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Speaker 1: Kamala Harris is going to come out with a new book.

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Speaker 1: We have an exclusive first peak that I may or

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Speaker 1: may not have made up.

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Speaker 2: Also, a new company is at the center.

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Speaker 1: Of the vitriol of talking about genetics for some reason.

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Speaker 1: I'm not sure why that's happening. And Nancy Pelosi absolutely

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Speaker 1: loses it on CNN, which is a hilarious thing that

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Speaker 1: you have to see. All that more coming up on

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Speaker 1: this episode of Turning Point Tonight. My name is Joe Bob.

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Speaker 1: Thanks so much for tuning in. Together, we are charting

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Speaker 1: the course of America's cultural comeback. This is Turning Point Tonight.

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Speaker 1: Before get any those stories and our fantastic panel, we've

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Speaker 1: got to talk about the elephant in the room, or

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Speaker 1: the Hillary in your emails, which is Hillary Clinton, who

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Speaker 1: totally knew about the plan to start the Russian collusion hoax.

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Speaker 1: Now recognized that, especially if you're watching this show, you

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Speaker 1: probably know all of this. But as things continue to

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Speaker 1: come out and we find an even smokey or smoky gun,

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Speaker 1: we figured we've got to bring it to you. The

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Speaker 1: New York Post is reporting, but along with a bunch

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Speaker 1: of other people reporting information that has been released by

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Speaker 1: Senator truck Chuck Grassly on who knew what when? Apparently

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Speaker 1: there were a couple documents that the Obama administration have

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Speaker 1: collected that are now in the public thanks to Senator Grassley.

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Speaker 1: It turns out that everybody was aware that Julian Smith,

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Speaker 1: who was an aide or an advisor to Hillary Clinton,

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Speaker 1: came up with this idea, Hey, we're going to murky

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Speaker 1: the waters here and insert this Trump collusion with Russia

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Speaker 1: narrative and see if we can distract away from your

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Speaker 1: email scandal. Well, apparently that wasn't really an unspoken thing,

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Speaker 1: and newly released emails seem to confirm that not only

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Speaker 1: Hillary knew about it, but she signed off on it.

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Speaker 1: George Soros has the Open Society's foundation, and one of

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Speaker 1: the vice presidents over there sent an email that literally

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Speaker 1: verbatim said, this HRC approved Julia's idea about Trump and

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Speaker 1: Russia hackers hampering US elections. That should distract people from

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Speaker 1: her own missing email, especially if the affair goes to

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Speaker 1: the Olympic level. First things first, well there you go.

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Speaker 1: Second thing, who sends an email like that, Hey, we're

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Speaker 1: doing a crime, and this is the crime that we're doing.

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Speaker 1: Good luck on the crime again, all of this I'm

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Speaker 1: sure you're aware of, and I'm sure you know, but

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Speaker 1: this just seems to be another smoking gun in the

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Speaker 1: hand of Hillary herself. Let's welcome in our fantastic panel

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Speaker 1: to comment on this and so much more. Bobby SaaS

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Speaker 1: Bobby Saucelito is a political commentator and the chair of

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Speaker 1: the Omaha Young Republicans. Haley Mcinnaiey, guys, thanks so much

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Speaker 1: for joining us. Really appreciate you taking the time for sure, Bobby,

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Speaker 1: But let's start with you here.

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Speaker 2: Again.

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Speaker 1: We knew all of this, This is no new information,

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Speaker 1: but it just appears to be another duh moment for

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Speaker 1: all of us who understand the Clintons and how they operate.

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Speaker 3: Well, the sad part about it is that they keep

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Speaker 3: getting away with it, and that it doesn't matter what

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Speaker 3: they do or when they do it, or how obvious

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Speaker 3: it is, or how little they cover up their tracks,

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Speaker 3: they never do anything about it. So these types of stories,

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Speaker 3: these used to like really rile me up four or

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Speaker 3: five years ago when I thought that, like, if only

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Speaker 3: Trump will get back in charge.

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Speaker 4: He'll hold all these people accountable.

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Speaker 3: And it's like yet despite that, he was in there

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Speaker 3: the first term, a lot of things didn't happen. The

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Speaker 3: Republicans said they were gonna get Hunter Biden, that didn't happen.

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Speaker 3: Every single promise they make about bringing someone to justice

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Speaker 3: never actually comes to fruition. So it's like even Donnie

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Speaker 3: Now putting out these AI videos of Obama getting arrested,

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Speaker 3: It's like, if you had Obama on treason, then just

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Speaker 3: take them to and get them on trees and don't

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Speaker 3: tell me about what you're about to do. So this,

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Speaker 3: to me is another complete waste of time. They're not

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Speaker 3: gonna do anything about it. It's all a WWE show,

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Speaker 3: and I'm like sick of it because like, none of

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Speaker 3: this stuff is ever gonna happen. The only person that

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Speaker 3: ever got held accountable was Trump. Like the left actually

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Speaker 3: did what they said they were gonna do. I wish

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Speaker 3: the right would maybe do something once.

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Speaker 5: In a while.

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Speaker 1: Hmm, Well maybe if President Trump is watching this. First

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Speaker 1: of all, thanks for watching Real America's Voice. And second,

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Speaker 1: Bobby Sass apparently has some advice for how the administration

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Speaker 1: should handle this, and I can't I can't say that

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Speaker 1: I would entirely disagree with that. Haley, your thoughts here Again,

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Speaker 1: this is like one of those yeah, we all know this,

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Speaker 1: but it keeps coming out drip by drip. Is this

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Speaker 1: part of the continued push to get the public on board,

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Speaker 1: because if you're gonna prosecute some of your political enemies,

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Speaker 1: you have to be sure that it was actually going on,

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Speaker 1: and I think getting the public on board is a

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Speaker 1: big step to that.

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Speaker 4: Yeah.

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Speaker 6: Absolutely, Well, First things first, I am not with her,

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Speaker 6: I think I should say that on the record, and

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Speaker 6: also I think I agree with Bobby in the fact

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Speaker 6: that we've seen this play over and over and over again.

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Speaker 6: I think at this point we just want something to happen.

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Speaker 7: At the end of the day.

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Speaker 6: I do think that truth prevails in whatever way that is.

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Speaker 6: I think that there will be consequences for something. What

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Speaker 6: it is, I'm not sure. I think that you need

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Speaker 6: a spine for that to happen, and we have a

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Speaker 6: lot of that lacking in Congress and with the people

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Speaker 6: that could actually do something about it. But I personally

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Speaker 6: am holding out hope that something will happen because I

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Speaker 6: think it's more than just the emails. I think there's

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Speaker 6: a lot of other things too that can be connected

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Speaker 6: to Hillary that also need to be investigated and also prosecuted.

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Speaker 1: Yeah, it's you know, I'm choosing to be optimistic. Whether

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Speaker 1: or not that's a good idea of Bobby, who knows,

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Speaker 1: But I choose to be optimistic, especially with the public

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Speaker 1: getting to hear this stuff, sometimes for the first time.

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Speaker 2: But speaking of.

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Speaker 1: Corruption at really every level, there is a stock trader

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Speaker 1: who is far and above every single stock trader on

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Speaker 1: Wall Street.

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Speaker 2: She is unbelievable.

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Speaker 1: Unfortunately, she's been burdened by having to be in Congress

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Speaker 1: the last several decades, but Nancy Pelosi has outperformed pretty

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Speaker 1: much every hedge fund, stock brokerage, et everything. She's outperformed,

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Speaker 1: and President Trump is calling her on it. And because

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Speaker 1: he's calling her on it, people are asking her about it.

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Speaker 1: I want you to watch this clip from CNN where

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Speaker 1: Jake Tapper, who's told her we were going to talk

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Speaker 1: about something else questions are on it, and watch her

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Speaker 1: not not be cool about it.

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Speaker 8: So Nancy Pelosi became rich.

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Speaker 9: I might have to read that we're here to talk

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Speaker 9: about the sixtieth anniversary of Medicaid. That's what I agreed

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Speaker 9: to come to talk. Yeah, but I want what that

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Speaker 9: means in the election.

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Speaker 8: I wanted to give you a chances to respond.

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Speaker 4: He accused you of insider trading.

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Speaker 10: What's your response to that?

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Speaker 9: That's very ridiculous. In fact, I very much support the

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Speaker 9: stop the trading of members of Congress, not that I

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Speaker 9: think anybody's doing anything wrong. If they are, they are

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Speaker 9: prosecuted and they go to jail. But because of the

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Speaker 9: confidence and it stills in American people don't worry about this.

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Speaker 9: But I have no concern about the obvious investments so

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Speaker 9: had been made over time. I'm not into it. My

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Speaker 9: husband is, but it isn't anything to do with anything

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Speaker 9: inside of hmm.

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Speaker 1: Yeah, there's again. She just they happen to be the

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Speaker 1: best bobby. You know the report of there, Jake Tapper

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Speaker 1: was bravely the one who uncovered Joe Biden's cognitive decline.

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Speaker 1: None of us were aware of that until Jake Tapper's

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Speaker 1: groundbreaking book. But I don't know why do you think

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Speaker 1: he asked that about her? Do you think he's covering

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Speaker 1: his own butt? And also, you know, what do you

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Speaker 1: think is going on on Nancy's side?

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Speaker 3: I mean, as far as why he's asking it, you know,

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Speaker 3: it's anybody's guests. I would imagine that it's to create

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Speaker 3: clips like that, because I can't imagine that a lot

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Speaker 3: of people are watching CNN on a regular basis, and

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Speaker 3: if the ratings for these types of shows and these

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Speaker 3: types of channels and whatnot are all decreasing, and it

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Speaker 3: seems to me like this is kind of like the

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Speaker 3: only play that you actually have left. But the problem,

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Speaker 3: the thing that's so unfortunate about the insider trading and

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Speaker 3: the congress people trading stocks is that this is like

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Speaker 3: the secret This is like the secret unspoken rule of

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Speaker 3: how do you how to actually make money in Washington,

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Speaker 3: d C. Otherwise a lot I feel like a lot

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Speaker 3: of these people wouldn't just go there for public service.

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Speaker 3: It's how you make It's how you make ten twenty

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Speaker 3: thirty times your income. But the reality is, like the

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Speaker 3: insider trading component, legally speaking.

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Speaker 4: Is not what they're actually breaking.

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Speaker 3: It's just that they have so much information that it

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Speaker 3: gives them an advantage inherently. They don't have to have

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Speaker 3: some some officer of the company tell them some secret

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Speaker 3: and that they know it's going to go one way

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Speaker 3: or the other. They are making the decision as to

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Speaker 3: whether it will go one way or the other, which

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Speaker 3: means that they're absolved from any of those laws. So

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Speaker 3: she obviously doesn't care or pretend she doesn't care because

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Speaker 3: she already made two hundred and eighty million dollars or whatever,

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Speaker 3: and she's also one hundred and thirty six years old,

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Speaker 3: so she doesn't care. But I saw Rick Scott saying

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Speaker 3: the same thing. Rick Scott is like, oh, we shouldn't

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Speaker 3: be against these people making money, and it's like, dude,

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Speaker 3: Rick Scott is worth like over five hundred million dollar.

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Speaker 3: I like Rick Scott, don't get me wrong, but it's

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Speaker 3: like the problem is is that this is the reasoning

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Speaker 3: why people go in to public office and public service

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Speaker 3: is that they can enrich themselves with insider information that's

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Speaker 3: not illegal. So it is a problem, But none of

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Speaker 3: these people are ever going to vote to take away

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Speaker 3: their own you know, money, money funnel.

