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Speaker 1: With us attorney Piero and all of our great attorneys.

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Speaker 2: Pierre.

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Speaker 3: There you see General Bondi, director Matelo or Tepping, the

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Speaker 3: director of Bentino. Can you describe was there a particular

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Speaker 3: moment where the evidence is coming in and it's starting

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Speaker 3: to look like progress is being made? Which what was

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Speaker 3: the moment that you knew that you were on the

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Speaker 3: road to solving the case.

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Speaker 4: Yeah, I was smiling at you because I certainly remember

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Speaker 4: the moment. Darren remembers it too. He said, are you

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Speaker 4: sitting down? Called me on the phone. I said, oh boy,

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Speaker 4: why it's this bad news? And he said, I think

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Speaker 4: we got him. What exactly that tip was? I We're

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Speaker 4: gonna have to pass on that for right now while

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Speaker 4: we're still there's obviously we're in the prologue of a

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Speaker 4: long book. This is just the beginning. This is not

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Speaker 4: the end of the investigation. As you all well know,

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Speaker 4: havn't reported on these for a long time. There's interviews

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Speaker 4: to be conducted, the search war in processing scene is

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Speaker 4: not even done, so we're at the early stages. So

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Speaker 4: that's the only reason I hesitate tell you what the

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Speaker 4: exact tip I was. But yes, that was absolutely the moment,

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Speaker 4: and it was due to the diligent and incredible work

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Speaker 4: of a team in the Washington Field office that came

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Speaker 4: in and just scoured through this over and over and

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Speaker 4: over and over again.

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Speaker 3: Forensic Was it a phone call? Was it something about

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Speaker 3: a vehicle?

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Speaker 4: I will just leave it generally forensic evidence. Yeah, it's

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Speaker 4: fair enough to say, excuse me, I'd rather not say

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Speaker 4: because of the ongoing interview process, and I don't want to.

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Speaker 5: I just want to add something to tell you how

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Speaker 5: thorough this team was. That that moment that was kind

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Speaker 5: of like the Aha moment, That.

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Speaker 6: Wasn't the end.

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Speaker 5: This team continued to work and work and work to

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Speaker 5: get every bit of evidence that we could get. We

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Speaker 5: didn't stop at that moment. And that's a testament to

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Speaker 5: the fact that the team wanted every possible evidence, piece

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Speaker 5: of evidence that they could gather.

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Speaker 6: Well more, one more killing.

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Speaker 7: John Wals, thank you so much.

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Speaker 8: Have you recovered the notable sneakers? Have you done surveillance

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Speaker 8: of this suspect from that Aha moment to when you

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Speaker 8: exercise the search warns today? And obviously this happened on

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Speaker 8: January fifth into January sixth. How should the public look

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Speaker 8: at this case separate from all of the cases related

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Speaker 8: to what transpired on January sixth and the President's subsequent parties.

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Speaker 1: I'm going to let Director Betel take the evidence part.

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Speaker 1: We have to be careful. Again, You've asked very good

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Speaker 1: investigative questions, but this is ongoing, very active. America should

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Speaker 1: feel safer today we say a pipe bomb, These are bombs.

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Speaker 1: These were live, active bombs that were placed in Washington, DC. Director,

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Speaker 1: thank you.

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Speaker 9: This shows you how much detail you and the American

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Speaker 9: public have paid attention to this case. Of course, we

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Speaker 9: analyze everything that you're seeing on this poster board and

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Speaker 9: information that you will see through the formal charging process

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Speaker 9: and court process, but we want to let that evidence

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Speaker 9: speak for itself because again, we do not want to

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Speaker 9: disrupt the accountability that we owe the American public. Yes

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Speaker 9: you heard about the cell phone tower data. Yes you

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Speaker 9: heard about Of course, we surveil individuals who we think

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Speaker 9: we're going to blow up American citizens, But how and

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Speaker 9: when we do it and why we do it is

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Speaker 9: not something we're ever going to reveal unless the Department

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Speaker 9: of Justice deems it fit at trial. So we appreciate

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Speaker 9: your attention to detail and your hardcore investigative work. But

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Speaker 9: you can just imagine some of those same skills were

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Speaker 9: being utilized by this FBI, this Department of Justice, our partners,

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Speaker 9: the ATF and everybody across the board. And this is

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Speaker 9: an interagency win for the American people.

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Speaker 7: Well, thank you all.

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Speaker 1: And one more thing, this is the best birthday present

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Speaker 1: I think Deputy Director bon Gino could ask for today.

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Speaker 1: Happy Holidays, Merry Christmas.

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Speaker 6: Thank you.

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Speaker 10: This is what happens when the fourth Turning meets fifth

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Speaker 10: generation warfare.

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Speaker 8: A commentator, international social media sensation and former Navy intelligence veteran,

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Speaker 8: This is Human Events with your host Jack Pasovic, christ

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Speaker 8: Is King.

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Speaker 10: All right, Jack Pisovic, we are here live Human Events Daily.

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Speaker 10: We're live on Real America's Voice, and we just finished

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Speaker 10: the press conference where the FBI, the Department of Justice,

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Speaker 10: they all came in and today is Lindy Jill walk forward.

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Speaker 10: Today's December fourth, five and Dominie. They all made this

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Speaker 10: arrest of Brian Cole, we're told is the suspect. Now,

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Speaker 10: not a lot of information was revealed of this case.

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Speaker 10: The only piece that we have so far, at least

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Speaker 10: confirmed by Deputy Director was that this was pre existing information.

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Speaker 10: He also heard the Attorney General say that this was

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Speaker 10: information that had been collecting dust. I want to go

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Speaker 10: now to our in guest studio, doctor Charles cornish Dale,

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Speaker 10: who joins us now. You guys may know him as

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Speaker 10: the Raw Egg Nationalists.

