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Speaker 1: Warning Europe down to enter the arena and.

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Speaker 2: Join the Battle to Save America with your host Sean Parnell.

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Speaker 1: Good evening, America, Welcome to Battleground Live. This is the

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Speaker 1: show where we kick ass, we take names, we lock

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Speaker 1: horns with the radical left. We never quit, we never surrender.

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Speaker 1: From scene to Shining Sea and everybody in between. Welcome

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Speaker 1: patriots on this Let me hear you say it. Glorious,

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Speaker 1: Glorious Thursday, man, and it's a great one. We've got

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Speaker 1: an amazing show on deck. And I'm so grateful for

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Speaker 1: my very very good friend who has been making weekly

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Speaker 1: appearances on this show for gosh sometime now. Brian Dean Wright.

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Speaker 1: He's on deck. One of the smartest guys I know.

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Speaker 1: Great friend, he's a former CIA operations officer. He is

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Speaker 1: the host of a great, great show podcast called The

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Speaker 1: Right Report Daily Podcast. If you're not watching that, if

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Speaker 1: you were not subscribed to that, if you're not subscribed

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Speaker 1: to his substack, I highly recommend that you do. He's

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Speaker 1: got this awesome show that's about twenty five thirty minutes

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Speaker 1: every day. It's your own personal presidential daily brief. There's

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Speaker 1: so much information packed into that show. Is it's just

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Speaker 1: worth it, especially when you consider how much the corporate

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Speaker 1: media just sucks today in this country. I mean, they

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Speaker 1: really are the biggest gas lighting liars on the face

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Speaker 1: of the planet. So folks listen, welcome to first of all,

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Speaker 1: all the familiar faces of the Battle Crew. Kind of

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Speaker 1: getting out of the holiday rhythm, unfortunately, getting back into

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Speaker 1: a regular routine, getting back into the swing of things.

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Speaker 1: Regularly scheduled programming for this show really starts next week,

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Speaker 1: as you know, like last week, I took the week

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Speaker 1: off for Christmas for folks who are back with us

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Speaker 1: for the first time. And also, by the way, lots

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Speaker 1: of new faces in the in the battle Chat. In

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Speaker 1: the battle Crew chat, folks love having you. You are

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Speaker 1: all most welcome here. I think I dare say that

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Speaker 1: this chat, in this group, the battle Crew is by

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Speaker 1: far the best live chat in the best community on

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Speaker 1: rumble bar nounn. Everyone thinks that. So welcome. We love you,

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Speaker 1: We're grateful to have you. You know, if you're just

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Speaker 1: listening for the first time, you just got to know

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Speaker 1: my philosophy. This is your show and it always will be.

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Speaker 1: That's why I do it. Without you, I got nothing,

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Speaker 1: So you will always be welcome here, and you always

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Speaker 1: have lots of friendly faces here as well. I mean,

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Speaker 1: every now and again we'll get the occasional hater. We'll

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Speaker 1: get like five six hundred likes a show, and then

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Speaker 1: we'll have like maybe one or two thumbs down. And

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Speaker 1: that's okay. If there are liberal hate listeners out there,

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Speaker 1: we're welcome too. But it's great. We're getting back into

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Speaker 1: the swing of things. Quick admin reminder, I'm off next week. Jeez,

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Speaker 1: I'm not off next week. Good lord, I'm off tomorrow. Okay,

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Speaker 1: let me clarify that I'm not off tomorrow, but I'm

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Speaker 1: traveling tomorrow. I've got to go to Washington, d C.

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Speaker 1: For the swearing in of the US Senate. Gotta tell

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Speaker 1: you I'm not just you know, I'm not super thrilled

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Speaker 1: about it. I'm a country boy. I like being up

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Speaker 1: here on my farm on Fort Parnell, here in our homestead.

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Speaker 1: I love spending time with my family. I love doing

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Speaker 1: the show. It's my dream job. I get to spend

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Speaker 1: time with you every day. But we got invited. It's

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Speaker 1: an honor to be invited, so we've got to go. Again.

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Speaker 1: Not super thrilled about it, and I don't have a

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Speaker 1: good battle rhythm yet. For guests hosts. You know, all

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Speaker 1: the pros like Wendy Bell and such, they all have

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Speaker 1: great guest hosts. Yours truly is what is one of them.

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Speaker 1: But I don't have guest hosts yet. I'm still trying

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Speaker 1: to figure this out as we navigate the new year.

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Speaker 1: But folks, we're gonna we're gonna break down all sorts

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Speaker 1: of stuff. We're gonna talk about the award Joe Biden's

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Speaker 1: giving members of the j J six Committee absolutely ridiculous,

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Speaker 1: and then we're gonna break down this horrific terrorist attack.

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Speaker 1: Let me tell you, folks, the plot thickens. Let's just

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Speaker 1: say that so many strange things that are happening. Something

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Speaker 1: ain't right. All that I can tell you, gleaning as

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Speaker 1: much intelligence as I possibly can, based on both public

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Speaker 1: reports and sources that I have at some of these

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Speaker 1: intel agencies that are doing the groundwork. There's more here

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Speaker 1: than meets the eye. If these things aren't making sense,

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Speaker 1: and so we're gonna try to get to the bottom

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Speaker 1: of it here on this show. So stay tuned. Okay,

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Speaker 1: Right off the top rope of the show, Biden awarding

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Speaker 1: members of the J six Committee with the Presidential Citizens Medal,

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Speaker 1: the second highest award for citizens in this country. This

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Speaker 1: Red State headline written by a guy named Rusty, and

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Speaker 1: let me tell you a kudo's hat tip to Rusty Weiss.

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Speaker 1: He really hit it out of the park with this

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Speaker 1: article on Red State. It's titled Biden to bestow J

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Speaker 1: six committee circus clowns Liz Cheney Benny Thompson with the

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Speaker 1: second highest civilian award. Listen to some of this writing,

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Speaker 1: very very top notched by Rusty. This as the committee's

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Speaker 1: body of work got nuked entirely when Special Counsel Jack

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Speaker 1: Smith dismissed his election interference case against Trump. Not to

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Speaker 1: mention the cover up, Congressional colleagues have accused Thompson Benny Thompson,

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Speaker 1: who by the way, was the chair of this sham committee.

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Speaker 1: But so congressional colleagues have accused Thompson in the J

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Speaker 1: six panel a failing to preserve a significant number of

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Speaker 1: documents from their work, roughly one point five to two

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Speaker 1: terabytes worth, which is a lot, by the way, the

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Speaker 1: geeks tell me so, and actively deleting over one hundred

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Speaker 1: encrypted files which were later recovered by a forensics team,

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Speaker 1: despite then House Speaker Kevin McCarthy's demanding they all records.

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Speaker 1: The j sixth committee also pushed a debunked conspiracy theory

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Speaker 1: regarding a GOP lawmaker allegedly conducting reconnaissance tore prior to

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Speaker 1: the riot and successfully doctored text message evidence. Thompson famously

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Speaker 1: told reporters that we would start holding public hearings because

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Speaker 1: the public quote needs to know what to think. I

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Speaker 1: like this part a lot. Cheney's career wrecking participation on

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Speaker 1: the committee, meanwhile, has been nothing short of spectacular. She

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Speaker 1: played a key role on a committee that used specious

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Speaker 1: evidence to create a false media narrative about insurrection and

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Speaker 1: ultimately led the jail time for multiple Trump associates who

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Speaker 1: refused to cooperate with the circus. This is a phenomenal article,

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Speaker 1: well written, very easy to read. You should go read

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Speaker 1: it all yourself. Kudos to Rusty Weiss again, give him

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Speaker 1: a shout out there because you just did such a

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Speaker 1: wonderful job. But here's the bottom line with the JA

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Speaker 1: six committee, it was an improperly formed congressional committee. It

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Speaker 1: was a sham committee created by Nancy Pelosi. They put

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Speaker 1: two useful idiot Republicans on the committee, crying Adam Kinsinger

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Speaker 1: and Liz Cheney, both of whom you know, I'm not

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Speaker 1: a big party guy. I'm a constitutional conservative. I love

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Speaker 1: this country. I would die for this country. My oath, itesay,

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Speaker 1: is to the Constitution. My loyalty is to the American people,

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Speaker 1: full stop. Okay. But we have a by party, a

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Speaker 1: two party system here in this country. And you know,

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Speaker 1: because of my belief system, I am a Republican. And

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Speaker 1: if you are a part of the Republican Party and

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Speaker 1: you stab your party in the back trying to destroy

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Speaker 1: the leader of your party, and of course the leader

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Speaker 1: of the party is Donald Trump, with lies, with obstruction

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Speaker 1: of obstruction of justice. For sure. There are people languishing

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Speaker 1: in prison because of this sham committee, a law list

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Speaker 1: committee that corrupted evidence, deleted evidence, obstructed justice. Now check

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Speaker 1: us out all the charges. All these people, these j

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Speaker 1: six political prisoners, they're in jail right now because of

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Speaker 1: a novel legal theory and an enhancement of what they

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Speaker 1: call fifteen twelve CE obstruction of an official proceeding, which

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Speaker 1: essentially was created out of the Enron scandal. For Enron

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Speaker 1: executives destroying documents. Well, what the Justice Department put forth

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Speaker 1: in many of these lawsuits is that, Yeah, what these

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Speaker 1: these protesters did by walking through the Capitol was obstruct

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Speaker 1: the certification of the vote, thereby obstructing an official preceding

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Speaker 1: a felony twenty plus years in prison, in some cases

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Speaker 1: solitary confinement. It's absolutely bogus. It was never intended to

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Speaker 1: be applied this way. The Supreme Court came through and said,

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Speaker 1: f you, this ain't going to work, and they overturned it.

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Speaker 1: Of course, the Supreme Court didn't put in any writing

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Speaker 1: fu but that was the gist of what they said.

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Speaker 1: But the point is the J six Committee was a

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Speaker 1: sham committee. It was improperly formed. It was a political

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Speaker 1: witch hunt from start to finish. They hired an ABC

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Speaker 1: producer to write the script so it could be shown

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Speaker 1: and portrayed like a television show for the express sole

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Speaker 1: purpose of shaping public sentiment and shaping a narrative. They

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Speaker 1: were not committed to the truth at all, and in

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Speaker 1: fact they broke the law. So people like Bennie Thompson,

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Speaker 1: who again the Democrat chair of the committee, a man

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Speaker 1: from Maryland, and Liz Cheney, the useful idiot Republican who

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Speaker 1: betrayed our party to go on that committee to attack

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Speaker 1: fellow Republicans. These people should not be getting Males medals.

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Speaker 1: They should not be getting medals. We're talking about the

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Speaker 1: Presidential Citizens Medal, that's the second highest award for a

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Speaker 1: citizen in this country.

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Speaker 2: They should be.

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Speaker 1: Going to jail for the damage that they've done to America.

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Speaker 1: They should be held accountable for throwing American citizens, or

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Speaker 1: at least being the catalyst that led to American citizens

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Speaker 1: being tossed in jail on bogus, ridiculous charges. I absolutely think,

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Speaker 1: I absolutely think that accountability has to be a core

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Speaker 1: component of the next Trump administration because I said for

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Speaker 1: a very long time, well at least for the last

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Speaker 1: couple of weeks, the Democrats have clearly learned nothing politically.

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Speaker 1: Biden still believes he shouldn't have dropped out, that he

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Speaker 1: himself would have beat Donald Trump. Kamala thinks that she's

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Speaker 1: going to hang around and run in twenty twenty eight.

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Speaker 1: I say, good, let her back in the race. She's

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Speaker 1: the worst presidential candidate in the history of presidential candidates,

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Speaker 1: no question about it. But if they haven't learned anything, well,

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Speaker 1: that might be good for us politically, it means that

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Speaker 1: God forbid these idiots ever hold power again, because they

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Speaker 1: will just wage lawfare again. They will continue to do

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Speaker 1: this insane authoritarian stuff. So accountability has to be a

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Speaker 1: core component moving forward. I mean, look, you see what

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Speaker 1: they're doing now, the Biden administration, with Liz Cheney and

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Speaker 1: Benny Thompson giving him this medal again. They're trying to

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Speaker 1: rewrite history here. And oh, by the way, Benny Thompson

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Speaker 1: refused to certify George W. Bush's two thousand and four

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Speaker 1: victory in Ohio. So I mean, clearly, there are two standards.

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Speaker 1: You could do one thing if you're a Democrat. If

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Speaker 1: you're a Republican, well you're screwed. So we got Brian

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Speaker 1: Dean right on deck. I don't want to waste any

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Speaker 1: time with him, but just let me give everybody a

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Speaker 1: quick rundown of the last couple of days, or at

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Speaker 1: least the start of twenty twenty five, multiple terrorist attacks.

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Speaker 1: We had Biden give a four minute press conference yesterday,

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Speaker 1: and I got to tell you, folks, he did not

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Speaker 1: look good in that press conference. He hasn't looked good

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Speaker 1: for four years. But he looked very, very bad. Yeah,

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Speaker 1: yesterday he came across as he was slurring his words.

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Speaker 1: I mean, obviously, like I said, he's been in bad

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Speaker 1: shape for some time now, but yesterday he looked particularly bad.

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Speaker 1: And then on top of these, this horrific terrorist attack

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Speaker 1: in New Orleans that killed I think seventeen people in counting,

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Speaker 1: and then the cyber truck bombing in Las Vegas outside

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Speaker 1: the Trump In International Hotel in Vegas. News broke yesterday

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Speaker 1: that two hundred and fifty thousand British girls have endured

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Speaker 1: decades of gang rate by Pakistani men with no justice

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Speaker 1: and no recourse. Folks, I'm here to tell you. You know,

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Speaker 1: when I tell you that evil exists in the world,

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Speaker 1: I mean it. I guess what I'm thankful of right

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Speaker 1: now is that it seems to be that good has

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Speaker 1: the momentum. And I'm telling you we've got to do

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Speaker 1: everything we can to stop it because some of these

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Speaker 1: revelations that have come out, these terrorist attacks, this these

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Speaker 1: these young girls being groomed and abused in Britain, thousands

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Speaker 1: of them forever and by the way, as as Brian

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Speaker 1: Dean Wright point out it to me, pointed out to

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Speaker 1: me in a text message prior to the show, five

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Speaker 1: hundred thousand missing kids at our southern border. You know

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Speaker 1: this insane, evil stuff is happening here as well. Okay, So,

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Speaker 1: without further ado, let me bring on my buddy, uh

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Speaker 1: Brian Dean Wright, former CIA operations officer, host of The

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Speaker 1: Right Report Daily podcast. My friend, let me tell you

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Speaker 1: something before we get into the weeds on all of

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Speaker 1: this stuff. You've been awesome to me over the last week.

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Speaker 1: You you came on the show with Jesse Kelly when

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Speaker 1: I hosted for him on Friday Night. You came on

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Speaker 1: Clay and Bucks show when I hosted for them a

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Speaker 1: couple of days ago, and now you adjusted your schedule

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Speaker 1: to be on with me today. Man, thank you very much,

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Speaker 1: my friend.

