:43,880
Speaker 1: because the president has denied any fore knowledge of this event,

1172
01:05:43,960 --> 01:05:48,600
Speaker 1: and this meeting goes to the question of intent to collude.

1173
01:05:48,800 --> 01:05:50,960
Speaker 1: You've been saying for a year that we need to

1174
01:05:51,000 --> 01:05:54,640
Speaker 1: follow the money, follow the figure out this cover up.

1175
01:05:55,240 --> 01:05:57,439
Speaker 1: So how did you do it in this case? Talk

1176
01:05:57,520 --> 01:06:02,360
Speaker 1: us about how you got this reporting. Well, I talked

1177
01:06:02,360 --> 01:06:07,760
Speaker 1: to sources. Cohen was saying that Donald Trump the candidate

1178
01:06:07,800 --> 01:06:10,439
Speaker 1: for president of the United States at the time, had

1179
01:06:10,600 --> 01:06:13,880
Speaker 1: authorized the go ahead for that meeting to take place

1180
01:06:13,920 --> 01:06:20,960
Speaker 1: with his son. All wrong and and and if not

1181
01:06:21,080 --> 01:06:26,200
Speaker 1: outright lies about the sources, certainly dishonest, certainly trying to

1182
01:06:26,520 --> 01:06:29,600
Speaker 1: play fast and loose with the truth. And let me

1183
01:06:29,640 --> 01:06:32,160
Speaker 1: just say this, folks, You know this is you know, see,

1184
01:06:32,240 --> 01:06:35,080
Speaker 1: if CNN wants to be the opposition to Trump, that's fine.

1185
01:06:36,120 --> 01:06:39,040
Speaker 1: They have a First Amendment right to be the opposition

1186
01:06:39,040 --> 01:06:41,600
Speaker 1: to Trump. But we all have a First Amendment right

1187
01:06:41,640 --> 01:06:43,960
Speaker 1: as well to say that they're being dishonest about it,

1188
01:06:44,680 --> 01:06:48,080
Speaker 1: that they're lying, that they are often guilty of fake news.

1189
01:06:48,440 --> 01:06:50,560
Speaker 1: And this goes into the theory that I've told you

1190
01:06:50,600 --> 01:06:53,560
Speaker 1: for a long time, which is that when you have

1191
01:06:54,280 --> 01:06:58,680
Speaker 1: every wrong media story that has to be retracted or corrected,

1192
01:06:59,280 --> 01:07:03,440
Speaker 1: he's damnag jing to one person and one political one

1193
01:07:03,480 --> 01:07:07,000
Speaker 1: political party, and never do they have to attract your

1194
01:07:07,040 --> 01:07:10,160
Speaker 1: corrector story that is favorable. We understand that there's more

1195
01:07:10,200 --> 01:07:15,320
Speaker 1: at work here than just making errors. This is agenda driven.

1196
01:07:15,840 --> 01:07:18,520
Speaker 1: And I don't even think that they necessarily get that.

1197
01:07:18,440 --> 01:07:21,840
Speaker 1: They're not upset about the mistakes they've made if it's

1198
01:07:21,920 --> 01:07:24,560
Speaker 1: damaging enough in the short term to Trump and feeds

1199
01:07:24,640 --> 01:07:27,440
Speaker 1: enough of the anti Trump frenzy. I think they are.

1200
01:07:27,480 --> 01:07:32,000
Speaker 1: They're fine with running fake news and then doing triage afterwards.

1201
01:07:32,000 --> 01:07:35,120
Speaker 1: They'd rather run with the false story that's damaging day

1202
01:07:35,160 --> 01:07:37,600
Speaker 1: one and then day seven, because remember they don't correct

1203
01:07:37,640 --> 01:07:41,120
Speaker 1: it right away, they slow walk it day and then

1204
01:07:41,200 --> 01:07:44,760
Speaker 1: day seven they'll issue some and not retraction but a correction.

1205
01:07:45,320 --> 01:07:48,000
Speaker 1: Oh yeah, so the basic premise that whole story wasn't correct,

1206
01:07:48,080 --> 01:07:49,520
Speaker 1: but you know, we stand by the rest of it.

1207
01:07:50,280 --> 01:07:51,560
Speaker 1: This is how, this is how to play the game

1208
01:07:51,600 --> 01:07:53,280
Speaker 1: over there, and this is why all of the chin

1209
01:07:53,360 --> 01:07:57,680
Speaker 1: wagging and all the pompous b s from the the

1210
01:07:57,800 --> 01:08:01,960
Speaker 1: biggest names at CNN. People are just rejecting it, you know,

1211
01:08:02,040 --> 01:08:03,960
Speaker 1: and and anyone who's being honest with themselves. You know,

1212
01:08:03,920 --> 01:08:06,920
Speaker 1: if if you want that, if you want hashtag resistance,

1213
01:08:07,320 --> 01:08:10,320
Speaker 1: you should turn on MSNBC, because at least you know

1214
01:08:10,400 --> 01:08:12,640
Speaker 1: what you're getting with CNN. They are living in a

1215
01:08:12,720 --> 01:08:16,240
Speaker 1: fantasy land and that this story is still out there

1216
01:08:16,280 --> 01:08:17,720
Speaker 1: and they think that they can get away with this.

1217
01:08:17,840 --> 01:08:24,920
Speaker 1: Oh yeah, multiple sources stuff is preposterous, utterly and completely preposterous.

1218
01:08:24,960 --> 01:08:26,559
Speaker 1: But you know this, this is what you're dealing with them,

1219
01:08:26,720 --> 01:08:31,599
Speaker 1: you know, the most trusted name and news. Yeah right, alright, team,

1220
01:08:31,720 --> 01:08:33,599
Speaker 1: stay with me. We'll be back in just a moment.

1221
01:08:33,640 --> 01:08:38,880
Speaker 1: We are going to talk about the rapid onset gender dysphoria,

1222
01:08:39,160 --> 01:08:41,360
Speaker 1: which is I think you're gonna look, we're gonna go

1223
01:08:41,400 --> 01:08:44,080
Speaker 1: deep into that discussion. You'll know more about it for

1224
01:08:44,160 --> 01:08:46,160
Speaker 1: listening to this show than I bet pretty much any

1225
01:08:46,160 --> 01:08:48,120
Speaker 1: other show in the country right now, because I really

1226
01:08:48,120 --> 01:08:52,479
Speaker 1: have done some research into it. Very big, uh well

1227
01:08:53,160 --> 01:08:56,080
Speaker 1: scandal on campus about this, but it affects the whole

1228
01:08:56,080 --> 01:08:59,559
Speaker 1: discussion about transgenderism and transgender rights and tells you a

1229
01:08:59,560 --> 01:09:02,760
Speaker 1: lot about the tyrannical left and how it does what

1230
01:09:02,840 --> 01:09:04,920
Speaker 1: it does. We'll be right back with that more. I

1231
01:09:05,000 --> 01:09:08,320
Speaker 1: also proved that the polls still are are pretty useless

1232
01:09:08,320 --> 01:09:09,920
Speaker 1: when it comes to some of this stuff, because none

1233
01:09:09,960 --> 01:09:13,360
Speaker 1: of the polls had him winning. Um, which just makes

1234
01:09:13,360 --> 01:09:15,920
Speaker 1: you think, Okay, who knows what's actually gonna happen when

1235
01:09:15,920 --> 01:09:18,040
Speaker 1: you when you get to November. Yeah, sort of what

1236
01:09:18,080 --> 01:09:20,960
Speaker 1: we saw in to a lot of the posters scratching

1237
01:09:21,000 --> 01:09:22,920
Speaker 1: their heads trying to figure out the result after the fact.

1238
01:09:22,960 --> 01:09:26,400
Speaker 1: Andrew Gillham here the Tallahassee mayor on the Democratic side.

1239
01:09:26,640 --> 01:09:29,040
Speaker 1: I read this morning he didn't lead in a single

1240
01:09:29,160 --> 01:09:32,480
Speaker 1: poll in the run up to this, So that tells you,

1241
01:09:32,479 --> 01:09:35,080
Speaker 1: you know, we're we're sort of flying blind journalist, trying

1242
01:09:35,080 --> 01:09:37,360
Speaker 1: to see what's going to happen. Yeah, exactly, Florida. When

1243
01:09:37,360 --> 01:09:39,320
Speaker 1: people start talking about a blue wave, you want to

1244
01:09:39,360 --> 01:09:41,680
Speaker 1: point out to them, Florida is likely to be a

1245
01:09:41,800 --> 01:09:44,920
Speaker 1: desert island for the Democrats with no wave at all,

1246
01:09:45,280 --> 01:09:47,640
Speaker 1: given these kind of outcomes. And by the way, in Arizona,

1247
01:09:47,720 --> 01:09:52,200
Speaker 1: President Trump was very gracious and supportive of Congressman excally

1248
01:09:52,520 --> 01:09:55,360
Speaker 1: she was the first woman to fly in combat and

1249
01:09:55,560 --> 01:09:58,280
Speaker 1: has a remarkable record. Don't win the center race there,

1250
01:09:58,280 --> 01:10:01,439
Speaker 1: and again, the so called blue wave is gonna disappear

1251
01:10:01,439 --> 01:10:03,960
Speaker 1: in the sand. And I think you're gonna see if

1252
01:10:04,000 --> 01:10:07,000
Speaker 1: anything more of a red wave by the time we

1253
01:10:07,000 --> 01:10:11,679
Speaker 1: get to November than a blue wave. You know, folks,

1254
01:10:11,920 --> 01:10:16,439
Speaker 1: you got a bunch of a bunch of insights there

1255
01:10:17,720 --> 01:10:20,799
Speaker 1: from one was from us from what c NBC's Becky

1256
01:10:21,000 --> 01:10:23,600
Speaker 1: Quick talking about Florida. And then of course I'm in

1257
01:10:23,720 --> 01:10:29,040
Speaker 1: New New g Newt gingrich uh that for for the

1258
01:10:29,040 --> 01:10:32,880
Speaker 1: the polsters out there, they gotta get this one right,

1259
01:10:32,960 --> 01:10:34,720
Speaker 1: meaning they gotta get the mid terms right or else

1260
01:10:34,760 --> 01:10:37,160
Speaker 1: people are really gonna start asking some some some tough

1261
01:10:37,240 --> 01:10:39,559
Speaker 1: questions about what exactly is the utility of all this

1262
01:10:40,320 --> 01:10:44,639
Speaker 1: all this polling um right now, according to the average

1263
01:10:44,640 --> 01:10:48,040
Speaker 1: on real clear politics, the battle for the House of Representatives,

1264
01:10:48,680 --> 01:10:54,720
Speaker 1: you got a hundred Democrat versus uh GOP with forty

1265
01:10:55,040 --> 01:10:58,160
Speaker 1: three toss ups. That's what they've got listed here. And

1266
01:10:58,160 --> 01:11:01,040
Speaker 1: then for the in the Senate battle GOP forty forty

1267
01:11:01,080 --> 01:11:05,080
Speaker 1: five with seven toss ups. So so here's here's what

1268
01:11:05,080 --> 01:11:06,599
Speaker 1: I just want to say. One is that is that

1269
01:11:06,640 --> 01:11:08,320
Speaker 1: you gotta take polls with a grain of salt, and

1270
01:11:08,360 --> 01:11:10,960
Speaker 1: that doesn't make you a flat earther. And a lot

1271
01:11:11,040 --> 01:11:13,200
Speaker 1: of people out there are still you know, the polsters.