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Speaker 2: What's up, brother, h It's great to be with you,

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Speaker 2: Jack and I. I think I'm sitting in your seat today.

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Speaker 10: Indeed you are, you're sitting You're sitting in my seat today.

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Speaker 10: We were in separate studios, but yes, that is that

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Speaker 10: is one of my studios right there.

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Speaker 6: Very nice.

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Speaker 10: What you make What do you make of what we

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Speaker 10: know so far about this bomber. We're waiting to get

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Speaker 10: confirmation on an official photo. I don't know if one

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Speaker 10: has been released yet, but we did hear from multiple

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Speaker 10: sources now about potential anarchist writings that were associated with

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Speaker 10: the individual. Would have been about twenty five or twenty

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Speaker 10: six around the time of this bombing.

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Speaker 2: Yeah, so they're not They haven't released a huge amount

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Speaker 2: of information about this suspect yet, but the information that

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Speaker 2: has been released shouldn't really surprise us. You know, people

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Speaker 2: are already talking on Twitter about the family business, which

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Speaker 2: appears to be related to bail bonds for immigrants, and

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Speaker 2: you know, then there's also this material, this potentially these anarchist,

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Speaker 2: these anarchist writings, So it looks like, actually, maybe what

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Speaker 2: we're dealing with is something akin to a false flag.

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Speaker 2: And you know that was that was suggested from the

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Speaker 2: very beginning. Actually, you know that there were that there

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Speaker 2: were leftist agitators involved in the events of January the sixth,

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Speaker 2: And you know, really what it what I think it

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Speaker 2: tells us is that we need to go back, and

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Speaker 2: we need to we need to look at January sixth. Again.

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Speaker 2: We still don't know the full story. We still don't

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Speaker 2: know exactly what was going on. You know, we still

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Speaker 2: don't know who the FBI's confidential informants were who were

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Speaker 2: on the ground, and I think it was you know,

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Speaker 2: there were dozens on the ground that day, but we

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Speaker 2: also don't know actually whether you know, there were there

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Speaker 2: really were elements of a leftist full flag taking place.

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Speaker 10: Well, and and look, you know, there's all of that

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Speaker 10: needs to be discussed because now when we see these

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Speaker 10: reports about anarchist writings, we see these reports and remember

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Speaker 10: this was someone who we knew had attacked not just

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Speaker 10: the R and c but also the DNC. So someone

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Speaker 10: who clearly perhaps had an extra grind with both parties

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Speaker 10: isn't necessarily a member of a mainstream political movement, And

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Speaker 10: that does actually fit the profile of one who we

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Speaker 10: would see on the as an anti government or an anarchist,

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Speaker 10: anti fascist extremist, where that is exactly how they look. Now,

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Speaker 10: you know, we're going through and I'm trying to pull

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Speaker 10: up on CNN or FBI whether any more information is

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Speaker 10: coming out on this. He's been charged at this point

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Speaker 10: of using an explosive device.

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Speaker 6: We only had that grainy surveillance footage.

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Speaker 10: And again what we do see though, is that it

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Speaker 10: seems that the home that he was living in, and

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Speaker 10: I believe we have a shot of the home where

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Speaker 10: he was living, that this seems to be an affluent individual.

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Speaker 10: Those home prices in that area in northern Virginia, just

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Speaker 10: outside of Washington, DC, are very very high. And so,

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Speaker 10: doctor Cornishdale, what do you make of the idea this

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Speaker 10: could have been the sun of a fairly wealthy, upper

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Speaker 10: middle class family.

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Speaker 6: Is that a profile that we've seen before anywhere?

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Speaker 2: Yeah? Yeah, No, it's a profile we all should be

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Speaker 2: familiar with. I mean, I think that what we're seeing

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Speaker 2: is yeah, I mean, we're seeing a familiar pattern from history.

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Speaker 2: I mean, it's it's these these leftist agitators, these anarchist agitators.

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Speaker 2: You know a lot of them aren't from the lump

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Speaker 2: and proletariat as it were. You know, they're not the

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Speaker 2: lowest of the low. They're actually potentially educated people. They're

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Speaker 2: people from wealthy backgrounds, and yet they share in, you know,

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Speaker 2: the sort of the leftist goal, the leftist dream of

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Speaker 2: leveling society. So no, I mean it shouldn't it shouldn't

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Speaker 2: be a it shouldn't be a surprise at all to

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Speaker 2: us if it does turn out that actually this is

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Speaker 2: somebody who is from an affluent background, you know, I

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Speaker 2: mean Luigi Mangioni he he wasn't from a poor.

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Speaker 6: Back, exactly what I was thinking of.

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Speaker 2: Yeah, so you know, I mean, yeah, we're seeing a

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Speaker 2: pattern emerge, and not just a kind of longer term pattern,

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Speaker 2: but even just a pattern within the last year or

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Speaker 2: so from Luigiman. And it's the same kinds of people

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Speaker 2: carrying out these crimes, you know, and more attention needs

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Speaker 2: to be paid to them by law enforcement. I think.

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Speaker 2: I mean, it's you know, these are preventable. A lot

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Speaker 2: of these are preventable crimes. I think law enforcement needs

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Speaker 2: to get ahead of them because there are going to

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Speaker 2: be more. I mean, that's one thing we can say.

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Speaker 2: You know, there are going to be more attacks like this,

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Speaker 2: more attempts to assassinate political figures, more attempts to plant

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Speaker 2: pipe bombs, more attempts to spread terror and confusion, and

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Speaker 2: also perhaps as with this pipe bombing attack, you know,

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Speaker 2: maybe to sew maybe to sow dissension, maybe to kind

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Speaker 2: of try to implicate the right actually in the in

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Speaker 2: the left scheme to overturn society.

