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Speaker 1: Turns out and illegal was voting and stole about four

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Speaker 1: hundred thousand dollars from the American taxpayer who could have

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Speaker 1: seen that coming. Also, volatility, the stock market is all

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Speaker 1: over the place again, and I wonder if these people

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Speaker 1: will ever learn to just hold on, It'll all be fine.

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

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Speaker 1: Point Tonight. My name is Jobob. Thanks so much for

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Speaker 1: tuning in. Together, we are charting the course of America's

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Speaker 1: cultural comeback. This is Turning Point Tonight. Now, before we

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Speaker 1: get to any of those stories and our fantastic panel,

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Speaker 1: we have to talk about what I think is the

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Speaker 1: epitome of why US conservatives are against DEI right, nobody

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Speaker 1: cares what race you are, what gender you are, anything

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Speaker 1: about that. If you can meet the standards of the

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Speaker 1: job required of you. That doesn't appear to be the

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Speaker 1: case though. Unfortunately in the police academy at the NYPD,

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Speaker 1: the New York Police Police Department is recently found itself

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Speaker 1: inside of a scandal. Terrell Anderson, who led the NYPD's

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Speaker 1: Cadet Assessment Division, was recently transferred out of that position

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Speaker 1: into housing, which is a whole other thing. Why don't

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Speaker 1: they just fire people. I don't understand why if you

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Speaker 1: work a government job, you just get transferred to another department.

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Speaker 1: But that's a different complaint for a different time. Well,

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Speaker 1: turns out this guy let seventy candidates stay in the

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Speaker 1: police academy despite them failing psych requirements, according to the

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Speaker 1: New York Post. And it gets even weirder and crazier

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Speaker 1: than that. Now, obviously the NYPD has a big deficit

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Speaker 1: that they're trying to fill. That's no excuse for lowering

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Speaker 1: the standards and keeping seventy people on the force in

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Speaker 1: the police academy that shouldn't be there. Or it gets

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Speaker 1: even weirder. Is this a couple? I'm laughing already because

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Speaker 1: trying to pronounce this name. A woman who was the

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Speaker 1: highest paid cop on the force when she retired amid

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Speaker 1: a sex scandal, making about four hundred thousand dollars a year.

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Speaker 1: Quathasia Epps was also involved in this. Our panelists already laughing,

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Speaker 1: was also involved in this pseudo scandal, or this possible

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Speaker 1: potential scandal. Apparently, according to the guy who was removed

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Speaker 1: from his office of a cadet assessment, got a call

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Speaker 1: from her. Suppose, according to him, He got a call

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Speaker 1: from Quathasia Epps, who again formerly highest paid cop in

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Speaker 1: New York City, saying, hey, you can't kick my nephew

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Speaker 1: out of the police academy. Now, her nephew, named Emilio Anido,

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Speaker 1: remains in the academy despite getting suspended last month for

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Speaker 1: allegedly slapping another recruit. In other words, this whole systematic

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Speaker 1: thing of lowering the standards and in some sort of

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Speaker 1: nepotism type of way, saying you can't kick my kid

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Speaker 1: out because or my nephew out because while they're my nephew,

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Speaker 1: and I'm also involved in some sort of a scandal,

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Speaker 1: and he's gonna stay in the academy despite slapping people.

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Speaker 1: This whole thing is crazy. Put up, The bottom line

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Speaker 1: is this, This is what we're talking about. No one

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Speaker 1: cares what you are, what you'll like, what you don't like,

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Speaker 1: what you look like, what gender, It doesn't matter. Can

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Speaker 1: you do the job. And right now the NYPD looking

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Speaker 1: at hiring these new recruits, keeping seventy people who failed

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Speaker 1: psych exams on board, well, that is exactly what we're

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Speaker 1: talking about. What we don't like standards slipping here to

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Speaker 1: comments on that and so much more is political commentator

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Speaker 1: Aaron Wexler and host of The Steven Gardner Show. It

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Speaker 1: is him Steven Gardner. Guys, thank you so much for

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Speaker 1: joining us. Really appreciate you taking the time.

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Speaker 2: Absolutely good to be here. Sorry for laughing in through

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Speaker 2: your ear as you were.

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Speaker 1: Trying to get Aaron, I was gonna say, I, you know,

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Speaker 1: I thought I was gonna pronounce it correctly. And I

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Speaker 1: get to do this as a guy with a weird name,

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Speaker 1: admittedly Joe Bob. I get to laugh at quick. Quasia

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Speaker 1: Quasia epps Aaron. Though this seems to be the biggest thing,

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Speaker 1: right we all talk about DEI and a lot of

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Speaker 1: libs are like, whoa, you don't like diversity, equity, inclusion, No,

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Speaker 1: not when it's forced on people. And considering the fact

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Speaker 1: that a lot of these people are able to stay

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Speaker 1: in the police force and NYPD despite not meeting the standards, Well,

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Speaker 1: this is exactly what we're talking about, is it not.

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Speaker 2: It's exactly that.

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Speaker 3: And this is corruption at its finest right, this is nepotism.

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Speaker 2: At its finest.

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Speaker 3: This is also just trash reality TV behavior at its

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Speaker 3: peak form, Like that's.

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Speaker 2: What we're seeing right now. Also, do you just want

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Speaker 2: to give you a shout out.

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Speaker 3: I really was laughing in his ear as he was

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Speaker 3: trying to get to the segment. And I think your

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Speaker 3: audience should know the professionalism that you maintained, as I

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Speaker 3: could not get through hearing the description because it almost

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Speaker 3: seems like reality is.

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Speaker 2: Stranger than fiction at this point with this kind of

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Speaker 2: a story.

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Speaker 1: Seriously, because I was reading it through and going to like,

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Speaker 1: there's another twist, another turn. This guy says he kept

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Speaker 1: these people, but he was forced to keep these people

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Speaker 1: by this other lady who was also embroiled in her

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Speaker 1: own sex scandal and retired as the highest cop on

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Speaker 1: the forest. What in the world, Stephen is going on

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Speaker 1: at these insitutions? Do you think this might be the story?

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Speaker 1: It might be the catalyst that gets the libs to understand, Oh,

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Speaker 1: that's why they don't like the whole DEI forced inclusion thing.

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Speaker 4: No. I mean, I think it's just going to lead

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Speaker 4: to more recruits, people saying, wait a minute, I can

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Speaker 4: be a cop and make four hundred thousand dollars and

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Speaker 4: I don't have to be in my right mind. I mean,

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Speaker 4: this lady had had two jobs, right, you get to

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Speaker 4: make four hundred grand. All you have to do is

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Speaker 4: take criminals off the street and not get involved in

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Speaker 4: a sex scandal. And she couldn't do either of them.

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Speaker 4: Now she's saying, wait a minute, my nephew, who is

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Speaker 4: not mentally capable of being a police officer, we should

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Speaker 4: probably put him on the streets of the most dangerous

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Speaker 4: city in America, where they have people literally wanting to

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Speaker 4: kill Jews. They're pro the pro Hamas. I mean, I've

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Speaker 4: never seen more rallies for ridiculousness than in New York City.

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Speaker 4: And now they want to put people on the streets

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Speaker 4: that are mentally incapable of handling the job.

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Speaker 1: Yeah, rallies for ridiculousness. I wonder if that's going to

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Speaker 1: be the new slogan of New York City. But yeah,

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Speaker 1: I again, the whole thing is just Aaron's right. It

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Speaker 1: sounds like you're watching reality TV, and not good reality

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Speaker 1: TV too, by the way, because there are actually people's

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Speaker 1: lives at stake. But speaking of four hundred thousand dollars

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Speaker 1: being a pretty high paycheck, there's an illegal immigrant to

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Speaker 1: get guys hold onto your seats. This is going to

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Speaker 1: be shocking. But a new stories coped come up that

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Speaker 1: there's an illegal immigrant Columbian woman living illegally in the

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Speaker 1: United States, living under stolen identity for two decades, improperly

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Speaker 1: received four hundred thousand dollars of taxpayer money in various

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Speaker 1: assistants Aaron. She also voted in the twenty twenty four

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Speaker 1: presidential election. I'm told this is not happening. So this

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Speaker 1: is clearly the first case of this we've ever scene,

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Speaker 1: and more there's no way that more will continue to

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Speaker 1: come out as the Trump administration digs as heels in.

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Speaker 1: But you know, how shocked are you?

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Speaker 3: Oh?

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Speaker 2: I'm shocked. I'm in disbelieve if I can't imagine how

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Speaker 2: this is.

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Speaker 4: No.

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Speaker 2: I think there are a few things here.

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Speaker 3: First, I was trying to figure out what city she

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Speaker 3: voted in, right, that would be very interesting. What state

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Speaker 3: this is happening? And we know, we know this is

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Speaker 3: happening across the country. We're told first that it's not happening.

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Speaker 3: Then now that the story's coming out, and I'm to

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Speaker 3: your point, I'm certain that hundreds or thousands more stories

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Speaker 3: will and more examples like this are going to come out,

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Speaker 3: and and we will be and we will transition into

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Speaker 3: the It's not happening too.

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Speaker 2: It's a good thing that is happening. That's what the

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Speaker 2: left likes to do. Once we actually discover this.

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Speaker 3: I would say, though, the most shocking part of the

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Speaker 3: article when I was looking at this.

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Speaker 2: Was that she also had a real ID. Do you

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Speaker 2: know how hard it is to get her for a.

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Speaker 3: Citizen of the United States to get a real ID?

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Speaker 5: Right now?

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Speaker 3: I know there is a trend on social media about

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Speaker 3: how difficult it is. I want to know how she

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Speaker 3: got a real ID when actual citizens cannot.

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Speaker 1: Yeah, that's a good point. The real I did know.

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Speaker 1: That's the that's the legit one. You can't you can't

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Speaker 1: screw around with that one. And again we got to

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Speaker 1: stop terrorism because that was put in place twenty five

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Speaker 1: years ago. But uh yeah, Stephen Gardner, Uh, you know

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Speaker 1: what I think is interesting here is is the extent

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Speaker 1: to which this lady was stealing from the public and

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Speaker 1: doing all this sort of stuff. My concern, and I'm

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Speaker 1: wondering if you share similar concern, is the people that

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Speaker 1: aren't so out and proud and stealing almost half a

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Speaker 1: million dollars from the men Aeric contax payer kind of

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Speaker 1: still sliding under the radar. There and voting in elections

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Speaker 1: and getting you know, benefits that they shouldn't otherwise have.

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Speaker 1: You know, how many of these people do you think

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Speaker 1: we're out there?

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Speaker 4: Uh, there's gotta be hundreds of thousands of people. I

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Speaker 4: mean I thought this was Letitia James at first, that

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Speaker 4: you know that, yeah, we got to make sure we

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Speaker 4: have the right photo of people. But you know, I do.