1272
01:11:14,160 --> 01:11:16,240
Speaker 1: We saw what happen in twenty sixteen. I will never

1273
01:11:16,280 --> 01:11:19,080
Speaker 1: forget the New York Times saying that Hillary Clinton had

1274
01:11:19,080 --> 01:11:21,080
Speaker 1: a ninety seven percent chance of winning the election. On

1275
01:11:21,120 --> 01:11:23,559
Speaker 1: election at ninety seven percent chance. Folks, if I told

1276
01:11:23,560 --> 01:11:26,679
Speaker 1: you you had a ninety seven percent chance of waking

1277
01:11:26,720 --> 01:11:28,960
Speaker 1: up tomorrow and feeling fine and a three percent chance

1278
01:11:29,040 --> 01:11:31,640
Speaker 1: of dying in your sleep and not waking up, I

1279
01:11:31,680 --> 01:11:33,400
Speaker 1: think most of you would sleep Okay, you know, I

1280
01:11:33,479 --> 01:11:35,200
Speaker 1: don't I don't think. I mean, I think that you'd

1281
01:11:35,200 --> 01:11:38,000
Speaker 1: be like, well, that's not amazing to hear. But if

1282
01:11:38,000 --> 01:11:40,479
Speaker 1: I told you your fifty fifty probably wouldn't sleep awin, right,

1283
01:11:40,479 --> 01:11:44,000
Speaker 1: But ninety seven percent chance of waking up tomorrow, you're

1284
01:11:44,000 --> 01:11:46,080
Speaker 1: gonna You're gonna take those odds. You'll be Okay. They

1285
01:11:46,120 --> 01:11:48,640
Speaker 1: thought ninety seven that Hillary was gonna win, as we know,

1286
01:11:48,720 --> 01:11:51,280
Speaker 1: and then the the odds changed overnight. It's the most

1287
01:11:51,280 --> 01:11:54,000
Speaker 1: amazing thing. Sometimes, just for fun, whenever I'm having a

1288
01:11:54,000 --> 01:11:56,640
Speaker 1: bad day, I'm gonna have producer Mike put on that,

1289
01:11:56,160 --> 01:11:58,960
Speaker 1: uh that montage again from election night where there's like,

1290
01:11:58,960 --> 01:12:01,960
Speaker 1: oh my gosh, up his winning. This is so fun,

1291
01:12:02,560 --> 01:12:06,640
Speaker 1: so fantastic. Ah. But that that what you saw here

1292
01:12:06,640 --> 01:12:10,599
Speaker 1: in Florida. And I do find this interesting, uh is

1293
01:12:10,880 --> 01:12:14,240
Speaker 1: because everyone looks at Florida's all all races in Florida

1294
01:12:14,240 --> 01:12:16,479
Speaker 1: are very tight. That's kind of the basics of it.

1295
01:12:16,560 --> 01:12:19,160
Speaker 1: You have the Democrats can win, Republicans can win. It

1296
01:12:19,160 --> 01:12:21,120
Speaker 1: really depends on the candidate at the time and the

1297
01:12:21,160 --> 01:12:24,519
Speaker 1: issues that are at hand. Um, but you know, I

1298
01:12:24,520 --> 01:12:27,479
Speaker 1: think you're gonna have Rick Scott beat incumbent Senator Nelson.

1299
01:12:27,640 --> 01:12:29,639
Speaker 1: That's my prediction on that when I think Rick Scott's

1300
01:12:29,640 --> 01:12:33,560
Speaker 1: gonna take it, and I also think that Rhonda Santists

1301
01:12:34,240 --> 01:12:40,600
Speaker 1: is going to gonna win the um the governorship, you know,

1302
01:12:40,800 --> 01:12:43,680
Speaker 1: I I do think that that it's likely that the

1303
01:12:43,760 --> 01:12:45,920
Speaker 1: Santist is gonna come out come out on top there.

1304
01:12:46,640 --> 01:12:49,280
Speaker 1: And you know, this is this is where we start

1305
01:12:49,320 --> 01:12:51,439
Speaker 1: to get what happens if the Democrats, What happens that

1306
01:12:51,479 --> 01:12:53,200
Speaker 1: the Democrats don't win. I mean, I know E've ben

1307
01:12:53,240 --> 01:12:56,240
Speaker 1: discussing this all along, but I don't know if they

1308
01:12:56,240 --> 01:12:58,720
Speaker 1: could handle you know, that they might actually make good

1309
01:12:58,720 --> 01:13:02,280
Speaker 1: on their whole like I'm gonna move to Canada. They

1310
01:13:02,520 --> 01:13:04,000
Speaker 1: some of them might flee. I don't know if they

1311
01:13:04,000 --> 01:13:06,519
Speaker 1: can handle two more years of Republicans in control. Even

1312
01:13:06,560 --> 01:13:09,360
Speaker 1: though I think not only are things good in this country,

1313
01:13:09,360 --> 01:13:12,599
Speaker 1: it's not like their life is so you know, their

1314
01:13:12,640 --> 01:13:15,680
Speaker 1: life is in such disarray because of Trump. I mean,

1315
01:13:15,720 --> 01:13:18,000
Speaker 1: that's all just that's all just their their perception. By

1316
01:13:18,000 --> 01:13:20,439
Speaker 1: the way, I just gotta tell you all tomorrow we're

1317
01:13:20,439 --> 01:13:23,920
Speaker 1: gonna have a an interview on Hill TV. I believe

1318
01:13:23,920 --> 01:13:25,960
Speaker 1: we're gonna air it tomorrow that I did with a

1319
01:13:26,080 --> 01:13:30,160
Speaker 1: Lissa Milano. That's right, that a Lissa Milano U of

1320
01:13:30,400 --> 01:13:35,600
Speaker 1: Twitter and Project Runaway fame. H. She is an activist

1321
01:13:35,600 --> 01:13:38,599
Speaker 1: now mostly not even really an actor anymore. And I'll

1322
01:13:38,640 --> 01:13:40,720
Speaker 1: just tell you this. It was interesting to go to

1323
01:13:40,760 --> 01:13:43,840
Speaker 1: her mansion in her gated community, uh, and have to

1324
01:13:43,880 --> 01:13:46,600
Speaker 1: get through armed security at the gate and be on

1325
01:13:46,640 --> 01:13:48,640
Speaker 1: a list just to even get on the roadway to

1326
01:13:48,720 --> 01:13:50,760
Speaker 1: get within miles of her house. And then of course

1327
01:13:50,800 --> 01:13:52,720
Speaker 1: the gate at her house and the security that came

1328
01:13:52,800 --> 01:13:54,479
Speaker 1: up and met me there, at least the personnel who

1329
01:13:54,479 --> 01:13:57,240
Speaker 1: met me there. Um. And and of course she's very

1330
01:13:57,280 --> 01:14:00,240
Speaker 1: pro gun control. And I gotta say you shoul watched

1331
01:14:00,280 --> 01:14:03,200
Speaker 1: the interview because I thought I was too polite, which

1332
01:14:03,200 --> 01:14:04,840
Speaker 1: is a problem, which is a knock that some people

1333
01:14:04,840 --> 01:14:07,240
Speaker 1: have on me that I am. I am too polite

1334
01:14:07,240 --> 01:14:09,240
Speaker 1: to people. It's just, you know, my parents raised me right,

1335
01:14:09,280 --> 01:14:11,360
Speaker 1: but in media you kind of sometimes you gotta be

1336
01:14:11,360 --> 01:14:13,120
Speaker 1: a little bit of a jerk. And I gotta work

1337
01:14:13,120 --> 01:14:14,880
Speaker 1: on that a little bit. That's that's a note for me.

1338
01:14:15,840 --> 01:14:18,880
Speaker 1: She thought I was mean. She thought I was mean.

1339
01:14:19,000 --> 01:14:21,240
Speaker 1: She was complaining afterwards that I was mean to her,

1340
01:14:21,760 --> 01:14:25,000
Speaker 1: and I'm like, God, mean, do you that was the

1341
01:14:25,000 --> 01:14:28,679
Speaker 1: biggest cream puff interview. I'm like ashamed of how friendly

1342
01:14:28,760 --> 01:14:30,559
Speaker 1: and and and kind I was. I mean, I asked

1343
01:14:30,560 --> 01:14:32,600
Speaker 1: her some questions that she had trouble with obviously, but

1344
01:14:33,040 --> 01:14:36,640
Speaker 1: you know, I was very nice. But for all her

1345
01:14:36,680 --> 01:14:39,040
Speaker 1: millions of Twitter followers, she she doesn't like it with

1346
01:14:39,120 --> 01:14:41,000
Speaker 1: somebody asked you a real question, So get ready for

1347
01:14:41,000 --> 01:14:44,240
Speaker 1: that tomorrow on Hill TV. You know, I was out

1348
01:14:44,280 --> 01:14:46,120
Speaker 1: on the Left Coast for a few days and they

1349
01:14:46,200 --> 01:14:48,280
Speaker 1: got a lot of coffee shops out there, but you

1350
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Speaker 1: know what they didn't have, My friends coffee. That's all

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Speaker 1: to the veterans community and to America. You will love

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Speaker 1: these guys. I know them personally. The folks and Black

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Speaker 1: dot com slash buck. What is rapid on set Gender

1387
01:16:49,439 --> 01:16:54,120
Speaker 1: Dysphoria Team If you don't know, that makes perfect a

1388
01:16:54,160 --> 01:16:57,639
Speaker 1: new concept? Uh. And this is gonna take us right

1389
01:16:57,760 --> 01:17:01,519
Speaker 1: into the heart of the war over what is now

1390
01:17:01,840 --> 01:17:08,080
Speaker 1: considered the culture war over transgender rights. Transgender rights are

1391
01:17:08,120 --> 01:17:10,320
Speaker 1: now civil rights. This is what they are telling us.

1392
01:17:10,360 --> 01:17:14,200
Speaker 1: This is what the left is is pushing culturally in

1393
01:17:14,240 --> 01:17:17,720
Speaker 1: every way it can with TV shows and social media campaigns,

1394
01:17:18,280 --> 01:17:21,760
Speaker 1: and increasingly we are being forced to use pronouns that

1395
01:17:21,800 --> 01:17:23,960
Speaker 1: do not correspond to sex. And as I've told you,

1396
01:17:24,600 --> 01:17:27,800
Speaker 1: that's wrong. I disagree with it. He is not a

1397
01:17:27,880 --> 01:17:29,800
Speaker 1: she and she is not a he. And being told

1398
01:17:29,800 --> 01:17:32,240
Speaker 1: that I have to be a party to somebody else's

1399
01:17:32,439 --> 01:17:37,920
Speaker 1: incorrect self identification or or even delusion is problematic in

1400
01:17:37,960 --> 01:17:40,200
Speaker 1: many ways. But I'm also not going to be a martyr.

1401
01:17:40,600 --> 01:17:43,320
Speaker 1: I'm not gonna put myself in a position where I

1402
01:17:43,400 --> 01:17:47,200
Speaker 1: could be sued or or even have have professional action

1403
01:17:47,240 --> 01:17:50,840
Speaker 1: taken against me. So and uh as at a certain level,

1404
01:17:50,880 --> 01:17:52,639
Speaker 1: you will concede to the mob, and we're getting very

1405
01:17:52,640 --> 01:17:55,320
Speaker 1: close to that on this transgender issue. But this is

1406
01:17:55,360 --> 01:17:59,280
Speaker 1: a big, a big story that's getting very little play

1407
01:17:59,320 --> 01:18:01,439
Speaker 1: because of what it really entails and has to do with,

1408
01:18:01,560 --> 01:18:05,559
Speaker 1: not just the illiberalism of the left, which is now

1409
01:18:05,640 --> 01:18:08,879
Speaker 1: beyond any real debate. I mean, it's it's a reality,

1410
01:18:08,920 --> 01:18:12,919
Speaker 1: it's a thing. But but also and particularly on college campuses,

1411
01:18:12,960 --> 01:18:15,000
Speaker 1: and Brown University, which we're about to talk about, is

1412
01:18:15,000 --> 01:18:17,720
Speaker 1: among the worst. And I have a particular disdain for

1413
01:18:17,760 --> 01:18:22,519
Speaker 1: Brown has a long history of being Brown was a

1414
01:18:22,560 --> 01:18:26,600
Speaker 1: social justice warrior factory before that was cool. You know,

1415
01:18:26,760 --> 01:18:31,000
Speaker 1: Brown was the has been the most left wing prominent university.

