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Speaker 1: Morning.

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Speaker 2: You're about to enter the arena and join the Battle

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Speaker 2: to Save.

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Speaker 3: America with your host Sean Parnell.

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Speaker 4: Good evening, America, Welcome to Battleground Live. This is the

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Speaker 4: show where we kick ass, we take names, we lockhorns

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Speaker 4: with the radical left. We never quit, we never surrender.

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Speaker 4: From sea to shining Sea and everybody in between. Welcome

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Speaker 4: Patriots on this glorious Friday. Boy, it's great to be that.

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Speaker 4: This was a long week, wasn't it. It's great. It's

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Speaker 4: thank god it's Friday. Right. Listen, folks, The hits just

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Speaker 4: keep on coming for Kamala Harris. It can't help but

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Speaker 4: think that Kamala Harris and her campaign is a sinking ship.

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Speaker 4: I told you yesterday after having my name on the

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Speaker 4: ballot a couple of different times, and have done this before.

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Speaker 4: At this point in time in the election, you want

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Speaker 4: to be surging. You want to have momentum, you want

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Speaker 4: to be riding that wave until election day. And clearly

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Speaker 4: President Trump has that and Kamala Harris. Again, the hits

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Speaker 4: just keep on coming. Did you see the news that

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Speaker 4: broke just before the show that on the same day

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Speaker 4: that Kamala Harris four days ago was out there bitching

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Speaker 4: and complaining about DeSantis and not answering her phone call.

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Speaker 4: Who the hell knows if that was even true. But

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Speaker 4: four days ago, on the same day that she was

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Speaker 4: bitching about DeSantis, you know, as Governor DeSantis is down

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Speaker 4: in Florida and responding to multiple natural disasters. It was

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Speaker 4: the same day that Kamala Harris was at a photo

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Speaker 4: shoot for being on the cover of Vogue. Folks, listen,

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Speaker 4: do you remember when I told you that it was

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Speaker 4: a huge campaign mistake to attack someone that you're not

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Speaker 4: running against. You know, I've said this multiple times this week,

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Speaker 4: but it's important. If you're running for office, you don't

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Speaker 4: want to ever attack somebody that you're not running against.

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Speaker 4: They can to attack you back. They're not on the ballot.

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Speaker 2: You are.

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Speaker 4: You have everything to lose. And here we are, four

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Speaker 4: or even five days later, where we are still talking

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Speaker 4: about this because Kamala Harris made this kind of mistake,

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Speaker 4: and a mistake that just continues to cost her. Also,

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Speaker 4: this Axios headline, I mean, it about blew my mind

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Speaker 4: last night, and I'm already going off on a tangent,

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Speaker 4: but there's just so much news to cover, and I

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Speaker 4: got to hit some of it. Because guess what tonight is,

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Speaker 4: Right night, We've got the great Brian Dean right on

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Speaker 4: deck tonight. He is a former CIA operations officer. He's

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Speaker 4: the host of a great podcast called The Right Report

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Speaker 4: Daily Podcast, which is essentially your own personal presidential daily brief.

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Speaker 4: And what's interesting about it is it only lasts about

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Speaker 4: twenty five to thirty minutes, but it's packed full with

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Speaker 4: information that you need to know, I mean seriously, that

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Speaker 4: the news doesn't cover. And what's great about Brian is

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Speaker 4: that he substantiates all of his work with a ton

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Speaker 4: of research, so you know, what you're getting is well

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Speaker 4: researched and true, and in this day and age, it's

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Speaker 4: hard to get that. Okay, So before we talk about

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Speaker 4: this Axios headline, make sure you smash that like button,

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Speaker 4: that little green thumb beneath the video, make sure you

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Speaker 4: smash it. Also, don't forget about Official Seanparnell dot com.

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Speaker 4: I am going to be taking a look at all

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Speaker 4: of the names that you submitted in the comment sections

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Speaker 4: on Official Seanparnell dot com. The Battle Brief, the sit Rep,

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Speaker 4: battle crew News, whatever. It's the homepage of my website. Folks.

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Speaker 4: I design that to be a one stop shop for

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Speaker 4: all things America first news for you. So every day

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Speaker 4: check the website. We're updating stories on there, you know,

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Speaker 4: probably every couple of hours. So definitely check it out again.

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Speaker 4: The website's official Sean Parnell dot com. Uh, don't don't

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Speaker 4: forget about it. Also, okay, she's gotta get back to

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Speaker 4: this Axios headline. Okay, so it says, Scoop, some top

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Speaker 4: Democrats won't commit to certifying a Trump win. Are you

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Speaker 4: freaking kidding me? Let me, let me, let me read you.

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Speaker 4: You heard me correctly, Some top Democrats won't commit to

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Speaker 4: certifying a Trump win. This is from Axios. So listen,

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Speaker 4: listen to this. Just get this. It's amazing. You know

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Speaker 4: that there are two standards. The hypocrisy, of course, is brazen.

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Speaker 4: It's out there in the open. Uh, like only one

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Speaker 4: party gets to protest elections in this country without being

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Speaker 4: thrown in prison. Uh. But listen to how Axios frames this.

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Speaker 4: They say zooming out. So taking a thirty thousand foot

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Speaker 4: look at this claim. So the two parties have very

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Speaker 4: different histories when it comes to election objections, with Democrats

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Speaker 4: lodging doomed symbolic challenges as part of largely uneventful proceedings.

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Speaker 4: Isn't that just like a crazy sentence? The two parties

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Speaker 4: have very different histories when it comes to election objections,

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Speaker 4: with Democrats lodging doomed symbolic challenges as part of largely

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Speaker 4: uneventful proceedings. Ain't that some shit? It is saying good?

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Speaker 4: The article goes on to say. In two thousand and five,

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Speaker 4: Democrats objection to Bush's win in Ohio failed thirty one

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Speaker 4: to two sixty seven in the House and one to

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Speaker 4: seventy four in the Senate. In twenty seventeen and a

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Speaker 4: half dozen Democrats filed objections to ten Trump elector slates,

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Speaker 4: but failed to get the backing of a Senate and

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Speaker 4: were unable to force any votes. In twenty twenty one,

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Speaker 4: a major a majority of House Republicans voted to object

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Speaker 4: to a President Biden's wins in Arizona and Pennsylvania. It

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Speaker 4: was part of a sprawling effort to overturn the twenty

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Speaker 4: twenty election that culminated in the deadly attack on January sixth,

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Speaker 4: and Jamie Raskin said. Jamie Raskin said Democrats don't engage

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Speaker 4: in election fraud and election fabrication. Come on right, absolutely ridiculous. Okay.

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Speaker 4: So Michael Strahan, by the way, like just shifting gears

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Speaker 4: real quickly. Michael Strahan, who is a Hall of Fame

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Speaker 4: NFL athlete, NFL football player. I think he's like on

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Speaker 4: the Today Show, just so happened to give Waltz Tim

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Speaker 4: Walls one of the toughest interviews yet. Okay, Michael Strahan

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Speaker 4: back to the show here, Michael Strahan, who would have

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Speaker 4: thought that an ex NFL athlete, Hall of Fame athlete

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Speaker 4: would have given Tim Walls his toughest interview to date?

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Speaker 4: But he did check this out?

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Speaker 3: Talk about your record, and you call yourself with a knucklehead.

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Speaker 3: Call yourself with a knuckleheadcause you've made some statements that

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Speaker 3: just aren't true. In a common about weapon of the

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Speaker 3: war that I carried in ward, which you didn't.

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Speaker 1: You said you were in Hong.

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Speaker 3: Kong doing a tan and in Square massacre when you weren't.

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Speaker 3: You kind of chalked it all up to bad grammar,

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Speaker 3: getting the dates wrong. But your opponents say you lied

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Speaker 3: to make yourself look better. Do they have a point?

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Speaker 5: Well, look, thirty five years ago, got the opportunity to

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Speaker 5: be in Hong Kong, be in China, learned a lot

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Speaker 5: about it. Served twenty four years in the National Guard,

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Speaker 5: passionately in an instance talking about gun violence in schools

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Speaker 5: on an instance there. Proud of the service that I've done,

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Speaker 5: Proud to be teacher in that classroom, Proud to have

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Speaker 5: been very public all these years and owning it when I,

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Speaker 5: you know, said, look, I was there in August of

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Speaker 5: eighty nine, and I think what you see here you

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Speaker 5: saw in Minnesota. I've been elected eight times here, these

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Speaker 5: things have been very public for folks here. They see

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Speaker 5: the results of things that we passed. We see a

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Speaker 5: state that's a top five state for business. We see

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Speaker 5: third best state, top three state for raising a child,

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Speaker 5: and we've got the best healthcare.

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Speaker 1: And I think the policies, whether it be.

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Speaker 5: Dealing with China and understanding China's human rights record, what

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Speaker 5: you can be certain there is that Kamala Harris and

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Speaker 5: I aren't going to you know, pick.

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Speaker 1: Dictators on speed dial.

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Speaker 5: See Si Jing Ping is doing a good job during COVID,

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Speaker 5: as Donald Trump said, And I think those lessons learned

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Speaker 5: over a lifetime of being very public, whether it's in

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Speaker 5: the classroom or being.

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Speaker 4: Elected, not answering, you know.

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Speaker 3: But if it's one thing of a trusting to be

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Speaker 3: some people who say we can't trust him even tell

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Speaker 3: the truth about himself, what do you say to them?

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Speaker 5: Well, I said, they know who I am. I know

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Speaker 5: who I am, I know the work that I've done.

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Speaker 5: I know that things get gets fun in a playolitical environment.

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Speaker 5: But I think what they see is if we want

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Speaker 5: to compare that talking about immigration policy or seeing the

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Speaker 5: things that Donald Trump would say, I think there's a

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Speaker 5: big difference than missing a date when you're there and

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Speaker 5: again spinning something for a political reason.

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Speaker 1: I'm very clear of who I've been.

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Speaker 5: I'm very proud of twenty four years of doing that work,

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Speaker 5: and I think going to Congress and working for veterans,

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Speaker 5: they want to see it and make the difference look

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Speaker 5: a little different. I think people in Minnesota, my students,

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Speaker 5: the folks I've worked with members of Congress, they know

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Speaker 5: who I am, and they know the policies we put

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Speaker 5: in place have made an impact.

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Speaker 4: Look at that creepy smile. Democrats are idiots. When they're

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Speaker 4: asked even basic questions, they cannot answer. I swear to God,

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Speaker 4: it would be the easiest thing in the world to

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Speaker 4: run as a Democrat. You could have any scandals you

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Speaker 4: want in your background. Nobody ever asked you any questions.

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Speaker 4: Here you get an NFL football player, an ex NFL

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Speaker 4: football player, asking just basic questions about this guy's past.

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Speaker 4: Not only can he not answer him, he's awkward as hell,

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Speaker 4: a real Jerry Sandusky vibe too.

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Speaker 3: But listen and Vice President Harrison, as she told you

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Speaker 3: to be a little bit more careful.

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Speaker 5: Well, I did it, you know, even the other day

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Speaker 5: of just speaking passionately about these gun violent situations and

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Speaker 5: meeting with these survivors. I've said in the room with

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Speaker 5: the Sandy Hook folks, a friend with David Hogg, who's

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Speaker 5: been an activist on this. People knowing that, and then

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Speaker 5: that gets spun in that way. He didn't say something true.

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Speaker 5: It was very clear that I was talking about these veterans,

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Speaker 5: very clear that I wear you know, my I wear

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Speaker 5: my emotions on my sleeve. And I do think in

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Speaker 5: these positions, whether the governor being Vice president of the

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Speaker 5: United States, you do need to be collect careful.

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Speaker 1: You do need to be a little more thoughtful on it.

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Speaker 5: And I think what you see as as someone who's

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Speaker 5: been in classrooms a lot, I been around coaching a lot.

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Speaker 5: I speak passionately, and I think doing that you need

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Speaker 5: to combine the two.

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Speaker 1: And I think that's which.

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Speaker 4: By speaking passionately, do you mean huge, disgusting, revolting.

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Speaker 5: Liar she's referring to and you spit years.

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Speaker 4: I can't handle it with these people. So this was

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Speaker 4: the guy, by the way, this was the guy that

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Speaker 4: they're saying, along with Doug m Hoff, who is redefining masculinity,

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Speaker 4: America's dad can't even answer basic questions. So you know,

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Speaker 4: when we talk about Kamala Harris's campaign stalling, we'll bring

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Speaker 4: on Savage Rich. We'd give you the empirical data analysis

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Speaker 4: of why that is. I'm showing you the political stuff

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Speaker 4: about why her mistakes that she's making on the campaign trail.

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Speaker 4: But here's the other thing. It doesn't matter how much

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Speaker 4: money you have. It doesn't matter that Kamala Harris raised

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Speaker 4: a billion dollars, which she did probably illegally through Act Blue,

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Speaker 4: by the way, doesn't matter. Nothing makes up for shitty candidates.

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Speaker 4: And what's more, it said democrats are hemorrhaging men, back men,

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Speaker 4: white men. It doesn't matter. The Democrats right now, Kamala

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Speaker 4: Harris specifically are hemorrhaging men, and they're concerned, especially down

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Speaker 4: ticket in states like Wisconsin and in Michigan, we're both Democrats.

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Speaker 4: Incumbents who are running for Senate in those states have said, hey,

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Speaker 4: Harris is underwater. You're pulling far beneath me. And this

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Speaker 4: is what the Democrats did in response to them losing

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Speaker 4: men like young men leaving the Democrat Party in droves.

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Speaker 4: This is the ad they dropped today to bring those

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Speaker 4: voters back. Check this out.

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Speaker 6: I'm a man, I'm a man man, and I'm man enough.

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Speaker 6: I'm man enough to enjoy a barrel proof bourbon.

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Speaker 2: Meat, man enough to cook my steak.

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Speaker 3: Rare, man enough to dead lift five hundred and then bring

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Speaker 3: it out of my daughter's hair.

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Speaker 4: Do you think I'm afraid to rebuild a carburetor? You

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Speaker 4: carbureted for breakfast.

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Speaker 2: I'm afraid of bears.