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Speaker 2: I'm like, you're signings twin. You can't get rid of me.

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Speaker 2: It's either that or you know a genital wart.

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Speaker 1: Like wait, why why does it have to be that one?

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Speaker 2: Because you lent this whole thing with a dozen but

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Speaker 2: terrible news we got to lighten it. I but on

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Speaker 2: a clown nose or something for Pete shake.

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Speaker 1: Well. Okay, so there's so much this this these terrorist attacks, Brian,

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Speaker 1: So the FBI came out today, did a press conference,

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Speaker 1: said a bunch of things that really didn't make any sense.

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Speaker 1: But apparently this guy declared his allegiance for ISIS. The

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Speaker 1: attacker in New Orleans, Army veteran served at Fort Bragg

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Speaker 1: declared his allegiance for ISIS just prior to the summertime.

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Speaker 1: Shortly before the actual terarist attack, he posted some videos

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Speaker 1: online about saying that he was a member of ISIS

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Speaker 1: and he was loyal to ISIS. That terrorist attack happens

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Speaker 1: absolutely horrifying in almost every sense of the word. I

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Speaker 1: have lots of questions about that, both strategically and tactically.

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Speaker 1: But then a couple hours after that, there's this cyber

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Speaker 1: truck explosion. And yes, evs have issues with the batteries,

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Speaker 1: but if you mentioned to me before, most of the

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Speaker 1: time it takes some sort of accident or catastrophic failure

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Speaker 1: to cause a battery, a car fire and an EV.

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Speaker 1: Now now that the video's out, it's it's very clear

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Speaker 1: that this was a bomb and the cyber truck terrorists

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Speaker 1: turned out to be Army Special Forces veteran Matthew Livelsberger.

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Speaker 1: And I mean, this guy's a thirty seven year old

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Speaker 1: Army veteran with nineteen years of service in special forces

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Speaker 1: and intelligence. He was found deceased inside the cyber truck

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Speaker 1: he rented. By the way, both of these these cars,

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Speaker 1: the car that the terrace in New Orleans and the

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Speaker 1: car that was being driven in Vegas, we're both rented

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Speaker 1: from the same app. And now we find out just before,

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Speaker 1: just before I came went live on the show tonight,

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Speaker 1: that this guy had a gunshot wounded the head, killed

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Speaker 1: himself before he somehow, I don't know what the hell

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Speaker 1: is going on here, and both by the way, this

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Speaker 1: guy served at Fort Bragg. The the New Orleans terrorists

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Speaker 1: served at Fort Bragg. I don't know, man, something just

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Speaker 1: doesn't feel right to me. I'm very concerned about all

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Speaker 1: of this. What's your take, Jump in wherever you want.

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Speaker 1: I know that lead in was long.

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Speaker 2: No Look, I think what you're talking about a big

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Speaker 2: picture is that we've got a lot of different variables

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Speaker 2: in this country, don't we that aren't exactly hopeful. And

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Speaker 2: while we all want to believe that good is on

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Speaker 2: the march, and I think that it is, it's also

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Speaker 2: important to recognize that there's a lot of evil out there.

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Speaker 2: There's a lot of bad that's out there. So one

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Speaker 2: of the things that you're talking about and others have raised,

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Speaker 2: is this issue of the southern border collapsed, nine plus

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Speaker 2: million people here, unvetted and incredibly poor. So we're going

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Speaker 2: to talk about that. In the second there's case in

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Speaker 2: Brazil that I think talks to us about how important

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Speaker 2: it could be that terror groups could recruit very poor

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Speaker 2: people in this country, especially nine million illegal aliens. But

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Speaker 2: the other piece, of course, is this homegrown terror concern,

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Speaker 2: and that is what it appears to be. This gentleman,

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Speaker 2: the terrorist in Texas attacking folks in Louisiana, this guy

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Speaker 2: born and raised in this country. Well, one of the

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Speaker 2: things that we know is that there are about four

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Speaker 2: point five million Muslims in this nation, about sixty percent

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Speaker 2: six zero percent. Based on a poll by a polster

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Speaker 2: top righted polster called Signal about a year and two

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Speaker 2: months ago, found that sixty percent of these Muslims in

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Speaker 2: this country actually support and embrace Hamas and their use

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Speaker 2: of terror against Israel. That means that forty percent disagree.

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Speaker 2: The point is there are over two million people in

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Speaker 2: this country who actually are Muslim and believe that terror

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Speaker 2: is an effective use and a good use to solve

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Speaker 2: geopolitical problems. Well, that's important is this event reminds us,

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Speaker 2: this horrible, horrible attack in Louisiana reminds us that we

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Speaker 2: do have a homegrown Islamic radical problem. Even if they're

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Speaker 2: not blowing people up, they certainly are willing to justify

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Speaker 2: doing that. That's important and I think that's critical for

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Speaker 2: us to remember as well as raise up the voices

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Speaker 2: of the forty percent of American Muslims who disagree, to

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Speaker 2: encourage them to stand up in their communities and say

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Speaker 2: no more, not in our name, not in our religion.

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Speaker 2: And we can all disagree on whether or not we

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Speaker 2: believe in Islam or or whatever we have in terms

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Speaker 2: of ideological concerns with that ideology or that religion, that's faith.

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Speaker 2: But we need to encourage those forty percent stand up

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Speaker 2: because this is only going to get worse. And that

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Speaker 2: gets to the other concern that I have nine plus

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Speaker 2: million people in this country unvetted illegal aliens, many of

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Speaker 2: them very very poor. That we have a case in

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Speaker 2: Brazil about a year ago a guy who was a

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Speaker 2: local Brazilian arrested by Brazilian authorities after he agreed to

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Speaker 2: work for hesbla Aron's terror group for a hundred thousand

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Speaker 2: dollars to go kill a bunch of Jews in Brazil.

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Speaker 2: Why did he do it? Because he was given one

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Speaker 2: hundred thousand dollars to do it. He was very poor.

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Speaker 2: So that's why I think, you know, these stories matter.

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Speaker 2: And then of course we have the potential case in

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Speaker 2: Las Vegas of somebody who was just appears to be

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Speaker 2: a nutter. I'm not sure if that's true. He just

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Speaker 2: killed himself in front of Trump his hotel, and that

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Speaker 2: the cyber attack or the cyber truck clearly a message

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Speaker 2: to Musk and Trump. But I think that the broader

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Speaker 2: pieces or questions about how many Muslims are in this country,

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Speaker 2: how many of them embrace peace? And then of course

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Speaker 2: the nine million very poor people who are completely unvetted,

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Speaker 2: you know, are how reasonable are they going to be

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Speaker 2: if they're very very poor approach to do all kinds

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Speaker 2: of criminality, by the way, not just terrorism, but all

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Speaker 2: kinds of terrible things. So that's what's on my radar,

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Speaker 2: That's how I'm processing the past forty eight hours.

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Speaker 1: Well, I mean to your point, within hours of the

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Speaker 1: terrorist attack in Louisiana, there was a you know, a

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Speaker 1: protest to call I guess you'd call a protest of

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Speaker 1: people in Manhattan. I mean it looked like thousands of

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Speaker 1: people talking about Intifada. So I mean, I'm sorry, but

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Speaker 1: to me, it's essentially like they're calling for violence and

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Speaker 1: celebrating a terrorist attack and the loss of American life.

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Speaker 1: I mean, a couple of the identities of the victims

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Speaker 1: have been released. One was a Princeton grad. The other

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Speaker 1: was a young eighteen year old woman in a nursing program.

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Speaker 1: These were people early on, at the beginnings of their

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Speaker 1: life that had their life cut short. Because you know,

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Speaker 1: this guy's from Texas, and of course the left wing

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Speaker 1: media is saying, oh, he's a Texas Army veteran. Well, actually,

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Speaker 1: he was inspired by ISIS, joined ISIS, was loyal to ISIS.

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Speaker 1: I don't think he was acting out when he was

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Speaker 1: carrying an ISIS flag on Bourbon Street the other day.

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Speaker 1: His Texas heritage on, you know what I mean, Like

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Speaker 1: I there's there's something there's something wrong. There's something very

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Speaker 1: deeply wrong with this entire situation. Biden comes out today

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Speaker 1: and he says there's no connection between the New Orleans

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Speaker 1: terrorism and the cyber truck explosion. The FBI echoed those

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Speaker 1: sentiments and they said there's no connection thus far. But

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Speaker 1: it's hard for me to believe that, Brian, especially when

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Speaker 1: you consider these guys were both at Fort Bragg and

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Speaker 1: you know, I mean, maybe all this is a coincidence,

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Speaker 1: but I just I know that, I know that you're

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Speaker 1: an evidence based guy, So I don't want to put

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Speaker 1: words in your mouth. But Ryan Ruth, the second Trump

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Speaker 1: would be a Sashin, was also visited Fort Bragg many

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Speaker 1: many times. I mean, there's this This is like a

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Speaker 1: lot of a lot of Fort Bragg visits here. It's

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Speaker 1: just kind of unbelievable to me that all of this.

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Speaker 1: I don't know, Brian, I just don't know what to

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Speaker 1: believe at this point.

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Speaker 2: Yeah. Look, two things, that the Vegas issue is so

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Speaker 2: very early days. So I think that are still working

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Speaker 2: on one hundred percent identification of the body matching that

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Speaker 2: with some of the IDs that were found. So it

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Speaker 2: appears to be that that is true, that is the

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Speaker 2: case of former Special Forces or I believe he was

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Speaker 2: just active duty here within the last until he perished.

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Speaker 2: But the point is it's early days. So I think

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Speaker 2: we can take a breath on that one. But the

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Speaker 2: broader point that I think that you're raising is one

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Speaker 2: that any reasonable person would and that is, over the

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Speaker 2: past four years, we have had very very good reason

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Speaker 2: to doubt the FBI and the Department of Justice. Under

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Speaker 2: Joe Biden, they have demonstrated themselves over and over again

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Speaker 2: to be partisan actors. So is that a play here.

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Speaker 2: I don't know. We would like to assume not, but

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Speaker 2: the facts of the datas go very clearly that we

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Speaker 2: have reason to be suspicious. So that's appropriate to be skeptical,

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Speaker 2: to ask really hard and tough questions, and so I

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Speaker 2: celebrate that people are doing that. There's there's, you know,

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Speaker 2: a point which it gets maybe a little bit too

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Speaker 2: far down the rabbit hole, but there's absolutely no reason

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Speaker 2: why we all shouldn't be asking really tough questions of

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Speaker 2: the FBI and ollers as well. We have earned that right.

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Speaker 2: The evidence shows us that we should be asking good questions.

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Speaker 1: So I want to play two videos for you. First

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Speaker 1: is Alejandre Marijorcis from twenty twenty two, and then is

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Speaker 1: Joe Biden, And I kind of want to get your

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Speaker 1: reaction to both of them. Okay, first, we'll start with

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Speaker 1: majorcas check this out.

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Speaker 3: And what we in the Department of Homeland Security have

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Speaker 3: assessed is that the greatest terrorism related threat that we

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Speaker 3: face in the homeland is the threat of domestic violent extremism,

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Speaker 3: individuals drawn to violence because of ideologies of hate or

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Speaker 3: false narratives propagated on social media and other online platforms.

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Speaker 3: And the most prominent threat is the threat of white supremacists.

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Speaker 1: Okay, so there's that, So put that in your spy

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Speaker 1: kit bat for just a second, and here's Biden a

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Speaker 1: short time after.

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Speaker 4: What happened here is simple and straightforward terrorism failure. For

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Speaker 4: us to not say that failure is saying that is

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Speaker 4: going to be complicity. Silence is complicity is complicity. We

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Speaker 4: cannot remain silent. The ideology of white supremacy has no

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Speaker 4: place in America none. The law enforcement intelligence community a

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Speaker 4: continue to look for any connections, associations, are co conspirators.

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Speaker 4: We have nothing, additionally report at this time. The investigations

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Speaker 4: continuing to be active, and no one should jump to conclusions.

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Speaker 1: I mean, it seems like anytime there's like a school shooting,

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Speaker 1: for example, horrific, evil, terrible, they have no problems jumping

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Speaker 1: to the white supremacist terrorist narrative. But when it's you know,

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Speaker 1: an ISIS inspired terrorist attack, seventeen people killed, dude had

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Speaker 1: the ISIS flag waving from the back of his truck,

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Speaker 1: seems like they almost never talk of it's always about

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Speaker 1: They don't ever talk Brian about radical Islamism. They just

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Speaker 1: never talk about that. I never hear Left this talk

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Speaker 1: about this threat and it's real, and it's just it's man, Brian, it's.

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Speaker 2: In their members of Congress. My friend or she didn't leave.

430
00:24:23,880 --> 00:24:24,840
Speaker 1: That's a John Omar.

431
00:24:25,080 --> 00:24:28,360
Speaker 2: I mean, those two individuals are Islamist and they are

432
00:24:28,359 --> 00:24:30,879
Speaker 2: in our Congress. So that might explain part of the

433
00:24:30,880 --> 00:24:33,920
Speaker 2: reason for why my former party of twenty years isn't

434
00:24:33,920 --> 00:24:35,840
Speaker 2: standing up and saying we got a problem here. It's

435
00:24:35,840 --> 00:24:39,520
Speaker 2: because it's in their own party. They've decided to embrace it. Second,

436
00:24:39,560 --> 00:24:42,360
Speaker 2: this white supremacist thing, I think most of us would say, yeah,

437
00:24:42,400 --> 00:24:45,560
Speaker 2: that's bad, and that's awful, clearly obviously. But it's really

438
00:24:45,600 --> 00:24:48,320
Speaker 2: hard to listen to people like majorcas or to Biden

439
00:24:48,680 --> 00:24:51,240
Speaker 2: when they have repeated the talking point that, for instance,

440
00:24:51,480 --> 00:24:54,359
Speaker 2: Donald Trump is a white supremacist or embraces them, because

441
00:24:54,400 --> 00:24:57,760
Speaker 2: what he said about and in Charlottesville, Virginia that he

442
00:24:57,840 --> 00:25:00,600
Speaker 2: embraced both sides to include white supremacy. We know that's

443
00:25:00,640 --> 00:25:03,440
Speaker 2: a lie that has been debunked now four years, eight

444
00:25:03,560 --> 00:25:06,399
Speaker 2: years now, it has been debunked, and yet Joe Biden

445
00:25:06,400 --> 00:25:08,919
Speaker 2: and Kamala Harris said it less than two three months ago.