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Speaker 4: I want to be very cautious because you know, it's

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Speaker 4: racist to talk about IDs and elections in the same sentence.

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Speaker 4: You know, American citizens that can go to concerts and

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Speaker 4: open bank accounts to ask them to get an ID

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Speaker 4: to vote, that would be really hard. But here's an

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Speaker 4: illegal immigrant milking the American taxpayer for four hundred thousand

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Speaker 4: dollars and she manages to get an ID. Tells me

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Speaker 4: maybe it's not that hard to get an ID after all.

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Speaker 4: But you know, I used to do financial planning before

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Speaker 4: becoming big on YouTube, and the average American earns around

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Speaker 4: two million dollars in their lifetime and has nowhere near

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Speaker 4: four hundred thousand dollars. So the fact that she was

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Speaker 4: able to steal four hundred thousand dollars from the American people,

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Speaker 4: this lady is an exceptional con artist. We've also got

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Speaker 4: to get her out of the country. This is just ridiculous.

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Speaker 1: My guess is the Democrats would be fleeing to that

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Speaker 1: country to go visit this brave citizen who may possibly

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Speaker 1: be Letitia James because she was a defrauding the Section

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Speaker 1: eight housing system. Tis James is accused of defrauding the

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Speaker 1: loan system the houses. Who knows we actually maybe you know,

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Speaker 1: maybe maybe that's the case for the break eron this. Uh.

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Speaker 1: The markets took a took a turn today again, at

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Speaker 1: least The New York Times, the Wall Street Journal, former

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Speaker 1: newspapers are saying because that Trump said, hey, we might

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Speaker 1: add some other tariffs. Why why are people so like

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Speaker 1: enthusiastic about immediately jumping in and trade. Why is it

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Speaker 1: so volatile when this okay, this happened like a couple

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Speaker 1: months ago, a couple of weeks ago, and everything is fine.

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Speaker 1: What what's with the immediate panic.

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Speaker 3: I don't know if you actually know this about me,

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Speaker 3: but I started my career as a trader on the

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Speaker 3: trading floor at Goldman Sachs, so I have a lot

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Speaker 3: of opinions on this one thing. I do want to

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Speaker 3: start by saying, is that I do not want a

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Speaker 3: president making policy decisions off of day trading, which is

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Speaker 3: exactly what we have with President Trump. He is making

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Speaker 3: the right policy decisions that the American people need. We

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Speaker 3: are also nowhere close to actually going into you know,

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Speaker 3: so I even hesitate to say the words like austerity measures.

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Speaker 2: We're not there.

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Speaker 3: But we needed to grow up as a country. We

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Speaker 3: need to stop the partying and the spending. We had

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Speaker 3: fed endlessly printing money, we were getting things, were in

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Speaker 3: a very bad economic situation. The stock market had to

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Speaker 3: adjust for the fact that it was artificially inflated for

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Speaker 3: many years, that we had fake jobs numbers coming out.

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Speaker 3: I could go on with the examples of why the

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Speaker 3: stock market needs a correction.

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Speaker 2: And I love that we have a president who's not.

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Speaker 3: Worried about re election, but is worried about setting us

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Speaker 3: back on the right track. So, yeah, we could take

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Speaker 3: a hit for a day or a week, or a

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Speaker 3: month or whatever it is that is a necessary, growing

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Speaker 3: pain for us to get back on track.

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Speaker 1: Yeah, especially because the last administration we were spending like

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Speaker 1: we were Hunter Biden on a coke binge in Vegas. Stephen, Yeah,

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Speaker 1: you know, but Okay, that's what I'm trying to get.

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Speaker 1: Why is it that that traders are reacting so harshly,

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Speaker 1: so quickly, when it's not like, oh, ten years ago

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Speaker 1: we had this kind of terriff thing and now it

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Speaker 1: was like a month ago, like everything is fine, And

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Speaker 1: I don't know what's what the quick knee jerk reactions

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Speaker 1: to Trump's saying, hey, we might actually try to better

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Speaker 1: American people's lives going forward.

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Speaker 5: Here.

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Speaker 4: It may actually be the big hedge funds. They actually

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Speaker 4: they'll see something, they'll make a panic of it. They'll

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Speaker 4: artificially drop the market. Then the retail investor like you

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Speaker 4: and I, we panic, We go, oh my gosh, my

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Speaker 4: four oh one k what's this president doing? And immediately

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Speaker 4: we blame the president of the United States. And then

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Speaker 4: they rush back in and they buy Apple and Google

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Speaker 4: and Walmart at cheaper prices. So I'm actually glad you

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Speaker 4: brought this up. I was busy filming all day. I

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Speaker 4: need to go in and buy more of the stock market,

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Speaker 4: because when the market goes down, as soon as it

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Speaker 4: goes back up, everybody goes, oh gosh, I should have

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Speaker 4: bought while it was down, But while it's down. People

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Speaker 4: really do. They feel this emotional reaction to money. But

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Speaker 4: the markets are always fickle this way, they bounce up

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Speaker 4: and down on any piece of news. Everything's going to

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Speaker 4: get ironed out, just like it did. Remember on Liberation

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Speaker 4: Day April second, took a nose down and then it

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Speaker 4: went higher higher than that. I mean, I'm up twenty

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Speaker 4: percent on my Tesla stock. Thank you, Elon Musk.

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Speaker 1: Yeah, it seems like. Yeah, it's all it is, is

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Speaker 1: just going on discounts, except for hey, don't trade on

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Speaker 1: President Trump saying hey, it's a good time to buy,

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Speaker 1: because that might be insider trading that he's sharing with

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Speaker 1: the entire planet.

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Speaker 4: Aaron, Hey, I don't want to cut you off, but

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Speaker 4: I don't listen to Trump when it comes to the

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Speaker 4: stock market. I listened to Nancy Pelosi.

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Speaker 1: Oh yeah, her husband does pretty well in the markets there.

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Speaker 1: Aaron and Stephen will be back after the break to

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Speaker 1: discuss well. The Supreme Court said, yeah, Trump can fire

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Speaker 1: the libs that were put on a board by the

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Speaker 1: previous administration. That's a thing that the president gets to do.

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Speaker 1: We'll give you details about that right after the break.

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Speaker 1: Don't go, I will be right back welcome back to

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Speaker 1: Turning Point tonight. We're together. We were charting the course

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Speaker 1: of America's cultural comeback. Let's chick in with Turning Points.

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Speaker 1: White House Correspondent Monica Page at the White House. Good

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Speaker 1: to see you. You know, I have a big we're

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Speaker 1: talking about nuclear energy. Well, I'll let you fill us

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Speaker 1: in on what's going on, and then I just I

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Speaker 1: have some thoughts as to why it took us so

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Speaker 1: long to get on this train.

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Speaker 6: Yeah, that's exactly right. I mean Trump went nuclear in

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Speaker 6: the Oval Office and if that Secretary Pete Hegseth was

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Speaker 6: there with him along with Doug Bergham, just reiterating that

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Speaker 6: energy security is national security. The President signed about four

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Speaker 6: executive orders in the Oval Office just this afternoon, jump

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Speaker 6: starting nuclear production, easing regulatory process on approvals for these

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Speaker 6: new reactors, strengthening the supply chain as it pertains to

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Speaker 6: nuclear energy, and even exploring new nuclear sites, and while

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Speaker 6: also at the same time implementing AI into these new

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Speaker 6: sites as well. And this will essentially now speed up

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Speaker 6: construction of these new sites as well, securing these key

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Speaker 6: materials to make sure that they can build new sites.

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Speaker 6: And we heard from Will Sharp who's kind of like

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Speaker 6: President Trump's right hand man when he hands over the

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Speaker 6: executive orders for the President to sign, and he kind

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Speaker 6: of threw in this fun fact here which I didn't know,

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Speaker 6: but before nineteen seventy eight, there were about one hundred

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Speaker 6: and thirty three nuclear reactors that were built in the

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Speaker 6: United States and only two have come online since then.

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Speaker 6: So this whole deregulating process is going to be critical

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Speaker 6: to nuclear growth and independence. And then the other executive

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Speaker 6: order the President signed, which I thought was interesting, is

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Speaker 6: restoring the Gold Standard of Science, which wanting to wanting

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Speaker 6: science and the gold Standard of science to really continue

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Speaker 6: to be the cornerstone of these federal scientific research processes

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Speaker 6: and restore this policy making and in science, making it

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Speaker 6: more transparent to the American people, eliminating any sorts of

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Speaker 6: conflicts of interest as it pertains to scientific research, and

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Speaker 6: making sure it's available to the public. So all good

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Speaker 6: things coming out of the oval off this afternoon.

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Speaker 1: Yeah, I was going to say, on the nuclear side,

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Speaker 1: it is fascinating. I think everybody agrees clean clear energy

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Speaker 1: would be great, but for some reason in the seventies

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Speaker 1: after Chernobyl and again know that that's like a big,

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Speaker 1: big faux pas in the nuclear world. A bunch of

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Speaker 1: hippies got together, wrote a bunch of songs and scared

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Speaker 1: everybody out of doing the clean energy nuclear thing. So

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Speaker 1: glad President Trump has finally taking that on. Speaking of

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Speaker 1: energy gas prices, you know, I've been told just everything

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Speaker 1: just is going up like crazy. But is there some

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Speaker 1: news on the gas prices front on the national average, Well.

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Speaker 6: No big deal, Joe, Bob. But they're the lowest prices

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Speaker 6: as they since they were four years ago. So we're

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Speaker 6: on an average of three dollars and seventeen cents. Some

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Speaker 6: places in the Midwest are seeing three dollars in re

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Speaker 6: sets for a gallon of gas, so they're low for

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Speaker 6: just in time for this Memorial Day weekend. So that's

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Speaker 6: all good news around as well. And I believe these

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Speaker 6: tariffs and trade policies are basically to credit for the

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Speaker 6: fact that we're seeing these low gas prices, So lowest

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Speaker 6: prices since the last four years. That's pretty good.

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Speaker 1: Yeah, Monica, I would if I were to task you

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Speaker 1: with something, I would like for you to figure out

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Speaker 1: the next thing the Libs are going to complain about,

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Speaker 1: because unfortunately they're running out of things because all the

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Speaker 1: things they complain about turned out to be actually better.

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Speaker 1: I want to get paid thirty points. White House Courts

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Speaker 1: bought it. Thanks so much for joining us. Really appreciate

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Speaker 1: taking the time.

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Speaker 6: Thanks Jo, Bob, have a great weekend.

