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Speaker 1: The ultra right wing maga extreme Supreme Court goes against

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Speaker 1: something conservatives probably would have liked. Also, is Tinder the

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Speaker 1: new hope for gen Z. Interestingly enough, the Hookup Back

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Speaker 1: app might be changing its direction at also sixty minutes

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Speaker 1: trying to moderate shows that well they can't moderate, at

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Speaker 1: least as evidence by one of their main hosts at

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Speaker 1: a graduation speech over the weekend. All that more coming

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Speaker 1: up on this episode of Turning Point Tonight. Thanks so

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Speaker 1: much for tuning in. My name is Jobob. Together we

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Speaker 1: are charting the course of America's cultural comeback. This is

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Speaker 1: Turning Point Tonight. Now, before we get to those stories

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Speaker 1: in our fantastic panel, we have to talk about a

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Speaker 1: thing that isn't happening according to the Libs, but actually

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Speaker 1: is totally one hundred percent happening. The Daily Wire had

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Speaker 1: an investigative journalist I believe his name is Spencer Linquist

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Speaker 1: talking about mortgage come companies giving mortgage loans to illegal immigrants.

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Speaker 1: But of course that's not happening, said the Libs, and

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Speaker 1: Trump's executive order saying, hey, the Federal Housing Association can't

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Speaker 1: back loans given to illegal mortgage Well, it's not happening,

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Speaker 1: it's not happening. Turns out it is. According to this

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Speaker 1: report from The Daily Wire, there is an entire industry

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Speaker 1: built around giving mortgages to illegal immigrants. Part of the

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Speaker 1: tactic that they use that Americans don't have the ability

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Speaker 1: to get around is the fact that you don't have

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Speaker 1: to have an identification. You don't have to have your

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Speaker 1: Social Security number, things that we would have to do. Instead,

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Speaker 1: you have to only have the individual taxpayer ID number,

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Speaker 1: the itin number, and show that to the mortgage company

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Speaker 1: that targets illegal immigrants. Of course, that is what's happening.

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Speaker 1: A company called Prisma, I think I'm pronouncing that right

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Speaker 1: out of Connecticut specifically and explicitly targets illegal immigrants, saying, hey,

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Speaker 1: here's how you get through the process, here's what we

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Speaker 1: need from you, and by the way, don't show any

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Speaker 1: sort of identification that may get you deported lest we

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Speaker 1: lose the investment on your mortgage. Now, here's the other

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Speaker 1: thing that I think is fascinating about this. While this

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Speaker 1: is entirely unfair to Americans who not only have to

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Speaker 1: compete with each other to get houses, but also now

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Speaker 1: competing with illegal immigrants who shouldn't have mortgages to begin with.

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Speaker 1: It Also, and here's a curve ball, isn't fair to

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Speaker 1: the legal immigrants getting the mortgages, Or at least that's

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Speaker 1: the way that I see it. President Trump issued in

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Speaker 1: executive order that bars illegal immigrants from getting federally backed loans.

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Speaker 1: And the problem with that is, well, federally back loans

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Speaker 1: come with some protections, and if you don't have those protections, one,

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Speaker 1: the rates are substantially higher for these loans written to

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Speaker 1: these illegal immigrants. And if the rates are higher there

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Speaker 1: are no protections, well, the chances of them defaulting on

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Speaker 1: those loans are even higher than the normal default rate,

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Speaker 1: which means that illegal immigrants get kicked out on their butts.

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Speaker 1: Americans don't get the opportunity to compete because the illegal

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Speaker 1: immigrants are also competing in that space, and the only

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Speaker 1: person that wins, the only entity that wins, is the

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Speaker 1: companies targeting illegals for.

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Speaker 2: Their money.

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Speaker 1: By means of mortgages. In other words, nobody benefits from this,

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Speaker 1: and yet it is still happening to a degree that

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Speaker 1: I'm sure many Americans would be uncomfortable with. And but

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Speaker 1: of course the libs are saying that that's not happening

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Speaker 1: at all. Here to comment on that and so much

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Speaker 1: more is Media Research Centers. Justin Murray and the TMB

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Speaker 1: Problems host to Tiffany Brandon. Thanks guys for joining us,

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Speaker 1: Really appreciate you taking the.

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Speaker 3: Time, Thanks for having us justin.

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Speaker 1: You know, we see so often that things that this

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Speaker 1: is not happening. There are no illegals getting mortgages. All

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Speaker 1: the lib outlets say well, this is not a problem

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Speaker 1: that needs to get solved. It clearly is. And not

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Speaker 1: only is it a problem, it seems like there's a

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Speaker 1: there's a whole industry built on top of this. Can

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Speaker 1: you kind of speak to the idea that at this

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Speaker 1: point nobody believes when the Lib media says, well, it's

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Speaker 1: not happening, so you don't need to fix the problem.

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Speaker 4: No matter how obvious it is that they're lying to us.

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Speaker 4: The feasibility logistics and just plain logic.

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Speaker 3: It's for all foreign concept to the left.

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Speaker 4: They feel like they're morally, morally superior, so all they

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Speaker 4: have to do is just hide in plain sight.

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Speaker 3: It's like a three year old playing hide and seek.

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Speaker 3: He's hiding and plain sight.

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Speaker 4: Expecting you to just you know, look over him and

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Speaker 4: pretend he's not there, and just pretend that the Left

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Speaker 4: isn't corrupt. But it's really all part of their plan.

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Speaker 4: The leftist planned to make this entire country a public toilet.

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Speaker 4: Everyone's supposed to be forced to live next to Casa

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Speaker 4: del Ms thirteen. They want Americans to suffer and be

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Speaker 4: treated life where second class citizens in the name of

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Speaker 4: this moral superiority that the Left has to go on.

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Speaker 1: Yeah, it's crazy to think that they think this is

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Speaker 1: actually beneficial, Tiffany Americans who are trying to apply for

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Speaker 1: a mortgage to buy the same house have to jump

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Speaker 1: through hoop after hoop and all of these stringent rules.

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Speaker 1: You know, at a certain point, does it make sense

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Speaker 1: for Americans to say, Hey, I'm an illegal, give me

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Speaker 1: a much easier mortgage to obtain, or do we just,

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Speaker 1: I don't know, try to at some point make it

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Speaker 1: against the rules to target specifically, Hey, this is for

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Speaker 1: illegal immigrants. Here's how to avoid all the processes. Do

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Speaker 1: we make that illegal somehow does Congress get involved?

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Speaker 5: Well to your point right there, you know, forty six

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Speaker 5: percent of Americans have been denied mortgages in the last year.

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Speaker 5: Now twenty five percent, actually more than that have been

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Speaker 5: denied refinance mortgage to refinance their home. Now, these are

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Speaker 5: Americans who are good, tax paying citizens, have been born here,

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Speaker 5: at work here, and have lives here. Meanwhile, what they're

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Speaker 5: doing to these illegals by the essentially you know, marketing

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Speaker 5: to them and trying to get them to come and

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Speaker 5: get these mortgages, this is a loan shark. This is

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Speaker 5: no different than the mob because there are no protections,

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Speaker 5: like you said, and there are no checks and balances.

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Speaker 3: So that's why now they are literally handing out to

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Speaker 3: these people.

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Speaker 5: They've given mortgages to, you know, instructions on how to

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Speaker 5: avoid ice, how to automatically claim like, oh I'm scared,

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Speaker 5: I'm fearful of my life, not that I just you know,

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Speaker 5: cross the border illegally because I want to come here

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Speaker 5: and I have no actual interest in making America great

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Speaker 5: again or being a proper, you know, citizen in this nation.

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Speaker 5: But now they're going to claim fear because the mortgage

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Speaker 5: company told them to do that because they would like

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Speaker 5: to get paid.

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Speaker 1: Yeah, that's yeah. Tho's a lot of good points there.

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Speaker 1: Speaking of good points not being made, sixteen minutes, I

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Speaker 1: think We've all been familiar with this story. Trump, the

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Speaker 1: Trump administration is I think Donald Trump himself assuming sixty

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Speaker 1: Minutes for selective editing. Their main sixty Minutes producer resigned.

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Speaker 1: The head of CBS at least in that department also resigned.

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Speaker 1: They're trying to tack towards the middle. I'm gonna play you,

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Speaker 1: guys a clip from Scott Pelles, who's one of the

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Speaker 1: prominent hosts of sixty Minutes, a speech that he gave

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Speaker 1: it a university graduation, and I want to ask you

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Speaker 1: after this if you think this is tacking towards the

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Speaker 1: center or just being crazy trying not to laugh at

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Speaker 1: this because it is kind of funny.

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Speaker 2: Watch this, this moment this morning.

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Speaker 6: Our sacred rule of law is underattack. Journalism is underattack,

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Speaker 6: universities are underattack. Freedom of speech is underattack. Power can

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Speaker 6: rewrite history with grotesque, false narratives. They can make criminals

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Speaker 6: heroes and heroes criminals. Power can change the definition of

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Speaker 6: the words we use to describe reality. Diversity is now

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Speaker 6: described as illegal, Equity is to be shunned. Inclusion is

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Speaker 6: a dirty word.

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Speaker 1: That is again a guy, prominent host on the show

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Speaker 1: that is trying to moderate because you know their lawsuits

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Speaker 1: and all that sort of stuff. Uh, Tiffany, I think

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Speaker 1: you saw what I saw the Uh what are.

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Speaker 3: We doing with our hands?

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Speaker 5: We need all these different gesticulations to try to make

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Speaker 5: a point.

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Speaker 3: It's hilarious, Like what is this? Is this drama school?

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Speaker 3: Are we teaching it esbian course?

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Speaker 7: Yeah?

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Speaker 3: No, this is incredible.