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Speaker 1: That's what beer hugs are for.

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Speaker 6: I'll tell you another thing I share. I'm not afraid

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Speaker 6: of women.

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Speaker 4: I'm not afraid of women.

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Speaker 1: I'm not afraid of women.

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Speaker 2: They want to control their bodies, I say.

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Speaker 4: Go for it.

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Speaker 7: They want to use ivy have to start a family.

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Speaker 7: I'm not afraid of families.

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Speaker 2: They want to be child as cat ladies have all

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Speaker 2: the cats you want.

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Speaker 7: Woman wants to be president, well, I hope she has

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Speaker 7: the guts to look me right in the eye.

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Speaker 4: Okay, just take just I gotta do a pause, and

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Speaker 4: then we'll get right back into the ad. Have you

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Speaker 4: ever seen a dude sit on the back of his

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Speaker 4: truck tail gate like that? If you do something ain't right.

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Speaker 4: I'm just saying something ain't right.

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Speaker 7: And accept my full throated endorsement because I'm man enough

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Speaker 7: to support.

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Speaker 2: Women, man enough to know what kind of doing that time,

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Speaker 2: Man enough to admit I'm lost even when I refuse

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Speaker 2: to ask for directions.

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Speaker 4: Man enough to not ban young women from reading Little

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Speaker 4: Women or.

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Speaker 2: One of those pants books that the sisters like.

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Speaker 6: I'm man enough to raw Dog of Flight. It sucked,

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Speaker 6: We're not worth it. I'm man enough to be emotional

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Speaker 6: in front of my wife, in front of my kids,

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Speaker 6: in front of my horse.

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Speaker 4: I'm man enough to tell you that I cry. I

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Speaker 4: love actually God.

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Speaker 7: Come on, dude, wish story and bred and I'm sick

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Speaker 7: of so called meneering, belittling and controlling women just so

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Speaker 7: they can feel more power.

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Speaker 4: That's not how my mama raised.

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Speaker 2: I love women.

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Speaker 6: I love women who support their families.

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Speaker 7: Women who decide not to have families, women who take charge.

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Speaker 6: And I'm man enough to help them win.

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Speaker 4: Okay, So, first of all, s love, thank you for

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Speaker 4: the rumble rant tip. One hundred percent of what we

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Speaker 4: get goes right back into the show, and this shows yours.

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Speaker 4: It's for you, the viewers, the battle crew, and it

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Speaker 4: always will be Listen, folks. Democrats there, they're hot mess

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Speaker 4: right now? Is my daughter likes to say they're hot mess.

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Speaker 4: That was their message to men to try to rain

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Speaker 4: them back in. So okay, got Brian Dean right on deck.

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Speaker 4: I don't like to waste even a second when he's here.

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Speaker 4: Brian is a former CIA operations officer. He's the host

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Speaker 4: of a great podcast called The Right Report Daily podcast.

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Speaker 4: It's every day wherever you listen to podcasts, it's about

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Speaker 4: thirty minutes. It's awesome. Many of you. I get emails

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Speaker 4: from you all the time. I know you all. Most

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Speaker 4: of y'all who are likely listening to this his podcast already.

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Speaker 4: But for those who are first time listeners, first time viewers,

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Speaker 4: you definitely go and subscribe to that, but without further ado.

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Speaker 4: Brian Dean Wright, welcome back, my friend. Now are you

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Speaker 4: voting Democrat? Now that you see that ad.

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Speaker 2: The lead in for this segment and hit today, friend,

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Speaker 2: thank you so much for that. What I puked in

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Speaker 2: my mouth, it's still in my sinuses. That ad was horrible.

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Speaker 2: I love it. No, it's so great. Right, So I'm

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Speaker 2: not afraid of women. I mean I kind of am women.

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Speaker 6: I hear you.

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Speaker 2: Yeah, every husband or like boyfriend knows like, eh, it's

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Speaker 2: a little bit of fear. They're always yeah, yeah, yes.

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Speaker 2: And then the other part of you know, like I'm

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Speaker 2: not afraid to say it. Well, that's because some of

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Speaker 2: those fellows like to dress like women. So that's probably

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Speaker 2: why they're not afraid. Let's be honest, no judgment. I'm

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Speaker 2: just saying, as we look at them, let's be honest.

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Speaker 2: So what would a disaster? Right, It's a caricature that

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Speaker 2: Ada is a character is what men are. It's like

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Speaker 2: a minstrel show, right. It really is the male version

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Speaker 2: of a menstrul show. And it's wrong. It's just stupid,

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Speaker 2: politically stupid, and it is now going to be one

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Speaker 2: of the things that we laugh at and not with a.

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Speaker 4: I know, it reminds me of have you ever seen

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Speaker 4: the like the TikTok videos of like these men who

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Speaker 4: dress up as women and they're doing these like selfie videos.

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Speaker 4: Like that kid who is like on the Canna bud

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Speaker 4: light I can't remember his name, but he's like dancing

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Speaker 4: around like he's a two year old girl, but like

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Speaker 4: acting as if that's how women act. I remember, Yeah,

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Speaker 4: my wife watched that and she was like, like, this

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Speaker 4: is insanely insulting to women. Does he actually think that

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Speaker 4: women act like this, like, you know, dancing around like

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Speaker 4: like a two year old and it and it got

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Speaker 4: me thinking that, you know, when looking at this ad

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Speaker 4: about men men as well, is that the Democrats, this

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Speaker 4: is how they view almost everybody. They see everything through

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Speaker 4: the lens of race, creed, socioeconomic status, religion. It's unbelievable.

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Speaker 4: And because that's the only lens that they see through,

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Speaker 4: they don't really judge someone by their character and they

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Speaker 4: don't truly understand people, and so you get this crazy

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Speaker 4: character crap. It's just unbelievable to me that they think

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Speaker 4: this will work. Brian, Yeah, well, the other piece.

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Speaker 2: Of course, we spent the past what five plus years

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Speaker 2: unable to define in this country, apparently what a woman is, right,

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Speaker 2: so now we have, I guess decided what men o. Sure,

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Speaker 2: the Harris campaign is now running what they think men are,

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Speaker 2: which apparently men are whatever they just created? What the

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Speaker 2: hell that video was? So look none of it. This

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Speaker 2: is the Democrat party. Is what happens when you stop

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Speaker 2: using your brain and all you do is you use

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Speaker 2: your emotion. You just sort of flare around with you

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Speaker 2: whatever you feel in that particular moments, like a toddler

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Speaker 2: is not running that party right where your emotions change

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Speaker 2: every couple of minutes. You're not using your mind or

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Speaker 2: critical thinking facts and data, logic and reason. That's what

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Speaker 2: adults do. And so when you become a party of

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Speaker 2: toddler like people, that's the kind of video you get

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Speaker 2: and you can't decide what a man or woman is

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Speaker 2: and then you come up with whatever the hell we

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Speaker 2: just saw. So yeah, it really I think underlines the

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Speaker 2: importance of this vote right in November. Exactly what will

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Speaker 2: the future of this country be? Well, you have a

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Speaker 2: pretty good video that shows you what the leadership might

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Speaker 2: look like if you choose the other guys.

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Speaker 4: Well, you know what's crazy to me is that my

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Speaker 4: thesis all week, my central thesis all week has been,

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Speaker 4: you know, Kamala Harris's campaign and momentum is stalled and

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Speaker 4: I feel like I've gone out of my way to

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Speaker 4: show empirical evidence of that in the polling. And yeah,

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Speaker 4: while people shouldn't trust one singular poll, you look at

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Speaker 4: a bunch of polls and it looks clearly as if

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Speaker 4: her momentum is completely stalled out. But it's not just that,

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Speaker 4: you know this, she had to reinvent her strategy and

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Speaker 4: go back out there and try to do a bunch

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Speaker 4: of interviews. But the problem for Kamala Brian is that

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Speaker 4: the more she interviews, she's not charismatic like Barack Obama. Yeah,

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Speaker 4: he was divisive, he was a terrible president. He damages

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Speaker 4: country a lot, but he talked a good game and

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Speaker 4: he faked it to make it, and he has charisma.

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Speaker 4: And so she trots out Obama, brings him to Pittsburgh,

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Speaker 4: my hometown yesterday to basically shame young black men and

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Speaker 4: devoting for Kamala Harris because he knows, along with many

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Speaker 4: other senior members of the Democrat Party that Kamala Harris

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Speaker 4: is hemorrhaging black men, and not just black men, men

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Speaker 4: across the board are abandoning her campaign. So not only

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Speaker 4: that she's doing these interviews and it's like the more

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Speaker 4: she talks, the less popular she gets, but she's also

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Speaker 4: making unbelievable strategic mistakes like attacking Governor DeSantis during a

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Speaker 4: horrific natural disaster. And so my, I think she's sinking. Man,

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Speaker 4: It's just it's my feeling, but it's I just think

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Speaker 4: things ain't going so well for her right now. What

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Speaker 4: do you think?

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Speaker 2: Yeah, Look, let's talk about what we know is true

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Speaker 2: in the Democrat Party and how they regard black folks.

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Speaker 2: Remember Joe Biden here about four years ago, this said,

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Speaker 2: if you don't vote for me, you ain't black. So

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Speaker 2: that is an extinction that is in the DNA of

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Speaker 2: the party right now when they say that. So I

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Speaker 2: think that that's really important to remember that the folks

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Speaker 2: in the Democrat Party, the leadership, irrespective of their color

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Speaker 2: or skin or gender or whatever, they view back black

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Speaker 2: people as those who have to vote for them otherwise

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Speaker 2: they're denied part of their identity. So let's just start

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Speaker 2: with that that's interesting.

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Speaker 4: That is that's actually that's exactly what That's exactly what

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Speaker 4: he means by that. Sure, exactly what Biden meant by that.

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Speaker 2: And you also have to understand, you know, last May

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Speaker 2: he was in Philadelphia. Biden was and he was talking

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Speaker 2: about the importance of diversity in the party, and he

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Speaker 2: was talking about diversity equity, although he called it equality,

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Speaker 2: but diversity, equity, and inclusion. He said he has the

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Speaker 2: most diverse and equitable and inclusive administration in the history

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Speaker 2: of the country. And he said that starts at the

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Speaker 2: top and the vice president's office. So what does that

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Speaker 2: tell you about why he chose her? Right? Right? So look,

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Speaker 2: and sometimes people might bristle at that. I'm like, oh gosh,

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Speaker 2: that sounds sort of awkward or socially uncouth to but

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Speaker 2: Biden said it himself. And again we know this is

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Speaker 2: true throughout the Democrat Party that they view people, they

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Speaker 2: slice and dice folks based on kind of a diversity Olympics,

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Speaker 2: and you get the kind of rhetoric that we're hearing

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Speaker 2: nowt and you get kind of the candidate that is

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Speaker 2: miss Harris. And that is why she was not elevated

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Speaker 2: because she was particularly smart or adept because she was

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Speaker 2: good at rhetoric and then putting together thoughtful debates and arguments.

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Speaker 2: She just had a certain look and that was good

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Speaker 2: enough for the party. And so yes, of course, when

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Speaker 2: you put her in front of a camera with a

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Speaker 2: host without a teleprompter to tell her exactly what to say,

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Speaker 2: she falls apart with word salads and she sticks with

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Speaker 2: the one thing that she knows how to say, which

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Speaker 2: are things like I'm from a middle class family. Okay,

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Speaker 2: got it. I asked you about climate change. Its middle

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Speaker 2: class family anyway. So that's the kind of candidate you get.

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Speaker 2: And I think that that's what more people The longer

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Speaker 2: that she is out there campaigning, the more that people

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Speaker 2: see her, the more that you are what you're showing

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Speaker 2: in the polls is true, and that is that. Empirically,

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Speaker 2: her campaign is faltering some very very important states by

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Speaker 2: posters who are actually fair minded, and I know you

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Speaker 2: talked to those people and bring them on your show.

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Speaker 2: She's not doing well, and that's because she's not a

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Speaker 2: good candidate. For all the reasons the Democrat Party is

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Speaker 2: flailing around this country.

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Speaker 4: It's it's it's so funny, like she does default into

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Speaker 4: I come from a middle class fan like she's some

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Speaker 4: sort of robot that can't comprehend, that can't comprehend basic English.

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Speaker 4: She gets stuck in those talking points, and.

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Speaker 2: Basically the best part those when she uses different accents

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Speaker 2: to say that same thing yesterday, the new Hispanic one.

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Speaker 2: Oh my god, I wanted to put a sombrero on her,

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Speaker 2: maybe the cordion, to just have her talk to the people.

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Speaker 2: That was amazing.

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Speaker 4: It really is.

433
00:22:41,000 --> 00:22:42,760
Speaker 2: You don't get to me at the best part. I'm

434
00:22:42,760 --> 00:22:44,760
Speaker 2: gonna tell you, I'm gonna I'm gonna make I'm gonna

435
00:22:44,760 --> 00:22:48,000
Speaker 2: make another offer. I would give up an organ if

436
00:22:48,000 --> 00:22:51,200
Speaker 2: she were willing to do a speech in a a

437
00:22:51,280 --> 00:22:53,480
Speaker 2: in a town hall with an Asian crowd.

438
00:22:53,840 --> 00:22:54,680
Speaker 4: Can you imagine?

439
00:22:55,359 --> 00:22:58,000
Speaker 2: Can you imagine the Asian Kamala Harris doing that accent?

440
00:22:58,119 --> 00:23:03,520
Speaker 2: Oh Lord, have mercy. I would laugh four months. Yeah,

441
00:23:03,600 --> 00:23:05,640
Speaker 2: if I was feeling down, you know, I'd just put

442
00:23:05,640 --> 00:23:08,200
Speaker 2: that on. But look at Kamality in the Asian accent anyway.

443
00:23:08,240 --> 00:23:10,800
Speaker 2: It really is offensive. She's such an offensive person. She's

444
00:23:10,800 --> 00:23:13,399
Speaker 2: not smart at all. And I really do hope that

445
00:23:13,440 --> 00:23:16,960
Speaker 2: not only she loses, but loses majorly Wigley and goes

446
00:23:16,960 --> 00:23:19,280
Speaker 2: back to San Francisco and enjoys that crap hole because

447
00:23:19,280 --> 00:23:20,119
Speaker 2: that's where she belongs.

