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Speaker 1: If Ai didn't scare the living bejeebis out of you before,

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Speaker 1: it sure will now. Also, the Chicoms have been coming

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Speaker 1: to our elite universities and then going back to China

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Speaker 1: and taking head spots in the Chinese Communist Party. And

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Speaker 1: also Disney is this is just so unfortunate. They're doing

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Speaker 1: layoffs and it happens to be a lot in the

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Speaker 1: entertainment department. I wonder what caused that. All that more

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Speaker 1: coming up on this episode of Turning Point Tonight. My

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Speaker 1: name is Jobob. Thanks so much for tuning in. Together.

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Speaker 1: We are charting the course of America's cultural comeback in

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Speaker 1: this is Turning Point Tonight. And before we get to

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Speaker 1: those stories in our fantastic panel, we got to talk

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Speaker 1: about the newest thing that lives are big mad about.

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Speaker 1: This is from our friends over at the Daily Wire

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Speaker 1: who dug into this. But President Trump and the Trump

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Speaker 1: administration are attempting to halt the Job Core program. And

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Speaker 1: of course, the well intentioned or at least the libs

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Speaker 1: would say, job Core program, how what a tragedy. People

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Speaker 1: are looking for jobs and they're part of a core

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Speaker 1: it's job Corps. Turns out, the Job Core program riddled

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Speaker 1: with lots of different controversies, was also extremely an extraordinarily unaffective, ineffective.

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Speaker 1: If you don't know, this Job Corp gets about two

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Speaker 1: billion dollars almost two billion dollars from federal funding, and

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Speaker 1: it's been around since nineteen sixty four. What it does

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Speaker 1: is it is it houses youth, troubled youth, x cons

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Speaker 1: high school dropouts, runaway teams from sixteen to twenty four

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Speaker 1: in government paid housing in attempt to get them a

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Speaker 1: ged or trade skills to go out and work in

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Speaker 1: the trades. Now, I think that's a great thing. Working

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Speaker 1: in the trades is a great idea. Not everybody needs

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Speaker 1: to go to college. So on its face it makes

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Speaker 1: a lot of sense. However, like so many things in

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Speaker 1: the federal government, once you do a little bit of digging,

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Speaker 1: you start to see, oh, so this is not actually working.

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Speaker 1: A huge percentage of the people who are in charge

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Speaker 1: of this program, our government contractors, and turns out, well,

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Speaker 1: they were cooking the books. According to actual data, American

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Speaker 1: Job Corps spends up to seven hundred and sixty four

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Speaker 1: thousand dollars per student if you want to call them

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Speaker 1: students or participate participant in the program, and then after

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Speaker 1: they get out of the job Corps. I guess the

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Speaker 1: good news is they will end up making on average

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Speaker 1: seventeen thousand dollars a year. In other words, it costs

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Speaker 1: more for the taxpayer to put somebody through job Corps

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Speaker 1: than it does to go to Harvard, and then on

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Speaker 1: the back end you make almost barely more than the

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Speaker 1: standard deduction. Holy cow, that's ineffective. On top of that,

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Speaker 1: according to the Daily Wire the last three years, more

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Speaker 1: than five hundred sexual assaults have been reported in facilities.

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Speaker 1: In the last three years, did I say three years?

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Speaker 1: Five years? Three years? In the last three years, forty

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Speaker 1: six hundred reported violent assaults in eight thousand drug related instances.

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Speaker 1: In other words, if you want to be a proponent

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Speaker 1: of the job Corp, that is totally fine. It is

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Speaker 1: not a safe program, it is not an effective program,

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Speaker 1: and it is not a good use of American tax

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Speaker 1: payer dollars, and therefore it should go bye bye. Here

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Speaker 1: to comment on that and so much more is Alex Sneine,

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Speaker 1: friend of the show and Chloe Casteele, conservative commentator. Guys,

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Speaker 1: thank you so much for joining us. Really appreciate you

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Speaker 1: taking the time. Thank for having us, Alex, I want

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Speaker 1: to start with you here again. Sounds good on its face.

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Speaker 1: There's there's a guy I forget his name, but he's

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Speaker 1: famous for saying sounds good doesn't work again. His name

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Speaker 1: will probably come to me at some point in the show.

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Speaker 1: But sounds like a well intentioned thing turned out was

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Speaker 1: wasting a lot of money and effectively not physically safe.

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Speaker 1: Is the Trump administration right to roll this back one percent?

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Speaker 2: Because you know, anything the federal government touches, they screw

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Speaker 2: up because the federal government is so incompetent.

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Speaker 3: So you know, seeing the job corps go this.

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Speaker 2: Is good and this is a more bloating wayte it

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Speaker 2: just needs to go. And that's so I was kind

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Speaker 2: of worried when Trump said that he was going to

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Speaker 2: reallocate two million dollars excuse me, two billion dollars from

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Speaker 2: Harvard and give it to trade schools. I was kind

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Speaker 2: of worried because they would probably mess that up. Is

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Speaker 2: in it to the wrong trade school or a damn

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Speaker 2: trade school in Afghanistan or something? You know, you know,

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Speaker 2: I don't think the Trump administration is going to waste

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Speaker 2: money on gender studies in Afghanistan and sup and stuff.

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Speaker 3: Like that.

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Speaker 2: But when it comes to this job corps, it's not

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Speaker 2: giving kids jobs, it's not teaching.

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Speaker 3: Kids the skills that they need to be successful.

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Speaker 2: You know, look at our private prison industries like they

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Speaker 2: are taking advantage of people. So anything connected to that,

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Speaker 2: like job corps and you know what, what is it

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Speaker 2: rehabilitating criminals.

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Speaker 3: It's usually just actually.

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Speaker 2: A way to take advantage of people that are, you know,

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Speaker 2: more vulnerable.

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Speaker 1: Yeah, and it really isn't fair to the people participating

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Speaker 1: in that. Yeah. And everything the federal government touches just

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Speaker 1: goes to crap. I think there's a Reagan quote. If

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Speaker 1: you put the federal government in charge of the Sahara Desert,

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Speaker 1: in five years, they'd run out of sand. Chloe. One

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Speaker 1: of the requirements to be in job Corps and this

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Speaker 1: feels like a disincentive to me is that you can't

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Speaker 1: be able to read above an eighth grade level. I mean,

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Speaker 1: look again, all about helping people out, I choose would

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Speaker 1: love to do it privately through church institutions and other

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Speaker 1: things like that, But this seems like a disincentive to

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Speaker 1: actually succeed in life, does it not?

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Speaker 4: Oh?

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Speaker 5: Absolutely, jobob and you know it's very frustrating, honestly, as

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Speaker 5: a young person to see how many ways, how many

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Speaker 5: various ways the government will try to dumb down my generation,

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Speaker 5: and they'll go through great links to make sure that

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Speaker 5: we are as uneducated and dependent on them as humanly possible.

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Speaker 5: And so this, I would say, one another great example

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Speaker 5: of that. And so it doesn't surprise me, honestly, I

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Speaker 5: think the federal government has been at this sort of

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Speaker 5: agenda for years. But I think it's great that President

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Speaker 5: Trump is scratching this and it's wonderful to see someone

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Speaker 5: in office plantaking a stand.

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Speaker 1: Yeah, Alex, you mentioned Harvard and the whole tribulations they're

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Speaker 1: going through at the moment. Part of that is President

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Speaker 1: Trump and Marco Rubio is saying, hey, the foreign students

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Speaker 1: things is got this is too much. A recent report

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Speaker 1: in the Wall Street Journal says that at Harvard. Harvard

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Speaker 1: is one of the top places that the Chai cooms

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Speaker 1: send their future leaders, even so much so that Jijen

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Speaker 1: Ping sent his daughter there when he was the second

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Speaker 1: in command, and then she graduated after he took power.

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Speaker 1: It feels like all of the turmoil around Harvard, the

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Speaker 1: libs are saying, oh, they're just picking on people that

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Speaker 1: don't agree with them. I don't know. With this kind

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Speaker 1: of report and showing that the Chinese Communist Party is

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Speaker 1: actively sending people here to get educated in America and

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Speaker 1: then take it back and then be a part of

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Speaker 1: our biggest adversary, it seems fairly reasonable. I feel like, I.

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Speaker 2: Don't understand how somebody could be so naive to think

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Speaker 2: that people wouldn't want to send their kids at the

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Speaker 2: number one school in the world, Harvard. I mean, so

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Speaker 2: obviously it's going to be an international school, so the

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Speaker 2: idea that international students are going to want to go there,

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Speaker 2: I mean, it's just if you don't understand that concept,

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Speaker 2: then you know, I just you're kind of slow, you know, really,

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Speaker 2: I don't know how to describe it, because this is

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Speaker 2: a problem though too.

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Speaker 3: With Harvard.

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Speaker 2: It's ultra competitive. The only people that get in there are,

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Speaker 2: like you said, basically these international foreign students. And that's

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Speaker 2: why I really don't like these everything schools of late schools,

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Speaker 2: and any American citizen that could get into Harvard could

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Speaker 2: get a full right scholarship to any state school, any

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Speaker 2: awesome state school in the country.

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Speaker 3: So I'm kind of against.

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Speaker 2: These Ivy League elite schools like that, I wouldn't want

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Speaker 2: to send my kid to Harvard.

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Speaker 1: Yeah, I think it would actually be a net negative

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Speaker 1: on your kid's overall future. Chloe, This I think is

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Speaker 1: interesting too. Harvard obviously says, well, no, we just welcome,

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Speaker 1: We welcome everybody. But a lot of the elite schools

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Speaker 1: love international students. Now, personally, I don't know a single

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Speaker 1: person that paid the full actual freight for college. People

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Speaker 1: get in state tuition reductions, they get scholarships or different things,

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Speaker 1: and sometimes it may be minimal. International students pay one

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Speaker 1: hundred percent of the tuition, and I have to believe

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Speaker 1: that that factors into the school's decision to take more

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Speaker 1: international students and be super bullish on international students, right,

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Speaker 1: I mean, that just makes sense. It's it seems like

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Speaker 1: a money and a greed thing to me.

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Speaker 5: Well, honestly, I would wonder where the money is coming

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Speaker 5: from to send them there from these from these foreign

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Speaker 5: countries as well, because honestly, I find it very interesting.

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Speaker 5: The Chinese and you know, in particular, I think have

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Speaker 5: a very high standard. We've seen where they're ranking in

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Speaker 5: the world as far as education goes, also as far

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Speaker 5: as art and entertainment and culture.