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Speaker 5: So you know what's really annoying is that CBS, specifically

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Speaker 5: sixty minutes, they are literally the recipients of a lawsuit

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Speaker 5: because they have cut and edited democrats, including you know,

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Speaker 5: Kamala Harris when she was running for president, to make

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Speaker 5: her sound smarter than she actually was, which I don't

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Speaker 5: think is a shock to any of us. They were

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Speaker 5: willfully like accomplices to trying to downplay Biden's cognitive decline.

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Speaker 5: They did everything possible that breaches I was a serious

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Speaker 5: journalist once upon a time, I got into Columbia's Jay School.

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Speaker 5: I went to USC at a Burgh school, and let

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Speaker 5: me tell you, they breached the basic code of conduct

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Speaker 5: of what it is to be a journalist and to

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Speaker 5: be a member of the press and report the truth.

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Speaker 3: And now that.

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Speaker 5: These men are taking you know, like Tim Waltz just

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Speaker 5: did it last week where he took the podium at

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Speaker 5: the UM twenty five commencement speech and and spent you know,

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Speaker 5: way too long talking about how the ICE agents that

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Speaker 5: have now they're facing over four hundred increase in assaults

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Speaker 5: against them when they're trying to do their job, how

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Speaker 5: they're somehow the Gestapo. And I'm sick of these journalists

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Speaker 5: taking these opportunities when they're supposed to be inspiring America's

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Speaker 5: future and inspiring them to be you know, working, productive

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Speaker 5: citizens and members of this country. I am tired of

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Speaker 5: them taking this opportunity to you know, air all this

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Speaker 5: political nonsense and make you know, wonderful hand motions that

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Speaker 5: they can't seem to stop themselves.

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Speaker 1: Far Justine, while I do these hand motions, he said,

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Speaker 1: diversity is illegal, you know, with with two women and

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Speaker 1: a brown guy on a TV show, Are you ready

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Speaker 1: for the administration to show up at your door because again,

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Speaker 1: diversity is now illegal according to the insight out of

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Speaker 1: his mind.

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Speaker 4: Scott Pelley, Yeah, it seems like that is a fear

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Speaker 4: lessons there from Cory Booker to be or not to

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Speaker 4: be a centered media.

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Speaker 3: Heck, that's is my question.

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Speaker 4: It's just so funny to look at this guy do

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Speaker 4: what we call the dish gallop, which is basically a

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Speaker 4: verbal diarrhea of leftist talking points that are so it's emptiness,

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Speaker 4: pure emptiness behind these talking points.

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Speaker 3: He needs a.

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Speaker 4: Mirror, That's what he needs, because everything that he accused

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Speaker 4: the right of doing is what the left and what

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Speaker 4: the media covered up for this entire time. He's talking

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Speaker 4: about killing criminals as heroes. Well, just a couple of

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Speaker 4: weeks ago, CBS, his network, blurred out the mugshots of

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Speaker 4: convicted sex gang rapists on the White House lawn, and

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Speaker 4: they keep up putting up, propping up these pro these

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Speaker 4: supporters of hamas terrorists, foreign nationals that come to college camps,

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Speaker 4: that they recently did a sixty minutes piece on this

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Speaker 4: poor innocent victim of motion Abu or Kill the Dow

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Speaker 4: or something, Madawih who recently he was charged out one

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Speaker 4: point with claiming that he wanted to buy a gun

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Speaker 4: to murder Jewish people, And CBS is hailing this guy

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Speaker 4: and these illegal aliens and convicted rapists as heroes. So

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Speaker 4: what he really needs is to do some self reflection,

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Speaker 4: but the left just simply can't do that. Instead, They're

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Speaker 4: going to use all the cliches they can to call

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Speaker 4: us anti democratic and fascists when they were the ones

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Speaker 4: doing it all along.

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Speaker 1: That's I think the biggest problem, or at least curiosity

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Speaker 1: that I have. Does he think he's taking himself seriously?

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Speaker 1: Is he like looking in the mirror, going yes, this

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Speaker 1: is how I will convince people of my ways? I

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Speaker 1: don't know. But at the same time, there's also the

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Speaker 1: age old adage on this show. There's a part of

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Speaker 1: me that really really loves seeing libs do that, because

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Speaker 1: the more they do this, the easier it is for

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Speaker 1: us to win. Justina and Tiffany will be back after

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Speaker 1: the break to discuss possibly a great hope from gen

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Speaker 1: Z coming from one of the weirdest possible places, or

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Speaker 1: at least a place that I would not have expected

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Speaker 1: that coming up after the break. Don't go away. Welcome

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Speaker 1: back to Turning Point. Tonight. We're together. We are charting

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Speaker 1: the course of America's cultural comeback. It is time to

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Speaker 1: check in with Turning Points. White House correspondent, Monica Page

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Speaker 1: at the White House, Monica, how you doing?

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Speaker 7: How you doing? Joe, Bob, very rainy day here. Unfortunately

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Speaker 7: it hasn't stopped, and it's not gonna stop all week,

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Speaker 7: so we have a our umbrella is ready.

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Speaker 1: Wow, it's unfortunate, especially considering the bright ray of sunshine

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Speaker 1: that should be emanating from the White House at all times.

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Speaker 1: I think that was mandated. I don't know what's going

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Speaker 1: on there. You know, this is a very serious topic,

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Speaker 1: but also it feels very necessary. Marco Rubio put out

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Speaker 1: a tweet. Let's see if we can pull that tweet

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Speaker 1: up to kind of contextualize this. For far too long,

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Speaker 1: Americans have been fined, harassed, and even charged by foreign

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Speaker 1: authorities for exercising their freedom of speech rights. Today, I'm

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Speaker 1: announcing a new visa restriction policy that will apply to

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Speaker 1: foreign officials and persons who are complicit in censoring Americans.

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Speaker 1: Free speech is essential to the American way of life,

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Speaker 1: a birthright over with which foreign governments have no authority. Monica,

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Speaker 1: can you kind of fill in some of the gaps

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Speaker 1: there of why is the administration doing this? What are

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Speaker 1: some of the catalysts that spurred this on? You talked

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Speaker 1: about a judge in Brazil, kind of fill in why

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Speaker 1: this is so necessary and important coming out of the

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Speaker 1: Trump administration.

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Speaker 7: Yeah, I mean our First Amendment. Right. If you don't

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Speaker 7: have first Amendment, you don't really have any of them,

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Speaker 7: quite honestly. And I think this is a very important

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Speaker 7: move from the Secretary of State Mark Rubia, which, by

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Speaker 7: the way, happy birthday to him today is his birthday.

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Speaker 7: This is huge considering that given what's happening on our

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Speaker 7: college campuses here in the United States with the First Amendment,

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Speaker 7: and given the fact that that judge that you reference

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Speaker 7: for the Brazilian judge, Alexander de morays, he was working

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Speaker 7: actively fighting against x CEO there elon Musk about what

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Speaker 7: can and can't be posted, what if brazil can even

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Speaker 7: have access access to X and in general. But essentially

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Speaker 7: the State Department is calling this unacceptable to seek arrest

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Speaker 7: warrants on US citizens on our own soil over posts

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Speaker 7: on social media. That's exactly what it comes down to.

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Speaker 7: And I think this is a very important move and

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Speaker 7: one that is kind of common sense when you think

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Speaker 7: about it. I mean, this is our country, our rules.

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Speaker 7: Why should any other foreign entity come and try to

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Speaker 7: thrend that on our own soil.

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Speaker 1: Yeah, And it feels like a just good luck try

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Speaker 1: it because I remember when the UK was instituting all

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Speaker 1: of their crazy speech rules, which a lot of are

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Speaker 1: still in place there today. Somebody had mentioned I forget

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Speaker 1: who it was, but is somebody pretty high up and

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Speaker 1: I think the London Police Department saying yeah, if if

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Speaker 1: somebody tweets something or posts something online that we don't like,

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Speaker 1: we will issue an arrest warrant, even if they're in

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Speaker 1: the United States, to which all of us conservatives want

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Speaker 1: good luck, like come and come and take it type

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Speaker 1: of mentality here. Is there anything that you kind of

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Speaker 1: see that is going to immediately get solved by this,

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Speaker 1: or is this kind of like an overarching thing that

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Speaker 1: is just going to be in place and it is

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Speaker 1: kind of an administrative stance, or is there something like

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Speaker 1: immediately that you know of that is going to be

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Speaker 1: affected with by this immediately.

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Speaker 7: I kind of see this as a blanket protection for

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Speaker 7: all Americans and hopefully for college students as well, especially

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Speaker 7: those who are Jewish and are experiencing anti Semitism otheryrown campuses.

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Speaker 7: God forbid, there is a foreign entity that is trying

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Speaker 7: to censor some of these students on their college campuses,

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Speaker 7: not in the way that the president is trying to

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Speaker 7: combat anti Semitism. But you know, when it comes to

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Speaker 7: the perpetrators to make sure that they are prosecuted in

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Speaker 7: the way that they're supposed by banning students foreign visas,

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Speaker 7: You're not supposed to come here and start criticizing our

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Speaker 7: country if you're hero and a visa. That's not how

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Speaker 7: this works. But I also kind of see this, to

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Speaker 7: expand on this conversation a little bit more, it's within

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Speaker 7: our own country, within our own political party system. When

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Speaker 7: you saw the Democrats censoring Republicans on social media, when

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Speaker 7: you saw Mark Zuckerberg actively trying to censor post regarding

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Speaker 7: the Hunter Biden laptop, the COVID vaccine, when you saw

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Speaker 7: I don't know, the Department of Justice go after a

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Speaker 7: specific civilian for posting memes of Hillary Clinton and was.

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Speaker 3: Jailed for that.

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Speaker 7: So I'm hoping this is not only against these foreign

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Speaker 7: entities but also those who try to pull that censorship

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Speaker 7: nonsense here in the United States as well.