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Speaker 1: It sounds like you're telling me you don't know any

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Speaker 1: other people that have a job that has one hundred

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Speaker 1: thousand dollars salary but for some reason are worth half

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Speaker 1: a billion dollars. You know that happens all the time

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Speaker 1: across the board. Haley, your your thoughts on this one? Yeah,

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Speaker 1: the question, but two Nancy and her husband just being

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Speaker 1: fantastically wealthy after life of public service.

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Speaker 6: You know, I think my favorite animal is watching Nancy

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Speaker 6: Pelosi trying to have a coherent sentence come out of

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Speaker 6: her mouth. So it's always fun to see that. It's

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Speaker 6: always a good little game for me to see if

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Speaker 6: it's going to make sense or not. But you know,

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Speaker 6: I think one thing is that you should not be

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Speaker 6: making laws that are also going to financially benefit you.

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Speaker 6: I think that's very much common and sense. And an

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Speaker 6: interesting thing I noticed is before the election, if everybody remembers,

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Speaker 6: there was a lot of talk from our elected officials

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Speaker 6: that were like, we need to really put bands in

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Speaker 6: place for stock trading for those and their family members

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Speaker 6: to not be able to do that. And all of

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Speaker 6: a sudden, that rhetoric seems to have changed quite a bit.

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Speaker 6: No matter how many vodka sodas you've had in the day,

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Speaker 6: it just seems like, now, all of a sudden, we're

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Speaker 6: not for that. And I think at the end of

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Speaker 6: the day, what I don't know the metric of this,

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Speaker 6: but I would assume when you have multiple highly followed

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Speaker 6: Twitter accounts following your every move in the stock market,

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Speaker 6: you're probably doing something incorrectly. So I hope, once again,

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Speaker 6: I hope that there is people with fine and enough

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Speaker 6: cahunas to say this has got to stop. This is

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Speaker 6: not something favorable to the American people, And hopefully I'm

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Speaker 6: just going to hold out hope here again, I'm holding

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Speaker 6: a lot you guys, that someone is going to stand

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Speaker 6: up and actually do something about it, because it's disgusting.

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Speaker 1: In my personal opinion, Haley's leading the charge and choosing optimy.

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Speaker 1: I love it speaking of things at the circle of

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Speaker 1: the circle of fire.

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Speaker 4: Here.

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Speaker 2: We don't have a ton of time, but I really

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Speaker 2: want to be able to squeeze this.

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Speaker 1: In dunkin Donuts again, is propagating fascist propaganda with another

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Speaker 1: commercial about genetics. We don't need to play the commercial

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Speaker 1: because we make money on commercials and we want people

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Speaker 1: to buy the ad space and.

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Speaker 2: Not just play it for free.

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Speaker 1: But basically understand that it's the same thing going on

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Speaker 1: with the Sydney Sweeney American Eagle. I for one, would

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Speaker 1: like to point out anybody who's calling anybody racist for this.

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Speaker 1: I would happily trade genetics with Lebron James. I think

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Speaker 1: I'd do fantastically well in the NBA, and that's just

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Speaker 1: what I would choose if I could choose my genetics.

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Speaker 4: Hailey.

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Speaker 1: Quick answer here is this is gonna be you know,

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Speaker 1: this thing that kind of continues, It's going to fizzle

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Speaker 1: out eventually as.

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Speaker 6: A blonde haired, blue eyed woman. I hope it continues

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Speaker 6: because finally we're getting represented everyone yes for diversity. I'm

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Speaker 6: very excited. I hope it continues in my personal opinion,

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Speaker 6: and I think use your great adds on both Sidney

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Speaker 6: Sweeney and the Dunkin Donuts gentlemen. I think they're fantastic,

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Speaker 6: and I hope we keep exploring this.

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Speaker 1: Bobby Sauce, God forbid we use hot people in commercials

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Speaker 1: and advertisement am I right?

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Speaker 3: Yeah, Well it's it's the pendulum swinging the other way.

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Speaker 3: It's like for the last however many years, it was

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Speaker 3: like OB's, you know Obe's, they them with one leg

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Speaker 3: or whatever, and that was the shocking thing. But now

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Speaker 3: that everything is that, it's like having just like a

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Speaker 3: classic traditional white is just like, oh my god. So

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Speaker 3: this is actually the exactly what advertisements and commercials are

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Speaker 3: supposed to do. They're supposed to cause attention, they're supposed

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Speaker 3: to bring eyeballs and then they can repair the reputation

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Speaker 3: supposedly later. Meanwhile, I haven't heard the word American Egle

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Speaker 3: the business name in a decade.

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Speaker 4: I haven't heard it since I was in high school.

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Speaker 3: So it's like I've seen it six hundred and fifty

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Speaker 3: times in the last two days.

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Speaker 4: That's a dub.

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Speaker 3: Whether they if they put again, if they put like

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Speaker 3: Lizo or something, no one would have cared.

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Speaker 4: And that's why they are actually doing the right time.

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Speaker 1: Well, yeah, I mean I tweeted the other day or

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Speaker 1: ex posted the other day. Whatever they paid Sidney Sweeney,

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Speaker 1: it wasn't enough for how much earned media they got

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Speaker 1: from this. Holy cow, Hayley Bobby will be back right

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Speaker 1: after the break to discuss Kamala Harris's new book, A

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Speaker 1: sneak peak that you're not going to hear anywhere else

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Speaker 1: maybe that I may have made up right after the break.

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Speaker 2: Don't go ahea, It'll be right back after this.

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Speaker 11: Got to admire what you've been able to do, not

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Speaker 11: to weaponize, but to organize on these college campuses.

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Speaker 12: At Turning Point, USA. We've spent thirteen years building the machine,

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Speaker 12: and last year we sought payoff our grassroots Army is

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Speaker 12: making a real difference.

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Speaker 8: Help us keep the momentum going.

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Speaker 12: Donate today and keep TPUSA strong on campuses across America.

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Speaker 10: And for a gift of any amount, you'll receive your

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Speaker 10: big Gov sucks cooler claim yours today.

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Speaker 1: Welcome back to Turning Point Tonight. We're together, we are

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Speaker 1: charting the course of America's cultural meg Let's check in

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Speaker 1: with Monica Page Turning Boys, White House correspondent at the

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Speaker 1: White House, Monica. A lot going on today, as per usual,

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Speaker 1: including the tariff deadlines that the lib media have been

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Speaker 1: just so treacherously reporting about. But some news there this morning.

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Speaker 1: What happened right?

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Speaker 5: So, the day started out with a readout from President

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Speaker 5: Trump himself on truth Social that he held a very

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Speaker 5: informative phone call with Mexico's Claudia Shinebomb where the two

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Speaker 5: agreed to extend this agreement on trade for the next

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Speaker 5: ninety days. So whatever deal that the US and Mexico

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Speaker 5: have as it stands right now, is going to continue

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Speaker 5: for the next ninety days. And that includes twenty five

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Speaker 5: percent pentanyl tariffs, twenty for twenty five percent tariffs on cars,

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Speaker 5: fifty percent tariffs on steel, aluminum, and copper as well.

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Speaker 5: So whatever this agreement that we have right now as

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Speaker 5: far as tariffs go, that's going to be extended over

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Speaker 5: the next ninety days. The President and Claudia Shinbaum are

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Speaker 5: going to be talking over the next ninety days, and

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Speaker 5: hopefully after these next ninety days an agreement can officially

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Speaker 5: be made, so kind of extending that deadline through. But

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Speaker 5: I'm sure the phone calls have been coming in from

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Speaker 5: different countries. I mean, they just saw South Korea come through,

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Speaker 5: of course, twenty five percent tariffs on India as well.

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Speaker 5: There's also been an agreement on oil with Pakistan. So

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Speaker 5: countries are just calling into the White House dying to

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Speaker 5: speak to President Romp about these tarift deadlines, which obviously

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Speaker 5: is coming tomorrow.

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Speaker 4: Yeah.

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Speaker 1: I mean, I listened to a lot of NPR to

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Speaker 1: punish myself for my sins, and they're telling me that

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Speaker 1: any day now this is going to ruin the economy.

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Speaker 1: But so, you know, obviously those folks are really hating

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Speaker 1: to see deals getting done there. Speaking of the President

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Speaker 1: making some moves, I thought this is really interesting. The

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Speaker 1: presidential fitness test could be coming back to schools.

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Speaker 5: Tell us about that, Joe, Bob I don't know about you,

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Speaker 5: but I was never good at the Presidential Fitness Test.

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Speaker 5: I could one pull up or maybe half of a

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Speaker 5: pull up. But listen, this is great for kids at

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Speaker 5: school right now because President Obama did a way the

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Speaker 5: President's your Fitness Test back in twenty twelve, I guess

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Speaker 5: and installed something called Fitness Graham, something online and online

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Speaker 5: personal test. But essentially people really weren't excited about Fitness Graham.

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Speaker 5: So the President is saying, you know what, I'm going

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Speaker 5: to sign an executive order today expanding my counsel on Sports,

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Speaker 5: Fitness and Nutrition, and we're going to revive the Presidential

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Speaker 5: Fitness Test. He's going to be joined by Harrison Butker.

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Speaker 5: He's going to be joined by a series of athletes

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Speaker 5: as well. You've got uf not UFCWWE wrestler Triple h

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Speaker 5: is going to be there. He's one of my favorites,

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Speaker 5: by the way, so I think that's going to be

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Speaker 5: pretty cool to see him. But he's all he's very

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Speaker 5: excited about this. I'm interested to see if he's going

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Speaker 5: to talk about the renaming of the Cleveland Indians or

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Speaker 5: the Washington Redskins, if we're going to talk sports. He

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Speaker 5: loves sports. He gets into his element when he talks

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Speaker 5: about sports, so I'm interested to see if he'll speak

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Speaker 5: on that as well. Fum fact, the Presidential Fitness Test

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Speaker 5: was established in nineteen sixty six by President Lyndon B. Johnson,

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Speaker 5: so it's around for quite some time until Obama nicked it,

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Speaker 5: but President Trump is prety in that back.

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Speaker 1: Interesting one of the very few positive things that LBJ

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Speaker 1: put into place, but interesting.

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Speaker 2: Glad to see that's back.

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Speaker 1: Lastly, some White House expansions looking like it's going to

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Speaker 1: be taking place. What's going on there?

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Speaker 5: The White House is teazes for quite some time, but

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Speaker 5: now we got an official readout from Press Secretary Caroline

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Speaker 5: Levitch of this afternoon of installing the White House Ballroom.

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Speaker 5: It's going to be an addition of the East wing,

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Speaker 5: so not the side of the White House is with

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Speaker 5: the West wing, it'll be on the other side. It's

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Speaker 5: going to be about ninety thousand square feet, hold six

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Speaker 5: hundred and fifty people, and it's going to be about

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Speaker 5: two hundred million dollars, completely funded by private donors and

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Speaker 5: also the President himself. So it starts in two months.

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Speaker 5: Construction will start in September, and it should be done

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Speaker 5: well before the president's term is up, so definitely be

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Speaker 5: staying tuned. And of course it's going to be pretty

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Speaker 5: busy here at the White House, a build bit construction

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Speaker 5: through coming through, but it's going to be gorgeous as

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Speaker 5: you see it from those pictures.

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Speaker 1: Monica Page got all the fun tidbits. I will probably

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Speaker 1: quibble though. I feel like that budget should be at

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Speaker 1: least five billion dollars, a lot of it going to

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Speaker 1: special interest in a little bit actually to the construction.

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Speaker 2: That's the way things tend to.

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Speaker 1: Work there, unfortunately, but hopefully gets under budget. Mandicaye turning

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Speaker 1: points white hon squrespondent, thanks so much for joining us.