446
00:25:09,760 --> 00:25:11,440
Speaker 2: So I think that is why most of us would

447
00:25:11,440 --> 00:25:14,080
Speaker 2: then say, look, the threat is real. Clearly, white supremacy

448
00:25:14,080 --> 00:25:16,679
Speaker 2: has been around all kinds of black nationalism, as we know,

449
00:25:16,800 --> 00:25:19,600
Speaker 2: data show that that is actually much more preponderant in

450
00:25:19,640 --> 00:25:22,800
Speaker 2: the US military than any other. In fact, five times

451
00:25:22,840 --> 00:25:26,879
Speaker 2: greater black nationalism in our military than white supremacy. So

452
00:25:26,880 --> 00:25:30,200
Speaker 2: it's not the we ignore the problem, it's that they

453
00:25:30,200 --> 00:25:32,960
Speaker 2: continue to lie about what the problem is and how

454
00:25:32,960 --> 00:25:35,879
Speaker 2: bad it is. That is, I think the central point

455
00:25:35,960 --> 00:25:38,439
Speaker 2: and why those of us we are reasonable want to

456
00:25:38,440 --> 00:25:40,720
Speaker 2: be able to address hate in all of its forms.

457
00:25:41,000 --> 00:25:43,840
Speaker 2: But when it is used as a weapon, as Joe

458
00:25:43,880 --> 00:25:46,160
Speaker 2: Biden and Kamala Harris and MAJORCIS and others have done

459
00:25:46,160 --> 00:25:49,119
Speaker 2: for years now, it really it almost it's like as

460
00:25:49,160 --> 00:25:51,960
Speaker 2: though they have been crying wolf for a long long time.

461
00:25:51,960 --> 00:25:54,480
Speaker 2: And if we actually see it, experience it. We're not

462
00:25:54,520 --> 00:25:56,359
Speaker 2: really wanting to believe it's true because we have just

463
00:25:56,400 --> 00:25:59,119
Speaker 2: heard this bologne for years. So that I think is

464
00:25:59,160 --> 00:26:02,000
Speaker 2: important for us member as we consume this rhetoric by

465
00:26:02,000 --> 00:26:04,560
Speaker 2: Biden or Kamala Harris or Maorcus or even those in

466
00:26:04,600 --> 00:26:07,960
Speaker 2: the FBI or DHS who talk about this stuff, we

467
00:26:08,080 --> 00:26:11,399
Speaker 2: just don't trust them anymore, and that is reasonable. They

468
00:26:11,440 --> 00:26:13,960
Speaker 2: have demonstrated to us that we should not listen to them,

469
00:26:14,359 --> 00:26:17,200
Speaker 2: or that they are deeply biased, and that this stuff

470
00:26:17,200 --> 00:26:19,200
Speaker 2: about race, whatever it might be, but it's also based

471
00:26:19,240 --> 00:26:22,760
Speaker 2: on politics. Actually, So that I think is the important point.

472
00:26:22,800 --> 00:26:25,639
Speaker 2: I think that explains a lot of angst that perhaps

473
00:26:25,680 --> 00:26:27,560
Speaker 2: you or others have about this, and that I have too.

474
00:26:28,040 --> 00:26:30,320
Speaker 2: I would love to believe that my government is acting

475
00:26:30,359 --> 00:26:32,760
Speaker 2: on my behalf and try to protect the country. I'm

476
00:26:32,800 --> 00:26:34,840
Speaker 2: just not so sure that's true, at least not under

477
00:26:34,880 --> 00:26:36,200
Speaker 2: this current administration.

478
00:26:36,560 --> 00:26:39,560
Speaker 1: Well, yeah, they spent so much damn time over the

479
00:26:39,600 --> 00:26:43,679
Speaker 1: last four years tracking down January sixth, Grandmas. They just

480
00:26:43,800 --> 00:26:46,040
Speaker 1: booked the Department of Justice, and the FBI just booked

481
00:26:46,040 --> 00:26:48,679
Speaker 1: one the other day, like I think, two days before

482
00:26:48,720 --> 00:26:52,960
Speaker 1: this horrific terrorist attack. It just seems like they're not

483
00:26:53,080 --> 00:26:56,160
Speaker 1: focused on the right stuff at all. It's just it's

484
00:26:56,280 --> 00:26:59,760
Speaker 1: maddening to me. And like when you look at you know,

485
00:26:59,800 --> 00:27:03,320
Speaker 1: how devastating an attack like say, for example, in New

486
00:27:03,400 --> 00:27:06,520
Speaker 1: Orleans can be. You're talking just a car running into.

487
00:27:06,320 --> 00:27:07,080
Speaker 2: A group of people.

488
00:27:07,160 --> 00:27:08,800
Speaker 1: Guy gets out of the car with a rifle and

489
00:27:08,840 --> 00:27:14,359
Speaker 1: just starts shooting. I mean, Brian, it's not hard to

490
00:27:14,400 --> 00:27:17,280
Speaker 1: do that anywhere. I mean, that's just the truth. And

491
00:27:17,320 --> 00:27:20,520
Speaker 1: that's what scares me. If you have ten point five million,

492
00:27:20,560 --> 00:27:22,720
Speaker 1: and somebody took me to task on X the other day,

493
00:27:22,760 --> 00:27:25,800
Speaker 1: and I mean, I love it. There's a lot more

494
00:27:25,840 --> 00:27:27,879
Speaker 1: than ten point five million. Yes, I agree. I mean

495
00:27:27,960 --> 00:27:29,679
Speaker 1: there's a hell of a lot more illegal aliens that

496
00:27:29,680 --> 00:27:31,560
Speaker 1: have come to this country than ten point five million.

497
00:27:32,280 --> 00:27:34,919
Speaker 1: But my point is, even if point zero one percent

498
00:27:34,960 --> 00:27:37,520
Speaker 1: of that is are bad guys that wish to do

499
00:27:37,560 --> 00:27:40,480
Speaker 1: as harm, that's still a thousand people, man, And so

500
00:27:41,200 --> 00:27:45,000
Speaker 1: a thousand terrorists with a truck and a rifle can

501
00:27:45,040 --> 00:27:47,160
Speaker 1: do a hell of a lot of damage to this country.

502
00:27:47,520 --> 00:27:49,560
Speaker 1: And I don't think it would be that hard to

503
00:27:49,600 --> 00:27:51,960
Speaker 1: coordinate it. And that's my fear now.

504
00:27:52,080 --> 00:27:55,000
Speaker 2: On nine to eleven. So yeah, you're right, it doesn't

505
00:27:55,000 --> 00:27:55,680
Speaker 2: take a lot of them.

506
00:27:55,960 --> 00:27:58,639
Speaker 1: Well, you know, Brian, Like my fear is like this

507
00:27:58,720 --> 00:28:01,439
Speaker 1: is just the beginning. We have eighteen days. We have

508
00:28:01,480 --> 00:28:04,760
Speaker 1: a president in the White House that is an animated corpse.

509
00:28:05,840 --> 00:28:08,800
Speaker 1: I have all the confidence in the world in Trump

510
00:28:08,840 --> 00:28:12,280
Speaker 1: Advance and his team, but none of their cabinet members

511
00:28:12,320 --> 00:28:14,560
Speaker 1: are in place. They haven't been sworn in yet. I'm

512
00:28:14,600 --> 00:28:16,720
Speaker 1: not even sure the us Housi representative is gonna be

513
00:28:16,840 --> 00:28:18,720
Speaker 1: is gonna be able to elect it and a speaker

514
00:28:18,800 --> 00:28:21,360
Speaker 1: this Friday. If they don't elect the speaker this Friday,

515
00:28:21,520 --> 00:28:24,240
Speaker 1: the election results don't get certified, which means a transition

516
00:28:24,320 --> 00:28:27,520
Speaker 1: could be delayed. These are just facts we could end up, Brian,

517
00:28:27,640 --> 00:28:30,880
Speaker 1: because I went through I love parliamentary procedure. I don't

518
00:28:30,880 --> 00:28:32,920
Speaker 1: know if you know that about me, but I love it.

519
00:28:33,320 --> 00:28:35,800
Speaker 2: Let me get my classes, let's geek out. Where are

520
00:28:35,840 --> 00:28:36,800
Speaker 2: they glasses?

521
00:28:37,720 --> 00:28:39,800
Speaker 1: I do? I actually did have to Can you believe this?

522
00:28:39,840 --> 00:28:41,280
Speaker 1: I actually did have to get a pair of reading

523
00:28:41,280 --> 00:28:47,320
Speaker 1: glasses the other day, same same It's awful. Melli ordered

524
00:28:47,360 --> 00:28:50,080
Speaker 1: them from me off of Amazon for sixteen bucks. Here

525
00:28:50,120 --> 00:28:50,960
Speaker 1: and this is my life.

526
00:28:51,400 --> 00:28:53,320
Speaker 2: Yeah, when I complain about this with my my some

527
00:28:53,400 --> 00:28:55,040
Speaker 2: my listeners who are like in their sixties and their

528
00:28:55,080 --> 00:28:58,160
Speaker 2: seventies are like, yeah, wait, just wait, friend, can't get

529
00:28:58,240 --> 00:28:59,000
Speaker 2: so much worse?

530
00:29:00,160 --> 00:29:05,400
Speaker 1: Yeah, So I just feel like Brian, it doesn't there's

531
00:29:05,880 --> 00:29:08,560
Speaker 1: there could be a lot of bad guys here. And

532
00:29:08,920 --> 00:29:11,640
Speaker 1: talk about a parliamentary procedure. Where I was going with

533
00:29:11,680 --> 00:29:15,080
Speaker 1: that was if the House can't elect a speaker, they

534
00:29:15,120 --> 00:29:17,800
Speaker 1: are then compelled to vote, vote, vote, vote for a speaker.

535
00:29:18,040 --> 00:29:21,400
Speaker 1: But then the House can't they can't swear in new members,

536
00:29:21,600 --> 00:29:24,600
Speaker 1: they can't appoint committee heads, they can't collect they can't

537
00:29:24,640 --> 00:29:28,040
Speaker 1: bring together committees, they can't pass legislation, and then they

538
00:29:28,040 --> 00:29:30,719
Speaker 1: can't certify the election on January sixth. Now the Senate

539
00:29:30,840 --> 00:29:33,440
Speaker 1: will be they won't be paralyzed, but you need the

540
00:29:33,440 --> 00:29:35,720
Speaker 1: House and the Senate to certify the election. If you

541
00:29:35,760 --> 00:29:37,840
Speaker 1: make it the January twentieth, you could have a scenario.

542
00:29:38,080 --> 00:29:41,680
Speaker 1: And by the way that you know, I mean sometimes

543
00:29:41,760 --> 00:29:45,280
Speaker 1: these House elections can take weeks, and so I could

544
00:29:45,320 --> 00:29:47,920
Speaker 1: see a scenario where the House is just deadlocked and

545
00:29:47,960 --> 00:29:50,080
Speaker 1: then they vote forever, and then you get the January

546
00:29:50,080 --> 00:29:53,360
Speaker 1: twentieth and all of a sudden, Biden and Kamala Harris

547
00:29:53,360 --> 00:29:56,120
Speaker 1: are gone. Trump and JD can't get sworn in. The

548
00:29:56,200 --> 00:29:58,120
Speaker 1: number three in the Cheney command is a Speaker of

549
00:29:58,160 --> 00:29:59,840
Speaker 1: the House, but there's no Speaker of the House because

550
00:30:00,000 --> 00:30:02,040
Speaker 1: else as an elected one. And then you're left with

551
00:30:02,080 --> 00:30:04,840
Speaker 1: the Senate President pro temp in the Senate, who is

552
00:30:04,880 --> 00:30:07,880
Speaker 1: Patty Murray as of right now, but we'll be ninety

553
00:30:07,880 --> 00:30:10,000
Speaker 1: one year old Chuck Grassley. So we could have a

554
00:30:10,000 --> 00:30:13,200
Speaker 1: scenario in this country where Chuck Grassley is the acting

555
00:30:13,280 --> 00:30:16,760
Speaker 1: president until we get all this fixed. And so while

556
00:30:16,800 --> 00:30:21,480
Speaker 1: I love parliamentary procedure, this is like, there's a very

557
00:30:21,520 --> 00:30:24,440
Speaker 1: real threat to me of a coordinated attack here, and

558
00:30:24,560 --> 00:30:28,760
Speaker 1: I want Trump's people confirmed. I want these leaders in place.

559
00:30:29,680 --> 00:30:32,360
Speaker 1: I want to know that these institutions, which are in

560
00:30:32,400 --> 00:30:35,400
Speaker 1: dire need of reform, are focused on the right things

561
00:30:35,480 --> 00:30:38,080
Speaker 1: right now. Because when I say I think a thousand

562
00:30:38,280 --> 00:30:41,160
Speaker 1: terrorists in this country could coordinate a fairly devastating attack

563
00:30:41,240 --> 00:30:44,480
Speaker 1: year pretty easily, I mean it, and eighteen days, I

564
00:30:44,480 --> 00:30:46,760
Speaker 1: think we're just at the beginning. Brian, So give me

565
00:30:46,800 --> 00:30:52,000
Speaker 1: a sense. What if you're a CIA guy, you're still

566
00:30:52,000 --> 00:30:55,760
Speaker 1: at the CIA, You're looking at something like this, what

567
00:30:55,880 --> 00:30:59,320
Speaker 1: are you thinking if there are follow on attacks? I mean,

568
00:30:59,400 --> 00:31:03,000
Speaker 1: I know you're seaking hypothetically, but what would that look like.

569
00:31:03,760 --> 00:31:06,080
Speaker 1: I'm sure that you have. I'm sure that you've you've

570
00:31:06,120 --> 00:31:07,760
Speaker 1: studied scenarios for years.

571
00:31:07,840 --> 00:31:09,560
Speaker 2: Yeah, I want our work to the agency, of course. Yeah,

572
00:31:09,560 --> 00:31:11,680
Speaker 2: look at that look like. So one of the first

573
00:31:11,720 --> 00:31:15,120
Speaker 2: things that happened after they shot and killed Jabbar Is

574
00:31:15,760 --> 00:31:17,840
Speaker 2: they understood who he was and then they started doing

575
00:31:18,400 --> 00:31:21,120
Speaker 2: link analysis of who his friends and families are. They

576
00:31:21,120 --> 00:31:24,120
Speaker 2: were looking at all of his credit cards, his phone numbers,

577
00:31:24,120 --> 00:31:26,160
Speaker 2: his emails, all that, and they were looking, in other words,

578
00:31:26,200 --> 00:31:29,040
Speaker 2: his selectors, and they were looking at both domestic connections

579
00:31:29,080 --> 00:31:31,440
Speaker 2: and international connections and they were trying to map those out.

