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Speaker 1: In shocking news, it turns out the people that have

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Speaker 1: financed burritos are going delinquent on those burrito payments. I

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Speaker 1: can't believe you can even do that. Also, the New

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Speaker 1: York Times out with a story about how since George Floyd,

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Speaker 1: police killings have gone up, but they're missing a pretty

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Speaker 1: massive caveat there. And lastly, you know, you just hate

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Speaker 1: to see this. Sponsors or former sponsors of Pride Festivities

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Speaker 1: as for next month's Pride coming up, are pulling back.

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Speaker 1: Oh darn it, you just you hate to see Pride

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Speaker 1: Festivities lose their funding. All that and more coming up

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Speaker 1: on this episode of Turning Point Tonight. My name is Jobob.

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

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Speaker 1: the chorus of America's cultural comeback, and this is Turning

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Speaker 1: Point Tonight. Now, before we get to any of that

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Speaker 1: and our fantastic panel, I have to talk about this

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Speaker 1: story coming out of Harvard, and not the story a

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Speaker 1: President Trump yanking money from Harvard, but instead them firing

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Speaker 1: the first tenured professor to be fired since the nineteen

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Speaker 1: forties at Harvard. Well, why did they fire this professor?

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Speaker 1: What did she do? What was she known for? Well,

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Speaker 1: she was known for conducting studies on dishonesty, and she

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Speaker 1: was fired for manipulating those studies and being dishonest about them.

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Speaker 1: You can't make it up. The irony is just too rich.

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Speaker 1: The Professor Francesca Gino was a renowned behavioral scientist and

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Speaker 1: professor at the Harvard Business School, known for doing studies

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Speaker 1: on how humans act and whether or not their honesty

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Speaker 1: was believable or their dishonesty wasn't believable. And turns out

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Speaker 1: she was manipulating the numbers and therefore being dishonest herself.

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Speaker 1: One of the bigger studies that she was found to

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Speaker 1: manipulate and put in fraudulent data was whether or not

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Speaker 1: people would be honest on forms they were filling out

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Speaker 1: if they had to sign an honesty pledge on that form.

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Speaker 1: In other words, if you're filling out your DMV paperwork,

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Speaker 1: at the end of it, you have to say I

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Speaker 1: so and so state that all the above things are true,

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Speaker 1: and then you sign it. She said, well, what if

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Speaker 1: people sign at the beginning saying nothing, I say going

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Speaker 1: forward will be dishonest and I guess well, she didn't

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Speaker 1: get the results she wanted, so she dishonestly manipulated those

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Speaker 1: results and resulted in well, a dishonest study about honesty, which, again,

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Speaker 1: the irony is all too rich. Unfortunately, too, this wasn't

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Speaker 1: even found out by the university itself. It was actually

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Speaker 1: found out by some bloggers online, a group called data

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Speaker 1: Kalata it's a fun play on the term pina klata

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Speaker 1: for those of you who didn't know, actually found out that, hey,

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Speaker 1: a bunch of these studies from twenty twelve to twenty

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Speaker 1: twenty or whatever the years were, we're really the data

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Speaker 1: doesn't really add up or make And after a big,

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Speaker 1: long investigation, this professor of honesty was fired for being dishonest. Again,

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Speaker 1: the irony is too rich and you can't make this

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Speaker 1: stuff up. Also, this is totally completely separate. It is

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Speaker 1: believed that this person made about a million dollars a year.

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Speaker 1: So there's also that I didn't know tenured professors at

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Speaker 1: Harvard made between two hundred and three hundred thousand dollars.

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Speaker 1: And then on top of that, they've got other stuff

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Speaker 1: going on outside of that. But holy how thank goodness. One,

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Speaker 1: this professor is getting fired. Two, the Trump administration is

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Speaker 1: a Yankee. Funding from schools like Harvard, and three, hopefully

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Speaker 1: we all learn who to trust and who not to trust,

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Speaker 1: because apparently the institutions carry almost no weight anymore. Here

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Speaker 1: to comment on all of that and more is the

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Speaker 1: co founder of conservatur the magazine, Jamie Franklin, and also

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Speaker 1: the College Republicans for America Press secretary Macy Gannell. Guys,

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Speaker 1: thank you so much for joining us.

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Speaker 2: Thanks thanks, Jimmy.

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Speaker 1: I want to start with you here. The Trump administration

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Speaker 1: pulling the funding from Harvard University. Their professor of honesty

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Speaker 1: ethics is caught for being dishonest. At what point can

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Speaker 1: we trust anything that these people say, because at this point,

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Speaker 1: you know, if you say, well, they're from Harvard, they

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Speaker 1: can't be lying to well, I mean, this particular individual

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Speaker 1: happens to be that case. I feel like this only

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Speaker 1: justifies Trump's administration for the very least looking into Harvard,

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Speaker 1: let alone whether or not they're going to be able

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Speaker 1: to pull their funding.

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Speaker 3: I mean, I.

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Speaker 4: Don't trust anything coming out of Harvard anymore. This is

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Speaker 4: the same university that produced Claudine Gay who was plagiarizing

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Speaker 4: on half of her papers. And this is also the

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Speaker 4: same university just like basically every Unfortunately every university in

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Speaker 4: the US right now that's peddling a fake history about

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Speaker 4: how terrible America is and pushing a communist narrative, And

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Speaker 4: so I can't be surprised that they are lying about everything.

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Speaker 4: I think you're seeing that there's a huge distrust in

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Speaker 4: institutions across the board, But our university system, especially Harvard,

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Speaker 4: Columbia and these other Ivy League schools, have unfortunately really

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Speaker 4: discredited themselves, which is really sad because these are some

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Speaker 4: of the leading universities in the world, and we used

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Speaker 4: to be proud of them as Americans. And now I

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Speaker 4: would suggest if you're a college student coming up and

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Speaker 4: applying for schools to go elsewhere.

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Speaker 1: Masie, this is fascinating to me. This is the first

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Speaker 1: tenured professor to be fired from Harvard since the forties,

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Speaker 1: so eighty years since a tenured professor was fired. First

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Speaker 1: of all, what the heck is tenure? Why do you

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Speaker 1: get to just not be fired? That seems insane to me.

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Speaker 1: But also too, it wasn't the university that caught this.

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Speaker 1: It was this online blogging site that was like, hey,

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Speaker 1: this seems to be some pretty big discrepancies in one

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Speaker 1: of your most prominent researchers here. It's not even coming

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Speaker 1: from the university itself. Now, obviously they fired her, but

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Speaker 1: you know what, is there a way to save these

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Speaker 1: institutions or the fact that they can't identify the internal

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Speaker 1: problems just make it so that you didy have to

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Speaker 1: go Yeah.

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Speaker 5: Well, I mean, first of all, let me say how

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Speaker 5: the turntables, because what a crazy instance this is, with

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Speaker 5: an honestly professor being anything but the memes right themselves.

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Speaker 5: These days, our jobs as conservatives exposing these people has.

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Speaker 2: Never been easier.

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Speaker 5: I think now the issue within these educational institutions, I

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Speaker 5: myself can speak to this because I'm currently college student.

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Speaker 5: These institutions are infested with liberals, So I think it.

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Speaker 2: Comes down to all of us.

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Speaker 5: It comes to us conservatives to really just step up

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Speaker 5: and start taking these roles in these educational institutions, because

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Speaker 5: if we don't, then we're going to keep having these

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Speaker 5: instances occur. And that's something As a college student myself,

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Speaker 5: I'm embarrassed to right now be affiliated with anything remotely

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Speaker 5: close to this because I am I'm at a very

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Speaker 5: liberal institution. So it's up to us conservatives to step

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Speaker 5: up and take the reins and we'll see how that

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Speaker 5: happens over the next few generations.

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Speaker 1: Yeah, some of those awesome conservatives universities, Hillsdale Liberty College,

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Speaker 1: it would be right to see those institutions kind of

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Speaker 1: carry the mantle of like, hey, you can trust us,

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Speaker 1: like we're gonna, you know, do things that are trustworthy

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Speaker 1: and do right by the American people. Speaking of trusting people,

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Speaker 1: The New York Times, Now, we love to hit the

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Speaker 1: New York Times here. I read the New York Times

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Speaker 1: every day so that you folks at home don't have to.

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Speaker 1: But the New York Times came out with a big

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Speaker 1: piece over the weekend talking about police killings, and the

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Speaker 1: article headline had a lot to do with police killings

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Speaker 1: are up since George Floyd. This is the fifth anniversary

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Speaker 1: of George Floyd dying, and people going berserk over that. Jamie.

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Speaker 1: The problem with this is that if you look at

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Speaker 1: the graph, Glenn, can we pull up that graph here

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Speaker 1: if we have it. This is the graph they used

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Speaker 1: to show that police killings are up. But if you

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Speaker 1: look really closely at the super small details of the graph,

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Speaker 1: unarmed killings are down. Now you can quibble about what

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Speaker 1: constitutes is unarmed, and if people were reaching for a

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Speaker 1: weapon and all that sort of stuff. But the bottom

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Speaker 1: line here is that this looks like a scare tag

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Speaker 1: time saying police killings are up. Okay, well, if their

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Speaker 1: police killings are up because people are pointing weapons at them,

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Speaker 1: I don't know how much that matters. And in some

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Speaker 1: respect to go, oh, not good, because you don't want

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Speaker 1: to see police have to kill anybody. But hey, at

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Speaker 1: least at least this seems to be more justifiable. Is

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Speaker 1: that your your take?

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Speaker 4: I mean, of course in New York Times is distorting

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Speaker 4: this data to make it look like something it's not,

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Speaker 4: to whip up a narrative and to get the whole

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Speaker 4: BLM crowd out there again. But what I think is

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Speaker 4: also an interesting point that goes off of this is

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Speaker 4: how much police cameras, which is what BLM activists really

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Speaker 4: fought for to get more camera footage, and how much

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Speaker 4: that's actually helped us conservatives because it's exposed how violent

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Speaker 4: a lot of these people are that honestly ends up

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Speaker 4: in a resulting of a police hating to use a

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Speaker 4: firearm in order to you know, save themselves. But every

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Speaker 4: single I've seen since BLM and since we've gotten these

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Speaker 4: cameras on all the officers, every single one of these

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Speaker 4: hoaxes that are peddled out are immediately come. They come

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Speaker 4: in with the camera footage and we see the truth

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Speaker 4: and we're immediately on the police officer's side. So BLM

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Speaker 4: really shot themselves in the foot for lack of a

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Speaker 4: better word, when they put these cameras on the officers

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Speaker 4: and they proved us correct. And I'm thankful that police

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Speaker 4: officers are now able to actually show, hey, I am

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Speaker 4: doing the right thing. And we should have nothing but

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Speaker 4: respect for police officers that put their lives out online.