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Speaker 1: Thank you you too. The Supreme Court allowed President Trump

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Speaker 1: the other day to fire people he should be able

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Speaker 1: to fire. If you're not hip to this story, there

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Speaker 1: were people that President Biden put on these boards. They

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Speaker 1: were appointed by the Democrat President of the United States, and

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Speaker 1: when Trump came in, he said, uh, never mind, we

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Speaker 1: don't want these people on these boards. So he fired them,

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Speaker 1: and there was a lawsuit. The Supreme Court finally said, yeah,

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Speaker 1: you can fire the people that you'd like to fire

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Speaker 1: as the chief executive of the executive branch. Let's bring

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Speaker 1: our panel back. Aaron Wexler and Stephen Gardner here to

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Speaker 1: comment on this. Aaron, you know, the Supreme Court, I

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Speaker 1: understand that it's kind of sticky. They're kind of saying, hey,

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Speaker 1: there are some appointed positions that you can fire and

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Speaker 1: some that you can't. But this one seemed pretty insignificant

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Speaker 1: when it comes to the presidential authority of like, yeah,

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Speaker 1: it feels like this makes the most sense. And then

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Speaker 1: the Supreme Court doing doing a very quick ruling here.

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Speaker 1: I don't know is this is this going to be

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Speaker 1: the roadblock every time President Trump tries to do anything

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Speaker 1: regarding firing people that he doesn't want working for the government.

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Speaker 3: Yeah, I'm not sure exactly what this ruling means for

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Speaker 3: us in terms of all these other decisions try and

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Speaker 3: actions that Trump is trying to take right now, because

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Speaker 3: as we know, he is being blocked by courts and

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Speaker 3: not just the Supreme Court, by federal judges. We have

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Speaker 3: this across the country right now trying to block all

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Speaker 3: of these different orders. So I'm still pretty concerned about it.

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Speaker 3: This one, it's a small victory. I think it's a

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Speaker 3: step in the right direction. We are talking about the NLRB,

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Speaker 3: the neighbor of the National Labor Relations Board. So I

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Speaker 3: really would rather see it be the FED, the chair

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Speaker 3: of the FED that he's able to fire. That to

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Speaker 3: me is number one priority. But baby steps will get

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Speaker 3: there hopefully.

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Speaker 1: Yeah, Steven, this is the Yeah, the Labor Relations Board

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Speaker 1: that they so they were ordered to be so Trump

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Speaker 1: fires them, they were ordered by another court to be reinstated,

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Speaker 1: and then Scotus said, we're going to halt the reinstatements.

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Speaker 1: Just a back and forth and back and forth. I

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Speaker 1: personally think this is part of the strategy, right, This

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Speaker 1: is part of the Lib strategy of just delay, delay, delayed, delay.

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Speaker 1: He'll be out of here in a couple of years

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Speaker 1: and we can continue doing on what we're doing. Is

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Speaker 1: that is that what's happening at the with these active

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Speaker 1: as judges.

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Speaker 4: I think so everything he does they have to immediately

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Speaker 4: take the opposite position of Then they shop it around

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Speaker 4: to any judge that they think is going to rule

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Speaker 4: favorably for them, just like they did when they tried

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Speaker 4: to get him off the Colorado ballot before the election.

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Speaker 4: So this is this is a big strategy that the

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Speaker 4: Democrats are now using to try to handcuff President Trump. Yes,

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Speaker 4: it's going to continue to happen.

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Speaker 1: But as the CEO of.

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Speaker 4: The country, he was literally voted in to make changes.

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Speaker 4: Like nobody gets mad at Disney if they say we're

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Speaker 4: gonna drop this movie and move this money over, Like

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Speaker 4: that's the entire point of what a CEO is supposed

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Speaker 4: to do. But anything Trump does, whether it's good or bad.

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Speaker 4: He could cure cancer they'll go for cancer. He could fart,

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Speaker 4: they'll try to tax it somehow. I mean, seriously, he

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Speaker 4: could do anything he does. They're going to do just

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Speaker 4: the opposite. Bill Gates would immediately. I'm donating a million

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Speaker 4: dollars to stop the farts of Donald Trump. It's too

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Speaker 4: much methane. It's too much winning, it's too much killing

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Speaker 4: the environment. This is climate change, and it's absolute worst.

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Speaker 4: That's the kind of crap that we would be seeing

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Speaker 4: in the New York Times.

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Speaker 1: You know, I do feel like I got to push

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Speaker 1: back on you a little bit. When the CEO of

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Speaker 1: Disney says, hey, we're not gonna put as many black

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Speaker 1: lesbians in the movies, the people revolt wholeheartedly. That's you know,

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Speaker 1: that's that's a problem they have over there. But you know,

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Speaker 1: speaking of people revolting, I'm wondering, Aaron. You know, we've

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Speaker 1: seen protests for just about anything. The penny is going way.

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Speaker 1: Are we about to see the streets of New York

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Speaker 1: City erupt in protests to keep around the penny? It

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Speaker 1: now costs four pennies to make one penny, which I

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Speaker 1: feel like is bad math. But you know, what, do

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Speaker 1: I know, I'm just a lowly talk show host. What

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Speaker 1: are your thoughts on the pennies? Should we have gotten

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Speaker 1: rid of it sooner? Will we miss it?

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Speaker 4: What do you think?

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Speaker 3: Yeah, I mean I'm getting a little nostalgic as we

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Speaker 3: talk about it, but we could be nostalgic over you know,

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Speaker 3: Horse and Buggy.

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Speaker 2: It doesn't mean we're supposed to stay in that time.

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Speaker 3: And the fact that it takes four pennies to make

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Speaker 3: one penny now, I mean, there was a trend a

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Speaker 3: while ago if people would remember on social media about

435
00:21:35,960 --> 00:21:40,040
Speaker 3: girl math, like you know, and this feels like it feels.

436
00:21:39,720 --> 00:21:41,320
Speaker 2: Like government bureaucracy.

437
00:21:41,359 --> 00:21:44,639
Speaker 3: Math is like spending forward sense to make one penny.

438
00:21:44,720 --> 00:21:46,280
Speaker 3: It makes absolutely no sense.

439
00:21:46,520 --> 00:21:47,399
Speaker 2: It's such a waste.

440
00:21:47,440 --> 00:21:50,800
Speaker 3: And also at this point, Robason moving more into digital currency,

441
00:21:50,840 --> 00:21:53,480
Speaker 3: which I know is its own topic of conversation, and

442
00:21:53,520 --> 00:21:56,720
Speaker 3: we have crypto now. But you know, yeah, this is ridiculous.

443
00:21:56,760 --> 00:21:59,280
Speaker 3: We do not need pennies. We could we could round

444
00:21:59,480 --> 00:22:01,760
Speaker 3: at the same way they retired the two dollars bill,

445
00:22:02,080 --> 00:22:03,480
Speaker 3: we should be retiring the penny.

446
00:22:03,480 --> 00:22:05,280
Speaker 2: But just save a penny for the memories.

447
00:22:06,040 --> 00:22:08,240
Speaker 1: Yeah, I want, I just I don't ever use a penny.

448
00:22:08,440 --> 00:22:10,959
Speaker 1: I mean, I love using cash. Believe me, I use

449
00:22:11,000 --> 00:22:13,720
Speaker 1: cash as much as I possibly can. Of course, I'm

450
00:22:13,800 --> 00:22:16,720
Speaker 1: making up a story that isn't real life because the

451
00:22:16,880 --> 00:22:19,440
Speaker 1: RS might be listening. But you know, I love cash.

452
00:22:19,480 --> 00:22:22,159
Speaker 1: I never use a penny. Here's here's my question, though, Stephen,

453
00:22:23,080 --> 00:22:27,080
Speaker 1: the Trump administration decides to eliminate the only brown penny.

454
00:22:27,359 --> 00:22:33,600
Speaker 1: Is this a racist move by those evil, evil Republicans

455
00:22:33,680 --> 00:22:37,640
Speaker 1: slash conservatives who want to save money?

456
00:22:37,760 --> 00:22:40,560
Speaker 4: Yeah, you would. You would think Trump or orange face

457
00:22:40,680 --> 00:22:43,840
Speaker 4: Trump wouldn't get rid of an orange coin. Like that's

458
00:22:44,000 --> 00:22:45,120
Speaker 4: that's gotta be racist.

459
00:22:45,240 --> 00:22:46,600
Speaker 1: That's got to be investigated.

460
00:22:47,000 --> 00:22:50,720
Speaker 4: Actually, I think he should have removed Abraham Lincoln. He's

461
00:22:50,720 --> 00:22:52,760
Speaker 4: already got the five dollars bill. He should have made

462
00:22:52,760 --> 00:22:56,200
Speaker 4: it Joe Biden and then discontinued the penny. Really, get

463
00:22:56,200 --> 00:22:58,800
Speaker 4: this guy out of here. Hey, penny for your thoughts. Oh,

464
00:22:58,840 --> 00:23:01,120
Speaker 4: I'm Joe Biden. There's no thoughts in my head. Get

465
00:23:01,119 --> 00:23:02,840
Speaker 4: this thing out of here. We got to get rid

466
00:23:02,840 --> 00:23:06,119
Speaker 4: of the penny. I mean, honestly, late, Like Aaron said,

467
00:23:06,320 --> 00:23:09,040
Speaker 4: it's nostalgic. You know, find a penny, pick it up

468
00:23:09,080 --> 00:23:12,040
Speaker 4: all day long. You'll have good luck. Save a penny here,

469
00:23:12,080 --> 00:23:12,919
Speaker 4: Save a penny.

470
00:23:12,640 --> 00:23:14,200
Speaker 1: There like life.

471
00:23:14,320 --> 00:23:17,399
Speaker 4: Inflation has gotten to out of control. Like you know,

472
00:23:17,440 --> 00:23:19,680
Speaker 4: in the olden days, they used to say, young man,

473
00:23:19,760 --> 00:23:22,080
Speaker 4: you look like one hundred dollars, but now with inflation,

474
00:23:22,160 --> 00:23:24,800
Speaker 4: you look like a million bucks, right, Like our language

475
00:23:24,800 --> 00:23:27,680
Speaker 4: has changed, our money has to change. So I think

476
00:23:27,680 --> 00:23:29,879
Speaker 4: it's smart. Trump has got to get rid of this.

477
00:23:30,080 --> 00:23:32,000
Speaker 4: I mean he's got to get either get rid of

478
00:23:32,000 --> 00:23:34,400
Speaker 4: the penny or the F thirty five jet that we've

479
00:23:34,400 --> 00:23:37,240
Speaker 4: spent over a trillion dollars on that doesn't work thirty

480
00:23:37,320 --> 00:23:39,720
Speaker 4: five percent of the time. It's time to make those

481
00:23:39,760 --> 00:23:40,520
Speaker 4: hard decisions.

