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Speaker 1: There are an increasing amount of mermaids in the Washington,

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Speaker 1: DC metropolitan area. Seriously, the Washington Post is reporting on it. Also,

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Speaker 1: the Cincinnati police chief berated people on social media for

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Speaker 1: sharing something that turned into a pretty massive story, especially

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Speaker 1: in the conservative side of the aisle. And lastly, the

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Speaker 1: flat tax is gaining ground. A fifteenth state says, hey,

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Speaker 1: we're gonna do the flat tax. The flat tax revolution

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Speaker 1: is here, hopefully, and I understand that it's kind of

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Speaker 1: a boring topic, but don't worry, we'll make it fun.

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Speaker 1: All that and more coming up on this episode of

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Speaker 1: Turning Point Tonight. My name is Joe Bob. Thanks so

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Speaker 1: much for tuning in. Together, we are charting the course

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

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Speaker 1: before we get to any of those stories into our

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Speaker 1: fantastic panel, let me say this. Generally speaking, we like

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Speaker 1: to sell advertisements on this sort of program. How you

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Speaker 1: make money, that's how you stay in business, So I

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Speaker 1: don't like necessarily showing advertisements for free. But apparently the

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Speaker 1: Sydney Sweeney American Eagle Gene commercial has gained so much

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Speaker 1: traction that we're gonna basically play an American Eagle ad

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Speaker 1: for free because I don't know, we don't want to

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Speaker 1: sell the ads, or because the libs have lost their

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Speaker 1: mind so much. Now, last week American Eagle put out

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Speaker 1: a commercial campaign with Sydney Sweeney, arguably and probably objectively

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Speaker 1: one of the more attractive females in the media slash

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Speaker 1: entertainment space, and the libs lost their mind. Now, the

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Speaker 1: first couple days of this is kind of like, yeah,

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Speaker 1: you find just go go away, don't. We don't want

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Speaker 1: to hear about it. Whatever, And then this week it

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Speaker 1: reached a whole new fever pitch. Late Sunday night into

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Speaker 1: Monday morning, you started seeing TikTokers say, well, the new

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Speaker 1: ad campaign is Nazi ashes, of which again we all

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Speaker 1: rolled our eyes and kind of thought this is just

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Speaker 1: an internet story. But today it was on Good Morning America,

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Speaker 1: ABC's flagship news show, had a story which we're gonna

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Speaker 1: play you, in which they gave fuel to the fire

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Speaker 1: of Nazi propaganda because Sidney Sweeney happens to be very

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Speaker 1: nice to look at, I think objectively, So all of

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Speaker 1: a sudden, it's just the just I can't even I

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Speaker 1: can't even let's bring in our panel before we watch

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Speaker 1: this ABC clip christ and Sokoloff as a conservative commentator

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Speaker 1: and alma, uh oh hennay a pair. I'm so sorry,

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Speaker 1: I asked him at the beginning, but I realized I'm

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Speaker 1: gonna how do you say your last name? Oh heiney

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Speaker 1: o Pari, oh henny o Pari. Thank you so much.

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Speaker 1: I appreciate that. Guys, thanks for so much for joy

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Speaker 1: to me.

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Speaker 2: Thank you for the having us. Great to be here.

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Speaker 1: Guys, I want to I want to get your reaction

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Speaker 1: to this. This is a clip from ABC This Morning,

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Speaker 1: just giving fuel to the fire that I think we

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Speaker 1: all thought only existed on the internet. Now it is mainstream.

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Speaker 1: Hot chicks are apparently Nazi fascist propaganda. Check this out.

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Speaker 3: I'm to check the pulse.

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Speaker 4: We begin with the backlash over our new ad campaign

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Speaker 4: featuring actress Sidney Sweeney.

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Speaker 5: The ads are for American Eagle and the tagline is

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Speaker 5: Sidney Sweeney has great Genes Now. In one ad, the blondehair,

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Speaker 5: blue eyed actress talks about genes as in DNA, being

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Speaker 5: passed down from her parents.

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Speaker 4: The play on words is being compared to Nazi propaganda

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Speaker 4: with racial undertones.

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Speaker 6: The pun good genes activates a troubling historical associations for

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Speaker 6: this country. The American eugenics movement and it's prime between

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Speaker 6: like nineteen hundred and nineteen forty, weaponized the idea of

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Speaker 6: good genes just to justify white supremacism.

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Speaker 5: Despite that backlash, American eagle sock has been soreing.

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Speaker 1: I like that last part of them, despite that backlash.

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Speaker 1: Everybody likes looking at nice to look at women in

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Speaker 1: nice looking jeans. Kristen, I think the biggest part there

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Speaker 1: that I thought was interesting is I think some producer

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Speaker 1: at ABC said, hey, we're going to run with this headline,

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Speaker 1: and we have to find somebody who hates this, and

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Speaker 1: they found somebody from Keen University. I'm not even sure

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Speaker 1: where that is, some just obscure random place. Good we

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Speaker 1: found one. How long do you think they were looking

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Speaker 1: before they could find somebody that had agreed with their

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Speaker 1: ridiculous sentiment over this ad?

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Speaker 2: Oh, honestly, probably not long. Because you know, really, what we're.

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Speaker 7: Seeing here is the death rattle of legacy media. When

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Speaker 7: they're sinking their teeth into something so asinine, it really

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Speaker 7: shows you what stage they're at, and you know what

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Speaker 7: they're really mad at is she's wearing a Canadian tuxedo. Effects,

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Speaker 7: So I'm like, we want to get mad at it,

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Speaker 7: you know, but yeah.

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Speaker 2: No, they're desperate.

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Speaker 7: It's pretty ridicul And you know, I have to just

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Speaker 7: say the whole genes thing. When I met my future

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Speaker 7: in laws, I was sizing them up to see what

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Speaker 7: kind of genetics I was marrying into what my kids

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Speaker 7: were going to look like?

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Speaker 2: Are they morbid leobes?

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Speaker 7: Did somebody die of heart failure at age thirty five?

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Speaker 8: Right?

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Speaker 2: So, like, there's nothing wrong with sizing up genetics.

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Speaker 1: Yeah, that's it's just the hilarity of it. I like

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Speaker 1: the descriptors you used there. Alma, Okay, so bear with

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Speaker 1: me here. I'm curious. There is a clip, Glenn, I

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Speaker 1: think we have it in the clip of a photo

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Speaker 1: from Sidney Sweeney's mom's sixtieth birthday. Why do I bring

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Speaker 1: that up? Because she got a ton of backlash because

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Speaker 1: if you'll see in the photo, her dad is wearing

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Speaker 1: a thin blue line American flag, obviously in support of

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Speaker 1: law enforcement. There are also people at this party. Sidney

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Speaker 1: Sweeney didn't post about it, but there are people at

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Speaker 1: the party daring to wear make America great again. Hats Alma.

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Speaker 1: Do you think this quote unquote backlash is due to

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Speaker 1: the fact that Sidney's his family might just be not Communists,

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Speaker 1: as is commonplace in the entertainment industry.

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Speaker 9: Exactly exactly.

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Speaker 10: It seems as though there is a cabal that is

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Speaker 10: now interested in digging through every social interaction to find

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Speaker 10: something that is not there. And the question I always

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Speaker 10: ask myself is how come they hear dog whistles everywhere?

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Speaker 1: It seems like.

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Speaker 10: I'm not a dog, and so I don't hear dog whistles,

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Speaker 10: but it seems like a lot of people on the

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Speaker 10: left constantly are hearing dog whistles. And the funny thing

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Speaker 10: to me is that they never went the angle of, well,

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Speaker 10: maybe this is a bad marketing tactic or bad marketing campaign.

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Speaker 10: They immediately went to, oh, they are trying to bring

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Speaker 10: back Nazi propaganda, which is like an intentional accusation that

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Speaker 10: this is what they were trying to do rather than

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Speaker 10: sell genes. And I was just thinking for a long time,

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Speaker 10: I am five foot seven, and I wished I had

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Speaker 10: the jeans that would have allowed me to play basketball.

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Speaker 9: In the NBA. I don't have those jeans.

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Speaker 10: And the funny thing is In that clip, the person

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Speaker 10: one of the newscasters made sure to say she had

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Speaker 10: blonde hair and blue eyes.

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Speaker 9: I'm like, what does that have to do with anything?

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Speaker 10: So they were literally trying to retrofit, you know, her

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Speaker 10: genetics to the story of Nazism, which is kind of

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Speaker 10: ironic that you know, that's where they go every time.

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Speaker 7: Yeah, everything if it was brown hair and green eyes

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Speaker 7: for me, right, it's just basically white.

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Speaker 2: So that's the problem.

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Speaker 1: Everyone's a fascist and everything is Nazism, such as the Libs. Now,

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Speaker 1: I guarantee you it's almost a matter of time before

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Speaker 1: they start calling this fascism or whatever it is. I

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Speaker 1: recognize this is not the most sighting topic, but Ohio

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Speaker 1: became the fifteenth state in the Union to join the

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Speaker 1: flat tax revolution. They issued a flat tax for their

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Speaker 1: income tax. Now I'm not saying that I approve of

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Speaker 1: income tax at the state level. Nine states have zero

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Speaker 1: income tax, so I'd rather than be there. But overall,

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Speaker 1: the progressive income tax and I say that both describing

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Speaker 1: progressives who pursue this sort of thing, but actually how

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Speaker 1: the tax steps work. I think you all know how

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Speaker 1: taxes work. I'm imagining Finally, there's a more momentum on

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Speaker 1: the side of Hey, it's just gonna be one flat tax.

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Speaker 1: Rich people are gonna pay more because that's how percentages work. Christen,

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Speaker 1: do you think Libs are going to take issue with

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Speaker 1: this and do you think this might kind of become

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Speaker 1: a catalyst for a bigger movement that just says, hey,

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Speaker 1: flat tax across the board, that's what we want to

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Speaker 1: have in this country. Yeah.

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Speaker 7: I think some will be surprised to find that this

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Speaker 7: is not only happening. So these fifteen states, those are

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Speaker 7: not all red states. Even see Colorado and little list

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Speaker 7: together here. Michigan is one, Pennsylvania the swing state, but

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Speaker 7: Colorado four point four, so Ohio.

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Speaker 2: I know, they just came in and.

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Speaker 7: They're running with the second lowest two seven five. I

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Speaker 7: absolutely think this is trending over trending in the right direction,

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Speaker 7: and I see this being a win for both sides.