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Speaker 10: Possibly or even just saw it as a target of opportunity.

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Speaker 6: Knew that there would be what did we know? Right?

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Speaker 6: What do we know?

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Speaker 10: We knew that on January sixth, prior to you that

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Speaker 10: that there would be a large gathering of Trump supporters

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Speaker 10: in Washington, d C. On that day, and so it

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Speaker 10: certainly could have been just from the basics of it,

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Speaker 10: certainly could have been an attempt to target those individuals

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Speaker 10: who were you know, who were marching. I was personally

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Speaker 10: there that day. I was in and around the Capitol,

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Speaker 10: I was down at the ellipse. I went walked up

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Speaker 10: to the war room with Steve Bannon and sat down

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Speaker 10: at the table and then went back. Was walking down

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Speaker 10: Capitol Hill right as the now. Of course, the pipe

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Speaker 10: bombs didn't go off, but I did see these stun

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Speaker 10: grenades and the flash bangs thrown by the Capitol Police

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Speaker 10: on January sixth, as the crowd was peaceful.

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Speaker 6: Which led to you know, much confusion and all of

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Speaker 6: the pushing and shoving.

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Speaker 10: And we saw how that spiraled out of control, and so,

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Speaker 10: you know it, We certainly knew that it was going

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Speaker 10: to be a rough situation, a target of opportunity potentially

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Speaker 10: for someone. That's why a lot of people had speculated

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Speaker 10: just going into it that there could be some agitators,

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Speaker 10: some antie But typically when you know, as a guy

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Speaker 10: who's hold held his fair share of Trump rallies and

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Speaker 10: Trump events in Washington, d C. Typically we do almost

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Speaker 10: always get some kind of Antifa counter protest, counter response.

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Speaker 10: But it was always very interesting to me that there

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Speaker 10: weren't any public or outward signs of Antifa anywhere at

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Speaker 10: January six No.

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Speaker 2: Well, I mean, look, it's not actually that difficult to

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Speaker 2: dress up as a Trump supporter, is it. You don

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Speaker 2: the maga hat. You put a Maga hat on, you're

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Speaker 2: a Trump supporter, and so it's not like it's an

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Speaker 2: elaborate disguise. Isn't required actually to blend in. And I

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Speaker 2: do seem to remember that there were people talking on

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Speaker 2: Reddit about, you know, going to the Capitol and causing

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Speaker 2: trouble and that's right.

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Speaker 10: Wasn't there a wasn't there a bit it was like

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Speaker 10: wear your hat backwards or wear it upside down or

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Speaker 10: something like that.

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Speaker 6: That was going to be a thing.

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Speaker 2: Yes, yes, there was, so I mean, yeah, I mean

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Speaker 2: I think it's it stands to who it stands to

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Speaker 2: reason that you know, there probably were leftist agitatus there.

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Speaker 2: It's a great way, it's a great way to you know,

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Speaker 2: to to generate negative publicity. It's a great way to

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Speaker 2: discredit people is to associate them with political violence. And

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Speaker 2: it doesn't take much to infiltrator, you know, a Maga

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Speaker 2: rally just by wearing a Maga hat. And this is

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Speaker 2: what this is what leftists do. This is what left is.

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Speaker 10: And by the way, in fact, we should what I

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Speaker 10: had one of the questions, and I wasn't at the

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Speaker 10: press conference today, but you know, if I were, I

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Speaker 10: would love to know whether or not they had identified

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Speaker 10: did this individual? And is there any evidence that he

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Speaker 10: ate think because this was done late in the evening

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Speaker 10: of January fifth, so is there any evidence that he

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Speaker 10: himself went and then participated in the march at all

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Speaker 10: on January sixth? What was he up to the day

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Speaker 10: after when presumably he was expecting either these bombs number

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Speaker 10: one to go off or number two to be used

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Speaker 10: as sort of distraction. And there are some questions about

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Speaker 10: how exactly these phone calls and the identification of them

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Speaker 10: came in. But let's take it out more broadly here,

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Speaker 10: because there is a problem in this country, and we've

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Speaker 10: in the United States and in your country, the UK,

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Speaker 10: and really across all of the West right now of

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Speaker 10: leftist violence. That seems to be a theme that a

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Speaker 10: lot of the mainstream, despite horrific acts of violence, has

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Speaker 10: yet to actually pick up one. And it's one where

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Speaker 10: people seem to just they see one of these actions

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Speaker 10: and then they feel bad about it for a little

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Speaker 10: while and they just move on. Why is it that

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Speaker 10: we haven't really seen that narrative being taken over by

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Speaker 10: the mainstream.

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Speaker 2: Yeah, it's interesting, you know, I mean, a lot of

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Speaker 2: people still think that Charlie kirkskiller, Tyler Robinson, wasn't a leftist,

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Speaker 2: you know. I mean, there was polling done recently. I

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Speaker 2: think that showed that a very you know, a small

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Speaker 2: minority of people of Americans actually think that Charlie Kirk's

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Speaker 2: killer was a leftist, when it's obvious he was a leftist.

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Speaker 2: You know, all the evidence points to him being a leftist.