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Speaker 4: Imagine how scary that is going up against these criminals

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Speaker 4: every day and saving you know, your town. And I

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Speaker 4: just don't think they get their due. And all these

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Speaker 4: talk show hosts that want to whip up a narrative

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Speaker 4: against the police are truly disgusting. And I'm so thankful

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Speaker 4: for our police officers and what they do.

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Speaker 1: Seriously, one hundred percent, Mazie. This I thought was an

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Speaker 1: interesting thing that they threw in there. They said that, well,

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Speaker 1: police killings in red states have actually gone up by

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Speaker 1: a couple percentage points, whereas blue states have gone down.

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Speaker 1: Now Obviously, the big caveat there is that Blue States

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Speaker 1: did listen to the BLM people and they defunded their police,

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Speaker 1: and therefore there's less interactions, and so there's less interactions,

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Speaker 1: the raw numbers statistically will probably go higher in a

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Speaker 1: place where there's more interactions. I feel like there's this

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Speaker 1: attempt to kind of obscure the data. Even though I

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Speaker 1: don't think they necessarily lied at all here, they contextualized

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Speaker 1: it in a way that makes it look really really bad.

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Speaker 2: Yeah, definitely.

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Speaker 5: I mean, first of all, I don't believe a single

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Speaker 5: word that comes out of the New York Times mouth.

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Speaker 5: I've never had any reason to trust anything they say.

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Speaker 5: Even if this is true. Though, like you were saying,

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Speaker 5: I mean the New York Times, they are a political

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Speaker 5: activist group.

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Speaker 2: They are not trying to spread the truth. They're not

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Speaker 2: spreading the news.

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Speaker 5: They're spreading propaganda, and they're spreading anti conservative agendas. It's

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Speaker 5: very concerning as a young American myself, to see these

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Speaker 5: ideals being spread so nonchalotly and just so casually diskewing

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Speaker 5: all these datas, all these data statistics. It's really disappointing

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Speaker 5: to see, honestly, and I'm really disappointed to see the

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Speaker 5: work coming out of them and their publication. I really

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Speaker 5: hope that we have other groups step up and actually

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Speaker 5: spread the truth as to what these numbers actually are,

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Speaker 5: because again I don't trust a single word coming out

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Speaker 5: of the out of.

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Speaker 2: This group's mouth.

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Speaker 1: Fair enough, fair enough, speaking of incompetence we saw, I

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Speaker 1: get this is just too funny. I hate to make

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Speaker 1: fun of an entire country, but North Korea, Oh my goodness,

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Speaker 1: North Korea launched a battleship and it almost immediately capsized

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Speaker 1: in the water, Jamie, despite the hilarity of it, I

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Speaker 1: think this should be a pretty chilling thing. Regarding what

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Speaker 1: Kim Jong un said after that, he labeled the mishap

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Speaker 1: an unpardonable criminal act, effectively then saying, Hey, anybody who's

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Speaker 1: responsible and in charge for building this ship that capsized

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Speaker 1: almost immediately is going to be held criminally liable in

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Speaker 1: North Korea, which I don't even really know what that means.

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Speaker 1: It kind of just gives me thankful of like, hey,

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Speaker 1: at least if I make a mistake, it'll be a mistake.

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Speaker 1: It won't I won't be put in jail for the

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Speaker 1: rest of my life.

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Speaker 4: I mean this is reason three million, forty seven two

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Speaker 4: thousand why we don't trust communism and why communism continues

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Speaker 4: to fail anyone who's ever tried it. This is just

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Speaker 4: like I said, another example, it's why America having a

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Speaker 4: capitalist and a free market society produces better products and

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Speaker 4: better things, and why we have the best military on earth.

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Speaker 4: And I feel terrible for whoever this communist propaganda machine

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Speaker 4: is going to blame for this, because I don't think

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Speaker 4: it will be a great ending for them, unfortunately. So

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Speaker 4: we are wishing everybody in North Korea obviously the best.

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Speaker 4: It's a very sad place to live, and it makes

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Speaker 4: you very thankful as an American that we have the

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Speaker 4: freedoms here and we get due process and trials in

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Speaker 4: this country.

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Speaker 1: That's that's the point that I was trying to make.

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Speaker 1: If yeah, you're right, this is thank god we are

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Speaker 1: not in a communist hellhole that does all this sort

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Speaker 1: of stuff. May see, the three senior officials were described

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Speaker 1: as care lifts, and the chief engineer and the head

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Speaker 1: of whole construction were detained in North Korea. It's funny

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Speaker 1: that their chip capsie, but holy cow, communist hell hole

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Speaker 1: to a t in this situation exactly.

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Speaker 5: Yeah, I mean, I don't have anything intelligent to add

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Speaker 5: other than raw ra America.

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Speaker 2: You would never have any of these issues where we're from.

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Speaker 2: So we're so lucky to have the.

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Speaker 5: Amazing military, that we have, the amazing people leading our country,

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Speaker 5: especially now now that we have an actual common sense

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Speaker 5: administration in place. So yeah, I mean, it's sad. It's

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Speaker 5: sad what's going on there. My heart goes out to

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Speaker 5: every single citizen there. I really hope that they do

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Speaker 5: get their act together because the thought of all these

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Speaker 5: citizens living underneath very corrupt leadership like this is not

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Speaker 5: something that we should celebrate by any means.

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Speaker 2: I think this is a rather serious situation.

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Speaker 5: But again, at the end of the day, I mean,

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Speaker 5: how lucky we are to be able to be in

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Speaker 5: the greatest country in the history of the world. I

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Speaker 5: love being an American and I'm proud of all days, especially

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Speaker 5: now seeing these news, to.

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Speaker 1: Be an American one hundred percent. Macy Jamie will be

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Speaker 1: right back after the break to discuss whether or not

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Speaker 1: you can or more likely should, finance a burrito and

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Speaker 1: also Pride sponsors for the Pride month that's coming up.

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Speaker 1: For some reason, we still do that pulling back all

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Speaker 1: that and more coming up after the break Go Go away.

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Speaker 6: From its DEI directives to the rampant antisemitism on campus,

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Speaker 6: Harvard has become the main target in President Trump's war

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Speaker 6: on elite universities.

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Speaker 3: Billions of dollars has been paid to Harvard. How ridiculous

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Speaker 3: is that?

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Speaker 6: But Harvard may just be the tip of the iceberg

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Speaker 6: given the amount of federal funds given to Ivy League

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Speaker 6: colleges and universities over the years. A deeper look into

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Speaker 6: the amount of funding trade schools get versus elite institutions

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Speaker 6: reveals a significant disparity. For context, federal funding for trade

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Speaker 6: schools have been channeled through various initiatives from the Department

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Speaker 6: of Education and the Department of Labor. President Trump knows

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Speaker 6: this and has separately taken the steps to boost trade

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Speaker 6: school programs to prepare Americans for the high haying, skilled

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Speaker 6: trade jobs of the future.

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Speaker 7: Because of your trade policy, We're going to train people

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Speaker 7: in trade, bring back tradecraft to America so that people

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Speaker 7: can work in these factories with great paying jobs, and

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Speaker 7: we're going to train them and we're going to remake

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Speaker 7: the American tream.

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Speaker 6: But in recent years, approximately one point nine billion dollars

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Speaker 6: in federal funding and special grants have supported trade schools

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Speaker 6: and vocational programs across the country, helping boost academic, vocational

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Speaker 6: and technical skills developments for students and programs like welding, plumbing, healthcare,

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Speaker 6: and much more. In contrast, elite colleges across the country,

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Speaker 6: including those IVY League schools like Harvard, receive around sixty

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Speaker 6: billion dollars annually in federal grants. That's three to five

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Speaker 6: times more federal funding than all trade schools combined. A

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Speaker 6: breakdown of these funds suggests trade schools receive around two

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Speaker 6: hundred thousand dollars each. IVY League schools receive around eight

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Speaker 6: hundred and seventy five million to one point two billion

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Speaker 6: dollars each. Trade schools enroll around two and a half

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Speaker 6: minus billion students annually, receiving an estimate of seven hundred

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Speaker 6: and sixty dollars per student. IVY League schools serve roughly

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Speaker 6: one hundred and fifty thousand students both graduate and undergraduate,

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Speaker 6: receiving an estimate of forty six thousand to sixty six

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Speaker 6: thousand dollars per student. Given this information, coupled with the

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Speaker 6: rising tensions with Harvard, President Trump has since floated redirecting

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Speaker 6: approximately three billion dollars from Harvard to trade schools, which

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Speaker 6: could nearly triple annual trade school funding. Addressing this significant gap,

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Speaker 6: the Trump administration remains diligent and ensuring that this funding,

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Speaker 6: coupled with working alongside state and local partners, can overhaul

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Speaker 6: the way trade schools operate.

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Speaker 8: We will work with our state partners and work with

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Speaker 8: our businesses to see exactly who they need in that workforce,

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Speaker 8: so we will skill and upscal these apprentices so they

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Speaker 8: can get right to work and get in the field

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Speaker 8: and build back this economy for exactly the.

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Speaker 3: Living the American dream.

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Speaker 6: This additional three billion dollars could fund around three hundred

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Speaker 6: thousand trade school students at an average cost of ten

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Speaker 6: thousand dollars per student, or provide three hundred and nineteen

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Speaker 6: thousand dollars per institution across the estimated ninety.

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Speaker 3: Four hundred trade schools across the country.

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Speaker 6: Micro former Dirty Jobs host and CEO of the Micro

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Speaker 6: Works Foundation understands just this, emphasizing that with more support

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Speaker 6: in this field to uplift trade schools, the more impact

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Speaker 6: it could make on a.

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Speaker 3: Local and national level.

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Speaker 9: It impacts every zip code, it impacts every state. It

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Speaker 9: certainly impacts our country. It impacts the way our countries perceived.

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Speaker 9: It impacts the unemployment numbers obviously, but the workforce participation

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Speaker 9: rate as well.