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Speaker 7: And you know, I'm here in Oregon. I don't know

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Speaker 7: if you guys know, I'm actually in Portland, Oregon. Wild

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Speaker 7: to be a conservative here, but we want to you know,

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Speaker 7: look at the tax structure here in Oregon. We have

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Speaker 7: one of the most aggressive progressive tax systems in the country.

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Speaker 7: And I can't wait to have this be a talking

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Speaker 7: point in my state.

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Speaker 1: Wow, I didn't know you were in Oregon. Congratulations on

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Speaker 1: the good coffee. Sorry about the communism, al.

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Speaker 2: So be really thick skined to live here.

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Speaker 1: I would imagine one of the big problems with a

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Speaker 1: progressive tax rate is you have a bunch of lives

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Speaker 1: and heavy interested people saying trying to get carve outs

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Speaker 1: for like this doesn't count for this, and this does

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Speaker 1: encount for this. The flat tax. It doesn't eliminate that entirely,

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Speaker 1: but it really really substantially knocks that down. Why is

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Speaker 1: it that the people that claim to be anti corruption

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Speaker 1: on the lefty side of the aisle keep pushing a

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Speaker 1: progressive tax system which allows for a lot of corruption.

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Speaker 10: It's always kind of oxymoronic for me, because the people

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Speaker 10: who talk about fairness the most right the want things

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Speaker 10: to be fair, and their entire political ideology is on

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Speaker 10: the foundation of creating fairness. But somehow they can't see

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Speaker 10: their way to a fair tax system or a system

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Speaker 10: where everybody knows exactly what they need to pay. We

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Speaker 10: eliminate all the sweetheart loopholes that certain people are able

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Speaker 10: to carve off for themselves and actually allow the government

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Speaker 10: to be able to estimate very clearly how much they're

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Speaker 10: going to get from the tax, which will create.

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Speaker 9: More efficiencies in the system.

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Speaker 10: So it's always strange to me that, you know, they

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Speaker 10: go against things for this, because at the end of

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Speaker 10: the day, their idea of fairness seems to be just

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Speaker 10: superficial fairness, because in the end, the kind of fairness

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Speaker 10: they always go for end up hurting the people they

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Speaker 10: claim they want to protect with their progressive tax system.

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Speaker 10: That seems to be the case exactly.

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Speaker 1: Yeah, you know, considering the things that they're trying to

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Speaker 1: push into the world. We don't have a ton of

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Speaker 1: time to get to a full commentariance, but let me

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Speaker 1: just set this up. A new poll, this is from

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Speaker 1: the Associated Press, says that US consumer confidence has improved

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Speaker 1: slightly in July. But they had to throw this in there,

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Speaker 1: but Americans remained concerned about tariffs because we told them

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Speaker 1: that they should be concerned about teriffs. Consumer confidence ticked up,

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Speaker 1: and it was also in line with what analysts thought

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Speaker 1: was going to happen. So pretty much everybody except for

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Speaker 1: the media who wants to keep telling you, hey, you

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Speaker 1: gotta be scared of terrorists, says, yeah, we kind of

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Speaker 1: expected this. Kristin one word, how do you feel about

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Speaker 1: the economy going forward?

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Speaker 7: I mean, as soon as we knew Trump was going

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Speaker 7: to be back in office, the confidence skyrocketed.

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Speaker 2: So it's obvious that we see who's in control.

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Speaker 7: He's a businessman, he's doing what he does well, and

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Speaker 7: it's just, you know, a vast difference from what we

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Speaker 7: saw in the Biden era.

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Speaker 1: Yeah, I would say, so, Alma, you got a quick thought.

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Speaker 10: I was gonna say, America is winning again and optimism

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Speaker 10: is back, and I'm really glad to be part of

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Speaker 10: that new world.

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Speaker 1: I'm not tired of winning. I do get tired from winning.

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Speaker 1: There's so much winning that I just sleep like a

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Speaker 1: baby at night, which is you know what, I think,

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Speaker 1: what you want?

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Speaker 2: Kristin.

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Speaker 1: All will be back after the break to discuss I

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Speaker 1: wish I were kidding with you. Mermaids. They're very, very

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Speaker 1: expansive and probably invasive in the DC metropolitan area. Don't

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Speaker 1: go away. It'll be right back after the break.

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

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

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Speaker 3: At Turning Point, USA.

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Speaker 12: We've spent thirteen years building the machine, and last year

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Speaker 12: we sought payoff. Our grassroots army is making a real difference.

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Speaker 3: Help us keep the momentum going.

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

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Speaker 13: And for a gift of any amount, you'll receive your

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Speaker 13: big Gov sucks cooler claim yours today.

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

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Speaker 1: charting the course of America's cultural comeback. Thanks so much

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Speaker 1: for sticking with us. Let's checkond with Monica page Turning Points.

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Speaker 1: White House correspondent, Monica. The President is meeting Sorry, sorry,

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Speaker 1: he's not meeting one of his closest and best friends

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Speaker 1: that he really just loves and supports enthusiastically. Jerome Palell

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Speaker 1: is meeting with the other members of the Federal Reserve

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Speaker 1: Board today. What does the White House saying and what's

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Speaker 1: going on on that front.

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Speaker 8: Yeah, we saw a little bit of that love hate

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Speaker 8: romance when the President visited the renovations, those three point

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Speaker 8: one billion dollars renovations. But essentially this meeting it was

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Speaker 8: happening today. It happened this morning where this committee of

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Speaker 8: around twelve people got together, ether'd to discuss, discuss where

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Speaker 8: these rates are, where they should cut them, not cut them.

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Speaker 8: Kind of taking a lot of factors into consideration regarding this.

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Speaker 8: But Wall Street says, we're they're not going to cut

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Speaker 8: those rates.

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Speaker 3: The President, on.

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Speaker 8: The other hand, is kind of confident that that the

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Speaker 8: Fed chuer is going to cut those rates because of

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Speaker 8: his meeting behind closed doors that he had. Essentially, where

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Speaker 8: things stand right now interest rates around four point two

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Speaker 8: five four point five percent, but the President wants the

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Speaker 8: Fed to cut that down three whole points through around

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Speaker 8: one point twenty five percent. So if they vote to

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Speaker 8: not cut these rates tomorrow, we should expect that announcement tomorrow.

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Speaker 8: By the way, then they hold another vote this next

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Speaker 8: October where they can try this vote again and if

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Speaker 8: not Benefedcher has about nine months May twenty twenty six,

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Speaker 8: his term is up, so we'll see how the President

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Speaker 8: reacts if they do cut the rates, If they don't

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Speaker 8: cut the rates, like you said previously, Joe, Bob, we'll

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Speaker 8: all find out together and sure will be hell to

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Speaker 8: pay if those fits if those rates don't get cut.

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Speaker 1: Yeah, we'll all find out together. If I were if

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Speaker 1: I were betting man, and this is not a I'm

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Speaker 1: taking sides or anything. I'm just saying I'm not sure

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Speaker 1: it's gonna get a rate cut despite what the President wants.

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Speaker 1: There is a lot of analysts out there saying that

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Speaker 1: it's still too hot. Well, okay, we'll all find out together.

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Speaker 1: I'm not saying I do want that to happen or

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Speaker 1: I don't want that to happen. It's just kind of

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Speaker 1: my kind of my feeling that I'm getting. But man,

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Speaker 1: the other news in the day, we haven't really talked

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Speaker 1: about it here much tonight, probably because you know, it's

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Speaker 1: a horror, horrific situation. The President weighed in on the

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Speaker 1: shooting in New York City last night yesterday afternoon, and

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Speaker 1: then he weighed in later on in the day. What

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Speaker 1: did he say and what's his current message.

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Speaker 8: Yeah, essentially that tried shooting last night saw the life

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Speaker 8: being taken of Ditteral Islam and YPD officer in the

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Speaker 8: forty seventh precinct in the Bronx. He has two kids

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Speaker 8: and his wife is pregnant with a third. Actually she's

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Speaker 8: due next month, which is really tragic and just absolutely devastating.

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Speaker 8: The President taking to truth social saying that his part

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Speaker 8: is with that family, and of course he actually called

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Speaker 8: New York City Mayor Eric Adams to express his condolences

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Speaker 8: as well. I'm curious to know if the President has

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Speaker 8: any plans to go to that wake, to go to

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Speaker 8: that funeral, because back on the campaign trail, the President

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Speaker 8: went to Jonathan Diller's funeral, his wake and met with

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Speaker 8: Jonathan Diller's family and close friends, et cetera, when he

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Speaker 8: was killed during a traffic stop. So I will be

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Speaker 8: interested to see if the President does make that decision

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Speaker 8: to go sometime this week, next week, whenever that may be.

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Speaker 8: Because New York City is the President's backyard, I mean,

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Speaker 8: that is his home essentially at the end of the day.

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Speaker 8: So obviously more details are unfolding as this continues on

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Speaker 8: this investigation, but of course, see the less of an

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Speaker 8: NYPD officer is always just completely gutrunching.

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Speaker 1: Yeah, it's a horrible situation over there, and don't want

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Speaker 1: to labor on it too long. I'm sure there's people

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Speaker 1: that are been hearing about it all yesterday and today.

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Speaker 1: But glad the President is, you know, taking an active

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Speaker 1: role in his part. Monica pay Turning Points, White House Correspondent,

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Speaker 1: Thanks so much for checking in. Thanks you, guys, Thank you.

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Speaker 1: We've all probably seen the horrific video outside of a

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Speaker 1: music festival in Cincinnati. It's been shared hundreds of thousands,

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Speaker 1: if not millions of times. We're not gonna play it

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Speaker 1: here because I just don't feel like you need to

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Speaker 1: see that. If you really want to go see the

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Speaker 1: again horrific incident in Cincinnati, you can go search it

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Speaker 1: out for yourself. What I found extremely problematic is how

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Speaker 1: the police chief effectively berated people for sharing this video online,

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Speaker 1: saying it's not the whole story. Let's bring in our

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Speaker 1: panel Alma and Kristen. Guys, Kristin, well, okay, so let's

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Speaker 1: actually what Let's stay Let's watch the police chief basically say, hey,

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Speaker 1: how dare you share this news and be effectively your

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Speaker 1: own reporters and journalists. This is shocking and troubling, to

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Speaker 1: say the least. Check it out social media.

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Speaker 14: The post that we've seen does not depict the entire incident.

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Speaker 14: That is one version of what occurred. At times, social

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Speaker 14: media and mainstream media and their commentaries are misrepresentation of

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Speaker 14: the circumstances surrounding any given event.