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Speaker 2: And you only need to actually look at the nature

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Speaker 2: of the crime itself and to what it's achieved, which

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Speaker 2: is to so complete chaos on the right and to

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Speaker 2: make it much much harder for the right in the

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Speaker 2: US to organize, you know, I mean it's impossible really

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Speaker 2: to over emphasize just how important Charlie Kirk was to

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Speaker 2: the future of populism, to the future of the right

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Speaker 2: in America. I mean, he was a star. He was

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Speaker 2: going to be working for, you know, twenty thirty more years,

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Speaker 2: you know, with this unparalleled network that he'd created, with

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Speaker 2: his personal charisma, with his drive and dedication and sense

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Speaker 2: of mission. And they killed him, and it's thrown the

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Speaker 2: American right into into chaos, into infighting. And that's exactly

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Speaker 2: what you do. You know, if you're committed to political violence,

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Speaker 2: as the left is. That's what you do. You target

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Speaker 2: the major figures, you target the key players. You know,

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Speaker 2: you assassinate them. You degrade your opponent's capability to organize.

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Speaker 2: So it stands to rights that a leftist would you know,

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Speaker 2: this is what a leftist would do. And then we

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Speaker 2: have all this information about Tyler Robinson's trans boyfriend girlfriend,

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Speaker 2: his furry obsession, the kind of things that he's looking

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Speaker 2: at on the Internet, the kind of person he just

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Speaker 2: seems to be. And yet, for some strange reason, despite

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Speaker 2: all the other acts of leftist terrorism that we are

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Speaker 2: witnessing as well, and that actually have been forgotten. So,

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Speaker 2: you know, I harp on about something that happened in

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Speaker 2: February quite a lot. This chap called Ryan Michael, English

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Speaker 2: transgender male, tried to kill the Treasury Secretary Scott Bessend.

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Speaker 2: He went to the He went to the Capitol with

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Speaker 2: Molotov cocktails. He had a manifesto, he set or writings

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Speaker 2: in his possession, and he said that he wanted to

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Speaker 2: to kill Scott Besson. He wanted to burn down the

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Speaker 2: Heritage Foundation. He had a long list of conservative right

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Speaker 2: wing Trump targets and that's just been completely forgotten. And

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Speaker 2: I find it very strange actually that people aren't joining

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Speaker 2: the dots here because there's a very clear pattern that's emerged.

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Speaker 2: It's exactly the pattern you would expect. This isn't surprising,

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Speaker 2: but nonetheless, only a minority of people really seem to

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Speaker 2: understand the nature of the situation that America is in

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Speaker 2: right now.

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Speaker 6: And it's quite strange.

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Speaker 10: And I wonder why as well this exists because it

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Speaker 10: seems that there is an issue of scale, I suppose,

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Speaker 10: But there's something that there's a piece that you wrote

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Speaker 10: before about what it is, specifically about the trans movement.

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Speaker 10: He wrote this for Human Events dot Com and trans

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Speaker 10: Individuals where they view the things that Charlie was saying,

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Speaker 10: the things that Trump is doing to ban and get

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Speaker 10: rid of trans specifically, it's the bans on child gender manipulation,

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Speaker 10: this gender surgery that you've viewed as an actual precursor

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Speaker 10: and a catalyst to violent action.

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Speaker 2: Yes, well, I think what you have to understand is

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Speaker 2: that every kind of society, every kind of social grouping,

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Speaker 2: wants to reproduce itself. Right. The normal way for people

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Speaker 2: to reproduce is biologically is through having sex and having children.

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Speaker 2: But that isn't how the trans movement. That isn't how

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Speaker 2: the trans grouping reproduces itself. Transgender people reproduce themselves through

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Speaker 2: gender reassignment surgery and taking hormones. Right, That's how you

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Speaker 2: get more trans people. That's how you continue the trans

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Speaker 2: movement is you get people to have surgery, you get

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Speaker 2: people to have medical interventions. And so what's happening is

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Speaker 2: Trump is banning or placing a moratorium on these on

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Speaker 2: these medical procedures, and suddenly it means you don't get

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Speaker 2: more trans people, or you certainly don't get more trans

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Speaker 2: children and trans teenagers. So I think you have to

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Speaker 2: understand that, you know, transgender people are already heavily, heavily radicalized.

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Speaker 2: They're they're among probably the most radical leftists. And now

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Speaker 2: what you've got is you've got the Trump administration taking

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Speaker 2: away their means of reproduction. So it's an existential crisis

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Speaker 2: for them. It is actually an existential threat. And so

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Speaker 2: that's why these people are I think the most dangerous

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Speaker 2: of the radical leftists in America today because they're actually

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Speaker 2: they feel they are facing an existential threat. And you know,

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Speaker 2: they say trans people are being murdered by Nazis, and

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Speaker 2: what they actually.

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Speaker 10: Mean they talk about the transgenocide that's going on that

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Speaker 10: no one can seem to point to or find or see.

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Speaker 2: And it's not that it's not that transgender people are

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Speaker 2: being killed, it's that transgender people are being prevented from

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Speaker 2: coming into existence because they can't have these radical surgeries.

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Speaker 2: And so, you know, I said at the beginning, you know,

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Speaker 2: the beginning of the Trump administration, we've this is the

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Speaker 2: this is the demographic that we need to watch. This

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Speaker 2: is where the real the hardcore killers, the kind of

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Speaker 2: leftist jihadis are going to come from, because they're the

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Speaker 2: ones who have the most to lose from the trumpagenda.

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Speaker 6: Well, and the instability that's inherent there, which is something

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Speaker 6: and I've said it again and again that if you

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Speaker 6: go back to the great horror writers and horror the

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Speaker 6: movies even used to understand this silence of the lambs,

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Speaker 6: who is the killer? But who is Buffalo Bill? Buffalo

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Speaker 6: Bill is trans.

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Speaker 10: He's trying to make a literally change his skin to

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Speaker 10: that of a woman, and that is why he is

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Speaker 10: killing women. That's why you're putting the lotion on the

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Speaker 10: skin right, and cut your skin off and wear it

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Speaker 10: as a skin suit. Psycho Norman bates the dead Mother,

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Speaker 10: where he then tries to turn himself into his mother again.