580
00:31:31,480 --> 00:31:34,240
Speaker 2: They were going to any nations abroad and those intel

581
00:31:34,320 --> 00:31:36,160
Speaker 2: services and saying what do you know about this guy

582
00:31:36,520 --> 00:31:39,480
Speaker 2: or the selector or this email, this passport number, all

583
00:31:39,480 --> 00:31:42,680
Speaker 2: that kind of stuff. So that's going on right now. Actually,

584
00:31:42,760 --> 00:31:46,480
Speaker 2: that usually takes sometimes three to seven days. It really

585
00:31:46,560 --> 00:31:48,720
Speaker 2: depends on the liaison service that you're reaching out to

586
00:31:48,760 --> 00:31:51,360
Speaker 2: the foreign country. On the domestic side of things, we

587
00:31:51,400 --> 00:31:53,800
Speaker 2: can move generally a little bit faster. They have behind

588
00:31:53,800 --> 00:31:56,880
Speaker 2: the NSA can do that depending on court orders. So

589
00:31:56,920 --> 00:31:59,240
Speaker 2: we can move relatively quickly on this in the first

590
00:31:59,280 --> 00:32:01,640
Speaker 2: twenty four to forty eight hours. That's why I've advised

591
00:32:01,680 --> 00:32:04,520
Speaker 2: people just hink tight until we have a much better sense,

592
00:32:04,800 --> 00:32:07,160
Speaker 2: because again, do you trust the FBI is doing the

593
00:32:07,240 --> 00:32:09,320
Speaker 2: fulsome job that we would need them to. I'm not

594
00:32:09,360 --> 00:32:13,280
Speaker 2: so sure. So maybe just be taking some caution at

595
00:32:13,360 --> 00:32:16,680
Speaker 2: public events things like the Sugar Bowl, etc. Just be

596
00:32:16,720 --> 00:32:19,840
Speaker 2: a little bit aware of your surroundings. So that's what

597
00:32:19,880 --> 00:32:22,200
Speaker 2: I would be expecting our government to do. And I

598
00:32:22,200 --> 00:32:24,440
Speaker 2: think that you're right to say, is that what the

599
00:32:24,480 --> 00:32:26,680
Speaker 2: FBI or the CIA or the NSA is doing right

600
00:32:26,680 --> 00:32:28,720
Speaker 2: out under Biden? Do we have that kind of leadership?

601
00:32:28,960 --> 00:32:31,360
Speaker 2: We need that kind of leadership at the top of

602
00:32:31,400 --> 00:32:35,000
Speaker 2: our country. As you correctly pointed out that four minutes

603
00:32:35,000 --> 00:32:37,440
Speaker 2: and twenty eight seconds of Joe Biden babbling along and

604
00:32:37,480 --> 00:32:39,920
Speaker 2: slurring and not making a damn bit of sense was

605
00:32:39,960 --> 00:32:42,160
Speaker 2: a very clear indicator that what we have seen for

606
00:32:42,160 --> 00:32:44,480
Speaker 2: the past four years, as CBS News is now admitting

607
00:32:44,840 --> 00:32:47,680
Speaker 2: that is the most underreported story, Joe Biden's dementia or

608
00:32:47,680 --> 00:32:51,040
Speaker 2: clear cognitive decline. Yep, sure is. We've had it for

609
00:32:51,080 --> 00:32:53,640
Speaker 2: four years now. So look, we don't have the kind

610
00:32:53,680 --> 00:32:57,040
Speaker 2: of leadership we need in the Captain's chair at this moment,

611
00:32:57,200 --> 00:32:59,880
Speaker 2: and that is a bad deal for the next eighteen days.

612
00:33:00,200 --> 00:33:01,560
Speaker 2: And if we're up to me and I working for

613
00:33:01,600 --> 00:33:03,719
Speaker 2: a day, I'd throw the sob out if I were

614
00:33:03,760 --> 00:33:06,040
Speaker 2: still a Democrat, and I'd encourage my fellow Democrats to

615
00:33:06,080 --> 00:33:08,480
Speaker 2: do the same, or I would have peach and remove him.

616
00:33:08,520 --> 00:33:10,280
Speaker 2: I mean, I would rather have Kamala Harris, even though

617
00:33:10,320 --> 00:33:12,800
Speaker 2: Lord have mercy, but I would much rather have her

618
00:33:13,000 --> 00:33:16,080
Speaker 2: for eighteen days than him. He's not functional. So you're

619
00:33:16,120 --> 00:33:17,920
Speaker 2: bringing up a lot of very important points about how

620
00:33:17,920 --> 00:33:20,440
Speaker 2: do you govern the country, how do you execute a

621
00:33:20,480 --> 00:33:24,160
Speaker 2: follow up investigation. We would hope that the FBI and

622
00:33:24,240 --> 00:33:26,840
Speaker 2: the dj would be doing all that we need them

623
00:33:26,840 --> 00:33:28,760
Speaker 2: to do. I'm just not so sure that's true.

624
00:33:29,240 --> 00:33:31,360
Speaker 1: Okay, you stay right there, take a quick break, and

625
00:33:31,400 --> 00:33:34,800
Speaker 1: then come back and we'll do our Global Intel update

626
00:33:34,880 --> 00:33:37,160
Speaker 1: for everybody. I know. I'd already done it on Jesse

627
00:33:37,240 --> 00:33:39,040
Speaker 1: Kelly Show with me and then Clay and Bucks Show,

628
00:33:39,240 --> 00:33:41,800
Speaker 1: So you're probably Global Intel updated the more with the

629
00:33:41,800 --> 00:33:45,360
Speaker 1: World spins, friend, we got more news. Let's do it. Okay,

630
00:33:45,400 --> 00:33:48,280
Speaker 1: stay right there. More with Brian Dean Wright in just

631
00:33:48,320 --> 00:33:52,160
Speaker 1: a second. Okay, before we bring Brian. Brian Dean right back.

632
00:33:53,000 --> 00:33:55,080
Speaker 1: Smash that like button, that little green thumb beneath the

633
00:33:55,160 --> 00:33:58,280
Speaker 1: video we hit I think number twenty eight of all

634
00:33:58,320 --> 00:34:01,280
Speaker 1: shows on Rumble yesterday. Would it's pretty damn amazing. It's

635
00:34:01,320 --> 00:34:04,560
Speaker 1: a testament to all of you. But liking or rumbling

636
00:34:04,600 --> 00:34:07,800
Speaker 1: on a show really helps that process. That's weighted heavily.

637
00:34:08,440 --> 00:34:12,440
Speaker 1: So smash that like button or that little green thumb. Okay,

638
00:34:12,600 --> 00:34:16,720
Speaker 1: more with Brian Dean Wright right now, former CIA operations officer,

639
00:34:16,840 --> 00:34:19,200
Speaker 1: host of The Right Report Daily podcast. If you're not

640
00:34:19,400 --> 00:34:22,760
Speaker 1: following him or subscribing to his podcast, go do it. Follow,

641
00:34:23,160 --> 00:34:26,880
Speaker 1: subscribe if you can on substack as well. Okay, Brian,

642
00:34:27,200 --> 00:34:31,640
Speaker 1: So let's do our Global Intel update, and let's start. Well,

643
00:34:31,680 --> 00:34:34,200
Speaker 1: we talked a lot about Guatemala this week. What's going

644
00:34:34,200 --> 00:34:36,920
Speaker 1: on in Guatemala? Why do people need to care about

645
00:34:37,239 --> 00:34:38,120
Speaker 1: what's happening there?

646
00:34:38,840 --> 00:34:40,920
Speaker 2: So taking a step back, one of the things that

647
00:34:40,960 --> 00:34:43,319
Speaker 2: Trump has promised this country in the world is he's

648
00:34:43,360 --> 00:34:45,880
Speaker 2: going to deport a whole bunch of people. Some nations

649
00:34:45,920 --> 00:34:48,120
Speaker 2: are willing to take back their citizens, some are not.

650
00:34:48,520 --> 00:34:52,759
Speaker 2: When Trump was previously president, Guatemala agreed to take back

651
00:34:52,800 --> 00:34:55,520
Speaker 2: not only theirs, but other citizens from around the world.

652
00:34:55,600 --> 00:34:58,000
Speaker 2: That's a big deal. Trump's team is also looking to

653
00:34:58,040 --> 00:35:00,279
Speaker 2: do this in other places, even in Africa. You and

654
00:35:00,360 --> 00:35:02,279
Speaker 2: I have talked about one little place that wants to

655
00:35:02,280 --> 00:35:05,239
Speaker 2: break away and from its own path called Samaliland. So

656
00:35:05,280 --> 00:35:08,000
Speaker 2: the Trump team is looking at recognizing them potentially deporting

657
00:35:08,000 --> 00:35:11,080
Speaker 2: some of the Africans to Somaliland from all different kinds

658
00:35:11,080 --> 00:35:14,520
Speaker 2: of countries. The same would be potentially true with Guatemala.

659
00:35:14,600 --> 00:35:17,160
Speaker 2: They are looking at once again serving as kind of

660
00:35:17,160 --> 00:35:20,200
Speaker 2: an open borders, as it were, taking back the worlds

661
00:35:20,280 --> 00:35:23,480
Speaker 2: people that we don't want. President Arevolo has agreed in

662
00:35:23,600 --> 00:35:26,000
Speaker 2: principle to take back these people. So this is a

663
00:35:26,040 --> 00:35:28,359
Speaker 2: really important thing for this country as we think about

664
00:35:28,360 --> 00:35:30,279
Speaker 2: where we're going to send all these folks we don't

665
00:35:30,320 --> 00:35:32,800
Speaker 2: want to in camps, whether it be on our military

666
00:35:32,800 --> 00:35:35,480
Speaker 2: basis or intents along the border. We want to send

667
00:35:35,480 --> 00:35:38,360
Speaker 2: them somewhere, and Guatemala may be one of those places

668
00:35:38,400 --> 00:35:40,520
Speaker 2: that we can send them to. So that looks really promising.

669
00:35:40,880 --> 00:35:43,960
Speaker 2: I know, mister Holman, the Borders are is very excited

670
00:35:44,080 --> 00:35:46,480
Speaker 2: about this possibility. A lot of good work is going

671
00:35:46,520 --> 00:35:48,319
Speaker 2: to have to go into making sure that relationship is

672
00:35:48,320 --> 00:35:51,880
Speaker 2: good and strong, because if Guatemala doesn't take these people,

673
00:35:52,040 --> 00:35:54,080
Speaker 2: who will. I don't know. We're going to have to

674
00:35:54,120 --> 00:35:56,480
Speaker 2: hope that mister O'revelo sticks to his word.

675
00:35:56,920 --> 00:36:03,520
Speaker 1: Yeah, Brian, this whole to do something here and deportation

676
00:36:03,640 --> 00:36:06,640
Speaker 1: absolutely has to happen. And I think when it does happen,

677
00:36:06,760 --> 00:36:09,279
Speaker 1: I mean, Trump is right to start with the most

678
00:36:09,400 --> 00:36:14,840
Speaker 1: violent criminals, gang members, whoever, but it has to happen.

679
00:36:15,120 --> 00:36:17,360
Speaker 1: I mean, you and I I think this is a

680
00:36:17,400 --> 00:36:20,839
Speaker 1: good maybe segue to the H one B discussion. You know,

681
00:36:21,040 --> 00:36:23,920
Speaker 1: we had a couple of conversations on the radio about

682
00:36:24,400 --> 00:36:27,040
Speaker 1: H one B. You and I have the same position here.

683
00:36:27,160 --> 00:36:30,600
Speaker 1: My position is, yeah, of course we want people to

684
00:36:30,640 --> 00:36:33,160
Speaker 1: be able to experience the American dream, but not at

685
00:36:33,200 --> 00:36:36,520
Speaker 1: the expense of the American people and the H one

686
00:36:36,600 --> 00:36:39,080
Speaker 1: B program. There's a lot of propaganda out there right

687
00:36:39,080 --> 00:36:41,239
Speaker 1: now about it as if we're only getting the best

688
00:36:41,320 --> 00:36:44,000
Speaker 1: and brightest. And if that were the case, if there's

689
00:36:44,040 --> 00:36:47,040
Speaker 1: an Einstein out there and he wants to come here,

690
00:36:47,400 --> 00:36:50,160
Speaker 1: wants to be an American, wants to embrace our values

691
00:36:50,200 --> 00:36:53,279
Speaker 1: and assimilate into our culture, fine, welcome. Hey, we'll have

692
00:36:53,320 --> 00:36:56,040
Speaker 1: a conversation about an H one B for Einstein man.

693
00:36:56,360 --> 00:37:00,040
Speaker 1: But the reality is that's not the case. And so

694
00:37:00,120 --> 00:37:02,799
Speaker 1: I read something the other day that said that the

695
00:37:02,840 --> 00:37:06,680
Speaker 1: government caps H one B visas is eighty five thousand

696
00:37:06,680 --> 00:37:08,920
Speaker 1: a year. Okay, that's their cap. But in the year

697
00:37:08,960 --> 00:37:11,319
Speaker 1: of twenty twenty four alone, there was eight hundred and

698
00:37:11,320 --> 00:37:15,160
Speaker 1: thirty eight thousand plus H one B applications in H

699
00:37:15,200 --> 00:37:19,960
Speaker 1: one B. I mean, so clearly the program is expanded

700
00:37:20,040 --> 00:37:22,200
Speaker 1: when it's not just the best in the brightest and

701
00:37:22,280 --> 00:37:25,520
Speaker 1: these there are a bunch at least four Indian companies

702
00:37:26,000 --> 00:37:29,160
Speaker 1: that set up shop here in America that are essentially

703
00:37:29,920 --> 00:37:33,759
Speaker 1: H one B visa holders employment agencies. And what these

704
00:37:33,880 --> 00:37:37,440
Speaker 1: massive tech companies will do is pay a big retainer

705
00:37:37,520 --> 00:37:40,960
Speaker 1: to these companies in exchange for the you know, H

706
00:37:41,000 --> 00:37:43,920
Speaker 1: one B visa folks working at their company, to conceal

707
00:37:44,400 --> 00:37:46,000
Speaker 1: how many of these H one B people that they're

708
00:37:46,000 --> 00:37:49,359
Speaker 1: actually paying. I mean, it's a nightmare. It's greatly exploited.

709
00:37:49,719 --> 00:37:52,240
Speaker 1: I hate the fact that it undermines the American worker.

710
00:37:52,640 --> 00:37:54,160
Speaker 1: Where are you on all of this.

711
00:37:55,120 --> 00:37:57,040
Speaker 2: You know, look for folks out to wear you know,

712
00:37:57,080 --> 00:37:59,600
Speaker 2: this is H one B visa And as Sister Visa's

713
00:37:59,600 --> 00:38:03,080
Speaker 2: called the visa you're right. The whole design was to

714
00:38:03,080 --> 00:38:05,080
Speaker 2: get the world's best in brightest. The old one was

715
00:38:05,120 --> 00:38:07,800
Speaker 2: really the ultimate Einstein's you know. The H one B

716
00:38:07,960 --> 00:38:09,759
Speaker 2: was somebody who might just have the master's degree, maybe

717
00:38:09,800 --> 00:38:12,360
Speaker 2: not the PhD. The point is the best in the brightest.

718
00:38:12,560 --> 00:38:13,480
Speaker 1: This started out.

719
00:38:13,280 --> 00:38:16,560
Speaker 2: Back in nineteen ninety. The writer of this, the author

720
00:38:16,600 --> 00:38:19,440
Speaker 2: of the laws, a Connecticut's Democrat at the time, and

721
00:38:19,480 --> 00:38:21,080
Speaker 2: he said in nineteen ninety that he was trying to

722
00:38:21,080 --> 00:38:23,360
Speaker 2: reform this to only bring in the best in the brightest.