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Speaker 6: On top of that, more positively, trade school enrollment has

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Speaker 6: been trending upwards significantly, anywhere between five percent to seventeen percent,

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Speaker 6: depending on the type of school or program, while Ivy

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Speaker 6: League applications have dropped four percent, reflecting a shift towards

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Speaker 6: practical skills training.

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Speaker 3: But despite this, trade schools remain underfunded compared.

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Speaker 6: To elite universities, and with these actions and three billion

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Speaker 6: dollar allocations, President and Trump could.

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Speaker 3: Start to change just that.

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Speaker 6: From the White House forefront lines with Turning Point, I'm

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Speaker 6: Monica Page, It's.

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Speaker 1: Turning Point, It's White House Correspondent, Monica Page. Fantastic reporting

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Speaker 1: coming out of my favorite White House correspondent, and should

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Speaker 1: be yours as well. This I thought was fascinating in

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Speaker 1: just from a cultural perspective and people being responsible with

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Speaker 1: their finances. More specifically Klarna, which is a buy now,

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Speaker 1: pay later app. It's like a credit card system, but

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Speaker 1: not really because there's no interest and you make payments

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Speaker 1: in installments. Well, unfortunately for the American people. I guess

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Speaker 1: that we have this option, you can finance just about

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Speaker 1: anything with the whole buy now, pay later, and Klarna,

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Speaker 1: one of the bigger companies that are doing this, has

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Speaker 1: seen pretty devastating results of that. Let's bring our panel

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Speaker 1: back in Jamie and Macy this is fascinating to me.

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Speaker 1: Clarna in Q one of twenty twenty five said they

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Speaker 1: lost one hundred million dollars get this because people aren't

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Speaker 1: paying their bills. Jamie. I don't want to, you know,

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Speaker 1: root for someone's demise, but it seems to me if

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Speaker 1: you're going to be a company that allows somebody to

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Speaker 1: pay in installments for a burrito from Chipotle, I don't

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Speaker 1: think that's the person that you should be lending money to.

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Speaker 1: Do you think this is gonna work long term with

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Speaker 1: this buy now, pay later things, considering how delinquent people

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Speaker 1: are with their payments.

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Speaker 4: Absolutely not. If you're the type of person that has

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Speaker 4: to finance buying a burrito, you definitely shouldn't be getting

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Speaker 4: money lent to you. That's just not a smart business decision.

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Speaker 4: And I would love to get a Dave Ramsey reacts

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Speaker 4: on the story. I think that would be hilarious what

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Speaker 4: he has to say about this. And I already thought

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Speaker 4: as Americans we had hit a low when DoorDash was

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Speaker 4: a thing, it became a thing. I mean, like now

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Speaker 4: people are so lazy. Instead of just walking out or

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Speaker 4: driving to get food, they get a private car and

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Speaker 4: they pay like twenty extra thirty dollars sometimes extra to

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Speaker 4: get food. I will admit I've done it before and

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Speaker 4: I'm not proud of it, but this is just a

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Speaker 4: new low that we're going down to. It's really sad

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Speaker 4: state of our country, to be quite honest. And you know,

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Speaker 4: I'm a huge proponent of American capitalism, but I will

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Speaker 4: say that some of the down parts of capitalism, as

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Speaker 4: there's down parts of everything, is just profiting off of

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Speaker 4: people's laziness. I mean, that's all I can say about this,

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Speaker 4: and it's a sad state for our country. And would

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Speaker 4: love to get Dave Ramsey's take, like I said on it.

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Speaker 1: Yeah, Dave Ramsey'd be probably pulling his hair or wow,

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Speaker 1: that was an unfortunate banging his head against the wall.

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Speaker 1: There's no shade against Dave. I love Dave, but yeah,

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Speaker 1: he would probably be begging his head against the wall, goig,

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Speaker 1: what the heck is going on? May see? This is

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Speaker 1: a big problem with this is like young buyers, people

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Speaker 1: your age, people that you probably know who kind of

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Speaker 1: just don't think about things. Ah, I'll click the pay

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Speaker 1: later thing. This is the buy now, pay later thing

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Speaker 1: has gotten huge. I think in twenty twenty two, which

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Speaker 1: is the most recent statistics, we have almost a quarter

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Speaker 1: of a billion dollars were issued with this buy now,

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Speaker 1: pay later thing. What can what can be done about

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Speaker 1: the kind of the younger generation just having a more

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Speaker 1: realistic attachment or understanding of money and how it works. Right.

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Speaker 5: I hope that this is a wake up call to

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Speaker 5: our nation that we need financial literacy taught in our schools.

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Speaker 5: As a college student myself, I have had deero classes

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Speaker 5: or any knowledge spread whatsoever about basic financial habits. And

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Speaker 5: that's something that we need to make a normal thing,

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Speaker 5: not just in higher education, ball so in elementary school,

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Speaker 5: high school, all of it. So I really hope that

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Speaker 5: the educational institutions pick up the slack and really teach

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Speaker 5: kids that this is not a good decision to make

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Speaker 5: financing an eight dollars burrito, Okay, again, it's on these

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Speaker 5: educational institutions. So how about we teach financial literacy and

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Speaker 5: economic expertise instead of teaching all about sexuality and zezer

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Speaker 5: that they then pronounced.

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Speaker 2: How about that?

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Speaker 1: Yeah, that would be that. Financial literacy I think is

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Speaker 1: maybe the most important thing other than like reading and

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Speaker 1: basic math, that I think schools can teach, and they

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Speaker 1: don't freaking teach it. I think they still teach kids

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Speaker 1: how to write checks now in schools, which I don't.

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Speaker 10: I don't know.

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Speaker 1: I haven't written a physical check in years. But that's

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Speaker 1: a different story for a different time, speaking to people

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Speaker 1: who aren't writing checks. Pride Month, of course, this is

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Speaker 1: a big thing. You know, Pride Month's coming up in June.

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Speaker 1: We all roll our eyes, you know, and you hate

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Speaker 1: to see this. It's just it's just awful and terrible.

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Speaker 1: But sponsors are pulling out of Pride festivities, Jamie. This

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Speaker 1: I thought was interesting though, a lot of the companies

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Speaker 1: that are pulling back their sponsorships for Pride Month are

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Speaker 1: citing the tariffs. You know, it's uncertainty, so we don't know,

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Speaker 1: we can't give money there is Is that realistic or

438
00:22:44,480 --> 00:22:46,879
Speaker 1: you think they're just recognized reading the writing on the

439
00:22:46,880 --> 00:22:50,119
Speaker 1: wall and going, oh, yeah, people don't really like this

440
00:22:50,160 --> 00:22:51,800
Speaker 1: as much as we thought they did.

441
00:22:52,920 --> 00:22:53,800
Speaker 2: I mean shocking.

442
00:22:53,840 --> 00:22:57,080
Speaker 4: People don't want their kids exposed to naked men wearing

443
00:22:57,560 --> 00:23:00,840
Speaker 4: like leather bondage on the street and marching through parks

444
00:23:01,119 --> 00:23:04,080
Speaker 4: naked on bicycles. Some of the scenes I've seen from

445
00:23:04,119 --> 00:23:07,760
Speaker 4: Pride is just horrifying, like genuinely horrifying. And I don't

446
00:23:07,800 --> 00:23:10,719
Speaker 4: know how we don't have public indecency laws that can

447
00:23:10,760 --> 00:23:13,479
Speaker 4: apply to this. And so I'm thankful that the American

448
00:23:13,480 --> 00:23:15,800
Speaker 4: people spoke in this last election and they've shown that

449
00:23:15,840 --> 00:23:19,359
Speaker 4: we are just rejecting all of the pride, the woke,

450
00:23:19,480 --> 00:23:23,760
Speaker 4: the dei and everything in between. We just want normalcy,

451
00:23:23,800 --> 00:23:27,679
Speaker 4: and we want celebration of normal values and even just

452
00:23:27,760 --> 00:23:30,080
Speaker 4: pull aside the nudity out of the Pride. I don't

453
00:23:30,080 --> 00:23:32,640
Speaker 4: get why we have a whole month to celebrate someone's sexuality.

454
00:23:32,680 --> 00:23:34,840
Speaker 4: I don't get why my Amazon package is showing up

455
00:23:34,880 --> 00:23:38,600
Speaker 4: with fifty rainbow flags tied around it. And every year

456
00:23:38,920 --> 00:23:41,199
Speaker 4: I'm driving I live in Alexandria, and every year I

457
00:23:41,280 --> 00:23:43,719
Speaker 4: drive down the street and all the Pride flags go up,

458
00:23:43,720 --> 00:23:46,679
Speaker 4: and I'm just like, why, why are we celebrating this.

459
00:23:46,800 --> 00:23:49,399
Speaker 4: I don't veterans get two days two days out of

460
00:23:49,400 --> 00:23:52,399
Speaker 4: the year, and yet we have to celebrate somebody's sex life,

461
00:23:52,440 --> 00:23:55,480
Speaker 4: like we're not even celebrating we should if we're celebrating anybody,

462
00:23:55,480 --> 00:23:59,800
Speaker 4: we should be celebrating regular heterosexual couples who have families,

463
00:24:00,000 --> 00:24:02,320
Speaker 4: produce the next generation of Americans and keep this world

464
00:24:02,359 --> 00:24:05,720
Speaker 4: going for the since Adam and even so, I don't

465
00:24:05,840 --> 00:24:08,960
Speaker 4: once again, I think, gosh, these companies are pulling away

466
00:24:09,000 --> 00:24:12,159
Speaker 4: from this, and I hope that pride just continues to

467
00:24:12,200 --> 00:24:14,840
Speaker 4: go further and further away, and we need to get

468
00:24:14,840 --> 00:24:15,560
Speaker 4: out in protest.

469
00:24:15,560 --> 00:24:18,200
Speaker 1: In my opinion, Yeah, I think Charlie would also throw

470
00:24:18,240 --> 00:24:20,399
Speaker 1: in the fact that pride is a sin. Just just

471
00:24:20,760 --> 00:24:24,600
Speaker 1: keep that in perspective, Macie. You know, some companies are

472
00:24:24,640 --> 00:24:27,480
Speaker 1: outwardly saying, hey, we're going to pull back. Other companies

473
00:24:27,560 --> 00:24:29,960
Speaker 1: who have been flying under the radar are continuing to

474
00:24:30,000 --> 00:24:32,520
Speaker 1: fly under the radar. What's the best kind of approach

475
00:24:32,880 --> 00:24:36,240
Speaker 1: for companies nowadays? Do they say, hey, hey, we're pulling back,

476
00:24:36,280 --> 00:24:39,080
Speaker 1: we made a mistake, or do they just go, eh,

477
00:24:39,160 --> 00:24:41,960
Speaker 1: We're just gonna slide under the raidar and hope nobody notices.