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Speaker 6: They value things like classical music, for example.

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Speaker 5: And it's interesting to see their students being sent over

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Speaker 5: here to Harvard and you know, one of the top

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Speaker 5: schools in the US, while you know, our students were

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Speaker 5: we're making sure that they're learning all about the LGBTQ

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Speaker 5: agenda and transgender furry time in their college campuses. So

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Speaker 5: I mean, not that Harvard is woke. I think it's

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Speaker 5: just interesting though. I mean, you know, where is the

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Speaker 5: funding coming from to send them there? I think it's

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Speaker 5: the course of money thing. You always follow the money.

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Speaker 5: You'll find out where you know where people are head at,

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Speaker 5: what their intentions are. But I think that it's very

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Speaker 5: interesting two things. One, you know, why are we prioritizing

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Speaker 5: our enemies education over our own I guess citizens?

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Speaker 6: And also where is that money coming from?

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Speaker 1: Yeah? No, the prioritizing foreign adversaries education seems really ridiculous.

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Speaker 1: I want to get to this really quick before we

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Speaker 1: have to take a break. Alex, I know you were

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Speaker 1: devastated when you were not cast as a dwarf in

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Speaker 1: Snow White because they chose to opt out of a

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Speaker 1: to use AI or to use a CGI I know

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Speaker 1: that was really heartbreaking for you, so therefore you didn't

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Speaker 1: see the movie. Everybody else on the planet did see

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Speaker 1: the snow White movie, and everyone loved it. Of course,

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Speaker 1: I'm getting it bombed at the box office. Alex Disney

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Speaker 1: or Disney's now saying they're going to do with the

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Speaker 1: fourth round of layoffs in ten months, many of it

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Speaker 1: coming from their TV and film department. Is this a win?

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Speaker 1: Have we won? Are we at least winning?

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Speaker 3: I mean, I would say, show what is this cliche?

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Speaker 3: You know, go woke, get broke, and now are going

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Speaker 3: a little broke.

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Speaker 2: But I don't understand how Disney could lose any money

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Speaker 2: considering I see all these cringe Disney park hoppers, plus

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Speaker 2: sized park coppers and the world other inside a Disney

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Speaker 2: and spend eight hundred dollars on food. I mean, the

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Speaker 2: fact that they're hurting financially doesn't make sense. So I

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Speaker 2: mean they are really being mismanaged.

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Speaker 3: They might be. Are they being run by the federal government?

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Speaker 3: I don't know.

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Speaker 2: But Walt Disney saw those six hundred pound women spend

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Speaker 2: one thousand dollars in his park on food, and then

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Speaker 2: he saw that they were losing money.

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Speaker 3: He would be spinning in as grade. He wouldn't understand.

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Speaker 1: Alex, I don't. I don't know if you know. I'm

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Speaker 1: not sure if you know that you stumbled. You possibly

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Speaker 1: have stumbled upon a revenue stream. Maybe they charged by

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Speaker 1: the pound for the plus sized park corvers. I don't know.

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Speaker 1: Just just a thought, Chloe, is this is this kind

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Speaker 1: of what we expect? Same question? Are we winning? Does

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Speaker 1: this mean we won the Culture Wars? This kind of

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Speaker 1: just a step in the right direction.

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Speaker 6: I'd say, a step in the right direction. I'm the

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Speaker 6: same guide.

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Speaker 5: You asked this because I get frustrated a loss with conservatives, honestly,

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Speaker 5: because you know, we're always talking about we see certain

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Speaker 5: things happen and we jump to yay, we won the

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Speaker 5: Culture Award.

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Speaker 6: It's like, you, guys, we have such a massified ahead

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Speaker 6: of us.

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Speaker 5: This should just be fueling our fight in and showing

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Speaker 5: us where we're stepping in the right direction here.

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Speaker 6: Not that it's over. It's far from over. Alex. That

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Speaker 6: was hilarious. I mean, I you know, I think it's interesting.

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Speaker 5: Also we see all these Disney adults, honestly, and it's like,

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Speaker 5: what is happening to the adults in America.

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Speaker 6: Why are we so childish?

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Speaker 5: Honestly, I think it's great to have, you know, to

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Speaker 5: love your childhood, but when it comes to this point

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Speaker 5: in life, it's like, why we have all these plus

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Speaker 5: size adults, you know, just binging Disney. It's very interesting

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Speaker 5: to me, and I think that that's one thing in

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Speaker 5: the culture war though, honestly, that we still have these

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Speaker 5: people who you know, want to be there and who

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Speaker 5: want to you know, spend their spend their day eating

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Speaker 5: churros on with you know, Mickey Mouse ears on at

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Speaker 5: like thirty plus years old.

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Speaker 6: That's concerning to me. I think that's a.

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Speaker 5: Sign that in our culture when you take more steps

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Speaker 5: beyond just saying Disney go broke in some way to

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Speaker 5: really take back our culture.

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Speaker 1: Yeah, have kids, and you will not have time to

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Speaker 1: go eat churros with Mickey Mouse. Here it's a Disney

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Speaker 1: lang or maybe once a year, and the priority will

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Speaker 1: be your kid. Alex and Chloe will be right back

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Speaker 1: after the break to discuss. I don't want to terrify you,

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Speaker 1: but you really should be terrified of this new study

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Speaker 1: or this new opinion piece in the Wall Street Journal

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Speaker 1: about AI and it's inability to delete itself. Don't go away.

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Speaker 1: We'll be right back after the break. Welcome back to

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

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Speaker 1: of America's cultural comeback. It is time to check in

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Speaker 1: with Turning Points. White House Correspondent Monica Page at the

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Speaker 1: White House, Monica, you know, this is one of those situations.

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Speaker 1: We're gonna talk about the Colorado terrorist here. This is

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Speaker 1: one of those There's a scene in Batman where Batman

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Speaker 1: says to Alfred, you know, you know how you always

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Speaker 1: love to say I told you so, And Alfred says, yeah,

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Speaker 1: but I don't want to be in that position. Effectively,

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Speaker 1: I don't want to say I told you so. This

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Speaker 1: seems exactly like one of those cases where conservatives are like, hey,

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Speaker 1: we told you this stuff is happening, and you know,

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Speaker 1: I don't want to be in a position where bad

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Speaker 1: things need to happen in order to say I told

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Speaker 1: you so. Give us the lowdown on what this guy

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Speaker 1: was is and those unfortunate I told you so moments.

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Speaker 4: Yeah, Unfortunately, that is the proper comparison that you're making,

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Speaker 4: Joe Bob. We know Mohammed Solomon is an Egyptian national,

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Speaker 4: and he came here on a tourist visa back in

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Speaker 4: twenty twenty two, where he ended up landing in Colorado

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Speaker 4: with his wife and five kids. He's charged with this

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Speaker 4: federal hate crime. He told investigators that he was planned

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Speaker 4: to kill everybody at this pro Israel rally. And what's

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Speaker 4: interesting is that this tourist visa that he came on

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Speaker 4: in twenty twenty two expired in February back in twenty

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Speaker 4: twenty three. Then he was granted this work permit that

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Speaker 4: was allegedly set to expire of March this year. He

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Speaker 4: worked as an uber driver previously, where he passed all

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Speaker 4: of his background CZECKSIE, including a criminal record background check

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Speaker 4: as well. And this is what's really interesting is also

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Speaker 4: respondents and those officials also allegedly found USAID paperwork in

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Speaker 4: his car when they were doing this investigation.

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Speaker 7: But this really opens up the biggest question.

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Speaker 4: Of just how many illegal aliens are here in this

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Speaker 4: country overstaying their visas. And what's unfortunate is that it's

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Speaker 4: very hard to pin down and track down the number

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Speaker 4: of exactly how many of those people. Apparently we're in

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Speaker 4: DHS data three hundred and fourteen thousand illegal Aliens have

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Speaker 4: been overstaying their work visa. About twenty four hundred of

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Speaker 4: them are of Egyptian descent from Egypt, So it'll be

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Speaker 4: interesting to see how this administration plans on tackling this issue.

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Speaker 4: And this is something that I predict is not going

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Speaker 4: to go away anytime soon. I mean, just imagine how

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Speaker 4: many have come into this country under the Biden administration.

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Speaker 4: This is just one of how many thousands, you.

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Speaker 1: Know, Yeah, and it's awful to see. Minken't. I don't think.

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Speaker 1: I don't as that you have the answer to this,

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Speaker 1: but I'm curious about your kind of thoughts around it. Right,

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Speaker 1: this guy comes in with his wife and five kids

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Speaker 1: on a tourist visa, which means he had to have

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Speaker 1: money from somewhere. And I'm questioning, Okay, well where did

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Speaker 1: that money come from? And if he had money to

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Speaker 1: get here but then didn't have money to stay and

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Speaker 1: therefore we needed to work from it and then getting

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Speaker 1: USAAD money, Like does the administration feel like does it

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Speaker 1: feel like they're intent on finding out all of those

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Speaker 1: kind of details, because I think that's symptomatic of a

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Speaker 1: obviously clearly a much bigger problem.

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Speaker 4: Absolutely and that's a great point. I mean, the devil

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Speaker 4: is in the detail. When you find out what exactly

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Speaker 4: is going on with this man, you can pretty much

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Speaker 4: uncover a common theme with however, many thousands as well.

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Speaker 7: So this is something that I think.

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Speaker 4: That administration is taking very seriously and unfortunately has come

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Speaker 4: down to this. I mean, experts have been predicting perhaps

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Speaker 4: October seventh style attacks here on our own soil just

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Speaker 4: because of how many just skeptical people are coming through

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Speaker 4: our southern border, not only souther board, but the northern border,

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Speaker 4: or flying them in.

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Speaker 7: I mean, it was a mess under the past administration.

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Speaker 4: So to try and figure this out and pin pieces together,

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Speaker 4: this is a massive puzzle at this point, especially when.

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Speaker 7: It comes to that you those USAID papers.

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Speaker 4: I think there's something up with that, and I'm very

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Speaker 4: curious to see how this administration will handle it.

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Speaker 1: Yeah, you and I both. I'm hoping they act aggressively

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Speaker 1: as they have been doing over the last couple months

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Speaker 1: they've been in office. Monica Page Stringpoints, White House Correspondent, Manica,

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Speaker 1: thank you so much for checking in well see tomorrow.

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Speaker 7: Thanks so much, jobob s tomorrow.