448
00:23:20,240 --> 00:23:22,960
Speaker 4: She can't even take basic questions from people, Brian, I'm

449
00:23:23,000 --> 00:23:25,520
Speaker 4: sure you saw, like on Univision yesterday, if she's taking

450
00:23:25,560 --> 00:23:29,199
Speaker 4: questions from the audience just the most, I mean, the

451
00:23:29,760 --> 00:23:31,639
Speaker 4: if you're a candidate, that's like what you do is

452
00:23:31,680 --> 00:23:34,720
Speaker 4: you talk to people, right, That's that's your job. She's

453
00:23:34,760 --> 00:23:37,280
Speaker 4: taking questions from the audience and she's reading from a

454
00:23:37,320 --> 00:23:40,400
Speaker 4: teleprompter and responding that to that, I mean, like it's.

455
00:23:40,280 --> 00:23:42,719
Speaker 2: Very authentic, or she would have said last night authentical.

456
00:23:43,280 --> 00:23:46,320
Speaker 2: You know, she's with the hispanics. Yeah, there you go.

457
00:23:46,720 --> 00:23:49,760
Speaker 4: It's it's it really is, okaylown all right, So I

458
00:23:49,800 --> 00:23:52,160
Speaker 4: would like to shift gears to something that I've been

459
00:23:52,200 --> 00:23:55,560
Speaker 4: prattling on about. Let's shift you a couple of couple

460
00:23:55,560 --> 00:23:58,000
Speaker 4: of times today already, but also throughout the course of

461
00:23:58,040 --> 00:24:00,800
Speaker 4: the week. So obviously we had her, Kane, Helene, and

462
00:24:00,840 --> 00:24:03,879
Speaker 4: we've had Milton, and on the heels of that, Marjorie

463
00:24:03,920 --> 00:24:05,520
Speaker 4: Taylor Green came out and said, well, of course the

464
00:24:05,560 --> 00:24:09,280
Speaker 4: government can control the weather, and then almost everybody from

465
00:24:09,320 --> 00:24:13,000
Speaker 4: President Biden on down attacked her relentlessly and saying, oh,

466
00:24:13,040 --> 00:24:14,960
Speaker 4: we can't control the weather, we can't contray He's crazy.

467
00:24:15,000 --> 00:24:18,040
Speaker 4: It's a conspiracy theory. So I'd like to lead into

468
00:24:18,080 --> 00:24:21,639
Speaker 4: this discussion with two video clips, if you will allow

469
00:24:21,720 --> 00:24:25,359
Speaker 4: me just to set up everything. And so because I

470
00:24:25,400 --> 00:24:28,560
Speaker 4: I'm obsessed with the idea of weather wars right, the

471
00:24:28,600 --> 00:24:32,119
Speaker 4: idea that if we could control the weather, it would

472
00:24:32,119 --> 00:24:36,119
Speaker 4: give a tactical advantage you strike somewhere without actually striking.

473
00:24:36,920 --> 00:24:39,639
Speaker 4: The whole concept is fascinating. So this was the History

474
00:24:39,720 --> 00:24:41,440
Speaker 4: Channel back in two thousand and nine.

475
00:24:41,480 --> 00:24:44,800
Speaker 2: Look what I dug up, quest to play god.

476
00:24:46,080 --> 00:24:48,399
Speaker 8: To control the weather and use it as a weapon

477
00:24:50,080 --> 00:24:54,520
Speaker 8: like corrential rains, hurricanes targeted at the end off.

478
00:24:54,920 --> 00:24:57,639
Speaker 9: Oh yeah, ult war is if you never have to

479
00:24:57,680 --> 00:25:00,600
Speaker 9: fire around nobody ever knew the fight.

480
00:25:00,960 --> 00:25:03,840
Speaker 8: Yeah, is it possible there have already been attacks using

481
00:25:03,840 --> 00:25:04,600
Speaker 8: weather weapons.

482
00:25:08,160 --> 00:25:10,120
Speaker 9: If you get down low enough, you can actually see

483
00:25:10,119 --> 00:25:12,720
Speaker 9: a clear layer above the antenna.

484
00:25:12,880 --> 00:25:14,560
Speaker 1: It is actually pushing.

485
00:25:14,760 --> 00:25:18,560
Speaker 9: These water particles up, and that's exactly how HARP works.

486
00:25:19,560 --> 00:25:21,960
Speaker 9: What we've done is we've not only pushed the cloud

487
00:25:22,160 --> 00:25:24,760
Speaker 9: off of the HARP antenna, but as you can see,

488
00:25:24,760 --> 00:25:29,480
Speaker 9: our cloud is almost completely gone inside HARP does exactly

489
00:25:29,520 --> 00:25:33,480
Speaker 9: the same thing. It ionizes the particles pushes them out

490
00:25:33,480 --> 00:25:34,040
Speaker 9: into space.

491
00:25:35,600 --> 00:25:38,960
Speaker 8: HARP is one of several ELF wave transmitters located all

492
00:25:38,960 --> 00:25:43,040
Speaker 8: over the globe. The United States owns and operates three

493
00:25:43,080 --> 00:25:47,639
Speaker 8: of them, one in Kakona, Alaska, another in Fairbanks, Alaska,

494
00:25:48,080 --> 00:25:52,119
Speaker 8: and one in Aricibo, Puerto Rico. Russia has one in

495
00:25:52,240 --> 00:25:56,960
Speaker 8: Vassilurski ner Nizhni Lofgarad, and the European Union has one

496
00:25:56,960 --> 00:26:03,120
Speaker 8: near Krumsa in Norway. In tandem, these transmitters could potentially

497
00:26:03,280 --> 00:26:06,879
Speaker 8: alter the weather anywhere in the world, changing the jet

498
00:26:06,880 --> 00:26:13,320
Speaker 8: stream's course entirely, triggering massive rainstorms or droughts. Even hurricane

499
00:26:13,400 --> 00:26:16,320
Speaker 8: steering would be possible by heating up the atmosphere and

500
00:26:16,359 --> 00:26:19,560
Speaker 8: building up high pressure domes that could deflect or change

501
00:26:19,560 --> 00:26:20,720
Speaker 8: the course of hurricane.

502
00:26:21,119 --> 00:26:23,680
Speaker 4: Okay, so there's that. So there's that. Before you think

503
00:26:23,680 --> 00:26:26,919
Speaker 4: them crazy, there's that, and then here's CIA. Former CIA

504
00:26:27,000 --> 00:26:27,760
Speaker 4: director Brannan.

505
00:26:28,000 --> 00:26:31,399
Speaker 10: Another example is the array of technologies often referred to

506
00:26:31,440 --> 00:26:35,359
Speaker 10: collectively as geo engineering, that potentially could help reverse the

507
00:26:35,400 --> 00:26:38,920
Speaker 10: warming effects of global climate change. One that has gained

508
00:26:38,920 --> 00:26:44,439
Speaker 10: my personal attention is stratospheric aerosol injection or SAI, a

509
00:26:44,520 --> 00:26:47,440
Speaker 10: method of seating the stratosphere with particles that can help

510
00:26:47,480 --> 00:26:49,919
Speaker 10: reflect the Sun's heat and much the same way that

511
00:26:50,000 --> 00:26:55,680
Speaker 10: volcanic eruptions do. An SAI program could limit global temperature increases,

512
00:26:56,200 --> 00:26:59,639
Speaker 10: reducing some risks associated with higher temperatures, and providing the

513
00:26:59,640 --> 00:27:04,479
Speaker 10: world economy additional time to transition from fossil fuels. This

514
00:27:04,560 --> 00:27:09,280
Speaker 10: process is also relatively inexpensive. The National Research Council estimates

515
00:27:09,280 --> 00:27:12,280
Speaker 10: that a fully deployed SAI program would cost about ten

516
00:27:12,320 --> 00:27:16,600
Speaker 10: billion dollars yearly. As promising as it may be, moving

517
00:27:16,640 --> 00:27:19,280
Speaker 10: forward on SAI would also raise a number of challenges

518
00:27:19,280 --> 00:27:22,480
Speaker 10: for our government and for the international community. On the

519
00:27:22,480 --> 00:27:25,920
Speaker 10: technical side, greenhouse gas emission reductions which still have to

520
00:27:25,960 --> 00:27:30,040
Speaker 10: accompany SAI to address other climate change effects such as

521
00:27:30,160 --> 00:27:34,919
Speaker 10: ocean acidification, because SAI alone would not remove greenhouse gases

522
00:27:34,960 --> 00:27:35,880
Speaker 10: from the atmosphere.

523
00:27:36,800 --> 00:27:38,640
Speaker 2: On the geopolitical side, the.

524
00:27:38,680 --> 00:27:43,560
Speaker 10: Technology's potential to alter weather patterns and benefit certain regions

525
00:27:43,560 --> 00:27:46,560
Speaker 10: of the world at the expense of other regions could

526
00:27:46,600 --> 00:27:49,280
Speaker 10: trigger sharp opposition by some nations.

527
00:27:50,560 --> 00:27:54,639
Speaker 4: Okay, so prove me wrong, like we can weather wars.

528
00:27:54,680 --> 00:27:55,640
Speaker 4: It's a thing, right.

529
00:27:56,840 --> 00:27:58,600
Speaker 2: The short answer is yes.

530
00:27:59,280 --> 00:28:03,200
Speaker 4: The longer. I set this up. I set this up perfectly,

531
00:28:03,520 --> 00:28:06,399
Speaker 4: and every game the CIA right now is watching this

532
00:28:06,760 --> 00:28:11,520
Speaker 4: and thinking, Brian, Brian, dammit, you're disclosing all of our secrets.

533
00:28:11,600 --> 00:28:13,840
Speaker 2: Oh Man, and you had to leave with Brennan. I

534
00:28:13,880 --> 00:28:17,640
Speaker 2: hate that guy. But anyway, look, this goes actually back

535
00:28:17,840 --> 00:28:21,280
Speaker 2: if we're looking at this objectively speaking, the idea of

536
00:28:21,359 --> 00:28:25,040
Speaker 2: either manipulating weather or controlling weather, this idea goes back

537
00:28:25,280 --> 00:28:28,000
Speaker 2: to late eighteen hundreds. Eighteen ninety one. Actually, the US

538
00:28:28,080 --> 00:28:31,880
Speaker 2: government funded a study in Midland, Texas. And that's because

539
00:28:31,880 --> 00:28:34,960
Speaker 2: we had some Civil war generals who said whenever that

540
00:28:35,040 --> 00:28:37,560
Speaker 2: day would have big fights in battles, it would seem

541
00:28:37,600 --> 00:28:39,720
Speaker 2: to just rain a lot more, and they didn't quite

542
00:28:39,800 --> 00:28:42,880
Speaker 2: understand why what could be causing that. Well, the idea

543
00:28:43,000 --> 00:28:45,640
Speaker 2: at the time in the late early eighteen nineties was

544
00:28:45,680 --> 00:28:49,160
Speaker 2: that the acoustics of all the explosions plus whatever was

545
00:28:49,200 --> 00:28:54,040
Speaker 2: in the gunpowder was causing some sort of atmospheric change

546
00:28:54,040 --> 00:28:57,600
Speaker 2: that encouraged weather, encouraged rain. So they went to Midland

547
00:28:57,680 --> 00:29:00,640
Speaker 2: in eighteen ninety one. They did this for a number

548
00:29:00,640 --> 00:29:02,160
Speaker 2: of hours. It didn't go well at first, but they

549
00:29:02,200 --> 00:29:06,400
Speaker 2: eventually pulled it off. Twelve hours later it rained. Everybody,

550
00:29:06,480 --> 00:29:08,000
Speaker 2: of course around the world was like, oh my god,

551
00:29:08,000 --> 00:29:08,520
Speaker 2: it's amazing.

552
00:29:08,560 --> 00:29:08,640
Speaker 1: Now.

553
00:29:08,640 --> 00:29:10,640
Speaker 2: Whether or not that actually happened and it rained because

554
00:29:10,640 --> 00:29:13,760
Speaker 2: of them or just it just occurred was up for debate.

555
00:29:13,880 --> 00:29:16,280
Speaker 2: But the point is it set off this race throughout

556
00:29:16,320 --> 00:29:19,000
Speaker 2: the world to try to replicate this, because it could

557
00:29:19,040 --> 00:29:21,520
Speaker 2: be a very powerful thing to offer, say for drought

558
00:29:21,600 --> 00:29:24,400
Speaker 2: ridden areas or yes, as a weapon of war. The

559
00:29:24,440 --> 00:29:27,040
Speaker 2: Germans tried it under Hitler and before. And then we

560
00:29:27,080 --> 00:29:30,200
Speaker 2: get to the early nineteen forties when scientists at General

561
00:29:30,240 --> 00:29:33,160
Speaker 2: Electric started a project and what they did is they

562
00:29:33,240 --> 00:29:38,240
Speaker 2: dropped little pellets of ice basically a frozen ice, a

563
00:29:38,320 --> 00:29:43,040
Speaker 2: dry ice, into a storm in western Massachusetts. And it

564
00:29:43,120 --> 00:29:45,320
Speaker 2: was three miles long, is what they dropped out of

565
00:29:45,360 --> 00:29:48,360
Speaker 2: the plane, and sure enough they had three miles of

566
00:29:48,400 --> 00:29:51,600
Speaker 2: snow and rain. So what that then did, well, of course,

567
00:29:51,800 --> 00:29:55,760
Speaker 2: it set off this this tremendous interest in geoengineering. And

568
00:29:55,800 --> 00:29:59,320
Speaker 2: then the US military said shut it down. Well, that's

569
00:29:59,360 --> 00:30:01,960
Speaker 2: because they had their own project called Project Cirrus, and

570
00:30:02,000 --> 00:30:04,880
Speaker 2: they took those scientists from ge and they started working.