723
00:38:23,560 --> 00:38:26,480
Speaker 2: Three years after that, nineteen ninety three, the system was

724
00:38:26,520 --> 00:38:29,400
Speaker 2: already broken, bringing in anything but the best in the brightest,

725
00:38:29,440 --> 00:38:33,440
Speaker 2: and big tech companies were firing American workers and hiring

726
00:38:33,480 --> 00:38:35,640
Speaker 2: these foreigners. Well, who were those foreigners even back in

727
00:38:35,680 --> 00:38:38,160
Speaker 2: nineteen ninety three, Well, we know it's the same group

728
00:38:38,200 --> 00:38:41,720
Speaker 2: of people. About seventy four percent are from India, fifteen

729
00:38:41,760 --> 00:38:45,000
Speaker 2: percent or so are from China. Also, we know that

730
00:38:45,120 --> 00:38:47,719
Speaker 2: seventy percent of those who get these visa applications are men.

731
00:38:47,880 --> 00:38:51,399
Speaker 2: So these are largely men from very poor areas trying

732
00:38:51,400 --> 00:38:53,280
Speaker 2: to come to this country to make something of themselves.

733
00:38:53,320 --> 00:38:55,359
Speaker 2: They are trying to sell their labor and get some

734
00:38:55,600 --> 00:38:58,799
Speaker 2: more money than they otherwise would back home. Fine, but

735
00:38:58,920 --> 00:39:00,960
Speaker 2: the law says that you're sposed to pay these people

736
00:39:00,960 --> 00:39:03,960
Speaker 2: the same as you would an American because if not,

737
00:39:04,480 --> 00:39:08,279
Speaker 2: then you create a disincentive to hire Americans. And if

738
00:39:08,320 --> 00:39:10,560
Speaker 2: you're in high school or college, why would you want

739
00:39:10,560 --> 00:39:12,160
Speaker 2: to be a software engineer? Why would you want to

740
00:39:12,440 --> 00:39:15,040
Speaker 2: if you know you can't compete against these people who

741
00:39:15,040 --> 00:39:17,160
Speaker 2: are depressing your wages by forty percent, which is what

742
00:39:17,239 --> 00:39:20,920
Speaker 2: the Department of Labor data show that for these positions,

743
00:39:21,000 --> 00:39:24,480
Speaker 2: Silicon Valley is paying sixty percent of what they should

744
00:39:24,480 --> 00:39:26,839
Speaker 2: be paying to an American worker. That data came out

745
00:39:26,840 --> 00:39:29,120
Speaker 2: this week from the Wall Street Journal. So the point

746
00:39:29,200 --> 00:39:32,200
Speaker 2: is this H one B visa, Although it is celebrated

747
00:39:32,600 --> 00:39:35,120
Speaker 2: as bringing the best on the brightest, that's not true.

748
00:39:35,680 --> 00:39:37,200
Speaker 2: The other thing that we have to remember is that

749
00:39:37,200 --> 00:39:41,920
Speaker 2: we're not just importing labor, we're importing people. These are humans,

750
00:39:42,160 --> 00:39:44,960
Speaker 2: So we should be asking ourselves they're from China and India,

751
00:39:45,200 --> 00:39:47,280
Speaker 2: what kind of humans are they? What do they believe

752
00:39:47,680 --> 00:39:49,200
Speaker 2: they're going to be here for a while, which, by

753
00:39:49,200 --> 00:39:51,360
Speaker 2: the way, H ONEB eventually leads to a green cord

754
00:39:51,440 --> 00:39:54,160
Speaker 2: and citizenship. That's the whole point, as it was set

755
00:39:54,200 --> 00:39:57,360
Speaker 2: up in nineteen ninety. Well, gosh mean up in Canada.

756
00:39:57,360 --> 00:39:59,040
Speaker 2: They're bringing in a lot of folks from both India

757
00:39:59,040 --> 00:40:01,759
Speaker 2: and China, but especially India. That's causing two problems up

758
00:40:01,760 --> 00:40:06,320
Speaker 2: in Canada right now. One is a housing crisis. Sound familiar. Second,

759
00:40:06,800 --> 00:40:10,359
Speaker 2: they're also importing nationalists who are basically with the Indian

760
00:40:10,400 --> 00:40:12,920
Speaker 2: government believes them to be terrorists. There's seekh members of

761
00:40:12,960 --> 00:40:15,840
Speaker 2: the Sikh faith. So we have to be asking ourselves,

762
00:40:15,880 --> 00:40:18,800
Speaker 2: we're not just importing labor, cheap labor that is undermining

763
00:40:18,840 --> 00:40:21,440
Speaker 2: the American worker. We are also bringing in different cultures.

764
00:40:21,800 --> 00:40:25,319
Speaker 2: Are we properly vetting for that. No, the answer is

765
00:40:25,320 --> 00:40:27,640
Speaker 2: the Department of Labor when they're looking at these historically,

766
00:40:27,640 --> 00:40:30,080
Speaker 2: when they've looked at these H one B applications, they're

767
00:40:30,120 --> 00:40:34,520
Speaker 2: looking for completeness, not for accuracy. So maybe these people

768
00:40:34,600 --> 00:40:38,400
Speaker 2: have these masters or you know, bachelor's degree, these advanced things,

769
00:40:38,560 --> 00:40:41,279
Speaker 2: but maybe they don't actually because the Department of Labor

770
00:40:41,280 --> 00:40:43,719
Speaker 2: isn't actually vetting that these schools are real, that the

771
00:40:43,719 --> 00:40:46,600
Speaker 2: degrees are real, and so forth. And we have some

772
00:40:46,840 --> 00:40:50,879
Speaker 2: really painful examples. In fact, just October of this last year,

773
00:40:50,920 --> 00:40:54,520
Speaker 2: October of twenty twenty four Cognizant, which is one of

774
00:40:54,560 --> 00:40:56,719
Speaker 2: these big body stops that are bringing these people in.

775
00:40:57,280 --> 00:41:01,280
Speaker 2: They were just found guilty of discriminating against white workers

776
00:41:01,600 --> 00:41:04,520
Speaker 2: bringing in the brown folk. So I'm not saying that

777
00:41:04,600 --> 00:41:07,640
Speaker 2: this sounds familiar, but it might, you know, bringing in

778
00:41:07,960 --> 00:41:11,200
Speaker 2: foreign brown workers to work in the fields of Silicon Valley.

779
00:41:11,400 --> 00:41:15,360
Speaker 2: It just it starts to feel really really exploitative. And

780
00:41:15,400 --> 00:41:17,880
Speaker 2: I think that that is why, irrespective of your party affiliation,

781
00:41:18,000 --> 00:41:21,319
Speaker 2: the H one B process really should be on our

782
00:41:21,400 --> 00:41:24,480
Speaker 2: radars to ask tough questions. Irrespective that mister Trumpet supports

783
00:41:24,480 --> 00:41:27,280
Speaker 2: it or I Vivek Ramaswami or others or Elon Musk,

784
00:41:27,960 --> 00:41:30,680
Speaker 2: doesn't matter. We love those guys in different ways, but

785
00:41:30,719 --> 00:41:32,960
Speaker 2: we should be asking really tough questions about this H

786
00:41:33,000 --> 00:41:36,120
Speaker 2: one B process because the data suggests that we should.

787
00:41:36,360 --> 00:41:39,720
Speaker 1: Yeah, talk to us about some of your comments about

788
00:41:39,760 --> 00:41:43,719
Speaker 1: the family and how if there's a some of the

789
00:41:43,800 --> 00:41:47,480
Speaker 1: problems that like pro H one B people are talking

790
00:41:47,480 --> 00:41:50,120
Speaker 1: about really can be solved with the family. He said, Like,

791
00:41:51,400 --> 00:41:55,200
Speaker 1: for example, these H one B programs you mentioned, Well,

792
00:41:55,239 --> 00:41:57,520
Speaker 1: why would you major be a software designer if you

793
00:41:57,560 --> 00:41:58,920
Speaker 1: know you're going to come out and get killed in

794
00:41:58,960 --> 00:42:01,040
Speaker 1: the marketplace by an h one and bevisa holder and

795
00:42:01,320 --> 00:42:03,480
Speaker 1: you ain't gonna be able to get paid. I mean,

796
00:42:03,800 --> 00:42:08,280
Speaker 1: it destroys our incentive here as a country to invest

797
00:42:08,440 --> 00:42:12,600
Speaker 1: in our own people. And these universities that have these

798
00:42:12,680 --> 00:42:17,040
Speaker 1: billion plus dollar endowments, they're churning out people with underwater

799
00:42:17,120 --> 00:42:20,640
Speaker 1: basket weaving degrees who are not prepared for the market.

800
00:42:20,800 --> 00:42:23,160
Speaker 1: Yet they're racking up all of this stet you know.

801
00:42:23,200 --> 00:42:25,680
Speaker 1: I feel like in many ways this program distracts us

802
00:42:25,719 --> 00:42:29,160
Speaker 1: from asking those universities hard questions about why aren't you

803
00:42:29,520 --> 00:42:32,920
Speaker 1: better preparing our young people for the marketplace of ideas

804
00:42:33,120 --> 00:42:35,960
Speaker 1: and what professional life is like. Instead, you know what

805
00:42:36,000 --> 00:42:38,839
Speaker 1: we'll do. We'll just import cheap labor to replace them.

806
00:42:39,080 --> 00:42:41,960
Speaker 1: That's exactly what's happening. And so I think that this

807
00:42:42,080 --> 00:42:44,480
Speaker 1: is like this is like a band aid on a

808
00:42:44,520 --> 00:42:47,880
Speaker 1: sucking chest wound, especially when you look at the economic

809
00:42:47,960 --> 00:42:52,320
Speaker 1: numbers with foreign born workers actually outpacing native born Americans

810
00:42:52,320 --> 00:42:54,279
Speaker 1: in the job market, I mean substantially.

811
00:42:54,400 --> 00:42:57,000
Speaker 2: So let's go through this thought experiment for a second.

812
00:42:57,160 --> 00:43:00,440
Speaker 2: What if India didn't exist, what a mare could do?

813
00:43:01,280 --> 00:43:04,520
Speaker 2: But we have to figure it out. Yep, we would

814
00:43:04,960 --> 00:43:07,120
Speaker 2: the country would have to figure it out. But what

815
00:43:07,160 --> 00:43:09,160
Speaker 2: India allows us to do is to skirt the really

816
00:43:09,160 --> 00:43:11,719
Speaker 2: hard questions and the tough issues. It allows us to

817
00:43:11,760 --> 00:43:13,920
Speaker 2: really not address some of the cultural problems that are

818
00:43:13,960 --> 00:43:16,759
Speaker 2: real in this country. Actually, fora vec Ramaswami, although he

819
00:43:17,280 --> 00:43:19,680
Speaker 2: very poorly worded it, I think that he's starting to

820
00:43:19,680 --> 00:43:21,840
Speaker 2: tap into the conversation that we got a family problem.

821
00:43:21,920 --> 00:43:23,560
Speaker 2: We have him a mom and a dad problem. We

822
00:43:23,320 --> 00:43:26,680
Speaker 2: are raising kids probably poorly. We look at their health

823
00:43:26,760 --> 00:43:29,400
Speaker 2: or the obesity crisis. Yeah, there are lots of issues

824
00:43:29,440 --> 00:43:31,440
Speaker 2: that we need to talk about. Being able to import

825
00:43:31,520 --> 00:43:35,520
Speaker 2: cheap foreign labor disallows us to really fix the problem.

826
00:43:36,200 --> 00:43:38,080
Speaker 2: I think we can solve it. In fact, there's a

827
00:43:38,080 --> 00:43:40,040
Speaker 2: great example of this. So one of the things that

828
00:43:40,040 --> 00:43:41,680
Speaker 2: I talk about in my podcast is we got to

829
00:43:41,719 --> 00:43:45,040
Speaker 2: reshore our operations from Mexico or China and the rest.

830
00:43:45,160 --> 00:43:46,759
Speaker 2: One of them that I think we can do and

831
00:43:46,800 --> 00:43:50,719
Speaker 2: should do is the apparel industry. For years, people said, oh, Brian,

832
00:43:50,760 --> 00:43:52,480
Speaker 2: that's never coming back. We got the cheap labor of

833
00:43:52,560 --> 00:43:55,960
Speaker 2: China and Bangladesh and Vietnam. Over the past three months,

834
00:43:56,120 --> 00:43:59,000
Speaker 2: there is a company called American Giant. They worked with

835
00:43:59,080 --> 00:44:02,279
Speaker 2: Walmart to create a T shirt at and they could

836
00:44:02,400 --> 00:44:04,719
Speaker 2: profit from this at twelve dollars for the T shirt

837
00:44:05,080 --> 00:44:07,760
Speaker 2: and sold it in Walmart. This was an American company

838
00:44:07,800 --> 00:44:10,360
Speaker 2: that made an American T shirt in this nation with

839
00:44:10,400 --> 00:44:14,480
Speaker 2: the American workers. Wow, they automated part of the process.

840
00:44:14,520 --> 00:44:16,680
Speaker 2: That was one of the ways that they fixed the problem.

841
00:44:17,080 --> 00:44:19,200
Speaker 2: But the bigger point here is that if we are

842
00:44:19,320 --> 00:44:23,200
Speaker 2: forced to do it, we'll fix the problem. But so

843
00:44:23,280 --> 00:44:25,920
Speaker 2: long as we have India or other places that want

844
00:44:25,920 --> 00:44:27,840
Speaker 2: to give us cheap labor, we are going to be

845
00:44:27,880 --> 00:44:29,760
Speaker 2: kind of like a bear. We didn't want to go hunt.

846
00:44:30,000 --> 00:44:31,279
Speaker 2: We just want to go to the garbage can and

847
00:44:31,280 --> 00:44:34,160
Speaker 2: eat out of that. Right. I'm not trying to say

848
00:44:34,160 --> 00:44:35,480
Speaker 2: that any other humans are garbage.

849
00:44:35,680 --> 00:44:38,239
Speaker 1: That's not the point. I don't think that. I don't

850
00:44:38,239 --> 00:44:38,879
Speaker 1: think that you are.