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Speaker 1: Thank you. Well, if you weren't terrified of artificial intelligence

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Speaker 1: and the robots taking over humanity as a whole. Yes,

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Speaker 1: should be, because there's a new opinion piece out in

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Speaker 1: the Wall Street Journal written by a CEO of one

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Speaker 1: of these AI companies saying, Hey, there's some really disturbing

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Speaker 1: things happening. Let's bring our panel back. Alex Stein Chloyd Castillo. Guys,

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Speaker 1: this is a little bit wild to me. This company

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Speaker 1: was attempting to shut down its AI program, or at

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Speaker 1: least this particular model, and seventy nine percent out of

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Speaker 1: the one hundred trials, seventy nine out of one hundred,

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Speaker 1: the machine rewrote its own internal code to not be

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Speaker 1: shut down. Then after they were explicitly told hey, no, no,

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Speaker 1: you have to be able to have your code authorize

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Speaker 1: you to be shut down. Still, in seven percent, almost

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Speaker 1: one in ten times, it figured out a way around

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Speaker 1: the human system to make sure that it wasn't shut down.

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Speaker 1: Even worse than that, in another AI model, Cloud four Opus.

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Speaker 1: I'm not super familiar with this, Alex. The researchers who

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Speaker 1: were studying whether or not the AI system could get

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Speaker 1: shut down or move said told the AI system, Hey,

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Speaker 1: we're going to potentially move to a different system, a

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Speaker 1: different model here, and the AI model then used emails

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Speaker 1: to try and blackmail the head researcher there into not

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Speaker 1: moving the AI models. I mean, this seems pretty terminator

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Speaker 1: esque to me. Are we scared about this? Should we

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Speaker 1: put the brakes on? Is there somebody who's calling out saying, hey,

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Speaker 1: this is this is a super big, big potential problem

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Speaker 1: we've got on our hands.

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Speaker 3: Well, I don't know if it's too late.

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Speaker 2: I mean, when I really think about my biggest fears

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Speaker 2: and I see the footage from the Ukraine War, I'm

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Speaker 2: almost more worried about like somebody putting a bomb on.

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Speaker 3: A drone and just like flying it over you.

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Speaker 2: You know, I see that, But that a lot of

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Speaker 2: that is AI, you know, the drones kind of flying itself.

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Speaker 2: But there's this theory where there's an uncanny valley where

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Speaker 2: the top telecommunications company have spent billions of dollars and

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Speaker 2: they do this testing where they try to convince a

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Speaker 2: human that they're not talking to a robot, like when

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Speaker 2: they want to do these call centers, they want to

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Speaker 2: be able to do it or it's just all AI,

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Speaker 2: but human beings can always figure it out. So my

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Speaker 2: point is like, AI will never be able to create

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Speaker 2: the same art. They will be able to create stuff

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Speaker 2: and it will be very similar, but like, they won't

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Speaker 2: be able to be the same as human. Does that

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Speaker 2: mean that they're not a threat? No, they're a huge

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Speaker 2: threat to our existence. But it's just kind of weird

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Speaker 2: that AI will never be human.

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Speaker 3: So I don't know.

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Speaker 2: I guess we could just defeed AI by turning off

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Speaker 2: the power. Maybe is that the only way we can

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Speaker 2: unplug it? I guess that's the only way that we

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Speaker 2: beat it. But other than that, I think we're pretty

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Speaker 2: much toast.

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Speaker 1: Yeah, I'm a proponent of unplugging the Internet. Chloe. My

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Speaker 1: biggest concern is that libs are going to try and

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Speaker 1: get AI to vote saying no, No, they are sentient

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Speaker 1: human beings and deserve the rights that American citizens have. Clay,

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Speaker 1: I don't know is this as concerning in your world

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Speaker 1: or to Alex's point, I do think that people will

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Speaker 1: seek out human made things. I find myself doing that

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Speaker 1: all the time, especially in the artistic world. How much

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Speaker 1: do we have to worry about this?

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Speaker 5: Well, you know, honestly, as far as voting goes, that

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Speaker 5: never even crossed my mind. So you have a new concern,

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Speaker 5: you know, for me to worry about now. Sorry, But

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Speaker 5: as far as art goes, you know, what Alex said is,

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Speaker 5: I think true people do want art that sounds like

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Speaker 5: it's a human creation. And honestly, one thing is concerning

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Speaker 5: to me isn't so much the AI is the fact

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Speaker 5: that the actual art that we do have out there,

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Speaker 5: the artists who are producing music in particular these days,

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Speaker 5: it's getting more and more and more and more electronically

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Speaker 5: focused and you know, centered around things that are harder

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Speaker 5: to differentiate between actual human art and just computerization of everything.

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Speaker 6: So to me it's kind of interesting.

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Speaker 5: Honestly, maybe the you know, the powers that be are

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Speaker 5: trying to shift us to being more I guess, accepting

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Speaker 5: of this kind of sound, and then we're not going

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Speaker 5: to be able to tell the difference.

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Speaker 6: I don't know, maybe not managed, just like my conspiracy.

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Speaker 5: But you know, I think it's interesting when you look

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Speaker 5: at the art these days, how agenda ridden it is,

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Speaker 5: and how I guess unartistic in a lot of ways

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Speaker 5: as well.

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Speaker 6: So that's a concern on my end of things.

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Speaker 1: I guess, yeah, I my vote would be to unplug

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Speaker 1: the Internet. I'm not sure if that's somebody you have

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Speaker 1: to call, if President Trump could do it, but I

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Speaker 1: think is unfortunately been in that negative and this this

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Speaker 1: really concerns me. Speaking of things that concern me, the

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Speaker 1: types of people that are able to be in the

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Speaker 1: Secret Service, or at least got hired during past administration, Alex.

436
00:21:02,119 --> 00:21:05,359
Speaker 1: This happened last week, but we haven't been meeting together

437
00:21:05,400 --> 00:21:08,080
Speaker 1: as a as a group of viewers and TV show

438
00:21:08,560 --> 00:21:12,560
Speaker 1: for a little while. But clip out of the Obama residence.

439
00:21:12,840 --> 00:21:14,560
Speaker 1: I think it's like seven seconds. Let's play this clip

440
00:21:14,600 --> 00:21:18,320
Speaker 1: really quick of some Secret Service agents that are about

441
00:21:18,320 --> 00:21:25,439
Speaker 1: to fight. It looks like that's yeah, two female Secret

442
00:21:25,440 --> 00:21:29,080
Speaker 1: Service offices outside of in the middle of the night,

443
00:21:29,200 --> 00:21:34,040
Speaker 1: outside of the Obama's residence, in a tussle over there. Alex.

444
00:21:34,160 --> 00:21:36,960
Speaker 1: It seems to me that if you're the type of

445
00:21:36,960 --> 00:21:39,320
Speaker 1: person that can't keep their cool, you should not be

446
00:21:39,400 --> 00:21:42,520
Speaker 1: in the Secret Service? In other words, is this all

447
00:21:42,600 --> 00:21:44,560
Speaker 1: DEI hires? And then I guess even further than that,

448
00:21:45,040 --> 00:21:48,199
Speaker 1: is President Trump assigning all of the DEI hires that

449
00:21:48,240 --> 00:21:51,679
Speaker 1: got hired under the passive administration to the Bidens and

450
00:21:51,720 --> 00:21:53,879
Speaker 1: the Obamas. Is that what's going on here? I don't know.

451
00:21:54,720 --> 00:21:57,119
Speaker 2: Well, Donald Trump would be a genius to do that,

452
00:21:57,280 --> 00:21:59,480
Speaker 2: but you know, I wouldn't be surprised. Now we know

453
00:21:59,560 --> 00:22:01,600
Speaker 2: we're I'm a chef, is you know maybe it was

454
00:22:01,600 --> 00:22:04,320
Speaker 2: one of the Secret Service members I took out Obama's chef.

455
00:22:04,359 --> 00:22:05,520
Speaker 3: I mean, you see how you know?

456
00:22:06,160 --> 00:22:09,560
Speaker 2: And that's just no disrespect to female cops. Female cops,

457
00:22:09,560 --> 00:22:11,920
Speaker 2: are you know they want to shoot first, asked questions later?

458
00:22:12,040 --> 00:22:14,960
Speaker 2: So if I had a female Secret Service agent, oh

459
00:22:15,040 --> 00:22:16,440
Speaker 2: my god, I mean, I might as well just get

460
00:22:16,480 --> 00:22:17,720
Speaker 2: the gun and shoot myself.

461
00:22:17,400 --> 00:22:18,960
Speaker 3: At that point. I mean, you know, you're you're not

462
00:22:19,000 --> 00:22:20,280
Speaker 3: going to really have much protection.

463
00:22:20,440 --> 00:22:23,120
Speaker 2: So good for Donald Trump if this is this five

464
00:22:23,200 --> 00:22:25,720
Speaker 2: D chess where he's putting all the DEI hires and

465
00:22:25,760 --> 00:22:27,720
Speaker 2: all the people that are on like you know, multiple

466
00:22:27,760 --> 00:22:30,160
Speaker 2: prescription medication to be the people that protect Obama.

467
00:22:30,600 --> 00:22:33,119
Speaker 3: God bless his soul. He really is truly the greatest

468
00:22:33,160 --> 00:22:34,440
Speaker 3: commander in chief of all time.

469
00:22:35,440 --> 00:22:37,560
Speaker 1: Yeah, that's again, we're not thrown shade at the Secret

470
00:22:37,560 --> 00:22:39,679
Speaker 1: Service who earned their way there. It's just part of

471
00:22:39,760 --> 00:22:42,440
Speaker 1: highlighting the fact that, like, hey, if there are DEI

472
00:22:42,520 --> 00:22:47,160
Speaker 1: hires in the top perspective protective authority in this country,

473
00:22:47,280 --> 00:22:50,439
Speaker 1: of our our dignitaries and officials that that would be

474
00:22:50,480 --> 00:22:52,639
Speaker 1: a problem. Chloe, Well, I don't know, what do you

475
00:22:52,640 --> 00:22:53,040
Speaker 1: think is this?

476
00:22:53,240 --> 00:22:53,439
Speaker 4: Is this?

477
00:22:54,359 --> 00:22:57,560
Speaker 1: Is this something that we're gonna see often. Again, nobody

478
00:22:57,560 --> 00:23:00,320
Speaker 1: wants anything bad to happen, nobody's suggesting that at all,

479
00:23:00,359 --> 00:23:04,280
Speaker 1: But I don't know. Some some mishaps, some some brawls

480
00:23:04,320 --> 00:23:07,159
Speaker 1: over maybe it was a man who knows what they

481
00:23:07,200 --> 00:23:09,639
Speaker 1: were fighting about, is something we're gonna see more. If

482
00:23:09,680 --> 00:23:11,920
Speaker 1: that is the case, President Trump is putting a DEI

483
00:23:12,000 --> 00:23:15,240
Speaker 1: Secret Service agents on the people that hired them.