571
00:30:04,920 --> 00:30:07,000
Speaker 2: This was in February forty seven. They started working for

572
00:30:07,040 --> 00:30:09,840
Speaker 2: the next nine months in October of forty seven, the

573
00:30:09,880 --> 00:30:12,440
Speaker 2: Hurricane King was going through Miami and they thought, what

574
00:30:12,520 --> 00:30:15,760
Speaker 2: a great opportunity to drop this dry ice in the

575
00:30:15,840 --> 00:30:18,360
Speaker 2: center of a hurricane and see what we can see. Now.

576
00:30:18,400 --> 00:30:20,160
Speaker 2: They didn't think that it would do much of anything.

577
00:30:20,160 --> 00:30:22,440
Speaker 2: It was only think eighty pounds of dry eyes, but

578
00:30:22,480 --> 00:30:25,960
Speaker 2: they dropped it in the eye the hurricane, and Hurricane

579
00:30:26,040 --> 00:30:29,240
Speaker 2: King was supposed to go do east out into the Atlantic.

580
00:30:29,560 --> 00:30:32,520
Speaker 2: It didn't. It turned one thirty degrees back towards the

581
00:30:32,600 --> 00:30:36,200
Speaker 2: United States, hit Georgia and caused all kinds of devastation.

582
00:30:36,400 --> 00:30:38,880
Speaker 2: At that point, people were like, well, wait a minute,

583
00:30:38,880 --> 00:30:41,600
Speaker 2: maybe this Project Serious is a bad idea. We don't

584
00:30:41,600 --> 00:30:43,480
Speaker 2: know how to control exactly what we're doing here. Let's

585
00:30:43,480 --> 00:30:45,320
Speaker 2: shut it down. The public outwind of it, a lot

586
00:30:45,320 --> 00:30:48,000
Speaker 2: of people got very angry. So yes, Project Serious was

587
00:30:48,000 --> 00:30:51,080
Speaker 2: shut down, but two others were started up in its place.

588
00:30:51,520 --> 00:30:53,080
Speaker 2: So now we have from the forties and to the

589
00:30:53,080 --> 00:30:55,440
Speaker 2: fifties and to the nineteen sixties to the war in Vietnam.

590
00:30:55,440 --> 00:30:58,560
Speaker 2: There was an operation called Operation Popeye that was an

591
00:30:58,640 --> 00:31:01,920
Speaker 2: effort by the US military seed some clouds caused flooding

592
00:31:01,960 --> 00:31:04,960
Speaker 2: in northern Vietnam against the Viet Cong. Well, then we

593
00:31:05,000 --> 00:31:07,040
Speaker 2: get into the early This is all public stuff, by

594
00:31:07,040 --> 00:31:09,480
Speaker 2: the way, and in the early nineteen eighties the US

595
00:31:09,520 --> 00:31:12,680
Speaker 2: government said, look, it's a really interesting proposition about this

596
00:31:12,680 --> 00:31:15,880
Speaker 2: clouds heating stuff and controlling and manipulating weather to include

597
00:31:15,920 --> 00:31:19,080
Speaker 2: and especially hurricanes, because the idea would be if we

598
00:31:19,120 --> 00:31:21,440
Speaker 2: could bust apart the clouds as they were approaching the

599
00:31:21,560 --> 00:31:24,000
Speaker 2: United States, we could prevent a lot of damage, a

600
00:31:24,040 --> 00:31:26,360
Speaker 2: lot of a lot of damage. But they believed that

601
00:31:26,360 --> 00:31:29,600
Speaker 2: the technology wasn't really there, so apparently, allegedly they shut

602
00:31:29,640 --> 00:31:33,200
Speaker 2: down those programs in their early nineteen eighties, but guess what,

603
00:31:34,000 --> 00:31:35,640
Speaker 2: the cat was out of the back. So a lot

604
00:31:35,680 --> 00:31:38,120
Speaker 2: of other countries around the world were very much interested

605
00:31:38,120 --> 00:31:41,560
Speaker 2: in this. The Soviets were quite interested, also, the Chinese.

606
00:31:41,640 --> 00:31:44,080
Speaker 2: They currently have a clouds heating program, which we'll get

607
00:31:44,080 --> 00:31:46,520
Speaker 2: back to in a second. But the Arabs have really

608
00:31:46,600 --> 00:31:48,520
Speaker 2: led the way since the early nineteen eighties into the

609
00:31:48,600 --> 00:31:52,400
Speaker 2: nineties and early aughts, especially Saudi Arabia and the United

610
00:31:52,400 --> 00:31:55,000
Speaker 2: Arab Emirates. They have invested a tremendous amount of money

611
00:31:55,040 --> 00:31:57,720
Speaker 2: into cloud seating because they're a desert and they want

612
00:31:57,720 --> 00:32:00,440
Speaker 2: more rain, so they leaned on some really interesting research

613
00:32:00,520 --> 00:32:03,320
Speaker 2: out of South Africa that found that a local paper

614
00:32:03,360 --> 00:32:05,960
Speaker 2: mill was admitting, you know, stop out of its chimney,

615
00:32:06,280 --> 00:32:08,400
Speaker 2: and they kept seeing that there would be these clouds

616
00:32:08,520 --> 00:32:11,320
Speaker 2: around the mill that were just dump rain. And so

617
00:32:11,360 --> 00:32:13,960
Speaker 2: scientists looked into us and what they came to understand

618
00:32:14,200 --> 00:32:17,320
Speaker 2: was that if you inject certain kinds of particles into clouds,

619
00:32:18,000 --> 00:32:20,880
Speaker 2: what these particles can do is actually glom onto this

620
00:32:21,000 --> 00:32:23,760
Speaker 2: microscopic water that's in the air, and it causes more

621
00:32:23,800 --> 00:32:25,840
Speaker 2: rain drops and gets them to be even bigger, forcing

622
00:32:25,920 --> 00:32:29,000
Speaker 2: rain to fall. So the Arabs used that technology and

623
00:32:29,000 --> 00:32:31,800
Speaker 2: that science and that accidental discovery in South Africa. They

624
00:32:31,800 --> 00:32:35,000
Speaker 2: have been deploying it for many years now. And here's

625
00:32:35,000 --> 00:32:37,200
Speaker 2: the great thing. They believe that it works. There's some

626
00:32:37,240 --> 00:32:39,360
Speaker 2: debate about whether or not that's true, but they sure do.

627
00:32:39,560 --> 00:32:43,680
Speaker 2: The Saudis and the Amorades certainly believe it's true and

628
00:32:43,760 --> 00:32:46,719
Speaker 2: it might be working too well. This past summer in

629
00:32:46,800 --> 00:32:50,320
Speaker 2: Dubai they had a massive flood. It was it happened

630
00:32:50,400 --> 00:32:53,000
Speaker 2: right as they were seeing a bunch of clouds. The UAE,

631
00:32:53,200 --> 00:32:55,560
Speaker 2: Bloomberg News and others reported on this. It was because

632
00:32:55,560 --> 00:32:57,920
Speaker 2: of a cloud seating effort. A lot of people try

633
00:32:57,960 --> 00:33:01,000
Speaker 2: to cover that up. No, no, no, that's not true. Meanwhile,

634
00:33:01,040 --> 00:33:03,360
Speaker 2: the Chinese they do the same thing. Their program their

635
00:33:03,360 --> 00:33:07,520
Speaker 2: cloud seating programs are very much classified state secrets. Although

636
00:33:07,560 --> 00:33:10,280
Speaker 2: they too had an issue just last month where they

637
00:33:10,320 --> 00:33:12,720
Speaker 2: were seeding in one area that was a drought prone

638
00:33:12,800 --> 00:33:15,640
Speaker 2: Well they overseated it. That caused a day louse in

639
00:33:15,640 --> 00:33:19,440
Speaker 2: the afternoon with tremendous rains. When everybody had their clothes

640
00:33:19,440 --> 00:33:22,400
Speaker 2: out for drying after they washed them in the morning, Well,

641
00:33:22,400 --> 00:33:26,440
Speaker 2: that's spread clothes throughout this particular city. And so there

642
00:33:26,520 --> 00:33:28,240
Speaker 2: was this joke that people were going around the city

643
00:33:28,240 --> 00:33:30,920
Speaker 2: trying to find their underwear and meeting like boyfriends and girlfriends. Right,

644
00:33:32,440 --> 00:33:34,440
Speaker 2: so we know that this is happening around the world,

645
00:33:34,480 --> 00:33:37,320
Speaker 2: we also know it's happening in this country. In twenty seventeen,

646
00:33:37,360 --> 00:33:41,000
Speaker 2: project SNOWEEDT, which is a very interesting project University of Colorado, Boulder,

647
00:33:41,440 --> 00:33:44,440
Speaker 2: they decided they wanted to really prove that the technology

648
00:33:44,480 --> 00:33:46,360
Speaker 2: could work, not only cloud seating, but that they could

649
00:33:46,400 --> 00:33:49,800
Speaker 2: prove that human efforts could change weather or modify that

650
00:33:49,840 --> 00:33:51,840
Speaker 2: with And so what they did is they took the

651
00:33:51,880 --> 00:33:55,280
Speaker 2: same sodium iodine and they dropped it in a series

652
00:33:55,320 --> 00:33:58,480
Speaker 2: of clouds above the Rockies back in twenty seventeen. But

653
00:33:58,520 --> 00:34:02,200
Speaker 2: they did something very interesting. They deployed the sodium iodine

654
00:34:02,240 --> 00:34:05,320
Speaker 2: in a zigzag pattern. Because, as one of the scientists

655
00:34:05,360 --> 00:34:08,600
Speaker 2: at the time, mother nature does not produce zigzag patterns.

656
00:34:08,600 --> 00:34:11,600
Speaker 2: Who we can prove that our human efforts caused whatever

657
00:34:11,640 --> 00:34:15,680
Speaker 2: weather might occur. Sure enough it dead it snowed tremendously

658
00:34:15,880 --> 00:34:19,799
Speaker 2: along as zigzag pattern. So Ever since then, organizations like

659
00:34:19,840 --> 00:34:22,520
Speaker 2: the Scientific American have reported that in the Western United

660
00:34:22,560 --> 00:34:25,480
Speaker 2: States at least eight different states are engaged in cloud

661
00:34:25,560 --> 00:34:29,080
Speaker 2: modification or cloud seeding efforts to try to improve the snowpack,

662
00:34:29,200 --> 00:34:33,200
Speaker 2: try to imp improve rainfall during this tremendous megage route

663
00:34:33,200 --> 00:34:34,960
Speaker 2: that we've had over the past ten or so years.

664
00:34:35,520 --> 00:34:38,120
Speaker 2: They think that they have increased moisture by about ten

665
00:34:38,160 --> 00:34:41,600
Speaker 2: to fifteen percent. That is what Scientific American has reported.

666
00:34:42,239 --> 00:34:44,680
Speaker 2: But the big question, of course, is not only so

667
00:34:44,760 --> 00:34:47,000
Speaker 2: we know the cloud setting is real, The question is

668
00:34:47,040 --> 00:34:49,800
Speaker 2: now can we manipulate to the point where we're controlling

669
00:34:49,840 --> 00:34:53,839
Speaker 2: it right, controlling the hurricanes? Now you play that clip

670
00:34:53,880 --> 00:34:56,800
Speaker 2: showing that there is this project that could be possible

671
00:34:58,160 --> 00:35:00,320
Speaker 2: here if in fact that it is something that's happening,

672
00:35:00,400 --> 00:35:03,640
Speaker 2: it's could be very much classified. But secondly, back in

673
00:35:03,960 --> 00:35:06,279
Speaker 2: about twenty years ago, the deprivement of Homeland Security and

674
00:35:06,320 --> 00:35:10,000
Speaker 2: others gathered scientists for this very idea, should we research

675
00:35:10,680 --> 00:35:13,680
Speaker 2: like hurricane control? And the scientists at the time, including

676
00:35:13,680 --> 00:35:16,480
Speaker 2: one gentleman at the MIT who's now retired, said absolutely not,

677
00:35:17,080 --> 00:35:18,960
Speaker 2: because one of the ideas was to bring up cold

678
00:35:18,960 --> 00:35:21,600
Speaker 2: water from the depths of the ocean, spread it out

679
00:35:21,640 --> 00:35:23,560
Speaker 2: above the on the surface, and that'll bust up the

680
00:35:23,680 --> 00:35:26,319
Speaker 2: hurricane clouds. That's true. In fact, there's a Norwegian firm

681
00:35:26,480 --> 00:35:29,520
Speaker 2: working on that right now. But his response twenty years

682
00:35:29,520 --> 00:35:32,040
Speaker 2: ago is don't do it, because what happens when those

683
00:35:32,040 --> 00:35:34,560
Speaker 2: clouds get busted apart and they go into other parts

684
00:35:34,600 --> 00:35:36,759
Speaker 2: of the world and flood or destroy and kill who's

685
00:35:36,800 --> 00:35:39,520
Speaker 2: responsible for that? So that was his point that we

686
00:35:39,520 --> 00:35:42,480
Speaker 2: are starting to really mess around with some profound stuff

687
00:35:42,480 --> 00:35:44,640
Speaker 2: that we're not really going to be able to control properly.

688
00:35:45,320 --> 00:35:47,520
Speaker 2: Same idea, if I can put this in different context

689
00:35:47,960 --> 00:35:52,560
Speaker 2: with nuclear energy and nuclear scientists, right, they understood the threat,

690
00:35:52,640 --> 00:35:55,279
Speaker 2: they also understood the profound gift of nuclear energy, an

691
00:35:55,360 --> 00:35:58,680
Speaker 2: endless supply of relatively green and clean energy, if I

692
00:35:58,719 --> 00:36:01,640
Speaker 2: can use that phrase, but it was also deadly could

693
00:36:01,719 --> 00:36:04,719
Speaker 2: destroy the entire planet. So that I think is what

694
00:36:04,840 --> 00:36:07,719
Speaker 2: this debate falls into. And from my optic, you know,

695
00:36:07,760 --> 00:36:10,279
Speaker 2: it's real shame that this is getting politicized because the

696
00:36:10,360 --> 00:36:13,399
Speaker 2: science is there that we can modify the weather. Whether

697
00:36:13,440 --> 00:36:15,120
Speaker 2: or not we can control it, that's up for debate.