851
00:44:39,040 --> 00:44:42,640
Speaker 2: But my point is humans, irrespective of where we're at,

852
00:44:42,960 --> 00:44:45,759
Speaker 2: we like the easy path. And that's what India and

853
00:44:45,840 --> 00:44:48,960
Speaker 2: China with eighty whatever percent of those men coming to

854
00:44:49,000 --> 00:44:51,280
Speaker 2: this country paying them sixty percent of what we otherwise

855
00:44:51,280 --> 00:44:54,360
Speaker 2: pay our country or our fellow countrymen, that's what it

856
00:44:54,400 --> 00:44:57,520
Speaker 2: allows us to do. We cheat the hard choices and

857
00:44:57,520 --> 00:44:59,920
Speaker 2: the hard solutions, and I think that's a shame, bea

858
00:45:00,000 --> 00:45:02,400
Speaker 2: as it doesn't serve us medium to long term. We

859
00:45:02,480 --> 00:45:04,960
Speaker 2: might get by on the short term, but it destroys

860
00:45:04,960 --> 00:45:07,000
Speaker 2: the American family, which, by the way, over the past

861
00:45:07,040 --> 00:45:09,279
Speaker 2: forty fifty years, one of the reasons why we've really

862
00:45:09,320 --> 00:45:12,920
Speaker 2: struggled in our families is because the value proposition for

863
00:45:12,960 --> 00:45:14,480
Speaker 2: a lot of women out there when they're meeting some

864
00:45:14,920 --> 00:45:17,920
Speaker 2: men with the data show that value proposition isn't as

865
00:45:17,920 --> 00:45:19,360
Speaker 2: strong as that you should be back in the eighties

866
00:45:19,400 --> 00:45:22,239
Speaker 2: and seventies and sixties and fifties. Guys aren't coming to

867
00:45:22,239 --> 00:45:24,560
Speaker 2: the table making us much money, so the value proposition

868
00:45:24,640 --> 00:45:28,640
Speaker 2: isn't as great to incentivize marriage. That creates problems in families.

869
00:45:28,840 --> 00:45:31,160
Speaker 2: Obviously you don't have as many people getting married, but

870
00:45:31,239 --> 00:45:34,080
Speaker 2: guess what, people are still having sex. Yeah, that's because

871
00:45:34,120 --> 00:45:37,040
Speaker 2: it's fun. That means that babies are born out of weblock.

872
00:45:37,719 --> 00:45:40,160
Speaker 2: So this is especially true in black and brown families,

873
00:45:40,160 --> 00:45:43,799
Speaker 2: but it's also true in white working class families. So

874
00:45:44,160 --> 00:45:46,480
Speaker 2: this really starts to get into a much bigger issue

875
00:45:47,120 --> 00:45:49,800
Speaker 2: beyond the H one B. And at the end of

876
00:45:49,880 --> 00:45:52,600
Speaker 2: the day, if we just say we just need these

877
00:45:52,640 --> 00:45:55,680
Speaker 2: foreign workers, it's really really not doing us a good

878
00:45:56,480 --> 00:45:58,600
Speaker 2: a service in this country to fix some of the

879
00:45:58,680 --> 00:46:03,120
Speaker 2: underlying problems, and that really ultimately is the family man.

880
00:46:03,280 --> 00:46:07,040
Speaker 1: I couldn't agree more. Yeah, all right, So can we

881
00:46:07,120 --> 00:46:10,960
Speaker 1: jump to Mexico for a second. Yes, you loved, We love,

882
00:46:11,040 --> 00:46:14,040
Speaker 1: We love talking about Mexico. We talk about it on

883
00:46:14,040 --> 00:46:17,160
Speaker 1: our Global Intel Update pretty much every single time because

884
00:46:17,160 --> 00:46:21,400
Speaker 1: there's a lot happened in there. It's a critical relationship. Yeah, absolutely,

885
00:46:21,440 --> 00:46:21,880
Speaker 1: I got.

886
00:46:21,800 --> 00:46:23,719
Speaker 2: You got new news on that they have a tara

887
00:46:23,800 --> 00:46:24,960
Speaker 2: for right now. It's awesome.

888
00:46:26,680 --> 00:46:28,480
Speaker 1: All right, so tell us about your new news, and

889
00:46:28,560 --> 00:46:32,600
Speaker 1: of course they're Mexico's now a green crackdown on cartels,

890
00:46:32,719 --> 00:46:36,239
Speaker 1: gangs and illegals. Tell us what you got. Look how

891
00:46:36,280 --> 00:46:37,040
Speaker 1: excited you are.

892
00:46:38,680 --> 00:46:43,080
Speaker 2: It's just like we're my glasses. No, look, it's it's

893
00:46:43,080 --> 00:46:45,839
Speaker 2: a critical relationship because if we can squeeze them right,

894
00:46:45,920 --> 00:46:48,400
Speaker 2: we can fix the deportation issue, we can stop the

895
00:46:48,400 --> 00:46:50,920
Speaker 2: flood of illegals. This is such an important relationship when

896
00:46:50,960 --> 00:46:52,960
Speaker 2: we think about the amount of fentanyl coming into this country.

897
00:46:52,960 --> 00:46:55,760
Speaker 2: The cartel is doing damage all across this nation, especially

898
00:46:55,800 --> 00:46:59,960
Speaker 2: some of our Indian reservations. Just destroying the cartels have

899
00:47:00,040 --> 00:47:02,759
Speaker 2: destroyed some of these Indian reservations. The point is that

900
00:47:02,800 --> 00:47:05,960
Speaker 2: relationship is so important, so let's impact the tariff part.

901
00:47:06,239 --> 00:47:08,000
Speaker 2: So Donald Trump is said he's gonna slap on twenty

902
00:47:08,040 --> 00:47:11,600
Speaker 2: five percent tariff on Mexico. A lot of people have said, oh, no, no, no,

903
00:47:11,640 --> 00:47:13,560
Speaker 2: don't do that. That's mean, or that's bad, or that's

904
00:47:13,600 --> 00:47:17,080
Speaker 2: treating that relationship poorly. Well, over the past week, President

905
00:47:17,120 --> 00:47:19,600
Speaker 2: Shibaum of that country he has slapped her own tariffs

906
00:47:19,600 --> 00:47:23,120
Speaker 2: on Chinese and Asian goods anywhere from nineteen to thirty

907
00:47:23,160 --> 00:47:26,399
Speaker 2: five percent on a barrel and steal a wire. Why

908
00:47:26,440 --> 00:47:29,160
Speaker 2: is she doing that because her domestic producers are saying,

909
00:47:29,200 --> 00:47:32,160
Speaker 2: we are tired of the Asian stuff. It's crushing our

910
00:47:32,320 --> 00:47:34,880
Speaker 2: ability to make these products here at this in this country.

911
00:47:35,040 --> 00:47:38,279
Speaker 2: So very important point I think when Trump slaps on

912
00:47:38,360 --> 00:47:41,520
Speaker 2: our version of tariffs on them, because we can say, hey,

913
00:47:41,840 --> 00:47:44,439
Speaker 2: you're protecting your people, We're going to protect ours two.

914
00:47:44,800 --> 00:47:47,400
Speaker 2: So that's you know, it's important. I think keep that

915
00:47:47,440 --> 00:47:49,880
Speaker 2: in the back of our minds. The tariffs are a

916
00:47:49,960 --> 00:47:52,680
Speaker 2: good and the valuable tool to use. Now, whether or

917
00:47:52,680 --> 00:47:55,640
Speaker 2: not we slap all of that percentage on Mexico and Canada,

918
00:47:55,840 --> 00:47:57,960
Speaker 2: we'll say. But the point is. It is a fair

919
00:47:58,080 --> 00:48:00,000
Speaker 2: thing to use. It's a fair tool the Mexicans are

920
00:48:00,040 --> 00:48:03,240
Speaker 2: showing at right now. The other piece of great news.

921
00:48:04,000 --> 00:48:06,719
Speaker 2: Mexico is, of course now very afraid of Donald Trump.

922
00:48:06,760 --> 00:48:08,439
Speaker 2: We've got some great data on that. Over the past

923
00:48:08,520 --> 00:48:12,240
Speaker 2: couple of months, President Shinbaum locking down her border, stopping

924
00:48:12,360 --> 00:48:17,000
Speaker 2: five hundred thousand people from crossing the border since October. WHOA,

925
00:48:17,280 --> 00:48:20,080
Speaker 2: that's a big deal. Why? Well, basically is because the

926
00:48:20,440 --> 00:48:23,320
Speaker 2: Biden Hearst White House wanted to try to win the presidency,

927
00:48:23,360 --> 00:48:25,120
Speaker 2: they needed that border lockdown. That was one of the

928
00:48:25,160 --> 00:48:27,960
Speaker 2: big issues a lot of us were excited about when

929
00:48:27,960 --> 00:48:30,960
Speaker 2: we went to the polls. That's why Shinebaum and her predecessor,

930
00:48:31,040 --> 00:48:34,080
Speaker 2: Lopez over the daughter shut down the border. About a

931
00:48:34,080 --> 00:48:36,160
Speaker 2: million people did not come into this country that would

932
00:48:36,160 --> 00:48:39,080
Speaker 2: have otherwise. Well, now Shinebaum is still holding the borders

933
00:48:39,080 --> 00:48:42,879
Speaker 2: tall pretty strongly because she's afraid of Trump, and that's

934
00:48:42,880 --> 00:48:45,960
Speaker 2: why she is also deploying her military, her navy, especially

935
00:48:46,280 --> 00:48:50,120
Speaker 2: cracking down cartels in the Sinaloa State and others. And

936
00:48:50,160 --> 00:48:52,920
Speaker 2: that's a really, really good thing that demonstrates that fear

937
00:48:53,040 --> 00:48:55,560
Speaker 2: can work. Might be better to be loved than feared.

938
00:48:55,600 --> 00:48:58,000
Speaker 2: But if you can't be both be feared. Donald Trump,

939
00:48:58,000 --> 00:49:00,000
Speaker 2: I think understands that. And so that is a great,

940
00:49:00,120 --> 00:49:03,560
Speaker 2: great start before even Trump becomes president. That he is

941
00:49:04,560 --> 00:49:08,680
Speaker 2: wild and crazy guy ways actually does get results, and

942
00:49:08,719 --> 00:49:10,239
Speaker 2: we're seeing that in Mexico right now.

943
00:49:10,600 --> 00:49:13,200
Speaker 1: All right, so Canada, so go to our northern border. Now,

944
00:49:13,280 --> 00:49:17,720
Speaker 1: Canada is now bolstering their border security because they probably

945
00:49:17,719 --> 00:49:19,960
Speaker 1: don't love Trump, but maybe they just they just fear him.

946
00:49:20,760 --> 00:49:21,680
Speaker 1: That's that, right, that's it.

947
00:49:22,160 --> 00:49:24,680
Speaker 2: Canada just bumped up the amount of resources they're going

948
00:49:24,719 --> 00:49:27,160
Speaker 2: to commit to our border, our shared border, to one

949
00:49:27,200 --> 00:49:29,960
Speaker 2: billion dollars a little bit less just under. They're gonna

950
00:49:29,960 --> 00:49:34,120
Speaker 2: put more agents, more dogs, more of surveillance towers. They're

951
00:49:34,120 --> 00:49:37,239
Speaker 2: gonna deploy a lot more sensors. Because they're nervous about Trump.

952
00:49:37,360 --> 00:49:41,359
Speaker 2: They know, especially their auto industry would be absolutely decimated.

953
00:49:41,560 --> 00:49:43,560
Speaker 2: They went from about three million jobs at one point

954
00:49:43,600 --> 00:49:46,279
Speaker 2: five million jobs over the past twenty years. They're very

955
00:49:46,320 --> 00:49:49,120
Speaker 2: nervous about losing more jobs. So they don't want this

956
00:49:49,280 --> 00:49:52,839
Speaker 2: terrorfort They are incentivized to make a deal, and they

957
00:49:52,840 --> 00:49:56,040
Speaker 2: are especially incentivized because Justin Trudeau, the current Prime minister,

958
00:49:56,719 --> 00:49:58,600
Speaker 2: ons are he's gonna get thrown out of office in

959
00:49:58,640 --> 00:50:00,640
Speaker 2: the next two or three months. So there's going to

960
00:50:00,719 --> 00:50:03,200
Speaker 2: be a huge political change in Canada and they want

961
00:50:03,200 --> 00:50:05,239
Speaker 2: to be on the right side of Trump so they

962
00:50:05,239 --> 00:50:07,239
Speaker 2: don't screw over their economy as they try to run

963
00:50:07,640 --> 00:50:10,880
Speaker 2: and capture their prime minister position or that the party

964
00:50:11,040 --> 00:50:13,280
Speaker 2: that would be in power. So guess a really interesting

965
00:50:13,360 --> 00:50:17,360
Speaker 2: political ruminations going on up in Canada and that we

966
00:50:17,640 --> 00:50:19,760
Speaker 2: could see play out for our share border.

967
00:50:20,440 --> 00:50:23,319
Speaker 1: Wouldn't it be awesome if Trump did actually make him

968
00:50:23,400 --> 00:50:25,800
Speaker 1: like the fifty first state, we would be a larger

969
00:50:25,880 --> 00:50:29,520
Speaker 1: land mass than I think than the Soviet Union if

970
00:50:29,520 --> 00:50:31,960
Speaker 1: we also acquired Greenland, I think for sure.

971
00:50:32,840 --> 00:50:34,560
Speaker 2: You know, there was a lot of debate back in

972
00:50:34,600 --> 00:50:37,080
Speaker 2: the seventeen and eighteen hundreds that actually the belief was

973
00:50:37,120 --> 00:50:39,319
Speaker 2: in Europe that we would take Canada, that all of

974
00:50:39,320 --> 00:50:42,160
Speaker 2: North America would eventually be ours in addition to Canada.

975
00:50:42,320 --> 00:50:43,359
Speaker 1: How do you know this?

976
00:50:44,000 --> 00:50:46,719
Speaker 2: I don't do anything but work and read. I go

977
00:50:46,760 --> 00:50:50,760
Speaker 2: to Wikipedia. I'm not married. It's weird, so I have time.

978
00:50:51,120 --> 00:50:53,640
Speaker 2: It's fine. I'm going to die alone. That's the point.

979
00:50:54,120 --> 00:50:57,640
Speaker 1: Okay, all right, okay, so can we do some good

980
00:50:57,680 --> 00:51:00,759
Speaker 1: news here? Oh way, no, wait, wait, before we get

981
00:51:00,800 --> 00:51:03,359
Speaker 1: to the good news. I've missed this the last two

982
00:51:03,440 --> 00:51:05,960
Speaker 1: radio shows. Yeah, you were talking to me and you

983
00:51:05,960 --> 00:51:10,120
Speaker 1: were worried about bird flu maybe disrupting the Trump administration,

984
00:51:10,440 --> 00:51:14,000
Speaker 1: maybe people using the same playbook that they did with

985
00:51:14,120 --> 00:51:18,479
Speaker 1: COVID to really undermine his presidency. What are you thinking?

986
00:51:18,560 --> 00:51:20,200
Speaker 1: We did you and I even didn't get a chance

987
00:51:20,239 --> 00:51:22,400
Speaker 1: to talk about this. But what are you seeing? What

988
00:51:22,440 --> 00:51:24,600
Speaker 1: are you worried about about this bird flu? And you're

989
00:51:24,640 --> 00:51:27,800
Speaker 1: not worried, by the way, about the virus itself. No,

990
00:51:28,080 --> 00:51:30,400
Speaker 1: but go go ahead, So let's talk.

991
00:51:30,239 --> 00:51:32,879
Speaker 2: About what we're hearing in the media and in public health.