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Speaker 1: Yeah, I mean, one can only hope, but unfortunately, considering

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Speaker 1: where a bunch of the lefty tech operatives are, I'm

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Speaker 1: not super optimistic. But I guess we'll see, and I

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Speaker 1: hope this continues to be a path and direction the

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Speaker 1: administration goes Monica Page, turning points, White House Correspondent, thanks

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Speaker 1: so much for checking in. Thanks so much, Joe Bob,

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Speaker 1: thank you. The Supreme Court didn't hear something that I

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Speaker 1: would have loved for them to hear, and unfortunately sent

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Speaker 1: it back to the ruling in Massachusetts. If you're not

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Speaker 1: aware of this story, there was a child in Massachusetts,

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Speaker 1: a junior hire that wore a T shirt onto the

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Speaker 1: school's campus and that T shirt was just so bad

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Speaker 1: and horrible that they couldn't handle it. And that kid

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Speaker 1: was kicked out of school or at least told not

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Speaker 1: to wear the T shirt. And this made it all

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Speaker 1: the way up to the Supreme Court. What did the

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Speaker 1: T shirt say? Well, the T shirt said there are

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Speaker 1: only two genders. Now here's the problem that I would

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Speaker 1: have with that. The Supreme Court. Yeah, there does need

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Speaker 1: to be rules regarding what kids can wear and what

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Speaker 1: kids can't wear in schools. Problem is, if a kid's

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Speaker 1: wearing a shirt that says there are only two genders,

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Speaker 1: which is just objectively true, in the school says no,

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Speaker 1: you can't wear that shirt, then are they also making

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Speaker 1: sure that kids can't wear the trans flag on their

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Speaker 1: T shirt. Are they also making sure the kids wear

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Speaker 1: they can't wear the alphabet letter T shirt. What if

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Speaker 1: somebody's wearing a Dylan mulvany T shirt. Are they gonna

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Speaker 1: outlaw that or is it just selective too conservatives? My

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Speaker 1: guess would be that in the state of Massachusetts, state

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Speaker 1: that has elected Elizabeth Warren to the Senate, the United

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Speaker 1: States freaking Senate Elizabeth Warren is a member of the Senate.

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Speaker 1: A state that elected Elizabeth Warren probably isn't enforcing the

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Speaker 1: rules on both sides of the fence. Let's bring our

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Speaker 1: panel back if we have the opportunity to do. I

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Speaker 1: know we're having some little bit of technical difficulties. A right,

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Speaker 1: here we go, there's a panel back. Tiffany and Justine

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Speaker 1: are back with us. Justine, I'll start with you here.

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Speaker 1: I don't like that the Supreme Court isn't stepping in

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Speaker 1: on this, But at the same time, I understand, yeah,

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Speaker 1: schools do need to have parameters. However, However, again, again

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Speaker 1: and again, do you think they are in forcing all

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Speaker 1: of those rules, the non quote unquote political rules, or

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Speaker 1: not being a disturbance in class fairly, or do you

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Speaker 1: think there's one side that's specifically getting the raw end

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Speaker 1: of the deal.

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Speaker 4: Well, some when they treat transgenderism and gender ideology as

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Speaker 4: a rule, when when that curriculum is just part of

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Speaker 4: the school. So, god forbid you have a kid show

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Speaker 4: up with a really scary shirt that talks about common sense,

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Speaker 4: that says there's two genders that might differ, might dare

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Speaker 4: to question and challenge the school's curricula, which has become

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Speaker 4: so woke to the point where incorporating to generacy, we've

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Speaker 4: had public schools turn their heads and even condone when

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Speaker 4: they're teachers. This is an actual story. I can't believe

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Speaker 4: I'm saying this, but when we've had teachers go on

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Speaker 4: camera justifying why they're teaching young people about butt plugs

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Speaker 4: like that was actually a book put in a public

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Speaker 4: school life library recently, and a teacher had to justify

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Speaker 4: that and called a parent a homophobe for saying, you know,

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Speaker 4: that's kind of inappropriate. But god forbid you have a

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Speaker 4: kid show up with hate speech on his shirt that says,

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Speaker 4: you know, well, you have a man and a.

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Speaker 3: Woman and there's no other gender.

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Speaker 4: Sorry, teacher, you can't just make up a gender and

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Speaker 4: indoctrinate kids with your news speak.

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Speaker 3: Well, that's just a Shonda.

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Speaker 1: Yeah. That sounds like our friend John Mamachuku who goes

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Speaker 1: into school board meetings and reads them what is in

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Speaker 1: the classroom and they said, no, you can't read that.

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Speaker 1: This is not appropriate. Like, okay, the case in point there,

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Speaker 1: Tiffany So, And it's at a certain point you start

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Speaker 1: to wonder, Okay, well, what is legal or what is

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Speaker 1: allowable here? If you can't wear a shirt that says

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Speaker 1: there are two genders, what if the kid just shut

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Speaker 1: up that had a shirt that said women are female

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Speaker 1: like that? Just that feels like such an obvious thing,

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Speaker 1: and maybe maybe we should just start sending t shirts

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Speaker 1: to kids in that school district, just saying the most

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Speaker 1: and not just say woman on it. What is allowed?

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Speaker 1: I mean, where do you draw the line here?

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Speaker 2: Yeah?

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Speaker 3: I think it's a complete repression of free speech.

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Speaker 7: Right.

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Speaker 5: You look at where there's actually already been a court

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Speaker 5: case back in nineteen sixty nine that allowed, you know,

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Speaker 5: hippies that were protesting the Vietnam War to wear these

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Speaker 5: black armbands on their wrists. So the hippies can protest,

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Speaker 5: but the conservatives who actually believe in science, they can't

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Speaker 5: say that, So I really do think that there needs

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Speaker 5: to be you know, action, and what's going on right now,

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Speaker 5: it's kind of hinted to in the Supreme Court case,

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Speaker 5: is that the Supremes will be hearing another case coming

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Speaker 5: up dealing with LGTBQ stuff, dealing with a lot of

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Speaker 5: this similar thing in schools and what in the descent

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Speaker 5: you can kind of get an idea of this as

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Speaker 5: coming of indoctrinating younger children.

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Speaker 3: So I do think there's hope.

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Speaker 5: Maybe for an appeal down the road to depending on

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Speaker 5: where the Supreme Court case ultimately ends up. So you know,

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Speaker 5: cross your fingers and hopefully things will get sorted out

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Speaker 5: in the end.

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Speaker 1: Yeah, speaking of having hope, I have some hope for

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Speaker 1: the gen Z generation. Tinder, if you don't know, is

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Speaker 1: a social media app or hookup app. I don't. I

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Speaker 1: don't even know what's necessarily call it, but you swipe right.

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Speaker 1: It's known for people having ungodly marital relations while outside

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Speaker 1: of the bounds of marriage, which you know is probably

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Speaker 1: not the most conservative thing new but they Tinder themselves,

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Speaker 1: are curtailing how they do their app and not out

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Speaker 1: of the goodness of their heart. By the way this

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Speaker 1: is market driven. It's turning out that gen Z is

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Speaker 1: looking for more meaningful relationships and therefore using the hookup

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Speaker 1: apps less, which is great news for me. Justine, kind

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Speaker 1: of can you speak to your like, what is going

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Speaker 1: on among like your friends, Like, do you have kind

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Speaker 1: of any anecdotal evidence of this that that shows kind

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Speaker 1: of yeah, that gen Z culture is is more conservative,

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Speaker 1: especially in this realm.

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Speaker 4: Part of it's because we've been sold on soulnessness for

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Speaker 4: so long hours. Our culture and our media has encouraged

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Speaker 4: us to believe hookup culture and just random hookups are

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Speaker 4: totally fine and it's liberating. But at the end of

437
00:23:09,280 --> 00:23:13,480
Speaker 4: the day, it's not because you become emotionally attached to people,

438
00:23:13,960 --> 00:23:17,880
Speaker 4: and that's something that our big corporations just haven't been

439
00:23:17,920 --> 00:23:21,919
Speaker 4: able to grasp onto. Finally, Tinders looking at that Tender

440
00:23:22,000 --> 00:23:25,320
Speaker 4: is afraid they're noticing this changing in our culture. They're

441
00:23:25,359 --> 00:23:27,520
Speaker 4: noticing that gen Z at the end of the day,

442
00:23:27,720 --> 00:23:31,520
Speaker 4: where reverting back to where human instincts, which say, yes,

443
00:23:31,600 --> 00:23:34,080
Speaker 4: we need to make connections with people. You can't just

444
00:23:34,200 --> 00:23:38,280
Speaker 4: have very a personal you can't have a sexual relationship

445
00:23:38,280 --> 00:23:42,639
Speaker 4: with someone without having the relationship first and it seems

446
00:23:42,640 --> 00:23:44,239
Speaker 4: like Tinder is falling in line with that.

447
00:23:44,280 --> 00:23:47,040
Speaker 3: They don't want to lose customers, so they're.

448
00:23:46,880 --> 00:23:50,600
Speaker 4: Acquiescing acquiescing it, and I think this is a very

449
00:23:50,840 --> 00:23:54,800
Speaker 4: good move because previously, unfortunately, I haven't ever seen a

450
00:23:54,800 --> 00:23:58,600
Speaker 4: good story come out of Tinder. Maybe this time we

451
00:23:58,640 --> 00:23:59,720
Speaker 4: will finally have one.

452
00:23:59,760 --> 00:24:03,280
Speaker 1: For yeah, Antiviany. It does seem like this is not

453
00:24:03,400 --> 00:24:06,960
Speaker 1: it's not market driven, like Tinder is not like oh sorry, sorry,

454
00:24:06,960 --> 00:24:09,080
Speaker 1: it is market driven. It's not tenders coming out of

455
00:24:09,359 --> 00:24:11,440
Speaker 1: the goodness of their hearts. I think we need to

456
00:24:11,480 --> 00:24:14,159
Speaker 1: adjust socided this way. No, they have financial interests and

457
00:24:14,160 --> 00:24:16,320
Speaker 1: people just aren't using it as much. I guess what

458
00:24:16,359 --> 00:24:18,880
Speaker 1: does that say about gen Z? And do you also

459
00:24:19,000 --> 00:24:21,199
Speaker 1: have hope for the future as as I do at

460
00:24:21,280 --> 00:24:24,680
Speaker 1: least minimal glimmer here at the very.