482
00:23:40,680 --> 00:23:43,720
Speaker 1: Joe Bob, Yeah, I think that would be great. He

483
00:23:43,720 --> 00:23:45,840
Speaker 1: still has time to put Joe Biden's face on the penny.

484
00:23:45,840 --> 00:23:48,920
Speaker 1: They don't stop making them or minting them until next year,

485
00:23:49,160 --> 00:23:51,000
Speaker 1: but that would be laryerus put Joe Biden's face out

486
00:23:51,040 --> 00:23:53,359
Speaker 1: of then cancel it because there's nothing going on up there.

487
00:23:53,760 --> 00:23:56,320
Speaker 1: Aaron Wexler, Steven Gardner, guys, thanks so much for joining us.

488
00:23:56,320 --> 00:23:58,840
Speaker 1: Really appreciate you taking the time. Great to see you're

489
00:23:58,800 --> 00:24:01,399
Speaker 1: absolutely thank you. I have a great Memorial Day weekend

490
00:24:01,520 --> 00:24:03,040
Speaker 1: coming up here on Turning Point tonight. We've got a

491
00:24:03,040 --> 00:24:05,960
Speaker 1: great clip from Alex Clark's Culture Apothecary podcast Don't go away,

492
00:24:05,960 --> 00:24:07,000
Speaker 1: It'll be right back after this.

493
00:24:19,800 --> 00:24:22,880
Speaker 7: You are the founder of one of the most thorough

494
00:24:23,119 --> 00:24:27,080
Speaker 7: and most sought after home talks and testing companies in

495
00:24:27,119 --> 00:24:31,000
Speaker 7: the country. So how did testing for mold and EMFs

496
00:24:31,119 --> 00:24:32,160
Speaker 7: become your life's work.

497
00:24:32,240 --> 00:24:34,119
Speaker 8: Yeah, you know, I've always been kind of fascinated with

498
00:24:34,160 --> 00:24:36,520
Speaker 8: how the environment around us affects our bodies, either for

499
00:24:36,600 --> 00:24:38,480
Speaker 8: good or for bad. And when I was in my

500
00:24:38,520 --> 00:24:40,800
Speaker 8: twenties a hated company. We were doing the nightclubs and

501
00:24:40,800 --> 00:24:43,560
Speaker 8: the high end restaurants and recording studios and doing all

502
00:24:43,560 --> 00:24:46,600
Speaker 8: the environmental control systems, everything to stimulate the body, you know,

503
00:24:46,720 --> 00:24:48,880
Speaker 8: with the right colors and the lighting and the sound.

504
00:24:49,520 --> 00:24:51,399
Speaker 8: But then I got sick from mold living in a

505
00:24:51,400 --> 00:24:53,960
Speaker 8: moldy house, and it actually took a while to figure

506
00:24:53,960 --> 00:24:56,840
Speaker 8: out what the problem was. Once I realized it was mold.

507
00:24:57,080 --> 00:24:59,240
Speaker 8: Recovered from that, and I kind of realized, Okay, there's

508
00:24:59,240 --> 00:25:01,320
Speaker 8: a dark side of the end environment. The environment can

509
00:25:01,359 --> 00:25:03,800
Speaker 8: actually do a lot of harm to our body. And

510
00:25:03,880 --> 00:25:06,240
Speaker 8: so I went back to school, did some training and

511
00:25:06,280 --> 00:25:09,919
Speaker 8: an education as a building biologist and learned about how

512
00:25:10,359 --> 00:25:12,679
Speaker 8: the environment around us really affects the body. And so

513
00:25:12,680 --> 00:25:15,560
Speaker 8: that's kind of why we started this company because I

514
00:25:15,560 --> 00:25:17,840
Speaker 8: feel like there's a big gap right now where no

515
00:25:17,840 --> 00:25:20,880
Speaker 8: one's really looking out for people in their homes. I mean,

516
00:25:20,920 --> 00:25:22,920
Speaker 8: we have the EPA and they're doing what they're doing,

517
00:25:22,960 --> 00:25:25,359
Speaker 8: but no one's really looking out for the environment of

518
00:25:25,359 --> 00:25:27,720
Speaker 8: our house. And really we're spending up to ninety percent

519
00:25:27,720 --> 00:25:30,960
Speaker 8: of our lives indoors, either in our car or our

520
00:25:31,000 --> 00:25:33,800
Speaker 8: work or school or home, and these are the places

521
00:25:33,800 --> 00:25:36,439
Speaker 8: that typically is the last place we look when it

522
00:25:36,440 --> 00:25:37,719
Speaker 8: comes to our health and wellness.

523
00:25:37,880 --> 00:25:41,280
Speaker 7: Were you somebody that was also living in black mold?

524
00:25:41,680 --> 00:25:42,000
Speaker 9: Yes?

525
00:25:42,119 --> 00:25:45,120
Speaker 8: I was, and so I started getting sick. I went

526
00:25:45,160 --> 00:25:48,080
Speaker 8: to several different doctors, Western medicine doctors. They just wanted

527
00:25:48,080 --> 00:25:50,560
Speaker 8: to start cutting me out, take my gallbladder out. I

528
00:25:50,600 --> 00:25:52,360
Speaker 8: thought I had stomach counts. So I'm like, no, we've

529
00:25:52,359 --> 00:25:54,520
Speaker 8: got to figure out what's going on here. Went to

530
00:25:54,560 --> 00:25:56,719
Speaker 8: a functional medicine doctor. He tested me and found out

531
00:25:56,760 --> 00:25:59,760
Speaker 8: I had high levels of microtoxins in my body, which

532
00:25:59,800 --> 00:26:01,919
Speaker 8: is the poison that the mold puts off. And so

533
00:26:01,960 --> 00:26:03,600
Speaker 8: it did some looking around the house. Sure enough, it

534
00:26:03,640 --> 00:26:06,280
Speaker 8: was chuck full of black mold. So moved out of

535
00:26:06,280 --> 00:26:08,439
Speaker 8: that house right away. It took about a year to

536
00:26:08,480 --> 00:26:10,320
Speaker 8: fully recover and get back to normal from that.

537
00:26:10,480 --> 00:26:12,800
Speaker 7: How do you recover from black mold exposure?

538
00:26:13,359 --> 00:26:16,080
Speaker 8: So just heavy detox and really it's all about supporting

539
00:26:16,080 --> 00:26:16,520
Speaker 8: the body.

540
00:26:17,480 --> 00:26:20,679
Speaker 9: No chemicals, no unhealthy food.

541
00:26:20,720 --> 00:26:24,720
Speaker 8: You got to exercise, you gotta sweat doing the sauna.

542
00:26:24,880 --> 00:26:27,080
Speaker 8: There's supplements that you can use to support the body.

543
00:26:27,320 --> 00:26:29,360
Speaker 8: There's a whole detox routine that you can go through

544
00:26:29,400 --> 00:26:30,280
Speaker 8: to get that stuff.

545
00:26:30,000 --> 00:26:30,600
Speaker 9: Out of your system.

546
00:26:30,640 --> 00:26:32,399
Speaker 7: Do you remember what some of the supplements were that

547
00:26:32,440 --> 00:26:32,960
Speaker 7: you used.

548
00:26:33,200 --> 00:26:36,520
Speaker 9: I went through what's called the Pampa program and.

549
00:26:36,480 --> 00:26:37,359
Speaker 7: They doctor Pampa.

550
00:26:37,440 --> 00:26:38,720
Speaker 9: Yeah, doctor Pampa. Yeah.

551
00:26:39,000 --> 00:26:42,600
Speaker 8: They have a great detox protocol that works really well.

552
00:26:42,680 --> 00:26:44,520
Speaker 8: And actually I still do that to this day. I

553
00:26:44,560 --> 00:26:47,240
Speaker 8: do general, Like every couple of months, I'll go through

554
00:26:47,240 --> 00:26:48,119
Speaker 8: a detox cycle.

555
00:26:48,480 --> 00:26:49,560
Speaker 9: I think everybody needs to.

556
00:26:49,880 --> 00:26:52,879
Speaker 8: We live in a toxic environment, the things around us,

557
00:26:53,040 --> 00:26:55,639
Speaker 8: what we put on our body, We're always building up

558
00:26:55,680 --> 00:26:57,679
Speaker 8: stuff in our body, so we want to detox that

559
00:26:57,720 --> 00:26:58,400
Speaker 8: pretty regularly.

560
00:26:58,480 --> 00:26:58,600
Speaker 4: Well.

561
00:26:58,600 --> 00:27:01,280
Speaker 7: Also, I think you're going on the country and you're

562
00:27:01,640 --> 00:27:04,760
Speaker 7: helping like fine mold and stuff in people's home, so

563
00:27:04,840 --> 00:27:06,720
Speaker 7: you are still being kind of exposed to it. So

564
00:27:06,720 --> 00:27:09,399
Speaker 7: are there's special you know, protocols that you have to

565
00:27:09,440 --> 00:27:11,000
Speaker 7: do because you're still around it.

566
00:27:11,320 --> 00:27:13,119
Speaker 8: Yeah, I am, and you know, when I'm going to

567
00:27:13,160 --> 00:27:15,720
Speaker 8: do inspections if the occupants of the home are not

568
00:27:15,760 --> 00:27:18,000
Speaker 8: feeling well, if they're sick, that's really a big clue

569
00:27:18,000 --> 00:27:19,840
Speaker 8: for me that I should probably wear protection when I

570
00:27:19,880 --> 00:27:22,000
Speaker 8: go into the house with a mask and gloves and things.

571
00:27:22,760 --> 00:27:24,919
Speaker 8: But yeah, I am exposed more often than not, and

572
00:27:24,960 --> 00:27:27,240
Speaker 8: so I do need to do regular detok cycles.

573
00:27:27,680 --> 00:27:31,920
Speaker 7: Approximately how many families are suffering from severe mold exposure

574
00:27:31,920 --> 00:27:33,080
Speaker 7: and they don't even know it.

575
00:27:33,080 --> 00:27:36,080
Speaker 8: It's estimated about seventy percent of homes have mold. That's

576
00:27:36,119 --> 00:27:39,360
Speaker 8: higher than average. WHOA, that's a lot. And I would

577
00:27:39,400 --> 00:27:42,480
Speaker 8: say at least half of those people are really sick

578
00:27:42,520 --> 00:27:43,680
Speaker 8: in their home because of mold.

579
00:27:43,760 --> 00:27:46,240
Speaker 7: Who is the most at risk for mold? Is it

580
00:27:46,320 --> 00:27:49,560
Speaker 7: the older home owner or is it a new home owner.