698
00:36:15,239 --> 00:36:18,360
Speaker 2: The US military, US government, private enterprise are all trying

699
00:36:18,400 --> 00:36:21,640
Speaker 2: to control it, not just manipulate it all around the world.

700
00:36:22,040 --> 00:36:25,280
Speaker 2: And we should really be having this conversation as sober adults,

701
00:36:25,400 --> 00:36:27,920
Speaker 2: using good science, a good logic and reason to talk

702
00:36:27,960 --> 00:36:30,279
Speaker 2: about should we be doing it? What are the dangers

703
00:36:30,440 --> 00:36:30,719
Speaker 2: of that?

704
00:36:32,120 --> 00:36:35,040
Speaker 4: Yeah? Oh so I have a question for you. How

705
00:36:35,040 --> 00:36:37,719
Speaker 4: the hell do you know all of this information? Like

706
00:36:37,800 --> 00:36:40,279
Speaker 4: when you when you go to like Thanksgiving dinner, do

707
00:36:40,320 --> 00:36:42,440
Speaker 4: you have a conversations with your family?

708
00:36:42,880 --> 00:36:45,600
Speaker 2: Yeah, everyone leaves. Everyone leaves because they're like, we just

709
00:36:45,640 --> 00:36:48,480
Speaker 2: want the game. I'm on cocktail number four in this

710
00:36:48,960 --> 00:36:51,280
Speaker 2: asshole is talking about you know, eighteen ninety one Civil

711
00:36:51,320 --> 00:36:52,800
Speaker 2: war weather really.

712
00:36:52,600 --> 00:36:55,319
Speaker 4: Problem the hell do you? How does anyone have all

713
00:36:55,360 --> 00:36:57,960
Speaker 4: of this? Zoo? How do anyone every place travel?

714
00:36:58,000 --> 00:36:59,840
Speaker 2: We're having a good time over here, Brian's bust and

715
00:36:59,840 --> 00:37:02,000
Speaker 2: every about these shops and talking about the serious stuff.

716
00:37:02,040 --> 00:37:04,920
Speaker 4: Oh, there goes Brian, just talking about this the war

717
00:37:05,040 --> 00:37:11,520
Speaker 4: weather and save the world again. Brian, Uh, absolutely unbelievable knowledge.

718
00:37:11,760 --> 00:37:14,560
Speaker 4: Here I am talking about it in the most superficial,

719
00:37:14,640 --> 00:37:18,600
Speaker 4: knuckle knuckle dragger way ever. Oh yeah, weather wars. Yeah,

720
00:37:18,640 --> 00:37:21,640
Speaker 4: and here you are giving a global history lesson of

721
00:37:21,760 --> 00:37:24,600
Speaker 4: not only like, yes, it's been happening since well before

722
00:37:24,640 --> 00:37:27,239
Speaker 4: the Civil War, other countries are doing it, and also

723
00:37:27,360 --> 00:37:30,480
Speaker 4: science backs it up. That's that's insane to me.

724
00:37:31,080 --> 00:37:34,000
Speaker 2: Yeah, well, this is the if we had somebody, if

725
00:37:34,000 --> 00:37:36,160
Speaker 2: I may, a guy like JD. Vance who can actually

726
00:37:36,320 --> 00:37:38,640
Speaker 2: you know, go to the mic and say all right, look,

727
00:37:38,719 --> 00:37:41,480
Speaker 2: let's be adults and have this conversation and have a

728
00:37:41,520 --> 00:37:44,719
Speaker 2: smart and thoughtful, informed factor of in conversation about this,

729
00:37:45,040 --> 00:37:47,359
Speaker 2: and let's declassify some stuff. Let's see what we're doing,

730
00:37:47,440 --> 00:37:49,399
Speaker 2: let's talk about what we know other governments are doing,

731
00:37:49,600 --> 00:37:51,880
Speaker 2: because this is really important. You want to have this

732
00:37:51,880 --> 00:37:54,759
Speaker 2: conversation before the equivalent of developing a nuclear bomb and

733
00:37:54,800 --> 00:37:57,600
Speaker 2: something very horrible happens, or hey what about what what

734
00:37:57,640 --> 00:38:00,120
Speaker 2: did we just experience in Wuhan? But were there there

735
00:38:00,120 --> 00:38:03,080
Speaker 2: maybe some some viral modifications going on there for whatever

736
00:38:03,239 --> 00:38:06,560
Speaker 2: apparent scientific reasons that we want to justify. Fine, but

737
00:38:06,640 --> 00:38:10,120
Speaker 2: it created likely an awful global pandemic. So this is

738
00:38:10,160 --> 00:38:13,000
Speaker 2: the kind of stuff I'm not a fan of. Ironically enough,

739
00:38:13,080 --> 00:38:14,799
Speaker 2: keeping stuff secret when it comes to a lot of

740
00:38:14,800 --> 00:38:16,719
Speaker 2: these things. I did work with the CIA, so I

741
00:38:16,800 --> 00:38:18,160
Speaker 2: understand the importance of secrecy.

742
00:38:18,719 --> 00:38:21,520
Speaker 4: But when it comes to this everything secret now, Brian everything,

743
00:38:21,560 --> 00:38:23,759
Speaker 4: It's like there's a yeah, classification problem, and.

744
00:38:24,280 --> 00:38:26,400
Speaker 2: That is another huge issue. But the bottom line is

745
00:38:26,480 --> 00:38:29,000
Speaker 2: I'm not afraid of having a truthful conversation. Let's have

746
00:38:29,040 --> 00:38:31,680
Speaker 2: the truth, Let's debate it, and if it's smart, then

747
00:38:31,840 --> 00:38:34,040
Speaker 2: let's think about it. Or if there's a cost, there

748
00:38:34,080 --> 00:38:36,560
Speaker 2: are pros and cons, let's have that conversation too. There

749
00:38:36,600 --> 00:38:38,960
Speaker 2: was a recent study that came out of the University

750
00:38:38,960 --> 00:38:42,120
Speaker 2: of Arizona actually here in Tucson, were they were talking

751
00:38:42,120 --> 00:38:44,960
Speaker 2: about we could do a lot of weather modifications, but

752
00:38:45,080 --> 00:38:48,200
Speaker 2: it'll screw up the weather in western Europe and cause

753
00:38:48,280 --> 00:38:51,360
Speaker 2: flooding there. So it's like, okay, well, then let's have

754
00:38:51,440 --> 00:38:55,839
Speaker 2: that conversation. Is weather modification geoengineering appropriate? Can we really

755
00:38:55,880 --> 00:38:57,640
Speaker 2: control the weather? We might be to be able to

756
00:38:58,360 --> 00:39:02,160
Speaker 2: manipulate it, but not necessarily control it, and that is important.

757
00:39:02,400 --> 00:39:06,200
Speaker 4: Okay, back with Brian Dean Wright, host of Inside a,

758
00:39:06,719 --> 00:39:10,560
Speaker 4: host of The Right Report Daily podcast, was pivoting back

759
00:39:10,600 --> 00:39:13,760
Speaker 4: to Rich Barres on Wednesday, host of The Right Report

760
00:39:13,760 --> 00:39:18,680
Speaker 4: and Daily podcast, and former CIA operations officers. So, Elon Musk, right, Yeah,

761
00:39:18,760 --> 00:39:22,520
Speaker 4: I'm at the Button rally with Trump on Saturday, which

762
00:39:22,600 --> 00:39:24,680
Speaker 4: was crazy on a lot of different levels.

763
00:39:24,680 --> 00:39:27,000
Speaker 2: Brian, by the way, brilliant speech. Can we just acknowledge

764
00:39:27,000 --> 00:39:29,720
Speaker 2: that for a second. I'm so proud of you. Anyway,

765
00:39:29,760 --> 00:39:34,480
Speaker 2: Thanks man, No no more compliments for you. Keep going well,

766
00:39:34,520 --> 00:39:34,920
Speaker 2: thank you.

767
00:39:35,000 --> 00:39:38,120
Speaker 4: I appreciate you saying that. I yeah, just wanted to

768
00:39:38,160 --> 00:39:42,080
Speaker 4: commemorate the people of Butler. They're amazing people. And Elon

769
00:39:42,160 --> 00:39:45,160
Speaker 4: Musk shows up and he gets up on stage and

770
00:39:45,200 --> 00:39:48,960
Speaker 4: he's like jumping around like he's a kid, and you know,

771
00:39:49,000 --> 00:39:51,160
Speaker 4: he gets in front of the podium and you can

772
00:39:51,200 --> 00:39:53,000
Speaker 4: tell this is like the richest guy in the world,

773
00:39:53,120 --> 00:39:57,759
Speaker 4: right or one of them, and he's clearly nervous. He

774
00:39:57,880 --> 00:40:00,480
Speaker 4: was very, very nervous to talk to that group, and

775
00:40:00,560 --> 00:40:02,960
Speaker 4: I just thought it was interesting. He's clearly the richest,

776
00:40:03,000 --> 00:40:05,000
Speaker 4: one of the most powerful people on Earth, and he's

777
00:40:05,040 --> 00:40:06,800
Speaker 4: nervous to talk in front of a crowd, which I

778
00:40:06,800 --> 00:40:11,239
Speaker 4: thought was interesting. But he's not only is he involved

779
00:40:11,280 --> 00:40:14,440
Speaker 4: here politically, and I think he's on the right side.

780
00:40:14,480 --> 00:40:16,279
Speaker 4: I know he's on the right side of history here,

781
00:40:16,800 --> 00:40:20,640
Speaker 4: but he's also doing all of these things that will

782
00:40:20,719 --> 00:40:24,040
Speaker 4: quite literally change the world. And that's not an overstatement.

783
00:40:24,080 --> 00:40:26,080
Speaker 4: I mean some of the stuff that he's doing with

784
00:40:26,200 --> 00:40:31,280
Speaker 4: rocket science is just unbelievable. He was talking about colony

785
00:40:31,320 --> 00:40:35,480
Speaker 4: on Mars within the next four years. Yesterday he unveiled

786
00:40:35,520 --> 00:40:39,160
Speaker 4: some stuff like in terms of artificial intelligence with robots,

787
00:40:39,520 --> 00:40:43,319
Speaker 4: self driving cabs and buses, things that look like they're

788
00:40:43,400 --> 00:40:47,759
Speaker 4: straight out of a sci fi book or something like that,

789
00:40:47,840 --> 00:40:53,719
Speaker 4: And all I kept thinking was, you know, some sort

790
00:40:53,760 --> 00:40:57,880
Speaker 4: of super intelligent artificial intelligence and robot form. I've seen

791
00:40:57,880 --> 00:41:00,640
Speaker 4: this movie before and it doesn't go well a humans.

792
00:41:00,760 --> 00:41:03,520
Speaker 4: So like, check this out, Brian, look at this.

793
00:41:03,520 --> 00:41:05,560
Speaker 2: This is the robot and saying it's even talking, and

794
00:41:05,960 --> 00:41:06,520
Speaker 2: my friend.

795
00:41:06,360 --> 00:41:11,680
Speaker 4: John, listen to this. That's the robot talk here. Oh hello, John,

796
00:41:12,000 --> 00:41:12,600
Speaker 4: how are you?

797
00:41:13,719 --> 00:41:14,280
Speaker 6: It is crazy.

798
00:41:14,320 --> 00:41:18,040
Speaker 4: I'm talking to robots from Santase, probably from where you

799
00:41:18,080 --> 00:41:19,560
Speaker 4: were from where you were born.

800
00:41:19,360 --> 00:41:21,240
Speaker 6: In the Silicon Valley. Wonderful.

801
00:41:21,360 --> 00:41:23,200
Speaker 2: Where do you live in walk.

802
00:41:26,480 --> 00:41:30,040
Speaker 6: No, I live in Los Atto, wonderful.

803
00:41:30,280 --> 00:41:36,600
Speaker 4: Yeah, where do you live? There is? Where do you live?

804
00:41:37,000 --> 00:41:39,680
Speaker 4: Also at the current figures?

805
00:41:40,200 --> 00:41:42,000
Speaker 6: Yeah, this is this is awesome.

806
00:41:42,560 --> 00:41:43,160
Speaker 7: That's where they.

807
00:41:43,080 --> 00:41:45,000
Speaker 4: Trade us, that where we get our bills, and.

808
00:41:45,000 --> 00:41:45,759
Speaker 2: That's where we look at.

809
00:41:46,520 --> 00:41:48,879
Speaker 4: I'm sorry, but that's it. That's insane to me. He's

810
00:41:48,920 --> 00:41:52,480
Speaker 4: even saying, well, I live like almost as if it's thinking.

811
00:41:53,239 --> 00:41:55,880
Speaker 4: And I saw, I mean, I saw a whole host

812
00:41:55,880 --> 00:41:58,239
Speaker 4: of videos like this of people like talking to one

813
00:41:58,239 --> 00:42:00,680
Speaker 4: of these things behind the bar that want a drink,

814
00:42:00,880 --> 00:42:03,400
Speaker 4: wearing a cowboy hat. I'm glad to see that the

815
00:42:03,440 --> 00:42:06,200
Speaker 4: stop and chat with a robot is also as uncomfortable

816
00:42:06,200 --> 00:42:09,000
Speaker 4: it is with an actual human. So there's that. I'm

817
00:42:09,040 --> 00:42:12,600
Speaker 4: just saying, how does any of this bode well? You

818
00:42:12,600 --> 00:42:15,080
Speaker 4: see an army in these things. Elon's marching them out

819
00:42:15,120 --> 00:42:17,279
Speaker 4: like he's Tony Stark or something. And I'm thinking, Like

820
00:42:18,080 --> 00:42:22,000
Speaker 4: you talked about not dabbling with the weather because you

821
00:42:22,040 --> 00:42:25,080
Speaker 4: can't control it, this also seems like one of those

822
00:42:25,120 --> 00:42:26,680
Speaker 4: things you can't really control.