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Speaker 1: Christen, there is a little bit of truth that I

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Speaker 1: understand what she's saying, but in this particular instance, what

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Speaker 1: are you supposed to Oh okay, so it's fine, then

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Speaker 1: we just won't talk about it it we'll just sweep

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Speaker 1: it under the rug because effectively, and this was the

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Speaker 1: big conservative pushback was nobody was covering this until we

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Speaker 1: all started sharing it. What are your thoughts?

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Speaker 7: Yeah, Actually, I'm a wife of a Portland police officer here,

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Speaker 7: so I pay a lot of attention to crime, and

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Speaker 7: quite frankly, I'm getting sick of seeing all of these,

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Speaker 7: uh you know, female police chiefs and female police commissioner

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Speaker 7: for NYPD, a lot of them don't even have the

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Speaker 7: actual policing history. So so here we have her up

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Speaker 7: here and she's it's like blaming the bullet right like that.

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Speaker 7: That gets old.

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Speaker 2: It's a tired thing.

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Speaker 7: It's a cop out, pardon my my pun there. But

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Speaker 7: instead of taking ownership of the leadership piece of it

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Speaker 7: and and the lack of pursuing charges for criminals, here

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Speaker 7: we have her just blaming the bullet.

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Speaker 2: You know, It's it's typical.

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Speaker 1: Christ and I have to push back on some of

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Speaker 1: your commentary. If if that police chief was coming after

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Speaker 1: me and I had done the crime, I would be

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Speaker 1: I would be scared. I'd be shaking in my boots.

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Speaker 7: You know, my husband gets on me for always call.

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Speaker 7: I'm like, what you know, with the with the per

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Speaker 7: small percentage of female officers out there, why are so

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Speaker 7: many of them at the top?

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Speaker 2: You know, I could really go into that. I will

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Speaker 2: spare you, but you say, that.

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Speaker 1: Sounds like a great three our podcast, but unfortunately not

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Speaker 1: the time necessarily, Alma, your kind of thoughts on this,

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Speaker 1: because we've seen so many instances where social media has

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Speaker 1: gotten a story that otherwise would have been just completely

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Speaker 1: left alone to media attention, to mainstream attention seems to

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Speaker 1: be like, in this case, what are your thoughts on this?

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Speaker 1: Police chief saying otherwise?

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Speaker 10: So I was trying to understand where she was coming from.

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Speaker 10: But then, you know, I know, it's almost a cliche

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Speaker 10: that anything that happens, we say it was taken out

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Speaker 10: of context. But then I asked myself what context makes

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Speaker 10: any of this remotely acceptable? Like if there's some context

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Speaker 10: that we could find and that we could look at

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Speaker 10: that suddenly explains what was going on and makes us

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Speaker 10: feel calm about it, it doesn't make sense to me.

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Speaker 9: So yes, I understand that.

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Speaker 10: Yeah, you know, social media things are shared and can

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Speaker 10: get amplified and create all sorts of challenges for the

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Speaker 10: cops who are investigating the on the ground.

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Speaker 9: But she missed a point.

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Speaker 10: Completely because she was talking about context and she said,

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Speaker 10: you know, we didn't see the beginning of the video,

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Speaker 10: and I'm like, so what so beating a person to

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Speaker 10: a pulp on the ground is somehow, you know, justified,

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Speaker 10: because we would you know, find something that happened before

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Speaker 10: that justifies It doesn't make any sense to me.

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Speaker 1: That is a great point. I in my mid thirties,

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Speaker 1: I can't find a single situation where I wouldn't just

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Speaker 1: walk away or like, oh you insulted your family, Okay, fine,

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Speaker 1: unless I'm in physical danger. I've seen no reason to

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Speaker 1: fight anybody for any sort of insult, which I think

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Speaker 1: is what they're trying to allude to here. Guys, I

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Speaker 1: know the audience has been waiting for this full team

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Speaker 1: coverage on the mermaid epidemic in Washington, d C. This

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Speaker 1: is a real headline from the Washington Post. In a

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Speaker 1: stressful human world, Mermaiding gains popularity in the DC area.

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Speaker 1: Christin enthusiasts say that the trend of resting up as mermaids,

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Speaker 1: taking shelfies and swimming in pods at local pools is

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Speaker 1: a unique way to escape from everyday concerns. Now, I

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Speaker 1: don't condone this behavior, but what happened to gird old

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Speaker 1: fashioned alcoholism?

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Speaker 7: Well, speaking of that, that police commissioner, that police chief

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Speaker 7: is actually trying to blame the bartenders for overserving.

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Speaker 2: Yeah yeah, I don't know.

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Speaker 7: If you guys caught that, but yeah, so she's also yeah,

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Speaker 7: but anyways, bringing it back to uh, yeah, I live

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Speaker 7: in you know, like I said, Portland, Oregon, we see

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Speaker 7: a lot of the bright colored hair. I feel like

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Speaker 7: this is an extension of that mental illness. Someone said

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Speaker 7: it best. I think it was Jordan Peterson. You know,

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Speaker 7: those that wear all these wild things and they're wanting

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Speaker 7: this attention. You think about the most poisonous frogs that

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Speaker 7: the most you know, brightly colored. When folks do stuff

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Speaker 7: like this, it's almost like they're showing you that they're

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Speaker 7: toxic on the outside. So it's a mental mental health

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Speaker 7: illness in my opinion.

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Speaker 1: Yeah, I would say so. And again I'm making a

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Speaker 1: joke here when I'm talking about alcoholism. But Alma. There's

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Speaker 1: so many other ways to cope with the stresses of life.

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Speaker 1: Like I get it, it's it's a free country. But

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Speaker 1: I would just say to these people, hey, at least

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Speaker 1: just don't vote, Like maybe just take yourself. What are

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Speaker 1: your thoughts here?

435
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Speaker 10: So I looked at this from the perspective of an immigrant,

436
00:23:17,000 --> 00:23:19,320
Speaker 10: and I looked at you know, where I came from,

437
00:23:19,320 --> 00:23:22,399
Speaker 10: and I'm like, wow, what a luxury, you know, to

438
00:23:22,520 --> 00:23:26,000
Speaker 10: have the ability to have this as the way you cope.

439
00:23:25,720 --> 00:23:28,399
Speaker 9: With the real world, right, what a luxury.

440
00:23:28,840 --> 00:23:33,280
Speaker 10: You know. I grew up with rugged pragmatism because you

441
00:23:33,359 --> 00:23:36,200
Speaker 10: had to, you know, fend your way to your next

442
00:23:36,240 --> 00:23:38,639
Speaker 10: meal in many cases for a lot of people. And

443
00:23:38,680 --> 00:23:41,840
Speaker 10: so we we didn't have the luxury to you know,

444
00:23:41,920 --> 00:23:45,359
Speaker 10: go around in our free time to dress up and

445
00:23:45,760 --> 00:23:47,119
Speaker 10: do things like this.

446
00:23:47,240 --> 00:23:48,879
Speaker 9: But you know, I have some compassion.

447
00:23:49,040 --> 00:23:53,080
Speaker 10: I'm gonna say, you know, if you need an outlet,

448
00:23:53,600 --> 00:23:58,320
Speaker 10: and alcoholism is not on the table, and I don't

449
00:23:58,520 --> 00:24:01,520
Speaker 10: I don't mind how you do it. But as long

450
00:24:01,560 --> 00:24:04,200
Speaker 10: as they're not hurting anybody and they're finding some peace

451
00:24:04,240 --> 00:24:05,600
Speaker 10: in their lives, that's good.

452
00:24:05,960 --> 00:24:07,640
Speaker 9: That's good for them. I will give them some grace

453
00:24:07,680 --> 00:24:08,280
Speaker 9: on that front.

454
00:24:09,200 --> 00:24:13,120
Speaker 1: Yeah, okay, I do. I do. Like the point though

455
00:24:13,160 --> 00:24:16,600
Speaker 1: of it seems like privileged to be able to dress

456
00:24:16,680 --> 00:24:18,480
Speaker 1: up as a mermaid. Hey yeah, other people have bigger

457
00:24:18,480 --> 00:24:20,680
Speaker 1: problems in the world. But if you if you need

458
00:24:20,720 --> 00:24:22,680
Speaker 1: to do that to cope with stress. By the way

459
00:24:22,720 --> 00:24:25,399
Speaker 1: they spend some some spend up to thousands of dollars

460
00:24:25,400 --> 00:24:28,239
Speaker 1: on their mermaid costumes, which is just again, there are

461
00:24:28,320 --> 00:24:32,400
Speaker 1: charities out there that do great work that you can

462
00:24:32,680 --> 00:24:36,480
Speaker 1: also use with your free time. Christin Alma. Guys, thanks

463
00:24:36,520 --> 00:24:38,440
Speaker 1: so much for joining. Really appreciate you taking the time.

464
00:24:38,440 --> 00:24:39,040
Speaker 1: We'll have you back.

465
00:24:39,880 --> 00:24:40,400
Speaker 2: Thank you much.

466
00:24:40,560 --> 00:24:41,639
Speaker 9: Thank you so much for having me.

467
00:24:41,720 --> 00:24:43,679
Speaker 1: Thank you coming up here on Turning Point Tonight, We've

468
00:24:43,680 --> 00:24:47,160
Speaker 1: got a fascinating clip from Alex Clara's Culture Apothecary podcast.

469
00:24:47,200 --> 00:24:51,720
Speaker 1: Don't go away, We'll be right back after the break.

470
00:24:55,160 --> 00:24:59,160
Speaker 11: Gotta admire what you've been able to do, not to weaponize,

471
00:24:59,280 --> 00:25:02,200
Speaker 11: but to organiz on these college campuses.

472
00:25:01,880 --> 00:25:05,320
Speaker 12: At Turning Point, USA. We've spent thirteen years building the machine,

473
00:25:05,400 --> 00:25:08,240
Speaker 12: and last year we sought payoff. Our grassroots army is

474
00:25:08,240 --> 00:25:10,760
Speaker 12: making a real difference. Help us keep the momentum going.

475
00:25:10,960 --> 00:25:15,800
Speaker 12: Donate today and keep keep USA strong. On campuses across America, and.

476
00:25:15,800 --> 00:25:18,040
Speaker 13: For a gift of any amount, you'll receive your big

477
00:25:18,040 --> 00:25:19,840
Speaker 13: GOV sucks cooler claim yours.