581
00:27:49,880 --> 00:27:52,240
Speaker 8: So typically it's going to be the older home because

582
00:27:52,760 --> 00:27:54,679
Speaker 8: it's what's called mold load. So when you have a

583
00:27:54,680 --> 00:27:57,600
Speaker 8: brand new house, the mold load is pretty much zero

584
00:27:57,720 --> 00:28:00,720
Speaker 8: because it's equal with what's going on outside. Now, as

585
00:28:00,880 --> 00:28:02,800
Speaker 8: time goes on and we have a little bit of

586
00:28:02,840 --> 00:28:05,080
Speaker 8: a leak or a toilet overflows or they leave a

587
00:28:05,119 --> 00:28:07,280
Speaker 8: sandwich out in the bottom of the garbage cannon. This

588
00:28:07,720 --> 00:28:11,159
Speaker 8: mold starts to grow. It releases micotoxins and mold spores

589
00:28:11,160 --> 00:28:13,680
Speaker 8: into the air, and this can accumulate in the dust

590
00:28:13,680 --> 00:28:15,960
Speaker 8: of your home, and so the mold load slowly starts

591
00:28:16,000 --> 00:28:17,439
Speaker 8: to go up. So if you have a fifty year

592
00:28:17,440 --> 00:28:20,600
Speaker 8: old home, you could have had twenty thirty different mold

593
00:28:20,640 --> 00:28:23,520
Speaker 8: events over that time. Every time the mold load increases

594
00:28:23,560 --> 00:28:25,240
Speaker 8: and you get more and more toxic in the home,

595
00:28:25,280 --> 00:28:27,080
Speaker 8: and they call that sick building syndrome.

596
00:28:27,359 --> 00:28:30,160
Speaker 7: So is there certain things when you are shopping for

597
00:28:30,320 --> 00:28:33,200
Speaker 7: an older home before moving in? Are there certain things

598
00:28:33,200 --> 00:28:35,359
Speaker 7: that you should be doing to that environment in the

599
00:28:35,359 --> 00:28:36,280
Speaker 7: home before moving in?

600
00:28:36,600 --> 00:28:38,640
Speaker 8: Yeah, definitely, if you can get a good history of

601
00:28:38,680 --> 00:28:41,880
Speaker 8: the home about all the water events. Because mold needs

602
00:28:41,920 --> 00:28:43,760
Speaker 8: water to grow. It's an organism just like us. It

603
00:28:43,760 --> 00:28:46,240
Speaker 8: needs food and water. So if we have water in

604
00:28:46,280 --> 00:28:48,880
Speaker 8: the environment for more than about twenty four or forty

605
00:28:48,880 --> 00:28:51,200
Speaker 8: eight hours, mold is going to start to grow. And

606
00:28:51,240 --> 00:28:53,960
Speaker 8: so if there's been a lot of water damage, a

607
00:28:53,960 --> 00:28:56,120
Speaker 8: lot of flooding, or if it's the high humidity area,

608
00:28:56,680 --> 00:28:58,320
Speaker 8: then you need to give a little bit more attention.

609
00:28:58,680 --> 00:29:00,920
Speaker 8: But the newer homes tend to be a lot less

610
00:29:00,960 --> 00:29:03,600
Speaker 8: moldy just because there's less chance of water events in

611
00:29:03,640 --> 00:29:04,040
Speaker 8: the past.

612
00:29:04,400 --> 00:29:07,400
Speaker 7: Are there certain areas of the country that should prioritize

613
00:29:07,400 --> 00:29:08,800
Speaker 7: mold testing more than others.

614
00:29:09,240 --> 00:29:13,280
Speaker 8: Yes, So if your overall humidity is above sixty percent

615
00:29:13,640 --> 00:29:16,840
Speaker 8: for a good amount of the time, then that's when

616
00:29:16,880 --> 00:29:19,400
Speaker 8: molds can start to spontaneously grow. So we're here in

617
00:29:19,440 --> 00:29:22,959
Speaker 8: the desert where I live in Idaho, the humidity thirty

618
00:29:23,120 --> 00:29:25,160
Speaker 8: twenty percent depend on the time of year. But if

619
00:29:25,200 --> 00:29:27,880
Speaker 8: you're in Florida, where it's ninety one hundred percent humidity,

620
00:29:28,320 --> 00:29:31,800
Speaker 8: mold can spontaneously start to grow pretty rapidly.

621
00:29:32,080 --> 00:29:33,760
Speaker 7: And I think when you're living in a state like

622
00:29:33,800 --> 00:29:38,040
Speaker 7: Florida or Louisiana or something like that, what those homeowners

623
00:29:38,040 --> 00:29:40,080
Speaker 7: are told a lot of the time is just well,

624
00:29:40,160 --> 00:29:42,719
Speaker 7: everyone has a little bit of molds. That's just how

625
00:29:42,760 --> 00:29:44,920
Speaker 7: it is. That's life in Florida. I mean, is that

626
00:29:45,160 --> 00:29:47,640
Speaker 7: good advice, fair advice, or dangerous advice?

627
00:29:48,040 --> 00:29:51,000
Speaker 8: Well, I mean you're just normalizing the problems that we

628
00:29:51,120 --> 00:29:53,440
Speaker 8: have in this country. You know, there's a lot of

629
00:29:53,440 --> 00:29:56,200
Speaker 8: things we normalize, like fast food and some of the ideology,

630
00:29:56,240 --> 00:29:59,600
Speaker 8: and so yeah, yeah, you can normalize being sick if

631
00:29:59,640 --> 00:30:01,120
Speaker 8: you want, but there's a better way.

632
00:30:00,920 --> 00:30:01,320
Speaker 9: To do it.

633
00:30:01,560 --> 00:30:04,880
Speaker 7: When somebody hires you to test their home, you're not

634
00:30:05,040 --> 00:30:07,200
Speaker 7: only testing for mold. What are all of the things

635
00:30:07,200 --> 00:30:09,240
Speaker 7: that you're looking at when it comes to a healthy

636
00:30:09,240 --> 00:30:09,920
Speaker 7: home environment.

637
00:30:10,080 --> 00:30:12,800
Speaker 8: Yeah, so there's really six main pillars that we focus on.

638
00:30:12,800 --> 00:30:14,960
Speaker 8: One is air quality, the air that we're breathing in.

639
00:30:15,360 --> 00:30:17,520
Speaker 8: Two is obviously the mold that we're talking about. Three

640
00:30:17,600 --> 00:30:19,160
Speaker 8: is going to be the chemicals that we're bringing into

641
00:30:19,160 --> 00:30:20,640
Speaker 8: our house and that we're put in on our body,

642
00:30:20,680 --> 00:30:23,480
Speaker 8: the personal care product cleaning supplies. Fourth is going to

643
00:30:23,520 --> 00:30:27,760
Speaker 8: be water, what we're drinking, showering, and bathing in. Fifth

644
00:30:27,800 --> 00:30:30,000
Speaker 8: is going to be the EMF and that's the technology

645
00:30:30,000 --> 00:30:33,400
Speaker 8: that we're using, the artificial energy that surround us from

646
00:30:33,440 --> 00:30:35,800
Speaker 8: our technology. And then six is going to be the

647
00:30:35,880 --> 00:30:38,440
Speaker 8: lighting that sets our circadian rhythm up.

648
00:30:38,480 --> 00:30:40,520
Speaker 7: How do light bulbs affect our health.

649
00:30:41,000 --> 00:30:43,600
Speaker 8: We've evolved on this planet with the sun giving us

650
00:30:43,680 --> 00:30:45,400
Speaker 8: cues on when to sleep and when to be awake.

651
00:30:45,440 --> 00:30:47,200
Speaker 8: It's not a coincidence that we sleep when the sun

652
00:30:47,240 --> 00:30:49,120
Speaker 8: goes down and that we're awake when the sun is up,

653
00:30:49,600 --> 00:30:51,680
Speaker 8: and they've done studies that show that it's the actual

654
00:30:51,720 --> 00:30:55,080
Speaker 8: blue light in the sun that tells us to suppress melatonin.

655
00:30:55,440 --> 00:30:58,000
Speaker 8: But once the sun starts to go down. Ancestraly, we

656
00:30:58,080 --> 00:31:01,400
Speaker 8: had candles and fires and lanterns, and it was more

657
00:31:01,400 --> 00:31:04,160
Speaker 8: of the red and the orange and yellow light and

658
00:31:04,200 --> 00:31:06,120
Speaker 8: there wasn't any blue light in it, and that's what

659
00:31:06,160 --> 00:31:08,760
Speaker 8: would trigger the body to start producing melatonin and get

660
00:31:08,760 --> 00:31:12,160
Speaker 8: our bodies prepped for sleeping. Now, what happens with modern

661
00:31:12,240 --> 00:31:14,240
Speaker 8: life is when the sun starts to go down, we

662
00:31:14,320 --> 00:31:16,000
Speaker 8: turn on the lights. We just turn on the TV.

663
00:31:16,120 --> 00:31:18,280
Speaker 8: We jump in front of our phone, our laptop, and

664
00:31:18,320 --> 00:31:19,880
Speaker 8: there's a ton of blue light in that, and that

665
00:31:20,040 --> 00:31:23,120
Speaker 8: starts suppressing the melatonin again, and it starts messing up

666
00:31:23,120 --> 00:31:25,360
Speaker 8: our circadian rhythm, and then people don't get a good

667
00:31:25,440 --> 00:31:25,840
Speaker 8: night's sleep.

668
00:31:26,000 --> 00:31:28,160
Speaker 7: There's a lot of memes on social media of people

669
00:31:28,200 --> 00:31:30,680
Speaker 7: being like I hate the big light and stuff like that.

670
00:31:30,880 --> 00:31:33,440
Speaker 7: But what you're saying is there might be something to that.

671
00:31:33,960 --> 00:31:35,960
Speaker 9: Absolutely yeah, Like you know, people.

672
00:31:35,760 --> 00:31:37,880
Speaker 7: Are like I only want candles or lamps on, but

673
00:31:37,880 --> 00:31:40,600
Speaker 7: I don't want the big overhead light on. It's actually

674
00:31:40,680 --> 00:31:43,000
Speaker 7: probably better for you not to have that on at night.

675
00:31:43,080 --> 00:31:45,200
Speaker 8: Right absolutely, and there's even some studies that show the

676
00:31:45,280 --> 00:31:47,920
Speaker 8: direction of where the light is coming from also helps

677
00:31:47,960 --> 00:31:50,760
Speaker 8: trigger that. So if it's from overhead shooting down like

678
00:31:51,080 --> 00:31:54,400
Speaker 8: middle of the day, that's also suppressing the melatonin versus

679
00:31:54,440 --> 00:32:06,040
Speaker 8: at eyghlight eyeline.