823
00:42:27,200 --> 00:42:28,480
Speaker 2: So I'm gonna tell you this is one of the

824
00:42:28,480 --> 00:42:30,239
Speaker 2: things that I actually looked at when I was at

825
00:42:30,239 --> 00:42:32,000
Speaker 2: the CIA. I don't know if I've ever told you this,

826
00:42:32,600 --> 00:42:35,520
Speaker 2: but here's the upshot. We've got robotics, which we've had

827
00:42:35,520 --> 00:42:38,440
Speaker 2: for a long long time, plus automation and then this

828
00:42:38,560 --> 00:42:42,279
Speaker 2: idea of machine learning or AI. And what's happening right now.

829
00:42:42,360 --> 00:42:44,080
Speaker 2: What you just saw in that clip is we are

830
00:42:44,120 --> 00:42:48,800
Speaker 2: starting to combine a body with a super intelligent mind.

831
00:42:49,280 --> 00:42:52,759
Speaker 2: We are creating a different kind of life. Well, that's incredible.

832
00:42:53,719 --> 00:42:56,759
Speaker 2: All kinds of different implications of that and for that,

833
00:42:56,800 --> 00:43:00,319
Speaker 2: from warfare to economics to the purpose of humans, but

834
00:43:00,360 --> 00:43:02,400
Speaker 2: also some really incredible things like we can use that

835
00:43:02,440 --> 00:43:05,279
Speaker 2: stuff to explore the galaxy because it's not a carbon

836
00:43:05,320 --> 00:43:06,920
Speaker 2: based life form, so it's not going to get burnt

837
00:43:07,000 --> 00:43:09,399
Speaker 2: up with you know, solar radiation, or it doesn't need food, etc.

838
00:43:10,000 --> 00:43:12,000
Speaker 2: So there are lots of wonderful things to think about

839
00:43:12,000 --> 00:43:15,200
Speaker 2: with this technology. But imagine for a moment in terms

840
00:43:15,200 --> 00:43:17,320
Speaker 2: of asking people right now, you know, why should I

841
00:43:17,360 --> 00:43:19,960
Speaker 2: care about this? This seems cool or interesting. Let's just

842
00:43:19,960 --> 00:43:24,120
Speaker 2: think about one issue immigration. What you just saw is

843
00:43:24,160 --> 00:43:28,520
Speaker 2: a clip of less human labor. Because if you can

844
00:43:28,680 --> 00:43:31,040
Speaker 2: you can find whatever percentage of a human brain and

845
00:43:31,040 --> 00:43:33,400
Speaker 2: put it inside of a human body or humanoid body,

846
00:43:34,160 --> 00:43:38,080
Speaker 2: what's your value? Because you need bathroom breaks, you need

847
00:43:38,080 --> 00:43:40,799
Speaker 2: a salary, you need benefits. Now you know I need

848
00:43:40,800 --> 00:43:43,040
Speaker 2: to take some time off go on vacation. Robots don't.

849
00:43:43,440 --> 00:43:45,799
Speaker 2: They don't at all. So that's why this is really

850
00:43:45,800 --> 00:43:47,440
Speaker 2: such a big deal. This challenge is the need for

851
00:43:47,520 --> 00:43:50,320
Speaker 2: human labor or as much of it. So when we

852
00:43:50,360 --> 00:43:52,680
Speaker 2: talk about the immigration crisis in this country and the

853
00:43:52,719 --> 00:43:54,879
Speaker 2: southern border, we think about how many migrants we need

854
00:43:54,920 --> 00:43:57,240
Speaker 2: in this country. We talk about like the demographics collapse.

855
00:43:57,320 --> 00:43:59,279
Speaker 2: Elon Musk's to ask a lot about you know, we

856
00:43:59,320 --> 00:44:02,600
Speaker 2: need more human more babies. Maybe that's true, maybe, but

857
00:44:02,760 --> 00:44:05,359
Speaker 2: when you create lots of robots, they can do what

858
00:44:05,440 --> 00:44:08,520
Speaker 2: humans can do for an exceptionally tiny cost, certainly over

859
00:44:08,560 --> 00:44:12,160
Speaker 2: the life of human What valu does human labor have

860
00:44:12,320 --> 00:44:14,480
Speaker 2: when we can replace all of it? So that should

861
00:44:14,520 --> 00:44:17,680
Speaker 2: be right now, what are the critical conversations about our

862
00:44:17,719 --> 00:44:21,080
Speaker 2: immigration policy? And it's why I believe that we should

863
00:44:21,080 --> 00:44:22,960
Speaker 2: seal up that dag on southern border and kick a

864
00:44:22,960 --> 00:44:25,040
Speaker 2: lot of people out because I see what Elon Musk

865
00:44:25,120 --> 00:44:26,600
Speaker 2: is doing, I see what a lot of these other

866
00:44:26,640 --> 00:44:29,080
Speaker 2: guys are doing. By the way, one of the computer

867
00:44:29,160 --> 00:44:33,000
Speaker 2: chip it's called a GPU that powers this robot, and

868
00:44:33,040 --> 00:44:37,000
Speaker 2: it powers the AI revolution, artificial intelligence revolution. They are

869
00:44:37,040 --> 00:44:40,560
Speaker 2: pouring in trillions of dollars over the next couple of

870
00:44:40,600 --> 00:44:43,000
Speaker 2: years into these chips. That shows you there's a major

871
00:44:43,040 --> 00:44:46,560
Speaker 2: bet on this technology. So our immigration policy should be

872
00:44:46,560 --> 00:44:48,160
Speaker 2: a hell of a lot smarter because of where this

873
00:44:48,280 --> 00:44:50,920
Speaker 2: is going and very soon. Oh by the way, how

874
00:44:50,920 --> 00:44:53,799
Speaker 2: does this impact other countries? Some of our allies that

875
00:44:53,920 --> 00:44:56,799
Speaker 2: maybe use a lot of manual labor and that's what

876
00:44:56,840 --> 00:44:59,000
Speaker 2: most of their economy is. Well, what happens when you

877
00:44:59,040 --> 00:45:02,040
Speaker 2: start losing ten, twenty, thirty sixty percent of your jobs

878
00:45:02,080 --> 00:45:05,359
Speaker 2: and Ethiopia or Guatemala or whatever, what are all those

879
00:45:05,400 --> 00:45:08,160
Speaker 2: people gonna do? It raises a lot of really important,

880
00:45:08,280 --> 00:45:10,640
Speaker 2: very existential questions about human labor, and we could go

881
00:45:10,680 --> 00:45:13,200
Speaker 2: through a really intense period of time from a national

882
00:45:13,239 --> 00:45:17,680
Speaker 2: security perspective as well. So here I go again being

883
00:45:17,680 --> 00:45:19,960
Speaker 2: the Thanksgiving guy who's getting out and everybody's like, I'm

884
00:45:19,960 --> 00:45:21,000
Speaker 2: out of here. I just wanted the turkey in the

885
00:45:21,040 --> 00:45:21,640
Speaker 2: football game.

886
00:45:22,520 --> 00:45:24,640
Speaker 4: But really I can see that the robot doesn't wear

887
00:45:24,680 --> 00:45:26,799
Speaker 4: pants like you do from the waist down. So yeah,

888
00:45:26,840 --> 00:45:27,399
Speaker 4: that's a shame.

889
00:45:28,480 --> 00:45:31,160
Speaker 2: That's a shame. No, but look at it. It's a

890
00:45:31,200 --> 00:45:34,520
Speaker 2: really amazing moment. It's right. It's almost like the beginning

891
00:45:34,560 --> 00:45:38,080
Speaker 2: of the Industrial Revolution, where there's so many possibilities but

892
00:45:38,760 --> 00:45:42,520
Speaker 2: also so many profound, frightening things that could happen. And

893
00:45:42,560 --> 00:45:45,719
Speaker 2: you have, for instance, the port shutdowns last couple of weeks.

894
00:45:45,800 --> 00:45:48,080
Speaker 4: I was just gonna say, the port workers should be really.

895
00:45:47,880 --> 00:45:50,720
Speaker 2: Worried, right, so this is not just a port situation.

896
00:45:50,960 --> 00:45:52,640
Speaker 2: One of the things that we know over the past month,

897
00:45:52,920 --> 00:45:54,719
Speaker 2: some of the data from the University I'm sorry, the

898
00:45:54,960 --> 00:45:59,160
Speaker 2: Labor Department shows that the unemployment rates for IT professionals

899
00:45:59,239 --> 00:46:01,640
Speaker 2: is increasing. It's something about six and a half percent

900
00:46:01,719 --> 00:46:04,640
Speaker 2: right now. Why because their jobs can be done by

901
00:46:04,680 --> 00:46:07,239
Speaker 2: artificial intelligence. They don't need as many computer coders, they

902
00:46:07,280 --> 00:46:09,560
Speaker 2: don't need as many people to do the jobs because

903
00:46:09,560 --> 00:46:11,239
Speaker 2: we're be able to automate that. So you got a

904
00:46:11,239 --> 00:46:13,920
Speaker 2: lot of IT professionals being tossed out on the street.

905
00:46:14,320 --> 00:46:16,279
Speaker 2: So there are a lot of things happening right now

906
00:46:16,320 --> 00:46:18,279
Speaker 2: that we need some really smart leadership in the White

907
00:46:18,280 --> 00:46:20,760
Speaker 2: House to talk about this with the American people, change

908
00:46:20,840 --> 00:46:24,200
Speaker 2: our policies. Unfortunately, the current guy there has dementia, so

909
00:46:24,239 --> 00:46:27,200
Speaker 2: that's unfortunate. And then the other guy who's currently running,

910
00:46:27,280 --> 00:46:29,160
Speaker 2: she does her little hams ring working to get up

911
00:46:29,160 --> 00:46:31,319
Speaker 2: there either. So I really think that this election is

912
00:46:31,320 --> 00:46:33,319
Speaker 2: important for a lot of reasons, and I think that

913
00:46:33,360 --> 00:46:36,760
Speaker 2: Elon Musk understands that. That's why he is so deeply

914
00:46:36,800 --> 00:46:39,719
Speaker 2: committed to the Trump campaign and to JD. Vance. He

915
00:46:39,880 --> 00:46:42,719
Speaker 2: gets it that this moment in history requires a new

916
00:46:42,800 --> 00:46:45,080
Speaker 2: kind of leadership, and we're not going to get it

917
00:46:45,080 --> 00:46:46,560
Speaker 2: with the Democrat Party. We're just not.

918
00:46:46,880 --> 00:46:48,520
Speaker 4: I mean, there's no way. I mean, like, just think

919
00:46:48,560 --> 00:46:52,920
Speaker 4: about how this technology will revolutionize the battlefield, and by

920
00:46:52,960 --> 00:46:56,360
Speaker 4: the way, how important it is tactically and strategically for

921
00:46:56,480 --> 00:46:58,920
Speaker 4: us to get our hands on it first, you know,

922
00:46:59,360 --> 00:47:01,680
Speaker 4: I mean, this is the kind of stuff that you like,

923
00:47:02,719 --> 00:47:06,680
Speaker 4: if you're, you know, a human on the battlefield facing

924
00:47:06,719 --> 00:47:10,080
Speaker 4: down a robot, can you imagine the psychological tolld that

925
00:47:10,080 --> 00:47:11,920
Speaker 4: that would. I know that sounds crazy, but we just

926
00:47:12,000 --> 00:47:15,560
Speaker 4: saw it, like we're not that far away from that. Hey,

927
00:47:15,600 --> 00:47:18,080
Speaker 4: my life, I'm a human and if this robot I'm

928
00:47:18,080 --> 00:47:20,279
Speaker 4: getting killed by something. I mean, it just seems so

929
00:47:20,560 --> 00:47:23,239
Speaker 4: like but it's only happening right now, you know, sa

930
00:47:23,560 --> 00:47:26,680
Speaker 4: the morale of who you're fighting. You know, look, this

931
00:47:26,760 --> 00:47:28,760
Speaker 4: is not a future problem. This is a right now problem.

932
00:47:28,800 --> 00:47:29,520
Speaker 4: Go to Ukraine.

933
00:47:29,880 --> 00:47:34,120
Speaker 2: The world's drone operators are infusing their drones with artificial

934
00:47:34,160 --> 00:47:37,359
Speaker 2: intelligence and they're engaging in swarm operations. Ask the guys

935
00:47:37,360 --> 00:47:39,400
Speaker 2: who are fighting on the Russian side or the Ukrainian

936
00:47:39,440 --> 00:47:42,040
Speaker 2: side of what that's like. It's a nightmare. These drones

937
00:47:42,040 --> 00:47:45,160
Speaker 2: are dropping molten lava, molten rock on top of people,

938
00:47:45,400 --> 00:47:48,719
Speaker 2: right They can carry these buckets. So it's happening right now.

939
00:47:48,800 --> 00:47:52,279
Speaker 2: Using artificial intelligence, you can actually release these drones and

940
00:47:52,320 --> 00:47:55,239
Speaker 2: they talk amongst themselves, they do their own target identification.

941
00:47:55,320 --> 00:47:57,560
Speaker 2: If the connection is cut with the human they continue

942
00:47:57,560 --> 00:48:02,040
Speaker 2: to fly forward. That's happening right now. So this new

943
00:48:02,120 --> 00:48:04,480
Speaker 2: era that we're launching into, it's really important to think

944
00:48:04,480 --> 00:48:06,279
Speaker 2: about and to talk about. I know, we get caught

945
00:48:06,320 --> 00:48:07,920
Speaker 2: up on lots of other things, but this really is

946
00:48:08,000 --> 00:48:09,960
Speaker 2: a big deal. So I'm glad you brought it up.

947
00:48:10,040 --> 00:48:12,560
Speaker 2: And by the way, energy plays into this too. How

948
00:48:12,560 --> 00:48:14,520
Speaker 2: are you going to power the AI revolution if you're

949
00:48:14,520 --> 00:48:16,880
Speaker 2: shutting down all of your nuclear or coal or natural

950
00:48:16,920 --> 00:48:20,160
Speaker 2: gas plants and you're just using sunshine and wind and

951
00:48:20,239 --> 00:48:23,200
Speaker 2: now that doesn't necessarily work all the time. So that's

952
00:48:23,239 --> 00:48:25,439
Speaker 2: what the Chinese are doing. They're investing in over thirty

953
00:48:25,520 --> 00:48:28,480
Speaker 2: nuclear power plants right now, and we're shutting our stuff down,

954
00:48:28,520 --> 00:48:31,080
Speaker 2: our liable stuff, because they want to.