1416
01:18:31,000 --> 01:18:33,960
Speaker 1: People say it's elite because it's Ivy League. I gotta

1417
01:18:34,000 --> 01:18:36,720
Speaker 1: tell you, I've I've never been particularly impressed with the

1418
01:18:36,720 --> 01:18:38,599
Speaker 1: product as in the students that come out of Brown.

1419
01:18:38,880 --> 01:18:40,720
Speaker 1: I know there's exceptions, you know, and I'm sure you

1420
01:18:40,840 --> 01:18:42,760
Speaker 1: gotta you know somebody who's a friend of yours, who's

1421
01:18:42,800 --> 01:18:45,479
Speaker 1: a you know, Rhodes scholar, Navy seal who went to Brown.

1422
01:18:45,560 --> 01:18:48,040
Speaker 1: I'm not saying everybody, but in general, I find Brown

1423
01:18:48,439 --> 01:18:50,240
Speaker 1: produces a lot of people who think they're much more

1424
01:18:50,240 --> 01:18:53,639
Speaker 1: impressive than they are. That's been my personal anecdotal experience.

1425
01:18:54,479 --> 01:18:58,920
Speaker 1: But the transgender fight, or the fight for transgender rights

1426
01:18:58,920 --> 01:19:04,400
Speaker 1: it's being discussed, received quite a uh an unwelcome bit

1427
01:19:04,439 --> 01:19:09,120
Speaker 1: of science recently, and it comes courtesy of a a

1428
01:19:09,120 --> 01:19:12,840
Speaker 1: a peer reviewed article that came out at at Brown

1429
01:19:12,960 --> 01:19:16,759
Speaker 1: University that had to do with this notion of rapid

1430
01:19:17,360 --> 01:19:21,720
Speaker 1: onset gender dysphoria. Now, folks, I get really deep into

1431
01:19:21,720 --> 01:19:23,320
Speaker 1: the weeds here on this left wing stuff so that

1432
01:19:23,360 --> 01:19:25,479
Speaker 1: I can explain to you. But you know this is

1433
01:19:25,960 --> 01:19:28,040
Speaker 1: this is where it all happens. And the people that

1434
01:19:28,080 --> 01:19:31,400
Speaker 1: are making these decisions at a Brown University about a

1435
01:19:31,439 --> 01:19:34,160
Speaker 1: scientific paper, it is a scientific paper we're about to discuss.

1436
01:19:34,920 --> 01:19:36,880
Speaker 1: They're the same ones who want to tell you that

1437
01:19:36,920 --> 01:19:38,439
Speaker 1: you know, your ten year old should be showering with

1438
01:19:38,479 --> 01:19:40,320
Speaker 1: the ten year old of the opposite sex right next

1439
01:19:40,320 --> 01:19:42,360
Speaker 1: to him or her, and you know this is that.

1440
01:19:42,479 --> 01:19:45,800
Speaker 1: So so it's important. This matters. It matters because the

1441
01:19:45,800 --> 01:19:49,479
Speaker 1: truth matters. That also matters because national level policy is

1442
01:19:49,520 --> 01:19:53,120
Speaker 1: affected by this thinking. Do not forget any of you

1443
01:19:53,160 --> 01:19:57,760
Speaker 1: who have children. Remember that the Obama administration was threatening

1444
01:19:57,800 --> 01:20:03,160
Speaker 1: to pull federal funding from grammar schools, from primary schools

1445
01:20:03,920 --> 01:20:08,120
Speaker 1: across the country, but particularly in South Carolina because of

1446
01:20:08,160 --> 01:20:10,559
Speaker 1: the battle going on there over this unless they adhere

1447
01:20:10,600 --> 01:20:16,360
Speaker 1: to the new Department Education transgender bathroom policy. So this

1448
01:20:16,400 --> 01:20:18,280
Speaker 1: affects you. You know, you can't just say, oh, well,

1449
01:20:18,280 --> 01:20:19,600
Speaker 1: this isn't my problem. Now this is gonna be a

1450
01:20:19,600 --> 01:20:21,320
Speaker 1: problem for everybody, or this is gonna be something you are.

1451
01:20:21,479 --> 01:20:23,720
Speaker 1: You're gonna be forced to submit. That's what they're gonna say.

1452
01:20:23,720 --> 01:20:27,840
Speaker 1: You're gonna be forced to submit to their lunacy. Here, now,

1453
01:20:27,920 --> 01:20:31,200
Speaker 1: let me give you the what happened. I mentioned Brown.

1454
01:20:31,640 --> 01:20:37,439
Speaker 1: Brown University had a um published right through its through

1455
01:20:37,479 --> 01:20:41,080
Speaker 1: one of its uh through one of its graduate programs

1456
01:20:41,720 --> 01:20:45,000
Speaker 1: a student. They're published in the journal plus one a

1457
01:20:45,120 --> 01:20:47,439
Speaker 1: case study on on and not a case that you're

1458
01:20:47,520 --> 01:20:53,960
Speaker 1: a a scientific journal on rapid onset gender dysphoria. And

1459
01:20:54,000 --> 01:20:57,280
Speaker 1: this is from the Brown University School of Public Health. Okay,

1460
01:20:57,320 --> 01:21:00,479
Speaker 1: so they just published this, and here's gender to sphoria.

1461
01:21:00,560 --> 01:21:04,439
Speaker 1: So we understand the definitions. Gender dysphoria is when somebody

1462
01:21:04,720 --> 01:21:08,960
Speaker 1: has feelings that their biological sex does not match up

1463
01:21:08,960 --> 01:21:11,959
Speaker 1: with the identity of what they think their sex should be. Essentially,

1464
01:21:12,280 --> 01:21:15,920
Speaker 1: I am physically female and think I'm actually a male.

1465
01:21:17,200 --> 01:21:20,640
Speaker 1: Now this and then this leads. Uh. People used to

1466
01:21:20,640 --> 01:21:23,560
Speaker 1: call a gender identity disorder. Now it's called gender dysphoria.

1467
01:21:23,600 --> 01:21:25,760
Speaker 1: They've changed that. Don't forget that, folks. They change the

1468
01:21:25,840 --> 01:21:29,240
Speaker 1: terminology as a way of skewing the debate and to

1469
01:21:29,280 --> 01:21:32,680
Speaker 1: make this a it's not a disorder, right, remember that,

1470
01:21:32,960 --> 01:21:35,040
Speaker 1: the same way that it's you know, it's not chained migration,

1471
01:21:35,040 --> 01:21:40,479
Speaker 1: it's family reunification on the immigration issue. And with transgender surgery,

1472
01:21:40,520 --> 01:21:45,040
Speaker 1: it's not it's not a sex change operation. It's a

1473
01:21:45,280 --> 01:21:50,559
Speaker 1: gender affirmation process. Ah. Isn't that interesting how they've changed

1474
01:21:50,560 --> 01:21:53,439
Speaker 1: the emphasis. They have changed the way that we should

1475
01:21:53,479 --> 01:21:58,719
Speaker 1: think about it merely by changing the language itself. So

1476
01:21:58,920 --> 01:22:03,920
Speaker 1: on gender dysphoria formally gender identity disorder. But we've gotten

1477
01:22:04,000 --> 01:22:06,720
Speaker 1: rid of that now and gender dysphoria, okay, fine, we'll

1478
01:22:06,840 --> 01:22:10,679
Speaker 1: use that term. It's sooner it'll be you know, gender affirmation. Uh,

1479
01:22:10,720 --> 01:22:14,320
Speaker 1: you know, gender affirmation conception or something off, some other

1480
01:22:14,920 --> 01:22:18,759
Speaker 1: way of describing it. Uh, but wrap it on set.

1481
01:22:19,200 --> 01:22:21,400
Speaker 1: That's what this study looked at and wrap it onset

1482
01:22:21,439 --> 01:22:26,240
Speaker 1: gender dysphoria is based on this paper and the significant

1483
01:22:26,280 --> 01:22:28,840
Speaker 1: research that it draws upon, you know, hundreds and hundreds

1484
01:22:28,840 --> 01:22:33,600
Speaker 1: and hundreds of case studies. Um. It says that essentially,

1485
01:22:35,280 --> 01:22:42,639
Speaker 1: gender dysphoria maybe a socially pressured and learned condition. Oh

1486
01:22:42,760 --> 01:22:47,040
Speaker 1: my gosh. People don't want to hear this. What do

1487
01:22:47,120 --> 01:22:50,120
Speaker 1: you mean? This is going to bring them back to

1488
01:22:50,120 --> 01:22:51,800
Speaker 1: the days of oh, well, you know, are you are

1489
01:22:51,840 --> 01:22:55,640
Speaker 1: you born same sex attracted? Are you born gear? Or

1490
01:22:55,640 --> 01:22:57,880
Speaker 1: do you become big? Remember that was a big debate

1491
01:22:57,880 --> 01:22:59,639
Speaker 1: for a long time, and now that that's gone away

1492
01:22:59,640 --> 01:23:02,000
Speaker 1: at everyone now well I shouldn't say everybody, but the

1493
01:23:02,040 --> 01:23:04,680
Speaker 1: predominant view is that you know, you are born with

1494
01:23:04,800 --> 01:23:08,320
Speaker 1: a certain sexual preference. Uh. But think about this. With

1495
01:23:08,400 --> 01:23:11,880
Speaker 1: gender dysphoria, people are are being led to believe that

1496
01:23:12,000 --> 01:23:16,080
Speaker 1: this is an innate Uh, it's affirmation now right, it's

1497
01:23:16,080 --> 01:23:19,200
Speaker 1: you actually becoming who you are, and that your brain

1498
01:23:20,160 --> 01:23:23,320
Speaker 1: is the disconnect between the brain and the body. Here

1499
01:23:23,360 --> 01:23:27,320
Speaker 1: on gender, the brain wins, right, The brain knows what

1500
01:23:27,400 --> 01:23:29,280
Speaker 1: you really are the fact that you have male or

1501
01:23:29,320 --> 01:23:34,280
Speaker 1: female genitalia is irrelevant. That's what you're being led to

1502
01:23:34,280 --> 01:23:37,280
Speaker 1: believe with gender dysphoria. Well, what happens when they look

1503
01:23:37,280 --> 01:23:41,280
Speaker 1: at this study is that, and this is of of

1504
01:23:41,400 --> 01:23:45,400
Speaker 1: teenagers with gender dysphoria. Here's something that won't shock any

1505
01:23:45,400 --> 01:23:48,759
Speaker 1: of you who just think about things and don't accept everything.