680
00:32:07,240 --> 00:32:10,120
Speaker 10: Immediately, nobody else thought about you, who's just twenty four

681
00:32:10,160 --> 00:32:12,480
Speaker 10: to seven flooding the zone. Back to my thirteen year

682
00:32:12,520 --> 00:32:15,400
Speaker 10: old owning this space every day, getting a convert and

683
00:32:15,400 --> 00:32:18,800
Speaker 10: then I'm thinking about we're gonna stand back and watch

684
00:32:18,880 --> 00:32:20,800
Speaker 10: you run circles around us.

685
00:32:20,920 --> 00:32:23,600
Speaker 5: He said it best at Turning Point USA. We're relentless.

686
00:32:23,680 --> 00:32:28,040
Speaker 5: We're changing minds on campuses every semester, defending conservative values

687
00:32:28,240 --> 00:32:31,600
Speaker 5: and fighting for America's future. Your donation helps keep us

688
00:32:31,640 --> 00:32:35,200
Speaker 5: on campus. Join the movement and donate to TPUSA today.

689
00:32:37,120 --> 00:32:40,040
Speaker 1: That is TPUSA dot com if you'd like to keep

690
00:32:40,080 --> 00:32:43,479
Speaker 1: conservative voices alive and well on college campuses. You can

691
00:32:43,480 --> 00:32:45,760
Speaker 1: also find out about all of our fantastic events at

692
00:32:45,760 --> 00:32:48,720
Speaker 1: TVUSA dot com. We've got the Student Action SMIT coming

693
00:32:48,760 --> 00:32:50,959
Speaker 1: up in July. Next month, there's a Young Women's Leadership

694
00:32:51,000 --> 00:32:53,120
Speaker 1: something happening in Dallas. You can't go if you're a

695
00:32:53,120 --> 00:32:55,320
Speaker 1: man and then in conjunction with these student actions some

696
00:32:55,440 --> 00:32:57,760
Speaker 1: and I think there is the educator something from Turning

697
00:32:57,800 --> 00:33:00,560
Speaker 1: Point Academy. You've got kids and you don't want them

698
00:33:00,560 --> 00:33:04,000
Speaker 1: indoctrinated in the woke schools. Turning Point Academy dot com

699
00:33:04,080 --> 00:33:06,560
Speaker 1: is a great place to start. So much going on

700
00:33:06,600 --> 00:33:08,640
Speaker 1: at Turning Point. You can find out everything at Turning

701
00:33:08,680 --> 00:33:12,040
Speaker 1: Point USA. Sorry TPUSA dot com. You can also an

702
00:33:12,040 --> 00:33:15,600
Speaker 1: emails show anytime you want. TPT at TPUSA dot com.

703
00:33:15,800 --> 00:33:18,080
Speaker 1: I got some always get some fantastic notes. I'm waiting

704
00:33:18,120 --> 00:33:20,080
Speaker 1: for somebody to disagree. I think we had one person

705
00:33:20,200 --> 00:33:24,360
Speaker 1: disagree feverishly on something that they were just wrong about.

706
00:33:24,440 --> 00:33:26,400
Speaker 1: Because if you obviously, if you disagree with anything we

707
00:33:26,440 --> 00:33:30,200
Speaker 1: say here, it's just wrong. It's a really not that

708
00:33:30,320 --> 00:33:33,320
Speaker 1: much more simple. It's of course that is the case.

709
00:33:33,760 --> 00:33:36,200
Speaker 1: But TPT at TPUSA dot com we read every single

710
00:33:36,200 --> 00:33:38,560
Speaker 1: email that comes to the door, and thankfully most of

711
00:33:38,600 --> 00:33:41,840
Speaker 1: them are pleasant. We appreciate you sending those in. Now

712
00:33:43,200 --> 00:33:47,040
Speaker 1: it's Friday, we're gonna have some fun. But yesterday I

713
00:33:47,120 --> 00:33:51,280
Speaker 1: recorded a clip of myself in a Costco parking lot

714
00:33:51,520 --> 00:33:54,120
Speaker 1: on Instagram. If you don't follow me on Instagram, man,

715
00:33:54,200 --> 00:33:56,320
Speaker 1: you are missing out. I mean, it is a party

716
00:33:56,400 --> 00:33:59,840
Speaker 1: over there every every day. There's just fun to be had,

717
00:34:00,280 --> 00:34:03,640
Speaker 1: including voting in some of the polls that I put out.

718
00:34:04,080 --> 00:34:06,720
Speaker 1: I was walking my cart back to the cart rack

719
00:34:06,920 --> 00:34:10,919
Speaker 1: area in the parking lot, as every good American should do,

720
00:34:11,520 --> 00:34:14,000
Speaker 1: and noticed all of the carts all around the parking lot,

721
00:34:14,120 --> 00:34:16,640
Speaker 1: just scattered around. I thought to myself, you know, I

722
00:34:16,640 --> 00:34:19,960
Speaker 1: think a good way to judge a society and a culture,

723
00:34:20,040 --> 00:34:22,839
Speaker 1: even locally, would be whether or not they put their

724
00:34:22,960 --> 00:34:26,839
Speaker 1: carts in the cart stall after they finish using them.

725
00:34:27,000 --> 00:34:29,759
Speaker 1: In the same way, I think you can pretty adequately

726
00:34:29,880 --> 00:34:32,960
Speaker 1: judge a society a culture in a society by how

727
00:34:33,000 --> 00:34:36,959
Speaker 1: well they stand in line. You look at the UK

728
00:34:37,400 --> 00:34:40,000
Speaker 1: and man, those people queue up. Maybe not so much

729
00:34:40,040 --> 00:34:44,279
Speaker 1: in recent years with the influx of immigrants coming into

730
00:34:44,280 --> 00:34:47,440
Speaker 1: the country and invading into their culture. Maybe not so

731
00:34:47,520 --> 00:34:50,520
Speaker 1: much now, But in the past they lined up perfectly.

732
00:34:50,640 --> 00:34:52,319
Speaker 1: Nobody was fighting to get in line. You go to

733
00:34:52,320 --> 00:34:54,800
Speaker 1: some countries in South America, it is a freaking free

734
00:34:54,840 --> 00:34:58,440
Speaker 1: for all, and guess what the societies reflect how people

735
00:34:58,440 --> 00:35:01,200
Speaker 1: are able to stay in line. That being said, I

736
00:35:01,320 --> 00:35:04,399
Speaker 1: took it upon myself to mention on Instagram I think

737
00:35:04,400 --> 00:35:06,600
Speaker 1: there should be a punishment for not putting your cart

738
00:35:06,680 --> 00:35:09,000
Speaker 1: in the cart wrack. We live in a society, we

739
00:35:09,200 --> 00:35:12,800
Speaker 1: follow rules, and we put our freaking cards back in

740
00:35:12,880 --> 00:35:17,480
Speaker 1: the cart stall. Unfortunately, this was met with severe blowback,

741
00:35:17,760 --> 00:35:20,600
Speaker 1: and only eighty four percent of people in my poll

742
00:35:21,080 --> 00:35:24,680
Speaker 1: decided that well, that should be worth prison time or

743
00:35:24,760 --> 00:35:28,200
Speaker 1: sending them straight to Getmo, which I fervently believe if

744
00:35:28,200 --> 00:35:29,719
Speaker 1: you don't put your cart back in the card stall,

745
00:35:29,880 --> 00:35:35,680
Speaker 1: get Moo immediately. Anyways, all of that is to say this,

746
00:35:35,680 --> 00:35:37,640
Speaker 1: This is one of my favorite Instagram pages that I

747
00:35:37,640 --> 00:35:40,760
Speaker 1: would love to share with you. If you like law

748
00:35:40,800 --> 00:35:43,759
Speaker 1: and order, especially in the context of putting your cart

749
00:35:43,800 --> 00:35:46,880
Speaker 1: away at the card stall, watch this clip from Cartnarcs

750
00:35:47,480 --> 00:35:53,080
Speaker 1: and hopefully you will be energized with knowing that somebody

751
00:35:53,120 --> 00:35:55,880
Speaker 1: out there is policing America's parking lots. Watch this.

752
00:35:57,520 --> 00:36:00,640
Speaker 4: Put your card out and all this spot are assault me.

753
00:36:00,920 --> 00:36:02,799
Speaker 4: This is a third degree assault. You know what I think?

754
00:36:02,840 --> 00:36:04,879
Speaker 4: I feel like you already read the law once.

755
00:36:05,080 --> 00:36:06,600
Speaker 9: No, no, no, I'm studying a big time.

756
00:36:06,760 --> 00:36:08,239
Speaker 1: Please quit harassing me.

757
00:36:08,440 --> 00:36:09,279
Speaker 10: What does big time mean?

758
00:36:09,320 --> 00:36:09,560
Speaker 6: Wait?

759
00:36:09,640 --> 00:36:10,480
Speaker 1: Harassing me?

760
00:36:10,640 --> 00:36:11,320
Speaker 4: Why are you yelling?

761
00:36:11,480 --> 00:36:13,560
Speaker 1: Wait? Harassing me? Easy?

762
00:36:13,640 --> 00:36:13,920
Speaker 6: Leave me?

763
00:36:14,000 --> 00:36:19,080
Speaker 4: Alone, Sir, you're following into this quits into the.

764
00:36:19,120 --> 00:36:20,520
Speaker 5: Victim spiral hood sout.

765
00:36:20,960 --> 00:36:21,680
Speaker 1: This is a sault.

766
00:36:21,680 --> 00:36:22,440
Speaker 10: You need to find as salt.

767
00:36:22,440 --> 00:36:24,120
Speaker 1: I don't have to hit somebody with assault.

768
00:36:24,280 --> 00:36:26,080
Speaker 4: You just what a salt actually is with me? Do

769
00:36:26,120 --> 00:36:27,440
Speaker 4: you want to have a conversation sir or not?

770
00:36:28,320 --> 00:36:28,560
Speaker 6: My name?

771
00:36:29,440 --> 00:36:31,239
Speaker 4: I'm agents Abashined. I didn't stop you at all. I

772
00:36:31,239 --> 00:36:32,240
Speaker 4: didn't stop you whatsoever.

773
00:36:32,520 --> 00:36:33,080
Speaker 6: Let me lead.

774
00:36:33,400 --> 00:36:34,719
Speaker 4: You're allowed to leave it any time.

775
00:36:34,840 --> 00:36:35,719
Speaker 10: Please let me leave.

776
00:36:35,760 --> 00:36:38,439
Speaker 4: You're we're stopping me from how so? How so we're

777
00:36:38,480 --> 00:36:41,000
Speaker 4: stopping You were holding onto my car right over? Can

778
00:36:41,040 --> 00:36:41,960
Speaker 4: a person hold your car?