955
00:48:31,040 --> 00:48:31,719
Speaker 4: Win that war.

956
00:48:31,880 --> 00:48:36,040
Speaker 2: They're not stupid, right from weather modification to the Ai Revolution,

957
00:48:36,120 --> 00:48:38,279
Speaker 2: the Chinese ain't playing. They know what's going on. They

958
00:48:38,320 --> 00:48:40,239
Speaker 2: know the future, and so does Elon Musk and that's

959
00:48:40,239 --> 00:48:41,080
Speaker 2: why he's back and truck.

960
00:48:41,360 --> 00:48:43,360
Speaker 4: I mean, and let's talk about China for a second,

961
00:48:43,360 --> 00:48:46,279
Speaker 4: and the cyber attacks and Salt Typhoon and access to

962
00:48:46,440 --> 00:48:49,920
Speaker 4: Verizon and all of this stuff, like give us a

963
00:48:49,920 --> 00:48:52,120
Speaker 4: sense of what's going on with that, all right.

964
00:48:52,160 --> 00:48:53,080
Speaker 2: So one of the things that you and I have

965
00:48:53,120 --> 00:48:55,400
Speaker 2: talked about over the summer is that this idea that

966
00:48:55,719 --> 00:48:58,960
Speaker 2: volt Typhoon is a Chinese hacking group and they've gotten

967
00:48:58,960 --> 00:49:02,680
Speaker 2: inside of our water systems, our electrical systems, pipelines, and

968
00:49:02,719 --> 00:49:05,000
Speaker 2: our ports. The idea is that they want to do

969
00:49:05,040 --> 00:49:08,239
Speaker 2: exactly what the Israelis did with their walkie talkies and

970
00:49:08,640 --> 00:49:11,800
Speaker 2: their pages, which is flip the switch and everything shuts

971
00:49:11,840 --> 00:49:13,520
Speaker 2: down or blows up on what have you. So that's

972
00:49:13,520 --> 00:49:16,960
Speaker 2: the bolt Typhoon cyber hacking group. Well, there have been

973
00:49:16,960 --> 00:49:19,839
Speaker 2: a few others. There's a one called flax Typhoon. They've

974
00:49:19,880 --> 00:49:23,880
Speaker 2: gotten into different Internet tethered devices like our cameras or

975
00:49:24,040 --> 00:49:26,440
Speaker 2: refrigerators and that kind of stuff. That was over the

976
00:49:26,480 --> 00:49:29,640
Speaker 2: past six weeks as well. But this latest one, it's

977
00:49:29,640 --> 00:49:33,239
Speaker 2: a bad deal. It's called salt Typhoon. Microsoft is naming these,

978
00:49:33,280 --> 00:49:36,360
Speaker 2: by the way, So salt Typhoon. What they have done

979
00:49:36,719 --> 00:49:39,080
Speaker 2: is they've gotten into the system. The Chinese have gotten

980
00:49:39,120 --> 00:49:41,960
Speaker 2: into our system where the Department of Justice and the

981
00:49:42,040 --> 00:49:47,120
Speaker 2: FBI requests information from our big tech providers like Verizon

982
00:49:47,920 --> 00:49:52,000
Speaker 2: or T Mobile or Sentry Link. Those guys then have

983
00:49:52,080 --> 00:49:56,080
Speaker 2: to comply with those requests things like surveillance or Internet

984
00:49:56,160 --> 00:49:57,960
Speaker 2: data and all the rest of it. So the Chinese

985
00:49:58,000 --> 00:49:59,920
Speaker 2: were able to get into that system with the FBI

986
00:50:00,160 --> 00:50:03,000
Speaker 2: or the Department of Justice request that information. Why is

987
00:50:03,000 --> 00:50:06,000
Speaker 2: that a big deal? Well, now the Chinese have our

988
00:50:06,160 --> 00:50:09,759
Speaker 2: knowledge of who we are looking at, who we're investigating from, say,

989
00:50:09,760 --> 00:50:13,960
Speaker 2: are white collar crimes that would include not only our businessmen,

990
00:50:14,200 --> 00:50:17,319
Speaker 2: but our politicians their staff as the Department of Justice

991
00:50:17,320 --> 00:50:20,640
Speaker 2: and the FBI are investigating them. Well, what might Beijing

992
00:50:20,760 --> 00:50:24,520
Speaker 2: do that insider information. Ah, maybe christ some blackmail ops

993
00:50:24,520 --> 00:50:26,680
Speaker 2: and approach people say hey, we know you're doing with

994
00:50:26,719 --> 00:50:29,239
Speaker 2: your computer or your phone, we know the shenanigans you're

995
00:50:29,440 --> 00:50:31,560
Speaker 2: engaging in. Work with us and we'll help you this

996
00:50:31,600 --> 00:50:34,600
Speaker 2: problem go with. They're also they've also hacked into some

997
00:50:34,680 --> 00:50:38,080
Speaker 2: information regarding not just this white collar crime, but also

998
00:50:38,120 --> 00:50:42,520
Speaker 2: counter espionage and counter intel operations or investigations. So now

999
00:50:42,920 --> 00:50:46,160
Speaker 2: the Chinese know or did some degree though if there

1000
00:50:46,160 --> 00:50:48,480
Speaker 2: are Chinese spies inside of this country, whether or not

1001
00:50:48,520 --> 00:50:51,040
Speaker 2: they're under our scope, or maybe the Russians under our

1002
00:50:51,040 --> 00:50:54,360
Speaker 2: scope because they got into this wire tapping system. So

1003
00:50:54,480 --> 00:50:57,280
Speaker 2: this is Salt Typhoon. It was discovered about three weeks ago,

1004
00:50:57,480 --> 00:50:59,760
Speaker 2: or at least the public side of it was offered

1005
00:50:59,800 --> 00:51:03,080
Speaker 2: up to American people. It's a bad deal. Like Bolt

1006
00:51:03,080 --> 00:51:05,200
Speaker 2: Typhoon and the rest of it. The Chinese are very

1007
00:51:05,320 --> 00:51:07,920
Speaker 2: very good cyber operators. We are too. We just have

1008
00:51:07,960 --> 00:51:10,880
Speaker 2: really terrible leadership in the White House not releasing some

1009
00:51:10,920 --> 00:51:13,920
Speaker 2: of our best tools against the Chinese. That's a political decision.

1010
00:51:13,960 --> 00:51:15,799
Speaker 2: We could fight. So that's good news. If we get

1011
00:51:15,840 --> 00:51:18,160
Speaker 2: new leadership, we can do something about all of this stuff.

1012
00:51:18,160 --> 00:51:21,360
Speaker 2: But right now we are so very vulnerable.

1013
00:51:22,200 --> 00:51:25,360
Speaker 4: So at the height of the Afghan surrender, I was

1014
00:51:25,360 --> 00:51:28,719
Speaker 4: screaming from the rooftops that we can't let unvetted Afghans

1015
00:51:28,719 --> 00:51:29,480
Speaker 4: into our country.

1016
00:51:29,520 --> 00:51:30,280
Speaker 2: We just can't.

1017
00:51:30,320 --> 00:51:33,520
Speaker 4: Like they don't know when their own birthday is. It's

1018
00:51:33,520 --> 00:51:37,040
Speaker 4: not like there's a Social Security office where they vet people.

1019
00:51:37,120 --> 00:51:40,319
Speaker 4: They you know, your histories, they commit And I said, like,

1020
00:51:40,360 --> 00:51:42,279
Speaker 4: you just don't know who's coming into our country. So

1021
00:51:42,360 --> 00:51:45,960
Speaker 4: the FBI apparently a couple of days ago, arrested somebody,

1022
00:51:46,120 --> 00:51:49,360
Speaker 4: an Afghan who had come into this country during the

1023
00:51:49,360 --> 00:51:54,080
Speaker 4: collapse of Afghanistan plotting an election day terrorist attack, either

1024
00:51:54,120 --> 00:51:57,680
Speaker 4: blowing up or shooting a bunch of people. Give us

1025
00:51:57,719 --> 00:52:01,520
Speaker 4: an inside look into how something like this happened.

1026
00:52:02,360 --> 00:52:04,520
Speaker 2: Look, this is such a disaster, not just because of

1027
00:52:04,560 --> 00:52:06,439
Speaker 2: this case, but what it means for the country because

1028
00:52:06,480 --> 00:52:08,839
Speaker 2: we have hundreds of thousands, millions of people who've come

1029
00:52:08,880 --> 00:52:11,479
Speaker 2: in using one of the two systems that this guy

1030
00:52:11,760 --> 00:52:14,319
Speaker 2: came to this country, all right, So yes, he comes

1031
00:52:14,400 --> 00:52:17,479
Speaker 2: into this nation in September of twenty twenty one under

1032
00:52:17,600 --> 00:52:21,040
Speaker 2: humanitarian parole, right because he worked for the CIA, So

1033
00:52:21,080 --> 00:52:24,160
Speaker 2: he was vetted in Afghanistan by the CIA. They then

1034
00:52:24,280 --> 00:52:27,440
Speaker 2: continually vetted him as he was employed in the CIA

1035
00:52:27,800 --> 00:52:31,399
Speaker 2: protecting a base or a station somewhere in Afghanistan. Then

1036
00:52:31,440 --> 00:52:33,759
Speaker 2: he gets vetted when he lands in September of twenty

1037
00:52:33,760 --> 00:52:37,000
Speaker 2: twenty one under humanitarian parole. Then he applies for something

1038
00:52:37,000 --> 00:52:40,160
Speaker 2: called a Special Immigrant Visa or SIV that has a

1039
00:52:40,200 --> 00:52:44,360
Speaker 2: lot more aggressive vetting processes. Right at the time, a

1040
00:52:44,360 --> 00:52:46,680
Speaker 2: lot of people said, well, wait a minute, those two things.

1041
00:52:46,719 --> 00:52:49,839
Speaker 2: Humanitarian parole, there's very little vetting, and that's true, there is,

1042
00:52:50,160 --> 00:52:52,600
Speaker 2: but the SIV there is more. But we're not very

1043
00:52:52,600 --> 00:52:54,839
Speaker 2: good at that vetting process. So don't allow all these

1044
00:52:54,920 --> 00:52:57,400
Speaker 2: Afghans in. This is a bad, bad deal. Let's be

1045
00:52:57,480 --> 00:52:59,960
Speaker 2: very very careful. Not one hundred and twenty five thousand.

1046
00:53:00,280 --> 00:53:02,239
Speaker 2: And that's exactly what the Biden White House did. They

1047
00:53:02,320 --> 00:53:04,560
Speaker 2: lived in over one hundred and twenty five thousand Afghans

1048
00:53:04,560 --> 00:53:09,080
Speaker 2: and did not sufficiently vet them. The Pentagon chief, of course,

1049
00:53:09,120 --> 00:53:11,600
Speaker 2: mister Lloyd Austin, said at the time, Oh, yes, they

1050
00:53:11,600 --> 00:53:14,600
Speaker 2: will come to this country, but they will be strictly vetted. Well,

1051
00:53:14,640 --> 00:53:16,799
Speaker 2: one of the guys is now this guy, Tall Hetty.

1052
00:53:16,920 --> 00:53:19,759
Speaker 2: He used in Oklahoma City. He was resettled there. He

1053
00:53:19,760 --> 00:53:23,560
Speaker 2: apparently was radicalized in this country. I don't buy that, sorry,

1054
00:53:23,680 --> 00:53:25,799
Speaker 2: but the points even if he were radicalized, what does

1055
00:53:25,840 --> 00:53:28,279
Speaker 2: that say. What does that say about one hundred and

1056
00:53:28,280 --> 00:53:30,480
Speaker 2: twenty five thousand Afghans are now in this country that

1057
00:53:30,520 --> 00:53:32,759
Speaker 2: they could be radicalized over two three years, nothing that

1058
00:53:32,880 --> 00:53:35,799
Speaker 2: they were vetted by the way. This guy he came

1059
00:53:35,840 --> 00:53:40,240
Speaker 2: initially under humanitarian parole. That program was nineteen fifty era

1060
00:53:40,400 --> 00:53:43,520
Speaker 2: program that was supposed to allow in handfuls of people

1061
00:53:43,560 --> 00:53:45,840
Speaker 2: each year. Like let's say a kiddo has cancer, we

1062
00:53:45,880 --> 00:53:47,239
Speaker 2: want to bring him in, don't have time for the

1063
00:53:47,320 --> 00:53:48,920
Speaker 2: visa process. We got got him and get him into

1064
00:53:48,920 --> 00:53:53,240
Speaker 2: the hospital. The Biden Hearers administration is using that thirty

1065
00:53:53,400 --> 00:53:57,120
Speaker 2: thousand people a month are coming into this country under

1066
00:53:57,160 --> 00:54:00,680
Speaker 2: that humanitarian parole program. It is so riightfle corruption and

1067
00:54:00,719 --> 00:54:02,920
Speaker 2: inability to vet people that they shut it down in

1068
00:54:03,000 --> 00:54:06,160
Speaker 2: August because there was so much corruption. One month they

1069
00:54:06,200 --> 00:54:08,080
Speaker 2: had to shut it down because all the sponsors for

1070
00:54:08,160 --> 00:54:12,719
Speaker 2: those humanitarian paroyees were actually but to shysters. So the

1071
00:54:12,760 --> 00:54:15,120
Speaker 2: other program to SIV program that's supposed to be much

1072
00:54:15,120 --> 00:54:17,960
Speaker 2: more aggressive, much more thoughtful in terms if it's vetting, Well,

1073
00:54:17,960 --> 00:54:19,600
Speaker 2: if that's not true and that didn't happen. Then we let

1074
00:54:19,600 --> 00:54:22,240
Speaker 2: this guy in. What about all the millions of people

1075
00:54:22,280 --> 00:54:24,440
Speaker 2: that supposedly we are vetting the gun in this country

1076
00:54:24,440 --> 00:54:26,759
Speaker 2: that the White House tells us they're vetting, they're not.