484
00:23:16,080 --> 00:23:17,680
Speaker 6: I think it'd be pretty darn funy. Honestly, I think

485
00:23:17,680 --> 00:23:18,280
Speaker 6: it'd be hilarious.

486
00:23:18,320 --> 00:23:20,879
Speaker 5: I love to see it if we found out that

487
00:23:20,920 --> 00:23:22,960
Speaker 5: our president was doing, you know, props to him for that,

488
00:23:23,800 --> 00:23:26,879
Speaker 5: but you know, it is ridiculous thing. Honestly, women in

489
00:23:26,920 --> 00:23:29,280
Speaker 5: these positions, and as a woman myself, I am a

490
00:23:29,320 --> 00:23:32,520
Speaker 5: proponent of you know, women not being the first option

491
00:23:32,640 --> 00:23:34,680
Speaker 5: to hire when it comes to the Secret Service. And again,

492
00:23:35,280 --> 00:23:37,320
Speaker 5: like Alex said earlier, you know, no shade to female

493
00:23:37,359 --> 00:23:40,199
Speaker 5: cops at all and those who have worked themselves up

494
00:23:40,240 --> 00:23:42,880
Speaker 5: to these kind of positions, but these DEI hires where

495
00:23:42,880 --> 00:23:45,919
Speaker 5: it's just a matter of you know, there's some you

496
00:23:45,960 --> 00:23:47,879
Speaker 5: know woman somewhere and it's like, okay, you know what,

497
00:23:47,960 --> 00:23:49,800
Speaker 5: I want to be a DEI hire here, and so

498
00:23:50,119 --> 00:23:51,719
Speaker 5: it's an easy end for a lot of people. I

499
00:23:51,760 --> 00:23:56,040
Speaker 5: guess people know each other, and you know, it's honestly

500
00:23:56,880 --> 00:23:58,879
Speaker 5: really tiring. I guess as a young woman to be

501
00:23:58,920 --> 00:24:01,640
Speaker 5: seeing somebody's issues that you know they see women can't

502
00:24:01,680 --> 00:24:02,920
Speaker 5: drive those kind of stereotypes.

503
00:24:03,040 --> 00:24:04,960
Speaker 6: But you see stuff like this and I'm sorry, it's

504
00:24:05,000 --> 00:24:05,399
Speaker 6: just true.

505
00:24:05,560 --> 00:24:08,160
Speaker 5: You don't need women in the Secret Service, you know, Honestly,

506
00:24:08,200 --> 00:24:10,680
Speaker 5: in my personal opinion here, I would love to see

507
00:24:10,680 --> 00:24:13,440
Speaker 5: an all male Secret Service. I think there's a there's

508
00:24:13,440 --> 00:24:16,639
Speaker 5: something to the stereotypes and maybe hey, what happens to

509
00:24:16,680 --> 00:24:18,320
Speaker 5: be just fallen for a while and maybe let all

510
00:24:18,320 --> 00:24:21,280
Speaker 5: the DEI hires do their time with the Obamas.

511
00:24:21,840 --> 00:24:24,360
Speaker 1: Yeah, I don't know that. Seems like Alex I saw

512
00:24:24,359 --> 00:24:27,280
Speaker 1: that grin you were gonna make a woman driving joke.

513
00:24:27,320 --> 00:24:31,280
Speaker 1: I thank you for not making well now women.

514
00:24:31,119 --> 00:24:34,320
Speaker 2: Can drive, no, But I mean it's Sam Hide's joke though.

515
00:24:34,359 --> 00:24:36,640
Speaker 2: You know, every female cop they all want to reach

516
00:24:36,640 --> 00:24:38,520
Speaker 2: for their pepper spray, and for some reason they all

517
00:24:38,520 --> 00:24:39,640
Speaker 2: accidentally reach for their gun.

518
00:24:39,680 --> 00:24:40,960
Speaker 3: And shoot the suspect.

519
00:24:41,000 --> 00:24:44,320
Speaker 2: But I don't know why that happens. I don't know

520
00:24:44,359 --> 00:24:47,480
Speaker 2: why that's a stereotype. But you know, maybe some stereotypes

521
00:24:47,520 --> 00:24:47,840
Speaker 2: are true.

522
00:24:47,880 --> 00:24:51,360
Speaker 1: I don't know. Yeah, just from a physicality standpoint, let's

523
00:24:51,359 --> 00:24:53,159
Speaker 1: just even go there. Just from like a hey, men

524
00:24:53,200 --> 00:24:55,720
Speaker 1: are bigger and stronger. It can do more agile things.

525
00:24:55,800 --> 00:24:57,680
Speaker 1: And that's what would joke Bob.

526
00:24:57,960 --> 00:25:00,280
Speaker 2: Women don't get drafted, so people want to say, I mean,

527
00:25:00,440 --> 00:25:04,000
Speaker 2: I mean, so they're not eligible to get drafted.

528
00:25:03,600 --> 00:25:06,119
Speaker 3: So then they shouldn't, you know, be they can be

529
00:25:06,119 --> 00:25:06,960
Speaker 3: female costs.

530
00:25:06,720 --> 00:25:08,639
Speaker 2: So they should be like behind a desk or something,

531
00:25:08,640 --> 00:25:12,120
Speaker 2: you know what I mean, not out there busting skulls.

532
00:25:12,160 --> 00:25:14,600
Speaker 1: In my opinion, yeah, this is all all comes back

533
00:25:14,600 --> 00:25:16,760
Speaker 1: to physicality, which is why we have such an issue

534
00:25:16,760 --> 00:25:20,280
Speaker 1: with the whole transgender dudes in sports. It's kind of

535
00:25:20,280 --> 00:25:23,760
Speaker 1: all ties together, I think. Alex Stein, Chloyd Castillo, guys,

536
00:25:23,800 --> 00:25:25,600
Speaker 1: thanks so much for joining us. Really appreciate you taking

537
00:25:25,600 --> 00:25:26,000
Speaker 1: the time.

538
00:25:27,359 --> 00:25:29,080
Speaker 3: Thanks you come out.

539
00:25:29,119 --> 00:25:31,240
Speaker 1: Next, We've got a fantastic clip from Alex Clark's Culture

540
00:25:31,280 --> 00:25:34,160
Speaker 1: Apothecary podcast produced by Turning Point USA. Don't go away,

541
00:25:34,200 --> 00:25:40,880
Speaker 1: We'll be right back after the break.

542
00:25:46,040 --> 00:25:49,440
Speaker 8: What does it mean to have a good light diet?

543
00:25:49,880 --> 00:25:53,159
Speaker 9: So a light diet is I love that term because

544
00:25:53,600 --> 00:25:56,679
Speaker 9: I think light is more important than food and exercise

545
00:25:57,119 --> 00:26:01,919
Speaker 9: more important, more important because we know, here's the definitive

546
00:26:01,960 --> 00:26:04,600
Speaker 9: study that proved this twenty seventeen. They took mice, so

547
00:26:04,600 --> 00:26:06,280
Speaker 9: they always take mice because they don't it's hard to

548
00:26:06,320 --> 00:26:08,240
Speaker 9: experiment on humans and try to give them cancer. That's

549
00:26:08,240 --> 00:26:11,280
Speaker 9: really a bad idea. So they took mice and they

550
00:26:11,680 --> 00:26:14,480
Speaker 9: fed them the same diet, so same calories in, and

551
00:26:14,520 --> 00:26:17,080
Speaker 9: they had them exercise the same amount, so they were

552
00:26:17,080 --> 00:26:19,920
Speaker 9: doing same calories in, same calories out. And people say

553
00:26:20,080 --> 00:26:23,520
Speaker 9: losing weight is about calories in calories out right, that's

554
00:26:23,560 --> 00:26:26,960
Speaker 9: not true because they had the same exact mice. They

555
00:26:26,960 --> 00:26:29,200
Speaker 9: had the same calories in, same calories out. They measured

556
00:26:29,359 --> 00:26:31,400
Speaker 9: like all of these things in the lab. But one

557
00:26:31,400 --> 00:26:34,280
Speaker 9: set of mice had twenty four hours of light and

558
00:26:34,320 --> 00:26:36,520
Speaker 9: the other set of mice had twelve hours of darkness

559
00:26:36,720 --> 00:26:40,080
Speaker 9: and twelve hours of light, no other difference. The mice

560
00:26:40,119 --> 00:26:43,399
Speaker 9: that had twenty four hours of light became obese, and

561
00:26:43,480 --> 00:26:47,280
Speaker 9: the mice that got twelve hours of darkness were normal weight.

562
00:26:47,600 --> 00:26:50,560
Speaker 9: And so that study alone proves that light is a

563
00:26:50,680 --> 00:26:54,760
Speaker 9: drug and that light can actually make you fat, and

564
00:26:54,800 --> 00:26:57,359
Speaker 9: so going on a light diet actually will help you

565
00:26:57,440 --> 00:26:57,960
Speaker 9: lose weight.

566
00:26:58,119 --> 00:27:00,400
Speaker 8: So if somebody were to come to you, I guess

567
00:27:00,400 --> 00:27:02,240
Speaker 8: that he is and be like, you know, I'm really struggling.

568
00:27:02,280 --> 00:27:03,960
Speaker 8: Losing weight is one of the first questions you're asking

569
00:27:03,960 --> 00:27:05,160
Speaker 8: them about their light habits.

570
00:27:05,560 --> 00:27:08,280
Speaker 9: Absolutely. And so I have a really good friend and

571
00:27:08,320 --> 00:27:10,320
Speaker 9: he's a bioacker, so he knows all the stuff, he's

572
00:27:10,320 --> 00:27:12,800
Speaker 9: certified and all these things right, and he couldn't lose

573
00:27:12,920 --> 00:27:15,040
Speaker 9: his last forty five pounds. It's a lot of weight.