779
00:36:42,080 --> 00:36:44,840
Speaker 1: No, you cannot touch my car. You can a person

780
00:36:44,880 --> 00:36:45,879
Speaker 1: physically hold your car?

781
00:36:46,000 --> 00:36:48,880
Speaker 4: I said, sir, you cannot touch my car. First, I

782
00:36:48,880 --> 00:36:50,120
Speaker 4: can't look at that. Look what I did?

783
00:36:50,160 --> 00:36:50,799
Speaker 6: I just touched it.

784
00:36:50,880 --> 00:36:53,920
Speaker 10: That is trespassed it, sir, sir, does you got a

785
00:36:54,000 --> 00:36:54,840
Speaker 10: lazy bull's law school?

786
00:36:54,840 --> 00:36:55,880
Speaker 4: Because that's what it sounds like.

787
00:36:57,480 --> 00:37:00,480
Speaker 1: Oh, you have to just put your freaking card back again.

788
00:37:01,160 --> 00:37:06,359
Speaker 1: It's a society that prioritizes order, puts their cart back

789
00:37:06,360 --> 00:37:07,920
Speaker 1: in the card stall. All that I had to do

790
00:37:08,080 --> 00:37:10,200
Speaker 1: put a cart back in the cart stall, and that

791
00:37:10,200 --> 00:37:10,560
Speaker 1: that's it.

792
00:37:10,680 --> 00:37:11,000
Speaker 9: That's it.

793
00:37:11,320 --> 00:37:14,879
Speaker 1: We're free and clear and nothing, nothing else happens. So

794
00:37:15,040 --> 00:37:18,440
Speaker 1: do your part, pick up your trash and put your

795
00:37:18,480 --> 00:37:20,200
Speaker 1: cart in the cart stall, and we can live in

796
00:37:20,239 --> 00:37:24,560
Speaker 1: a flourishing society. Unfortunately, in some places that's culture and

797
00:37:24,600 --> 00:37:28,120
Speaker 1: societal norm is deteriorating, especially over there in the UK,

798
00:37:28,160 --> 00:37:29,520
Speaker 1: where they used to be able to stand in line.

799
00:37:29,600 --> 00:37:33,239
Speaker 1: Now it's just hordes of third world country chaos going

800
00:37:33,280 --> 00:37:35,920
Speaker 1: on over there. Speaking of third world country chaos, I

801
00:37:36,000 --> 00:37:39,960
Speaker 1: also thought this video was hilarious. There's a there's a trend,

802
00:37:40,000 --> 00:37:42,640
Speaker 1: so you know where you take a young child, you

803
00:37:42,640 --> 00:37:45,760
Speaker 1: put them in the center, and you put three upside

804
00:37:45,760 --> 00:37:47,759
Speaker 1: down bulls. Mom has a bowl, Dad has a bull

805
00:37:48,040 --> 00:37:51,399
Speaker 1: kid has a bowl. They take turns, one at a time,

806
00:37:51,800 --> 00:37:54,880
Speaker 1: uncovering what's underneath their bowl, and it turns out that

807
00:37:55,040 --> 00:37:58,040
Speaker 1: the kid has two, Dad has one and mom has none.

808
00:37:58,400 --> 00:38:00,920
Speaker 1: And finding out what the kid does in reaction to that,

809
00:38:00,960 --> 00:38:03,200
Speaker 1: whether they give mom one of theirs, or how they

810
00:38:03,200 --> 00:38:05,920
Speaker 1: decided to divv eat up, is always hilarious on the internet.

811
00:38:06,040 --> 00:38:08,879
Speaker 1: This I thought was the best example of that. We

812
00:38:08,960 --> 00:38:13,440
Speaker 1: have ladies and gentlemen a future liberal politician on our hands.

813
00:38:13,520 --> 00:38:14,080
Speaker 1: Watch this.

814
00:38:17,160 --> 00:38:19,120
Speaker 9: No No, No, no, no, no, no, we have to look

815
00:38:19,200 --> 00:38:20,040
Speaker 9: everybody first.

816
00:38:21,520 --> 00:38:27,200
Speaker 2: What daddy has. Oh it got fun.

817
00:38:31,840 --> 00:38:41,040
Speaker 3: I think, I all you give me one and I

818
00:38:41,160 --> 00:38:48,080
Speaker 3: will give it.

819
00:38:48,160 --> 00:38:49,480
Speaker 2: Is that it?

820
00:38:49,960 --> 00:39:04,200
Speaker 1: Yeah, Now we're gonna give him some grace. He's a child.

821
00:39:04,320 --> 00:39:06,759
Speaker 1: It's funny when kids do stuff like that because that's

822
00:39:06,760 --> 00:39:09,160
Speaker 1: how the brain works, and it's adorable and cute and

823
00:39:09,239 --> 00:39:13,360
Speaker 1: hopefully there's a course correction there and the kid learns, yeah, no, actually,

824
00:39:13,440 --> 00:39:17,040
Speaker 1: this is how we should separate this, especially as a family.

825
00:39:17,320 --> 00:39:20,440
Speaker 1: But this communist kid does I think what Bernie Sanders

826
00:39:20,480 --> 00:39:24,759
Speaker 1: would do if he was in control the other I can't, guy,

827
00:39:24,760 --> 00:39:27,800
Speaker 1: I can't fly on commercial air lines. And I'm referencing

828
00:39:27,800 --> 00:39:29,959
Speaker 1: a video clip of Bernie Sanders, I believe, on Fox

829
00:39:30,040 --> 00:39:31,880
Speaker 1: News talking to Brett Bhaer. If you're not hit to

830
00:39:31,920 --> 00:39:34,200
Speaker 1: this story, Bernie Sanders and AFOC flying around the country

831
00:39:34,200 --> 00:39:36,799
Speaker 1: on private planes even though they're fighting the people that

832
00:39:37,560 --> 00:39:41,080
Speaker 1: use private planes, which is I don't know, irony at

833
00:39:41,120 --> 00:39:43,759
Speaker 1: its best. But the way he talks about is as well,

834
00:39:43,800 --> 00:39:47,080
Speaker 1: what am I gonna sit in United I got places

835
00:39:47,120 --> 00:39:49,839
Speaker 1: to be. We all have places to be. Bernie's that's

836
00:39:49,920 --> 00:39:51,759
Speaker 1: kind of the whole point. And the fact that you

837
00:39:51,840 --> 00:39:54,680
Speaker 1: decide you're gonna jump the line and take the other

838
00:39:54,840 --> 00:39:58,040
Speaker 1: person's part and snap it in half and not at

839
00:39:58,040 --> 00:40:00,480
Speaker 1: all sacrifice anything from your own pot.

840
00:40:00,840 --> 00:40:02,160
Speaker 9: Is kind of the whole reason.

841
00:40:01,880 --> 00:40:05,160
Speaker 1: Why we don't like you, folks. Look, if you want

842
00:40:05,200 --> 00:40:07,359
Speaker 1: things to be fair, make it fair. Now again, I'm

843
00:40:07,360 --> 00:40:09,839
Speaker 1: not not hitting this kid. The kid is doing something

844
00:40:09,880 --> 00:40:11,680
Speaker 1: I don't know. Acute and adorable and what he made

845
00:40:11,719 --> 00:40:15,080
Speaker 1: sense in his mind. But in life you should grow

846
00:40:15,200 --> 00:40:19,319
Speaker 1: up and eventually realize, oh yeah, this is a this

847
00:40:19,400 --> 00:40:23,799
Speaker 1: is unfair. And in socialist slash communist societies, well, the

848
00:40:23,840 --> 00:40:26,160
Speaker 1: only people that thrive are the people that are in control,

849
00:40:26,400 --> 00:40:28,919
Speaker 1: and they get rich while everyone else suffers and gets

850
00:40:28,960 --> 00:40:32,239
Speaker 1: their little half of the other people's allotment.

851
00:40:33,239 --> 00:40:33,520
Speaker 9: Wow.

852
00:40:33,600 --> 00:40:35,200
Speaker 1: Anyways, that's gonna do it for us here at Turning

853
00:40:35,200 --> 00:40:38,160
Speaker 1: Points tonight. Have a great Memorial weekend. The Charlie Kirk

854
00:40:38,200 --> 00:40:40,200
Speaker 1: Show is gonna take us out. We'll see you Monday,

855
00:40:40,239 --> 00:40:41,080
Speaker 1: same time, same place.

856
00:40:41,160 --> 00:40:56,000
Speaker 11: God bless America.

857
00:40:56,280 --> 00:40:58,120
Speaker 5: Today I have an amazing interview for you with my

858
00:40:58,160 --> 00:41:00,960
Speaker 5: good friend Bill Fetterer. He is a brilliant historian and

859
00:41:01,000 --> 00:41:04,240
Speaker 5: this interview is perfect for Memorial Day coming up. Enjoy

860
00:41:04,320 --> 00:41:06,760
Speaker 5: and email me your thoughts freedom at Charliekirk dot com

861
00:41:06,800 --> 00:41:09,760
Speaker 5: and make sure you subscribe to our podcast. Okay, everybody,

862
00:41:09,800 --> 00:41:12,200
Speaker 5: Today on the Charliekirk Show, we have an amazing guest

863
00:41:12,280 --> 00:41:15,040
Speaker 5: and friend of mine to talk about history how it

864
00:41:15,080 --> 00:41:18,560
Speaker 5: connects with current events, and that is Bill Federer, who

865
00:41:18,640 --> 00:41:21,759
Speaker 5: from Americanminute dot com. Bill, great to see you. You're

866
00:41:21,840 --> 00:41:25,400
Speaker 5: impeccably dressed as always. Thanks for taking the time, Charlie

867
00:41:25,440 --> 00:41:26,080
Speaker 5: Green to be with you.

868
00:41:26,520 --> 00:41:27,520
Speaker 9: So Bill, I want to.

869
00:41:27,440 --> 00:41:29,520
Speaker 5: Ask a couple questions, the first of which what is

870
00:41:29,520 --> 00:41:32,440
Speaker 5: the history of tariffs in America? The media makes it

871
00:41:32,480 --> 00:41:34,759
Speaker 5: seem as if we've never done this before. Have we

872
00:41:34,800 --> 00:41:37,239
Speaker 5: financed our government tariffs before? How did some of our

873
00:41:37,280 --> 00:41:40,080
Speaker 5: founding fathers think about tariffs? And how does that connect

874
00:41:40,120 --> 00:41:42,800
Speaker 5: to some of the news of President Trump using tariffs

875
00:41:42,800 --> 00:41:43,919
Speaker 5: as a negotiating tool.