1506
01:23:48,760 --> 01:23:51,400
Speaker 1: That the that the mainstream media and the liberal left

1507
01:23:51,439 --> 01:23:58,440
Speaker 1: force feeds us kids teenagers who are same sex attractive,

1508
01:23:59,320 --> 01:24:05,120
Speaker 1: who have other people in their lives, who become gender dysphoric,

1509
01:24:05,160 --> 01:24:06,920
Speaker 1: meaning they believe that they are now you know that

1510
01:24:06,960 --> 01:24:11,280
Speaker 1: they are now part of the transgender community. Those kids

1511
01:24:11,400 --> 01:24:17,080
Speaker 1: are more likely to themselves become members of or or

1512
01:24:17,160 --> 01:24:21,360
Speaker 1: want to be members of the transgender community. There is

1513
01:24:21,439 --> 01:24:25,920
Speaker 1: a copycat effect at work here, and that there is

1514
01:24:25,960 --> 01:24:29,360
Speaker 1: a social pressure effect at work here, meaning that when

1515
01:24:29,400 --> 01:24:35,800
Speaker 1: you are subjected to social media that prominently supports the

1516
01:24:35,800 --> 01:24:39,000
Speaker 1: notion of genderis for you, guess what more teenagers start

1517
01:24:39,040 --> 01:24:41,600
Speaker 1: to say, Yeah, I'm gender dysphoric too. Now. Look, I

1518
01:24:41,600 --> 01:24:43,280
Speaker 1: know there's people would say, oh buck, maybe it's just

1519
01:24:43,360 --> 01:24:46,040
Speaker 1: awareness or they there's a lot of ways to break

1520
01:24:46,080 --> 01:24:50,519
Speaker 1: this down. Here's what the study actually says. Quote. Among

1521
01:24:50,560 --> 01:24:53,360
Speaker 1: the noteworthy patterns Litman the research are found in the

1522
01:24:53,360 --> 01:24:57,880
Speaker 1: survey data of parents reported their child had one or

1523
01:24:57,920 --> 01:25:02,400
Speaker 1: more friends become transgender ident deified at around the same time,

1524
01:25:04,120 --> 01:25:07,080
Speaker 1: reported an increase in their child social media use around

1525
01:25:07,080 --> 01:25:13,599
Speaker 1: the same time as experiencing gender dysphoria symptoms, and reported both.

1526
01:25:15,120 --> 01:25:19,639
Speaker 1: So I mean almost half of the people who are

1527
01:25:19,720 --> 01:25:23,040
Speaker 1: are teenagers that are claiming to have adopted gender dysphoria

1528
01:25:23,120 --> 01:25:26,879
Speaker 1: here or that they have gender dysphoria a condition, developed

1529
01:25:26,920 --> 01:25:30,880
Speaker 1: the condition when somebody else they know has it, and

1530
01:25:30,920 --> 01:25:33,559
Speaker 1: developed the condition when they have a much greater usage

1531
01:25:33,560 --> 01:25:37,160
Speaker 1: of social media where transgender and transgender rights are a

1532
01:25:37,360 --> 01:25:41,800
Speaker 1: prominent topic of discussion. And it goes on quote the

1533
01:25:41,840 --> 01:25:46,080
Speaker 1: pattern of clusters of teens and friend groups becoming transgender

1534
01:25:46,120 --> 01:25:50,559
Speaker 1: identified that the group dynamics, dynamics of these friend groups

1535
01:25:50,600 --> 01:25:54,360
Speaker 1: and the types of advice viewed online led to the

1536
01:25:54,439 --> 01:25:59,120
Speaker 1: hypothesis that friends and online sources could spread certain beliefs.

1537
01:25:59,680 --> 01:26:03,680
Speaker 1: Exact amples include the belief that non specific symptoms such

1538
01:26:03,720 --> 01:26:06,120
Speaker 1: as feeling uncomfortable in their own skins or feeling that

1539
01:26:06,120 --> 01:26:08,559
Speaker 1: they don't fit in, which could be part of a

1540
01:26:08,600 --> 01:26:11,960
Speaker 1: normal puberty or associated with trauma, should be perceived as

1541
01:26:12,040 --> 01:26:18,519
Speaker 1: gender dysphoria. Folks if you can't hear it already. There

1542
01:26:18,520 --> 01:26:23,160
Speaker 1: are lib heads exploding all over the place on this one.

1543
01:26:24,560 --> 01:26:30,000
Speaker 1: Gender dysphoria transgenderism could be a trait that is, or

1544
01:26:30,080 --> 01:26:35,600
Speaker 1: rather a condition that is socially imposed or socially advocated

1545
01:26:35,680 --> 01:26:41,880
Speaker 1: for is essentially learned via environment. Through social osmosis of sorts,

1546
01:26:41,920 --> 01:26:46,640
Speaker 1: one becomes gender dysphoric. We're not. That's not supposed to

1547
01:26:46,640 --> 01:26:48,760
Speaker 1: be what happens here. It's supposed to be who you

1548
01:26:48,840 --> 01:26:51,720
Speaker 1: really are at your core. Right, this is this is

1549
01:26:51,720 --> 01:26:54,160
Speaker 1: a medical condition. It should be respected. It's a civil

1550
01:26:54,240 --> 01:26:58,400
Speaker 1: rights issue. That's what we've been told. This study is

1551
01:26:58,439 --> 01:27:01,479
Speaker 1: implying that there's a great degree of peer pressure involved

1552
01:27:01,479 --> 01:27:07,719
Speaker 1: in this or pere imitation. She continues on the belief

1553
01:27:07,760 --> 01:27:10,160
Speaker 1: that the only path to happiness is transition and the

1554
01:27:10,160 --> 01:27:12,880
Speaker 1: belief that anyone who disagrees with the team is transphobic

1555
01:27:12,920 --> 01:27:15,920
Speaker 1: and should be cut out of their life. That's all

1556
01:27:16,000 --> 01:27:19,920
Speaker 1: part of it. Additionally, six parents reported their teen or

1557
01:27:19,960 --> 01:27:22,840
Speaker 1: young adult had one or more diagnoses of a psychiatric

1558
01:27:22,920 --> 01:27:28,280
Speaker 1: disorder or neurodevelopmental disability before the onset of gender dysphoria.

1559
01:27:28,640 --> 01:27:31,959
Speaker 1: Forty percent reported that their child had experienced a traumatic

1560
01:27:32,080 --> 01:27:36,040
Speaker 1: or stressful event prior to the onset of their gender dysphoria,

1561
01:27:36,240 --> 01:27:40,160
Speaker 1: including being bullied, sexually assaulted, or having their parents get divorced.

1562
01:27:40,920 --> 01:27:43,880
Speaker 1: This suggests that the drive a transition expressed by these

1563
01:27:43,920 --> 01:27:48,080
Speaker 1: teens and young adults could be a harmful coping mechanism

1564
01:27:48,200 --> 01:27:53,280
Speaker 1: like drugs, alcohol, or cutting. With harmful coping coping mechanisms,

1565
01:27:53,320 --> 01:27:55,720
Speaker 1: certain behaviors are used to avoid feeling negative emotions in

1566
01:27:55,720 --> 01:27:58,320
Speaker 1: the short term, but they do not solve the underlying problems,

1567
01:27:58,360 --> 01:28:02,599
Speaker 1: and they often cause additional problems. And quote my friends, Wow,

1568
01:28:04,040 --> 01:28:07,719
Speaker 1: this is a study based on real research, peer reviewed

1569
01:28:07,720 --> 01:28:12,920
Speaker 1: published in a journal that is challenging the whole notion

1570
01:28:12,960 --> 01:28:17,320
Speaker 1: of what makes somebody transgender. It's essentially saying that transgenderism

1571
01:28:17,560 --> 01:28:22,040
Speaker 1: is rooted in trauma and in many cases a psychiatric disorder,

1572
01:28:23,400 --> 01:28:25,240
Speaker 1: and those two things can also go hand in hand,

1573
01:28:25,720 --> 01:28:28,839
Speaker 1: and that it is increasingly the result of social pressure

1574
01:28:28,840 --> 01:28:33,880
Speaker 1: and imitation of peers, could be a coping mechanism and

1575
01:28:34,240 --> 01:28:38,879
Speaker 1: is not in fact a a a civil rights issue,

1576
01:28:39,600 --> 01:28:47,080
Speaker 1: but is a psychiatric and social issue. Wow. This is

1577
01:28:47,479 --> 01:28:53,160
Speaker 1: this is radioactive stuff on the left. They've been waging

1578
01:28:53,160 --> 01:28:55,360
Speaker 1: this campaign for a while for us to believe that

1579
01:28:55,360 --> 01:28:58,599
Speaker 1: that effectively, if you have any questions about transgenderism, if

1580
01:28:58,600 --> 01:29:01,799
Speaker 1: you wonder that maybe a teenagers shouldn't take massive doses

1581
01:29:01,840 --> 01:29:04,680
Speaker 1: of hormones irreparably damage his or her body for the

1582
01:29:04,680 --> 01:29:06,920
Speaker 1: future in ways that we can't even fathom right now.

1583
01:29:07,080 --> 01:29:10,200
Speaker 1: If you have any questions about that, you're basically morally

1584
01:29:10,240 --> 01:29:15,559
Speaker 1: the equivalent of a racist. You're a bigot. You're backwards thinking.

1585
01:29:16,080 --> 01:29:21,879
Speaker 1: Don't you see how important transgenderism is to civil rights movement? Well,

1586
01:29:22,400 --> 01:29:27,920
Speaker 1: here's a study that suggests that transgenderism is something very

1587
01:29:27,960 --> 01:29:31,160
Speaker 1: different from the affirmation of one's core and inner self.

1588
01:29:32,479 --> 01:29:40,080
Speaker 1: It could be rooted in social pressure, in psychiatric problems,

1589
01:29:41,120 --> 01:29:44,920
Speaker 1: or in trauma. We'll continue this in just a moment.

1590
01:29:45,520 --> 01:29:48,160
Speaker 1: The FBI calls home title theft one of the fastest

1591
01:29:48,200 --> 01:29:51,320
Speaker 1: growing crimes. Brace yourselves, folks, because having your credit card

1592
01:29:51,360 --> 01:29:53,680
Speaker 1: stolen is nothing compared to the hell you're in for

1593
01:29:53,880 --> 01:29:56,240
Speaker 1: once an identity thief takes control of your home's title

1594
01:29:56,479 --> 01:29:59,160
Speaker 1: and folks, I was out in Los Angeles and and

1595
01:29:59,200 --> 01:30:02,040
Speaker 1: I actually had a a an uber driver who's telling

1596
01:30:02,040 --> 01:30:06,840
Speaker 1: me about her situation of home title theft. It was

1597
01:30:07,040 --> 01:30:09,559
Speaker 1: it was scary stuff and it cost her She said

1598
01:30:09,960 --> 01:30:12,799
Speaker 1: thousands and thousands of dollars to try to get it fixed.

1599
01:30:12,960 --> 01:30:15,000
Speaker 1: It was a nightmare. You don't want to go through it.

1600
01:30:15,000 --> 01:30:17,080
Speaker 1: It can happen to you. All they need, all the

1601
01:30:17,120 --> 01:30:19,959
Speaker 1: bad guys need is internet access. They'll take your information,

1602
01:30:20,080 --> 01:30:23,080
Speaker 1: replace your home's title with an alias of their own,

1603
01:30:23,080 --> 01:30:25,040
Speaker 1: and borrow every penny against it. You don't want to

1604
01:30:25,040 --> 01:30:27,360
Speaker 1: deal with it, folks. For just pennies a day, home

1605
01:30:27,400 --> 01:30:30,960
Speaker 1: title Lock protects my most viable asset, my family's home.

1606
01:30:31,240 --> 01:30:33,679
Speaker 1: Registered now for a free analysis and discovered if your

1607
01:30:33,680 --> 01:30:36,960
Speaker 1: home's title has been compromised. That's a sixty dollar value.

1608
01:30:37,120 --> 01:30:41,240
Speaker 1: Free visit home title lock dot com. Again, that's home

1609
01:30:41,479 --> 01:30:45,080
Speaker 1: title lock dot com. So we're continuing on with our discussion.