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Speaker 10: This trope has been around for years and years because

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Speaker 10: there's something about the psychology there that is inherently lethal

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Speaker 10: and inherently brutal. The rejection of self, the rejection of reality.

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Speaker 10: Right back, Jack Sobic raw Egg bastionists.

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Speaker 2: Talk afluences.

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Speaker 4: These are influences and their friends and mine Jack, Jack's

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Speaker 4: break down.

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Speaker 10: All right, Jack Posibic, we are back live human events daily.

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Speaker 6: We're digging in more and more as we learn.

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Speaker 10: About the potential this this new arrest regarding the January

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Speaker 10: sixth pipe bomber, after almost five total years in one month,

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Speaker 10: it will be five years from that January sixth. Folks

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Speaker 10: want to tell you about our new.

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Speaker 6: Partner because this Christmas. Let me tell you something right now.

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Speaker 10: This is something very important and as we're talking about

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00:22:15,400 --> 00:22:17,200
Speaker 10: physical security, this is key.

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Speaker 6: If you use.

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Speaker 10: Gmail, Chat, gpt, at and T door, Dash or Comcast,

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00:22:22,119 --> 00:22:24,960
Speaker 10: you are now at a critically elevated risk level.

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Speaker 6: What does that mean.

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Speaker 10: Well, in just the last few months, there have been

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Speaker 10: confirmed major security breaches at each of these companies. The

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00:22:31,680 --> 00:22:35,200
Speaker 10: leaks expose names, emails, addresses, phone numbers, and behavioral patterns

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Speaker 10: that scammers rely to target you. Data brokers publish detailed

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Speaker 10: profiles on every single American adult. Your home, your family,

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Speaker 10: your habits, your age, your income, your online footprint, everything

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Speaker 10: scammers need to calculate whether you are a profitable target.

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Speaker 6: Don't believe it. Google your name and address.

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Speaker 10: You will see hundreds of websites publishing the intimate details

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Speaker 10: of your life.

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Speaker 6: That is, unless you use Patriot Protect.

401
00:22:59,040 --> 00:23:01,560
Speaker 10: Patriot Protect removed was your personal data from the Internet,

402
00:23:01,640 --> 00:23:05,200
Speaker 10: wiping it from Google into every major site where scammers,

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00:23:05,280 --> 00:23:07,600
Speaker 10: cyber criminals, and stalkers hunt for victims.

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00:23:07,880 --> 00:23:10,199
Speaker 6: You never agreed to share this info. Now you can

405
00:23:10,240 --> 00:23:10,840
Speaker 6: take it back.

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00:23:11,119 --> 00:23:14,040
Speaker 10: Patriot Protects scans and deletes your personal information from one

407
00:23:14,119 --> 00:23:17,439
Speaker 10: hundred plus people search engines, and data brokers. These are

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00:23:17,520 --> 00:23:20,359
Speaker 10: the exact sites that scammers use to case you before

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00:23:20,359 --> 00:23:23,879
Speaker 10: they strike. Once your profile is eliminated, their surgeon destroyed

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00:23:23,920 --> 00:23:28,080
Speaker 10: protocol runs continuous monitoring, so every new exposure is detected

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00:23:28,119 --> 00:23:29,240
Speaker 10: and wiped immediately.

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00:23:29,440 --> 00:23:30,120
Speaker 6: It's a peace of.

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00:23:30,080 --> 00:23:32,280
Speaker 10: Mind from having your own security team, all for the

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00:23:32,320 --> 00:23:34,600
Speaker 10: cost of keeping your portslits on, because the only thing

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00:23:34,640 --> 00:23:37,159
Speaker 10: worse this Christmas than getting hacked is knowing that you

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00:23:37,200 --> 00:23:40,359
Speaker 10: could have stopped it. Promo code posts will get you

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Speaker 10: fifteen percent off the yearly subscription.

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Speaker 6: And I'll just point it out. When my family was.

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Speaker 10: Swatted, it was at Christmas time, multiple times, right at Christmas.

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Speaker 10: This is exactly when they struck. So patriot dash protect

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Speaker 10: dot com slash.

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Speaker 6: Oh.

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Speaker 10: So, okay, we're back on with doctor Charles cornish Dale,

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Speaker 10: aka a the Raw Egg Nationalist. He has a new

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Speaker 10: book out that's very interesting because we're talking about so

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Speaker 10: let's go back to Tyler Robinson, right, someone who is

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Speaker 10: a committed leftist, someone who is in a homosexual relationship

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Speaker 10: with a man that was transitioning, someone who was a

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Speaker 10: furry and.

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Speaker 6: Doctor Charles Cornishdale, Doctor Cornisdale, is.

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Speaker 10: There any type of name that you would ascribe to

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Speaker 10: this sort of man that would do something like that.

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Speaker 2: Yeah, well, I mean I would imagine he is a

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Speaker 2: low testosterone individual, certainly.

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Speaker 6: And you ask me, one of the last men.

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Speaker 2: Yeah, one of the last men. Indeed, one of the

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Speaker 2: last men of the title of the book, which is

438
00:24:46,840 --> 00:24:49,760
Speaker 2: the Last Men Liberalism and the Death of masculinity. You

439
00:24:49,800 --> 00:24:52,640
Speaker 2: know who is the last man? Well, the last man

440
00:24:52,720 --> 00:24:56,000
Speaker 2: is a character taken from the philosophy of Friedrich Nietzsche,

441
00:24:56,480 --> 00:25:00,399
Speaker 2: popularized much more widely by Francis Fukuyama in his End

442
00:25:00,400 --> 00:25:04,800
Speaker 2: of History thesis and in my book, Then the last

443
00:25:04,880 --> 00:25:09,800
Speaker 2: man is this kind of archetypal modern man who has

444
00:25:09,920 --> 00:25:15,520
Speaker 2: low testosterone, who is probably left wing rather than right wing.