1077
00:54:27,320 --> 00:54:28,880
Speaker 2: And we know this. You and I talked about this.

1078
00:54:28,960 --> 00:54:31,000
Speaker 2: The databases where they vet these people, they don't talk

1079
00:54:31,040 --> 00:54:33,160
Speaker 2: to each other. We don't have connectivity to a lot

1080
00:54:33,160 --> 00:54:35,680
Speaker 2: of foreign databases, nor can we say that those foreign

1081
00:54:35,760 --> 00:54:39,480
Speaker 2: databases are even complete. So we have no idea who's

1082
00:54:39,480 --> 00:54:41,680
Speaker 2: coming into this country. And oh, by the way, we

1083
00:54:41,800 --> 00:54:44,520
Speaker 2: have hundreds of thousands of IDs that are being ditched

1084
00:54:44,840 --> 00:54:47,600
Speaker 2: at the border. The cartels are giving people new names

1085
00:54:47,640 --> 00:54:51,160
Speaker 2: and new identifications to come into the border. It's a mess.

1086
00:54:51,280 --> 00:54:54,560
Speaker 2: We've got a massive crisis. And that's what this case really,

1087
00:54:54,600 --> 00:54:57,600
Speaker 2: I think highlights, is the vetting's broken. We have millions

1088
00:54:57,640 --> 00:54:59,200
Speaker 2: of people in this country, we have no idea who

1089
00:54:59,200 --> 00:55:02,400
Speaker 2: they are, and they're gonna target us some percentage of them.

1090
00:55:02,400 --> 00:55:03,680
Speaker 2: Will It's gonna happen?

1091
00:55:04,200 --> 00:55:08,600
Speaker 4: God Okay, so Haitian deportation from the Dominican Republic. Switching gears, Yes,

1092
00:55:08,680 --> 00:55:12,840
Speaker 4: Switching gears is global intel update, like just going the lightning.

1093
00:55:12,920 --> 00:55:13,480
Speaker 4: Let's do it.

1094
00:55:13,680 --> 00:55:16,160
Speaker 2: All right, So, yes, we know that this country has

1095
00:55:16,200 --> 00:55:20,319
Speaker 2: some Haitians. Apparently they eat dogs and cats. The allegation is, well,

1096
00:55:20,400 --> 00:55:22,920
Speaker 2: there's a lot of them that they share an island

1097
00:55:22,920 --> 00:55:25,120
Speaker 2: of course with the Dominican Republic, and a lot of

1098
00:55:25,120 --> 00:55:28,600
Speaker 2: those Haitians have gone into the dr. Well, the president

1099
00:55:28,640 --> 00:55:31,719
Speaker 2: there has said enough, you guys are chocol block full

1100
00:55:31,800 --> 00:55:33,879
Speaker 2: of criminals and people that we don't like, so get

1101
00:55:33,880 --> 00:55:36,719
Speaker 2: the hell out. And so he is now deporting ten

1102
00:55:36,800 --> 00:55:40,160
Speaker 2: thousand Haitians a week, saying get out of my country.

1103
00:55:40,239 --> 00:55:42,600
Speaker 2: Go back to Haiti. I don't care if your country

1104
00:55:42,640 --> 00:55:45,080
Speaker 2: is a crap hole. It is, but we're not going

1105
00:55:45,120 --> 00:55:47,520
Speaker 2: to fix that. I can't fix the root cause, so

1106
00:55:47,640 --> 00:55:49,560
Speaker 2: get out until you guys can figure it out, we

1107
00:55:49,600 --> 00:55:51,360
Speaker 2: are not going to be responsible. And they've been in

1108
00:55:51,400 --> 00:55:54,279
Speaker 2: the Dominican Republic for fixing your country. He's god of

1109
00:55:54,360 --> 00:55:57,439
Speaker 2: Nations humanitarian rights. You know, people were like, oh my god,

1110
00:55:57,480 --> 00:56:01,160
Speaker 2: that's mean and bad, and our presidents like, yeah, I

1111
00:56:01,200 --> 00:56:03,560
Speaker 2: don't care. So I think that that's really important and

1112
00:56:03,600 --> 00:56:06,320
Speaker 2: illustrative for good leadership. Who says I'm going to protect

1113
00:56:06,320 --> 00:56:08,839
Speaker 2: my country over anybody else's and I don't care about

1114
00:56:08,840 --> 00:56:12,319
Speaker 2: your flim flam humanitarian stuff. I am a Dominican and

1115
00:56:12,320 --> 00:56:14,520
Speaker 2: I'm gonna protect my people. I like that kind of

1116
00:56:14,600 --> 00:56:16,239
Speaker 2: leadership myself me too.

1117
00:56:16,320 --> 00:56:19,440
Speaker 4: I mean, I wonder what was the I mean was

1118
00:56:19,480 --> 00:56:21,439
Speaker 4: the what was the rea? He was just like, they're

1119
00:56:21,480 --> 00:56:24,120
Speaker 4: not going to assimilate into our culture, like they don't

1120
00:56:24,160 --> 00:56:26,760
Speaker 4: they don't care about it was criminality.

1121
00:56:26,920 --> 00:56:29,319
Speaker 2: There were these massive heation gangs that were creating all

1122
00:56:29,400 --> 00:56:32,440
Speaker 2: kinds of problems in terms of death and destruction and

1123
00:56:32,480 --> 00:56:33,880
Speaker 2: drugs and all the rest of it. And he was like,

1124
00:56:34,000 --> 00:56:36,800
Speaker 2: enough out.

1125
00:56:36,600 --> 00:56:40,360
Speaker 4: My god, and that that very same thing is happening

1126
00:56:40,440 --> 00:56:43,800
Speaker 4: is happening here, like with with these Venezuelan gangs and

1127
00:56:43,840 --> 00:56:44,200
Speaker 4: things like that.

1128
00:56:44,280 --> 00:56:47,960
Speaker 2: Trump and you know what, their newcomer's friend, that's what

1129
00:56:48,000 --> 00:56:51,080
Speaker 2: they're called now, their newcomers, And he's get thousands of

1130
00:56:51,080 --> 00:56:53,279
Speaker 2: dollars every month, free hotel food, the rest of it.

1131
00:56:53,320 --> 00:56:58,640
Speaker 2: Their newcomers get your lenk, you big it a just look,

1132
00:56:58,800 --> 00:57:02,480
Speaker 2: it underlines the absurd When a Dominican president can see

1133
00:57:02,760 --> 00:57:05,759
Speaker 2: exactly the problem, he has more leadership than the current

1134
00:57:05,840 --> 00:57:08,719
Speaker 2: ding dong and the second lady what the hell she is?

1135
00:57:09,239 --> 00:57:12,720
Speaker 2: Come on, It really underlines the absurdity of our current leadership.

1136
00:57:13,239 --> 00:57:15,319
Speaker 4: All right, Brian, tell us how we can support you.

1137
00:57:15,520 --> 00:57:16,720
Speaker 4: We love to hear about it.

1138
00:57:16,840 --> 00:57:18,959
Speaker 2: Come with Thanksgiving. I'm all by myself. I need people

1139
00:57:19,000 --> 00:57:23,520
Speaker 2: to talk to. Beyond that, you could listen to my podcast.

1140
00:57:23,600 --> 00:57:24,080
Speaker 1: It's lovely.

1141
00:57:24,400 --> 00:57:27,520
Speaker 2: It's the Right Report, like the Right Brothers wr IJC.

1142
00:57:27,680 --> 00:57:30,439
Speaker 2: Right Report available use you by five six am every

1143
00:57:30,480 --> 00:57:32,520
Speaker 2: day Monday through Friday. I take you around the country

1144
00:57:32,560 --> 00:57:34,080
Speaker 2: of the world. We talk about all this stuff. And

1145
00:57:34,200 --> 00:57:36,160
Speaker 2: for people on my substack you can get all the

1146
00:57:36,200 --> 00:57:38,600
Speaker 2: sourcing that I use. Because it might sound crazy, like

1147
00:57:38,640 --> 00:57:41,720
Speaker 2: the weather modification. Ah, I've got it all documented. So

1148
00:57:41,840 --> 00:57:44,680
Speaker 2: that's a Rightreport dot substack dot com six bucks a month.

1149
00:57:44,880 --> 00:57:47,000
Speaker 2: People can download that and click on all the hyperlinks

1150
00:57:47,040 --> 00:57:49,560
Speaker 2: and share that with friends and get smart on different issues.

1151
00:57:49,720 --> 00:57:52,720
Speaker 4: You should definitely do that. Folks who are listening watching

1152
00:57:52,720 --> 00:57:55,360
Speaker 4: you should definitely support Brian. And I'm telling you, Brian,

1153
00:57:55,400 --> 00:57:57,000
Speaker 4: I hear from people all the time who are like

1154
00:57:57,040 --> 00:57:59,080
Speaker 4: I listened to Brian this morning. He only had a

1155
00:57:59,120 --> 00:58:01,360
Speaker 4: six minute episode, but he promises he's gonna make it

1156
00:58:01,440 --> 00:58:02,200
Speaker 4: up on Friday.

1157
00:58:02,480 --> 00:58:04,200
Speaker 2: Why do the people who listen to you sound like that?

1158
00:58:04,240 --> 00:58:04,640
Speaker 4: What's wrong?

1159
00:58:04,640 --> 00:58:05,000
Speaker 6: I don't know?

1160
00:58:05,080 --> 00:58:06,480
Speaker 4: That was just that was just how I had it

1161
00:58:06,520 --> 00:58:10,920
Speaker 4: in my mind. That was honestly how it was.

1162
00:58:10,960 --> 00:58:14,800
Speaker 2: In my head. That was amazing. Well, it sounds like

1163
00:58:14,840 --> 00:58:17,440
Speaker 2: they're all from Long Island, so that's you have a

1164
00:58:17,600 --> 00:58:19,480
Speaker 2: huge fan base on Long Island. That's amazing.

1165
00:58:19,720 --> 00:58:22,400
Speaker 4: Well, Brian, as always my friend, Thanks for coming on.

1166
00:58:23,520 --> 00:58:25,680
Speaker 4: I hopefully we'll get you on next week. Let's do

1167
00:58:25,760 --> 00:58:28,240
Speaker 4: it all right, all right, thanks brother, all right, have

1168
00:58:28,280 --> 00:58:31,480
Speaker 4: a good one, Brian. That is Brian Dean Wright, one

1169
00:58:31,480 --> 00:58:35,320
Speaker 4: of the smartest guys around. I love having them on. Okay,

1170
00:58:35,360 --> 00:58:37,840
Speaker 4: before we pop smoke, make sure you smash that like button,

1171
00:58:37,840 --> 00:58:41,560
Speaker 4: that little green thumb beneath the video, smash that like button. Okay, folks,

1172
00:58:41,600 --> 00:58:45,800
Speaker 4: Brian Dean Wright, that guy's amazing, right, awesome, awesome show prep.

1173
00:58:46,320 --> 00:58:50,560
Speaker 4: He he's awesome. We love having him. Also, folks, I

1174
00:58:50,640 --> 00:58:53,880
Speaker 4: want you to have a great weekend. We run the

1175
00:58:53,880 --> 00:58:57,320
Speaker 4: home stretch of this selection. Good news out there is

1176
00:58:57,360 --> 00:59:00,880
Speaker 4: that it looks like I really believe that Amla's campaign

1177
00:59:01,040 --> 00:59:03,840
Speaker 4: is slowing down. She's peaked out. Now. Anything can happen

1178
00:59:03,920 --> 00:59:06,080
Speaker 4: in the next couple of weeks. But the title of

1179
00:59:06,120 --> 00:59:09,360
Speaker 4: this episode is October is going to be madness because

1180
00:59:09,960 --> 00:59:14,840
Speaker 4: the Left well, they're just crazy, so buckle up, enjoy

1181
00:59:14,960 --> 00:59:18,160
Speaker 4: time with your family, enjoy time with your friends. They

1182
00:59:18,200 --> 00:59:20,920
Speaker 4: focused on the horizon and the mission at hand, and

1183
00:59:20,960 --> 00:59:24,640
Speaker 4: that mission is saving this country. So don't forget to

1184
00:59:24,680 --> 00:59:26,800
Speaker 4: smash that like button on your way out. Tell your

1185
00:59:26,800 --> 00:59:29,600
Speaker 4: family and your friends to subscribe to Battleground Live because

1186
00:59:29,600 --> 00:59:31,480
Speaker 4: we want them in the trenches right here, fighting to

1187
00:59:31,480 --> 00:59:35,840
Speaker 4: save this country. Official Seanparnell dot com is my website.

1188
00:59:35,840 --> 00:59:38,960
Speaker 4: It's your one stop shop for all things America.

1189
00:59:39,080 --> 00:59:40,080
Speaker 2: First news that.

1190
00:59:40,040 --> 00:59:43,520
Speaker 4: You're not gonna hear anywhere else. And don't forget about

1191
00:59:43,560 --> 00:59:45,240
Speaker 4: my locals. I mean, we're going to be rolling out

1192
00:59:45,280 --> 00:59:47,800
Speaker 4: some very very cool stuff on locals. There's a subscription

1193
00:59:47,920 --> 00:59:49,520
Speaker 4: model where I think it's five bucks a month or

1194
00:59:49,560 --> 00:59:51,560
Speaker 4: something like that. But if you can't do that, that's fine.

1195
00:59:51,680 --> 00:59:53,920
Speaker 4: Just go join us on locals, be a part of

1196
00:59:53,920 --> 00:59:56,800
Speaker 4: the conversation as all these folks. God bless you all,

1197
00:59:57,120 --> 01:00:00,439
Speaker 4: God bless this amazing country that we call home. Keep

1198
01:00:00,480 --> 01:00:03,800
Speaker 4: the faith. The best is yet to come. God bless

1199
01:00:03,840 --> 01:00:05,919
Speaker 4: you all, folks. Have a great weekend and I will

1200
01:00:05,960 --> 01:00:10,000
Speaker 4: see you on Monday. Battle Crue take care, good night,

1201
01:00:10,160 --> 01:00:11,080
Speaker 4: have a great weekend.