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Speaker 1: Thank so much, you guys, Thank you. Former DEI Hire

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Speaker 1: Vice president. Kamala Harra Harris is doing something that we

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Speaker 1: all have been clamoring for, writing a book. The day

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Speaker 1: after she announced that she's not going to be seeking

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Speaker 1: the governorship of California, which, holy cow, thank god, as

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Speaker 1: a show that's based in California, she decided to come

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Speaker 1: out with her new book, One hundred and seven Days,

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Speaker 1: chronicling the campaign that was doomed from the start because

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Speaker 1: Kamala Harris was the one leading the charge, let's bring.

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Speaker 2: Our panel back.

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Speaker 1: Bobby saus Hayley mccannally, guys, I actually got a hold

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Speaker 1: of an exclusive excerpt from the book that I made up.

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Speaker 2: Let me read it to you right now.

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Speaker 1: Kamala Harris's Book About Kamala Harris is a book about

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Speaker 1: Kamala Harris as it relates to the text of the history.

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Speaker 1: That is, is not the moment specifically now that we

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Speaker 1: exist in this moment, but in all moments that pertains

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Speaker 1: to the idea of the moment in history like such,

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Speaker 1: it has always been, Bob, your thoughts.

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Speaker 4: My thoughts are, that's a beautiful passage.

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Speaker 3: I saw that this book is like over three hundred

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Speaker 3: something pages, which is just absolutely perfect, totally great.

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Speaker 4: But I actually think it's funny.

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Speaker 3: She's making like she's making cringy tiktoks about the book.

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Speaker 3: And in the TikTok video that she sposed today, she

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Speaker 3: had one of those things where you like face the

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Speaker 3: other way and pretend that someone behind you is saying it.

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Speaker 3: And in the thing she says she's like, I bet

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Speaker 3: you all thought I've been sitting on the beach drinking

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Speaker 3: Margarita's for the last year, but I've been writing a book,

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Speaker 3: and it's like, why would you go to the thing

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Speaker 3: that you definitely were doing as your first thing, you know.

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Speaker 12: What I mean?

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Speaker 4: Like, And she probably wasn't on the beach, she was

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Speaker 4: probably at the house, So I don't know. Oh, it's

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Speaker 4: gonna be garbage.

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Speaker 1: Hayley producer Glenn texted earlier and said, can you imagine

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Speaker 1: being the ghost writer on this book and how having

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Speaker 1: to come up with the word salad phenomenon to last? However,

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Speaker 1: three hundred pages? Who's going to read this thing?

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Speaker 13: You know?

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Speaker 6: Let me tell you there is also a book called

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Speaker 6: one hundred and twenty seven hours, but a guy chewing

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Speaker 6: his arm off.

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Speaker 5: To get outside the mountain.

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Speaker 6: That is something I would rather do than read this

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Speaker 6: book of one hundred and seven pages. To be honest

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Speaker 6: with you, I can name about one hundred things I

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Speaker 6: would rather do than write this book. So I just

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Speaker 6: hope again if whoever it was was not paid enough

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Speaker 6: to do it, and I think they need compensation for

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Speaker 6: therapy for sure.

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Speaker 1: I just want to do this to get it on

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Speaker 1: the record. I'm curious if we're if we're playing a

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Speaker 1: sort of a gambling game. Bobby over under on her

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Speaker 1: growing up in a middle class neighborhood at five I

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Speaker 1: think five over under more or less of growing up

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Speaker 1: in a middle class neighborhood.

438
00:20:52,200 --> 00:20:54,520
Speaker 2: What do you mean like in the in the book?

439
00:20:54,920 --> 00:20:56,440
Speaker 2: In the book, I bet.

440
00:20:56,280 --> 00:20:57,879
Speaker 3: The first chapter is called that grew up in a

441
00:20:57,880 --> 00:20:59,040
Speaker 3: middle class family.

442
00:21:01,320 --> 00:21:05,000
Speaker 1: And Haley, yes or no? The book includes the phrase

443
00:21:05,240 --> 00:21:06,360
Speaker 1: unburdened by.

444
00:21:06,160 --> 00:21:09,520
Speaker 6: What has been Oh the number one word I would

445
00:21:09,560 --> 00:21:12,320
Speaker 6: have meagined, catchy PT couldn't even clock that. I think

446
00:21:12,320 --> 00:21:14,120
Speaker 6: they probably did so many times.

447
00:21:14,800 --> 00:21:18,119
Speaker 1: Uh yeah, I'm I'm actually excited to read this book,

448
00:21:18,119 --> 00:21:20,199
Speaker 1: not because I think I'll find anything interesting in it,

449
00:21:20,240 --> 00:21:22,679
Speaker 1: but because clearly we'll bring it on the show to

450
00:21:22,760 --> 00:21:26,040
Speaker 1: mock it endlessly. Uh, speaking of you know, you know

451
00:21:26,119 --> 00:21:28,840
Speaker 1: how I would probably read that book. I'd probably read

452
00:21:28,840 --> 00:21:32,600
Speaker 1: it with the gen z stare just the blank expressionist,

453
00:21:32,800 --> 00:21:36,600
Speaker 1: expressionalist look that unfortunately so many young people are talking about.

454
00:21:36,640 --> 00:21:40,800
Speaker 1: There's a there if you haven't noticed this yet, young

455
00:21:40,880 --> 00:21:45,280
Speaker 1: kids who haven't properly been socialized, and there's a much

456
00:21:45,359 --> 00:21:50,440
Speaker 1: deeper and probably probably is scary and unfortunate findings in

457
00:21:50,720 --> 00:21:51,720
Speaker 1: this as a whole.

458
00:21:52,400 --> 00:21:55,240
Speaker 2: They just kind of stare at you, just blankly.

459
00:21:55,240 --> 00:21:58,040
Speaker 1: If you ask a question, just kind of deer in

460
00:21:58,119 --> 00:22:00,800
Speaker 1: headlights kind of thing, and it's gotten to the point

461
00:22:00,800 --> 00:22:03,560
Speaker 1: where even NBC News is reporting on it. They did

462
00:22:03,600 --> 00:22:06,399
Speaker 1: a big, long piece about what is actually going on

463
00:22:06,440 --> 00:22:08,119
Speaker 1: there and some of the cases they were making is

464
00:22:08,400 --> 00:22:12,080
Speaker 1: this gen Z culture that got to ban from going

465
00:22:12,119 --> 00:22:15,280
Speaker 1: to school because of the Fauci fever as well as

466
00:22:15,320 --> 00:22:18,480
Speaker 1: grow up in the TikTok social media era, is just

467
00:22:18,640 --> 00:22:22,200
Speaker 1: kind of unaware of how to act in the modern

468
00:22:22,280 --> 00:22:25,720
Speaker 1: world and in real life. Haley One, have you noticed

469
00:22:25,760 --> 00:22:28,679
Speaker 1: this among people who are under the age of twenty

470
00:22:28,680 --> 00:22:30,000
Speaker 1: five and two?

471
00:22:30,480 --> 00:22:31,960
Speaker 2: What do we need to do to get them to

472
00:22:32,200 --> 00:22:33,040
Speaker 2: snap out of it?

473
00:22:34,520 --> 00:22:37,440
Speaker 6: Yeah, working with young Republicans, obviously, I've a lot of

474
00:22:37,480 --> 00:22:40,280
Speaker 6: interaction with young Democrats and a lot of times that

475
00:22:40,440 --> 00:22:42,760
Speaker 6: is the lights on, but nobody's home. And so this

476
00:22:42,920 --> 00:22:45,920
Speaker 6: is exactly what I see in the gen Z stare unfortunately,

477
00:22:46,720 --> 00:22:49,560
Speaker 6: and you know, hopefully, I think this also goes into

478
00:22:49,600 --> 00:22:52,159
Speaker 6: the etiquette they use every day when they're out and about.

479
00:22:52,200 --> 00:22:54,120
Speaker 6: This goes into how they interact with other people, how

480
00:22:54,119 --> 00:22:56,240
Speaker 6: they talk. And I think that if we don't call

481
00:22:56,280 --> 00:22:58,439
Speaker 6: it out and maybe market just a little bit, just

482
00:22:58,480 --> 00:23:01,480
Speaker 6: a chad, just enough to make get uncool. I think

483
00:23:01,480 --> 00:23:04,160
Speaker 6: that this could really start to change the generation because

484
00:23:04,200 --> 00:23:06,520
Speaker 6: it's embarrassing when you compare it to other people.

485
00:23:06,960 --> 00:23:09,520
Speaker 1: Bobby, I want to set you up on this specifically.

486
00:23:09,600 --> 00:23:11,840
Speaker 1: One of the points that was made in this article

487
00:23:12,119 --> 00:23:15,719
Speaker 1: is that kids just kind of wait expressionlessly because they

488
00:23:15,760 --> 00:23:18,040
Speaker 1: don't want to do something or say something that might

489
00:23:18,040 --> 00:23:21,159
Speaker 1: get them canceled online because they haven't existed outside of

490
00:23:21,200 --> 00:23:24,119
Speaker 1: the social media world. What words of wisdom do you

491
00:23:24,160 --> 00:23:27,720
Speaker 1: think you could give to the Gen Z generation of well,

492
00:23:27,720 --> 00:23:29,520
Speaker 1: you shouldn't be worried about being canceled.

493
00:23:30,280 --> 00:23:32,720
Speaker 4: Well, I think that the words of wisdom.

494
00:23:33,200 --> 00:23:35,560
Speaker 3: I mean, that's a tough one, but I just want

495
00:23:35,600 --> 00:23:38,240
Speaker 3: to say that this might be a controversial view on this,

496
00:23:38,400 --> 00:23:41,920
Speaker 3: but I actually think that what they're doing that they're

497
00:23:41,920 --> 00:23:45,359
Speaker 3: actually kind of victims of this more so than deciding

498
00:23:45,400 --> 00:23:49,080
Speaker 3: to do this, because like, they have so much information

499
00:23:49,320 --> 00:23:52,360
Speaker 3: that's beyond the level of information that's ever existed ever,

500
00:23:52,480 --> 00:23:54,680
Speaker 3: even for us, we were really the first generation to

501
00:23:54,760 --> 00:23:57,400
Speaker 3: have access to that with search engines and social media

502
00:23:57,440 --> 00:23:57,920
Speaker 3: and whatnot.

503
00:23:58,080 --> 00:23:59,920
Speaker 4: They don't know a world that doesn't have that.

504
00:24:00,280 --> 00:24:02,240
Speaker 3: So I would almost wager that maybe it is that

505
00:24:02,280 --> 00:24:05,159
Speaker 3: they're thinking and not so much that they're like dumb,

506
00:24:05,440 --> 00:24:07,480
Speaker 3: or that they're afraid of being canceled. I would almost

507
00:24:07,480 --> 00:24:10,359
Speaker 3: wager that they're actually thinking because there's so much information

508
00:24:10,600 --> 00:24:13,919
Speaker 3: that they have to compute that if depending on the

509
00:24:13,920 --> 00:24:16,240
Speaker 3: path that they end up taking. It's like your phone

510
00:24:16,320 --> 00:24:19,800
Speaker 3: could make you a multimillionaire, whereas your phone for us

511
00:24:19,800 --> 00:24:22,120
Speaker 3: didn't even exist at that age, and it couldn't really

512
00:24:22,160 --> 00:24:23,920
Speaker 3: make you a multimillionaire. You had to have some other

513
00:24:23,960 --> 00:24:26,280
Speaker 3: set of skills. So I would wager that what they're

514
00:24:26,320 --> 00:24:29,399
Speaker 3: doing is a lot of processing. And I almost like

515
00:24:29,440 --> 00:24:32,000
Speaker 3: feel bad that they're kind of like victimized in this way.