461
00:24:24,480 --> 00:24:27,479
Speaker 5: I literally did an entire podcast episode on this because

462
00:24:27,640 --> 00:24:31,920
Speaker 5: dating apps, I think are an atrocity to humanity.

463
00:24:32,359 --> 00:24:34,280
Speaker 3: So what you're looking at it's twofold, right.

464
00:24:34,640 --> 00:24:36,840
Speaker 5: Yes, they are not some altruistic five oh one c

465
00:24:37,000 --> 00:24:39,239
Speaker 5: three out to do God's work. They are businesses who

466
00:24:39,320 --> 00:24:41,200
Speaker 5: need to make money. And when they see that, gen

467
00:24:41,320 --> 00:24:42,040
Speaker 5: Z is like, you.

468
00:24:42,000 --> 00:24:44,200
Speaker 3: Know what, we're kind of sick of having casual, meaningless

469
00:24:44,200 --> 00:24:46,439
Speaker 3: hook up sex. We actually are really lonely.

470
00:24:46,480 --> 00:24:49,760
Speaker 5: They're the most isolated and most depressed and lonely generation

471
00:24:49,840 --> 00:24:52,320
Speaker 5: we've ever had. And it's because they are digital natives

472
00:24:52,320 --> 00:24:56,000
Speaker 5: who have been raised through screens, who often are incapable

473
00:24:56,000 --> 00:25:00,320
Speaker 5: of understanding like normal basic human interaction. These these people

474
00:25:00,320 --> 00:25:02,200
Speaker 5: are raised and I think it comes down to this,

475
00:25:03,320 --> 00:25:05,840
Speaker 5: It's virtue. It's a lack of virtue. It's a lack

476
00:25:05,880 --> 00:25:08,920
Speaker 5: of courage, and it's a lack of you know, these

477
00:25:08,960 --> 00:25:10,520
Speaker 5: young kids don't know how to you know, if they

478
00:25:10,520 --> 00:25:12,679
Speaker 5: see a cute girl across the room, to pluck up

479
00:25:12,680 --> 00:25:15,080
Speaker 5: the courage to walk across the room and introduce themselves.

480
00:25:15,520 --> 00:25:17,960
Speaker 3: That is that is pure terror for a lot of them.

481
00:25:18,000 --> 00:25:19,240
Speaker 5: And a lot of them, you know, we're in high

482
00:25:19,240 --> 00:25:22,119
Speaker 5: school during COVID, or we're in college during COVID, and

483
00:25:22,160 --> 00:25:24,879
Speaker 5: so they were often ostracized and isolated even more to

484
00:25:24,920 --> 00:25:28,040
Speaker 5: a greater degree. And so what you're seeing is, yes, hope.

485
00:25:28,040 --> 00:25:29,960
Speaker 5: But also you look at now the rise of AI,

486
00:25:30,480 --> 00:25:33,400
Speaker 5: the rise of these dating chat bots that you see

487
00:25:33,400 --> 00:25:35,800
Speaker 5: a lot of you know, young men kind of gravitating

488
00:25:35,840 --> 00:25:38,320
Speaker 5: toward And I think we have we have real reason

489
00:25:38,359 --> 00:25:40,399
Speaker 5: to be deeply concerned for the future of gen Z

490
00:25:40,600 --> 00:25:42,680
Speaker 5: for the fact that we have a real population decline

491
00:25:42,840 --> 00:25:44,000
Speaker 5: and all that goes with it.

492
00:25:44,760 --> 00:25:46,719
Speaker 1: Yeah, it's going to be really interesting to see. I

493
00:25:46,760 --> 00:25:49,000
Speaker 1: hope they kind of keep the pace. I would love

494
00:25:49,040 --> 00:25:51,480
Speaker 1: to see a culture that gets back to Uh, I'm

495
00:25:51,520 --> 00:25:53,600
Speaker 1: going to kill an elk and bring it to their

496
00:25:53,640 --> 00:25:56,879
Speaker 1: father as a gift in helps of courting their daughter.

497
00:25:57,160 --> 00:26:01,120
Speaker 1: That's what I want to see going forward in our culture.

498
00:26:01,600 --> 00:26:01,719
Speaker 6: Uh.

499
00:26:01,840 --> 00:26:03,959
Speaker 1: Tiffany justin thank you guys so much for joining us.

500
00:26:03,960 --> 00:26:05,680
Speaker 1: Really appreciate you taking the time. We'll have you back.

501
00:26:06,359 --> 00:26:07,360
Speaker 3: Great to be back to you.

502
00:26:08,080 --> 00:26:10,600
Speaker 1: Thank you. Coming up next. A clip from outs Clark's

503
00:26:10,600 --> 00:26:13,680
Speaker 1: a culture apothecary podcast produced by Turning Point USA. Don't

504
00:26:13,680 --> 00:26:14,960
Speaker 1: go away, We'll be right back after this.

505
00:26:26,680 --> 00:26:29,119
Speaker 8: What are some signs that somebody could have an autoimmune

506
00:26:29,119 --> 00:26:31,160
Speaker 8: disease besides that and not even know it.

507
00:26:31,440 --> 00:26:33,240
Speaker 9: Some of the things that I would look out for

508
00:26:33,359 --> 00:26:36,520
Speaker 9: if you are again, if you're a moody teenager, if

509
00:26:36,520 --> 00:26:41,199
Speaker 9: you're losing hair, if you're having a weight gain. Although

510
00:26:41,280 --> 00:26:44,239
Speaker 9: not everybody with autoimmune thyroid disease is going to have

511
00:26:44,280 --> 00:26:47,679
Speaker 9: weight gain, some people might have excessive weight loss. We

512
00:26:47,800 --> 00:26:52,680
Speaker 9: might have brain fog, we might have palpitations, we might

513
00:26:52,760 --> 00:26:55,560
Speaker 9: have a loss of the upper third part of the eyebrows.

514
00:26:56,040 --> 00:26:59,480
Speaker 9: Person might have trouble regulating their body temperature. So we

515
00:26:59,520 --> 00:27:03,680
Speaker 9: typically think of the advanced hypothyroidism as you're cold all

516
00:27:03,720 --> 00:27:06,320
Speaker 9: the time, but in the early stages, it might be

517
00:27:06,359 --> 00:27:09,560
Speaker 9: you're hot all the time, so you are a teenager

518
00:27:09,640 --> 00:27:12,640
Speaker 9: or a young woman that's wearing a short skirt out

519
00:27:12,680 --> 00:27:17,280
Speaker 9: of cold, snowy winter day. And other symptoms might include

520
00:27:17,520 --> 00:27:22,160
Speaker 9: just feeling depressed and feeling sluggish. Women in their twenties

521
00:27:22,600 --> 00:27:27,760
Speaker 9: notoriously might have irritable bowel syndrome. They might have multiple miscarriages.

522
00:27:28,440 --> 00:27:32,040
Speaker 9: And I feel like you know, thyroid hormone impacts every

523
00:27:32,080 --> 00:27:35,000
Speaker 9: single cell in the body, so the symptoms might feel

524
00:27:35,119 --> 00:27:41,080
Speaker 9: very nonspecific, and people oftentimes will get a diagnosis of depression, anxiety,

525
00:27:41,200 --> 00:27:43,359
Speaker 9: or it's all in your head right, or you have

526
00:27:43,440 --> 00:27:47,680
Speaker 9: forked to mouth disease if you're gaining weight. But anybody

527
00:27:47,720 --> 00:27:50,919
Speaker 9: with these symptoms deserves to get a full thyroid panel.

528
00:27:51,280 --> 00:27:54,560
Speaker 8: I was experiencing, I mean, yeah, extreme fatigue in the morning,

529
00:27:54,640 --> 00:27:56,640
Speaker 8: like just very very hard for me to get moving

530
00:27:56,680 --> 00:27:58,879
Speaker 8: and get out of bed, like just felt like I had, like,

531
00:27:59,000 --> 00:28:01,240
Speaker 8: you know, two hundred xras pounds like weigh me down,

532
00:28:01,280 --> 00:28:03,520
Speaker 8: trying to like get up and get moving, just never

533
00:28:03,560 --> 00:28:09,240
Speaker 8: feeling well rested, major joint pain. My nails were constantly breaking,

534
00:28:09,720 --> 00:28:12,480
Speaker 8: could not stop my nails breaking, losing tons of hair

535
00:28:13,040 --> 00:28:15,080
Speaker 8: so much so that my hair colorist was like, hey,

536
00:28:15,080 --> 00:28:17,000
Speaker 8: I think you have something going on your thyroid because

537
00:28:17,040 --> 00:28:20,560
Speaker 8: you're losing way more than you should in a hair wash.

538
00:28:20,680 --> 00:28:22,399
Speaker 8: So thank God for her, because it was she was

539
00:28:22,440 --> 00:28:24,680
Speaker 8: the reason why I then like kind of asked about

540
00:28:24,680 --> 00:28:27,520
Speaker 8: it and looked into it. Otherwise I never would have known. So, yeah,

541
00:28:27,600 --> 00:28:29,680
Speaker 8: those were some of the things that I was experiencing

542
00:28:29,720 --> 00:28:31,840
Speaker 8: as well. In your opinion, what do you think is

543
00:28:31,880 --> 00:28:34,600
Speaker 8: responsible for this rapid uptick in autoimmune disease.