445
00:25:15,640 --> 00:25:17,560
Speaker 2: And you know, a big part of the book actually

446
00:25:17,600 --> 00:25:22,520
Speaker 2: is talking about how testosterone is associated with political affiliation.

447
00:25:22,760 --> 00:25:26,400
Speaker 2: There are studies, there are lots of studies in social psychology,

448
00:25:26,400 --> 00:25:31,120
Speaker 2: for example, that suggest that men with higher testosterone have

449
00:25:31,560 --> 00:25:35,080
Speaker 2: greater in group preference for example. So in group preference

450
00:25:35,160 --> 00:25:37,920
Speaker 2: is basically, let's say, a preference for your own tribe.

451
00:25:38,320 --> 00:25:42,679
Speaker 2: So the kind of civilizational collapse that we're seeing in

452
00:25:42,720 --> 00:25:47,640
Speaker 2: testosterone levels across the Western world really probably does have

453
00:25:48,960 --> 00:25:52,720
Speaker 2: aggregate political effects. And one of those aggregate political effects

454
00:25:52,720 --> 00:25:56,359
Speaker 2: maybe to drive people, especially men, towards the left or

455
00:25:56,400 --> 00:25:59,680
Speaker 2: certainly away from the right, away from trusting what would

456
00:25:59,680 --> 00:26:03,240
Speaker 2: be then natural instincts that would be fostered by testosterone,

457
00:26:03,240 --> 00:26:08,040
Speaker 2: which would be to be patriotic, to show in group preference,

458
00:26:09,000 --> 00:26:14,320
Speaker 2: to accept hierarchy, That's another thing that's associated with testosterone

459
00:26:14,359 --> 00:26:19,600
Speaker 2: is hierarchy. So hormones are political. It doesn't really get

460
00:26:19,680 --> 00:26:22,160
Speaker 2: said enough, and that's something that I'm trying to correct

461
00:26:22,200 --> 00:26:23,880
Speaker 2: in the book. I'm trying to say, well in.

462
00:26:25,480 --> 00:26:27,399
Speaker 10: Just just to throw out a piece of information that

463
00:26:27,480 --> 00:26:29,840
Speaker 10: might back this up. In some of the leaked information

464
00:26:29,960 --> 00:26:32,680
Speaker 10: that's come out on this relationship that Tyler Robinson was

465
00:26:32,720 --> 00:26:37,040
Speaker 10: in with his gay lover Lance Twigs, was that one

466
00:26:37,080 --> 00:26:40,800
Speaker 10: of the former friends, former roommates of them, had mentioned

467
00:26:40,840 --> 00:26:45,359
Speaker 10: that Twiggs was taking something called black market HRT or

468
00:26:45,600 --> 00:26:48,879
Speaker 10: black market hormone replacement therapy. And there's a variety of

469
00:26:49,200 --> 00:26:52,760
Speaker 10: Chinese examples of this that I've dug into another certainly

470
00:26:52,840 --> 00:26:56,160
Speaker 10: not that I've drived myself, but that are apparently very

471
00:26:56,240 --> 00:27:01,000
Speaker 10: easy to procure online. And they do justribe his downward

472
00:27:01,040 --> 00:27:04,159
Speaker 10: spiral as associating with a rise in the more he

473
00:27:04,240 --> 00:27:06,720
Speaker 10: took seem the more he took these things, the more

474
00:27:06,840 --> 00:27:07,840
Speaker 10: leftist he became.

475
00:27:08,520 --> 00:27:11,520
Speaker 2: Yeah, I mean that is that is totally believable. And

476
00:27:12,040 --> 00:27:15,960
Speaker 2: you know, I was talking about this this how transgender

477
00:27:16,000 --> 00:27:19,479
Speaker 2: people reproduce, well, one of the ways they reproduce is

478
00:27:20,000 --> 00:27:23,639
Speaker 2: through through the use of hormones through the use of

479
00:27:23,840 --> 00:27:28,639
Speaker 2: estrogen if you're transitioning from male to female, and testosterone

480
00:27:28,680 --> 00:27:33,600
Speaker 2: if you're going the other way. And you know, radical leftists,

481
00:27:33,760 --> 00:27:39,960
Speaker 2: radical transgender people use websites like Reddit not only to

482
00:27:40,119 --> 00:27:44,240
Speaker 2: organize politically, but also actually to organize the distribution of,

483
00:27:44,440 --> 00:27:48,880
Speaker 2: like you say, these black market hormonal treatments because it's

484
00:27:49,000 --> 00:27:53,520
Speaker 2: essential for their reproduction, for people who believe their transgender

485
00:27:53,600 --> 00:27:55,639
Speaker 2: or people who've been led to believe that they're transgender

486
00:27:55,880 --> 00:28:01,440
Speaker 2: to take these hormones. And yeah, absolutely, I mean, hormonal

487
00:28:01,520 --> 00:28:07,280
Speaker 2: dysfunction is driving leftism, I believe, and it's worth mentioning

488
00:28:07,320 --> 00:28:09,159
Speaker 2: actually as well, you know, I mean, we tend to

489
00:28:09,200 --> 00:28:13,280
Speaker 2: associate aggression because of kind of pop culture pop science,

490
00:28:13,560 --> 00:28:17,840
Speaker 2: we tend to associate aggression with testosterone, but actually aggression

491
00:28:17,880 --> 00:28:22,280
Speaker 2: is also associated with estrogen. Estrogen modulates aggression in very

492
00:28:22,400 --> 00:28:25,720
Speaker 2: very interesting ways. If you give monkeys, if you give

493
00:28:25,800 --> 00:28:31,080
Speaker 2: male macaques estrogen, they will become basically in cell monkeys.