1610
01:30:45,120 --> 01:30:47,360
Speaker 1: You of rappid onset, gender dysphor you, I mean this

1611
01:30:47,479 --> 01:30:51,519
Speaker 1: is this is a big story, folks, because they're gonna

1612
01:30:51,520 --> 01:30:54,400
Speaker 1: do everything that can to suppress the truth here. Uh.

1613
01:30:54,439 --> 01:30:57,400
Speaker 1: They don't want the science, never mind the science to

1614
01:30:57,439 --> 01:30:59,280
Speaker 1: be settled. They don't want the science to be pursued

1615
01:30:59,800 --> 01:31:02,800
Speaker 1: because the Left has made such an investment in this

1616
01:31:02,840 --> 01:31:06,160
Speaker 1: notion of gender is fluid, and and this is there,

1617
01:31:06,200 --> 01:31:08,840
Speaker 1: this is their new civil rights struggle. The struggle for

1618
01:31:08,880 --> 01:31:13,880
Speaker 1: transgender rights when you have evidence that's pointing to this

1619
01:31:14,000 --> 01:31:16,479
Speaker 1: as a as in fact a psychiatric disorder. And by

1620
01:31:16,520 --> 01:31:19,240
Speaker 1: the way, I don't say that in a disparaging fashion,

1621
01:31:19,880 --> 01:31:21,760
Speaker 1: all right. I think that mental health is every bit

1622
01:31:21,800 --> 01:31:23,960
Speaker 1: as important as physical health. I think mental health and

1623
01:31:23,960 --> 01:31:27,719
Speaker 1: physical health are effectively one and the same. But I

1624
01:31:27,760 --> 01:31:31,840
Speaker 1: believe that if somebody has a psychiatric disorder, a psychiatric problem,

1625
01:31:31,920 --> 01:31:38,240
Speaker 1: they should be medically assisted. They should not expect there

1626
01:31:38,240 --> 01:31:43,760
Speaker 1: to be a societal movement to uh normalize and in

1627
01:31:43,840 --> 01:31:47,080
Speaker 1: fact celebrate what would be a disorder. And for people

1628
01:31:47,080 --> 01:31:50,800
Speaker 1: who say, well buck, people used to say that about homosexuality, well,

1629
01:31:50,840 --> 01:31:52,679
Speaker 1: first of all, people used to say a lot of things.

1630
01:31:53,040 --> 01:31:55,599
Speaker 1: And if we're gonna play that game, then I'll also

1631
01:31:55,640 --> 01:31:59,120
Speaker 1: say that there are some people who believe that they

1632
01:31:59,160 --> 01:32:04,720
Speaker 1: should have a limb removed that they they just do

1633
01:32:04,800 --> 01:32:07,640
Speaker 1: not believe that they should have the legs that they do,

1634
01:32:07,680 --> 01:32:09,920
Speaker 1: and they want them to be surgically removed. Should we

1635
01:32:09,960 --> 01:32:12,120
Speaker 1: and they really believe this this is a real disorder.

1636
01:32:12,520 --> 01:32:16,760
Speaker 1: Should we have doctors remove their legs? Should we do that?

1637
01:32:18,280 --> 01:32:23,240
Speaker 1: Uh So? Um, I just I just wanted to put

1638
01:32:23,280 --> 01:32:26,600
Speaker 1: us in in the proper context. Here the Brown University

1639
01:32:26,600 --> 01:32:29,040
Speaker 1: where the study was done, which is thinks of itself

1640
01:32:29,080 --> 01:32:31,960
Speaker 1: as on the forefront of you know, transgenderism and gender

1641
01:32:32,040 --> 01:32:33,559
Speaker 1: rights issues and all the rest of it. And Brown

1642
01:32:33,680 --> 01:32:35,439
Speaker 1: is you go back and look at his record. I mean,

1643
01:32:35,439 --> 01:32:38,160
Speaker 1: this was the place where you know, students there was

1644
01:32:38,760 --> 01:32:42,800
Speaker 1: people have been expelled for any any violation in the

1645
01:32:42,800 --> 01:32:47,840
Speaker 1: eyes of the social justice gods and your toast at Brown. Um.

1646
01:32:47,840 --> 01:32:52,280
Speaker 1: But but here's here's what they did. They pulled down.

1647
01:32:52,439 --> 01:32:54,360
Speaker 1: I mean this is the equivalent of book burning in

1648
01:32:54,360 --> 01:32:58,559
Speaker 1: a sense, folks. I mean they digitally deleted UH this

1649
01:33:00,600 --> 01:33:04,559
Speaker 1: journal entry in plus one Plos one about rapid onset

1650
01:33:04,560 --> 01:33:08,080
Speaker 1: gender dysphoria, and the dean of Brown University just a

1651
01:33:08,160 --> 01:33:11,160
Speaker 1: few days ago wrote the following. In light of questions

1652
01:33:11,200 --> 01:33:14,519
Speaker 1: raised about research design and data collection related to Lisa

1653
01:33:14,600 --> 01:33:18,519
Speaker 1: Litman study on rapid onset gender dysphoria, Brown determined that

1654
01:33:18,560 --> 01:33:21,720
Speaker 1: removing the article from news distribution is the most responsible

1655
01:33:21,760 --> 01:33:27,320
Speaker 1: course of action. Folks, Fox, come on, come on, We're

1656
01:33:27,360 --> 01:33:30,240
Speaker 1: not all idiots, right. This has nothing to do with

1657
01:33:30,680 --> 01:33:36,519
Speaker 1: questions about uh data collection and research design. What a

1658
01:33:36,760 --> 01:33:43,400
Speaker 1: bunch of cowards at Brown, What a bunch of utter cowards. Okay,

1659
01:33:43,439 --> 01:33:46,000
Speaker 1: just say it, Just say what's really going on here?

1660
01:33:46,200 --> 01:33:48,639
Speaker 1: You do not want this study to be out there

1661
01:33:48,680 --> 01:33:53,440
Speaker 1: with Brown's you know, with Brown's impromoter on it because

1662
01:33:53,680 --> 01:33:56,680
Speaker 1: it challenges core beliefs of the looney left when it

1663
01:33:56,720 --> 01:34:01,759
Speaker 1: comes to gender. That's what's really going on here. Here's

1664
01:34:02,040 --> 01:34:03,320
Speaker 1: and it continue by the way. I mean, I can't

1665
01:34:03,360 --> 01:34:05,559
Speaker 1: read the whole statement to you, but it's it's exactly

1666
01:34:05,600 --> 01:34:08,040
Speaker 1: what you would expect, a lot of just you know,

1667
01:34:08,160 --> 01:34:12,320
Speaker 1: merely mouth, weasel word nonsense quote. The school's commitment to

1668
01:34:12,320 --> 01:34:14,760
Speaker 1: studying and supporting the health and well being of our

1669
01:34:14,880 --> 01:34:19,120
Speaker 1: sexual and gender minority populations is unwavering. Our faculty and

1670
01:34:19,120 --> 01:34:21,480
Speaker 1: students are on the cutting edge of research on transgender

1671
01:34:21,479 --> 01:34:24,760
Speaker 1: populations domestically and global. The commitment of the school to

1672
01:34:24,760 --> 01:34:27,720
Speaker 1: diversity and inclusion is central to our mission, and we

1673
01:34:27,800 --> 01:34:30,479
Speaker 1: pride ourselves on being a community that fully recognizes and

1674
01:34:30,520 --> 01:34:33,960
Speaker 1: affirms the full diversity of gender and sexual identity and

1675
01:34:34,000 --> 01:34:37,160
Speaker 1: its members. These commitments are an unshakable part of our

1676
01:34:37,160 --> 01:34:41,360
Speaker 1: core values as a community. End quote. That's right. Gender

1677
01:34:41,400 --> 01:34:44,400
Speaker 1: diversity is more important than the truth at an American university.

1678
01:34:44,479 --> 01:34:47,599
Speaker 1: That's what this is. That is what they're saying, forget science,

1679
01:34:47,960 --> 01:34:51,599
Speaker 1: who cares about the data? Who cares about science? It's

1680
01:34:51,640 --> 01:34:54,719
Speaker 1: more important than we be inclusive to the full spectrum

1681
01:34:54,760 --> 01:35:01,360
Speaker 1: of gender identity. And this is what we were up against.

1682
01:35:01,400 --> 01:35:03,240
Speaker 1: You know, these are the people on the left to

1683
01:35:03,280 --> 01:35:05,640
Speaker 1: want electuross about truth and facts and science and all

1684
01:35:05,680 --> 01:35:10,240
Speaker 1: this other stuff, when they really just want the affirmation

1685
01:35:10,520 --> 01:35:14,880
Speaker 1: of their emotional needs through politics. That's what really this

1686
01:35:14,960 --> 01:35:19,400
Speaker 1: all comes down to. Uh. They want the data to

1687
01:35:19,520 --> 01:35:23,160
Speaker 1: support their virtue signaling on gender on everything, and when

1688
01:35:23,160 --> 01:35:26,479
Speaker 1: it doesn't, they scrap the data. And they also send

1689
01:35:26,479 --> 01:35:28,840
Speaker 1: a very clear message here, folks, to anyone else at

1690
01:35:28,840 --> 01:35:31,800
Speaker 1: Brown or elsewhere across the country. You think about doing

1691
01:35:31,840 --> 01:35:34,519
Speaker 1: the numbers on this running the numbers, they're gonna come

1692
01:35:34,560 --> 01:35:38,080
Speaker 1: after you. So next time they try to tell you, oh, well,

1693
01:35:38,320 --> 01:35:40,559
Speaker 1: you know this is what the experts say, just say no. Actually,

1694
01:35:40,600 --> 01:35:43,120
Speaker 1: the experts are mostly scared on this issue because that's

1695
01:35:43,160 --> 01:35:48,040
Speaker 1: the truth, certainly the truth of Brown folks. Sometimes science

1696
01:35:48,880 --> 01:35:52,400
Speaker 1: gets it right. What am I talking about this time? Well,

1697
01:35:53,200 --> 01:35:55,559
Speaker 1: it turns out there's a little study that broke over

1698
01:35:55,600 --> 01:36:01,599
Speaker 1: the weekend that says that eating red meat and cheese

1699
01:36:02,000 --> 01:36:05,640
Speaker 1: is good for you. Folks, come on, we've known this

1700
01:36:05,720 --> 01:36:09,200
Speaker 1: all you and I have known all along that, of

1701
01:36:09,320 --> 01:36:12,400
Speaker 1: course eating red meat and cheese is good for you,

1702
01:36:12,479 --> 01:36:16,200
Speaker 1: because red meat and cheese or what great Americans eat. Okay,

1703
01:36:16,760 --> 01:36:21,719
Speaker 1: this notion that we should be eating the processed, carb heavy,

1704
01:36:21,880 --> 01:36:26,599
Speaker 1: sugar laden crap that the big food companies want to

1705
01:36:26,600 --> 01:36:30,880
Speaker 1: just keep because it's shelf stable, because it's easy to ship,

1706
01:36:31,000 --> 01:36:35,559
Speaker 1: it's easy to to store, and it lasts forever. The

1707
01:36:35,800 --> 01:36:37,799
Speaker 1: that that should be a part of, or a major

1708
01:36:37,960 --> 01:36:41,320
Speaker 1: part I should say of you're you're diet. It's just

1709
01:36:41,479 --> 01:36:46,080
Speaker 1: it's just crazy. Okay, it's crazy, but that's what we

1710
01:36:46,080 --> 01:36:48,000
Speaker 1: were told for a long time. Now, it turns out

1711
01:36:48,000 --> 01:36:52,680
Speaker 1: according to researchers at McMaster University in Hamilton's, Ontario, they

1712
01:36:52,680 --> 01:36:55,160
Speaker 1: found out that people who scarf down higher levels of

1713
01:36:55,200 --> 01:36:58,960
Speaker 1: red meat and cheese are likely to live longer. That's right, folks,

1714
01:36:58,960 --> 01:37:03,679
Speaker 1: eat that burger, pound that seddar, because you will live longer.