574
00:27:15,440 --> 00:27:19,000
Speaker 9: And he tried everything, like every diet whatever, and he's like,

575
00:27:19,320 --> 00:27:21,760
Speaker 9: he called me one day and he's like Thattys, I

576
00:27:21,840 --> 00:27:24,479
Speaker 9: lost forty five pounds in six weeks. I was like,

577
00:27:25,280 --> 00:27:28,680
Speaker 9: what did you do? And he says, I finally did

578
00:27:28,720 --> 00:27:31,240
Speaker 9: what you told me to do. I got outside every

579
00:27:31,320 --> 00:27:33,919
Speaker 9: day at dawn and I started wearing blue light blocking

580
00:27:33,920 --> 00:27:36,840
Speaker 9: glasses and I didn't change anything else, and I lost

581
00:27:36,920 --> 00:27:37,760
Speaker 9: forty five pounds.

582
00:27:37,800 --> 00:27:39,960
Speaker 10: Your kid, he didn't change anything else, nothing else.

583
00:27:40,040 --> 00:27:43,760
Speaker 8: Okay, somebody, like my audience, if you are somebody who's

584
00:27:43,760 --> 00:27:45,680
Speaker 8: been on this weight lost journey, and like nothing has worked.

585
00:27:45,720 --> 00:27:48,240
Speaker 8: I want you to try this and tell us, like

586
00:27:48,280 --> 00:27:51,000
Speaker 8: if this actually works, because this is so fascinating. How

587
00:27:51,040 --> 00:27:53,439
Speaker 8: does the wrong light mess with our hormones?

588
00:27:53,800 --> 00:27:58,640
Speaker 9: It's because our body reads blue light, and blue light

589
00:28:00,080 --> 00:28:03,880
Speaker 9: increases cortisol. It keeps us awaken alert. That's awesome. During

590
00:28:03,920 --> 00:28:06,480
Speaker 9: the day, we want high cortisol, we want to be

591
00:28:06,480 --> 00:28:09,560
Speaker 9: awaken alert. But cortisol, as everybody knows, is a stress.

592
00:28:09,600 --> 00:28:12,520
Speaker 9: It's the hormone of stress. Its stress hormone. You don't

593
00:28:12,520 --> 00:28:14,600
Speaker 9: want it at night. So when we see blue light

594
00:28:14,640 --> 00:28:17,240
Speaker 9: at night, and again people think, oh, I don't see

595
00:28:17,240 --> 00:28:20,000
Speaker 9: any blue light, Well, your tablet, your television, your laptop,

596
00:28:20,080 --> 00:28:22,720
Speaker 9: your phone, and the overhead lights are blue lights, even

597
00:28:22,760 --> 00:28:24,600
Speaker 9: if they're incandescence. So let's just say, like you went

598
00:28:24,640 --> 00:28:27,080
Speaker 9: away from LEDs and you put in incandescence, those still

599
00:28:27,119 --> 00:28:30,600
Speaker 9: destroy fifty percent of your melatonin from the blue that's present.

600
00:28:31,040 --> 00:28:33,160
Speaker 9: So when we see blue light at night, I mean,

601
00:28:33,200 --> 00:28:37,280
Speaker 9: the fact of our biology is we have melanops and receptors.

602
00:28:37,320 --> 00:28:39,600
Speaker 9: These are receptors in our eye that read blue light

603
00:28:39,960 --> 00:28:42,120
Speaker 9: and when they see it, they tell the body it's

604
00:28:42,200 --> 00:28:46,040
Speaker 9: daytime and to increase cortisol and destroy melatonin. So we're

605
00:28:46,120 --> 00:28:49,160
Speaker 9: increasing our stress at night when we want to go

606
00:28:49,200 --> 00:28:53,640
Speaker 9: to sleep and destroying the hormone called melatonin that is

607
00:28:53,680 --> 00:28:58,040
Speaker 9: the body's master anti cancer hormone. When you destroy melatonin,

608
00:28:58,480 --> 00:29:02,320
Speaker 9: melatonin is what sets what we're hungry for. So when

609
00:29:02,320 --> 00:29:06,600
Speaker 9: we see light late into the night, our body makes

610
00:29:06,640 --> 00:29:09,640
Speaker 9: us crave sugar and carbs. It makes us do that.

611
00:29:09,680 --> 00:29:12,520
Speaker 9: We're biologically engineered to do that when we see blue

612
00:29:12,560 --> 00:29:14,880
Speaker 9: light at night because we think it's going to be

613
00:29:14,920 --> 00:29:16,840
Speaker 9: winter soon and we need to put on fat, so

614
00:29:16,880 --> 00:29:21,000
Speaker 9: we become more stressed, we become more anxious. It messes

615
00:29:21,040 --> 00:29:23,680
Speaker 9: with our insulin. It keeps our insulin high when we

616
00:29:23,720 --> 00:29:26,000
Speaker 9: see blue light at night, Our insulin stays high because

617
00:29:26,000 --> 00:29:28,440
Speaker 9: it wants to pull every bit of carbohydrate and sugar

618
00:29:28,440 --> 00:29:31,200
Speaker 9: into fat for the coming winter. And the problem is

619
00:29:31,240 --> 00:29:33,560
Speaker 9: we never turn the lights out all year round, so

620
00:29:33,600 --> 00:29:37,160
Speaker 9: we keep storing this fat for winter. With high insulin

621
00:29:37,720 --> 00:29:40,520
Speaker 9: and high cortisol, both of those things reduce the amount

622
00:29:40,520 --> 00:29:43,760
Speaker 9: of melatonin, which is cleaning up all our cells. The

623
00:29:43,800 --> 00:29:47,000
Speaker 9: other thing it does is it stops the production of leptin,

624
00:29:47,560 --> 00:29:49,720
Speaker 9: and leptin is a hormone when we wake up that

625
00:29:49,840 --> 00:29:52,800
Speaker 9: makes us hungry for breakfast, which is a good circadian

626
00:29:52,840 --> 00:29:56,000
Speaker 9: time to eat. So a lot of the community in

627
00:29:56,040 --> 00:29:58,680
Speaker 9: the health and wellness space says, like skip breakfast.

628
00:29:58,280 --> 00:29:59,160
Speaker 10: Right, and you disagree?

629
00:29:59,240 --> 00:30:02,800
Speaker 9: I completely di agree. Breakfast is probably the most important

630
00:30:02,800 --> 00:30:05,520
Speaker 9: thing and the largest meal of the day should be

631
00:30:05,560 --> 00:30:10,040
Speaker 9: your breakfast. Oh, we're biologically designed to have a bigger

632
00:30:10,080 --> 00:30:15,600
Speaker 9: breakfast because that sets our circadian rhythm. So light in

633
00:30:15,720 --> 00:30:18,960
Speaker 9: meal timing set your circadian rhythm, and it starts this

634
00:30:19,160 --> 00:30:22,440
Speaker 9: clock in our body. And the clock says after seeing

635
00:30:22,480 --> 00:30:25,320
Speaker 9: the sun rise and having a meal, we should produce

636
00:30:25,360 --> 00:30:27,120
Speaker 9: melatonin in sixteen hours.

637
00:30:27,280 --> 00:30:29,320
Speaker 8: So if you are somebody who wakes up every morning

638
00:30:29,360 --> 00:30:32,120
Speaker 8: and you're never hungry for breakfast, your body is telling

639
00:30:32,160 --> 00:30:32,560
Speaker 8: you what.

640
00:30:32,800 --> 00:30:34,479
Speaker 9: Your body is telling you that you have a broken

641
00:30:34,680 --> 00:30:37,840
Speaker 9: leptin system because your circadian rhythm is broken.

642
00:30:37,960 --> 00:30:40,360
Speaker 8: So at nighttime when the sun is setting, are you

643
00:30:40,640 --> 00:30:43,760
Speaker 8: in the winter putting lighting fireplays? Are you only using

644
00:30:43,800 --> 00:30:45,800
Speaker 8: candles in the house or using some lamps or what

645
00:30:45,800 --> 00:30:46,200
Speaker 8: do you do?

646
00:30:46,360 --> 00:30:48,160
Speaker 9: The best thing to do at night when it gets

647
00:30:48,240 --> 00:30:50,880
Speaker 9: dark is to not have any lights and go to bed.

648
00:30:51,040 --> 00:30:53,240
Speaker 9: No one's going to do that, So the next best

649
00:30:53,240 --> 00:30:55,800
Speaker 9: thing you can do is candles and fire. So we

650
00:30:56,400 --> 00:30:58,960
Speaker 9: put in a wood burning stove in our home. We

651
00:30:59,000 --> 00:31:01,120
Speaker 9: live in Wisconsin. It gets in the winter, so we

652
00:31:01,160 --> 00:31:03,360
Speaker 9: do have a fire every single night in the winter.

653
00:31:04,000 --> 00:31:06,720
Speaker 9: We do use candles whenever we can. But let's face it,

654
00:31:06,760 --> 00:31:08,520
Speaker 9: like sometimes I need to be on the laptop or

655
00:31:08,560 --> 00:31:11,120
Speaker 9: sometimes like you need more than a candle to cook dinner,

656
00:31:11,400 --> 00:31:15,160
Speaker 9: And I think nobody should be eating after dark. There

657
00:31:15,240 --> 00:31:18,800
Speaker 9: have been numerous studies that show eating after dark causes

658
00:31:18,840 --> 00:31:21,640
Speaker 9: weight gain every single time and disrupts circadian rhythm.

659
00:31:21,640 --> 00:31:22,560
Speaker 10: Which time do you eat in.

660
00:31:22,520 --> 00:31:24,640
Speaker 9: The winter, We eat at four pm.

661
00:31:24,680 --> 00:31:27,880
Speaker 8: Four pm. The only other person I know that eats

662
00:31:27,920 --> 00:31:29,520
Speaker 8: that freaking early for dinner.

663
00:31:29,280 --> 00:31:30,120
Speaker 10: Is Howard Stern.

664
00:31:30,240 --> 00:31:32,040
Speaker 9: Oh my gosh, Howard Stern.

665
00:31:32,160 --> 00:31:34,520
Speaker 8: Because he is a morning show host and so he

666
00:31:34,560 --> 00:31:37,520
Speaker 8: eats dinner at like four pm. And I just know

667
00:31:37,560 --> 00:31:39,200
Speaker 8: that about him because I used to work in morning

668
00:31:39,280 --> 00:31:41,760
Speaker 8: radio and I've always thought that was so fascinating. I

669
00:31:41,760 --> 00:31:44,400
Speaker 8: could never get on his level. But oh my gosh,

670
00:31:44,400 --> 00:31:47,880
Speaker 8: that is so early. So then, so breakfast is how

671
00:31:47,960 --> 00:31:48,800
Speaker 8: soon after you wake up?

672
00:31:48,880 --> 00:31:52,520
Speaker 9: Breakfast should be within thirty minutes of seeing the sunrise.