494
00:28:31,200 --> 00:28:33,440
Speaker 2: There's a very funny study about this where they gave

495
00:28:33,480 --> 00:28:37,560
Speaker 2: mail macaqus estrogen from soy and it turned them into

496
00:28:38,040 --> 00:28:41,560
Speaker 2: basically passive, aggressive, kind of inell monkeys. They would retreat

497
00:28:41,600 --> 00:28:45,800
Speaker 2: from their fellow monkeys in the troop and become more aggressive,

498
00:28:45,920 --> 00:28:49,960
Speaker 2: more kind of bitchy. So it's it's wrong, I think

499
00:28:50,000 --> 00:28:51,760
Speaker 2: to think that, you know, just because these if these

500
00:28:51,760 --> 00:28:53,280
Speaker 2: people are taking estrogen, they don't.

501
00:28:53,640 --> 00:28:56,560
Speaker 10: It's a different type of aggression. It's more of this

502
00:28:57,080 --> 00:28:58,880
Speaker 10: angry like swing.

503
00:28:59,240 --> 00:29:01,320
Speaker 6: Aggression kind of keeping Doctor Cornsdale.

504
00:29:01,440 --> 00:29:03,920
Speaker 10: I'd love to chat more. We're just out of time.

505
00:29:04,320 --> 00:29:05,920
Speaker 10: Show us the book again, tell us where to get it.

506
00:29:06,360 --> 00:29:09,400
Speaker 2: Yeah, The Last Men, Liberalism and the Death of Masculinity.

507
00:29:09,560 --> 00:29:12,680
Speaker 2: It's available for pre order from Amazon dot Com right

508
00:29:12,720 --> 00:29:18,120
Speaker 2: now in hardback and audiobook format, releasing December the sixteenth.

509
00:29:18,200 --> 00:29:21,640
Speaker 10: I know what I'm reading this Christmas, Doctor Carnestone. Charles Cornishdale.

510
00:29:21,720 --> 00:29:23,440
Speaker 10: It is great to see you here in the Human

511
00:29:23,480 --> 00:29:26,440
Speaker 10: Events studio. Right back with an official from the department

512
00:29:26,440 --> 00:29:27,040
Speaker 10: from Medscreen.

513
00:29:31,360 --> 00:29:32,120
Speaker 1: This is Jack.

514
00:29:33,680 --> 00:29:34,480
Speaker 7: Where's Jack?

515
00:29:35,960 --> 00:29:36,480
Speaker 1: Where is he?

516
00:29:37,200 --> 00:29:37,440
Speaker 7: Jack?

517
00:29:37,520 --> 00:29:38,280
Speaker 4: I want to see you.

518
00:29:40,840 --> 00:29:42,680
Speaker 1: Great job, Jack, Thank you.

519
00:29:42,880 --> 00:29:44,280
Speaker 7: What a job you do.

520
00:29:44,280 --> 00:29:45,479
Speaker 3: You know, we have an incredible thing.

521
00:29:45,600 --> 00:29:47,440
Speaker 2: We're always talking about the fake news and.

522
00:29:47,440 --> 00:29:50,120
Speaker 4: The bed, but we have guys, and these are the

523
00:29:50,160 --> 00:29:51,840
Speaker 4: guys should be getting publishers.

524
00:29:53,480 --> 00:29:56,840
Speaker 10: All right, Jack Recovick, back live here. Human Events Daily,

525
00:29:57,000 --> 00:30:01,320
Speaker 10: Real America's voice, folks. This Christmas, you gotta give the

526
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527
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529
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Speaker 10: out all month long. When you buy an emergency food kit,

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531
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535
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Speaker 10: anyone who needs a little nudge in that right direction.

536
00:30:33,200 --> 00:30:35,800
Speaker 10: These days, it just makes sense to have some food

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Speaker 10: stored away for emergencies. And with this buy one Gift

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Speaker 10: to Christmas deal, you're not only getting yourself prepared, you're

539
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Speaker 10: also getting unique and meaningful Christmas gifts for your friends

540
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Speaker 10: or family, and they are free. So head over to

541
00:30:47,840 --> 00:30:51,320
Speaker 10: my Patriots Apply dot com slash jack and grab yours today.

542
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Speaker 10: The offer is only around this holiday season, so go

543
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Speaker 10: to my Patriots Apply dot com slash jack. Now, that's

544
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Speaker 10: my Patriots Apply dot com slash jack.

545
00:31:00,080 --> 00:31:00,880
Speaker 6: This Christmas.

546
00:31:01,000 --> 00:31:05,240
Speaker 10: We're excited to have now, The Assistant Secretary of Homeland Security,

547
00:31:05,520 --> 00:31:07,160
Speaker 10: Chris McLaughlin joins us Trisia.

548
00:31:07,160 --> 00:31:09,000
Speaker 6: How are you, hey, Jack?

549
00:31:09,040 --> 00:31:09,400
Speaker 7: I'm great.

550
00:31:09,400 --> 00:31:11,960
Speaker 6: How are you doing well? Now?

551
00:31:12,160 --> 00:31:15,640
Speaker 10: Obviously I know we just saw the DOJ's press conference

552
00:31:15,680 --> 00:31:20,960
Speaker 10: there regarding the capture of the suspected pipe bomber. Wanted

553
00:31:20,960 --> 00:31:23,840
Speaker 10: to ask from your perspective on the DHS side, did

554
00:31:23,920 --> 00:31:26,960
Speaker 10: because the Secret Service falls under your purview, are you

555
00:31:27,000 --> 00:31:28,920
Speaker 10: able to tell us that DHS played a role in

556
00:31:28,960 --> 00:31:29,760
Speaker 10: this investigation?