478
00:24:43,400 --> 00:24:45,119
Speaker 5: Well, I hope that people own up to it, up

479
00:24:45,119 --> 00:24:48,439
Speaker 5: to the mistakes, and publicly announce that, hey, we did

480
00:24:48,480 --> 00:24:50,240
Speaker 5: an oopsie, maybe we shouldn't.

481
00:24:49,840 --> 00:24:52,199
Speaker 2: Be celebrating naked people and gay pride all of that.

482
00:24:52,240 --> 00:24:54,040
Speaker 5: So I hope that they would speak out and be

483
00:24:54,119 --> 00:24:55,760
Speaker 5: proud of the fact that they're making the right choice

484
00:24:55,760 --> 00:24:57,920
Speaker 5: and they're stepping away from this because, like we said,

485
00:24:57,920 --> 00:25:00,320
Speaker 5: I mean, the American people have a man d that

486
00:25:00,320 --> 00:25:04,000
Speaker 5: we've given our country and our administration. Okay, we don't

487
00:25:04,200 --> 00:25:07,040
Speaker 5: want this weird gay stuff anymore. Okay, It's as simple

488
00:25:07,280 --> 00:25:09,280
Speaker 5: as that. So the company should realize that it's not

489
00:25:09,320 --> 00:25:12,000
Speaker 5: profitable anymore to be selling the rabo flags and be

490
00:25:12,000 --> 00:25:14,000
Speaker 5: selling the leather bondage all that it's discussing.

491
00:25:14,040 --> 00:25:16,160
Speaker 2: Okay, let's make America classy again.

492
00:25:16,440 --> 00:25:19,080
Speaker 5: Let's own up to our mistakes, and let's just turn

493
00:25:19,119 --> 00:25:20,440
Speaker 5: the tide and let's be normal again.

494
00:25:21,160 --> 00:25:25,080
Speaker 1: Yeah, normalcy the hallmark of conservatism in the in the

495
00:25:25,119 --> 00:25:28,040
Speaker 1: modern age, may see. Jamie, guys, thank you so much

496
00:25:28,080 --> 00:25:30,120
Speaker 1: for joining us. Really really appreciate you taking time. We'll

497
00:25:30,119 --> 00:25:30,600
Speaker 1: have you back.

498
00:25:31,520 --> 00:25:31,879
Speaker 6: Thank you.

499
00:25:32,480 --> 00:25:33,080
Speaker 10: I gank you.

500
00:25:33,680 --> 00:25:35,840
Speaker 1: Coming up, we got a fantastic clip from Alice Far's

501
00:25:35,840 --> 00:25:39,440
Speaker 1: Cultural Apothecary podcast produced by Turning Point Us say do

502
00:25:39,560 --> 00:25:40,800
Speaker 1: go away, We'll be right back after this.

503
00:25:53,720 --> 00:25:56,840
Speaker 11: What are the biggest signs that somebody has a mold problem.

504
00:25:56,480 --> 00:25:56,920
Speaker 2: In their home?

505
00:25:57,240 --> 00:25:59,840
Speaker 12: For me, the biggest sign is how do you feel

506
00:25:59,880 --> 00:26:01,960
Speaker 12: in the house. That's one of the first things I

507
00:26:02,000 --> 00:26:03,760
Speaker 12: ask when I go in and do an assessment is

508
00:26:04,119 --> 00:26:06,520
Speaker 12: what is the health of you and your family? Do

509
00:26:06,520 --> 00:26:08,560
Speaker 12: you guys feel well in the home when you go

510
00:26:08,600 --> 00:26:11,600
Speaker 12: on vacation, do you feel better? We were just talking

511
00:26:11,880 --> 00:26:13,879
Speaker 12: to someone here that they said every time they go

512
00:26:13,920 --> 00:26:16,760
Speaker 12: into their house they feel drained and tired and lethargic.

513
00:26:17,000 --> 00:26:18,680
Speaker 12: I mean, that's a big sign right there that there's

514
00:26:18,720 --> 00:26:20,879
Speaker 12: something going on. But then the second thing is we

515
00:26:20,960 --> 00:26:24,000
Speaker 12: talk about water events. If you had toilets that overflow.

516
00:26:24,040 --> 00:26:25,440
Speaker 12: Do you have a four year old that plays in

517
00:26:25,480 --> 00:26:28,480
Speaker 12: the bathtub every night and splashes water everywhere? Has there

518
00:26:28,680 --> 00:26:30,960
Speaker 12: been roof leaks? You know, all of these things are

519
00:26:31,000 --> 00:26:33,520
Speaker 12: signs that we have a mold problem because mold has

520
00:26:33,560 --> 00:26:35,440
Speaker 12: to have water to grow, so we're chasing the.

521
00:26:35,359 --> 00:26:37,560
Speaker 11: Water, basement flooding, all that kind of stuff.

522
00:26:37,840 --> 00:26:38,159
Speaker 10: Flooding.

523
00:26:38,200 --> 00:26:41,480
Speaker 11: Yeah, Anyway, my best friend was renting a home and

524
00:26:42,119 --> 00:26:47,239
Speaker 11: basement totally flooded during a storm, and her sons were

525
00:26:47,400 --> 00:26:50,439
Speaker 11: getting so severely ill all the time. They had their

526
00:26:50,480 --> 00:26:53,239
Speaker 11: place tested for mold. All the mold infestation was in

527
00:26:53,280 --> 00:26:55,680
Speaker 11: their room, and so you know, it was like constant

528
00:26:55,680 --> 00:26:57,400
Speaker 11: ear infections and things like that. So do you see

529
00:26:57,400 --> 00:26:59,920
Speaker 11: that a lot like frequent ear infections asthma is asthma

530
00:27:00,240 --> 00:27:00,639
Speaker 11: of mold.

531
00:27:00,880 --> 00:27:03,359
Speaker 12: Yes, because the body has to fight this off as

532
00:27:03,359 --> 00:27:06,080
Speaker 12: a toxic and so if it's constantly dealing with mold

533
00:27:06,119 --> 00:27:09,720
Speaker 12: spores and microtoxins or bacteria or allergens, then when other

534
00:27:09,840 --> 00:27:12,679
Speaker 12: viruses or things come in, the troops are already fighting.

535
00:27:12,760 --> 00:27:15,919
Speaker 12: It's there's not much more room for the immune system

536
00:27:15,920 --> 00:27:18,479
Speaker 12: to fight these other things off. So you see people

537
00:27:18,520 --> 00:27:21,399
Speaker 12: constantly getting sick or there's like my kids always have

538
00:27:21,440 --> 00:27:23,680
Speaker 12: a cold or a stuff he knows, or they're always

539
00:27:23,680 --> 00:27:26,320
Speaker 12: getting sick. It's because the bodies are fighting off. Our

540
00:27:26,359 --> 00:27:28,840
Speaker 12: bodies are good at fighting off disease and illness, but

541
00:27:28,880 --> 00:27:30,000
Speaker 12: we have to support.

542
00:27:29,600 --> 00:27:32,880
Speaker 11: It somebody else. I know a couple sorority girls living

543
00:27:32,880 --> 00:27:35,840
Speaker 11: in a sorority house. One by one, all of these

544
00:27:35,840 --> 00:27:40,880
Speaker 11: girls started getting extremely irritable, moody, just huge mood swings

545
00:27:40,960 --> 00:27:44,359
Speaker 11: personality changes. Come to find out, all of them started

546
00:27:44,359 --> 00:27:46,800
Speaker 11: showing those signs. But then the one that was having

547
00:27:46,800 --> 00:27:50,080
Speaker 11: the biggest personality changes her room was the source of

548
00:27:50,119 --> 00:27:53,399
Speaker 11: a major black mold infestation. Now I have never heard

549
00:27:53,440 --> 00:27:56,600
Speaker 11: of personality or mood changes with mold, but is that

550
00:27:56,640 --> 00:27:57,400
Speaker 11: one of the signs?

551
00:27:57,560 --> 00:27:59,639
Speaker 12: Absolutely yeah, and I'm seeing that, and that's something that

552
00:27:59,720 --> 00:28:02,760
Speaker 12: open my eyes up. I had a couple that called

553
00:28:02,800 --> 00:28:05,440
Speaker 12: me up to do an inspection, and I did a

554
00:28:05,520 --> 00:28:07,320
Speaker 12: video console with them first, and they were sitting at

555
00:28:07,320 --> 00:28:09,160
Speaker 12: opposites and of the couch I could tell they weren't

556
00:28:09,160 --> 00:28:12,280
Speaker 12: getting a long, super grouchy, irritable. We found a ton

557
00:28:12,320 --> 00:28:15,080
Speaker 12: of mold in their house, very toxic. They moved out,

558
00:28:15,200 --> 00:28:18,119
Speaker 12: fixed the mold, moved back in. Six months later, they

559
00:28:18,160 --> 00:28:20,600
Speaker 12: schedule an appointment with me and everything was completely They

560
00:28:20,600 --> 00:28:23,280
Speaker 12: were sitting next to each other like hold hands and

561
00:28:23,320 --> 00:28:25,760
Speaker 12: the only reason they set up the appointment was to

562
00:28:25,800 --> 00:28:27,880
Speaker 12: tell me thank you for saving their marriage. They said

563
00:28:27,880 --> 00:28:30,800
Speaker 12: they were about to get divorced. They couldn't stand each other.

564
00:28:31,119 --> 00:28:32,919
Speaker 12: And when they fixed the mold and moved back in,

565
00:28:33,160 --> 00:28:36,240
Speaker 12: the irritability went away, the love came back. And the

566
00:28:36,280 --> 00:28:38,560
Speaker 12: crazy thing is they had bought that home out of

567
00:28:38,560 --> 00:28:41,920
Speaker 12: a divorce. The previous people that lived there did get divorced,

568
00:28:42,320 --> 00:28:45,360
Speaker 12: and after they moved out, they got back together again.

569
00:28:45,920 --> 00:28:48,880
Speaker 11: No wait, wait, the other couple that got divorced got

570
00:28:48,920 --> 00:28:50,520
Speaker 11: back together after moving out of the mold house.

571
00:28:50,880 --> 00:28:51,400
Speaker 10: You were kidding.