516
00:24:32,040 --> 00:24:35,479
Speaker 3: And it's like there is no older, you know, phrase

517
00:24:35,520 --> 00:24:37,600
Speaker 3: in the book than like making fun of the next

518
00:24:37,640 --> 00:24:39,640
Speaker 3: generation to come. Not that I think that we're doing

519
00:24:39,680 --> 00:24:42,280
Speaker 3: it maliciously, but it's like everybody made fun of us

520
00:24:42,280 --> 00:24:44,199
Speaker 3: and said that we were lazy, said that we were

521
00:24:44,240 --> 00:24:46,240
Speaker 3: spending too much time on the computer. Yet here we

522
00:24:46,280 --> 00:24:49,320
Speaker 3: are computering building a life where we could work remote.

523
00:24:49,440 --> 00:24:51,399
Speaker 3: I would say that a lot of them are processing it,

524
00:24:51,560 --> 00:24:54,840
Speaker 3: but they absolutely should a get more in touch with nature.

525
00:24:54,880 --> 00:24:57,080
Speaker 3: I think all of us should, in any generation and

526
00:24:57,160 --> 00:25:00,119
Speaker 3: be not worry about develop a thick enough skill and

527
00:25:00,119 --> 00:25:02,320
Speaker 3: so that you don't care what anybody says about you,

528
00:25:02,520 --> 00:25:05,800
Speaker 3: and being canceled is certainly not something to worry about.

529
00:25:05,840 --> 00:25:07,840
Speaker 3: And people making fun of you, they have to be

530
00:25:07,880 --> 00:25:08,960
Speaker 3: more resilient.

531
00:25:08,560 --> 00:25:10,080
Speaker 4: To that than any generation ever.

532
00:25:10,200 --> 00:25:13,000
Speaker 1: So totally yeah, And to piggyback on to that, I

533
00:25:13,080 --> 00:25:16,439
Speaker 1: obviously enjoy making fun of well, really every generation, but

534
00:25:16,600 --> 00:25:19,200
Speaker 1: in specifically Gen Z and Millennials.

535
00:25:19,280 --> 00:25:21,680
Speaker 2: I always go back to, hey, they didn't raise themselves too.

536
00:25:21,720 --> 00:25:24,600
Speaker 1: There's also that element of, you know, maybe there's some

537
00:25:25,080 --> 00:25:27,920
Speaker 1: blame to be put other than just that specific generation.

538
00:25:28,000 --> 00:25:30,840
Speaker 1: But good points. Thanks for making them, Bobby Hayley, thanks

539
00:25:30,880 --> 00:25:32,840
Speaker 1: so much for joining us. Really appreciate you taking the time,

540
00:25:33,280 --> 00:25:33,800
Speaker 1: my pleasure.

541
00:25:33,880 --> 00:25:35,440
Speaker 4: Absolutely thank you.

542
00:25:35,520 --> 00:25:37,199
Speaker 1: Coming up next year on Turning Point tonight, we've got

543
00:25:37,240 --> 00:25:40,520
Speaker 1: a fantastic clip Mouse Clark's Culture Apothecary podcast, one of

544
00:25:40,520 --> 00:25:44,239
Speaker 1: the number one podcasts on any podcast platform, say right here,

545
00:25:44,240 --> 00:25:45,239
Speaker 1: will be right back after this.

546
00:25:50,000 --> 00:25:53,000
Speaker 11: Got to admire what you've been able to do, not

547
00:25:53,040 --> 00:25:57,040
Speaker 11: to weaponize, but to organize on these college campuses.

548
00:25:56,680 --> 00:25:59,960
Speaker 12: At Turning Point USA. We've spent thirteen years building the machine,

549
00:26:00,200 --> 00:26:00,840
Speaker 12: and last.

550
00:26:00,640 --> 00:26:01,679
Speaker 8: Year we sought payoff.

551
00:26:02,040 --> 00:26:04,560
Speaker 12: Our grassroots army is making a real difference. Help us

552
00:26:04,640 --> 00:26:07,840
Speaker 12: keep the momentum going. Donate today and keep tp USA

553
00:26:07,960 --> 00:26:11,119
Speaker 12: strong on campuses across America.

554
00:26:10,480 --> 00:26:12,640
Speaker 10: And for a gift of any amount, you'll receive your

555
00:26:12,640 --> 00:26:17,840
Speaker 10: big Gove sucks Cooler claim yours today?

556
00:26:23,359 --> 00:26:27,760
Speaker 14: Are seasonal allergies normal or a sign that something is wrong?

557
00:26:28,000 --> 00:26:28,480
Speaker 15: Allergies?

558
00:26:28,520 --> 00:26:31,960
Speaker 16: A definition of an allergy is an abnormal reaction to

559
00:26:32,080 --> 00:26:34,920
Speaker 16: something that's normally occurring in the environment.

560
00:26:35,200 --> 00:26:37,919
Speaker 15: So it's sort of like an immune system response. So

561
00:26:37,960 --> 00:26:38,760
Speaker 15: sometimes people have.

562
00:26:38,720 --> 00:26:42,359
Speaker 16: An autoimmune issue where your immune system attacks their own cells.

563
00:26:42,840 --> 00:26:47,040
Speaker 16: This is an immune inflammatory response where your immune system

564
00:26:47,240 --> 00:26:50,760
Speaker 16: is recognizing something as foreign that it shouldn't be recognizing

565
00:26:50,760 --> 00:26:51,240
Speaker 16: as foreign.

566
00:26:51,400 --> 00:26:54,280
Speaker 14: So I want to get into both food allergies and

567
00:26:54,680 --> 00:26:57,880
Speaker 14: seasonal allergies today. I want to dive into food allergies.

568
00:26:57,920 --> 00:26:58,240
Speaker 15: First.

569
00:26:58,480 --> 00:26:59,080
Speaker 5: There is a.

570
00:26:59,160 --> 00:27:04,720
Speaker 14: Real scandalous scientific story behind how we got to every

571
00:27:04,840 --> 00:27:07,640
Speaker 14: kid has a peanut allergy. Can you kind of tell

572
00:27:07,720 --> 00:27:08,280
Speaker 14: us about that?

573
00:27:08,520 --> 00:27:11,200
Speaker 16: So let's first talk about the incidents of peanut allergy

574
00:27:11,240 --> 00:27:14,320
Speaker 16: in this country, which is about ten percent of children.

575
00:27:14,880 --> 00:27:17,480
Speaker 16: Now let's look at the incidents of peanut allergy in

576
00:27:17,840 --> 00:27:19,840
Speaker 16: another country like Israel.

577
00:27:20,359 --> 00:27:22,800
Speaker 15: The incidence of peanut allergy zero point two percent.

578
00:27:23,119 --> 00:27:25,639
Speaker 16: Why is there such a difference between the incidents in

579
00:27:25,680 --> 00:27:29,520
Speaker 16: this country versus other countries. The key is that peanut

580
00:27:29,680 --> 00:27:33,560
Speaker 16: is introduced in teething rings in Middle Eastern countries and

581
00:27:33,600 --> 00:27:37,040
Speaker 16: in Israel, and so it's introduced very very early on,

582
00:27:37,080 --> 00:27:38,879
Speaker 16: within the first couple of months of life.

583
00:27:39,480 --> 00:27:41,640
Speaker 15: When you introduce things early on.

584
00:27:41,720 --> 00:27:44,080
Speaker 16: Within the first twelve months of life, you are less

585
00:27:44,160 --> 00:27:45,520
Speaker 16: likely to have an allergy.

586
00:27:45,880 --> 00:27:47,760
Speaker 15: So what happens in the United States.

587
00:27:48,040 --> 00:27:50,520
Speaker 16: In the United States, there was a recommendation made by

588
00:27:50,560 --> 00:27:53,920
Speaker 16: the American Academy of Pediatrics that said, do not feed

589
00:27:53,920 --> 00:27:58,080
Speaker 16: peanuts to your children until after the age of two.

590
00:27:58,240 --> 00:28:02,359
Speaker 16: So what happens we don't introduce peanuts. Interestingly, older siblings

591
00:28:02,480 --> 00:28:04,399
Speaker 16: are eating peanuts right, They're having their peanut butter and

592
00:28:04,480 --> 00:28:08,000
Speaker 16: jelly sandwiches and everything. So the initial way that babies

593
00:28:08,040 --> 00:28:11,440
Speaker 16: were getting exposed to peanut was through the skin. Now,

594
00:28:11,440 --> 00:28:13,560
Speaker 16: it's important to understand when you're exposed to something for

595
00:28:13,600 --> 00:28:15,359
Speaker 16: the first time through the skin. Your skin is the

596
00:28:15,440 --> 00:28:18,680
Speaker 16: largest immune organ in your body. So when you get

597
00:28:18,680 --> 00:28:20,480
Speaker 16: exposed through the skin, the body's like, oh, this is

598
00:28:20,520 --> 00:28:23,240
Speaker 16: something foreign. This is a bacterial infection, this is a virus,

599
00:28:23,240 --> 00:28:26,520
Speaker 16: this is something weird. So because peanut was around surfaces

600
00:28:26,600 --> 00:28:29,080
Speaker 16: and the big brothers and sisters were eating peanut or whatever,

601
00:28:29,119 --> 00:28:32,360
Speaker 16: there was exposure to peanut through the skin. Then when

602
00:28:32,359 --> 00:28:35,760
Speaker 16: it gets introduced after the age of two, the body says, oh,

603
00:28:35,800 --> 00:28:37,720
Speaker 16: what's this. This is that weird thing that got introduced

604
00:28:37,720 --> 00:28:40,320
Speaker 16: through my skin, and the body then has that abnormal

605
00:28:40,360 --> 00:28:43,200
Speaker 16: reaction to something that's normally occurring in the environment. So

606
00:28:43,360 --> 00:28:48,120
Speaker 16: it was an accidental flaw in this recommendation to not

607
00:28:48,200 --> 00:28:53,480
Speaker 16: introduce peanut early on in children, and partially because there

608
00:28:53,520 --> 00:28:56,160
Speaker 16: was concern that it might be a choking hazard, and

609
00:28:56,240 --> 00:28:59,400
Speaker 16: partially because the science at the time thought you should

610
00:28:59,440 --> 00:29:02,880
Speaker 16: avoid things so that you don't get an allergy. And

611
00:29:02,960 --> 00:29:06,480
Speaker 16: what we've learned now about the immune system is early

612
00:29:06,600 --> 00:29:11,320
Speaker 16: exposure is what actually trains your immune system to properly

613
00:29:11,440 --> 00:29:13,520
Speaker 16: recognize what is foreign and.

614
00:29:13,440 --> 00:29:14,280
Speaker 15: What is not foreign.

615
00:29:14,400 --> 00:29:17,560
Speaker 16: So it was bad science. It was unknown science, right.

616
00:29:17,640 --> 00:29:19,680
Speaker 16: It was like, this is what we were operating on.

617
00:29:19,960 --> 00:29:22,200
Speaker 16: We didn't quite understand how the immune system worked. We

618
00:29:22,200 --> 00:29:25,080
Speaker 16: didn't understand the immune markers. We're talking like twenty years ago,

619
00:29:25,120 --> 00:29:27,960
Speaker 16: and think about all the advances in science and immuneology

620
00:29:27,960 --> 00:29:31,600
Speaker 16: and the ability to do laboratory testing to understand how

621
00:29:31,600 --> 00:29:34,920
Speaker 16: we make antibodies right, and so there was an assumption

622
00:29:35,160 --> 00:29:39,960
Speaker 16: mean that introducing peanuts early would lead to allergy, and

623
00:29:40,000 --> 00:29:40,760
Speaker 16: then we found.

624
00:29:40,600 --> 00:29:41,920
Speaker 15: That it was just the opposite.

625
00:29:42,040 --> 00:29:44,880
Speaker 14: So is this type of situation playing out over and

626
00:29:44,880 --> 00:29:46,760
Speaker 14: over again with all different types of food. Is this

627
00:29:46,840 --> 00:29:50,720
Speaker 14: why we're seeing this uptick and everybody.