478
00:25:19,880 --> 00:25:31,119
Speaker 15: Today, you went viral and were dubbed America's worst mom

479
00:25:31,400 --> 00:25:33,840
Speaker 15: for letting your nine year old son ride the New

480
00:25:33,920 --> 00:25:38,120
Speaker 15: York City subway alone. My burning question is, it's been

481
00:25:38,200 --> 00:25:41,919
Speaker 15: nearly twenty years. Would you still allow him to do

482
00:25:41,960 --> 00:25:43,800
Speaker 15: that if he was nine years old today?

483
00:25:44,359 --> 00:25:47,600
Speaker 4: I believe I would, but you know it's theoretical. Yes,

484
00:25:47,720 --> 00:25:49,640
Speaker 4: I mean, I'm still on the subways all the time.

485
00:25:50,000 --> 00:25:51,520
Speaker 4: You gave me an uber to come here, but I

486
00:25:51,560 --> 00:25:53,920
Speaker 4: was thinking I would have taken the subway, and they're

487
00:25:53,960 --> 00:25:56,200
Speaker 4: not pretty, but they are safe.

488
00:25:56,320 --> 00:26:00,760
Speaker 15: So I think for my audience that is largely unfamiliar

489
00:26:01,040 --> 00:26:04,920
Speaker 15: with New York City life, we see the stories of

490
00:26:04,960 --> 00:26:08,119
Speaker 15: people being pushed into the subway tracks, of the woman

491
00:26:08,200 --> 00:26:11,919
Speaker 15: catching on fire, of the rampant crime, the stabbings, the

492
00:26:11,960 --> 00:26:15,200
Speaker 15: harassment naked people, all of it, and we're like, how

493
00:26:15,280 --> 00:26:17,840
Speaker 15: in the world could you allow a small child in

494
00:26:17,880 --> 00:26:21,040
Speaker 15: that environment without any adult protection? And what's your response?

495
00:26:21,359 --> 00:26:23,320
Speaker 4: Well, I think there is a lot of adult protection

496
00:26:23,560 --> 00:26:25,840
Speaker 4: of kids on the subway because there's a lot of

497
00:26:25,920 --> 00:26:28,439
Speaker 4: people like me on the subway. Most people are not

498
00:26:28,880 --> 00:26:31,879
Speaker 4: naked and on fire on the subway are stabbing people.

499
00:26:32,320 --> 00:26:36,080
Speaker 4: I understand the desire to keep kids safe, but I

500
00:26:36,119 --> 00:26:39,600
Speaker 4: also understand how sticky these stories are. People catching on fire.

501
00:26:39,680 --> 00:26:41,959
Speaker 4: There was one woman. It was a horrible story and

502
00:26:42,040 --> 00:26:43,840
Speaker 4: she was burned. I mean, I hate talking about it

503
00:26:43,840 --> 00:26:46,119
Speaker 4: because now the picture is coming back in our minds.

504
00:26:46,400 --> 00:26:48,560
Speaker 4: So I'm going to talk about the way our minds

505
00:26:48,600 --> 00:26:50,800
Speaker 4: work like Google. And then there's something else I wanted

506
00:26:50,840 --> 00:26:52,600
Speaker 4: to say, and hopefully I'll remember what it was. But

507
00:26:52,960 --> 00:26:55,840
Speaker 4: the mind working like Google is this, which is that

508
00:26:55,960 --> 00:26:59,000
Speaker 4: if I asked my you know, if I asked Google,

509
00:26:59,040 --> 00:27:01,320
Speaker 4: is there a great you know, where's the best Mexican

510
00:27:01,359 --> 00:27:04,080
Speaker 4: food around here? Up would come, you know, Los Tucos

511
00:27:04,119 --> 00:27:07,600
Speaker 4: and all these restaurants ranked, and I would this would

512
00:27:07,600 --> 00:27:11,160
Speaker 4: be very interesting and important information for me and useful.

513
00:27:11,359 --> 00:27:13,480
Speaker 4: If I ask my mind, is the New York City

514
00:27:13,520 --> 00:27:17,040
Speaker 4: subway safe? And upcomes person on tracks and person stabbed

515
00:27:17,040 --> 00:27:20,320
Speaker 4: to death and person on fire. And these are stories

516
00:27:20,359 --> 00:27:23,880
Speaker 4: that have been gathered over the course of forty five years,

517
00:27:24,440 --> 00:27:27,400
Speaker 4: and they're over the course of six million people a day,

518
00:27:27,440 --> 00:27:29,639
Speaker 4: which ends up being like a trillion people a year,

519
00:27:29,880 --> 00:27:32,879
Speaker 4: and so they come to the top and they feel

520
00:27:32,920 --> 00:27:35,879
Speaker 4: relevant because they're so easy to remember. I can't remember

521
00:27:35,920 --> 00:27:38,760
Speaker 4: all the people like me board last night, annoyed that

522
00:27:38,800 --> 00:27:41,800
Speaker 4: the train is taking forever but getting home safe and sound.

523
00:27:42,400 --> 00:27:45,640
Speaker 4: And so the brain thinks that what is most easy

524
00:27:45,680 --> 00:27:49,639
Speaker 4: to retrieve is the most relevant. It's called the availability heuristic,

525
00:27:49,640 --> 00:27:52,680
Speaker 4: which is a term that I finally memorized. Nobody uses it,

526
00:27:52,880 --> 00:27:55,560
Speaker 4: but it's the easier it is to remember something or

527
00:27:55,600 --> 00:27:57,560
Speaker 4: to come up with a picture in your brain, the

528
00:27:57,600 --> 00:28:01,960
Speaker 4: more common and important and likely you think that information is.

529
00:28:02,080 --> 00:28:04,760
Speaker 4: But in this case, when it comes to crime, it's not.

530
00:28:05,040 --> 00:28:12,119
Speaker 4: It's the extreme exception. And so I'm so concerned about

531
00:28:12,119 --> 00:28:16,720
Speaker 4: my kids living and being safe and hopefully surviving me.

532
00:28:17,200 --> 00:28:20,960
Speaker 4: And yet I let my kids do things in the

533
00:28:21,000 --> 00:28:23,280
Speaker 4: world because I think I have this sort of rational

534
00:28:23,359 --> 00:28:27,120
Speaker 4: brain that goes, well, something bad could happen. But if

535
00:28:27,160 --> 00:28:29,520
Speaker 4: I drove my kids, I mean, that's the number one

536
00:28:29,520 --> 00:28:32,920
Speaker 4: way kids die is as car passengers. And nobody ever

537
00:28:32,960 --> 00:28:36,360
Speaker 4: says Lenore, I heard you drove your child to the dentist.

538
00:28:36,440 --> 00:28:37,399
Speaker 2: We'll be talking about that.

539
00:28:37,480 --> 00:28:39,600
Speaker 15: You know what, that's a very valid point, right, How

540
00:28:39,600 --> 00:28:41,400
Speaker 15: did you even come up with that challenge idea in

541
00:28:41,440 --> 00:28:42,080
Speaker 15: the first place, the.

542
00:28:42,160 --> 00:28:42,840
Speaker 9: Use of mine.

543
00:28:43,000 --> 00:28:46,040
Speaker 4: Okay, our younger son, who is nine at the time,

544
00:28:46,240 --> 00:28:49,280
Speaker 4: is he always wanted to like, I think this is

545
00:28:49,920 --> 00:28:52,600
Speaker 4: how most kids grew up. They want to be older.

546
00:28:52,880 --> 00:28:54,640
Speaker 4: You know, you want to learn how to ride your bike,

547
00:28:54,680 --> 00:28:56,880
Speaker 4: you want to get your driver's license, you want to

548
00:28:56,920 --> 00:29:00,160
Speaker 4: go and you know, have your own agency, be part

549
00:29:00,200 --> 00:29:02,560
Speaker 4: of the world. And so he was asking me and

550
00:29:02,600 --> 00:29:05,520
Speaker 4: my husband for a while, like, can I please take

551
00:29:05,560 --> 00:29:07,440
Speaker 4: take me someplace I've never been before and let me

552
00:29:07,480 --> 00:29:09,720
Speaker 4: find my own way home by subway. I'm like my husband,

553
00:29:09,760 --> 00:29:11,160
Speaker 4: I talked about it. I was like, I don't know,

554
00:29:11,280 --> 00:29:13,280
Speaker 4: it's weird. Our older son hadn't asked us this, We

555
00:29:13,280 --> 00:29:16,440
Speaker 4: hadn't thought about it. But finally we decided, well, on

556
00:29:16,480 --> 00:29:19,880
Speaker 4: a Sunday, you know, maybe that's fine, and we'll just

557
00:29:19,920 --> 00:29:23,880
Speaker 4: take him to Bloomingdale's, which is a super fancy department store,

558
00:29:23,920 --> 00:29:27,720
Speaker 4: because there's a subway stop right in Bloomingdale's underneath the store,

559
00:29:27,720 --> 00:29:29,400
Speaker 4: and then he could take the subway down to thirty

560
00:29:29,400 --> 00:29:31,840
Speaker 4: fourth Street. We all know we're calling thirty fourth Street

561
00:29:32,320 --> 00:29:37,000
Speaker 4: and it's you know, a train ride, a subway system

562
00:29:37,040 --> 00:29:40,120
Speaker 4: that he'd been on since he was born. Every day

563
00:29:40,120 --> 00:29:42,240
Speaker 4: going to everything that we go to, we go to

564
00:29:42,280 --> 00:29:45,520
Speaker 4: on subway, and so we finally decided yes, and my

565
00:29:45,600 --> 00:29:47,360
Speaker 4: husband sat on the ground with him with a map

566
00:29:47,400 --> 00:29:49,800
Speaker 4: and made sure he understood this is the line. Yes, yes,

567
00:29:49,880 --> 00:29:53,520
Speaker 4: he knows this. And also I do trust most people,

568
00:29:53,680 --> 00:29:55,960
Speaker 4: and I don't think that's crazy, because he actually did

569
00:29:55,960 --> 00:29:57,360
Speaker 4: go into the subway and like, am I on the

570
00:29:57,400 --> 00:29:59,880
Speaker 4: downtown side and the guy said, no, you got to

571
00:29:59,920 --> 00:30:00,320
Speaker 4: go up and over.

572
00:30:00,320 --> 00:30:01,120
Speaker 2: He didn't go with the guy.