572
00:28:51,440 --> 00:28:53,520
Speaker 11: That is one of the craziest mold choys I've ever heard.

573
00:28:53,600 --> 00:28:55,280
Speaker 10: And I have other stuff like that too. That's not

574
00:28:55,360 --> 00:28:56,080
Speaker 10: that uncommon.

575
00:28:56,360 --> 00:28:58,360
Speaker 11: What are the top places in a home? Mold could

576
00:28:58,400 --> 00:28:59,160
Speaker 11: be hiding.

577
00:28:59,000 --> 00:29:00,880
Speaker 12: Any place that we're gonna have water, So we want

578
00:29:00,920 --> 00:29:05,200
Speaker 12: to think about our dishwasher, our washing machine, underneath all

579
00:29:05,240 --> 00:29:07,960
Speaker 12: of the sinks, around the toilets, looking in the toilet tank.

580
00:29:08,000 --> 00:29:10,200
Speaker 12: That's a big hack that you can do right now

581
00:29:10,280 --> 00:29:11,880
Speaker 12: in your home is just go look in the toilet

582
00:29:11,920 --> 00:29:14,360
Speaker 12: tank and see if you have mold growing around the

583
00:29:14,400 --> 00:29:16,719
Speaker 12: showers and in the HVAC system.

584
00:29:17,160 --> 00:29:20,440
Speaker 11: I have a friend who is having some like speckles

585
00:29:20,520 --> 00:29:24,240
Speaker 11: keep developing more and more on just the toilet seat. Interesting,

586
00:29:24,400 --> 00:29:25,000
Speaker 11: it's weird.

587
00:29:25,160 --> 00:29:25,920
Speaker 10: That is kind of weird.

588
00:29:26,440 --> 00:29:28,520
Speaker 11: She's wondering if that's mold, but like it keeps getting

589
00:29:28,520 --> 00:29:30,520
Speaker 11: worse and worse. I told her to check the toilet tank.

590
00:29:30,800 --> 00:29:33,560
Speaker 12: Yeah, okay, yeah, so if she wipes it up and

591
00:29:33,600 --> 00:29:35,720
Speaker 12: then it comes back, then it's either going to be

592
00:29:35,800 --> 00:29:37,040
Speaker 12: mold or some bacteria.

593
00:29:37,200 --> 00:29:40,960
Speaker 11: Is all mold dangerous or is some mold okay to

594
00:29:41,000 --> 00:29:41,320
Speaker 11: live with?

595
00:29:41,640 --> 00:29:43,920
Speaker 12: Yeah, so there's thousands of different species of mold, and

596
00:29:43,960 --> 00:29:46,959
Speaker 12: some are very dangerous, very toxic, like black mold. They

597
00:29:47,000 --> 00:29:49,480
Speaker 12: actually use that for weapons of mass destruction, like for

598
00:29:49,680 --> 00:29:52,479
Speaker 12: chemical warfare. They derive some of the compounds from that.

599
00:29:52,800 --> 00:29:55,320
Speaker 12: But then we have more lower end mold, like the

600
00:29:55,440 --> 00:29:58,480
Speaker 12: slang term for mildew, which is not really harmful. I

601
00:29:58,520 --> 00:30:00,520
Speaker 12: mean there's and then they have penicillin. You know, there's

602
00:30:00,760 --> 00:30:03,040
Speaker 12: blue cheese that has mold in it that's not harmful.

603
00:30:03,080 --> 00:30:04,560
Speaker 12: So there's a whole spectrum to mold.

604
00:30:04,920 --> 00:30:07,320
Speaker 11: When is it time to move out versus just have

605
00:30:07,480 --> 00:30:08,560
Speaker 11: somebody clean the mold.

606
00:30:08,840 --> 00:30:11,600
Speaker 12: That really depends on how bad the mold is, what

607
00:30:11,680 --> 00:30:14,000
Speaker 12: type of mold it is, and how sick the occupants are.

608
00:30:14,280 --> 00:30:16,680
Speaker 12: So if I go into home all the occupants are

609
00:30:16,720 --> 00:30:19,360
Speaker 12: really sick, not doing well, and we're finding black mold

610
00:30:19,400 --> 00:30:20,960
Speaker 12: on the wall, yeah, you guys need to move out,

611
00:30:20,960 --> 00:30:24,280
Speaker 12: get your health in order, and we'll readdress situation. But

612
00:30:24,760 --> 00:30:28,880
Speaker 12: if occupants are fine, but there is some black mold

613
00:30:28,880 --> 00:30:30,680
Speaker 12: that's kind of on the border, like you're going to

614
00:30:30,720 --> 00:30:33,240
Speaker 12: get sick eventually if you stay here long enough. So

615
00:30:33,320 --> 00:30:34,880
Speaker 12: a lot of it also comes down to what's the

616
00:30:34,920 --> 00:30:37,280
Speaker 12: financial means, because I don't want to stress people out

617
00:30:37,280 --> 00:30:39,680
Speaker 12: if they can't afford to govnt in Airbnb for two

618
00:30:39,720 --> 00:30:41,960
Speaker 12: months while their home gets renovated. So you got to

619
00:30:42,040 --> 00:30:43,480
Speaker 12: kind of take all those into account.

620
00:30:43,640 --> 00:30:46,240
Speaker 11: If somebody doesn't use test my home, which is your

621
00:30:46,280 --> 00:30:49,040
Speaker 11: company they want to use like some local person, what

622
00:30:49,080 --> 00:30:51,080
Speaker 11: are the types of questions that they should be asking

623
00:30:51,120 --> 00:30:53,040
Speaker 11: a mold inspector or somebody that's supposed to be cleaning

624
00:30:53,040 --> 00:30:54,600
Speaker 11: out the mold to make sure that they're legit.

625
00:30:54,840 --> 00:30:56,960
Speaker 12: You want to find somebody that's not tight in with

626
00:30:57,000 --> 00:30:59,480
Speaker 12: the remediation company. That's really the first thing that all

627
00:30:59,520 --> 00:31:02,600
Speaker 12: they do is independent testing. Otherwise you're basically getting a

628
00:31:02,640 --> 00:31:05,480
Speaker 12: salesman for the remediation company and the results are going

629
00:31:05,560 --> 00:31:07,840
Speaker 12: to be skewed. You know, they're looking for work, and

630
00:31:07,920 --> 00:31:10,800
Speaker 12: so they might offer a free or really cheap mold

631
00:31:10,840 --> 00:31:13,360
Speaker 12: inspection to come out, and of course they're going to

632
00:31:13,360 --> 00:31:16,800
Speaker 12: try to find mold because they're salespeople for the remediation company.

633
00:31:16,880 --> 00:31:19,320
Speaker 12: So that's really the first one. Second one is make

634
00:31:19,320 --> 00:31:21,800
Speaker 12: sure that the owner is going to be involved somehow.

635
00:31:21,800 --> 00:31:23,920
Speaker 12: It's not like a national chain where they just hired

636
00:31:23,920 --> 00:31:25,680
Speaker 12: some high school kids to come out and take some

637
00:31:25,720 --> 00:31:28,320
Speaker 12: air samples. You want the owner there. He cares about

638
00:31:28,320 --> 00:31:32,880
Speaker 12: his reputation. At least five years of experience. You know,

639
00:31:34,240 --> 00:31:36,160
Speaker 12: I've been doing this a long time and I'm still learning.

640
00:31:36,200 --> 00:31:38,880
Speaker 12: So the more experience they have, the better. And then

641
00:31:39,000 --> 00:31:40,840
Speaker 12: talk to them, you know, just how do you feel

642
00:31:40,920 --> 00:31:43,360
Speaker 12: about this person, Do a little interview with them, and

643
00:31:43,400 --> 00:31:45,080
Speaker 12: what kind of vibes you get off of them, and

644
00:31:45,200 --> 00:31:47,080
Speaker 12: of course reviews, you know, good reviews. But if you

645
00:31:47,120 --> 00:31:49,600
Speaker 12: can do all those things, then you'll probably find someone good.

646
00:31:50,160 --> 00:31:52,600
Speaker 11: Is there a way to test for mold behind walls

647
00:31:52,640 --> 00:31:54,320
Speaker 11: without completely destroying your house?

648
00:31:54,600 --> 00:31:56,480
Speaker 12: Yes, and so a lot of times that's where the

649
00:31:56,480 --> 00:31:59,440
Speaker 12: mold is, right, it's behind the walls, it's behind the cabinetry,

650
00:31:59,520 --> 00:32:02,280
Speaker 12: it's behind shower. We do what's called a cavity sample,

651
00:32:02,280 --> 00:32:04,239
Speaker 12: where we drill a little hole in the wall and

652
00:32:04,280 --> 00:32:06,680
Speaker 12: we stick a tube into the wall, and then we

653
00:32:06,720 --> 00:32:09,280
Speaker 12: hook it up to a suction pump, pull air out

654
00:32:09,360 --> 00:32:12,520
Speaker 12: and run that through our little sampling cassette, and so

655
00:32:12,600 --> 00:32:14,600
Speaker 12: we can collect whatever's going on in the wall, and

656
00:32:14,640 --> 00:32:15,840
Speaker 12: sometimes we'll disturb the wall.

657
00:32:15,840 --> 00:32:18,080
Speaker 10: We'll do a disturbed sample. We'll hit on the wall.

658
00:32:18,320 --> 00:32:20,520
Speaker 12: If there's any mold spores, we're going to agitate those

659
00:32:20,840 --> 00:32:22,600
Speaker 12: and then we can suck that air out and see

660
00:32:22,720 --> 00:32:24,280
Speaker 12: and that gives us a good idea of what's going

661
00:32:24,320 --> 00:32:25,120
Speaker 12: on behind the walls.

662
00:32:25,440 --> 00:32:28,080
Speaker 11: If mold is visible on the outside of a wall,

663
00:32:28,120 --> 00:32:30,280
Speaker 11: does that mean it's probably ten times worse on the

664
00:32:30,280 --> 00:32:31,640
Speaker 11: inside or not? Necessarily?

665
00:32:31,800 --> 00:32:34,800
Speaker 12: It depends. So in a bathroom we get condensations. So

666
00:32:34,880 --> 00:32:37,040
Speaker 12: if you know, you got teenage kids and they're not

667
00:32:37,160 --> 00:32:38,920
Speaker 12: using the fan and they're taking a lot of showers,

668
00:32:38,960 --> 00:32:41,400
Speaker 12: then we can see the surface mold start to grow.