544
00:28:34,920 --> 00:28:37,760
Speaker 9: It's a challenging question, but I do feel like a

545
00:28:37,800 --> 00:28:41,040
Speaker 9: lot of the reasons are because of our food quality

546
00:28:41,160 --> 00:28:44,880
Speaker 9: and because of the toxins in our environment. So looking

547
00:28:45,040 --> 00:28:49,320
Speaker 9: at the rates of thyroid disorders and frozen blood right

548
00:28:49,360 --> 00:28:53,200
Speaker 9: from twenty thirty forty fifty years ago, we have lower

549
00:28:53,280 --> 00:28:57,480
Speaker 9: rates of hashimotos antibodies than autoimmune thyroid antibodies. But these

550
00:28:57,560 --> 00:28:59,880
Speaker 9: days the rates are going to be higher and higher,

551
00:29:00,000 --> 00:29:03,160
Speaker 9: and I do think the environment is responsible for this.

552
00:29:03,480 --> 00:29:05,680
Speaker 8: Yeah, I think you're really onto something there, and then

553
00:29:05,720 --> 00:29:07,360
Speaker 8: also tell me if this is true or not. But

554
00:29:07,400 --> 00:29:09,960
Speaker 8: I heard that being on birth control for ten years

555
00:29:10,040 --> 00:29:12,480
Speaker 8: or more can increase your likelihood like over two hundred

556
00:29:12,480 --> 00:29:15,320
Speaker 8: and thirty percent of developing autoimmune.

557
00:29:15,000 --> 00:29:18,600
Speaker 9: Unfortunately, this is correct. A recent study just came out

558
00:29:18,640 --> 00:29:23,520
Speaker 9: connecting birth control pills to higher rates of autoimmune thyroid disease.

559
00:29:24,000 --> 00:29:27,760
Speaker 9: I had suspected this as a practicing pharmacist, that proton

560
00:29:27,840 --> 00:29:31,840
Speaker 9: pump inhibitors and antibiotics as well as birth control pills

561
00:29:31,880 --> 00:29:34,160
Speaker 9: can contribute to this, but the research is now out

562
00:29:34,160 --> 00:29:37,800
Speaker 9: there confirming this. Unfortunately, what is life like for somebody

563
00:29:37,880 --> 00:29:41,800
Speaker 9: with hashimotives that their significant other should understand? I think

564
00:29:41,920 --> 00:29:46,080
Speaker 9: people who are who love somebody with hashimotos should know

565
00:29:46,160 --> 00:29:49,680
Speaker 9: that we don't necessarily try to be difficult. We are

566
00:29:49,800 --> 00:29:53,840
Speaker 9: not lazy. We're not trying to make your life harder.

567
00:29:54,320 --> 00:29:57,520
Speaker 9: A lot of the times, our energy is so so

568
00:29:57,920 --> 00:30:01,680
Speaker 9: severely impacted by hashimotos that it is tough to get

569
00:30:01,720 --> 00:30:04,120
Speaker 9: out of bed in the mornings. It is tough to

570
00:30:04,200 --> 00:30:06,680
Speaker 9: do basic day to day tasks.

571
00:30:06,800 --> 00:30:06,960
Speaker 7: Right.

572
00:30:07,320 --> 00:30:09,959
Speaker 9: I know that before I was diagnosed, I had this

573
00:30:10,120 --> 00:30:15,440
Speaker 9: label of being lazy because when I was in pharmacy school,

574
00:30:15,480 --> 00:30:17,400
Speaker 9: I would wake up and go to school every day

575
00:30:17,520 --> 00:30:19,800
Speaker 9: and do my studies. But on the weekends I would

576
00:30:19,800 --> 00:30:23,400
Speaker 9: be sleeping until noon, and my parents and my brother

577
00:30:23,520 --> 00:30:25,600
Speaker 9: and a lot of my friends would make fun of me.

578
00:30:25,680 --> 00:30:28,600
Speaker 9: They would say, Isabelle is just so lazy, right, she

579
00:30:28,760 --> 00:30:30,560
Speaker 9: is just so lazy. She just wants to sit around

580
00:30:30,600 --> 00:30:33,240
Speaker 9: all day. She sleeps until noon. You are just such

581
00:30:33,280 --> 00:30:36,560
Speaker 9: a lazy person. And that is absolutely not the truth.

582
00:30:36,600 --> 00:30:39,720
Speaker 9: A lot of people with hashimotos, with autoimune thyraid disease,

583
00:30:40,040 --> 00:30:43,160
Speaker 9: they might be very, very ambitious and motivated people, but

584
00:30:43,200 --> 00:30:47,480
Speaker 9: they just lack the energy to really go after their dreams.

585
00:30:47,520 --> 00:30:49,680
Speaker 9: And I think this is very, very devastating for a

586
00:30:49,680 --> 00:30:53,560
Speaker 9: lot of people. It's also an invisible illness, and so

587
00:30:53,760 --> 00:30:56,760
Speaker 9: a lot of our friends and family members and loved

588
00:30:56,800 --> 00:30:59,400
Speaker 9: ones might not be able to know how much effort

589
00:30:59,440 --> 00:31:02,400
Speaker 9: it actually takes us to show up right to go

590
00:31:02,440 --> 00:31:06,200
Speaker 9: to our restaurant and celebrate with girlfriends. Sometimes we might

591
00:31:06,200 --> 00:31:09,280
Speaker 9: need three days to recover from that. Literally that that

592
00:31:10,120 --> 00:31:12,719
Speaker 9: is the thing is that I.

593
00:31:12,240 --> 00:31:14,120
Speaker 8: Will go and I'm like man, maybe I'm just more

594
00:31:14,160 --> 00:31:17,560
Speaker 8: introverted than I thought that I was, but in reality

595
00:31:17,600 --> 00:31:19,640
Speaker 8: it just might be hashimotos is that when I am

596
00:31:19,720 --> 00:31:22,720
Speaker 8: at an event or an activity for multiple hours, like

597
00:31:22,760 --> 00:31:27,000
Speaker 8: talking to people NonStop or whatever, I am so exhausted,

598
00:31:27,000 --> 00:31:31,160
Speaker 8: but like it's really beyond like what's explainable, Like I

599
00:31:31,200 --> 00:31:33,000
Speaker 8: do need like a day or two. I'm like, I

600
00:31:33,040 --> 00:31:34,680
Speaker 8: can't go out tomorrow, like I went out last night,

601
00:31:34,680 --> 00:31:36,920
Speaker 8: but it was like just a long dinner or something

602
00:31:36,960 --> 00:31:38,400
Speaker 8: like that where I had to really talk to people

603
00:31:38,600 --> 00:31:41,920
Speaker 8: and be social and I just am so tired. But

604
00:31:41,960 --> 00:31:43,960
Speaker 8: I wonder if that plays a part in it. If

605
00:31:43,960 --> 00:31:47,840
Speaker 8: an autoimmune disease is left untreated for too long, what

606
00:31:47,920 --> 00:31:50,560
Speaker 8: kind of damage can that potentially do to the body.

607
00:31:50,840 --> 00:31:55,040
Speaker 9: Unfortunately, autoimmunity is progressive, and so we might start off

608
00:31:55,120 --> 00:31:58,400
Speaker 9: with a person having an autoimmune attack against their thyroid gland.

609
00:31:58,960 --> 00:32:03,640
Speaker 9: Initially you're gonna have symptoms of that, and eventually you're

610
00:32:03,680 --> 00:32:06,000
Speaker 9: gonna have your thyroid damage to the point where you

611
00:32:06,040 --> 00:32:09,520
Speaker 9: need to get on thyroid hormones forever. Right, Because it's

612
00:32:09,520 --> 00:32:11,720
Speaker 9: so much easier to prevent damage than it is to

613
00:32:12,400 --> 00:32:16,360
Speaker 9: restore and regrow a thyroid gland. The thing that not

614
00:32:16,400 --> 00:32:18,600
Speaker 9: a lot of people understand though, is that it can

615
00:32:18,640 --> 00:32:24,200
Speaker 9: further progress into other autoimmune disorders. So unfortunately, in some cases,

616
00:32:24,200 --> 00:32:28,600
Speaker 9: I've seen people with grave disease or hashimotos where they

617
00:32:28,800 --> 00:32:31,680
Speaker 9: just get on thyroid medications or perhaps they have their

618
00:32:31,720 --> 00:32:34,520
Speaker 9: thyroid gland removed, and they think that this is it,

619
00:32:34,600 --> 00:32:36,719
Speaker 9: that this is all they need to do, but then

620
00:32:36,760 --> 00:32:39,600
Speaker 9: they end up with another type of autoimmune condition like

621
00:32:39,920 --> 00:32:46,200
Speaker 9: rheumatoid arthritis or lupis and soiatic arthritis. And it's something

622
00:32:46,280 --> 00:32:48,520
Speaker 9: that I feel like more people need to know about.

623
00:32:48,640 --> 00:32:51,200
Speaker 9: And this is why I'm so passionate about root causes.

624
00:32:51,280 --> 00:32:54,560
Speaker 9: And it's like, what is actually driving you to have

625
00:32:54,600 --> 00:32:56,160
Speaker 9: this autoimmune dysfunction? Right?

626
00:32:56,280 --> 00:32:59,240
Speaker 8: Is there any connection between hashimotos and potential infertility.

627
00:32:59,320 --> 00:33:04,320
Speaker 9: There's a huge between hashimotos and infertility. It's really really

628
00:33:04,360 --> 00:33:09,120
Speaker 9: heartbreaking because so many women in their twenties and their thirties,

629
00:33:09,280 --> 00:33:13,960
Speaker 9: in their early forties, they can have multiple miscarriages and

630
00:33:14,040 --> 00:33:18,680
Speaker 9: nobody thinks to test their thyroid function when their thyroid

631
00:33:18,680 --> 00:33:21,640
Speaker 9: antibodies are elevated. This can also be a reason as

632
00:33:21,640 --> 00:33:24,080
Speaker 9: well as when they don't have enough thyroid hormone on

633
00:33:24,160 --> 00:33:27,640
Speaker 9: board and it's really really devastating. I feel like thyroid

634
00:33:27,680 --> 00:33:32,040
Speaker 9: testing should be I think that every woman should get

635
00:33:32,080 --> 00:33:34,520
Speaker 9: when she thinks about starting to have children, but it's

636
00:33:34,520 --> 00:33:35,760
Speaker 9: not part of the standard panel.