992
00:51:32,880 --> 00:51:35,160
Speaker 2: We're hearing a lot of talk about pandemic again, the

993
00:51:35,200 --> 00:51:38,080
Speaker 2: bird flu pandemic potentially launching in the next two to

994
00:51:38,120 --> 00:51:41,319
Speaker 2: six months because of some viral mutations in bird flu

995
00:51:41,480 --> 00:51:43,920
Speaker 2: or avian flu. And it does look like there are

996
00:51:43,960 --> 00:51:48,279
Speaker 2: some very modest mutations in the virus that could potentially

997
00:51:48,320 --> 00:51:51,239
Speaker 2: down the road make it more transmissible human to human.

998
00:51:51,320 --> 00:51:54,800
Speaker 2: Right now, it's just putonics going from animals to people. Okay,

999
00:51:55,040 --> 00:51:57,080
Speaker 2: So there are two cases, one in Louisiana one in

1000
00:51:57,120 --> 00:52:02,280
Speaker 2: Canada that really driving this conversation of part two. Well,

1001
00:52:02,960 --> 00:52:04,880
Speaker 2: if you look at both of these cases, and this

1002
00:52:05,320 --> 00:52:08,319
Speaker 2: it is not talked about in the media. Louisiana case,

1003
00:52:08,440 --> 00:52:10,279
Speaker 2: the guy was an elderly gentleman with a lot of

1004
00:52:10,360 --> 00:52:13,520
Speaker 2: underlying conditions. In Canada, that case where the person was

1005
00:52:13,560 --> 00:52:15,320
Speaker 2: on a ventilator for about two and a half weeks.

1006
00:52:15,480 --> 00:52:17,320
Speaker 2: What do we know about that young lady. She was

1007
00:52:17,360 --> 00:52:21,000
Speaker 2: in her teens, She was morbidly obese, She had profound

1008
00:52:21,040 --> 00:52:24,360
Speaker 2: medical problems. That is why she originally went into the hospital.

1009
00:52:24,520 --> 00:52:26,479
Speaker 2: That is not in the news, is it. We don't

1010
00:52:26,520 --> 00:52:29,359
Speaker 2: talk about that. This is exactly what happened in New

1011
00:52:29,440 --> 00:52:32,879
Speaker 2: York City in March and in February of the very

1012
00:52:32,880 --> 00:52:35,640
Speaker 2: early days of the pandemic. About eighty eighty five percent

1013
00:52:35,640 --> 00:52:38,080
Speaker 2: of the people in hospitals on ventilators, but hospitals in

1014
00:52:38,120 --> 00:52:41,759
Speaker 2: general and New York study showed worthy obese. It's the

1015
00:52:41,800 --> 00:52:45,759
Speaker 2: same thing. So my counsel to people is look just

1016
00:52:45,800 --> 00:52:48,760
Speaker 2: like any other virus or bacterial infection, but certainly viral infection.

1017
00:52:49,280 --> 00:52:51,080
Speaker 2: Your body's a temple. You got to make it strong.

1018
00:52:51,680 --> 00:52:53,480
Speaker 2: Not obcit's going to be one of the things that

1019
00:52:53,520 --> 00:52:57,120
Speaker 2: really degrades your immunity. So keep that in mind. Get

1020
00:52:57,120 --> 00:52:58,840
Speaker 2: out there and get some exercise. Even if it's just

1021
00:52:58,880 --> 00:53:01,879
Speaker 2: a brisk walk. That's really really great for you. Look

1022
00:53:01,880 --> 00:53:03,560
Speaker 2: at that high fructose corn syrup. I think you and

1023
00:53:03,600 --> 00:53:05,799
Speaker 2: I talked about that will minimize the amount of that

1024
00:53:05,840 --> 00:53:09,520
Speaker 2: stuff you consume. But just exercise, keep yourself fit. That's

1025
00:53:09,560 --> 00:53:11,480
Speaker 2: going to give you your body the chance that it

1026
00:53:11,560 --> 00:53:15,040
Speaker 2: needs to fight the bird flu. The virus itself is

1027
00:53:15,080 --> 00:53:17,320
Speaker 2: not the grave concern at this point. If it mutates,

1028
00:53:17,360 --> 00:53:20,120
Speaker 2: and we should talk about that, great, but right now

1029
00:53:20,360 --> 00:53:22,920
Speaker 2: not a concern. It's just more panic in this area.

1030
00:53:23,760 --> 00:53:25,719
Speaker 1: So do you think they're going to try to use

1031
00:53:25,719 --> 00:53:26,640
Speaker 1: it to undermine Trump?

1032
00:53:27,040 --> 00:53:30,960
Speaker 2: I do for sure. Look it worked the last iteration, right,

1033
00:53:31,000 --> 00:53:33,400
Speaker 2: And how many people know about the case in Canada

1034
00:53:33,440 --> 00:53:35,759
Speaker 2: and Louisiana the underlying conditions.

1035
00:53:35,360 --> 00:53:35,719
Speaker 1: I didn't know.

1036
00:53:36,200 --> 00:53:39,120
Speaker 2: You just say it's not talked about. But what is

1037
00:53:39,160 --> 00:53:40,880
Speaker 2: talked about the headlines if you read, it's a lot

1038
00:53:40,880 --> 00:53:42,760
Speaker 2: of very scary stuff, a lot of public health officials

1039
00:53:42,800 --> 00:53:45,160
Speaker 2: talking about how bad the Biden White House is handling

1040
00:53:45,160 --> 00:53:46,640
Speaker 2: this and how bad it's going to get. Next three

1041
00:53:46,719 --> 00:53:49,600
Speaker 2: to six months, we could probably have another pandemic. It's

1042
00:53:49,640 --> 00:53:52,080
Speaker 2: a lot of fear, and that's exactly what we saw

1043
00:53:52,160 --> 00:53:54,480
Speaker 2: during COVID. In fact, one of the studies showed that

1044
00:53:54,600 --> 00:53:58,239
Speaker 2: European press had about fifty to fifty in terms of

1045
00:53:58,320 --> 00:54:01,400
Speaker 2: its fear or its skinariness and some of its reporting

1046
00:54:01,480 --> 00:54:03,920
Speaker 2: on the COVID pandemic during that era in Europe, But

1047
00:54:03,960 --> 00:54:07,400
Speaker 2: here was about ninety percent negative, ten percent positive. We're hopeful.

1048
00:54:08,320 --> 00:54:12,080
Speaker 2: I am seeing those same indicators again. And why wouldn't

1049
00:54:13,080 --> 00:54:15,160
Speaker 2: the Democrats want to use anything and everything to take

1050
00:54:15,200 --> 00:54:17,359
Speaker 2: down Trump? Again? Last summer you and I talked about this.

1051
00:54:17,800 --> 00:54:20,680
Speaker 2: Ten percent of Democrats believe that violence is necessary to

1052
00:54:20,800 --> 00:54:24,920
Speaker 2: prevent Donald Trump from becoming president. Another sixty percent, you know,

1053
00:54:25,040 --> 00:54:27,120
Speaker 2: basically have said more or less the same. So we

1054
00:54:27,200 --> 00:54:28,840
Speaker 2: got a lot of people who are very crazy on

1055
00:54:28,880 --> 00:54:31,040
Speaker 2: the left. They don't want Trump in office, and they're

1056
00:54:31,040 --> 00:54:33,239
Speaker 2: going to do whatever they need to do. They're resistance

1057
00:54:33,719 --> 00:54:35,680
Speaker 2: to kick them out. So yeah, I think they're going

1058
00:54:35,760 --> 00:54:37,520
Speaker 2: to use whatever they can to include bird flow.

1059
00:54:38,120 --> 00:54:40,759
Speaker 1: So is this bird flu gain of function? Two? Is

1060
00:54:40,800 --> 00:54:42,880
Speaker 1: this gain of function research? I mean, how did this?

1061
00:54:43,080 --> 00:54:44,040
Speaker 1: Where did this come from?

1062
00:54:44,920 --> 00:54:48,600
Speaker 2: So interestingly in both of these cases, especially the Louisiana case,

1063
00:54:48,640 --> 00:54:50,959
Speaker 2: what we think is happening is when a virus gets

1064
00:54:51,000 --> 00:54:54,120
Speaker 2: inside of the human body and it can't get rid

1065
00:54:54,120 --> 00:54:55,920
Speaker 2: of it. In other words, it can't the immune system

1066
00:54:55,960 --> 00:54:59,200
Speaker 2: isn't functioning well enough that virus sits there and it stews.

1067
00:54:59,320 --> 00:55:01,680
Speaker 2: We become kind of like a Petri dish for the

1068
00:55:02,120 --> 00:55:04,520
Speaker 2: virus that try to mutate to get stronger and then

1069
00:55:04,640 --> 00:55:08,799
Speaker 2: become more virulent or more deadly, more transmissible. In fact,

1070
00:55:08,880 --> 00:55:10,759
Speaker 2: we saw some of that in Africa, a lot of

1071
00:55:10,760 --> 00:55:13,439
Speaker 2: the folks who have HIV some of their viral loads

1072
00:55:13,520 --> 00:55:16,120
Speaker 2: that were not under control. They were sick enough, but

1073
00:55:16,160 --> 00:55:18,279
Speaker 2: they didn't die from COVID, but their bodies were sick

1074
00:55:18,360 --> 00:55:20,359
Speaker 2: enough that the immune system couldn't get rid of it.

1075
00:55:20,760 --> 00:55:24,560
Speaker 2: But their bodies then became this incubator for mutations, and

1076
00:55:24,600 --> 00:55:27,239
Speaker 2: that's what we are seen likely in the case of Louisiana.

1077
00:55:27,280 --> 00:55:30,319
Speaker 2: We are probably seeing the same up in Canada. And

1078
00:55:30,360 --> 00:55:32,480
Speaker 2: I would also note then we also have some really

1079
00:55:32,480 --> 00:55:34,759
Speaker 2: good blood data that's showing that farm workers who are

1080
00:55:34,800 --> 00:55:37,840
Speaker 2: getting infected from cows or birds and the chickens and such,

1081
00:55:38,520 --> 00:55:41,279
Speaker 2: many of them have antibodies already in their blood and

1082
00:55:41,320 --> 00:55:44,399
Speaker 2: showing that they've been infected already and they had either

1083
00:55:44,440 --> 00:55:48,239
Speaker 2: no symptoms or pink eye. So that again underlines kind

1084
00:55:48,280 --> 00:55:50,640
Speaker 2: of COVID doesn't that sound familiar? That most people get it,

1085
00:55:50,640 --> 00:55:52,080
Speaker 2: they don't have it, or maybe they feel a little

1086
00:55:52,080 --> 00:55:54,279
Speaker 2: bit crummy for a while, and that's it. So that

1087
00:55:54,400 --> 00:55:56,920
Speaker 2: I think we are seeing again just viruses writ large.

1088
00:55:57,200 --> 00:55:59,520
Speaker 2: That is what happens inside of people who are sick,

1089
00:55:59,560 --> 00:56:01,640
Speaker 2: but not at the end of their lives. Their bodies

1090
00:56:01,680 --> 00:56:05,160
Speaker 2: become incubators for these viruses to change and mutate. Unless

1091
00:56:05,160 --> 00:56:07,480
Speaker 2: you're in wuhan, then you got some scientists like the

1092
00:56:07,480 --> 00:56:09,840
Speaker 2: bat lady. She just does it for you.

1093
00:56:10,360 --> 00:56:14,320
Speaker 1: Okay, So let's do some good news. So I always

1094
00:56:14,360 --> 00:56:16,760
Speaker 1: like to end. So this was a very very serious.

1095
00:56:17,239 --> 00:56:19,719
Speaker 1: Lots of serious stuff we talked about today. But what

1096
00:56:19,800 --> 00:56:21,600
Speaker 1: do you got on lung fibrosis?

1097
00:56:22,600 --> 00:56:24,719
Speaker 2: Gosh, this is one of those great examples where we

1098
00:56:24,800 --> 00:56:27,680
Speaker 2: have drugs on the shelf that could be repurposed for

1099
00:56:27,719 --> 00:56:29,279
Speaker 2: other things. We just have to do a lot of

1100
00:56:29,280 --> 00:56:32,600
Speaker 2: studying to try to figure that out. But artificial intelligence

1101
00:56:32,640 --> 00:56:35,040
Speaker 2: is helping us do that. One of the things that

1102
00:56:35,080 --> 00:56:38,840
Speaker 2: we have discovered through artificial intelligence is repurposing a drug

1103
00:56:39,000 --> 00:56:41,120
Speaker 2: for autism. You and I have talked about that, so

1104
00:56:41,120 --> 00:56:44,400
Speaker 2: so cool. The active ingredient in emodium. The other one

1105
00:56:45,040 --> 00:56:49,560
Speaker 2: is robotum. The active ingredient and that dexterro morphin it

1106
00:56:49,640 --> 00:56:53,280
Speaker 2: is called, that will help with lung fibrosis. That addresses

1107
00:56:53,920 --> 00:56:57,239
Speaker 2: the lung cells and becoming stiff. Folks out there who

1108
00:56:57,320 --> 00:57:01,319
Speaker 2: might have things like romatoid arthritis conditions, maybe breathing a

1109
00:57:01,320 --> 00:57:05,360
Speaker 2: lot of cold doster or asbestos. That drug in the

1110
00:57:05,360 --> 00:57:09,560
Speaker 2: active ingredient in robotussin, This dexter o morphine could be

1111
00:57:09,600 --> 00:57:13,840
Speaker 2: a very very notable therapeutic. Some scientists in Germany have

1112
00:57:13,880 --> 00:57:16,400
Speaker 2: discovered this. So it's a really wonderful piece of news.

1113
00:57:16,480 --> 00:57:18,880
Speaker 2: As I go around the world, I'm looking for good

1114
00:57:18,880 --> 00:57:21,920
Speaker 2: news everywhere, but especially medical news. There's a lot of

1115
00:57:21,920 --> 00:57:24,600
Speaker 2: great stuff happening out there. To include our friends in Germany,

1116
00:57:24,800 --> 00:57:27,440
Speaker 2: we offered them hat tip for this robotessm tip.

1117
00:57:28,080 --> 00:57:32,080
Speaker 1: Okay, So you know, we talked about pancreatic cancer on

1118
00:57:32,120 --> 00:57:34,960
Speaker 1: the radio the other day and got so many people

1119
00:57:35,880 --> 00:57:39,720
Speaker 1: rode in and have been affected by this just devastating

1120
00:57:40,240 --> 00:57:43,000
Speaker 1: form of cancer. You know, I've learned a lot about

1121
00:57:43,040 --> 00:57:45,560
Speaker 1: it since we started talking about it. Once you're diagnosed,

1122
00:57:45,600 --> 00:57:50,920
Speaker 1: it's almost too late. And so this is this news

1123
00:57:51,080 --> 00:57:53,439
Speaker 1: gave them a lot of hope that at least there

1124
00:57:53,520 --> 00:57:55,400
Speaker 1: was maybe something that could help.