669
00:32:41,600 --> 00:32:44,600
Speaker 12: That doesn't necessarily mean it's behind the wall. But if

670
00:32:44,640 --> 00:32:46,600
Speaker 12: we have like a roof leak, or it's around a

671
00:32:46,640 --> 00:32:49,040
Speaker 12: window where the water came from the inside of the

672
00:32:49,040 --> 00:32:51,360
Speaker 12: wall and we're seeing it on the outside, then that's

673
00:32:51,440 --> 00:32:52,600
Speaker 12: usually the tip of the iceberg.

674
00:32:52,600 --> 00:32:54,240
Speaker 10: It's usually much worse behind the wall.

675
00:32:54,520 --> 00:32:56,520
Speaker 11: Are there certain types of material when it comes to

676
00:32:56,560 --> 00:32:59,200
Speaker 11: building a shower that are worse or better to use

677
00:32:59,240 --> 00:33:02,440
Speaker 11: than others? Like I'm thinking like stone or you know,

678
00:33:02,720 --> 00:33:06,480
Speaker 11: tile or shower curtains versus glass doors things like that.

679
00:33:06,720 --> 00:33:10,400
Speaker 12: Yeah, I mean think about the gym or these public bathrooms.

680
00:33:10,440 --> 00:33:13,200
Speaker 12: They're all tiled, they're all concrete. You don't see any

681
00:33:13,280 --> 00:33:16,200
Speaker 12: wood in there. Those are all not good materials because

682
00:33:16,360 --> 00:33:19,760
Speaker 12: mold needs an organic material to eat, which is wood

683
00:33:19,880 --> 00:33:22,840
Speaker 12: or paper or drywall. It doesn't eat tile, it can't

684
00:33:22,840 --> 00:33:25,040
Speaker 12: eat concrete. So I just did a bathroom where they

685
00:33:25,040 --> 00:33:26,960
Speaker 12: did tile, but they put it right over the dry wall.

686
00:33:27,000 --> 00:33:29,120
Speaker 12: They didn't use the cement board, and they didn't use

687
00:33:29,160 --> 00:33:32,600
Speaker 12: a waterproofer, and after like two years it got extremely

688
00:33:32,600 --> 00:33:35,040
Speaker 12: moldy back behind there. So we want to make sure

689
00:33:35,080 --> 00:33:38,120
Speaker 12: that we're using the waterproofing and tile and try to

690
00:33:38,120 --> 00:33:38,920
Speaker 12: stay away from wood.

691
00:33:39,120 --> 00:33:40,840
Speaker 11: How do you feel about shower curtains.

692
00:33:41,200 --> 00:33:43,520
Speaker 12: They're fine as long as they're holding the water in,

693
00:33:43,880 --> 00:33:46,280
Speaker 12: But if it's around the edge, you know, like with

694
00:33:46,360 --> 00:33:48,040
Speaker 12: my kids, they're always making a mess in there and

695
00:33:48,040 --> 00:33:51,400
Speaker 12: there's always water everywhere, and so in that case, making

696
00:33:51,400 --> 00:33:53,520
Speaker 12: sure you have good tile all the way around the shower.

697
00:33:53,720 --> 00:33:55,760
Speaker 11: If you're severely on a budget. What is the best

698
00:33:55,800 --> 00:33:57,200
Speaker 11: way to deal with mold infestation?

699
00:33:57,800 --> 00:33:59,600
Speaker 12: The main thing, honestly is just trying to keep your

700
00:33:59,600 --> 00:34:01,520
Speaker 12: home dry and clean. If you can keep it dry

701
00:34:01,520 --> 00:34:03,640
Speaker 12: and clean, that's ninety percent of the battle with mold.

702
00:34:03,840 --> 00:34:05,960
Speaker 11: And so if you know you have it, but you're like,

703
00:34:06,240 --> 00:34:08,080
Speaker 11: we do not have the money to fix this, like

704
00:34:08,200 --> 00:34:09,080
Speaker 11: what should people do?

705
00:34:09,400 --> 00:34:11,839
Speaker 12: That's a tough one. If you can move, that's really

706
00:34:11,920 --> 00:34:14,279
Speaker 12: the best thing. If you can. I know that's hard,

707
00:34:14,360 --> 00:34:16,360
Speaker 12: you know, but if you're in a lease and you

708
00:34:16,440 --> 00:34:17,759
Speaker 12: have mold, you should be able to get out of

709
00:34:17,800 --> 00:34:18,920
Speaker 12: your lease with mold.

710
00:34:19,280 --> 00:34:21,600
Speaker 11: And if a landlord is telling somebody, oh, well, like

711
00:34:21,680 --> 00:34:24,319
Speaker 11: we can't do anything about this, I mean, what's the

712
00:34:24,360 --> 00:34:25,320
Speaker 11: recourse there.

713
00:34:25,400 --> 00:34:27,360
Speaker 12: Well, they have to if they have to provide a

714
00:34:27,400 --> 00:34:29,880
Speaker 12: safe living environment for you. So if you do have

715
00:34:30,000 --> 00:34:32,480
Speaker 12: mold at test positive for mold, they have to let

716
00:34:32,560 --> 00:34:34,360
Speaker 12: you out because that's a requirement.

717
00:34:34,440 --> 00:34:36,600
Speaker 11: Best way to determine if there's mold in the.

718
00:34:36,680 --> 00:34:39,560
Speaker 12: Washing machine, honestly, the biggest one is smell. Just stick

719
00:34:39,600 --> 00:34:41,400
Speaker 12: your head in there and smell. Does it smell musty

720
00:34:41,480 --> 00:34:43,840
Speaker 12: or moldy? But if you have a front loader, you

721
00:34:43,880 --> 00:34:46,319
Speaker 12: can pull back that front little rubber piece and look

722
00:34:46,360 --> 00:34:48,759
Speaker 12: inside of there. If you see anything nasty in there,

723
00:34:48,760 --> 00:34:51,560
Speaker 12: you clean that up. But typically the smell is going

724
00:34:51,640 --> 00:34:53,960
Speaker 12: to get you pretty quick. If you're using it regularly,

725
00:34:54,239 --> 00:34:56,280
Speaker 12: it's going to feed that mold. You're gonna smell it.

726
00:34:56,320 --> 00:34:58,640
Speaker 11: Is it possible for there to be a mold infestation

727
00:34:58,719 --> 00:35:01,680
Speaker 11: in a home and only one family member is severely ill.

728
00:35:01,960 --> 00:35:04,120
Speaker 12: Yes, yeah, and a lot of times it can be

729
00:35:04,160 --> 00:35:07,359
Speaker 12: the female in the home. Simply because we were talking earlier.

730
00:35:07,400 --> 00:35:10,560
Speaker 12: The females use much more product on them than males do,

731
00:35:10,880 --> 00:35:14,680
Speaker 12: and so they're getting more exposure that way. And we

732
00:35:14,760 --> 00:35:17,520
Speaker 12: have a toxic bucket. Our body is like a toxic bucket,

733
00:35:17,560 --> 00:35:20,319
Speaker 12: and when we're born, it's it starts pretty low, and

734
00:35:20,360 --> 00:35:22,880
Speaker 12: over time we eat toxic food, or we put toxic

735
00:35:22,920 --> 00:35:25,399
Speaker 12: chemicals on us, or we breathe in air pollution, and

736
00:35:25,440 --> 00:35:28,160
Speaker 12: that bucket starts to fill up. Now, we detox that

737
00:35:28,239 --> 00:35:32,040
Speaker 12: through sweating and exercising, and some people can detox faster

738
00:35:32,120 --> 00:35:35,000
Speaker 12: than others. But if we don't detox faster than we're

739
00:35:35,000 --> 00:35:37,359
Speaker 12: filling the bucket up, it starts to overflow, and that's

740
00:35:37,360 --> 00:35:39,719
Speaker 12: when we start to see symptoms. So there's always going

741
00:35:39,800 --> 00:35:42,040
Speaker 12: to be one person first. Everybody else is kind of

742
00:35:42,080 --> 00:35:45,000
Speaker 12: right behind that person. Eventually the other people are going

743
00:35:45,040 --> 00:35:46,000
Speaker 12: to overflow too, But.

744
00:35:56,760 --> 00:35:59,640
Speaker 9: Immediately, nobody else thought about you, who's just twenty four

745
00:35:59,640 --> 00:36:00,920
Speaker 9: to seven flooding the zone.

746
00:36:00,960 --> 00:36:01,440
Speaker 10: Back to my.

747
00:36:01,440 --> 00:36:04,040
Speaker 3: Thirteen year old owning this space every day.

748
00:36:03,920 --> 00:36:06,360
Speaker 9: Getting the convert and then I'm thinking about We're gonna

749
00:36:06,400 --> 00:36:10,359
Speaker 9: stand back and watch you run circles around us.

750
00:36:10,440 --> 00:36:13,160
Speaker 13: He said it best at Turning Point USA, where relentless

751
00:36:13,239 --> 00:36:17,560
Speaker 13: we're changing minds on campuses every semester, defending conservative values

752
00:36:17,760 --> 00:36:21,160
Speaker 13: and fighting for America's future. Your donation helps keep us

753
00:36:21,200 --> 00:36:24,760
Speaker 13: on campus. Join the movement and donate to TPUSA today.