628
00:29:50,080 --> 00:29:51,320
Speaker 5: Has a food allergy now?

629
00:29:51,480 --> 00:29:52,800
Speaker 15: Or is it something else in your.

630
00:29:52,760 --> 00:29:56,080
Speaker 16: Opinion, Well, it's one piece, so that's relating to peanut

631
00:29:56,160 --> 00:29:59,600
Speaker 16: in particular. However, why are food allergies on such a

632
00:29:59,680 --> 00:30:01,240
Speaker 16: rise in this country? And there are a couple of

633
00:30:01,240 --> 00:30:07,080
Speaker 16: other factors. One is introduction of early antibiotics in moms

634
00:30:07,080 --> 00:30:10,280
Speaker 16: who are pregnant and then also in babies before they're

635
00:30:10,320 --> 00:30:13,440
Speaker 16: twelve months of age, because that skews the microbiome. So

636
00:30:13,480 --> 00:30:15,880
Speaker 16: the microbiome plays a role in all of this and

637
00:30:15,920 --> 00:30:18,360
Speaker 16: it kills off all the good bacteria. That good bacteria

638
00:30:18,480 --> 00:30:21,840
Speaker 16: is important to have a balance and then create a

639
00:30:22,160 --> 00:30:27,120
Speaker 16: proper immune system response. So introduction of early antibiotics and

640
00:30:27,560 --> 00:30:30,680
Speaker 16: overuse of antibiotics. And then the other fact contributing factor

641
00:30:30,720 --> 00:30:34,400
Speaker 16: for food allergy is increased amounts of sea sections And

642
00:30:34,440 --> 00:30:39,200
Speaker 16: the reason there is you are bypassing the baby's initial

643
00:30:39,920 --> 00:30:43,560
Speaker 16: exposure to the good bacteria in the vaginal canal, and

644
00:30:43,640 --> 00:30:46,160
Speaker 16: so when you do that, these babies are more prone

645
00:30:46,280 --> 00:30:47,800
Speaker 16: to have allergic disease.

646
00:30:47,960 --> 00:30:51,120
Speaker 14: Okay, this is fascinating because the United States has a

647
00:30:51,200 --> 00:30:53,520
Speaker 14: higher ce section rate than basically anywhere else.

648
00:30:53,560 --> 00:30:53,880
Speaker 15: Correct.

649
00:30:54,040 --> 00:30:56,960
Speaker 14: Yes, wow, because I think a lot of people and

650
00:30:57,080 --> 00:30:58,640
Speaker 14: I mean, I don't know, maybe there's some truth to it,

651
00:30:58,640 --> 00:31:00,360
Speaker 14: but I think a lot of people, especially my audience,

652
00:31:00,360 --> 00:31:02,960
Speaker 14: wants to blame the food allergy thing on vaccines. But

653
00:31:03,600 --> 00:31:05,280
Speaker 14: I feel like I agree with you. I think it

654
00:31:05,360 --> 00:31:08,280
Speaker 14: is the antibiotics. I think the sea section thing is interesting.

655
00:31:08,600 --> 00:31:11,160
Speaker 14: And I think the not exposing them to peanuts till

656
00:31:11,200 --> 00:31:13,720
Speaker 14: a lot later makes more sense to me.

657
00:31:13,880 --> 00:31:15,800
Speaker 15: Those are the three major factors.

658
00:31:16,120 --> 00:31:18,000
Speaker 16: And like, the C section rates are really high, and

659
00:31:18,040 --> 00:31:19,920
Speaker 16: we can get into the reasons why they're really high.

660
00:31:20,000 --> 00:31:23,080
Speaker 16: But sometimes women were just saying like, well, out of convenience,

661
00:31:23,240 --> 00:31:24,520
Speaker 16: or like I don't want to have to have a

662
00:31:24,560 --> 00:31:27,440
Speaker 16: vaginal birth that sounds painful, or I am a high powered,

663
00:31:27,560 --> 00:31:29,800
Speaker 16: very busy woman and I don't want to I want

664
00:31:29,800 --> 00:31:30,840
Speaker 16: to schedule my birth.

665
00:31:30,960 --> 00:31:31,160
Speaker 5: Yeah.

666
00:31:31,280 --> 00:31:33,880
Speaker 16: Right, And so we've just seen for lots of reasons

667
00:31:33,920 --> 00:31:36,600
Speaker 16: and perverse incentives and reimbursement rates and all of that

668
00:31:37,000 --> 00:31:39,640
Speaker 16: sea sections through the roof in this country when they're

669
00:31:39,640 --> 00:31:43,200
Speaker 16: not medically necessary and there are consequences associated with that.

670
00:31:43,320 --> 00:31:45,360
Speaker 16: I would say the biggest factor as it relates to

671
00:31:45,400 --> 00:31:48,400
Speaker 16: why we're seeing more allergies actually ties to the microbiome.

672
00:31:48,720 --> 00:31:50,760
Speaker 16: So we're finding more and more things pointing to the

673
00:31:50,760 --> 00:31:51,800
Speaker 16: microbiome in your gut.

674
00:31:51,840 --> 00:31:54,800
Speaker 14: How do you explain an adult developing a food allergy

675
00:31:54,840 --> 00:31:58,040
Speaker 14: suddenly to something that they've eaten their entire life, No problem.

676
00:31:58,160 --> 00:32:01,800
Speaker 16: Yeah, we usually see it in shellfish allergy in particular,

677
00:32:02,160 --> 00:32:06,040
Speaker 16: and the leading theory right now is twofold. One is

678
00:32:06,200 --> 00:32:09,040
Speaker 16: increased use of ant acids and the other is increased

679
00:32:09,120 --> 00:32:12,960
Speaker 16: use of alcohol. So what happens is lots of ant acids,

680
00:32:13,040 --> 00:32:16,600
Speaker 16: right the proton pump inhibitors. They basically inhibit the production

681
00:32:16,680 --> 00:32:20,800
Speaker 16: of acid in your stomach. Alcohol also messes with the pH.

682
00:32:20,480 --> 00:32:21,080
Speaker 15: In your stomach.

683
00:32:21,280 --> 00:32:23,960
Speaker 16: So what happens is you're eating these foods and then

684
00:32:24,000 --> 00:32:27,320
Speaker 16: suddenly the way that the protein is broken down is different.

685
00:32:27,720 --> 00:32:30,000
Speaker 16: So for shelfish allergy in particular, and we don't know

686
00:32:30,000 --> 00:32:32,040
Speaker 16: why it happens with shellfish and not as much with

687
00:32:32,080 --> 00:32:32,760
Speaker 16: other allergies.

688
00:32:32,760 --> 00:32:34,360
Speaker 15: But the way this shellfish.

689
00:32:33,960 --> 00:32:36,960
Speaker 16: Protein now gets broken down by the body because your

690
00:32:37,320 --> 00:32:39,560
Speaker 16: stomach lining and your pH is kind of messed up,

691
00:32:40,120 --> 00:32:42,600
Speaker 16: it looks foreign, and so that's why you tend to

692
00:32:42,640 --> 00:32:46,880
Speaker 16: see shellfish allergy and adults that are more likely have

693
00:32:47,040 --> 00:32:50,160
Speaker 16: taken either ant acids for a prolonged period of time

694
00:32:50,280 --> 00:32:50,840
Speaker 16: or alcohol.

695
00:32:50,960 --> 00:32:53,400
Speaker 14: Okay, this is my biggest fear because seafood is my

696
00:32:53,520 --> 00:32:54,200
Speaker 14: number one phase.

697
00:32:54,400 --> 00:32:55,240
Speaker 15: But just keep eating it.

698
00:32:55,400 --> 00:32:57,600
Speaker 14: Yeah, okay, because I do like that is if I

699
00:32:57,680 --> 00:32:59,120
Speaker 14: had to give up everything, I can only choose one

700
00:32:59,120 --> 00:32:59,920
Speaker 14: type of food eat the rest.

701
00:32:59,800 --> 00:33:01,000
Speaker 5: Of my life, it would be seafood.

702
00:33:01,040 --> 00:33:03,280
Speaker 15: Eat it every day and you won't develop an allergy.

703
00:33:02,920 --> 00:33:05,200
Speaker 14: To Okay, good, I'd see. I hear these horror stories

704
00:33:05,240 --> 00:33:07,080
Speaker 14: and I get really freaked out. So that's good to know.

705
00:33:07,400 --> 00:33:09,680
Speaker 14: What is the biggest misconception you see spreading on social

706
00:33:09,720 --> 00:33:10,960
Speaker 14: media about food allergies?

707
00:33:11,280 --> 00:33:14,880
Speaker 16: Well, food allergies and food intolerances and food sensitivities. I think,

708
00:33:14,920 --> 00:33:17,080
Speaker 16: and people are like, oh, I must have a food allergy.

709
00:33:17,160 --> 00:33:18,600
Speaker 16: I need to go get a test to find out

710
00:33:18,600 --> 00:33:20,720
Speaker 16: what I'm allergic to. You'll know if you're allergic to

711
00:33:20,760 --> 00:33:22,440
Speaker 16: a food because your face is going to blow up.

712
00:33:22,440 --> 00:33:24,040
Speaker 16: I don't know if you've seen this movie Hitch with

713
00:33:24,080 --> 00:33:25,920
Speaker 16: Will Smith, where like he eat something and all of a sudden,

714
00:33:25,920 --> 00:33:28,160
Speaker 16: it's like his old face blows up his lips. Like,

715
00:33:28,200 --> 00:33:30,440
Speaker 16: that's what happens when you have an allergy, and it

716
00:33:30,480 --> 00:33:33,880
Speaker 16: happens within minutes to hours. A food sensitivity or a

717
00:33:33,920 --> 00:33:37,400
Speaker 16: food intolerance is much more nuanced, and there isn't a

718
00:33:37,440 --> 00:33:39,520
Speaker 16: good test to diagnose it. So I think the thing

719
00:33:39,560 --> 00:33:42,160
Speaker 16: that irks me the most are companies that are saying,

720
00:33:42,880 --> 00:33:45,920
Speaker 16: figure out what you're allergic to have this food intolerance test,

721
00:33:45,960 --> 00:33:49,479
Speaker 16: this food sensitivity test. There's no data to support that.

722
00:33:49,520 --> 00:33:52,440
Speaker 16: You're not going to suddenly uncover and intolerance or uncover

723
00:33:52,520 --> 00:33:54,760
Speaker 16: and allergy as it relates to allergy.

724
00:33:54,800 --> 00:33:56,720
Speaker 15: You would know, and so you eat something.

725
00:33:56,760 --> 00:33:58,960
Speaker 16: Every time you eat it, you have a reaction, then

726
00:33:58,960 --> 00:34:00,840
Speaker 16: you come into the doctor's or you can have a

727
00:34:00,840 --> 00:34:04,160
Speaker 16: bud test and then that is a confirmation of your allergy.

728
00:34:04,880 --> 00:34:06,880
Speaker 16: But there is no test where it's like we would

729
00:34:06,920 --> 00:34:09,160
Speaker 16: just order a whole food panel and then something is

730
00:34:09,200 --> 00:34:11,600
Speaker 16: positive and then we say, oh, you've been you know,

731
00:34:11,920 --> 00:34:14,000
Speaker 16: eating cheese your whole life. But this test just came

732
00:34:14,080 --> 00:34:15,200
Speaker 16: up positive you're allergic.

733
00:34:15,360 --> 00:34:16,719
Speaker 5: Okay, well I'll wait a minute though.

734
00:34:16,840 --> 00:34:21,200
Speaker 15: Then what about the ig ig eats money You heard

735
00:34:21,239 --> 00:34:21,520
Speaker 15: it here?