1715
01:37:03,720 --> 01:37:07,880
Speaker 1: According to this study quote, our findings on full fat,

1716
01:37:07,960 --> 01:37:14,240
Speaker 1: dairy and unprocessed red meat do challenge conventional thinking. Those

1717
01:37:14,280 --> 01:37:16,240
Speaker 1: eating the most dairy and red meat saw their chances

1718
01:37:16,280 --> 01:37:19,200
Speaker 1: of early death fall by twenty five percent, and fatal

1719
01:37:19,240 --> 01:37:23,080
Speaker 1: heart attacks decreased by two percent. My friends. Look, I've

1720
01:37:23,120 --> 01:37:26,280
Speaker 1: I've run this experiment before. I went through a period

1721
01:37:26,320 --> 01:37:27,600
Speaker 1: where I was trying to do that. You know, I

1722
01:37:27,640 --> 01:37:31,040
Speaker 1: was trying to eat whole grains and and toast and

1723
01:37:31,080 --> 01:37:33,160
Speaker 1: all these things, and trying to eat these you know,

1724
01:37:33,200 --> 01:37:37,200
Speaker 1: sort of smaller lighter uh carb you know, heart healthy

1725
01:37:37,400 --> 01:37:40,439
Speaker 1: car bladon meals and and I was really struggling to

1726
01:37:41,000 --> 01:37:43,880
Speaker 1: shed any excess weight. And I mean the best shape

1727
01:37:43,920 --> 01:37:46,840
Speaker 1: I've been in recent years would have been about eighteen

1728
01:37:46,880 --> 01:37:50,880
Speaker 1: months ago, when I had dropped about fifteen and was

1729
01:37:50,960 --> 01:37:55,800
Speaker 1: lean for me, uh and I was eating I was

1730
01:37:55,840 --> 01:37:59,120
Speaker 1: eating three eg gaumelets and bacon every day. My cholesterol

1731
01:37:59,240 --> 01:38:02,639
Speaker 1: was fantastic, my body fat was way down. And it's

1732
01:38:02,680 --> 01:38:05,240
Speaker 1: just I'm telling you, you want to eat real food,

1733
01:38:05,720 --> 01:38:07,639
Speaker 1: and real food means things that you want to eat.

1734
01:38:07,680 --> 01:38:10,080
Speaker 1: It doesn't mean the high sugar crap that they're put

1735
01:38:10,080 --> 01:38:11,960
Speaker 1: in front of you. But it also just reminds us,

1736
01:38:11,960 --> 01:38:14,360
Speaker 1: all right that that, you know, a little bit of

1737
01:38:14,400 --> 01:38:17,280
Speaker 1: humility in this whole world of of diet and science

1738
01:38:17,280 --> 01:38:19,120
Speaker 1: and everything would be a nice thing from the media,

1739
01:38:19,600 --> 01:38:23,759
Speaker 1: you know, did they change our dietary advice all the time?

1740
01:38:24,280 --> 01:38:26,840
Speaker 1: And yet we're always told, well, the scientific consensus, the

1741
01:38:26,920 --> 01:38:32,599
Speaker 1: scientific consensus, consensus is not science. All right, we all

1742
01:38:32,640 --> 01:38:35,679
Speaker 1: know this consensus is not science. It's all about proving,

1743
01:38:35,680 --> 01:38:38,720
Speaker 1: it's all about the data. It's replicating the same experiment

1744
01:38:38,800 --> 01:38:43,200
Speaker 1: over and over. Um. And you know, oh, by the way,

1745
01:38:43,720 --> 01:38:48,479
Speaker 1: another study. Oh no, I'm sorry, darn it. Wait is

1746
01:38:48,479 --> 01:38:50,760
Speaker 1: this the same study? This would be amazing, folks, if

1747
01:38:50,760 --> 01:38:53,040
Speaker 1: this just came across my screen. Now, I think it

1748
01:38:53,120 --> 01:38:57,719
Speaker 1: may be. I think it may be. Um, hold on,

1749
01:38:58,640 --> 01:39:06,080
Speaker 1: new research. This the same one current advice two No, folks,

1750
01:39:06,160 --> 01:39:09,719
Speaker 1: this is this is additional evidence. This is the European

1751
01:39:09,800 --> 01:39:14,240
Speaker 1: Society of Cardiology. According to NBC News, it's time to

1752
01:39:14,320 --> 01:39:19,280
Speaker 1: reconsider low dairy diets. That's right, Cheese and yogurt found

1753
01:39:19,280 --> 01:39:23,240
Speaker 1: to protect against death from any cause and debt and

1754
01:39:23,439 --> 01:39:27,839
Speaker 1: also death from cerebral vascular causes like stroke. Folks. Another

1755
01:39:27,960 --> 01:39:31,800
Speaker 1: study here that just this is from today. I wasn't

1756
01:39:31,840 --> 01:39:33,800
Speaker 1: even thinking that these were I actually thought I had

1757
01:39:33,840 --> 01:39:36,280
Speaker 1: two pieces of research in front of me here that

1758
01:39:36,320 --> 01:39:38,280
Speaker 1: were the same story. You know, so I wanted to

1759
01:39:38,680 --> 01:39:42,040
Speaker 1: but no, actually, these are two different stories. This is amazing.

1760
01:39:42,840 --> 01:39:46,920
Speaker 1: This is dot from the Medical University of uh poland

1761
01:39:47,960 --> 01:39:50,639
Speaker 1: take that as you will. Who lead this study say

1762
01:39:50,680 --> 01:39:54,400
Speaker 1: that the average age of the participan anyway, They went

1763
01:39:54,439 --> 01:39:56,439
Speaker 1: into all the different details, but this is the point.

1764
01:39:57,000 --> 01:39:59,439
Speaker 1: The consumption of any kind of dairy associated with a

1765
01:39:59,479 --> 01:40:03,599
Speaker 1: two percent lower risk of death from any cause, folks,

1766
01:40:04,200 --> 01:40:08,120
Speaker 1: eight percent lower more total mortality risk with a dai

1767
01:40:08,120 --> 01:40:10,120
Speaker 1: area of a lot of cheese. I mean this is

1768
01:40:10,840 --> 01:40:13,639
Speaker 1: eat red meat and eat full fat cheese, folks. That's

1769
01:40:13,680 --> 01:40:16,960
Speaker 1: what you're being told. You eat real food, Eat food

1770
01:40:17,000 --> 01:40:21,040
Speaker 1: as it exists in nature. Don't believe all the you know,

1771
01:40:21,120 --> 01:40:25,639
Speaker 1: all the fad based dietary craplet's out there. Eat real food.

1772
01:40:26,760 --> 01:40:29,240
Speaker 1: Uh And you know that this is you kind of

1773
01:40:29,280 --> 01:40:31,280
Speaker 1: know this intuitively, but then when you see the science

1774
01:40:31,320 --> 01:40:33,320
Speaker 1: go in this direction, it's just a great day for America.

1775
01:40:34,040 --> 01:40:37,679
Speaker 1: Eat red meat, eat cheese. Now. I know people say

1776
01:40:37,680 --> 01:40:41,040
Speaker 1: a book you know, everything in moderation and yeah, yeah, yeah,

1777
01:40:41,320 --> 01:40:42,920
Speaker 1: I want to do a steakhouts not long ago that

1778
01:40:42,960 --> 01:40:45,200
Speaker 1: had all the calories listed for steaks, and like, I

1779
01:40:45,240 --> 01:40:47,240
Speaker 1: don't want to know how many calories are in my ribbi.

1780
01:40:47,360 --> 01:40:49,560
Speaker 1: I know it's too much, Okay, I don't need to

1781
01:40:49,560 --> 01:40:52,880
Speaker 1: be told this. I'm here to enjoy my ribbi. But

1782
01:40:53,080 --> 01:40:54,719
Speaker 1: you know that the point here is that this all

1783
01:40:54,760 --> 01:40:56,680
Speaker 1: this stuff about stay away from this, stay away from

1784
01:40:56,680 --> 01:40:59,600
Speaker 1: not eat all this cardboard tasting crap, the stuff we

1785
01:40:59,600 --> 01:41:03,400
Speaker 1: were told for so long it was wrong, it was wrong.

1786
01:41:03,479 --> 01:41:05,479
Speaker 1: And now you're being told to eat the food that

1787
01:41:05,520 --> 01:41:07,640
Speaker 1: you want to eat, eat the food that tastes delicious.

1788
01:41:08,080 --> 01:41:11,360
Speaker 1: And I just think that's in general and exciting, an

1789
01:41:11,439 --> 01:41:15,960
Speaker 1: exciting proposition. Um, And I'm happy about all all that stuff.

1790
01:41:16,000 --> 01:41:18,439
Speaker 1: So you know, I got good news for you today,

1791
01:41:18,439 --> 01:41:19,840
Speaker 1: and i'd like to share with you. That's what I'm

1792
01:41:19,880 --> 01:41:21,519
Speaker 1: here for, folks, here to bring you the good news

1793
01:41:21,560 --> 01:41:25,320
Speaker 1: and others will skip over the mainstream media. Can't trust them.

1794
01:41:25,560 --> 01:41:27,720
Speaker 1: We're gonna get into a roll call here in just

1795
01:41:27,800 --> 01:41:31,519
Speaker 1: a moment. Also, please make sure that you subscribe to

1796
01:41:31,560 --> 01:41:34,640
Speaker 1: the podcast of this show, because there's extras that go

1797
01:41:34,680 --> 01:41:38,320
Speaker 1: into your feed, like Shields High and also the Freedom

1798
01:41:38,360 --> 01:41:41,280
Speaker 1: Hut podcast, which this week is going to be a

1799
01:41:41,280 --> 01:41:53,360
Speaker 1: phenomenal one. We'll be right back, Hey, tem Bug, it's

1800
01:41:53,439 --> 01:42:04,960
Speaker 1: time for roll call. Call. It is back my friends

1801
01:42:05,000 --> 01:42:07,720
Speaker 1: the dub Step and uh I watched you know, I

1802
01:42:07,760 --> 01:42:10,639
Speaker 1: flew back from Los Angeles? What was it last night?

1803
01:42:10,720 --> 01:42:12,599
Speaker 1: Got in kind of late, was doing a rising this

1804
01:42:12,640 --> 01:42:15,960
Speaker 1: morning on about four hours sleep as one does and

1805
01:42:16,160 --> 01:42:19,200
Speaker 1: b D no big deal as the kids say. But

1806
01:42:19,280 --> 01:42:24,880
Speaker 1: I watched Deadpool two, which I I liked Deadpool one. Brandon,

1807
01:42:25,080 --> 01:42:27,519
Speaker 1: you support this. I thought Deadpool one was very good

1808
01:42:27,560 --> 01:42:30,000
Speaker 1: for what it was. I did enjoy Deadpool one did

1809
01:42:30,479 --> 01:42:33,360
Speaker 1: it was good. It was funny. Yeah, I liked. I

1810
01:42:33,400 --> 01:42:35,920
Speaker 1: liked Deadpool one. I thought it was good. H Deadpool

1811
01:42:36,040 --> 01:42:41,679
Speaker 1: two was okay, kind of lacked plot and and purpose,

1812
01:42:41,920 --> 01:42:43,439
Speaker 1: but there was a lot of There was some funny.