1125
00:57:55,960 --> 00:57:59,520
Speaker 2: Yeah, so two things want so pancreatic cancer tenstroon in

1126
00:57:59,600 --> 00:58:03,000
Speaker 2: families generally speaking. So there are two new blood tests

1127
00:58:03,040 --> 00:58:04,760
Speaker 2: that if that affects you and in your family, you

1128
00:58:04,760 --> 00:58:07,000
Speaker 2: should definitely know about. One is a blood test out

1129
00:58:07,000 --> 00:58:09,840
Speaker 2: of Canada. The other is I believe it's out of Iowa.

1130
00:58:10,520 --> 00:58:12,400
Speaker 2: And what they're looking to do in the Iowa example,

1131
00:58:12,400 --> 00:58:14,959
Speaker 2: which is really wonderful, they're taking the current test which

1132
00:58:15,000 --> 00:58:17,880
Speaker 2: isn't very accurate, about forty percent accurate, a lot of

1133
00:58:17,920 --> 00:58:20,600
Speaker 2: false positives, a lot of false negatives. They bump that

1134
00:58:20,680 --> 00:58:23,200
Speaker 2: up to about seventy four percent accuracy with virtually no

1135
00:58:23,280 --> 00:58:26,439
Speaker 2: false positives and no false negatives. So taking that test

1136
00:58:26,560 --> 00:58:30,360
Speaker 2: early could be profoundly important. You can then't remove those

1137
00:58:30,400 --> 00:58:33,520
Speaker 2: tumors or some of those cysts on the pancreas and

1138
00:58:33,600 --> 00:58:37,400
Speaker 2: save your life. It's incredible. But if you've already been diagnosed,

1139
00:58:37,440 --> 00:58:39,080
Speaker 2: one of the great things that we're also hearing out

1140
00:58:39,080 --> 00:58:42,480
Speaker 2: of Iowa is a wonderful, just very simple thing, and

1141
00:58:42,520 --> 00:58:44,960
Speaker 2: that is a vitamin seed drip. This is also true

1142
00:58:44,960 --> 00:58:47,560
Speaker 2: by the way, for brain cans or geoblastomas. What it's

1143
00:58:47,560 --> 00:58:50,560
Speaker 2: showing is it's dramatically increasing the lifespan of these people.

1144
00:58:50,760 --> 00:58:53,800
Speaker 2: It's just a simple IV drip. Great news on that

1145
00:58:53,920 --> 00:58:57,480
Speaker 2: is no side effects and people just feel better on this. Now,

1146
00:58:57,640 --> 00:58:59,560
Speaker 2: there's been some great science in decades gone by to

1147
00:58:59,600 --> 00:59:01,920
Speaker 2: these vita and seed drips are really really great. But

1148
00:59:02,200 --> 00:59:05,160
Speaker 2: this is just wonderful confirmation that this is a great,

1149
00:59:05,240 --> 00:59:07,280
Speaker 2: easy solution. So people should talk to their docs and

1150
00:59:07,320 --> 00:59:11,800
Speaker 2: oncologists about getting the vitamin seed drip. Also interesting chemo,

1151
00:59:12,240 --> 00:59:14,840
Speaker 2: if you're going to get it, morning hours are the

1152
00:59:14,840 --> 00:59:16,800
Speaker 2: best time to do that. We've got some really interesting

1153
00:59:16,840 --> 00:59:19,600
Speaker 2: research out of the UCLA that shows the cancer sellf

1154
00:59:19,880 --> 00:59:23,360
Speaker 2: have like a Sarkidia rhythm. They're most vulnerable to chemo

1155
00:59:23,440 --> 00:59:25,880
Speaker 2: in the morning hours. That's interesting. A lot of folks

1156
00:59:25,920 --> 00:59:28,480
Speaker 2: don't know that. I've talked about that this week. So

1157
00:59:28,520 --> 00:59:31,760
Speaker 2: we've got some really interesting innovations on this. Also, with chemo,

1158
00:59:31,880 --> 00:59:35,120
Speaker 2: sometimes people can get sort of a resulting skin condition.

1159
00:59:35,160 --> 00:59:38,600
Speaker 2: It can be really debilitating. Vitamin D and high doses

1160
00:59:38,960 --> 00:59:41,080
Speaker 2: can solve that as well. So we've got some really

1161
00:59:41,080 --> 00:59:45,120
Speaker 2: interesting natural solutions to problems already on the shelf. So

1162
00:59:45,120 --> 00:59:48,360
Speaker 2: if you're struggling with pancreatic cancer or you're going through chemo,

1163
00:59:48,760 --> 00:59:51,560
Speaker 2: boy there's some great solutions out there to really explore.

1164
00:59:51,920 --> 00:59:53,240
Speaker 2: One of the bigger ones, by the way, you not

1165
00:59:53,280 --> 00:59:57,200
Speaker 2: talked about is exercise. There's some brilliant extra data on

1166
00:59:57,360 --> 00:59:59,320
Speaker 2: now coming out of Israel about that as well. So

1167
00:59:59,720 --> 01:00:02,200
Speaker 2: a lot of moments and places of hope all around

1168
01:00:02,240 --> 01:00:05,080
Speaker 2: the world about pink created cancer and chemo treatments, and

1169
01:00:05,320 --> 01:00:08,600
Speaker 2: I'm so excited. This week on Tuesday and Wednesday offered

1170
01:00:08,720 --> 01:00:11,280
Speaker 2: eight of good medical news for folks who want to

1171
01:00:11,320 --> 01:00:12,400
Speaker 2: explore those episodes.

1172
01:00:12,800 --> 01:00:14,840
Speaker 1: What's the man? This is This is why we love

1173
01:00:14,880 --> 01:00:17,160
Speaker 1: having you my friend. And I get I get messages

1174
01:00:17,200 --> 01:00:20,120
Speaker 1: from people on social media and other places here in

1175
01:00:20,120 --> 01:00:22,000
Speaker 1: the live chat about how they listen to your podcast

1176
01:00:22,000 --> 01:00:23,919
Speaker 1: and their site for you to come on. I mean,

1177
01:00:24,080 --> 01:00:27,760
Speaker 1: I think it's awesome. I think it's in people. Certainly

1178
01:00:27,800 --> 01:00:31,880
Speaker 1: my audience absolutely loves it. So tell everybody who's listening

1179
01:00:32,440 --> 01:00:35,640
Speaker 1: where they can find you, how they can subscribe, how

1180
01:00:35,640 --> 01:00:36,440
Speaker 1: they can support you.

1181
01:00:37,080 --> 01:00:38,880
Speaker 2: Well, it's pretty easy. You just got to look at

1182
01:00:38,920 --> 01:00:40,400
Speaker 2: this cup right here, I'll look at us.

1183
01:00:40,440 --> 01:00:41,040
Speaker 1: Here we go here.

1184
01:00:41,040 --> 01:00:43,880
Speaker 2: It is the right report. My last You're like, you're

1185
01:00:43,960 --> 01:00:46,600
Speaker 2: like a barker girl from the Price is right. Okay,

1186
01:00:46,640 --> 01:00:49,240
Speaker 2: you know he has barker boys. Now, you know, why

1187
01:00:49,280 --> 01:00:50,640
Speaker 2: don't I have to be that? You know what, forget,

1188
01:00:50,680 --> 01:00:53,120
Speaker 2: I'm gonna be the gal. I'm gonna put on like.

1189
01:00:53,080 --> 01:00:55,760
Speaker 1: A curtain behind you for merch and you can pull

1190
01:00:55,760 --> 01:00:57,640
Speaker 1: the curtain out of the way and then showcase your

1191
01:00:57,680 --> 01:00:58,160
Speaker 1: merch like.

1192
01:00:58,200 --> 01:01:00,200
Speaker 2: But I gotta I gotta brighten the teeth again, right,

1193
01:01:00,200 --> 01:01:01,720
Speaker 2: I got it. That was one of the important things.

1194
01:01:02,120 --> 01:01:03,480
Speaker 1: That was one of the first thing that people know.

1195
01:01:03,600 --> 01:01:04,920
Speaker 2: I know, I gotta I gotta work on that.

1196
01:01:05,000 --> 01:01:09,000
Speaker 1: I got to get a guy a whitening sponsor. We

1197
01:01:09,080 --> 01:01:12,200
Speaker 1: got if there's any white hunters out there, you gotta

1198
01:01:12,240 --> 01:01:13,640
Speaker 1: be sponsored in the Right Report.

1199
01:01:13,680 --> 01:01:16,760
Speaker 2: This guy's gotta thrgo hydrogen proxy.

1200
01:01:16,840 --> 01:01:18,760
Speaker 1: That's that's how I got just to look into the

1201
01:01:18,800 --> 01:01:19,680
Speaker 1: camera at you.

1202
01:01:21,120 --> 01:01:23,640
Speaker 2: Oh my god. Normally people just need blinders because I

1203
01:01:23,720 --> 01:01:26,800
Speaker 2: blind them otherwise looking at me and I break mirrors. Look.

1204
01:01:26,840 --> 01:01:28,760
Speaker 2: So yeah, you can find me on Right Report. Uh

1205
01:01:28,760 --> 01:01:31,120
Speaker 2: that I'm there. Any your favorite podcasts, you can hop

1206
01:01:31,160 --> 01:01:33,520
Speaker 2: on them every morning Monday through Friday, usually buy six

1207
01:01:33,560 --> 01:01:36,920
Speaker 2: am Eastern uh. And also if you want the sourcing

1208
01:01:37,000 --> 01:01:38,920
Speaker 2: for all of this, which I really really encourage people

1209
01:01:38,920 --> 01:01:41,800
Speaker 2: to do, if they want that medical news, that medical information.

1210
01:01:41,840 --> 01:01:43,680
Speaker 2: I got all of the sourcing. You can click on

1211
01:01:43,680 --> 01:01:46,960
Speaker 2: the hyperlinks explore all the underlying data. This week on

1212
01:01:47,000 --> 01:01:48,440
Speaker 2: Tuesday and Wednesday, I did that. You go to right

1213
01:01:48,520 --> 01:01:51,439
Speaker 2: Report dot substack dot com, seventy bucks a year, six

1214
01:01:51,440 --> 01:01:54,000
Speaker 2: bucks a month, pull down those transcripts and send that

1215
01:01:54,080 --> 01:01:57,400
Speaker 2: out to anybody and everybody would like to improve health

1216
01:01:57,400 --> 01:01:58,720
Speaker 2: and improve.

1217
01:01:58,480 --> 01:02:02,800
Speaker 1: Spirits and everybody out there go support Brian dean Wright.

1218
01:02:03,200 --> 01:02:06,960
Speaker 1: Brian as always, thank you for being flexible and coming

1219
01:02:06,960 --> 01:02:09,320
Speaker 1: on the show today. Normally Friday's kind of what you do.

1220
01:02:09,440 --> 01:02:12,480
Speaker 1: But thank you for being flexible. Thank you for coming on.

1221
01:02:12,560 --> 01:02:15,640
Speaker 1: The audience loves you. We'll see him maybe next week.

1222
01:02:15,960 --> 01:02:17,960
Speaker 1: Let's do it all right, see you, my friend. Thank

1223
01:02:18,000 --> 01:02:20,440
Speaker 1: you every much. That's Brian Dean Wright, one of the

1224
01:02:20,440 --> 01:02:22,520
Speaker 1: best in the business. I'm super lucky to have his

1225
01:02:22,680 --> 01:02:25,920
Speaker 1: expertise on the show on a weekly basis. Yeah, folks,

1226
01:02:26,000 --> 01:02:28,040
Speaker 1: he's the best. You should definitely go out there and

1227
01:02:28,040 --> 01:02:32,080
Speaker 1: support him any way that you can. Quick reminder, before

1228
01:02:32,080 --> 01:02:34,760
Speaker 1: we pop smoke for the day, I will be out

1229
01:02:34,800 --> 01:02:37,960
Speaker 1: of town tomorrow, so no show tomorrow. Back to regularly

1230
01:02:38,000 --> 01:02:42,960
Speaker 1: scheduled programming. One hundred percent full Court Press next week

1231
01:02:43,080 --> 01:02:46,320
Speaker 1: and on make sure you smash that like button, that

1232
01:02:46,360 --> 01:02:49,080
Speaker 1: little green thumb beneath the video, smash it on your

1233
01:02:49,080 --> 01:02:51,080
Speaker 1: way out. Let's try to get to four hundred likes.

1234
01:02:51,280 --> 01:02:53,600
Speaker 1: And yes, I will be in Washington, d C. For

1235
01:02:53,600 --> 01:02:56,360
Speaker 1: those who may be joining us late for the swearing

1236
01:02:56,400 --> 01:02:59,160
Speaker 1: in of the US Senate tomorrow. Kind Of nervous about

1237
01:02:59,200 --> 01:03:01,880
Speaker 1: going to DC. I'm a country boy, don't like going there,

1238
01:03:01,920 --> 01:03:03,440
Speaker 1: but it's an honor to be invited and to be

1239
01:03:03,480 --> 01:03:06,080
Speaker 1: a part of the process. So we're gonna make the

1240
01:03:06,120 --> 01:03:09,040
Speaker 1: best of it. But until I figure out this guest

1241
01:03:09,040 --> 01:03:13,360
Speaker 1: hosting thing, unfortunately I don't know that we're at that

1242
01:03:13,440 --> 01:03:16,760
Speaker 1: point yet. But I have no show tomorrow because I

1243
01:03:16,800 --> 01:03:18,240
Speaker 1: don't think I'm gonna be able to make it work.

1244
01:03:18,360 --> 01:03:22,360
Speaker 1: But next week good to go, so folks listen, have

1245
01:03:22,400 --> 01:03:25,160
Speaker 1: a great weekend. I'll probably do what I'm gonna try

1246
01:03:25,160 --> 01:03:26,760
Speaker 1: to do, by the way, is do a live video

1247
01:03:26,880 --> 01:03:29,560
Speaker 1: down there from DC and post it on locals for

1248
01:03:29,640 --> 01:03:32,480
Speaker 1: you all, just so we can get an opportunity to connect.

1249
01:03:32,520 --> 01:03:34,600
Speaker 1: And if something happens, I'll just go live and put

1250
01:03:34,600 --> 01:03:37,439
Speaker 1: it on locals and we can just engage on there

1251
01:03:38,120 --> 01:03:40,760
Speaker 1: just in case. But as always, folks, I'll see you

1252
01:03:40,800 --> 01:03:44,120
Speaker 1: on Monday. Have a great, great weekend. You all are

1253
01:03:44,160 --> 01:03:46,640
Speaker 1: the best audience in the world. It's awesome to see

1254
01:03:46,640 --> 01:03:48,680
Speaker 1: this show grow. Tell your family and your friends to

1255
01:03:48,720 --> 01:03:50,800
Speaker 1: subscribe to Battleground Live. We wanted to be a part

1256
01:03:50,800 --> 01:03:54,600
Speaker 1: of this movement. Smash the like button and God bless

1257
01:03:54,640 --> 01:03:57,520
Speaker 1: you all, and God bless this amazing country that we

1258
01:03:57,560 --> 01:03:59,880
Speaker 1: call home. Take care, good night, and I will see

1259
01:03:59,880 --> 01:04:02,560
Speaker 1: you on Monday. Have a great, great weekend.