736
00:34:22,160 --> 00:34:25,480
Speaker 14: Hey, Finally I bring this up with like every guest

737
00:34:25,520 --> 00:34:27,400
Speaker 14: that I have because it's so frustrating to me. I

738
00:34:27,440 --> 00:34:29,600
Speaker 14: took this freaking test and you know, it was a

739
00:34:29,640 --> 00:34:32,080
Speaker 14: blood test or whatever, and it had fifteen things that

740
00:34:32,120 --> 00:34:34,080
Speaker 14: came up for me that were like food, ear tints

741
00:34:34,160 --> 00:34:37,239
Speaker 14: or whatever that causing inflammation that I needed to get

742
00:34:37,320 --> 00:34:37,560
Speaker 14: rid of.

743
00:34:37,600 --> 00:34:38,200
Speaker 15: Irrelevant.

744
00:34:38,280 --> 00:34:41,759
Speaker 14: Every single thing was what I eat every day. There

745
00:34:41,840 --> 00:34:44,000
Speaker 14: was nothing on there that I never eat. There was

746
00:34:44,040 --> 00:34:46,080
Speaker 14: no cheese or anything like that because I don't eat cheese.

747
00:34:46,200 --> 00:34:46,840
Speaker 15: I've never liked it.

748
00:34:46,840 --> 00:34:49,440
Speaker 16: Because that probably doesn't react well, so you avoid it.

749
00:34:49,480 --> 00:34:51,200
Speaker 15: And so you already kind of know, like.

750
00:34:51,160 --> 00:34:53,279
Speaker 14: Well, the only thing on this whole list because it

751
00:34:53,360 --> 00:34:55,479
Speaker 14: had Also it's interesting because I have an autoimmune disease,

752
00:34:55,480 --> 00:34:56,960
Speaker 14: so it's like the thing all the food that I'm

753
00:34:57,000 --> 00:34:58,920
Speaker 14: supposed to be eating, like cinnamon and garlic and things

754
00:34:58,960 --> 00:35:01,239
Speaker 14: that are really helpful for auto those were all coming

755
00:35:01,280 --> 00:35:02,880
Speaker 14: up for me because I eat them a lot, because

756
00:35:02,920 --> 00:35:05,840
Speaker 14: it tells I'm supposed to. Well, I don't ever feel

757
00:35:05,880 --> 00:35:07,879
Speaker 14: any type of way when I eat these foods at all.

758
00:35:08,239 --> 00:35:10,360
Speaker 14: The only thing, but I did what they said. I

759
00:35:10,400 --> 00:35:13,520
Speaker 14: eliminated everything. The only thing on that list that I

760
00:35:13,719 --> 00:35:15,600
Speaker 14: got rid of and then tried to reintroduce after like

761
00:35:15,600 --> 00:35:18,120
Speaker 14: three months was eggs, and immediately I threw up.

762
00:35:18,360 --> 00:35:20,400
Speaker 15: So I was like, maybe this one was legit. I

763
00:35:20,440 --> 00:35:20,839
Speaker 15: don't know.

764
00:35:20,960 --> 00:35:23,320
Speaker 14: But the whole test itself was very confusing to me,

765
00:35:23,560 --> 00:35:26,160
Speaker 14: and I felt like a prisoner trying to navigate what

766
00:35:26,239 --> 00:35:28,520
Speaker 14: to eat. You know, when you have to avoid garlic,

767
00:35:28,520 --> 00:35:30,399
Speaker 14: but I also can't have gluten and all these things.

768
00:35:30,480 --> 00:35:31,960
Speaker 14: It was awful, awful.

769
00:35:32,200 --> 00:35:34,920
Speaker 16: These tests are a waste of money. They are not

770
00:35:35,080 --> 00:35:38,200
Speaker 16: relevant if you have an autoimmune disease. In particular, your

771
00:35:38,200 --> 00:35:40,279
Speaker 16: body just makes random an of bodies. That's just what

772
00:35:40,320 --> 00:35:44,439
Speaker 16: it does. It's insignificance. It's called a sensitization. We don't

773
00:35:44,520 --> 00:35:47,960
Speaker 16: understand the clinical relevance of it. The best approach for

774
00:35:48,040 --> 00:35:51,520
Speaker 16: somebody who has a food intolerance or a food sensitivity

775
00:35:51,800 --> 00:35:54,200
Speaker 16: is to keep a food diary and say, here are

776
00:35:54,200 --> 00:35:55,800
Speaker 16: the things that I'm meaning for a two week period

777
00:35:55,840 --> 00:35:57,839
Speaker 16: of time, and here's how I'm feeling, and then don't

778
00:35:57,840 --> 00:36:00,000
Speaker 16: even try to interpret it, just document it.

779
00:36:00,080 --> 00:36:01,280
Speaker 15: You can even use one of those.

780
00:36:01,160 --> 00:36:02,840
Speaker 16: Apps where you take pictures of your food that's more

781
00:36:02,880 --> 00:36:04,960
Speaker 16: of like a calorie counter, just to kind of track

782
00:36:05,280 --> 00:36:07,400
Speaker 16: what it is that you're putting into your body. And

783
00:36:07,440 --> 00:36:09,319
Speaker 16: then like, oh, this day I felt bloated, this day

784
00:36:09,320 --> 00:36:11,080
Speaker 16: I had headaches to say, or whatever, Like you're just

785
00:36:11,160 --> 00:36:13,960
Speaker 16: kind of, you know, tracking your symptoms. Then you work

786
00:36:14,000 --> 00:36:16,360
Speaker 16: with someone who can put those two things together to say, Okay,

787
00:36:16,400 --> 00:36:18,640
Speaker 16: now we're going to come up with an elimination diet

788
00:36:18,920 --> 00:36:21,480
Speaker 16: based off of the most likely things, right. So that's

789
00:36:21,520 --> 00:36:24,279
Speaker 16: an approach. Another approach is to just say, look, I

790
00:36:24,320 --> 00:36:26,760
Speaker 16: will tell you the top ten foods that are irritant

791
00:36:26,800 --> 00:36:29,359
Speaker 16: that most people are reactive to, and let's cut out

792
00:36:29,360 --> 00:36:31,000
Speaker 16: those things. So egg would have been on my list,

793
00:36:31,000 --> 00:36:32,600
Speaker 16: so I would have been on my list. We would

794
00:36:32,600 --> 00:36:33,080
Speaker 16: have been on my.

795
00:36:33,040 --> 00:36:34,560
Speaker 15: List right right.

796
00:36:34,640 --> 00:36:37,239
Speaker 16: So we would do an elimination diet. We would choose

797
00:36:37,280 --> 00:36:39,799
Speaker 16: those nine things that are the most likely things. We'd

798
00:36:39,800 --> 00:36:42,520
Speaker 16: see how you feel, and the goal is to have

799
00:36:42,560 --> 00:36:45,680
Speaker 16: you feel at your baseline, at your optimal, like you know,

800
00:36:45,840 --> 00:36:48,719
Speaker 16: how you feeling your best, and then we slowly reintroduce

801
00:36:48,800 --> 00:36:50,800
Speaker 16: those foods. So we would do all of those things

802
00:36:51,160 --> 00:36:53,880
Speaker 16: and saved you three hundred dollars and not have you

803
00:36:53,920 --> 00:36:54,680
Speaker 16: gone through that test.

804
00:36:54,680 --> 00:36:55,800
Speaker 15: That's just super confusing.

805
00:37:01,080 --> 00:37:05,120
Speaker 11: Gotta admire what you've been able to do, not to weaponize,

806
00:37:05,200 --> 00:37:08,120
Speaker 11: but to organize on these college campuses.

807
00:37:07,800 --> 00:37:11,280
Speaker 12: At Turning Point USA. We've spent thirteen years building the machine,

808
00:37:11,280 --> 00:37:14,160
Speaker 12: and last year we sought payoff. Our grassroots army is

809
00:37:14,160 --> 00:37:16,680
Speaker 12: making a real difference. Help us keep the momentum going.

810
00:37:16,880 --> 00:37:21,359
Speaker 12: Donate today and keep tp USA strong on campuses across America,

811
00:37:21,560 --> 00:37:21,879
Speaker 12: and for.

812
00:37:21,880 --> 00:37:24,200
Speaker 10: A gift of any amount, you'll receive your big Gove

813
00:37:24,280 --> 00:37:28,160
Speaker 10: sucks cooler claim yours today.

814
00:37:32,960 --> 00:37:37,000
Speaker 11: Gotta admire what you've been able to do, not to weaponize,

815
00:37:37,080 --> 00:37:40,000
Speaker 11: but to organize on these college campuses.

816
00:37:39,680 --> 00:37:43,120
Speaker 12: At Turning Point USA. We've spent thirteen years building the machine,

817
00:37:43,160 --> 00:37:46,040
Speaker 12: and last year we sought payoff. Our grassroots army is

818
00:37:46,040 --> 00:37:48,560
Speaker 12: making a real difference. Help us keep the momentum going.

819
00:37:48,760 --> 00:37:53,960
Speaker 12: Donate today and keep tp USA strong on campuses across America.

820
00:37:53,440 --> 00:37:55,600
Speaker 10: And for a gift of any amount, you'll receive your

821
00:37:55,600 --> 00:38:00,120
Speaker 10: big Gove sucks cooler claim yours today.

822
00:38:01,600 --> 00:38:04,040
Speaker 1: Welcome back to Turning Point Tonight. We're together. We are

823
00:38:04,120 --> 00:38:06,919
Speaker 1: charting the course of America's cultural comeback. TPUSA is where

824
00:38:06,920 --> 00:38:09,680
Speaker 1: you can go to donate any amount get a free cooler.

825
00:38:09,719 --> 00:38:12,839
Speaker 1: Like I've been saying time and time again, if you're

826
00:38:12,840 --> 00:38:15,279
Speaker 1: inviting me over to anything and you have warm drinks,

827
00:38:15,320 --> 00:38:17,200
Speaker 1: you don't have a cooler, and I'm not coming again,

828
00:38:17,200 --> 00:38:19,640
Speaker 1: I'm not probably not coming in general, but I'm definitely

829
00:38:19,680 --> 00:38:22,239
Speaker 1: not there. If you're not, you don't have drinks in

830
00:38:22,239 --> 00:38:24,800
Speaker 1: a cooler, So go get your free TPUSA cooler tpusa

831
00:38:24,840 --> 00:38:27,319
Speaker 1: dot com. Donation of any amount get you a cooler. Also,

832
00:38:27,320 --> 00:38:29,040
Speaker 1: you can email the show anytime you want TBT at

833
00:38:29,080 --> 00:38:30,320
Speaker 1: tpusa dot com.

834
00:38:32,000 --> 00:38:33,239
Speaker 2: The second you know, I gotta get.

835
00:38:33,160 --> 00:38:35,279
Speaker 1: Right to the videos because the second video is a

836
00:38:35,320 --> 00:38:38,920
Speaker 1: response that somebody sent to our Mermaids story the other

837
00:38:39,000 --> 00:38:39,880
Speaker 1: day was that yesterday.

838
00:38:39,880 --> 00:38:41,080
Speaker 2: I'm not even sure when that was.

839
00:38:41,400 --> 00:38:41,520
Speaker 13: Uh.

840
00:38:41,640 --> 00:38:44,759
Speaker 1: When you guys are funny tpt at tpusa dot com.

841
00:38:44,800 --> 00:38:47,160
Speaker 1: Email whether you agree or whether you're wrong. We love

842
00:38:47,200 --> 00:38:48,799
Speaker 1: to see him. Let's go to this for Okay, so

843
00:38:48,960 --> 00:38:50,719
Speaker 1: we haven't done this in a while. I guess technically

844
00:38:50,719 --> 00:38:52,759
Speaker 1: this is a throwdown Thursday. I'm not even sure.