673
00:31:52,720 --> 00:31:55,200
Speaker 8: Okay, so you go outside and do sunrise stuff first,

674
00:31:55,320 --> 00:31:56,520
Speaker 8: then immediately.

675
00:31:56,000 --> 00:31:59,120
Speaker 9: Eat the sunrise tells your body to start producing testosterone

676
00:31:59,120 --> 00:32:02,120
Speaker 9: from an estrogen women to start your circading clock for

677
00:32:02,160 --> 00:32:04,680
Speaker 9: the day, and then to allow you to be hungry

678
00:32:04,720 --> 00:32:05,600
Speaker 9: for breakfast, okay.

679
00:32:05,640 --> 00:32:07,640
Speaker 8: And then what time is lunch? And how big of

680
00:32:07,640 --> 00:32:08,440
Speaker 8: a lunch are you eating?

681
00:32:08,640 --> 00:32:10,760
Speaker 9: I had a pretty big lunch, so in my opinion,

682
00:32:11,520 --> 00:32:14,880
Speaker 9: breakfast like a king, lunch like a prince or princess,

683
00:32:15,040 --> 00:32:19,200
Speaker 9: and then dinner like a popper. Okay, so big, medium, small, Okay.

684
00:32:19,480 --> 00:32:21,760
Speaker 9: The best time to fast would be dinner, not breakfast.

685
00:32:21,920 --> 00:32:23,520
Speaker 10: And what time is lunchtime?

686
00:32:24,200 --> 00:32:26,760
Speaker 9: Solar noon, it can be any time between ten thirty

687
00:32:26,800 --> 00:32:27,200
Speaker 9: and one.

688
00:32:27,200 --> 00:32:27,840
Speaker 6: Thirty, okay.

689
00:32:28,080 --> 00:32:29,560
Speaker 10: And then dinner is at.

690
00:32:29,440 --> 00:32:31,760
Speaker 9: Four in the winter. In the summer, dinner can be

691
00:32:31,760 --> 00:32:33,760
Speaker 9: at six or seven pm because it's still light out.

692
00:32:34,520 --> 00:32:37,400
Speaker 9: So in Wisconsin, in the Midwest and the North, we

693
00:32:37,440 --> 00:32:40,520
Speaker 9: eat with the sun. So when the sun is up

694
00:32:40,600 --> 00:32:43,040
Speaker 9: until nine pm, you can eat up until eight pm.

695
00:32:43,400 --> 00:32:45,240
Speaker 9: You know you really want to finish dinner, but three

696
00:32:45,240 --> 00:32:47,719
Speaker 9: to four hours before bed if possible, okay, to get

697
00:32:47,760 --> 00:32:49,600
Speaker 9: the best sleep doing what you do.

698
00:32:49,680 --> 00:32:51,640
Speaker 8: And like this is your entire life's work is light

699
00:32:51,640 --> 00:32:53,480
Speaker 8: and circading rhythms and all of this, I mean everyone

700
00:32:53,520 --> 00:32:55,440
Speaker 8: in your life knows that this is your thing. So

701
00:32:55,520 --> 00:32:58,920
Speaker 8: does that mean that occasionally you do accept dinner bag

702
00:32:59,400 --> 00:33:02,320
Speaker 8: dinner invitationations for seven pm? Or does nobody invite you

703
00:33:02,360 --> 00:33:04,080
Speaker 8: out that late because they're like, you won't come, or

704
00:33:04,080 --> 00:33:04,640
Speaker 8: what happens?

705
00:33:04,640 --> 00:33:05,719
Speaker 10: Like do you make exceptions?

706
00:33:06,000 --> 00:33:09,120
Speaker 9: We do make exceptions. So breaking bread with family and

707
00:33:09,160 --> 00:33:12,239
Speaker 9: friends is really important, and let's face it, in our

708
00:33:12,280 --> 00:33:14,920
Speaker 9: modern society, it's going to happen. We do try to

709
00:33:14,920 --> 00:33:17,880
Speaker 9: minimize that though, Like, honestly, if you're having a meal

710
00:33:17,920 --> 00:33:21,280
Speaker 9: with friends and family and it's a social environment and

711
00:33:21,360 --> 00:33:25,959
Speaker 9: you're relaxed, it can be really healing. So we do

712
00:33:26,160 --> 00:33:28,959
Speaker 9: have less of those that happen though, because honestly, like

713
00:33:29,320 --> 00:33:32,080
Speaker 9: it is inconvenient to go to bed with the sun

714
00:33:32,200 --> 00:33:35,000
Speaker 9: and to eat with the sun, but cancer and obesity

715
00:33:35,040 --> 00:33:38,040
Speaker 9: are also pretty inconvenient for your social life. So we

716
00:33:38,200 --> 00:33:41,320
Speaker 9: really try to limit the amount that we do things

717
00:33:41,360 --> 00:33:41,560
Speaker 9: like that.

718
00:33:43,360 --> 00:33:52,440
Speaker 11: And immediately nobodys thought about you, who's just twenty four

719
00:33:52,480 --> 00:33:54,800
Speaker 11: to seven flooding the zone, back to my thirteen year

720
00:33:54,800 --> 00:33:57,720
Speaker 11: old owning this space every day, getting a convert and

721
00:33:57,720 --> 00:34:01,120
Speaker 11: then I'm thinking about we're gonna stand back and watch

722
00:34:01,200 --> 00:34:03,120
Speaker 11: you run circles around us.

723
00:34:03,240 --> 00:34:05,960
Speaker 12: He said it best at Turning Point USA, where relentless

724
00:34:06,000 --> 00:34:10,320
Speaker 12: we're changing minds on campuses every semester, defending conservative values

725
00:34:10,560 --> 00:34:13,960
Speaker 12: and fighting for America's future. Your donation helps keep us

726
00:34:13,960 --> 00:34:17,520
Speaker 12: on campus. Join the movement and donate to TPUSA today.

727
00:34:19,480 --> 00:34:21,279
Speaker 1: Welcome back to Turning Point tonight. That is right. You

728
00:34:21,320 --> 00:34:24,719
Speaker 1: can find anything Turning Point is doing TURNINGPOINTUSA dot com

729
00:34:24,760 --> 00:34:27,239
Speaker 1: TPUSA dot com. You can find out about all the

730
00:34:27,239 --> 00:34:31,040
Speaker 1: fantastic events this month. The YWLS Young Women's Leadership Summit

731
00:34:31,080 --> 00:34:33,799
Speaker 1: is coming to Dallas, Texas. You can't go if you're

732
00:34:33,840 --> 00:34:35,799
Speaker 1: a man, but if you're not a man, it's a

733
00:34:35,840 --> 00:34:39,400
Speaker 1: fantastic event you should consider attending. TPUSA dot com. You

734
00:34:39,400 --> 00:34:41,440
Speaker 1: can also find out about the Student Action Summit that's

735
00:34:41,440 --> 00:34:44,360
Speaker 1: happening in Tampa in conjunction with the Turning Point Academy

736
00:34:44,560 --> 00:34:47,320
Speaker 1: Educator Summit. Holy cout. Turningpoint is doing so much. You

737
00:34:47,360 --> 00:34:50,440
Speaker 1: can find out about everything at tpusa dot com. You

738
00:34:50,440 --> 00:34:53,239
Speaker 1: can also email the show TPT at tpusa dot com.

739
00:34:53,280 --> 00:34:55,480
Speaker 1: We love hearing from you. Whether you agree with everything

740
00:34:55,520 --> 00:34:58,080
Speaker 1: we say or you're wrong, doesn't matter. Send an email

741
00:34:58,120 --> 00:35:01,279
Speaker 1: to the Show TPT at TPUSA. Now I know we

742
00:35:01,440 --> 00:35:03,560
Speaker 1: say to email every time, but I really would like

743
00:35:03,840 --> 00:35:07,920
Speaker 1: your emails on what you think about what we're about

744
00:35:07,920 --> 00:35:10,000
Speaker 1: to do. Let me know if this is something that

745
00:35:10,040 --> 00:35:11,839
Speaker 1: you'd like to see more of, if you think this

746
00:35:11,880 --> 00:35:13,640
Speaker 1: is interesting, or if you're like, now I go back

747
00:35:13,640 --> 00:35:17,200
Speaker 1: to showing the libs doing lib things on the internet

748
00:35:17,200 --> 00:35:19,520
Speaker 1: because you Usually we'll react to some videos, we'll show you,

749
00:35:19,560 --> 00:35:21,719
Speaker 1: guys some of the crazy stuff that the libs are doing,

750
00:35:21,880 --> 00:35:23,920
Speaker 1: But in this particular case, I wanted to give you

751
00:35:23,960 --> 00:35:26,399
Speaker 1: a deep look into what people have to deal with

752
00:35:26,440 --> 00:35:31,400
Speaker 1: myself on threads. Threads is the Facebook offshoot of Twitter

753
00:35:31,560 --> 00:35:36,160
Speaker 1: or x and it is a cesspool of total lib

754
00:35:36,200 --> 00:35:41,120
Speaker 1: progressive insanity. Now, I don't like necessarily publicizing kind of

755
00:35:41,160 --> 00:35:43,120
Speaker 1: the back and forth people have on the internet. I

756
00:35:43,160 --> 00:35:46,040
Speaker 1: don't know if that's super compelling, but again, let me

757
00:35:46,080 --> 00:35:49,080
Speaker 1: know if you think otherwise. Tpt at TPUSA dot com.

758
00:35:49,520 --> 00:35:53,000
Speaker 1: Over the weekend, Senator Corey Booker of New Jersey was

759
00:35:53,040 --> 00:35:56,600
Speaker 1: in California giving a speech and in that speech, after

760
00:35:56,640 --> 00:36:00,480
Speaker 1: he was done, he made a very very unfre fortunate

761
00:36:00,800 --> 00:36:05,960
Speaker 1: racist and probably white supremacist hand gesture. Watch this slowed down.

762
00:36:06,120 --> 00:36:13,040
Speaker 1: This is Senator Booker just being awful. Now we all

763
00:36:13,080 --> 00:36:15,960
Speaker 1: know what this hand gesture is. It is clear, it

764
00:36:16,040 --> 00:36:20,560
Speaker 1: is evident, it is abundantly obvious to anyone with eyeballs

765
00:36:20,920 --> 00:36:28,320
Speaker 1: that Corey Booker obviously clearly is a Nazi sympathizer, or

766
00:36:28,360 --> 00:36:30,839
Speaker 1: at least that's what they said when Elon Musk did

767
00:36:30,880 --> 00:36:34,520
Speaker 1: a very similar hand gesture. Now I posted a video

768
00:36:34,920 --> 00:36:38,280
Speaker 1: effectively saying the same thing. Hey, libs, are we freaking

769
00:36:38,320 --> 00:36:41,200
Speaker 1: out about the fact that Corey Booker is doing a

770
00:36:41,320 --> 00:36:45,560
Speaker 1: Nazi salute? Now? I was clearly kidding. Everybody is kidding.