754
00:36:26,760 --> 00:36:29,040
Speaker 1: Welcome back to Turning Point. Tonight, we're together. We're charting

755
00:36:29,080 --> 00:36:31,160
Speaker 1: the course of America's cultural comeback. Dame so much for

756
00:36:31,239 --> 00:36:33,400
Speaker 1: sticking with us again. You can also go to TPUSA

757
00:36:33,600 --> 00:36:37,439
Speaker 1: dot com to donate. Keep the Conservative Opinion Voice all

758
00:36:37,520 --> 00:36:40,120
Speaker 1: live on college campuses. You can also find out all

759
00:36:40,120 --> 00:36:44,560
Speaker 1: of the information you need regarding everything USA related. You

760
00:36:44,560 --> 00:36:46,440
Speaker 1: can find out the events. You can find out what's

761
00:36:46,440 --> 00:36:48,719
Speaker 1: going on at Turning Point Academy. You can find out

762
00:36:48,719 --> 00:36:51,400
Speaker 1: out what's going on the chapters on campuses. You can

763
00:36:51,440 --> 00:36:53,759
Speaker 1: find out what's going on this show. Everything you need

764
00:36:53,840 --> 00:36:57,120
Speaker 1: to know TPUSA dot com. All the information is there,

765
00:36:57,120 --> 00:36:59,360
Speaker 1: including the information for our big events coming up in

766
00:36:59,400 --> 00:37:01,520
Speaker 1: the next couple mon it's why WOLS, the Young Women's

767
00:37:01,560 --> 00:37:04,879
Speaker 1: Leadership some that's happening in Dallas in June. Don't miss

768
00:37:04,880 --> 00:37:07,880
Speaker 1: it unless you're a man, in which case you have

769
00:37:07,960 --> 00:37:11,000
Speaker 1: to miss it. Just legally speaking, you can't go. If

770
00:37:11,000 --> 00:37:12,480
Speaker 1: you're a man, you can't go to these student Action

771
00:37:12,520 --> 00:37:15,080
Speaker 1: sum at SaaS in Tampa, Florida. That's happening, I believe

772
00:37:15,120 --> 00:37:18,840
Speaker 1: in conjunction with the Turning Point Academy Educator Summit. Bottom

773
00:37:18,840 --> 00:37:20,719
Speaker 1: line is there's so much going on you want to

774
00:37:20,760 --> 00:37:23,040
Speaker 1: go to TPUSA dot com to find out any of that.

775
00:37:23,680 --> 00:37:25,640
Speaker 1: You can also email the show any single anytime you want,

776
00:37:25,680 --> 00:37:29,200
Speaker 1: every single day TPT at TPUSA dot com. It's fascinating

777
00:37:29,200 --> 00:37:30,719
Speaker 1: how many emails we get from you guys. And I

778
00:37:30,760 --> 00:37:33,600
Speaker 1: think I'm wondering we might do like it, answer all

779
00:37:33,640 --> 00:37:36,480
Speaker 1: the emails like either segment on the show or like

780
00:37:36,600 --> 00:37:40,640
Speaker 1: Twitter or x video, because it's just sometimes there's so many.

781
00:37:40,680 --> 00:37:44,040
Speaker 1: Sometimes there's not a not a ton, but maybe we'll

782
00:37:44,080 --> 00:37:45,759
Speaker 1: do that. But regardless, you can send your emails to

783
00:37:45,800 --> 00:37:49,600
Speaker 1: TPT at tpusa dot com and we will read every

784
00:37:50,160 --> 00:37:51,759
Speaker 1: single word.

785
00:37:52,120 --> 00:37:52,359
Speaker 4: You know.

786
00:37:52,880 --> 00:37:57,520
Speaker 1: It's it's TikTok Tuesday is kind of a not really

787
00:37:58,239 --> 00:38:02,200
Speaker 1: formulated cohesive things, but I do think that some some

788
00:38:02,280 --> 00:38:06,040
Speaker 1: tiktoks are just so much fun to watch. First one first,

789
00:38:06,400 --> 00:38:10,160
Speaker 1: Charlie was at Oxford and Cambridge, I believe, last week,

790
00:38:10,440 --> 00:38:12,320
Speaker 1: and some of the videos coming out of that are hilarious.

791
00:38:12,320 --> 00:38:15,560
Speaker 1: And it's also hilarious seeing how people on the Internet

792
00:38:15,880 --> 00:38:20,799
Speaker 1: edit things. Watch this, the caption being imagine if you

793
00:38:20,800 --> 00:38:24,240
Speaker 1: were Charlie traveling what five thousand miles to go debate

794
00:38:24,360 --> 00:38:27,960
Speaker 1: chat GPT, which is effectively what happened when this younger

795
00:38:28,080 --> 00:38:30,880
Speaker 1: lady was reading off her phone all the while, Deny,

796
00:38:30,920 --> 00:38:31,719
Speaker 1: I get and watched.

797
00:38:31,520 --> 00:38:42,800
Speaker 14: This so without reading your phone and just like you know, connecting,

798
00:38:43,120 --> 00:38:50,239
Speaker 14: I'm not really reading.

799
00:39:01,280 --> 00:39:04,399
Speaker 1: That is my favorite version of Internet video. It's called

800
00:39:04,480 --> 00:39:08,480
Speaker 1: hope core, where it's like this inspirational thing that just

801
00:39:08,560 --> 00:39:11,080
Speaker 1: isn't really inspiring. It's just funny. But yeah, I'm not

802
00:39:11,280 --> 00:39:15,200
Speaker 1: I'm not reading my phone, Charlie. I'm just reading the

803
00:39:15,239 --> 00:39:17,120
Speaker 1: words that are on the screen in front of me

804
00:39:17,280 --> 00:39:20,560
Speaker 1: that also happens to be a phone sometimes when I

805
00:39:20,640 --> 00:39:24,240
Speaker 1: choose to use that particular app on this mobile device

806
00:39:24,280 --> 00:39:27,040
Speaker 1: that I have, Uh, you know, let's take that. We've

807
00:39:27,080 --> 00:39:30,120
Speaker 1: got enough time. Let's play a clip three. Because I

808
00:39:30,640 --> 00:39:34,480
Speaker 1: this is so many thoughts. I just I hope the

809
00:39:34,560 --> 00:39:37,880
Speaker 1: young are being educated and propagated in the right way.

810
00:39:38,080 --> 00:39:39,719
Speaker 1: These kids are not watched this.

811
00:39:43,880 --> 00:39:47,120
Speaker 10: Have a whole black church allows stuts?

812
00:39:48,080 --> 00:39:49,200
Speaker 8: Why would you wear that? Church?

813
00:39:52,760 --> 00:39:56,280
Speaker 2: Are you trying to be? What is church supposed to represent?

814
00:39:57,880 --> 00:40:04,080
Speaker 2: I think it's very psycho like. What's the point? There's

815
00:40:04,200 --> 00:40:06,600
Speaker 2: no point? What's well as God?

816
00:40:06,680 --> 00:40:08,000
Speaker 10: Or can you use it to eat people?

817
00:40:09,920 --> 00:40:11,920
Speaker 1: Yeah? Uh, you feel bad in a lot of cases

818
00:40:11,960 --> 00:40:14,720
Speaker 1: for kids that are being raised by a mother that's

819
00:40:14,960 --> 00:40:18,200
Speaker 1: kind of diluted in her thinking. I would I mean,

820
00:40:18,320 --> 00:40:20,799
Speaker 1: aside from the litany of other things that I'd like

821
00:40:20,840 --> 00:40:22,920
Speaker 1: to point out that are drastically wrong with that, but

822
00:40:23,000 --> 00:40:25,120
Speaker 1: probably the one thing that says, hey, maybe you should

823
00:40:25,120 --> 00:40:27,520
Speaker 1: teach your kids that the only reason they can attend

824
00:40:27,600 --> 00:40:30,560
Speaker 1: church is because of good guys with guns. But again,

825
00:40:31,000 --> 00:40:33,200
Speaker 1: lots to be said there. That's gonna do it for

826
00:40:33,280 --> 00:40:35,040
Speaker 1: us here at turning points tonight. We'll see it tomorrow,

827
00:40:35,200 --> 00:40:38,080
Speaker 1: same time, same place. Charlie is gonna take us out

828
00:40:38,239 --> 00:40:40,919
Speaker 1: until then, well actually not until then. For all time.

829
00:40:41,040 --> 00:40:53,000
Speaker 15: God bless America.

830
00:40:53,320 --> 00:40:56,360
Speaker 13: I hope you guys had a wonderful Memorial Day weekend.

831
00:40:56,600 --> 00:40:58,239
Speaker 13: We have a big week in store. I will be

832
00:40:58,280 --> 00:41:01,080
Speaker 13: heading to the Imperial Capital later today. We'll be doing

833
00:41:01,160 --> 00:41:06,640
Speaker 13: our broadcast live from Washington, DC partially this week. Major

834
00:41:06,680 --> 00:41:10,560
Speaker 13: news this weekend. The Democrat Party is telling us their plans.

835
00:41:11,040 --> 00:41:13,600
Speaker 13: You see, the Democrat Party knows that they are losing,

836
00:41:13,719 --> 00:41:16,919
Speaker 13: specifically losing young men. We know that in the twenty

837
00:41:16,960 --> 00:41:19,520
Speaker 13: twenty four exit polls, they showed that Trump won fifty

838
00:41:19,560 --> 00:41:22,680
Speaker 13: four percent of men ages eighteen to twenty nine, a

839
00:41:22,800 --> 00:41:26,080
Speaker 13: twenty nine point shift from twenty twenty to fifteen point

840
00:41:26,120 --> 00:41:29,000
Speaker 13: Biden lead. Let's go two twenty three up on screen,

841
00:41:29,280 --> 00:41:33,360
Speaker 13: just the presidential margins among men by race and ethnicity.

842
00:41:34,560 --> 00:41:40,040
Speaker 13: Men are moving to the right dramatically. Dramatically you go

843
00:41:40,080 --> 00:41:42,879
Speaker 13: of data shows that even in the United Kingdom, where

844
00:41:42,920 --> 00:41:46,279
Speaker 13: I just was visiting last week, thirty two percent of

845
00:41:46,400 --> 00:41:49,520
Speaker 13: UK men ages eighteen to twenty four voted Reform UK

846
00:41:50,239 --> 00:41:55,360
Speaker 13: compared to sixteen percent of women, doubling right wing support. Globally,

847
00:41:55,640 --> 00:41:58,560
Speaker 13: we are seeing that young men are scoring at a

848
00:41:58,600 --> 00:42:03,400
Speaker 13: conservatism scale, up nearly thirty percent versus twenty fourteen. So

849
00:42:03,440 --> 00:42:06,880
Speaker 13: what is going on here when We've covered this extensively.

850
00:42:07,960 --> 00:42:11,840
Speaker 13: Where everything masculine is labeled toxic, young men are starting

851
00:42:11,880 --> 00:42:14,000
Speaker 13: to search for a place where manhood is still honored,

852
00:42:14,480 --> 00:42:20,719
Speaker 13: not pathologized, in a world that preaches weakness as virtue.

853
00:42:21,320 --> 00:42:25,279
Speaker 13: We are offering challenge, order and responsibility, and the men

854
00:42:25,400 --> 00:42:30,320
Speaker 13: of the West are listening. The New York Times published

855
00:42:30,360 --> 00:42:32,920
Speaker 13: a separate piece of data that is equally as interesting,

856
00:42:33,160 --> 00:42:36,320
Speaker 13: where the Democrats know that their problem runs deep and everywhere.