845
00:38:57,120 --> 00:38:57,839
Speaker 2: Apparently we do.

846
00:38:57,880 --> 00:39:01,800
Speaker 1: We have the theme music already and cueued up. Thank you, producer, Glenn.

847
00:39:02,160 --> 00:39:04,360
Speaker 1: Go to clip one thrown out Thursday. This is a

848
00:39:04,480 --> 00:39:06,080
Speaker 1: this is one. This is an argument that it's made

849
00:39:06,200 --> 00:39:08,640
Speaker 1: so many times at these events that Charlie goes to

850
00:39:08,680 --> 00:39:09,160
Speaker 1: on campus.

851
00:39:09,160 --> 00:39:09,520
Speaker 2: Watch this.

852
00:39:09,880 --> 00:39:13,400
Speaker 6: I just want to ask, do you feel proud of

853
00:39:13,440 --> 00:39:17,960
Speaker 6: yourself for debating college kids who are unprepared to speak

854
00:39:18,000 --> 00:39:19,600
Speaker 6: in front of an audience like yourself?

855
00:39:21,040 --> 00:39:23,920
Speaker 12: Hold on, hold on, hold on, you're thirty years old.

856
00:39:24,160 --> 00:39:28,239
Speaker 12: We can agree you're thirty years old, right. Do you

857
00:39:28,239 --> 00:39:29,920
Speaker 12: think that's a little bit silly? How is it any

858
00:39:29,920 --> 00:39:32,880
Speaker 12: different than a professor talking to you than a professor

859
00:39:32,920 --> 00:39:37,000
Speaker 12: talking to you? Who are you well important enough for

860
00:39:37,040 --> 00:39:38,440
Speaker 12: you to come up to a microphone?

861
00:39:39,239 --> 00:39:41,320
Speaker 2: Good argument? Dohah, who wrerious?

862
00:39:41,760 --> 00:39:44,920
Speaker 1: There's a massive crowd here. If you don't know, you

863
00:39:44,960 --> 00:39:47,480
Speaker 1: don't know, go google it or something. But the other thing,

864
00:39:47,560 --> 00:39:50,080
Speaker 1: I think that Charlie makes his argument sometimes but obviously

865
00:39:50,120 --> 00:39:52,640
Speaker 1: can't get in through every time. Okay, so these people

866
00:39:52,719 --> 00:39:56,520
Speaker 1: vote students on college campus. Everybody there is a voting

867
00:39:56,600 --> 00:39:59,040
Speaker 1: age and they vote. So if you're gonna make the

868
00:39:59,080 --> 00:40:02,600
Speaker 1: case of well, they're like, okay, so what are you

869
00:40:02,760 --> 00:40:05,680
Speaker 1: saying that if you're older than somebody who happens to

870
00:40:05,719 --> 00:40:07,520
Speaker 1: have a say in the way the country is run,

871
00:40:07,680 --> 00:40:09,920
Speaker 1: then you don't get to talk to them. Okay, if

872
00:40:09,960 --> 00:40:13,800
Speaker 1: you can promise me that no college students, especially libs,

873
00:40:14,040 --> 00:40:17,200
Speaker 1: will ever vote fine during point doesn't need to be

874
00:40:17,200 --> 00:40:20,239
Speaker 1: on college campuses anymore. But until that happens, there is

875
00:40:20,280 --> 00:40:24,040
Speaker 1: a need and it's thankfully being filled by one of

876
00:40:24,040 --> 00:40:28,120
Speaker 1: the smartest guys that I know by far. And that's

877
00:40:28,120 --> 00:40:30,000
Speaker 1: not to blow and smoke up Charlie's but that's just

878
00:40:30,040 --> 00:40:34,080
Speaker 1: an objective truth. So the other day, this is a

879
00:40:34,080 --> 00:40:36,240
Speaker 1: hard transition here. The other day we did a story

880
00:40:36,239 --> 00:40:39,360
Speaker 1: about people who are mermaiding, which is dressing up as

881
00:40:39,440 --> 00:40:42,160
Speaker 1: mermaids and meeting in pools and going into the pool

882
00:40:42,160 --> 00:40:47,480
Speaker 1: as mermaids in a pod. I think this video, this

883
00:40:47,520 --> 00:40:51,200
Speaker 1: woman is making fun of that. But still this is

884
00:40:51,280 --> 00:40:53,959
Speaker 1: funny in and of itself. Again, somebody sent this along

885
00:40:54,040 --> 00:40:56,000
Speaker 1: after we did a story about mermaiding.

886
00:40:56,040 --> 00:40:57,800
Speaker 2: There was reported in the Washington Post.

887
00:40:58,320 --> 00:41:00,680
Speaker 7: Watch this, Well, I've ever walked it to be as

888
00:41:00,719 --> 00:41:01,360
Speaker 7: a mermaid.

889
00:41:06,239 --> 00:41:08,440
Speaker 2: You're not in that right, all right?

890
00:41:09,400 --> 00:41:11,320
Speaker 13: I think I'm just gonna go for it.

891
00:41:18,120 --> 00:41:19,200
Speaker 8: God, I'm I'm drowning.

892
00:41:19,239 --> 00:41:25,040
Speaker 13: You're right, I told you not in that right.

893
00:41:28,640 --> 00:41:32,800
Speaker 2: Didn't die? I think I think.

894
00:41:32,640 --> 00:41:35,359
Speaker 1: She's making fun of that, which, you know, congratulations, that

895
00:41:35,480 --> 00:41:38,640
Speaker 1: was very funny, but also don't try that at home, kids,

896
00:41:38,640 --> 00:41:42,719
Speaker 1: That's not a great way to spend your time mermaiding.

897
00:41:44,000 --> 00:41:46,040
Speaker 2: Wow, I he's fun.

898
00:41:46,400 --> 00:41:46,880
Speaker 4: Why is that?

899
00:41:47,080 --> 00:41:48,600
Speaker 2: Why is that video even exists?

900
00:41:48,640 --> 00:41:51,720
Speaker 1: Why is that a big enough story that that lady

901
00:41:52,160 --> 00:41:54,239
Speaker 1: thought I'm gonna make fun of this? At least I

902
00:41:54,280 --> 00:41:56,600
Speaker 1: hope she was making fun of it. I really, really,

903
00:41:56,680 --> 00:42:00,799
Speaker 1: honest to God, hope that that wasn't serious. But man,

904
00:42:00,880 --> 00:42:03,799
Speaker 1: the internet is such a wild place. That's gonna do

905
00:42:03,800 --> 00:42:05,080
Speaker 1: it for us here a Turning Points. And I really

906
00:42:05,080 --> 00:42:07,879
Speaker 1: appreciate you taking the time and tuning in. Charlie Kirk

907
00:42:07,960 --> 00:42:10,960
Speaker 1: is gonna take us out in a fantastic interview from

908
00:42:11,000 --> 00:42:14,040
Speaker 1: the SaaS. Don't go away, We'll be sorry. Don't go away, obviously,

909
00:42:14,080 --> 00:42:15,759
Speaker 1: don't go away, but we'll be right back. But that's

910
00:42:15,760 --> 00:42:17,759
Speaker 1: gonna do it for us, specifically here at Turning Points.

911
00:42:17,760 --> 00:42:19,279
Speaker 1: And I will see tomorrow, same time, same place.

912
00:42:19,320 --> 00:42:30,320
Speaker 17: God bless America.

913
00:42:30,880 --> 00:42:32,200
Speaker 7: Remember I was, I was.

914
00:42:32,840 --> 00:42:35,360
Speaker 13: I knew Trump before he ran, I liked him, I

915
00:42:35,920 --> 00:42:38,439
Speaker 13: did not support him when he ran, and I'd say

916
00:42:38,440 --> 00:42:41,760
Speaker 13: twenty fifteen, but a lot of it was a coping

917
00:42:41,800 --> 00:42:45,560
Speaker 13: thing it was a personal issue with me and I

918
00:42:45,640 --> 00:42:49,360
Speaker 13: and like, I suddenly realized what is going on here?

919
00:42:49,719 --> 00:42:53,280
Speaker 13: Of a I had a sunk cost that i'd already

920
00:42:54,200 --> 00:42:56,879
Speaker 13: When you express criticism for something over and over again

921
00:42:56,920 --> 00:42:59,319
Speaker 13: and you realize you might be wrong, you don't want

922
00:42:59,360 --> 00:43:01,920
Speaker 13: to let go. It's the sunk costs. It's like being

923
00:43:01,920 --> 00:43:04,879
Speaker 13: in a bad marriage or a bad relationship. You think

924
00:43:04,920 --> 00:43:06,880
Speaker 13: about all that effort you put into it. So that

925
00:43:07,000 --> 00:43:09,799
Speaker 13: made it hard to say. But what was great and

926
00:43:09,840 --> 00:43:13,200
Speaker 13: what was wonderful is that when he won, I said, great,

927
00:43:13,360 --> 00:43:14,400
Speaker 13: he's my president.

928
00:43:14,680 --> 00:43:18,360
Speaker 7: Now I could start clean. And the reason why.

929
00:43:18,239 --> 00:43:21,439
Speaker 13: I was having issues with him was I fell into

930
00:43:21,440 --> 00:43:26,480
Speaker 13: the trap of taking him literally paying attention to words

931
00:43:26,520 --> 00:43:29,040
Speaker 13: and not deeds. And then when he became president, it

932
00:43:29,160 --> 00:43:31,680
Speaker 13: was like, and I started using that as a mantra

933
00:43:31,680 --> 00:43:35,759
Speaker 13: on my show, it's deeds not words. You know, it's

934
00:43:35,760 --> 00:43:38,320
Speaker 13: not about his tweets, It's about is your life getting better?

935
00:43:38,360 --> 00:43:42,719
Speaker 13: And that's what like, completely that framework changed me, and

936
00:43:42,800 --> 00:43:45,359
Speaker 13: it made me see that I had been like.

937
00:43:46,800 --> 00:43:49,920
Speaker 7: Obsessed with something so stupid that I turned out ended up.

938
00:43:50,040 --> 00:43:52,200
Speaker 7: I really liked which are his tweets?

939
00:43:53,239 --> 00:43:54,080
Speaker 13: And so.

940
00:43:55,520 --> 00:43:58,319
Speaker 12: The Trump phenomenon, I want to I want to touch

941
00:43:58,320 --> 00:44:00,720
Speaker 12: on two final things in our time remaining. The Democrats

942
00:44:00,760 --> 00:44:02,200
Speaker 12: are trying to figure out what they're doing. I mean, look,

943
00:44:02,239 --> 00:44:04,880
Speaker 12: the Democrat, Donald Trump controls the Democrat platform.

944
00:44:04,880 --> 00:44:05,719
Speaker 8: He just has to do something.

945
00:44:05,719 --> 00:44:08,080
Speaker 12: They do the opposite, right, So the Democrat platform is

946
00:44:08,120 --> 00:44:09,479
Speaker 12: completely controlled by Donald Trump.

947
00:44:09,560 --> 00:44:10,759
Speaker 7: Yes, exactly, No, they will do that.

948
00:44:10,920 --> 00:44:14,160
Speaker 13: They will do if he says, if he told the Democrats,

949
00:44:14,280 --> 00:44:19,719
Speaker 13: don't punch yourself in the face, they will start smacking

950
00:44:19,920 --> 00:44:20,719
Speaker 13: each They'll.

951
00:44:20,600 --> 00:44:22,279
Speaker 7: Just break their own noses.

952
00:44:22,840 --> 00:44:26,600
Speaker 13: You know what it is, it's the he would you

953
00:44:26,680 --> 00:44:30,719
Speaker 13: choose common sense as your higher It's it's called the

954
00:44:30,800 --> 00:44:31,640
Speaker 13: high ground maneuver.