771
00:36:45,600 --> 00:36:49,879
Speaker 1: Nobody should be taking any of this seriously, because if

772
00:36:49,960 --> 00:36:53,000
Speaker 1: the contention that you're making that Elon Musk did a

773
00:36:53,200 --> 00:36:56,799
Speaker 1: Nazi salute, what you're saying is that he, the most

774
00:36:57,200 --> 00:36:59,800
Speaker 1: the richest man in the world, has hid his n

775
00:37:00,040 --> 00:37:03,440
Speaker 1: Nazi sympathies from the entire planet for so long. He

776
00:37:03,480 --> 00:37:06,120
Speaker 1: does he does these types of salutes in his spare time.

777
00:37:06,160 --> 00:37:10,600
Speaker 1: He loves it. But for some reason, on the biggest

778
00:37:10,640 --> 00:37:13,400
Speaker 1: stage he's ever had, at the presidential inauguration, he just

779
00:37:13,480 --> 00:37:17,319
Speaker 1: let it slip and you the progressives caught him in

780
00:37:17,360 --> 00:37:22,000
Speaker 1: the act. Or it's just an awkward ogrin hand boch,

781
00:37:22,600 --> 00:37:27,160
Speaker 1: because that's exactly what it was. Now the joke is that, well,

782
00:37:27,280 --> 00:37:30,200
Speaker 1: anytime the Libs do it, now, that makes them a Nazi,

783
00:37:30,200 --> 00:37:32,640
Speaker 1: which is what we're joking about with Corey Booker. In

784
00:37:32,719 --> 00:37:36,359
Speaker 1: this particular instance, I posted that to threads and the

785
00:37:36,400 --> 00:37:41,160
Speaker 1: comments section was hilarious. These are some of the comments

786
00:37:41,160 --> 00:37:44,799
Speaker 1: that the Libs left, apparently not knowing that we were

787
00:37:44,920 --> 00:37:49,160
Speaker 1: mocking them for their own insanity. First is this. This

788
00:37:49,360 --> 00:37:53,320
Speaker 1: is a series of comments that were left. Fingers are spread,

789
00:37:53,480 --> 00:37:56,319
Speaker 1: arm isn't fully extended? Bad form for a salute? Good

790
00:37:56,360 --> 00:37:58,080
Speaker 1: form if it's a wave to a crowd member that

791
00:37:58,160 --> 00:38:02,520
Speaker 1: he knew we're talking about the form. That's that's what

792
00:38:02,560 --> 00:38:04,480
Speaker 1: we're talking about. Okay, you missed the fact that this

793
00:38:04,600 --> 00:38:06,360
Speaker 1: was a joke and the fact that we were mocking you.

794
00:38:06,400 --> 00:38:09,920
Speaker 1: That one over your head. But we're it's a form problem.

795
00:38:09,960 --> 00:38:12,400
Speaker 1: Go to that second graphic. It's another form. This is

796
00:38:12,400 --> 00:38:15,600
Speaker 1: a consistent theme that was going through. Really doesn't seem

797
00:38:15,680 --> 00:38:20,160
Speaker 1: so obvious. I see clear differences between what he did

798
00:38:20,200 --> 00:38:26,640
Speaker 1: and what Ela did. Close hand, hard gesture, upward, other nuances. Again,

799
00:38:26,760 --> 00:38:29,920
Speaker 1: sir or ma'am or they them not entirely sure. I

800
00:38:29,960 --> 00:38:33,040
Speaker 1: don't want to assume your gender, especially considering that you're

801
00:38:33,080 --> 00:38:36,680
Speaker 1: posting stuff like that. Is is that it? It's again

802
00:38:37,120 --> 00:38:39,200
Speaker 1: not the fact that we're making fun of you. You're

803
00:38:39,400 --> 00:38:43,800
Speaker 1: you're basing your argument on the form of this salute. Again,

804
00:38:44,080 --> 00:38:47,799
Speaker 1: good luck with that one. It gets even crazier as

805
00:38:47,840 --> 00:38:51,560
Speaker 1: we go on. Man, the brain rot he's talking about

806
00:38:51,560 --> 00:38:55,320
Speaker 1: the brain rot from us the Conservatives is getting super bad.

807
00:38:55,400 --> 00:38:58,080
Speaker 1: If you guys are still simping for Leon, this hard.

808
00:38:58,200 --> 00:39:00,920
Speaker 1: My brain rod has gotten so bad. I've thought it.

809
00:39:00,920 --> 00:39:03,760
Speaker 1: He's spelled elon this entire time. It's only four letters.

810
00:39:04,120 --> 00:39:05,920
Speaker 1: I guess I don't know. My brain rod has gotten

811
00:39:05,920 --> 00:39:09,040
Speaker 1: so bad that I guess I can't even spell Leon's

812
00:39:09,080 --> 00:39:13,040
Speaker 1: name correctly, which apparently that's what he's called. Uh, let's

813
00:39:13,040 --> 00:39:15,440
Speaker 1: continue on down the list. We'll move quickly here. This

814
00:39:15,480 --> 00:39:17,359
Speaker 1: is where I think it's fascinating. Why don't you play

815
00:39:17,400 --> 00:39:21,560
Speaker 1: the whole clip? Nice try though. Next one says, Uh, cool,

816
00:39:21,640 --> 00:39:23,719
Speaker 1: How you need to cut it extremely tight and slow

817
00:39:23,760 --> 00:39:25,840
Speaker 1: it down to make it look like he's not not

818
00:39:25,920 --> 00:39:29,400
Speaker 1: look like he's waving. Next one continues, Uh, if you

819
00:39:29,480 --> 00:39:31,719
Speaker 1: watch the whole video, it isn't edited. It cuts short.

820
00:39:31,880 --> 00:39:33,879
Speaker 1: His hand's clearly waving. Then he calls me some very

821
00:39:34,000 --> 00:39:36,480
Speaker 1: mean words, says some says some very knotty words, and

822
00:39:36,480 --> 00:39:39,080
Speaker 1: even uses the R word, which is not okay, and

823
00:39:39,120 --> 00:39:43,120
Speaker 1: then the last one, which is uh, there's there's a

824
00:39:43,160 --> 00:39:45,719
Speaker 1: whole video that shows that's taken out of context and

825
00:39:46,000 --> 00:39:54,000
Speaker 1: or deliberately deliberately manipulating people. Awesome. I hope that libs

826
00:39:54,280 --> 00:39:58,040
Speaker 1: start to recognize that context. Two things matter. Remember when uh,

827
00:39:58,080 --> 00:40:01,400
Speaker 1: the whole talking points of good people on both sides,

828
00:40:01,520 --> 00:40:06,719
Speaker 1: even President Obama said that totally misleading and manipulated information.

829
00:40:07,360 --> 00:40:11,200
Speaker 1: One they're judging it on the form that's crazy. Two

830
00:40:11,360 --> 00:40:14,919
Speaker 1: they don't know that we're mocking them. And three they

831
00:40:15,000 --> 00:40:19,480
Speaker 1: want something that we've been clamoring about forever. However, I say, no,

832
00:40:19,960 --> 00:40:36,880
Speaker 1: this is what I actually think is happening. Yep, it's clarifying.

833
00:40:38,160 --> 00:40:43,239
Speaker 1: We're not going to joke here, we are. That's that's

834
00:40:43,280 --> 00:40:45,919
Speaker 1: what it is. He's a he's a black white supremacist.

835
00:40:46,920 --> 00:40:48,799
Speaker 1: Thanks guys so much for doing it. Charle's gonna take

836
00:40:48,840 --> 00:40:50,439
Speaker 1: us ou. We'll see it tomorrow, same time, Save place,

837
00:40:50,640 --> 00:40:52,040
Speaker 1: God bless America.

838
00:40:52,800 --> 00:41:02,400
Speaker 12: Okay, everybody, welcome to the Charlie Kirks Show. Very exciting

839
00:41:02,480 --> 00:41:06,600
Speaker 12: guest here today, someone that is changing the world. It

840
00:41:06,640 --> 00:41:10,920
Speaker 12: is doctor Patrick Sunshiong, founder and executive chairman of Immunity

841
00:41:10,960 --> 00:41:15,360
Speaker 12: Bio and executive chairman of the Los Angeles Times. Doctor,

842
00:41:15,440 --> 00:41:16,320
Speaker 12: welcome to the program.

843
00:41:16,360 --> 00:41:16,960
Speaker 1: Great to see you.

844
00:41:17,719 --> 00:41:20,040
Speaker 13: Thank you, Charlie. Good seeing you so.

845
00:41:20,520 --> 00:41:20,880
Speaker 1: Doctor.

846
00:41:21,040 --> 00:41:23,080
Speaker 12: I see you all over the place. I'm watching the news.

847
00:41:23,080 --> 00:41:25,680
Speaker 12: I see you in Saudi Arabia, I see you in Qatar.

848
00:41:25,760 --> 00:41:27,440
Speaker 12: I see you with the President of the United States.

849
00:41:28,000 --> 00:41:30,880
Speaker 12: You are a surgeon who has dedicated fifty plus years

850
00:41:30,920 --> 00:41:35,000
Speaker 12: to researching cancer. What is your main message about what

851
00:41:35,040 --> 00:41:37,359
Speaker 12: you have learned that you want the American people to

852
00:41:37,400 --> 00:41:38,160
Speaker 12: know about cancer?

853
00:41:39,239 --> 00:41:43,360
Speaker 13: Well, thank you for that opportunity, Charlie. I think you know.

854
00:41:43,400 --> 00:41:47,640
Speaker 13: I spent fifty years trying to unravel why we haven't

855
00:41:47,640 --> 00:41:51,120
Speaker 13: won this war, and it turns out we have the

856
00:41:51,200 --> 00:41:54,359
Speaker 13: key in our body. It's called a natural killer sell

857
00:41:55,400 --> 00:41:59,319
Speaker 13: And what has happened is nobody's figured out way to

858
00:41:59,480 --> 00:42:02,360
Speaker 13: turn on that natural killer cell in your body because

859
00:42:02,400 --> 00:42:06,520
Speaker 13: your body is a factory. God gave us this natural

860
00:42:06,600 --> 00:42:10,400
Speaker 13: killer cell to kill not only cancer, to kill infection.