573
00:30:02,000 --> 00:30:03,160
Speaker 4: The guy said, you got to go over to the

574
00:30:03,200 --> 00:30:05,880
Speaker 4: other side to take the downtown train. And then he

575
00:30:05,920 --> 00:30:07,480
Speaker 4: took the train, and then from there you had to

576
00:30:07,480 --> 00:30:09,760
Speaker 4: take a bus across town, and we're always on that bus.

577
00:30:09,840 --> 00:30:11,960
Speaker 4: We moved, thank god, to someplace that you don't always

578
00:30:11,960 --> 00:30:13,640
Speaker 4: have to take a bus to get to. But then

579
00:30:13,680 --> 00:30:16,560
Speaker 4: he got on the bus, this boring slow bus, and

580
00:30:16,680 --> 00:30:22,160
Speaker 4: came home so proud, beyond proud, so excited, so excited.

581
00:30:22,160 --> 00:30:25,080
Speaker 4: He was part of the world. We had trusted him.

582
00:30:25,360 --> 00:30:28,960
Speaker 4: He had, you know, like Mount Everest, or even better

583
00:30:28,960 --> 00:30:31,720
Speaker 4: than Mount Everest. He was just a regular New Yorker now,

584
00:30:31,760 --> 00:30:35,440
Speaker 4: not just a little kid. And that's the driving impetus

585
00:30:35,440 --> 00:30:37,920
Speaker 4: for most childhood it's like you want to do things

586
00:30:38,320 --> 00:30:43,000
Speaker 4: that make you a person in full and he felt

587
00:30:43,040 --> 00:30:46,120
Speaker 4: like that's that was his come upance he was there.

588
00:30:46,360 --> 00:30:48,480
Speaker 15: How did it feel to see all these headlines when

589
00:30:48,480 --> 00:30:51,080
Speaker 15: that was going on, calling you America's worst mom.

590
00:30:51,560 --> 00:30:54,480
Speaker 4: I know that some of it was just insane, Like

591
00:30:54,520 --> 00:30:56,760
Speaker 4: I'm not America's worst mom if they knew that. Like

592
00:30:56,960 --> 00:30:59,840
Speaker 4: when he turned ten, the party gift I gave all

593
00:30:59,840 --> 00:31:02,800
Speaker 4: the kids for his birthday party was a mouthguard in

594
00:31:02,840 --> 00:31:05,600
Speaker 4: case they were playing sports. So I think I'm a

595
00:31:05,600 --> 00:31:08,280
Speaker 4: pretty safety conscious person. We didn't have a car, so

596
00:31:08,320 --> 00:31:10,400
Speaker 4: we would take a car seat with us whenever we

597
00:31:10,440 --> 00:31:13,120
Speaker 4: took a cab. I mean I'd say I air on

598
00:31:13,160 --> 00:31:15,040
Speaker 4: the side of safety. So being called like, oh she

599
00:31:15,080 --> 00:31:17,880
Speaker 4: doesn't care, evil canevil, that was a little crazy. But

600
00:31:17,960 --> 00:31:21,360
Speaker 4: I did have a minor breakdown at one point because

601
00:31:21,680 --> 00:31:27,640
Speaker 4: I worried about jinxing things or fate or God saying

602
00:31:27,680 --> 00:31:29,600
Speaker 4: ha ha, you thought your son was going to be

603
00:31:29,640 --> 00:31:31,720
Speaker 4: saying I just worried, Like the minute you say I

604
00:31:31,720 --> 00:31:34,840
Speaker 4: think my son is going to be fine, it's like

605
00:31:35,080 --> 00:31:36,640
Speaker 4: asking for.

606
00:31:36,680 --> 00:31:39,520
Speaker 2: Lightning to strike. Yeah, So how did you get over that?

607
00:31:39,720 --> 00:31:43,040
Speaker 4: I guess I knew myself better than that that I

608
00:31:43,320 --> 00:31:45,400
Speaker 4: you know that I am a mom who loves her

609
00:31:45,480 --> 00:31:49,560
Speaker 4: children and wants them to be safe. And also as

610
00:31:49,640 --> 00:31:52,840
Speaker 4: much as there were people against me, the first comment

611
00:31:52,960 --> 00:31:55,240
Speaker 4: on my blog that I started, the Free Range Kids

612
00:31:55,320 --> 00:31:59,560
Speaker 4: blog was asshole. Okay, we know what we're dealing with.

613
00:32:00,080 --> 00:32:02,520
Speaker 4: But there are also so many people who are like saying,

614
00:32:03,000 --> 00:32:05,520
Speaker 4: I miss my childhood, I loved what I could do,

615
00:32:05,760 --> 00:32:07,680
Speaker 4: or I'm trying to do this in my town and

616
00:32:07,720 --> 00:32:11,000
Speaker 4: people think that I'm crazy, But it's the school. I

617
00:32:11,040 --> 00:32:12,760
Speaker 4: went to that school when I was a kid, and

618
00:32:12,800 --> 00:32:14,560
Speaker 4: we live in the same house that I lived in,

619
00:32:14,600 --> 00:32:16,800
Speaker 4: and now I can't let my kid walk there. It

620
00:32:16,960 --> 00:32:21,560
Speaker 4: just feels like a clamp down on freedom and trust.

621
00:32:21,920 --> 00:32:24,920
Speaker 4: And so I'd say I got a lot of support

622
00:32:25,640 --> 00:32:28,280
Speaker 4: from other parents, especially moms.

623
00:32:28,440 --> 00:32:33,120
Speaker 15: Has crime against children in America gotten worse since the nineties,

624
00:32:33,200 --> 00:32:34,720
Speaker 15: gotten better or stayed the same.

625
00:32:35,080 --> 00:32:37,480
Speaker 4: It's gotten way better, And then people say that's because

626
00:32:37,480 --> 00:32:39,680
Speaker 4: we're helicopter parenting them and never letting them out of

627
00:32:39,680 --> 00:32:43,080
Speaker 4: our sight. But crime is down the same amount against adults.

628
00:32:43,120 --> 00:32:46,320
Speaker 4: Because crime has gone down, it's not crime against one

629
00:32:46,360 --> 00:32:50,280
Speaker 4: sector or another. In New York City in the early nineties,

630
00:32:50,320 --> 00:32:52,520
Speaker 4: crime peaked in ninety three. Here there were over two

631
00:32:52,600 --> 00:32:55,560
Speaker 4: thousand murders a year, and now I think there's about

632
00:32:55,640 --> 00:32:58,600
Speaker 4: two to three hundred out of a city of eight million.

633
00:32:58,920 --> 00:33:03,120
Speaker 4: And generally it's not random crime. I mean, it's sad,

634
00:33:03,160 --> 00:33:06,080
Speaker 4: it's still sad, but it is generally like you know,

635
00:33:07,000 --> 00:33:09,600
Speaker 4: terrible neighborhoods and gangs.

636
00:33:09,880 --> 00:33:12,240
Speaker 15: At what age do you think free range parenting should

637
00:33:12,240 --> 00:33:13,040
Speaker 15: ideally start?

638
00:33:13,240 --> 00:33:14,680
Speaker 4: I don't know. What do you think?

639
00:33:14,960 --> 00:33:16,400
Speaker 2: I think five?

640
00:33:17,040 --> 00:33:17,440
Speaker 1: You do?

641
00:33:17,560 --> 00:33:18,080
Speaker 2: Good for you?

642
00:33:18,240 --> 00:33:18,920
Speaker 4: Oh my god.

643
00:33:19,000 --> 00:33:22,720
Speaker 15: And this is where we get into the nitty gritty.

644
00:33:22,920 --> 00:33:25,920
Speaker 15: The reason you're here is because my head was put

645
00:33:25,960 --> 00:33:29,600
Speaker 15: on a stake by some in my audience, and yet

646
00:33:29,640 --> 00:33:31,560
Speaker 15: here it is a test and here it is attached.

647
00:33:32,160 --> 00:33:34,920
Speaker 15: And that was because I posed a question to them

648
00:33:34,960 --> 00:33:37,320
Speaker 15: one day. I was thinking about a lot of things.

649
00:33:37,360 --> 00:33:39,520
Speaker 15: One I was asking them, would you allow your child

650
00:33:39,560 --> 00:33:41,920
Speaker 15: to have a sleepover? Almost like ninety eight percent of

651
00:33:41,920 --> 00:33:44,560
Speaker 15: my audience no sleepovers. Ever, doesn't even matter if it's

652
00:33:44,600 --> 00:33:48,840
Speaker 15: a grandparent, nothing, nothing their kids. No one is allowing sleepovers.

653
00:33:48,880 --> 00:33:52,880
Speaker 15: It's basically extinct. After that conversation, I kind of pivoted

654
00:33:52,920 --> 00:33:55,080
Speaker 15: and I was like, okay, well here's another idea. Just

655
00:33:55,120 --> 00:33:57,680
Speaker 15: if we're talking about unpopular parenting ideas. Here's another one.

656
00:33:57,800 --> 00:34:01,080
Speaker 15: Would you allow? And this is my I was posting

657
00:34:01,120 --> 00:34:03,560
Speaker 15: this on Instagram stories and I didn't give enough context

658
00:34:03,640 --> 00:34:05,000
Speaker 15: of what I was thinking in my mind.

659
00:34:05,280 --> 00:34:06,480
Speaker 4: Oh you can be pilloried.

660
00:34:06,560 --> 00:34:07,240
Speaker 2: Yes, yes.

661
00:34:07,520 --> 00:34:10,200
Speaker 15: So all I said was, would you allow your five

662
00:34:10,280 --> 00:34:12,560
Speaker 15: year old to go into a store with your card

663
00:34:12,640 --> 00:34:15,359
Speaker 15: if you waited outside, yeah, to buy something and come

664
00:34:15,360 --> 00:34:17,960
Speaker 15: back out. And they were like, no way. And I

665
00:34:17,960 --> 00:34:20,360
Speaker 15: guess everybody was kind of assuming that I meant like

666
00:34:20,360 --> 00:34:22,680
Speaker 15: a huge, big box store, like a Walmart or something.

667
00:34:22,520 --> 00:34:24,879
Speaker 4: And I just was thinking, like the local grocery, yes,

668
00:34:25,000 --> 00:34:27,719
Speaker 4: like a little like dunkin Donuts, Yes, you're dunkin Donuts, You're.