1813
01:42:43,600 --> 01:42:44,840
Speaker 1: There was a lot of funny stuff. I thought there's

1814
01:42:44,840 --> 01:42:46,720
Speaker 1: almost too much funy stuff. But one thing is a

1815
01:42:46,800 --> 01:42:52,000
Speaker 1: recurring joke in Deadpool two is dub steps, specifically uh

1816
01:42:52,280 --> 01:42:55,599
Speaker 1: them making fun of dub step, and I just thought

1817
01:42:55,600 --> 01:42:58,400
Speaker 1: that was that was amusing because it is it had

1818
01:42:58,439 --> 01:42:59,760
Speaker 1: its moment in the sun. I don't know if it's

1819
01:42:59,760 --> 01:43:01,360
Speaker 1: ever to come back. For those of you who don't know,

1820
01:43:01,840 --> 01:43:03,560
Speaker 1: dub step is what it's kind of like what we

1821
01:43:03,640 --> 01:43:07,240
Speaker 1: played as the intro. It is, um, how do we

1822
01:43:07,320 --> 01:43:11,760
Speaker 1: put this? It's like heavy beat electronic music. How would

1823
01:43:11,760 --> 01:43:13,920
Speaker 1: you did, Brandon, You're you're a DJ? How do you

1824
01:43:13,960 --> 01:43:18,679
Speaker 1: define dub stat I think you gotta nailed it pretty well. Okay,

1825
01:43:18,960 --> 01:43:23,679
Speaker 1: heavy electronic music, heavy electronic music like very beat beat

1826
01:43:23,720 --> 01:43:26,720
Speaker 1: and base heavy electronic music. All right, fair enough, let's

1827
01:43:26,720 --> 01:43:29,200
Speaker 1: get you a role call Facebook dot com slash buck Sexton.

1828
01:43:29,720 --> 01:43:34,120
Speaker 1: That is the role call rallying cry, that is where

1829
01:43:34,120 --> 01:43:37,880
Speaker 1: we do all the things that we do. And let's

1830
01:43:37,880 --> 01:43:40,960
Speaker 1: get right to it. We have Nicholas who writes Buck.

1831
01:43:40,960 --> 01:43:43,800
Speaker 1: I listen to your show as many others do. I

1832
01:43:43,840 --> 01:43:47,479
Speaker 1: am concerned if conservatism is lost in this November's election,

1833
01:43:47,520 --> 01:43:49,920
Speaker 1: what will happen to our country? Are we headed to

1834
01:43:50,000 --> 01:43:53,599
Speaker 1: another civil war instead of segregation, though it will be

1835
01:43:53,600 --> 01:43:59,760
Speaker 1: between Dems and Republicans thoughts, Nicholas, I am unlike some

1836
01:43:59,840 --> 01:44:02,160
Speaker 1: of the others out there who know that being a

1837
01:44:02,200 --> 01:44:05,320
Speaker 1: catastrophist is good for business. I'm here to tell you

1838
01:44:05,360 --> 01:44:07,920
Speaker 1: that we're gonna be okay, it's gonna be all right.

1839
01:44:08,120 --> 01:44:09,840
Speaker 1: Doesn't mean it's gonna be easy, doesn't mean we're not

1840
01:44:09,880 --> 01:44:12,880
Speaker 1: gonna take losses and take some hits. I'm not saying

1841
01:44:12,920 --> 01:44:18,519
Speaker 1: that there won't be some really ugly stuff if Conservatives, well,

1842
01:44:18,560 --> 01:44:21,640
Speaker 1: if if the GOP loses in this midterm election, you

1843
01:44:21,680 --> 01:44:24,800
Speaker 1: can mark my words. They are going to try and

1844
01:44:25,640 --> 01:44:28,000
Speaker 1: criminally prosecute a member of the Trump family. I don't

1845
01:44:28,000 --> 01:44:31,679
Speaker 1: know which one, I don't know how, but that will

1846
01:44:31,720 --> 01:44:34,599
Speaker 1: be the mission, that will be the goal that That's

1847
01:44:34,640 --> 01:44:37,559
Speaker 1: something that I'm I'm very confident of. And think about

1848
01:44:37,560 --> 01:44:39,280
Speaker 1: what that will do to the country, you know, think

1849
01:44:39,320 --> 01:44:42,840
Speaker 1: about how they have been willing to destroy somebody like

1850
01:44:42,880 --> 01:44:46,519
Speaker 1: General Flynn the service country for thirty years in the military.

1851
01:44:46,600 --> 01:44:49,720
Speaker 1: But what what was Flynn's real sin? Was it that

1852
01:44:49,760 --> 01:44:53,120
Speaker 1: he lied or was it that he supported Trump? We

1853
01:44:53,160 --> 01:44:55,880
Speaker 1: all know the answer to that, right, we all know

1854
01:44:55,920 --> 01:44:58,519
Speaker 1: why he's facing a federal why he had to plead

1855
01:44:58,520 --> 01:45:01,639
Speaker 1: guilty to a federal felony. UM. But I don't think

1856
01:45:01,640 --> 01:45:03,439
Speaker 1: we're heading for a civil war. I won't say that,

1857
01:45:03,640 --> 01:45:08,240
Speaker 1: um And I I think that ultimately, one thing that

1858
01:45:08,240 --> 01:45:10,360
Speaker 1: that we have on our side here is the country's doing.

1859
01:45:10,400 --> 01:45:13,360
Speaker 1: I give things. The country is doing really well. We

1860
01:45:13,360 --> 01:45:18,280
Speaker 1: We've got an incredible economic boom going on right now, jobs, manufacturing,

1861
01:45:18,360 --> 01:45:23,840
Speaker 1: the economy across the board. Plus uh, the you know,

1862
01:45:23,880 --> 01:45:25,479
Speaker 1: we're we're not We're not in the midst of a

1863
01:45:25,520 --> 01:45:28,360
Speaker 1: major war. We're not in the midst of you know,

1864
01:45:28,400 --> 01:45:33,680
Speaker 1: receiving daily casualty counts about our true troops overseas. Uh,

1865
01:45:33,800 --> 01:45:35,760
Speaker 1: you know, there's a lot to be really thankful for

1866
01:45:35,880 --> 01:45:37,400
Speaker 1: right now, folks. I mean, I'm not saying everything is

1867
01:45:37,439 --> 01:45:39,200
Speaker 1: great and we had no problems, of course not. But

1868
01:45:39,760 --> 01:45:42,280
Speaker 1: things are good. You know, we don't have this sense

1869
01:45:42,320 --> 01:45:45,400
Speaker 1: that radical Islam is about to fly a bunch more

1870
01:45:45,439 --> 01:45:49,120
Speaker 1: planes into our buildings or or you know, park truck

1871
01:45:49,160 --> 01:45:52,400
Speaker 1: bombs in front of major populated areas, and and that

1872
01:45:52,520 --> 01:45:56,640
Speaker 1: was our reality for years, for years in recent memory.

1873
01:45:57,240 --> 01:45:59,120
Speaker 1: So the country is doing really well, and I think

1874
01:45:59,200 --> 01:46:04,320
Speaker 1: that's important for all of us to remember, Brian, which

1875
01:46:04,360 --> 01:46:05,960
Speaker 1: also means I think we're not going to the Civil War.

1876
01:46:06,120 --> 01:46:08,360
Speaker 1: Listening to the the end of Monday's podcast, I imagine a

1877
01:46:08,400 --> 01:46:11,360
Speaker 1: scene in my head starring you and the Godfather Buck.

1878
01:46:12,160 --> 01:46:14,080
Speaker 1: I feel like I want to trash the trash talk

1879
01:46:14,120 --> 01:46:16,559
Speaker 1: the Boondoc Saints, but I'm afraid it will anger some

1880
01:46:16,640 --> 01:46:20,040
Speaker 1: of my listeners. Godfather. If you do, you may want

1881
01:46:20,040 --> 01:46:22,800
Speaker 1: to lay low afterwards. Buck, can you cover for me

1882
01:46:22,840 --> 01:46:27,920
Speaker 1: on Tuesday? Shields high? Buck, Shields very high? Brian, you

1883
01:46:27,960 --> 01:46:30,600
Speaker 1: may be onto something I could neither confirm nor do not.

1884
01:46:31,720 --> 01:46:35,719
Speaker 1: People love the Boondocks Saints is producer Mike within earshot

1885
01:46:35,800 --> 01:46:37,639
Speaker 1: or is he getting is he getting a phone number

1886
01:46:37,680 --> 01:46:39,559
Speaker 1: for one of the lovely ladies that works in finance

1887
01:46:39,600 --> 01:46:43,160
Speaker 1: in the building on the different floors or whatever. Oh,

1888
01:46:43,640 --> 01:46:46,280
Speaker 1: so he is getting somebody's phone now, alright, producer, producer

1889
01:46:46,320 --> 01:46:48,519
Speaker 1: Mike Man, that guy's always you gotta keep an eye,

1890
01:46:48,560 --> 01:46:52,880
Speaker 1: producer Mike. He's a ladies man. Um. But anyway, the Briant,

1891
01:46:52,920 --> 01:46:56,600
Speaker 1: I mean, Brandon Boon, Brian's writing Brandon, I'm talking to

1892
01:46:56,880 --> 01:47:03,360
Speaker 1: Boondocks Saints. What's your grade for it? B plus? Nothing crazy?

1893
01:47:03,600 --> 01:47:05,720
Speaker 1: You know, I think it's I enjoyed it, but I

1894
01:47:06,080 --> 01:47:09,840
Speaker 1: never got the immense hype. I I don't understand the

1895
01:47:09,880 --> 01:47:11,800
Speaker 1: immense hype either. And the best part of the movie

1896
01:47:11,880 --> 01:47:13,920
Speaker 1: is the is the intro and the intro music. That's

1897
01:47:13,920 --> 01:47:15,920
Speaker 1: the best part of the whole movie and the rest

1898
01:47:15,920 --> 01:47:17,439
Speaker 1: of it. I mean, when you, okay, let me just

1899
01:47:17,479 --> 01:47:21,360
Speaker 1: do this. When you compare the gun play in Boondocks, saynes,

1900
01:47:21,400 --> 01:47:23,320
Speaker 1: I know, people say this is unfair, but compare that

1901
01:47:23,400 --> 01:47:26,120
Speaker 1: to like John Wick and just the and they're very

1902
01:47:26,200 --> 01:47:28,080
Speaker 1: similar movies in a lot of ways. Right, there's a

1903
01:47:28,160 --> 01:47:31,200
Speaker 1: there's some similar stuff going on. John Wick is like

1904
01:47:31,800 --> 01:47:35,360
Speaker 1: John Wick is just incredible and it's just so stylish

1905
01:47:35,400 --> 01:47:38,720
Speaker 1: and well done. I was surprised by how good John

1906
01:47:38,720 --> 01:47:41,160
Speaker 1: Wick was. I agree with you, right, I think boo,

1907
01:47:41,240 --> 01:47:43,040
Speaker 1: I think John Wick is great. Uh, and you know

1908
01:47:43,120 --> 01:47:46,559
Speaker 1: John mccew delivers. It's not quite as awesome as John

1909
01:47:46,560 --> 01:47:49,559
Speaker 1: Wick one, but it delivers. It's solid anyway. But Brian

1910
01:47:49,760 --> 01:47:53,360
Speaker 1: to reach it to each his own. Melissa, greetings, I

1911
01:47:53,360 --> 01:47:55,879
Speaker 1: wish you would have Mic Rohan as a guest. Besides

1912
01:47:55,920 --> 01:47:59,200
Speaker 1: being an excellent raconteur, he has a wealth of knowledge

1913
01:47:59,200 --> 01:48:01,920
Speaker 1: about choosing trade at schools over college. I think he

1914
01:48:01,960 --> 01:48:04,400
Speaker 1: would be great on the show. Thanks. Keeping the shields

1915
01:48:04,439 --> 01:48:08,479
Speaker 1: high and are plums leveled? Oh? Look at Melissa throwing

1916
01:48:08,479 --> 01:48:12,320
Speaker 1: in a little reference to the ancient Roman javelin known

1917
01:48:12,320 --> 01:48:16,840
Speaker 1: as the peelum. It was a weighted spear with a

1918
01:48:17,040 --> 01:48:19,559
Speaker 1: wooden shaft and then it and then at the end

1919
01:48:19,920 --> 01:48:23,160
Speaker 1: the tip was metal and it kind of had a

1920
01:48:22,920 --> 01:48:25,479
Speaker 1: a a metal projection out of the top as well.