637
00:33:36,080 --> 00:33:38,480
Speaker 8: Yeah, So what is the exact thing that we need

638
00:33:38,520 --> 00:33:40,960
Speaker 8: to ask for when getting blood? We're done to tell

639
00:33:41,000 --> 00:33:43,440
Speaker 8: if we have an autoimmune disease or not. So in

640
00:33:43,480 --> 00:33:47,560
Speaker 8: addition to the TSH, which is the thyroid stimulating hormone,

641
00:33:47,920 --> 00:33:52,520
Speaker 8: we also want to ask for thyroid antibodies. These are

642
00:33:52,880 --> 00:33:57,560
Speaker 8: thyroid peroxides antibodies and thyroglobulin antibodies are the two most

643
00:33:57,560 --> 00:34:03,320
Speaker 8: common antibodies in hashimotos and they can be elevated for five, ten,

644
00:34:03,520 --> 00:34:08,720
Speaker 8: fifteen years before a change in TSH is seen, before

645
00:34:08,760 --> 00:34:12,160
Speaker 8: a change in thyroid hormones is seen. And if you

646
00:34:12,239 --> 00:34:16,080
Speaker 8: have these antibodies and they're elevated and your quote unquote

647
00:34:16,080 --> 00:34:18,719
Speaker 8: thyroid function is still normal, this is going to be

648
00:34:18,760 --> 00:34:20,839
Speaker 8: the best time for you to take action on your

649
00:34:20,880 --> 00:34:24,440
Speaker 8: health to get rid of those symptoms, to get rid

650
00:34:24,440 --> 00:34:28,040
Speaker 8: of those antibodies, to get the autoimmunity into remission and

651
00:34:28,360 --> 00:34:34,279
Speaker 8: prevent a lifelong need for medication and prevent so many symptoms.

652
00:34:34,520 --> 00:34:37,880
Speaker 8: What should somebody's first steps be who was just diagnosed

653
00:34:37,880 --> 00:34:39,960
Speaker 8: with hashimotos. So they're listening to this podcast, they're like, Oh,

654
00:34:40,080 --> 00:34:41,680
Speaker 8: I just was told I had this and they don't

655
00:34:41,680 --> 00:34:43,279
Speaker 8: know anything about it or what to do now.

656
00:34:43,480 --> 00:34:47,280
Speaker 9: Definitely educate yourself, so I recommend being an empowered patient.

657
00:34:47,760 --> 00:34:50,400
Speaker 9: This is going to be huge on your healing journey.

658
00:34:50,440 --> 00:34:56,400
Speaker 9: If you know the state of conventional medicine in this country, unfortunately,

659
00:34:56,440 --> 00:34:59,479
Speaker 9: you will know that there are many doctors out there.

660
00:34:59,600 --> 00:35:01,919
Speaker 9: Many of them are well meaning, but they just don't

661
00:35:01,960 --> 00:35:04,680
Speaker 9: know what they don't know. And there's a ton of

662
00:35:04,719 --> 00:35:07,319
Speaker 9: research and a ton of resources out there that can

663
00:35:07,360 --> 00:35:10,160
Speaker 9: help you take charge of your health to feel better.

664
00:35:10,840 --> 00:35:14,160
Speaker 9: The few things that I found that are incredibly helpful

665
00:35:14,239 --> 00:35:18,920
Speaker 9: for women with thyroid disorders and hashimotos are going to

666
00:35:18,960 --> 00:35:22,359
Speaker 9: be dietary triggers. So getting off of gluten, dairy, and

667
00:35:22,440 --> 00:35:25,960
Speaker 9: soy for about ninety days for many women, this can

668
00:35:26,000 --> 00:35:31,319
Speaker 9: get the autoimmune condition into remission. There's also nutrient efficiencies

669
00:35:31,360 --> 00:35:36,759
Speaker 9: that can be really really relevant in thyroid dysfunction, soelenium

670
00:35:36,840 --> 00:35:40,920
Speaker 9: and myoanocetol. In those very very early stages when the

671
00:35:40,960 --> 00:35:45,280
Speaker 9: TSH is just slightly elevated and the thyroid antibodies are high.

672
00:35:45,880 --> 00:35:49,560
Speaker 9: This can normalize thyroid function for many women and get

673
00:35:49,640 --> 00:35:52,239
Speaker 9: rid of a lot of the symptoms. Beyond that, I

674
00:35:52,239 --> 00:35:56,600
Speaker 9: would also look at supporting your detox pathways, supporting your

675
00:35:56,640 --> 00:36:00,359
Speaker 9: stress response, as well as looking at your gut health,

676
00:36:00,400 --> 00:36:02,719
Speaker 9: like what is happening inside of your gut. There's a

677
00:36:02,800 --> 00:36:06,160
Speaker 9: huge connection between the gut and autoimmune disease.

678
00:36:14,760 --> 00:36:17,680
Speaker 10: Immediately, Nobods thought about you, who's just twenty four to

679
00:36:17,719 --> 00:36:20,160
Speaker 10: seven flooding the zone. Back to my thirteen year old

680
00:36:20,360 --> 00:36:23,040
Speaker 10: owning this space every day, getting a convert and then

681
00:36:23,040 --> 00:36:26,560
Speaker 10: I'm thinking about we're gonna stand back and watch you

682
00:36:27,120 --> 00:36:28,319
Speaker 10: run circles around us.

683
00:36:28,440 --> 00:36:31,120
Speaker 11: He said it best at Turning Point USA. We're relentless.

684
00:36:31,200 --> 00:36:35,560
Speaker 11: We're changing minds on campuses every semester, defending conservative values

685
00:36:35,760 --> 00:36:39,120
Speaker 11: and fighting for America's future. Your donation helps keep us

686
00:36:39,160 --> 00:36:43,080
Speaker 11: on campus. Join the movement and donate to TPUSA today.

687
00:36:44,560 --> 00:36:46,759
Speaker 1: TPUSA dot com. That's where you want to go to

688
00:36:46,760 --> 00:36:48,759
Speaker 1: find out all of the information. Welcome back to Turning

689
00:36:48,760 --> 00:36:50,759
Speaker 1: Points tonight. Thanks for sticking with us through the break together.

690
00:36:50,760 --> 00:36:52,560
Speaker 1: We were charting the course of America's Culturre will come back.

691
00:36:52,560 --> 00:36:55,040
Speaker 1: My name is Joe Bob You can find out everything

692
00:36:55,080 --> 00:36:57,480
Speaker 1: at TBUSA dot com. The events that are coming up

693
00:36:57,520 --> 00:36:59,680
Speaker 1: which you're gonna want to go to, you can't go

694
00:36:59,719 --> 00:37:02,040
Speaker 1: if you're remand to YWLS next month, the Young Women's

695
00:37:02,080 --> 00:37:04,440
Speaker 1: Leadership Summit that's happening in Dallas, but you can go

696
00:37:04,520 --> 00:37:07,120
Speaker 1: to these Student Actions Summit that's happening in Tampa in July.

697
00:37:07,719 --> 00:37:09,880
Speaker 1: All that information is found at TPUSA dot com. You

698
00:37:09,920 --> 00:37:12,239
Speaker 1: can also find out what Turning Point Academy is doing

699
00:37:12,280 --> 00:37:14,920
Speaker 1: at Turning Point Academy dot com. Also, you can look

700
00:37:14,920 --> 00:37:17,279
Speaker 1: at their educators, some at you. There's so much just

701
00:37:17,280 --> 00:37:19,840
Speaker 1: just go to TBSA dot com. You also can email

702
00:37:19,840 --> 00:37:22,200
Speaker 1: the show anytime you want TPT at tpusa dot com.

703
00:37:22,239 --> 00:37:24,799
Speaker 1: You can email. Whether you agree with every single thing

704
00:37:24,840 --> 00:37:28,160
Speaker 1: we say here or you're wrong, doesn't matter. You can

705
00:37:28,239 --> 00:37:31,120
Speaker 1: email the show TPT at tpusa dot com. We got

706
00:37:31,160 --> 00:37:39,040
Speaker 1: through those fast so we can get to today's Woke Wednesday.

707
00:37:40,200 --> 00:37:43,320
Speaker 1: Thank you highlighter vest lady. You are such an inspiration

708
00:37:43,440 --> 00:37:48,080
Speaker 1: to the wokes out there. When people complain about Doge

709
00:37:48,239 --> 00:37:50,719
Speaker 1: making cuts to the federal government and making cuts to

710
00:37:50,760 --> 00:37:54,840
Speaker 1: people who are supposedly in need, I want those people

711
00:37:54,960 --> 00:37:58,320
Speaker 1: to see this video. This is the wokest of the wokes.

712
00:37:58,360 --> 00:38:00,839
Speaker 1: This is the thing that we have the biggest problem with.

713
00:38:01,480 --> 00:38:02,839
Speaker 1: Watch this. I'm not sure if we're going to watch

714
00:38:02,880 --> 00:38:04,880
Speaker 1: the whole thing because it's disgusting and it gives me

715
00:38:04,920 --> 00:38:06,319
Speaker 1: the ick. But watch this.

716
00:38:06,960 --> 00:38:08,399
Speaker 12: What do I do for work?

717
00:38:09,840 --> 00:38:10,760
Speaker 2: I shall't.

718
00:38:11,840 --> 00:38:17,440
Speaker 12: I'm professionally disabled, and his job.

719
00:38:17,800 --> 00:38:19,920
Speaker 1: Is taking care of the profession.