669
00:34:27,640 --> 00:34:29,920
Speaker 15: Deli, your chick Flate, like something smaller where it's like

670
00:34:29,960 --> 00:34:32,279
Speaker 15: you go there every day, they know like they've been

671
00:34:32,280 --> 00:34:34,960
Speaker 15: there a million times. Go into the barber, I'm here

672
00:34:34,960 --> 00:34:37,960
Speaker 15: for my appointment something to just like test independence. And

673
00:34:38,000 --> 00:34:42,080
Speaker 15: I'd said the age five years old, people you would

674
00:34:42,080 --> 00:34:44,600
Speaker 15: not believe. I mean, people thought I was saying, like,

675
00:34:44,640 --> 00:34:47,799
Speaker 15: send your five year old off to Europe alone. And

676
00:34:48,000 --> 00:34:50,640
Speaker 15: they were saying, if I saw a child even seven,

677
00:34:50,760 --> 00:34:53,400
Speaker 15: eight nine going into a chick filated buy a smoothie

678
00:34:53,440 --> 00:34:55,800
Speaker 15: or something a milkshake while the parent was outside.

679
00:34:55,800 --> 00:34:56,680
Speaker 2: I would call CPS.

680
00:34:56,760 --> 00:34:59,440
Speaker 15: I mean, this was like all over and they were like, Alex,

681
00:34:59,480 --> 00:35:01,480
Speaker 15: this is out. There is no five year old that

682
00:35:01,480 --> 00:35:03,600
Speaker 15: will be ready for this. And I was like thinking,

683
00:35:04,200 --> 00:35:08,640
Speaker 15: I am sorry, but I completely disagree. And Mike Landsa

684
00:35:08,719 --> 00:35:10,719
Speaker 15: I asked him this question, and you know, we talked

685
00:35:10,760 --> 00:35:13,000
Speaker 15: about this a little bit in his episode and I.

686
00:35:13,040 --> 00:35:15,240
Speaker 2: Said this, and he was like, well, every kid is different.

687
00:35:15,280 --> 00:35:17,520
Speaker 15: I was like, exactly, some five year olds I know,

688
00:35:17,680 --> 00:35:20,239
Speaker 15: absolutely no way do I think that they would be

689
00:35:20,280 --> 00:35:22,560
Speaker 15: ready to go into a store and purchase a banana

690
00:35:22,560 --> 00:35:25,160
Speaker 15: and come out. Some five year olds I know could

691
00:35:25,200 --> 00:35:26,680
Speaker 15: run circles around that they'd be like, give me the

692
00:35:26,680 --> 00:35:29,360
Speaker 15: whole grocery list. Some seven year olds I know couldn't

693
00:35:29,360 --> 00:35:31,279
Speaker 15: do it. Some nine year olds I know couldn't do

694
00:35:31,320 --> 00:35:34,040
Speaker 15: it. It totally depends on the kid. And I'm just assuming,

695
00:35:34,640 --> 00:35:37,520
Speaker 15: sue me that a parent knows their own kid well

696
00:35:37,640 --> 00:35:40,200
Speaker 15: enough to say, like, yes, I could see some five

697
00:35:40,280 --> 00:35:41,360
Speaker 15: year olds could do this, some couldn't.

698
00:35:41,440 --> 00:35:43,480
Speaker 2: Just like some five year olds can read, can't you

699
00:35:43,480 --> 00:35:47,480
Speaker 2: have to forgive me? Oh?

700
00:35:49,440 --> 00:35:58,840
Speaker 15: How amazing, thank you, thank you got it.

701
00:35:58,920 --> 00:36:02,560
Speaker 11: The Meyer what you've been able to do, not to weaponize,

702
00:36:02,640 --> 00:36:05,600
Speaker 11: but to organize on these college campuses.

703
00:36:05,239 --> 00:36:08,720
Speaker 12: At Turning Point USA. We spent thirteen years building the machine,

704
00:36:08,760 --> 00:36:11,600
Speaker 12: and last year we sought payoff. Our grassroots army is

705
00:36:11,640 --> 00:36:14,160
Speaker 12: making a real difference. Help us keep the momentum going.

706
00:36:14,320 --> 00:36:19,640
Speaker 12: Donate today and keep tp USA strong on campuses across America.

707
00:36:19,040 --> 00:36:21,200
Speaker 13: And for a gift of any amount, you'll receive your

708
00:36:21,200 --> 00:36:25,200
Speaker 13: big Gove sucks cooler claim yours today.

709
00:36:28,280 --> 00:36:31,160
Speaker 11: You've got to admire what you've been able to do,

710
00:36:31,280 --> 00:36:35,400
Speaker 11: not to weaponize, but to organize on these college campuses.

711
00:36:35,120 --> 00:36:38,600
Speaker 12: At Turning Point USA. We've spent thirteen years building the machine,

712
00:36:38,640 --> 00:36:41,480
Speaker 12: and last year we sought payoff. Our grassroots army is

713
00:36:41,480 --> 00:36:44,000
Speaker 12: making a real difference. Help us keep the momentum going.

714
00:36:44,200 --> 00:36:49,040
Speaker 12: Donate today and keep tp USA strong on campuses across America, and.

715
00:36:49,040 --> 00:36:51,279
Speaker 13: For a gift of any amount, you'll receive your big

716
00:36:51,320 --> 00:36:53,400
Speaker 13: GOV sucks cooler claim yours today.

717
00:36:56,800 --> 00:36:59,160
Speaker 1: Welcome back to Turning Point. Tonight, we're together, we're charting

718
00:36:59,160 --> 00:37:01,600
Speaker 1: the course of America's co cultural comeback that is TPUSA

719
00:37:01,680 --> 00:37:04,879
Speaker 1: dot com. Any donation gets you a free cooler, which, again,

720
00:37:05,080 --> 00:37:07,320
Speaker 1: if you're gonna invite me to anything, and you don't

721
00:37:07,360 --> 00:37:11,680
Speaker 1: have a cooler to keep drinks cold, I probably won't come.

722
00:37:12,440 --> 00:37:14,480
Speaker 1: Be completely honest and transparent with you. I probably won't

723
00:37:14,480 --> 00:37:17,200
Speaker 1: come regardless. But if there is a chance, it's only

724
00:37:17,239 --> 00:37:20,680
Speaker 1: because you have a TPUSA cooler. Get tpusa dot com.

725
00:37:20,960 --> 00:37:24,000
Speaker 1: A donation Vendi amount gets you a free cooler tposa

726
00:37:24,080 --> 00:37:26,000
Speaker 1: dot com. You can also email the show anytime you

727
00:37:26,040 --> 00:37:28,640
Speaker 1: want tpt at tpusa dot com. You can email whether

728
00:37:28,640 --> 00:37:31,360
Speaker 1: you agree, whether you're wrong. One of you, folks, you

729
00:37:31,400 --> 00:37:33,080
Speaker 1: didn't email this, but I think you sent it to

730
00:37:33,080 --> 00:37:36,279
Speaker 1: me at an Instagram message or something like that. I

731
00:37:36,320 --> 00:37:39,200
Speaker 1: don't know where I found this in the long list

732
00:37:39,239 --> 00:37:43,520
Speaker 1: of things that people send. This is I'll set this up.

733
00:37:44,120 --> 00:37:48,080
Speaker 1: This is the best video I've ever seen and also

734
00:37:48,640 --> 00:37:52,680
Speaker 1: horrifying at the same time. Watch this. This is adorable.

735
00:37:53,080 --> 00:37:56,080
Speaker 16: I don't have Medicare, so why is Medicare taking out

736
00:37:56,120 --> 00:38:00,960
Speaker 16: of my work hour check? It's called texts. Yeah, I

737
00:38:01,040 --> 00:38:03,560
Speaker 16: understand that, but I don't have Medicare.

738
00:38:03,800 --> 00:38:05,600
Speaker 1: You pay taxes for the things you buy.

739
00:38:05,920 --> 00:38:10,760
Speaker 16: If I buy cheese, I buy six dollars plus sales tax.

740
00:38:11,080 --> 00:38:13,680
Speaker 16: I don't have Medicare, so I shouldn't have the tax

741
00:38:13,760 --> 00:38:15,760
Speaker 16: on Medicare because I didn't buy that.

742
00:38:15,840 --> 00:38:20,400
Speaker 1: Like social is seven dollars seven dollars, that's a twelve.

743
00:38:20,440 --> 00:38:23,200
Speaker 16: That's more than a twelve of my workness?

744
00:38:24,080 --> 00:38:29,399
Speaker 1: What I only get ten an hour? Oh no, edit

745
00:38:29,440 --> 00:38:32,000
Speaker 1: a bathroom? What is a Michigan income?

746
00:38:32,040 --> 00:38:34,000
Speaker 16: Why are you going to tax me for making money?

747
00:38:34,480 --> 00:38:38,879
Speaker 1: You're lively, but I don't understand that's what a tax is.

748
00:38:39,239 --> 00:38:40,360
Speaker 1: So what was the point?

749
00:38:40,560 --> 00:38:42,600
Speaker 16: That's income tax income.

750
00:38:42,520 --> 00:38:43,080
Speaker 3: Coming to me?

751
00:38:43,280 --> 00:38:46,360
Speaker 16: That means income that goes to you gets taxed. So

752
00:38:46,400 --> 00:38:48,080
Speaker 16: what was the point of getting it to me if

753
00:38:48,080 --> 00:38:48,920
Speaker 16: you're just gonna take.

754
00:38:48,800 --> 00:38:49,440
Speaker 3: It out.

755
00:38:51,200 --> 00:38:52,880
Speaker 9: Because the government didn't give it to you.

756
00:38:53,000 --> 00:38:54,960
Speaker 16: The company gave it to you, and the government's like,

757
00:38:55,080 --> 00:38:58,240
Speaker 16: this is mine, ye, but it's not there. Fifteen dollars

758
00:38:58,239 --> 00:39:02,640
Speaker 16: in taxes. Fifteen dollars is a lot for a high school.

759
00:39:04,320 --> 00:39:09,080
Speaker 16: Fifteen dollars was taken from me just because because well,

760
00:39:09,120 --> 00:39:11,680
Speaker 16: we don't even have free health insurance here, I know,

761
00:39:11,840 --> 00:39:12,840
Speaker 16: So what's the point?

762
00:39:13,440 --> 00:39:14,879
Speaker 1: So this will come back to me later?

763
00:39:14,960 --> 00:39:17,640
Speaker 2: That one eighty five will come not directly.

764
00:39:17,280 --> 00:39:19,560
Speaker 16: But you have to pay into medicare so that one

765
00:39:19,600 --> 00:39:23,239
Speaker 16: day if you do need Medicare, then Medicare will cover you.