955
00:44:32,960 --> 00:44:35,240
Speaker 7: What can you Let's say your.

956
00:44:35,239 --> 00:44:39,719
Speaker 13: Opponent chooses the path of common sense, what do you

957
00:44:39,800 --> 00:44:40,879
Speaker 13: choose to oppose it.

958
00:44:42,640 --> 00:44:45,040
Speaker 7: Not common sense? That's what they're doing.

959
00:44:45,200 --> 00:44:47,800
Speaker 13: They do because there's nothing If you choose the common

960
00:44:47,800 --> 00:44:51,800
Speaker 13: sense is the higher ground, there's nothing around it to

961
00:44:53,040 --> 00:44:56,880
Speaker 13: stand on. So you're stuck's doing really stupid things. You're

962
00:44:56,920 --> 00:45:00,360
Speaker 13: on every eighty or ninety twenty ten issue.

963
00:45:00,520 --> 00:45:04,760
Speaker 7: You're choosing the bad guy. You're choosing the Maryland dad.

964
00:45:05,400 --> 00:45:10,520
Speaker 13: You know it's you're choosing gangs, You're choosing uh pot farmers.

965
00:45:11,040 --> 00:45:13,719
Speaker 7: Because you can't You can't match.

966
00:45:13,480 --> 00:45:16,080
Speaker 8: An employee child labor, Yes, so, which I'm for.

967
00:45:16,239 --> 00:45:19,560
Speaker 7: By the way, those kids need to get strong, you

968
00:45:19,600 --> 00:45:21,520
Speaker 7: know what I'm saying. It's underrated.

969
00:45:22,520 --> 00:45:28,080
Speaker 13: Their little hands are really good with fixing watches. Clip that,

970
00:45:28,160 --> 00:45:31,920
Speaker 13: please and put that up there, Greg, Greg endorses child labor.

971
00:45:33,280 --> 00:45:36,480
Speaker 12: Yes, Greg, you will get more clips from media matters

972
00:45:36,480 --> 00:45:39,320
Speaker 12: than me in this conversation. So oh, okay, they're clipping

973
00:45:39,560 --> 00:45:42,280
Speaker 12: so so, Greg, But you live in New York City,

974
00:45:42,400 --> 00:45:46,359
Speaker 12: that is correct, and you are witnessing the rise of

975
00:45:46,440 --> 00:45:50,239
Speaker 12: an attempt by the Democrats to figure themselves out.

976
00:45:50,360 --> 00:45:52,760
Speaker 8: Yes, I'm obviously talking about Andrew Cuomo.

977
00:45:53,000 --> 00:45:59,399
Speaker 13: Yeah, but so mom, Donnie, Yeah, so.

978
00:46:03,280 --> 00:46:05,239
Speaker 7: God, you guys just misunderstand the guy.

979
00:46:06,080 --> 00:46:06,279
Speaker 8: You know.

980
00:46:06,320 --> 00:46:08,239
Speaker 13: That's what That's what the Dems are trying to do now,

981
00:46:08,480 --> 00:46:11,359
Speaker 13: uh with Whenever a new socialist comes up, they act

982
00:46:11,440 --> 00:46:13,040
Speaker 13: like it's a It's like.

983
00:46:13,040 --> 00:46:15,480
Speaker 7: Oh no, this is a better version. There's no such

984
00:46:15,560 --> 00:46:16,520
Speaker 7: thing as a better version.

985
00:46:16,640 --> 00:46:19,279
Speaker 12: Like it's like chat GPT four point Oh, yes, it's

986
00:46:19,320 --> 00:46:20,440
Speaker 12: gonna keep getting better.

987
00:46:20,760 --> 00:46:23,439
Speaker 13: Yeah, it's a it's a it's learning. That's not ship,

988
00:46:23,600 --> 00:46:30,560
Speaker 13: that's ship four point. Oh it's still shit. I gotta

989
00:46:30,680 --> 00:46:33,920
Speaker 13: use that for my show. They'll just have to bleep

990
00:46:33,960 --> 00:46:37,640
Speaker 13: it on cable. Yes, so they'll probably bleep it, but

991
00:46:37,680 --> 00:46:41,120
Speaker 13: they always they always like the issue with socialism is

992
00:46:41,160 --> 00:46:43,520
Speaker 13: they always believe that it's you know, it just hasn't

993
00:46:43,560 --> 00:46:46,640
Speaker 13: been perfected. Well, that was the whole point of capitalism.

994
00:46:46,800 --> 00:46:50,480
Speaker 13: Capitalism doesn't have to be perfect to work. The only

995
00:46:50,520 --> 00:46:53,600
Speaker 13: way socialism can work is if it's perfect, and that's

996
00:46:53,680 --> 00:46:54,560
Speaker 13: not possible.

997
00:46:55,000 --> 00:46:55,960
Speaker 7: It's not possible.

998
00:46:56,160 --> 00:46:58,959
Speaker 13: The thing that kills me is they keep talking about

999
00:46:59,080 --> 00:47:02,160
Speaker 13: you know, he's really hit the court on affordability. You

1000
00:47:02,200 --> 00:47:07,160
Speaker 13: cannot find one example in history where socialism has made

1001
00:47:07,320 --> 00:47:11,840
Speaker 13: anything affordable. It's only made things awful and good things

1002
00:47:11,880 --> 00:47:14,960
Speaker 13: more scarce and therefore more expensive.

1003
00:47:15,560 --> 00:47:19,160
Speaker 12: So well, on his grocery store plan to his crowd,

1004
00:47:19,440 --> 00:47:21,600
Speaker 12: I love that. I will say New Yorkers will lose

1005
00:47:21,600 --> 00:47:24,480
Speaker 12: fifteen pounds in like six months on his grocery store plan.

1006
00:47:24,360 --> 00:47:25,320
Speaker 8: I mean there'll be no food.

1007
00:47:26,000 --> 00:47:28,120
Speaker 13: The only thing that can make the Department for the

1008
00:47:28,200 --> 00:47:30,640
Speaker 13: Motor Vehicles worse is if they sold food.

1009
00:47:32,400 --> 00:47:34,680
Speaker 12: I mean, you get your number, wait for two hours

1010
00:47:34,680 --> 00:47:35,360
Speaker 12: for bananas.

1011
00:47:35,440 --> 00:47:37,279
Speaker 13: I mean, I'm sure there are people here from like

1012
00:47:37,320 --> 00:47:40,280
Speaker 13: Pennsylvania where you have ABC liquor stores.

1013
00:47:40,320 --> 00:47:42,120
Speaker 7: I never knew that growing up in the West Coast.

1014
00:47:42,120 --> 00:47:44,920
Speaker 13: Then I moved to Allentown and I never seen a

1015
00:47:45,000 --> 00:47:48,000
Speaker 13: government run liquor store, and they are depressing.

1016
00:47:48,800 --> 00:47:49,880
Speaker 7: You would quit drinking.

1017
00:47:50,320 --> 00:47:52,600
Speaker 12: But do you know what I do encounter in New

1018
00:47:52,680 --> 00:47:56,520
Speaker 12: Jersey is basically pseudo run gas stations. You have to

1019
00:47:56,520 --> 00:47:57,759
Speaker 12: an attendant pump your gat.

1020
00:47:57,880 --> 00:48:01,600
Speaker 8: Oh yes, what is that. There's like the oldest regulation.

1021
00:48:01,600 --> 00:48:03,359
Speaker 12: You gotta wait for the guy and oh, he's using

1022
00:48:03,400 --> 00:48:06,359
Speaker 12: the restroom, like I have to go. He's like, it's

1023
00:48:06,400 --> 00:48:06,880
Speaker 12: that lost.

1024
00:48:07,000 --> 00:48:11,400
Speaker 13: This is why I drive straight through Jersey quickly and quickly.

1025
00:48:11,880 --> 00:48:12,080
Speaker 8: Oh.

1026
00:48:12,160 --> 00:48:13,960
Speaker 13: I was gonna say another thing about Oh, the one

1027
00:48:13,960 --> 00:48:17,200
Speaker 13: thing people have to under zo ran. The one thing

1028
00:48:17,239 --> 00:48:20,400
Speaker 13: that people are overlooking is that he says police officers

1029
00:48:20,560 --> 00:48:23,600
Speaker 13: should not respond to crime, that they should send people

1030
00:48:23,719 --> 00:48:26,160
Speaker 13: who are trained in it. So when you have a

1031
00:48:26,200 --> 00:48:29,280
Speaker 13: subway maniac who throws a woman in front of a train,

1032
00:48:29,760 --> 00:48:31,760
Speaker 13: or one setting on fire, you shouldn't send the police,

1033
00:48:31,760 --> 00:48:35,520
Speaker 13: you should send a social worker. I think that journalists

1034
00:48:35,560 --> 00:48:38,480
Speaker 13: should go find these social workers he's talking about.

1035
00:48:38,960 --> 00:48:39,800
Speaker 7: None exists.

1036
00:48:39,960 --> 00:48:42,839
Speaker 13: There's no social worker, no matter how liberal they are,

1037
00:48:43,040 --> 00:48:46,200
Speaker 13: will ever want to go down to the subway and

1038
00:48:46,320 --> 00:48:51,239
Speaker 13: address a maniac and again it's another case of a

1039
00:48:51,320 --> 00:48:55,480
Speaker 13: left winger throwing women literally at this case under the bus.

1040
00:48:57,480 --> 00:48:58,719
Speaker 8: Under the subway, under this.

1041
00:48:58,760 --> 00:49:01,799
Speaker 12: So Greg and a couple of minutes we have there's

1042
00:49:01,800 --> 00:49:02,279
Speaker 12: two there.

1043
00:49:02,400 --> 00:49:03,560
Speaker 8: I do want to hit one of them. I want

1044
00:49:03,560 --> 00:49:04,760
Speaker 8: to hit two things quick.

1045
00:49:05,000 --> 00:49:06,640
Speaker 12: I want you to give kind of a send off

1046
00:49:06,640 --> 00:49:08,000
Speaker 12: for the college students at the end.

1047
00:49:08,080 --> 00:49:10,240
Speaker 8: But first, you're a new dad.

1048
00:49:10,640 --> 00:49:15,600
Speaker 7: Yes, yeah, and.

1049
00:49:16,600 --> 00:49:19,760
Speaker 12: I was joking backstage he did have his first kid

1050
00:49:19,880 --> 00:49:21,480
Speaker 12: finally before Social Security hit.

1051
00:49:21,680 --> 00:49:25,040
Speaker 13: Yes, that was my goal. So I had my I

1052
00:49:25,080 --> 00:49:26,880
Speaker 13: have a baby girl seven months old.

1053
00:49:33,960 --> 00:49:36,920
Speaker 11: Got to admire what you've been able to do, not

1054
00:49:36,960 --> 00:49:40,840
Speaker 11: to weaponize, but to organize on these college campuses.

1055
00:49:40,640 --> 00:49:44,120
Speaker 12: At Turning Point USA. We spent thirteen years building the machine,

1056
00:49:44,160 --> 00:49:47,000
Speaker 12: and last year we sought payoff. Our grassroots army is

1057
00:49:47,000 --> 00:49:49,520
Speaker 12: making a real difference. Help us keep the momentum going.

1058
00:49:49,719 --> 00:49:54,239
Speaker 12: Donate today and keep keep USA strong on campuses across America,

1059
00:49:54,400 --> 00:49:54,680
Speaker 12: and for

1060
00:49:54,719 --> 00:49:57,000
Speaker 10: A gift of any amount, you'll receive your big Gov

1061
00:49:57,120 --> 00:49:58,920
Speaker 10: Sucks Cooler claim yours today