720
00:38:21,480 --> 00:38:23,879
Speaker 12: He gets paid for taking care of me.

721
00:38:25,480 --> 00:38:26,400
Speaker 11: Instead of doing.

722
00:38:26,239 --> 00:38:26,799
Speaker 6: It for free.

723
00:38:26,880 --> 00:38:27,120
Speaker 7: Here.

724
00:38:27,400 --> 00:38:30,359
Speaker 13: Yeah, yeah, because let's be for real, sometimes taking care

725
00:38:30,400 --> 00:38:36,920
Speaker 13: of it, I have to hate you. I have to

726
00:38:36,960 --> 00:38:40,680
Speaker 13: make sure you're sometimes I have to take you out

727
00:38:40,920 --> 00:38:41,799
Speaker 13: for imaghment.

728
00:38:43,600 --> 00:38:46,719
Speaker 12: You sometimes have to dress me because I won't dress myself.

729
00:38:46,880 --> 00:38:48,600
Speaker 13: Yeah, you're literally not dressed.

730
00:38:48,719 --> 00:38:49,040
Speaker 3: Now.

731
00:38:53,880 --> 00:38:55,720
Speaker 12: You have to make sure that I take my socks

732
00:38:55,800 --> 00:38:58,480
Speaker 12: off because sometimes I forget I'm wearing socks, and then

733
00:38:58,520 --> 00:39:01,200
Speaker 12: I cry about it, and then you're like, are you

734
00:39:01,280 --> 00:39:04,000
Speaker 12: wearing socks? And then I looked out and I'm wearing socks,

735
00:39:04,040 --> 00:39:05,120
Speaker 12: and then I stopped crying.

736
00:39:07,320 --> 00:39:09,160
Speaker 13: And I have to make sure you take your medication.

737
00:39:09,840 --> 00:39:10,200
Speaker 12: Yeah.

738
00:39:10,320 --> 00:39:13,160
Speaker 13: And I have to clean up after you because you're

739
00:39:13,600 --> 00:39:19,600
Speaker 13: capable of doing it most physically. I have to do

740
00:39:19,640 --> 00:39:21,600
Speaker 13: your laundry. You can't get up on the stairs.

741
00:39:22,160 --> 00:39:28,040
Speaker 12: Yeah yeah, yeah.

742
00:39:27,200 --> 00:39:32,520
Speaker 1: Okay, uh. I hope that you have some good cleaner

743
00:39:32,560 --> 00:39:34,960
Speaker 1: in your house to clean up the puke that you

744
00:39:35,080 --> 00:39:39,280
Speaker 1: probably have vomited all over the floor, all over the couch, everywhere.

745
00:39:39,320 --> 00:39:41,560
Speaker 1: It's just so much vomit in so many homes in

746
00:39:41,560 --> 00:39:43,799
Speaker 1: the United States, and I apologize for that. But at

747
00:39:43,800 --> 00:39:47,320
Speaker 1: the same time, people need to see how willing other

748
00:39:47,480 --> 00:39:51,960
Speaker 1: people are to flat out freaking steel from other people,

749
00:39:51,960 --> 00:39:55,600
Speaker 1: from other Americans, from taxpayers. That is theft, that is

750
00:39:55,719 --> 00:40:01,880
Speaker 1: just and the willingness to brag about it blows my mind. Like, look,

751
00:40:02,160 --> 00:40:05,560
Speaker 1: if you're a criminal, don't talk about the crimes publicly,

752
00:40:05,680 --> 00:40:08,239
Speaker 1: openly in front of everybody to see the crime that

753
00:40:08,280 --> 00:40:12,160
Speaker 1: you're committing. Do crime better, not advocating for crime. This

754
00:40:12,239 --> 00:40:14,560
Speaker 1: is not a This is not me condoning crime in

755
00:40:14,600 --> 00:40:16,680
Speaker 1: any way, shape or form. But if you're going to,

756
00:40:17,280 --> 00:40:20,600
Speaker 1: don't be so open about it, which is the actual problem.

757
00:40:20,640 --> 00:40:24,480
Speaker 1: People feel like this, these entitlements are so untouchable that

758
00:40:24,520 --> 00:40:26,880
Speaker 1: I can just tell everyone about it. It makes me

759
00:40:27,080 --> 00:40:31,000
Speaker 1: grind my gears. That's why you need to cut programs

760
00:40:31,000 --> 00:40:33,040
Speaker 1: of people who are milking the system like this. That's

761
00:40:33,040 --> 00:40:35,560
Speaker 1: gonna do it for us today. Wow, I'm angry, and

762
00:40:35,640 --> 00:40:37,960
Speaker 1: I hope you are too. Charlie's gonna take us out.

763
00:40:37,960 --> 00:40:49,080
Speaker 1: We'll see you tomorrow, same time, same place. God bless America.

764
00:40:49,800 --> 00:40:54,239
Speaker 11: It is so hard to realign a government back to

765
00:40:54,360 --> 00:41:01,000
Speaker 11: constitutional purposes. This place wears you down, This place grinds

766
00:41:01,040 --> 00:41:02,760
Speaker 11: you down to a halt.

767
00:41:03,719 --> 00:41:07,239
Speaker 2: It exists. The permanent machine.

768
00:41:06,840 --> 00:41:14,400
Speaker 11: Bureaucracy exists to extinguish the will of a well meaning

769
00:41:14,880 --> 00:41:21,040
Speaker 11: mister Smith goes to Washington. The bureaucracy intentionally plays things slow.

770
00:41:21,120 --> 00:41:26,800
Speaker 11: It intentionally will obfuscate, it will delay, it will shrug

771
00:41:26,840 --> 00:41:29,800
Speaker 11: its shoulders, it will say it has to go to

772
00:41:29,840 --> 00:41:34,120
Speaker 11: a certain committee. It is a war of attrition, you see,

773
00:41:34,160 --> 00:41:38,440
Speaker 11: the permanent deep state bureaucracy. They say, oh, really, you

774
00:41:38,440 --> 00:41:40,920
Speaker 11: guys want to doze us, you want to cut our spending,

775
00:41:41,600 --> 00:41:45,200
Speaker 11: We will outlast you. We're going to be here despite

776
00:41:45,360 --> 00:41:49,320
Speaker 11: when there's elections. And that actually was the original intent

777
00:41:49,480 --> 00:41:54,480
Speaker 11: of Woodrow Wilson, the Wilsonian view of government, which is

778
00:41:54,480 --> 00:41:58,200
Speaker 11: to have a technocracy of elites, of the ruling class

779
00:41:58,239 --> 00:42:01,759
Speaker 11: of the philosopher kings. As Plato would say, that they're

780
00:42:01,760 --> 00:42:04,480
Speaker 11: going to be there permanently, and elections matter less.

781
00:42:04,480 --> 00:42:04,879
Speaker 2: And less.

782
00:42:04,880 --> 00:42:07,440
Speaker 11: And that is one of the questions that is in

783
00:42:07,440 --> 00:42:10,040
Speaker 11: front of us. And this is exactly why I want

784
00:42:10,080 --> 00:42:13,799
Speaker 11: to get into this idea of triple trending counties. It's

785
00:42:13,800 --> 00:42:15,319
Speaker 11: a theme that we talk about a lot here on

786
00:42:15,360 --> 00:42:18,440
Speaker 11: this program because what we're seeing unfold Washington, DC. And

787
00:42:18,440 --> 00:42:20,839
Speaker 11: I was meeting with some White House staff last night

788
00:42:20,880 --> 00:42:23,040
Speaker 11: and they are working so hard and they deserve such

789
00:42:23,080 --> 00:42:27,799
Speaker 11: credit because the energy alone just to get basic stuff done,

790
00:42:28,360 --> 00:42:31,799
Speaker 11: it will it will take your entire afternoon to just

791
00:42:31,880 --> 00:42:34,200
Speaker 11: get a very simple thing done. Where in the private

792
00:42:34,200 --> 00:42:37,200
Speaker 11: sector at turning Point, USA, I say it and it

793
00:42:37,239 --> 00:42:41,600
Speaker 11: gets done. I want to have an event on this day, Yes,

794
00:42:41,719 --> 00:42:42,480
Speaker 11: Charlie will do that.

795
00:42:42,640 --> 00:42:45,560
Speaker 2: Thank you. We want to have this speaker. Yes, we

796
00:42:45,600 --> 00:42:49,520
Speaker 2: will do that. Thank you. Where in this White House?

797
00:42:50,360 --> 00:42:52,560
Speaker 11: Because of the deep state government, It's like I want

798
00:42:52,560 --> 00:42:54,200
Speaker 11: to go to Saudi Arabia, Well you might have to

799
00:42:54,200 --> 00:42:57,240
Speaker 11: do this this this and only because of President Trump's

800
00:42:57,680 --> 00:43:00,080
Speaker 11: brute force is he able to be this productive. If

801
00:43:00,120 --> 00:43:03,480
Speaker 11: you remember, is Joe Biden staffers that came out and

802
00:43:03,480 --> 00:43:05,080
Speaker 11: they said, I wish we worked for a White House

803
00:43:05,080 --> 00:43:06,280
Speaker 11: when Joe Biden was president.

804
00:43:06,400 --> 00:43:08,760
Speaker 2: That was as agile, that was as.

805
00:43:10,120 --> 00:43:14,320
Speaker 11: Problem solving as entrepreneurial as President Trump. But the struggle

806
00:43:14,400 --> 00:43:19,640
Speaker 11: in front of us is will elections.

807
00:43:20,640 --> 00:43:21,680
Speaker 2: Continue to matter?

808
00:43:22,440 --> 00:43:26,759
Speaker 11: Or will elections be ceremonial no different than putting in

809
00:43:27,120 --> 00:43:29,239
Speaker 11: the King of England as someone who is there to

810
00:43:29,360 --> 00:43:33,640
Speaker 11: greet Super Bowl champions, cut ribbons, fly around the country

811
00:43:33,640 --> 00:43:36,960
Speaker 11: and be nothing more than a glorified spokesperson for the country.