766
00:39:23,280 --> 00:39:24,960
Speaker 16: I need you to use Medicare, so my money not

767
00:39:24,960 --> 00:39:27,400
Speaker 16: going away. I can't use medical but why not I

768
00:39:27,400 --> 00:39:28,520
Speaker 16: don't qualify for one.

769
00:39:28,400 --> 00:39:30,359
Speaker 1: You're old qualified for it so that.

770
00:39:30,320 --> 00:39:31,680
Speaker 9: You can get my one to eighty five.

771
00:39:31,800 --> 00:39:34,040
Speaker 16: Social Security is also for when you get old and

772
00:39:34,040 --> 00:39:36,320
Speaker 16: you retire because you paid to the Social.

773
00:39:36,160 --> 00:39:39,160
Speaker 1: Security I'll get that. You're supposed to get.

774
00:39:39,000 --> 00:39:42,600
Speaker 16: That when you get old before one care No. No,

775
00:39:43,000 --> 00:39:44,800
Speaker 16: every time you make money, you pay taxes.

776
00:39:46,520 --> 00:39:47,839
Speaker 1: Then at the end of the year, you're gonna fid

777
00:39:47,840 --> 00:39:48,320
Speaker 1: your Oh.

778
00:39:48,440 --> 00:39:49,120
Speaker 9: Then get it back.

779
00:39:49,400 --> 00:39:49,880
Speaker 11: No.

780
00:39:49,880 --> 00:39:52,200
Speaker 16: No, then the federal government is gonna be like, but

781
00:39:52,280 --> 00:39:55,160
Speaker 16: where's ours?

782
00:39:56,000 --> 00:40:01,040
Speaker 1: I watching that. I you don't know if you just

783
00:40:01,160 --> 00:40:06,400
Speaker 1: feel the range of emotions that I feel. I feel like, yes, excited.

784
00:40:06,440 --> 00:40:11,080
Speaker 1: I also feel visceral rage inside of me because I

785
00:40:11,120 --> 00:40:13,120
Speaker 1: think all of the things that she thinks. And by

786
00:40:13,160 --> 00:40:17,839
Speaker 1: the way, kid, that that doesn't go away. I'm, you know, fifteen,

787
00:40:18,719 --> 00:40:23,480
Speaker 1: close to twenty years into the workforce, and I still wonder, oh,

788
00:40:24,200 --> 00:40:27,239
Speaker 1: taken out for Medicare and Social Security and the things

789
00:40:27,239 --> 00:40:30,400
Speaker 1: that I will never use and never get because that's

790
00:40:30,520 --> 00:40:32,600
Speaker 1: just how things are gonna work. Social Security is gonna

791
00:40:32,600 --> 00:40:36,120
Speaker 1: be insolving in like nine years unless we drastically change

792
00:40:36,120 --> 00:40:39,719
Speaker 1: our financial trajectory. But I have the same amounts of

793
00:40:39,920 --> 00:40:42,799
Speaker 1: Oh no, no, it's income, it's it's my money. I still

794
00:40:42,840 --> 00:40:44,759
Speaker 1: have that. I had that when I was fifteen years

795
00:40:44,800 --> 00:40:47,760
Speaker 1: old working as an umpire. I had that in college

796
00:40:47,840 --> 00:40:51,719
Speaker 1: when I was cleaning trash as a janitor. Throughout my

797
00:40:51,880 --> 00:40:55,560
Speaker 1: entire college career, I every every step, every job I've

798
00:40:55,600 --> 00:40:58,480
Speaker 1: ever had, every single time I've gotten money, and there's

799
00:40:58,480 --> 00:41:00,520
Speaker 1: been money taken out of it every time I I something.

800
00:41:00,800 --> 00:41:03,360
Speaker 1: I just it just never goes away. I hate to

801
00:41:03,360 --> 00:41:05,880
Speaker 1: break it to this young individual. And that's why I

802
00:41:05,920 --> 00:41:09,479
Speaker 1: love this. I love the fact that young people get

803
00:41:09,520 --> 00:41:13,800
Speaker 1: their first paycheck and honestly, good parents like this mom

804
00:41:14,440 --> 00:41:16,640
Speaker 1: goes through the paycheck and says, hey, this is what

805
00:41:16,680 --> 00:41:18,719
Speaker 1: they're stealing from you for this. This is what they're

806
00:41:18,760 --> 00:41:20,440
Speaker 1: stealing from you for that, and this is what they're

807
00:41:20,440 --> 00:41:23,319
Speaker 1: stealing from you for this. And then I also too

808
00:41:23,440 --> 00:41:25,920
Speaker 1: like the fact that, no, but I don't use medicare.

809
00:41:26,040 --> 00:41:29,720
Speaker 1: Yeah yeah, I know, I mean personally speaking, I don't.

810
00:41:29,840 --> 00:41:32,400
Speaker 1: I'm not planning on Social Security. I don't think i'll

811
00:41:32,400 --> 00:41:34,319
Speaker 1: ever get any a dying from Social Security. But it

812
00:41:34,320 --> 00:41:40,759
Speaker 1: gets stolen from every single paycheck. Again, I'm filled with

813
00:41:41,040 --> 00:41:44,440
Speaker 1: happiness and excitement that the younger generation is realizing this

814
00:41:44,560 --> 00:41:47,280
Speaker 1: and going, oh my gosh, this is crazy, and also

815
00:41:48,239 --> 00:41:51,799
Speaker 1: filled with rage at the same time. But anyways, that's

816
00:41:51,800 --> 00:41:53,239
Speaker 1: gonna do it for us here at turning Points tonight,

817
00:41:53,880 --> 00:41:56,080
Speaker 1: Charlie Kirk is gonna take us out. We will see

818
00:41:56,120 --> 00:42:10,640
Speaker 1: it tomorrow, same time, same place. God bless America.

819
00:42:00,040 --> 00:42:13,279
Speaker 3: And do you think we're getting better at language on

820
00:42:13,320 --> 00:42:13,840
Speaker 3: the right.

821
00:42:14,080 --> 00:42:16,799
Speaker 17: Well, I think part I think the great thing is

822
00:42:16,840 --> 00:42:21,919
Speaker 17: that we're no longer afraid of sharing the risk. And

823
00:42:22,200 --> 00:42:24,560
Speaker 17: you know, people like you, Charlie uh and even and

824
00:42:25,000 --> 00:42:27,319
Speaker 17: Trump people have to be the you know, the tip

825
00:42:27,320 --> 00:42:29,120
Speaker 17: of the spear. A lot of people were too like

826
00:42:29,280 --> 00:42:31,200
Speaker 17: you take the issue like trans you don't want to

827
00:42:31,239 --> 00:42:34,279
Speaker 17: be bullied online by people by if you say what

828
00:42:34,360 --> 00:42:37,319
Speaker 17: you feel like if you think about the athletes that

829
00:42:37,360 --> 00:42:40,239
Speaker 17: were too too timid to say they didn't want to

830
00:42:40,320 --> 00:42:42,680
Speaker 17: change in front of a guy, they didn't want to

831
00:42:42,680 --> 00:42:45,280
Speaker 17: share the risk with the you know, the Riley gains,

832
00:42:45,320 --> 00:42:47,879
Speaker 17: the people who did take the risk. But what you're

833
00:42:47,920 --> 00:42:50,120
Speaker 17: seeing is what it's It's a natural thing when you

834
00:42:50,160 --> 00:42:54,759
Speaker 17: see somebody that you know taking a risk you're more

835
00:42:54,920 --> 00:42:58,200
Speaker 17: likely to share that risk with them. So what's happening

836
00:42:58,280 --> 00:43:01,439
Speaker 17: is now, because we're sharing the risk and being able

837
00:43:01,480 --> 00:43:05,480
Speaker 17: to say what we want, the language changes and that's.

838
00:43:05,360 --> 00:43:06,040
Speaker 3: A new phenomenon.

839
00:43:06,040 --> 00:43:06,239
Speaker 1: Greg.

840
00:43:06,320 --> 00:43:09,120
Speaker 12: So you've been coming to our events seven eight years, yes, right?

841
00:43:09,239 --> 00:43:09,640
Speaker 6: Yeah?

842
00:43:09,680 --> 00:43:13,480
Speaker 18: And in my back when I was in my early twenties. Sure, yeah,

843
00:43:13,640 --> 00:43:18,760
Speaker 18: when I was in my early twenties. Not you, but Greg,

844
00:43:18,840 --> 00:43:22,120
Speaker 18: something has changed profoundly when you first started coming to

845
00:43:22,160 --> 00:43:24,520
Speaker 18: these events. First of all, the crowds were much smaller, right,

846
00:43:24,800 --> 00:43:29,560
Speaker 18: But the energy was different because there was campus rebellion

847
00:43:29,640 --> 00:43:30,919
Speaker 18: energy that still exists here.

848
00:43:31,480 --> 00:43:35,600
Speaker 12: But culturally, Greg, it's kind of as if we're winning.

849
00:43:35,760 --> 00:43:38,520
Speaker 12: Am I allowed to say that? In fact, I believe

850
00:43:41,000 --> 00:43:42,040
Speaker 12: we talked about this.

851
00:43:42,360 --> 00:43:45,400
Speaker 17: I think the first time I was here, and I

852
00:43:45,400 --> 00:43:48,040
Speaker 17: had written about this, I don't know, twenty years ago,

853
00:43:48,239 --> 00:43:53,040
Speaker 17: about the ability to flip the script. You guys, hopefully

854
00:43:53,080 --> 00:43:56,000
Speaker 17: will never grow up in a time where everybody on

855
00:43:56,040 --> 00:43:58,000
Speaker 17: the right was seen as evil. I mean, you kind

856
00:43:58,000 --> 00:44:01,160
Speaker 17: of do now, But when I was growing up, you

857
00:44:01,239 --> 00:44:04,239
Speaker 17: in every movie, in every TV show, it was the

858
00:44:04,280 --> 00:44:07,200
Speaker 17: person who believes in law and order, the conservative who

859
00:44:07,320 --> 00:44:10,600
Speaker 17: was seen as evil, the person on the left was

860
00:44:10,640 --> 00:44:15,440
Speaker 17: seen as hip and cool. This has completely flipped. A

861
00:44:15,440 --> 00:44:18,000
Speaker 17: lot of it has to do with humor. Now, who

862
00:44:18,000 --> 00:44:19,040
Speaker 17: are the humorless people?