857
00:42:36,360 --> 00:42:39,840
Speaker 13: Show this up on screen, where almost the entire country

858
00:42:39,880 --> 00:42:43,320
Speaker 13: is moving to the right, except the suburbs of Atlanta

859
00:42:43,400 --> 00:42:47,120
Speaker 13: and the suburbs of Denver and parts of Virginia. Almost

860
00:42:47,200 --> 00:42:52,560
Speaker 13: everywhere is moving dramatically to the right. The country is

861
00:42:52,600 --> 00:42:56,400
Speaker 13: experiencing the course correction or the right wing revolution. As

862
00:42:56,440 --> 00:42:58,680
Speaker 13: I talked about in my book that I published last summer.

863
00:42:58,880 --> 00:43:01,840
Speaker 13: That is exactly what we want to see happen. It

864
00:43:01,920 --> 00:43:05,719
Speaker 13: is a seismic shift, largely led by the men of

865
00:43:05,760 --> 00:43:09,040
Speaker 13: the West that are rejecting the current composition of the

866
00:43:09,080 --> 00:43:12,160
Speaker 13: Democrat Party, and the Democrats know it. This has cut

867
00:43:12,200 --> 00:43:14,600
Speaker 13: to eighteen MSNBC reports that the New York Times are

868
00:43:14,640 --> 00:43:18,960
Speaker 13: saying Democrats want to spend twenty million dollars to figure

869
00:43:18,960 --> 00:43:21,640
Speaker 13: out how to speak to young men. Is there a

870
00:43:21,719 --> 00:43:25,040
Speaker 13: USAID grant for that? There is USAID grant to make

871
00:43:25,080 --> 00:43:29,160
Speaker 13: a Sesame street for Iraqis a USAID grant for every

872
00:43:29,200 --> 00:43:33,040
Speaker 13: wild thing? Could they get a USAID grant to learn

873
00:43:33,080 --> 00:43:37,600
Speaker 13: how to speak to the civilization that we've never touched before.

874
00:43:37,680 --> 00:43:39,080
Speaker 13: You know, I feel as if this is a national

875
00:43:39,120 --> 00:43:45,120
Speaker 13: geographic documentary and now we venture into the wild to

876
00:43:45,200 --> 00:43:49,719
Speaker 13: learn to talk to a group of people largely forgotten. No,

877
00:43:49,960 --> 00:43:53,920
Speaker 13: they're not the Aborigines of Australia. They're not the island

878
00:43:53,960 --> 00:43:57,640
Speaker 13: people of Sri Lanka. They're not the incns or the

879
00:43:57,640 --> 00:44:03,640
Speaker 13: former Mayans. Are men half of the population of the

880
00:44:03,640 --> 00:44:06,120
Speaker 13: country we desire to govern.

881
00:44:07,040 --> 00:44:08,040
Speaker 10: Play cut to eighteen.

882
00:44:08,960 --> 00:44:11,439
Speaker 16: With the mid terms fast approaching and the full six

883
00:44:11,480 --> 00:44:15,600
Speaker 16: months after November's electoral drubbing, the Democratic Party appears to

884
00:44:15,640 --> 00:44:18,720
Speaker 16: still be in fact finding mode. The New York Times

885
00:44:18,719 --> 00:44:21,839
Speaker 16: reports that party donors and strategists have been gathering at

886
00:44:21,960 --> 00:44:26,440
Speaker 16: luxury hotels to discuss how to win back working class voters,

887
00:44:26,920 --> 00:44:29,680
Speaker 16: and they are spending twenty million dollars on an effort

888
00:44:29,719 --> 00:44:30,880
Speaker 16: to try to figure out how.

889
00:44:30,719 --> 00:44:31,879
Speaker 2: To speak to young men.

890
00:44:32,080 --> 00:44:36,080
Speaker 16: Quote it is code named to SAM, short for Speaking

891
00:44:36,120 --> 00:44:40,360
Speaker 16: with American Men, a strategic plan and promises investment to

892
00:44:40,480 --> 00:44:44,000
Speaker 16: study the syntax, language and content that gains attention and

893
00:44:44,120 --> 00:44:47,560
Speaker 16: virality in these spaces with the mid terms.

894
00:44:48,120 --> 00:44:53,360
Speaker 13: The syntax, language, and content. So they hire a linguist

895
00:44:54,320 --> 00:44:58,319
Speaker 13: as if they're trying to decode ancient Sumerian. How did

896
00:44:58,360 --> 00:45:00,839
Speaker 13: we go so wrong talking to the these people you

897
00:45:00,960 --> 00:45:06,600
Speaker 13: are the problem. Everything you believe is the problem. Instead

898
00:45:06,600 --> 00:45:09,319
Speaker 13: of meeting at luxury hotels, if you want to see

899
00:45:09,320 --> 00:45:11,680
Speaker 13: how men actually think, maybe you should have went to

900
00:45:11,719 --> 00:45:14,480
Speaker 13: the Indy five hundred this last weekend on Memorial Day,

901
00:45:14,640 --> 00:45:17,680
Speaker 13: or maybe go on a hunting trip, maybe show up

902
00:45:17,680 --> 00:45:19,600
Speaker 13: at a football game, to show up to a tailgate

903
00:45:19,840 --> 00:45:22,920
Speaker 13: and ask the men of the West, why are you

904
00:45:23,040 --> 00:45:27,920
Speaker 13: voting Republican? And they will tell you something that is

905
00:45:27,960 --> 00:45:29,719
Speaker 13: not going to show up in their data. You see,

906
00:45:29,760 --> 00:45:32,960
Speaker 13: it's a vibe. And honestly, I got to give our podcast,

907
00:45:33,040 --> 00:45:35,440
Speaker 13: our campus content some credit.

908
00:45:35,520 --> 00:45:35,879
Speaker 1: Not all.

909
00:45:36,239 --> 00:45:39,319
Speaker 13: The vibe is that if you embrace the Democrats, that

910
00:45:39,440 --> 00:45:46,560
Speaker 13: is like the weakest femeboy load testosterone thing imaginable. It's

911
00:45:46,600 --> 00:45:50,319
Speaker 13: not even that they love Republicans or love Conservatism. It's

912
00:45:50,360 --> 00:45:53,319
Speaker 13: just that it's such a sad shell and husk of

913
00:45:53,320 --> 00:45:56,120
Speaker 13: your former self. If you are going to become a

914
00:45:56,320 --> 00:46:00,440
Speaker 13: man voting on the Democrat side, you're going to be

915
00:46:00,480 --> 00:46:07,359
Speaker 13: constantly policing people's speech through the pronoun directives. You're gonna

916
00:46:07,360 --> 00:46:11,239
Speaker 13: be caring about race, hostilities and the mobilizing of resentments.

917
00:46:12,120 --> 00:46:15,799
Speaker 13: While the left offers therapy and safe spaces, we on

918
00:46:15,840 --> 00:46:20,960
Speaker 13: the right we offer discipline, identity, and meaning. And men

919
00:46:21,040 --> 00:46:30,320
Speaker 13: are craving meaning, men are suffering under Victor Frankels existential despair.

920
00:46:31,360 --> 00:46:35,400
Speaker 13: But the Democrat stratus and donors meeting at this luxury

921
00:46:35,400 --> 00:46:40,239
Speaker 13: hotel are seeking a prognosis. As they're meeting at the

922
00:46:40,280 --> 00:46:45,120
Speaker 13: swanky hotels, they say they're going to buy advertisements and

923
00:46:45,239 --> 00:46:46,759
Speaker 13: video games, among other things.

924
00:46:46,760 --> 00:46:47,439
Speaker 1: That's it, We're done.

925
00:46:47,960 --> 00:46:50,680
Speaker 13: If no one's ever thought to buy advertisements and video

926
00:46:50,680 --> 00:46:54,960
Speaker 13: games before, it's just never happened before. Above all, we

927
00:46:55,080 --> 00:46:59,240
Speaker 13: must shift from a moralizing tone. Oh, maybe you're starting

928
00:46:59,239 --> 00:47:03,520
Speaker 13: to get they're a little bit of self awareness. MSNBC

929
00:47:03,920 --> 00:47:05,960
Speaker 13: is fighting over whether this is a good idea play

930
00:47:05,960 --> 00:47:06,760
Speaker 13: cut two o seven.

931
00:47:07,880 --> 00:47:09,880
Speaker 17: It's great that we're being a little bit more introspective.

932
00:47:09,920 --> 00:47:11,880
Speaker 17: That's always helpful. But I think that the Democrats have

933
00:47:11,960 --> 00:47:14,520
Speaker 17: forgot that maybe we should just talk to people like people.

934
00:47:14,560 --> 00:47:16,120
Speaker 17: We don't need to do studies on it, we don't

935
00:47:16,120 --> 00:47:18,080
Speaker 17: need to meet at hotels. How about we just go

936
00:47:18,120 --> 00:47:20,359
Speaker 17: to community meetings and meet people where they are on

937
00:47:20,400 --> 00:47:22,520
Speaker 17: social media and there are different forms and platforms that

938
00:47:22,560 --> 00:47:24,760
Speaker 17: they are. But I think that we just the Democrats

939
00:47:24,760 --> 00:47:26,799
Speaker 17: have forgot how to talk to normal people about things

940
00:47:26,840 --> 00:47:29,759
Speaker 17: that are really important to them, like the economy. So

941
00:47:30,000 --> 00:47:32,840
Speaker 17: it's a I think, a really good lesson to learn,

942
00:47:32,880 --> 00:47:34,319
Speaker 17: but I also think we just need to get back

943
00:47:34,320 --> 00:47:34,760
Speaker 17: to basics.

944
00:47:36,239 --> 00:47:39,960
Speaker 13: You see Comedy Central, they dispatched one of their court jesters,

945
00:47:40,200 --> 00:47:42,200
Speaker 13: one of the clowns that they have on payroll there,

946
00:47:42,360 --> 00:47:46,200
Speaker 13: a guy by the name of Jordan Clapper, to go

947
00:47:46,480 --> 00:47:48,400
Speaker 13: talk to young men and say, why do you like

948
00:47:48,520 --> 00:47:53,200
Speaker 13: Charlie Kirk. Why tell me why? And I'm going to

949
00:47:53,200 --> 00:47:58,200
Speaker 13: make fun of him in my very funny way. You see,

950
00:47:58,239 --> 00:48:01,400
Speaker 13: he's so funny I forgot to laugh. Th