812
00:43:37,280 --> 00:43:40,440
Speaker 11: Are we looking at a similar presidency that is, a

813
00:43:40,480 --> 00:43:44,160
Speaker 11: presidency in name only, no different than the monarchy in

814
00:43:44,200 --> 00:43:49,839
Speaker 11: the United Kingdom. The New York Times did a amazing

815
00:43:49,920 --> 00:43:52,040
Speaker 11: story this last weekend, and I got to be honest,

816
00:43:52,080 --> 00:43:54,040
Speaker 11: every so often the New York Times just crushes it

817
00:43:54,080 --> 00:43:55,160
Speaker 11: with their data analysis.

818
00:43:55,200 --> 00:43:57,600
Speaker 2: You just got to you got to call strikes.

819
00:43:59,239 --> 00:44:01,040
Speaker 11: The New York Times, which by the way, is like

820
00:44:01,080 --> 00:44:03,520
Speaker 11: the least radical of all the rags. The Washington Post

821
00:44:03,560 --> 00:44:05,360
Speaker 11: has gone. I mean, there's so many of these that

822
00:44:05,360 --> 00:44:06,959
Speaker 11: are just gone. The New York Times every so often

823
00:44:06,960 --> 00:44:09,919
Speaker 11: has a little glimmer of hope that they still are

824
00:44:10,360 --> 00:44:13,560
Speaker 11: holding on too. Wanted to be a respectable newspaper. And

825
00:44:13,560 --> 00:44:16,320
Speaker 11: Andrew will tell you we deal with reporters in every

826
00:44:16,520 --> 00:44:19,319
Speaker 11: single major outlet. At least the New York Times will

827
00:44:19,320 --> 00:44:21,320
Speaker 11: allow us to talk to them. Some of these major outlets,

828
00:44:21,400 --> 00:44:24,319
Speaker 11: they won't even take your phone call anyway. So what

829
00:44:24,360 --> 00:44:27,320
Speaker 11: the New York Times did is they did a story

830
00:44:27,360 --> 00:44:30,200
Speaker 11: of how all the counties, basically, how many counties have

831
00:44:30,239 --> 00:44:34,240
Speaker 11: been moving right in America in the last three presidential elections.

832
00:44:34,280 --> 00:44:35,920
Speaker 11: And that what was so interesting about what the New

833
00:44:36,000 --> 00:44:37,839
Speaker 11: York Times did well the New York Times that as

834
00:44:37,840 --> 00:44:40,600
Speaker 11: they analyze the twenty sixteen, the twenty twenty, and the

835
00:44:40,640 --> 00:44:43,640
Speaker 11: twenty twenty four electoral map, because that is now three

836
00:44:43,719 --> 00:44:46,800
Speaker 11: election cycles over the course of a decade, of whether

837
00:44:46,880 --> 00:44:50,840
Speaker 11: or not this is a permanent right wing shift in

838
00:44:50,880 --> 00:44:53,560
Speaker 11: our country. And the visuals are very powerful. We gonna

839
00:44:53,560 --> 00:44:56,440
Speaker 11: put them up on screen. They are dramatic, and they

840
00:44:56,560 --> 00:44:58,319
Speaker 11: coined a term and I like it and I want

841
00:44:58,320 --> 00:44:59,120
Speaker 11: to emphasize it.

842
00:44:59,520 --> 00:45:01,560
Speaker 2: Let's get the the actual national map up on screen.

843
00:45:01,600 --> 00:45:03,319
Speaker 11: So what you're seeing here is the percentage with a

844
00:45:03,360 --> 00:45:05,840
Speaker 11: college degree by county that shifted right. If you're on

845
00:45:05,880 --> 00:45:07,920
Speaker 11: podcasting or radio, We're gonna put this up on screen.

846
00:45:08,200 --> 00:45:10,640
Speaker 11: But the big one is two twenty. Let's put two

847
00:45:10,640 --> 00:45:12,440
Speaker 11: twenty up on screen. I want to get this framed

848
00:45:12,440 --> 00:45:15,480
Speaker 11: in our office because that just goes to show the

849
00:45:15,520 --> 00:45:18,439
Speaker 11: behemoth of the work that we accomplished at turning Point

850
00:45:18,440 --> 00:45:21,759
Speaker 11: action alongside obviously President Trump and the entire team and

851
00:45:21,800 --> 00:45:26,480
Speaker 11: the social media juggernaut. The entire country moved to the right.

852
00:45:26,920 --> 00:45:29,440
Speaker 11: It's not just one localized area. Now, there were some

853
00:45:29,560 --> 00:45:31,480
Speaker 11: places in America that moved to the left. Let's put

854
00:45:31,480 --> 00:45:35,280
Speaker 11: this up on screen. The suburbs of Atlanta, big problems, everybody.

855
00:45:35,360 --> 00:45:35,680
Speaker 2: Huge.

856
00:45:36,480 --> 00:45:39,800
Speaker 11: In fact, the suburbs of Atlanta were and the exurbs

857
00:45:39,840 --> 00:45:44,080
Speaker 11: of Atlanta were the most left leaning, left tilting per

858
00:45:44,200 --> 00:45:46,840
Speaker 11: capita of any counties in the country in the last

859
00:45:46,960 --> 00:45:52,760
Speaker 11: three election cycles. The suburbs of Denver, Santa Fe, New Mexico,

860
00:45:52,840 --> 00:45:56,440
Speaker 11: a couple places in Oklahoma, a couple places in Central Indiana.

861
00:45:57,000 --> 00:45:58,719
Speaker 11: And so we have a Georgia problem. We're going to

862
00:45:58,800 --> 00:46:01,839
Speaker 11: diagnose that. We're going to do another entire show on

863
00:46:01,880 --> 00:46:03,960
Speaker 11: that at a different time. Dallas a little bit, but

864
00:46:04,160 --> 00:46:07,440
Speaker 11: nothing too noteworthy. But again, let's go back to the REDMP.

865
00:46:07,480 --> 00:46:11,120
Speaker 11: I mean, these are the counties that, just just to

866
00:46:11,160 --> 00:46:13,239
Speaker 11: go to be clear, let's go back. These are the

867
00:46:13,239 --> 00:46:16,280
Speaker 11: counties that moved right in all three elections that Trump

868
00:46:16,320 --> 00:46:19,600
Speaker 11: ran in. Almost fifty million people live in these counties,

869
00:46:20,400 --> 00:46:22,359
Speaker 11: So this is not just some sample size, and these

870
00:46:22,400 --> 00:46:25,360
Speaker 11: are counties that were otherwise Blue strongholds. As you can

871
00:46:25,400 --> 00:46:28,359
Speaker 11: see in Florida, every single county moves dramatically to the right.

872
00:46:28,880 --> 00:46:32,400
Speaker 11: So basically what the New York Times put together is

873
00:46:32,400 --> 00:46:36,920
Speaker 11: something called triple trending counties. These are counties that trended

874
00:46:37,160 --> 00:46:41,000
Speaker 11: to the right in all three elections that were previously

875
00:46:42,560 --> 00:46:46,000
Speaker 11: controlled by Democrats. The first of which is something a

876
00:46:46,040 --> 00:46:50,560
Speaker 11: county called Clinton County, New York. The historical trend was

877
00:46:50,600 --> 00:46:54,640
Speaker 11: that it was traditionally a Democrat leaning county. Clinton County,

878
00:46:54,680 --> 00:46:57,600
Speaker 11: New York is a great example of how the Republican

879
00:46:57,640 --> 00:47:01,040
Speaker 11: Party has remade the electorate and read the political map

880
00:47:02,320 --> 00:47:04,600
Speaker 11: in recent elections. In two thousand and eight, Barack Obama

881
00:47:04,640 --> 00:47:08,359
Speaker 11: won it by twenty two points. In twenty twenty, Joe

882
00:47:08,400 --> 00:47:10,640
Speaker 11: Biden won it by five point two points, but in

883
00:47:10,680 --> 00:47:13,440
Speaker 11: twenty twenty four, Donald Trump flipped the county, winning by

884
00:47:13,480 --> 00:47:16,880
Speaker 11: two points. Another good one to look at is Suffolk County,

885
00:47:17,400 --> 00:47:21,760
Speaker 11: considered a swing county with fluctuating support between both parties.

886
00:47:22,000 --> 00:47:24,040
Speaker 11: In twenty twenty, Donald Trump won it by two hundred

887
00:47:24,000 --> 00:47:26,239
Speaker 11: and thirty two votes, but in twenty twenty four, Donald

888
00:47:26,239 --> 00:47:30,480
Speaker 11: Trump secured fifty four percent of the vote, the highest percentage.

889
00:47:30,080 --> 00:47:34,279
Speaker 2: Since nineteen eighty eight. That is Suffolk County, New York.

890
00:47:34,800 --> 00:47:36,839
Speaker 11: And then, of course there's the Wow counties, which we've

891
00:47:36,840 --> 00:47:41,840
Speaker 11: done a lot of work in Wisconsin, waukeshaw Ozaqui, and Washington.

892
00:47:43,400 --> 00:47:45,680
Speaker 11: In twenty twenty, Donald Trump received sixty percent of the

893
00:47:45,719 --> 00:47:48,719
Speaker 11: vote in these counties, and he did even better in

894
00:47:48,760 --> 00:47:49,520
Speaker 11: twenty twenty four.

895
00:47:49,560 --> 00:47:50,640
Speaker 2: These are triple.

896
00:47:50,320 --> 00:47:54,400
Speaker 11: Trending counties, which shows that the entire country, absent a

897
00:47:54,400 --> 00:47:56,320
Speaker 11: couple of little pockets, is moving to the right.

898
00:47:56,600 --> 00:47:57,399
Speaker 2: Why is this