1921
01:48:25,520 --> 01:48:29,480
Speaker 1: I'm trying to describe the peelum to you, but it's uh,

1922
01:48:29,600 --> 01:48:31,360
Speaker 1: the way it was weighted. It was a very effective

1923
01:48:31,439 --> 01:48:37,160
Speaker 1: short distance throwing spear. At the Roman legions carried legionaries

1924
01:48:37,200 --> 01:48:41,960
Speaker 1: carried David next up here. UM. Oh, by the way, Mike, sorry,

1925
01:48:42,000 --> 01:48:44,920
Speaker 1: Melissa Micro is a guest. It would be fantastic, Folks.

1926
01:48:45,280 --> 01:48:46,680
Speaker 1: I'll always be honest with you. There are some of

1927
01:48:46,720 --> 01:48:49,920
Speaker 1: these guests that you ask us for and there you know,

1928
01:48:50,000 --> 01:48:52,559
Speaker 1: they are respect They respect what we do here in

1929
01:48:52,560 --> 01:48:55,680
Speaker 1: the freedom hout it. And it's just tough to coordinate schedules,

1930
01:48:56,400 --> 01:48:59,320
Speaker 1: you know. I was actually trying to get my last

1931
01:48:59,320 --> 01:49:00,880
Speaker 1: trip out to l A. Of course I reached out

1932
01:49:00,880 --> 01:49:02,559
Speaker 1: to Ben Shapiro. I'm like, Ben, we'd love to sit

1933
01:49:02,600 --> 01:49:04,599
Speaker 1: down to an interview with you. And Ben says great,

1934
01:49:04,680 --> 01:49:06,799
Speaker 1: you know, and and we just couldn't make the schedules

1935
01:49:06,800 --> 01:49:08,680
Speaker 1: work this time, but next time we'll do it. So

1936
01:49:08,800 --> 01:49:11,559
Speaker 1: you know, there's plenty of folks that are on the radar.

1937
01:49:11,560 --> 01:49:14,320
Speaker 1: I'm trying to trying to get involved with UH and

1938
01:49:14,600 --> 01:49:16,800
Speaker 1: have on his guests and particularly his podcast guests, and

1939
01:49:16,840 --> 01:49:18,960
Speaker 1: it's just a question of getting them out of time

1940
01:49:19,000 --> 01:49:21,320
Speaker 1: when they can do it, um, and when I can

1941
01:49:21,320 --> 01:49:25,960
Speaker 1: do it. T J writes Buck long Time No Talk.

1942
01:49:26,520 --> 01:49:28,680
Speaker 1: I was in Europe for the last two weeks. Try

1943
01:49:28,720 --> 01:49:30,360
Speaker 1: to keep up with you on podcasts, but hard to

1944
01:49:30,360 --> 01:49:32,240
Speaker 1: do while on vacations. All right, t J. You're allowed

1945
01:49:32,280 --> 01:49:34,240
Speaker 1: to take a break. We had lots of good food,

1946
01:49:34,360 --> 01:49:37,280
Speaker 1: good beer German of course, good wine Tuscan, and fun

1947
01:49:37,320 --> 01:49:39,599
Speaker 1: in general. But nothing's as good as the good old

1948
01:49:39,680 --> 01:49:42,760
Speaker 1: us of A. This especially became apparent when the last

1949
01:49:42,840 --> 01:49:45,680
Speaker 1: day I was talking to my distant relative. Apparently in

1950
01:49:45,720 --> 01:49:50,160
Speaker 1: Germany it is illegal to home school your children. The

1951
01:49:50,200 --> 01:49:53,000
Speaker 1: state literally requires you to send your kids to public school.

1952
01:49:53,400 --> 01:49:56,120
Speaker 1: This was definitely alarming for me as my wife is expecting.

1953
01:49:56,800 --> 01:49:58,720
Speaker 1: Although it maybe likely that our child ends up going

1954
01:49:58,760 --> 01:50:01,400
Speaker 1: to public school, I just can't fathom being required to

1955
01:50:01,439 --> 01:50:04,559
Speaker 1: send them there and really brings into perspective how free

1956
01:50:04,560 --> 01:50:06,680
Speaker 1: we are. God bless the USA from t J. T

1957
01:50:06,840 --> 01:50:09,320
Speaker 1: J is a great American patriot and a friend of

1958
01:50:09,360 --> 01:50:12,599
Speaker 1: the show. Um, yeah, man, it's you know, Europe, there's

1959
01:50:12,600 --> 01:50:14,720
Speaker 1: a lot we we we are more free. I think

1960
01:50:14,720 --> 01:50:17,439
Speaker 1: we often get this sense from the media, and it's

1961
01:50:17,479 --> 01:50:20,400
Speaker 1: because they love the the big welfare state stuff in Europe.

1962
01:50:20,600 --> 01:50:24,799
Speaker 1: But that, oh, Europe is just as free as we are. False. False.

1963
01:50:24,880 --> 01:50:28,200
Speaker 1: There's really no First Amendment in Europe does not exist,

1964
01:50:28,400 --> 01:50:30,080
Speaker 1: certainly not the sense that we think of. It doesn't

1965
01:50:30,080 --> 01:50:33,679
Speaker 1: even exist in great Britain, folks, the First Amendment free

1966
01:50:33,680 --> 01:50:36,240
Speaker 1: speech is way less protected in the UK there. It

1967
01:50:36,320 --> 01:50:40,320
Speaker 1: is in America way less protected. So you know, don't

1968
01:50:40,360 --> 01:50:42,240
Speaker 1: don't forget that when everyone's said, oh, we should just

1969
01:50:42,280 --> 01:50:44,400
Speaker 1: be look at European socialist going now, I'm not sure

1970
01:50:44,439 --> 01:50:47,559
Speaker 1: about that, folks. There's a lot of downside that comes

1971
01:50:47,600 --> 01:50:49,720
Speaker 1: with that. Uh, and I would not want to just

1972
01:50:49,760 --> 01:50:54,600
Speaker 1: sign onto it. Um Alan writes, Hey, Buck, did you

1973
01:50:54,600 --> 01:50:57,799
Speaker 1: get a chance to stroll around Venice Beach? Interesting place?

1974
01:50:58,160 --> 01:51:00,720
Speaker 1: You should have seen it thirty years ago. It was

1975
01:51:00,760 --> 01:51:03,679
Speaker 1: not so gentrified. Just read about just read about Hillary

1976
01:51:03,680 --> 01:51:05,599
Speaker 1: and her thirty thousand emails. Can you imagine the power

1977
01:51:05,640 --> 01:51:07,799
Speaker 1: the Chinese would have over her if she became president

1978
01:51:07,800 --> 01:51:11,200
Speaker 1: and they had all those emails? Scary stuff? Alan, Yeah, Alan,

1979
01:51:11,280 --> 01:51:13,120
Speaker 1: I really want to Okay, well, two things. Let's first

1980
01:51:13,160 --> 01:51:15,120
Speaker 1: deal with the Hillary emails. Then I'll talk about Venice

1981
01:51:15,160 --> 01:51:21,880
Speaker 1: Beach for a moment. I really want to get verification

1982
01:51:21,960 --> 01:51:24,799
Speaker 1: of this story about the Chinese hack of Hillary's emails.

1983
01:51:24,800 --> 01:51:27,280
Speaker 1: I look Daily Callers put it up. I like the

1984
01:51:27,280 --> 01:51:29,280
Speaker 1: folks the Daily Caller a lot, but but I want

1985
01:51:29,320 --> 01:51:31,040
Speaker 1: to make sure that we're on solid ground there. I

1986
01:51:31,080 --> 01:51:33,120
Speaker 1: don't want to pull a CNN and run with the

1987
01:51:33,160 --> 01:51:35,760
Speaker 1: story because I would honestly like it to be true

1988
01:51:35,800 --> 01:51:37,320
Speaker 1: in a sense, I mean, as much as it would

1989
01:51:37,320 --> 01:51:40,519
Speaker 1: be bad for the country. I've always believed that Hillary's

1990
01:51:40,520 --> 01:51:43,080
Speaker 1: emails were hacked and somebody does have them, so it's

1991
01:51:43,120 --> 01:51:44,479
Speaker 1: not like it would be a new thing. We just

1992
01:51:44,479 --> 01:51:48,280
Speaker 1: would know it now we know the truth. Um So

1993
01:51:48,439 --> 01:51:50,479
Speaker 1: I want to get a little more a little more

1994
01:51:50,479 --> 01:51:54,040
Speaker 1: background on that one. And then as for the discussion

1995
01:51:54,160 --> 01:51:58,240
Speaker 1: about um Venice Beach or rather ask for your comment

1996
01:51:58,280 --> 01:52:00,640
Speaker 1: with Venice Beach. Yeah, I did get to Venice. I

1997
01:52:00,720 --> 01:52:02,639
Speaker 1: was on the boardwalk. I gotta say, it's a little

1998
01:52:02,760 --> 01:52:04,960
Speaker 1: you know, a little bit like the East Village on

1999
01:52:04,960 --> 01:52:08,040
Speaker 1: a beach. It was okay, I'm not I mean, I

2000
01:52:08,080 --> 01:52:09,800
Speaker 1: didn't love it. I wouldn't run back to go to

2001
01:52:09,800 --> 01:52:12,040
Speaker 1: the boardwalk in Venice. I'm more of a Santa Monica

2002
01:52:12,080 --> 01:52:15,920
Speaker 1: guying myself, which probably surprises none of you. A little

2003
01:52:15,960 --> 01:52:19,000
Speaker 1: little more of a Santa Monica dude. Uh so, Yeah,

2004
01:52:19,080 --> 01:52:21,280
Speaker 1: but miss Mallin had a great time. It's beautiful weather,

2005
01:52:21,360 --> 01:52:24,479
Speaker 1: and look, I understand California. It's very seductive folks. Put

2006
01:52:24,520 --> 01:52:27,920
Speaker 1: all the liberalism aside. California is a very seductive place

2007
01:52:27,960 --> 01:52:30,800
Speaker 1: to to call home. We're gonna leave it there for

2008
01:52:30,840 --> 01:52:33,599
Speaker 1: today in the Freedom Hunt. We're gonna have Jesse Kelly

2009
01:52:33,600 --> 01:52:35,960
Speaker 1: and Sean Parnell this week on the Freedom Hunt podcast. Folks,

2010
01:52:36,000 --> 01:52:39,320
Speaker 1: that's gonna be amazing, So I'll be sure you subscribe

2011
01:52:39,320 --> 01:52:42,400
Speaker 1: and download to that. See you tomorrow from The Freedom

2012
01:52:42,479 --> 01:52:46,519
Speaker 1: Hunt live from d C. As always, Shields Hie. If

2013
01:52:46,520 --> 01:52:49,320
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2014
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2015
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2016
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2017
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2020
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2021
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2022
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2023
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2024
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2025
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