876
00:41:44,840 --> 00:41:47,200
Speaker 10: Right for the first century and a half of our country,

877
00:41:47,200 --> 00:41:50,719
Speaker 10: that's how the federal government raised its money. So a

878
00:41:50,800 --> 00:41:57,080
Speaker 10: little background Industrial Revolution in England, cole was what they burned,

879
00:41:57,200 --> 00:41:59,319
Speaker 10: and they had cold mines that would fill up with water.

880
00:42:00,080 --> 00:42:04,279
Speaker 10: Seventeen sixty nine, Isaac Watt invented a steam pump to

881
00:42:04,400 --> 00:42:06,919
Speaker 10: get water out of coal mines and that quickly turned

882
00:42:06,920 --> 00:42:12,200
Speaker 10: into a steam engine that ran factories and wool. If

883
00:42:12,200 --> 00:42:14,560
Speaker 10: you look at it under a microscope, it has little

884
00:42:14,600 --> 00:42:17,400
Speaker 10: barbs that if you pull them, they hooked together and

885
00:42:17,440 --> 00:42:19,400
Speaker 10: get tighter. And so women would have to sit at

886
00:42:19,440 --> 00:42:22,279
Speaker 10: a spinning wheel and take this yarn and turn it

887
00:42:22,320 --> 00:42:25,239
Speaker 10: into thread and then make cloths. Well, factories could make

888
00:42:25,360 --> 00:42:29,680
Speaker 10: bolts of cloth really quick, really inexpensive, and so this

889
00:42:29,800 --> 00:42:33,560
Speaker 10: is called the Industrial Revolution. But the British did not

890
00:42:33,840 --> 00:42:37,760
Speaker 10: allow manufacturing in the colonies because they wanted to market.

891
00:42:38,640 --> 00:42:43,960
Speaker 10: And so when America becomes independent of Britain, the second

892
00:42:44,120 --> 00:42:49,280
Speaker 10: bill that George Washington signed as president was the Tariff

893
00:42:49,480 --> 00:42:52,480
Speaker 10: Act of seventeen eighty nine to put a five percent

894
00:42:52,640 --> 00:42:58,279
Speaker 10: tariff on all imports into America to make those factory

895
00:42:58,480 --> 00:43:03,480
Speaker 10: produced items from England more expensive, intentionally so that it

896
00:43:03,520 --> 00:43:08,080
Speaker 10: would provide a cushion for those manufacturing to begin in America.

897
00:43:08,800 --> 00:43:12,240
Speaker 10: Matter of fact, there was no income tax in America

898
00:43:12,640 --> 00:43:15,200
Speaker 10: until the Civil War. I'll get to that, and the

899
00:43:15,400 --> 00:43:20,560
Speaker 10: US Constitution specifically mentions that tariff taxes was the way

900
00:43:20,800 --> 00:43:24,200
Speaker 10: the federal government was going to get its income. Article one,

901
00:43:24,239 --> 00:43:28,840
Speaker 10: section eight authorizes the federal government to collect duties and imposts,

902
00:43:29,280 --> 00:43:32,920
Speaker 10: which are different terms for tariffs to pay the debts,

903
00:43:33,040 --> 00:43:35,800
Speaker 10: provide for the common defense and the general welfare of

904
00:43:35,840 --> 00:43:40,239
Speaker 10: the United States. So basically all federal money came from tariffs.

905
00:43:40,680 --> 00:43:44,280
Speaker 10: And so Alexander Hamilton, the first Secretary of the Treasury,

906
00:43:44,760 --> 00:43:49,120
Speaker 10: created the Coastguard to do what to catch ships that

907
00:43:49,120 --> 00:43:52,240
Speaker 10: were trying to smuggle stuff into America without paying the tariffs.

908
00:43:53,160 --> 00:43:55,480
Speaker 10: And so he's in charge of federal revenue. He's the

909
00:43:55,520 --> 00:43:59,080
Speaker 10: Secretary of Treasury. The fastest ships of the day were

910
00:43:59,080 --> 00:44:02,799
Speaker 10: called cutters, and so these were called revenue cutters. It

911
00:44:02,840 --> 00:44:05,080
Speaker 10: was the beginning of the Coast Guard. The Coastguard was

912
00:44:05,120 --> 00:44:11,760
Speaker 10: started to get collect tariffs. And so when the tariffs

913
00:44:11,800 --> 00:44:17,720
Speaker 10: began to work, Thomas Jefferson, the third President, stated April sixth,

914
00:44:17,760 --> 00:44:21,640
Speaker 10: eighteen sixteen, it may be the duty of all to

915
00:44:21,800 --> 00:44:24,840
Speaker 10: submit to this sacrifice to pay for a time and

916
00:44:25,320 --> 00:44:30,319
Speaker 10: impost on importation of certain articles in order to encourage

917
00:44:30,360 --> 00:44:33,960
Speaker 10: their manufacture at home. So it's like, look, everybody, we're

918
00:44:33,960 --> 00:44:35,520
Speaker 10: gonna have to pay a little bit extra if we

919
00:44:35,560 --> 00:44:37,960
Speaker 10: want these foreign goods. Why because we want to create

920
00:44:38,320 --> 00:44:40,799
Speaker 10: a margin so that people could take the risk and

921
00:44:40,840 --> 00:44:47,719
Speaker 10: start factories in America, and this was amazing. Instead of

922
00:44:47,800 --> 00:44:52,360
Speaker 10: women sitting at spitting yards, they could buy bolts of cloth.

923
00:44:52,480 --> 00:44:56,440
Speaker 10: Instead of going to a well and dragging buckets of

924
00:44:56,480 --> 00:45:00,040
Speaker 10: water into the house, they could have indoor plumbing. And

925
00:45:00,040 --> 00:45:04,680
Speaker 10: then we so basically the industrial revolution freed women up

926
00:45:05,200 --> 00:45:09,800
Speaker 10: from these menial tasks, and then they produced farm equipment,

927
00:45:10,280 --> 00:45:13,160
Speaker 10: and so instead of a farmer having the highre manual labor,

928
00:45:13,280 --> 00:45:17,560
Speaker 10: one machine could harvest a field. Instead of ladies using washtubs,

929
00:45:17,600 --> 00:45:21,479
Speaker 10: they could use a washer machine. And so this saw

930
00:45:21,520 --> 00:45:25,840
Speaker 10: the fastest rise in the standard of living in human history.

931
00:45:26,719 --> 00:45:30,319
Speaker 10: And between seventeen ninety two and eighteen twelve, tariffs went

932
00:45:30,400 --> 00:45:32,960
Speaker 10: up to twelve and a half percent. After the War

933
00:45:33,120 --> 00:45:35,680
Speaker 10: of eighteen twelve, tariffs went up to twenty five percent.

934
00:45:36,360 --> 00:45:39,399
Speaker 10: In eighteen twenty they were at forty percent, and near

935
00:45:39,480 --> 00:45:43,320
Speaker 10: the Civil War they were at sixty percent. Franklin Pierce,

936
00:45:43,719 --> 00:45:50,360
Speaker 10: the fourteenth President, said, December fifth, eighteen fifty three, Happily

937
00:45:50,760 --> 00:45:54,400
Speaker 10: I have no occasion to suggest any radical changes in

938
00:45:54,440 --> 00:45:58,160
Speaker 10: the financial policy of the government. Ours is almost, if

939
00:45:58,200 --> 00:46:03,759
Speaker 10: not absolutely, the solitary power of Christendom, having a surplus

940
00:46:03,760 --> 00:46:10,120
Speaker 10: of revenue drawn immediately from imposts on commerce. Here's Franklin

941
00:46:10,160 --> 00:46:12,799
Speaker 10: Pierce saying, Hey, we're like the only country in the

942
00:46:12,800 --> 00:46:14,920
Speaker 10: world and we have a surplus of money, and it's

943
00:46:14,960 --> 00:46:20,840
Speaker 10: all from tariff taxes. Ben Siegelman wrote in nineteen sixty

944
00:46:20,880 --> 00:46:26,360
Speaker 10: two in the commentary magazine article Tariff's, Kennedy Administration and

945
00:46:26,440 --> 00:46:30,400
Speaker 10: American Politics. He said, in the early years of the Republic,

946
00:46:30,600 --> 00:46:33,400
Speaker 10: all but about twenty thousand dollars of the four point

947
00:46:33,440 --> 00:46:38,040
Speaker 10: five million dollars of Treasury income stemmed from tariff levies.

948
00:46:38,719 --> 00:46:41,520
Speaker 10: Up to the Civil War, in fact, over ninety percent

949
00:46:41,640 --> 00:46:45,680
Speaker 10: of the federal government's receipts came from tariffs. It's unbelievable,

950
00:46:46,000 --> 00:46:50,520
Speaker 10: But the curveball is the majority of the tariffs were

951
00:46:50,520 --> 00:46:55,880
Speaker 10: collected at southern ports. So the South, like Charleston, South Carolina,

952
00:46:56,080 --> 00:47:00,439
Speaker 10: threatened many times to stop collecting the tariffs because they

953
00:47:00,800 --> 00:47:05,040
Speaker 10: were in a position as an agricultural area of having

954
00:47:05,080 --> 00:47:08,840
Speaker 10: to buy more expensive stuff from Europe or more expensive

955
00:47:08,880 --> 00:47:13,520
Speaker 10: stuff relatively from the northern factories. So the tariffs helped

956
00:47:13,520 --> 00:47:15,880
Speaker 10: the northern factories but really didn't help the South. So

957
00:47:15,960 --> 00:47:20,240
Speaker 10: when the Civil War started, the South held back their

958
00:47:20,280 --> 00:47:24,640
Speaker 10: tariff income and the federal government was like, uh, oh,

959
00:47:24,880 --> 00:47:30,120
Speaker 10: so Lincoln pushed through an emergency income tax, and it

960
00:47:30,239 --> 00:47:32,840
Speaker 10: raised seven hundred and fifty million dollars to finance the

961
00:47:33,000 --> 00:47:37,120
Speaker 10: Union during the Civil War. And after the war it

962
00:47:37,200 --> 00:47:40,799
Speaker 10: was repealed. No income tax. Why because the South is

963
00:47:40,840 --> 00:47:42,919
Speaker 10: now part of the Union and we can go back

964
00:47:42,960 --> 00:47:47,680
Speaker 10: to normal collecting tariffs at the southern ports. And so

965
00:47:47,880 --> 00:47:50,959
Speaker 10: this was the way it was up until the late

966
00:47:51,480 --> 00:47:56,160
Speaker 10: eighteen hundreds. It was ninety five percent tariffs. This is

967
00:47:56,200 --> 00:48:00,440
Speaker 10: what's called the Gilded Age, and