863
00:44:19,520 --> 00:44:20,480
Speaker 1: It's a complete flip.

864
00:44:20,800 --> 00:44:24,960
Speaker 17: The least funny people on the planet on the planet

865
00:44:25,040 --> 00:44:25,840
Speaker 17: are liberals.

866
00:44:26,360 --> 00:44:28,840
Speaker 1: They're literally it's hard.

867
00:44:29,400 --> 00:44:32,160
Speaker 17: It's hard to take a joke when you are the

868
00:44:32,280 --> 00:44:33,760
Speaker 17: joke and they can't.

869
00:44:34,120 --> 00:44:35,960
Speaker 1: They cannot see that they're the joke.

870
00:44:36,280 --> 00:44:40,400
Speaker 17: Meanwhile, the best thing you can do when you're in

871
00:44:40,520 --> 00:44:43,760
Speaker 17: conflict with anyone is to have fun.

872
00:44:44,440 --> 00:44:45,720
Speaker 3: While I watch Charlotte.

873
00:44:45,760 --> 00:44:48,080
Speaker 17: When you do those, when you talk to people, you're

874
00:44:48,080 --> 00:44:49,120
Speaker 17: never angry.

875
00:44:49,280 --> 00:44:50,280
Speaker 3: You don't.

876
00:44:50,480 --> 00:44:53,080
Speaker 17: It's not like you're judging the person, You're just having fun.

877
00:44:53,480 --> 00:44:56,600
Speaker 17: It's example that I U a comparison I use with

878
00:44:57,120 --> 00:45:02,120
Speaker 17: when when fans of Obama talk about Obama, they talk

879
00:45:02,160 --> 00:45:06,800
Speaker 17: about him in solemn terms, in serious terms. So true,

880
00:45:07,760 --> 00:45:11,400
Speaker 17: when people who like Trump talk about him, they're laughing.

881
00:45:12,600 --> 00:45:15,719
Speaker 17: And I stole this line from Michael Malice. We don't

882
00:45:15,719 --> 00:45:19,600
Speaker 17: whenever Trump says something, I go, we don't deserve him.

883
00:45:21,840 --> 00:45:25,280
Speaker 17: No matter what he does. You can't help but smile.

884
00:45:25,920 --> 00:45:29,400
Speaker 17: And when you're defending him, it's fun. When you're not

885
00:45:29,440 --> 00:45:31,640
Speaker 17: defending him, it's even fun. I mean it's like, for example,

886
00:45:31,680 --> 00:45:34,480
Speaker 17: he just did ah he posted on truth social about

887
00:45:34,920 --> 00:45:41,439
Speaker 17: stripping Rosie what's her name again, Rosie O'donald's citizenship, which

888
00:45:41,480 --> 00:45:46,239
Speaker 17: is impossible. We know it's impossible, we know it's hilarious,

889
00:45:46,360 --> 00:45:48,840
Speaker 17: but it makes news. And you see all the people

890
00:45:49,480 --> 00:45:53,719
Speaker 17: on the liberal blog social media pulling their hair out, you.

891
00:45:53,680 --> 00:45:55,160
Speaker 1: Know, ahuotocracy.

892
00:45:55,320 --> 00:45:58,840
Speaker 17: He wants to strip Rosie o'donnald over citizens No, he doesn't.

893
00:45:59,040 --> 00:46:01,920
Speaker 17: He's just thicking his finger in your eye, and we

894
00:46:02,000 --> 00:46:02,920
Speaker 17: love every minute of it.

895
00:46:04,200 --> 00:46:07,160
Speaker 3: So let's go a step further.

896
00:46:09,120 --> 00:46:11,520
Speaker 12: I want to analyze the psychology of humor a little

897
00:46:11,560 --> 00:46:15,120
Speaker 12: bit more. Is it fair to say that that those

898
00:46:15,160 --> 00:46:18,880
Speaker 12: that can't take a joke are insecure and that the

899
00:46:19,000 --> 00:46:22,120
Speaker 12: left is actually full of a lot of people that

900
00:46:22,200 --> 00:46:27,200
Speaker 12: are hyper credentialed, over educated in an upper middle class environment,

901
00:46:27,239 --> 00:46:29,040
Speaker 12: but deeply down are very insecure.

902
00:46:29,160 --> 00:46:32,960
Speaker 1: Yeah, I mean you kind of describe what they.

903
00:46:32,920 --> 00:46:36,279
Speaker 17: Appear to be, Yeah, but you want to know what's

904
00:46:36,400 --> 00:46:37,279
Speaker 17: underneath it.

905
00:46:38,040 --> 00:46:39,840
Speaker 1: And you know, I think.

906
00:46:39,640 --> 00:46:41,880
Speaker 17: About that a lot, and I think about you know,

907
00:46:41,920 --> 00:46:44,160
Speaker 17: when I was in high school, I was a liberal,

908
00:46:44,200 --> 00:46:48,200
Speaker 17: and I think one of the things I liked about

909
00:46:48,239 --> 00:46:51,279
Speaker 17: it was that it was. We didn't have a name

910
00:46:51,320 --> 00:46:54,960
Speaker 17: for it. It was virtue signaling. But it was easy status.

911
00:46:56,320 --> 00:47:00,520
Speaker 17: If you wanted status, high status from a teacher, you

912
00:47:01,200 --> 00:47:05,839
Speaker 17: uh push a liberal perspective in your debates or in

913
00:47:05,880 --> 00:47:10,080
Speaker 17: your term papers. So the idea excuse me at a.

914
00:47:10,080 --> 00:47:14,839
Speaker 18: Burger the.

915
00:47:16,840 --> 00:47:22,640
Speaker 17: If you know, if what is important to you is status,

916
00:47:23,640 --> 00:47:27,080
Speaker 17: I need to know that everybody around me likes me,

917
00:47:28,040 --> 00:47:33,120
Speaker 17: then I will look at what is popular and I

918
00:47:33,160 --> 00:47:37,000
Speaker 17: will echo that. That's how liberalism kind of works. One

919
00:47:37,080 --> 00:47:39,800
Speaker 17: of the things I always tell young conservatives, like, what

920
00:47:39,800 --> 00:47:41,879
Speaker 17: what do I do when I'm out numbered? When I'm

921
00:47:42,400 --> 00:47:44,840
Speaker 17: there and I'm being ganged up on by three or

922
00:47:44,880 --> 00:47:48,839
Speaker 17: four people, And I always say, ask them why it's

923
00:47:48,880 --> 00:47:50,279
Speaker 17: so important.

924
00:47:49,719 --> 00:47:51,399
Speaker 1: That I believe that I agree with you?

925
00:47:52,360 --> 00:47:52,680
Speaker 9: Yeah?

926
00:47:52,800 --> 00:47:54,160
Speaker 3: Why is it? Why do you need me?

927
00:47:54,400 --> 00:47:57,319
Speaker 17: Why is it so important that I should agree with you?

928
00:47:58,000 --> 00:47:59,840
Speaker 17: And then you might say, I think if you're looking

929
00:47:59,880 --> 00:48:03,959
Speaker 17: for if you're looking for reassurance that you are right,

930
00:48:04,600 --> 00:48:05,680
Speaker 17: I'm the wrong person.

931
00:48:06,520 --> 00:48:08,040
Speaker 1: And it's a very simple.

932
00:48:07,719 --> 00:48:09,600
Speaker 17: Way of because because they have to lead, they have

933
00:48:10,040 --> 00:48:12,680
Speaker 17: they should ask themselves why is it important that you

934
00:48:12,719 --> 00:48:17,200
Speaker 17: agree with me? Because they themselves aren't sure. They are

935
00:48:17,200 --> 00:48:19,520
Speaker 17: not sure it goes to the insecurity, but it has

936
00:48:19,560 --> 00:48:22,440
Speaker 17: to do with a desire to be cool, I ese status.

937
00:48:22,880 --> 00:48:27,799
Speaker 17: But they they they then mistake what is cool, which

938
00:48:27,840 --> 00:48:32,279
Speaker 17: is they think it's rebellion, but it's actually uh false rebellion.

939
00:48:32,760 --> 00:48:36,920
Speaker 17: What is rebellious, What is truly rebellious is rebelling against

940
00:48:37,000 --> 00:48:40,360
Speaker 17: the rebellion. That means if the guy says, look, dude,

941
00:48:40,560 --> 00:48:44,839
Speaker 17: I am you know I think that like the police suck,

942
00:48:45,080 --> 00:48:47,920
Speaker 17: I'm gonna throw rocks at eyes because I'm a rebel,

943
00:48:48,600 --> 00:48:52,040
Speaker 17: the true rebel tells that guy to fuck off. Excuse

944
00:48:52,120 --> 00:49:00,000
Speaker 17: my language. But so what what conservatism is has always

945
00:49:00,080 --> 00:49:04,960
Speaker 17: been rebellion against rebellion. And that is the real risk

946
00:49:05,040 --> 00:49:09,720
Speaker 17: in life, because you will be unpopular among the mid wits,

947
00:49:10,280 --> 00:49:14,080
Speaker 17: the lower intellect, the people who think there's anybody who

948
00:49:14,080 --> 00:49:17,759
Speaker 17: thinks they're smarter than you isn't and they know that.

949
00:49:18,080 --> 00:49:20,600
Speaker 17: So that is why that is why they adhere to

950
00:49:22,760 --> 00:49:27,239
Speaker 17: easy status through virtue signaling that then they don't do

951
00:49:27,400 --> 00:49:28,200
Speaker 17: anything about.

952
00:49:33,880 --> 00:49:36,880
Speaker 11: Got to admire what you've been able to do, not

953
00:49:36,920 --> 00:49:40,919
Speaker 11: to weaponize, but to organize on these college campuses.

954
00:49:40,600 --> 00:49:43,680
Speaker 12: At Turning Point, USA, We've spent thirteen years building the

955
00:49:43,680 --> 00:49:46,839
Speaker 12: machine and last year we sought payoff. Our grassroots army

956
00:49:46,880 --> 00:49:49,479
Speaker 12: is making a real difference. Help us keep the momentum going.

957
00:49:49,680 --> 00:49:54,520
Speaker 12: Donate today and keep tp USA strong on campuses across America, and.

958
00:49:54,520 --> 00:49:56,759
Speaker 13: For a gift of any amount, you'll receive your big

959
00:49:56,760 --> 00:49:58,240
Speaker 13: Gov Sucks Cooler claim.

960
00:49:58,280 --> 00:49:59,080
Speaker 9: Yours today