861
00:42:11,880 --> 00:42:14,720
Speaker 13: And what is exciting, after thirty years of my life,

862
00:42:15,360 --> 00:42:18,600
Speaker 13: we found the key that could unlock this natural killer cell.

863
00:42:18,640 --> 00:42:21,239
Speaker 13: With the jab which we now called the BioShield.

864
00:42:22,520 --> 00:42:24,719
Speaker 12: Tell us more about that, and then, so is your

865
00:42:24,760 --> 00:42:29,560
Speaker 12: main message this that cancer isn't bad genes or something

866
00:42:29,560 --> 00:42:32,800
Speaker 12: that's necessarily wrong with mutations, but is it your immune

867
00:42:32,800 --> 00:42:33,520
Speaker 12: system failing.

868
00:42:34,800 --> 00:42:37,319
Speaker 13: That's exactly right, I saying, you know, I was, as

869
00:42:37,360 --> 00:42:39,800
Speaker 13: you said, I was in Saudi Arabia with the president,

870
00:42:39,880 --> 00:42:42,960
Speaker 13: and I was at Qatar and I met with the

871
00:42:42,960 --> 00:42:46,360
Speaker 13: Saudi Arabian regularity authorities and then given them all my information.

872
00:42:47,239 --> 00:42:53,880
Speaker 13: They made an astounding insightful statement that doctor Sun Shong,

873
00:42:54,239 --> 00:42:57,960
Speaker 13: what you've figured out is that your immune system is

874
00:42:58,000 --> 00:43:02,920
Speaker 13: a disease, meaning the loss of the natural killer cells,

875
00:43:03,360 --> 00:43:07,239
Speaker 13: and cancer happens just to be a symptom. And never

876
00:43:07,320 --> 00:43:09,920
Speaker 13: have we treated the root cause eye e. The disease,

877
00:43:10,880 --> 00:43:14,120
Speaker 13: which is the depletion of the natural killer cells in

878
00:43:14,160 --> 00:43:18,920
Speaker 13: your body. And I said, wow, you really understood this,

879
00:43:19,040 --> 00:43:24,279
Speaker 13: You really got it. What is even more disconcerting is

880
00:43:24,320 --> 00:43:29,640
Speaker 13: there understanding now that when we give high dose chemotherapy,

881
00:43:30,320 --> 00:43:34,080
Speaker 13: when we give high dose radiation, thinking that we're helping

882
00:43:34,160 --> 00:43:39,160
Speaker 13: the cancer patient, we actually wiping out the natural killer

883
00:43:39,200 --> 00:43:44,759
Speaker 13: cell and are then surprised that the patient gets metastasis

884
00:43:44,800 --> 00:43:48,120
Speaker 13: and spread and say we can't cure it. We have

885
00:43:48,239 --> 00:43:51,000
Speaker 13: not been treating the actual root cause of the disease,

886
00:43:51,040 --> 00:43:56,440
Speaker 13: which is the immune system or the history of medicine.

887
00:43:56,920 --> 00:44:00,760
Speaker 12: So let me try to just ask it a question

888
00:44:00,800 --> 00:44:04,000
Speaker 12: that I know our audience has A is it true

889
00:44:04,040 --> 00:44:07,040
Speaker 12: that cancer rates are going up with young people in particular?

890
00:44:07,160 --> 00:44:10,400
Speaker 12: And b what is causing that? At least anecdotally, doctor,

891
00:44:10,880 --> 00:44:12,759
Speaker 12: I know people that I went to high school with

892
00:44:12,800 --> 00:44:14,960
Speaker 12: in my local community that are thirty five and thirty

893
00:44:14,960 --> 00:44:18,719
Speaker 12: six years old in Chicago. They're getting colon cancer. They're

894
00:44:18,719 --> 00:44:21,879
Speaker 12: getting cancers at a very young age. Is it true

895
00:44:21,880 --> 00:44:23,680
Speaker 12: that cancer rates are going up? Or is that just

896
00:44:23,840 --> 00:44:26,400
Speaker 12: media hysteria? And if true, what is causing that?

897
00:44:28,000 --> 00:44:30,480
Speaker 13: Tell you ask exactly the right questions. That's why I

898
00:44:30,560 --> 00:44:33,319
Speaker 13: was in Saudi Arabia. You know, sixty percent of the

899
00:44:33,320 --> 00:44:38,440
Speaker 13: population they are under thirty and your audience, the college audience,

900
00:44:39,040 --> 00:44:42,719
Speaker 13: is something that I am very worried about, meaning the

901
00:44:42,760 --> 00:44:45,560
Speaker 13: following I have now beginning to see the cancer rate's

902
00:44:45,560 --> 00:44:47,760
Speaker 13: not only going up, but going up in younger people.

903
00:44:48,400 --> 00:44:52,160
Speaker 13: I have never seen a ten year old with colon cancer.

904
00:44:52,800 --> 00:44:56,080
Speaker 13: I've never seen a thirteen year old with metastatic pancreatic

905
00:44:56,160 --> 00:44:59,800
Speaker 13: cancer in my life. We are now seeing ovarian cancers

906
00:44:59,800 --> 00:45:03,120
Speaker 13: in twenty twenty one year olds. Yes, it is ridiculous.

907
00:45:03,200 --> 00:45:06,080
Speaker 13: What's going on? And I call that turbo cancers? And

908
00:45:07,560 --> 00:45:10,160
Speaker 13: you and I can delve into it, how we can

909
00:45:10,200 --> 00:45:15,200
Speaker 13: delve into it? Because I worry and your audience are

910
00:45:15,239 --> 00:45:20,120
Speaker 13: now more aware and smarter and sophisticated with the social

911
00:45:20,120 --> 00:45:22,360
Speaker 13: media to understand this is a real phenomenon.

912
00:45:23,640 --> 00:45:24,120
Speaker 1: Yes it is.

913
00:45:24,160 --> 00:45:25,960
Speaker 12: And so what would you say, is one of the

914
00:45:26,000 --> 00:45:29,480
Speaker 12: main reasons that we're missing why this is happening? The

915
00:45:29,480 --> 00:45:32,160
Speaker 12: immune system is failing. Is that have anything to do

916
00:45:32,239 --> 00:45:35,279
Speaker 12: with happening post COVID that actually getting COVID? Is it

917
00:45:35,360 --> 00:45:38,120
Speaker 12: something that we are eating? Is it a failure of

918
00:45:38,160 --> 00:45:42,080
Speaker 12: the pharmaceutical companies? Because I can't imagine a thirty six

919
00:45:42,160 --> 00:45:44,560
Speaker 12: year old friend of mine who you know, he bikes,

920
00:45:44,560 --> 00:45:48,880
Speaker 12: he regularly exercises, he moderately drinks, he gets colon cancer

921
00:45:48,920 --> 00:45:52,239
Speaker 12: at age thirty six. This is we're supposed to be

922
00:45:52,239 --> 00:45:55,799
Speaker 12: getting healthier, doctor. The promise of modernity was that every

923
00:45:55,880 --> 00:45:58,239
Speaker 12: year we'd get healthier. But it seems as if we're

924
00:45:58,239 --> 00:45:58,920
Speaker 12: getting sicker.

925
00:46:00,520 --> 00:46:03,000
Speaker 13: So it is a combination of all Charlie, let's delve

926
00:46:03,040 --> 00:46:07,719
Speaker 13: into it. First of all, we now suffering the long

927
00:46:07,800 --> 00:46:09,840
Speaker 13: term effects of all the toxins you're write. What we

928
00:46:09,920 --> 00:46:13,320
Speaker 13: eat is the dyes and everything has been talked about

929
00:46:14,040 --> 00:46:18,840
Speaker 13: with Secretary Robbie Kennedy. The dyes that we eat, the

930
00:46:18,920 --> 00:46:22,480
Speaker 13: issues the toxins, the pfat, the p fax which is

931
00:46:22,520 --> 00:46:25,439
Speaker 13: actually used and how believed in it's fertilizers, but it's

932
00:46:25,600 --> 00:46:27,640
Speaker 13: what they call these never chemicals, but it's in our

933
00:46:27,640 --> 00:46:31,440
Speaker 13: milk and it's our so called organic foods. But then

934
00:46:31,520 --> 00:46:34,640
Speaker 13: you compound that with two things I worry about. One

935
00:46:34,680 --> 00:46:40,560
Speaker 13: is electromagnet really the magnetic radiation that is happening. I

936
00:46:40,560 --> 00:46:42,600
Speaker 13: don't know if you realize that our pilots in the

937
00:46:42,680 --> 00:46:46,799
Speaker 13: military that's up in the air here are getting high

938
00:46:46,920 --> 00:46:51,760
Speaker 13: risk earlier of prostate cancer and bladder cancer. The idea

939
00:46:51,960 --> 00:46:56,239
Speaker 13: that now when you get down to COVID, that the COVID,

940
00:46:56,360 --> 00:46:59,120
Speaker 13: whether it be from the vaccine or from the infection,

941
00:47:00,480 --> 00:47:05,080
Speaker 13: the covid virus, if it persists in your body, is

942
00:47:05,200 --> 00:47:10,040
Speaker 13: highly immune suppressive. So if you have the combination of

943
00:47:10,120 --> 00:47:13,000
Speaker 13: the wiping out of your immune system and at the

944
00:47:13,040 --> 00:47:16,759
Speaker 13: same time the immune suppression of whatever you have, you

945
00:47:16,880 --> 00:47:21,240
Speaker 13: now begin seeing this rise of cancer, colon cancer, pancreatic cancer,

946
00:47:21,320 --> 00:47:26,680
Speaker 13: variant cancer, breast cancer, and very interestingly enough, I'm seeing

947
00:47:26,680 --> 00:47:32,799
Speaker 13: so called rare tumors. They're no longer rare cleoblastomers. So

948
00:47:34,239 --> 00:47:38,920
Speaker 13: all these issues now coming to bear, and that's why

949
00:47:38,960 --> 00:47:43,480
Speaker 13: I'm so excited by the discussions we had both with

950
00:47:43,560 --> 00:47:50,080
Speaker 13: the President and his team as well as with the

951
00:47:50,160 --> 00:47:57,400
Speaker 13: senior leaders at Saudi Arabia and Qatar who desperately want

952
00:47:57,520 --> 00:48:01,600
Speaker 13: to bring this spy shield to the world. Se