557
00:31:30,920 --> 00:31:35,640
Speaker 11: Homeland Security Investigations did play some role, but I have

558
00:31:35,720 --> 00:31:38,960
Speaker 11: to give full credit to Cash Betel and Attorney General

559
00:31:39,080 --> 00:31:39,680
Speaker 11: Pam Bondi.

560
00:31:39,800 --> 00:31:41,200
Speaker 7: They really led.

561
00:31:41,040 --> 00:31:43,840
Speaker 11: The team in the administration on this, so they deserve

562
00:31:44,160 --> 00:31:47,400
Speaker 11: full credit. Though our Homeland Security Investigations team did lend

563
00:31:47,440 --> 00:31:48,000
Speaker 11: a hand.

564
00:31:49,320 --> 00:31:53,720
Speaker 10: Well, of course, and obviously with any federal activity in Washington,

565
00:31:53,800 --> 00:31:56,480
Speaker 10: d C. I certainly know from personal experience, there's always

566
00:31:56,480 --> 00:32:00,480
Speaker 10: a lot of overlapping footprints, especially there on Cap Hill,

567
00:32:00,520 --> 00:32:03,880
Speaker 10: where every agency kind of has you know, quasi jurisdiction.

568
00:32:03,960 --> 00:32:06,360
Speaker 10: It almost goes seat by seed. And of course, just

569
00:32:06,400 --> 00:32:10,280
Speaker 10: the way investigations run, different different sources might be in

570
00:32:10,360 --> 00:32:13,080
Speaker 10: one database that pairs up with another database, and so

571
00:32:13,120 --> 00:32:15,440
Speaker 10: it's good to hear by the way that it sounds

572
00:32:15,480 --> 00:32:18,360
Speaker 10: like the different agencies are are communicating and using that

573
00:32:18,400 --> 00:32:21,680
Speaker 10: interagency process, which perhaps may have been one of the

574
00:32:21,680 --> 00:32:25,040
Speaker 10: things that held up this investigation prior to prior to

575
00:32:25,080 --> 00:32:25,480
Speaker 10: this arrest.

576
00:32:26,360 --> 00:32:29,239
Speaker 11: Jack, You're completely correct, and I will say, when we

577
00:32:29,280 --> 00:32:32,480
Speaker 11: came into this administration on January twentieth, we were saying

578
00:32:32,520 --> 00:32:35,680
Speaker 11: that all of our intelligence agencies and offices were really

579
00:32:35,720 --> 00:32:39,440
Speaker 11: operating in silos. There was little to no information sharing.

580
00:32:39,520 --> 00:32:41,840
Speaker 11: We were seeing that there was tons of gaps of

581
00:32:41,880 --> 00:32:45,280
Speaker 11: information and so President Trump, I mean, he brought his

582
00:32:45,400 --> 00:32:49,080
Speaker 11: cabinet together and really ordered that those silos be broken down.

583
00:32:49,120 --> 00:32:53,440
Speaker 11: And we've had unbelievable amounts of information sharing, especially on

584
00:32:53,480 --> 00:32:57,959
Speaker 11: the immigration front when we're dealing with especially financial fraud.

585
00:32:58,600 --> 00:33:03,360
Speaker 11: Treasury Secretary Scott has been absolutely phenomenal. The IRS has

586
00:33:03,440 --> 00:33:05,960
Speaker 11: been involved, and so it really has been a whole

587
00:33:06,040 --> 00:33:10,480
Speaker 11: of government approach. I can't speak about a recent operation

588
00:33:10,640 --> 00:33:14,240
Speaker 11: out of Virginia though that Homely and Security investigations, the

589
00:33:14,400 --> 00:33:17,600
Speaker 11: FBI and we really had a whole of government approach.

590
00:33:17,640 --> 00:33:21,280
Speaker 11: And was this individual He's an Afghan national and he

591
00:33:21,320 --> 00:33:25,000
Speaker 11: came in under Biden's operation allies welcome. In September of

592
00:33:25,040 --> 00:33:28,360
Speaker 11: twenty twenty one, turns out he's a member of isis K.

593
00:33:28,800 --> 00:33:31,640
Speaker 11: He's a terrorist, his father was a commander of a

594
00:33:31,720 --> 00:33:35,000
Speaker 11: militia and Afghanistan. And yet this individual was allowed into

595
00:33:35,040 --> 00:33:38,560
Speaker 11: our country, he was giving temporary protected status. He was

596
00:33:39,000 --> 00:33:42,320
Speaker 11: arrested yesterday and will no longer be able to terrorize

597
00:33:42,400 --> 00:33:46,120
Speaker 11: the people of America. He will face justice. And so

598
00:33:46,160 --> 00:33:49,000
Speaker 11: we're really proud of that as an administration because it

599
00:33:49,040 --> 00:33:51,360
Speaker 11: really was a whole of government approach and we're going

600
00:33:51,440 --> 00:33:53,440
Speaker 11: to get more of these guys out of this country.

601
00:33:54,800 --> 00:33:56,640
Speaker 10: Well, that's right in isis K, of course, being the

602
00:33:56,680 --> 00:34:02,040
Speaker 10: ISIS affiliate primarily associated with Afghanistan and those Central Asian countries,

603
00:34:02,120 --> 00:34:07,280
Speaker 10: some of the former Soviet countries up there and ituz Bekistan, Tajikistan,

604
00:34:07,320 --> 00:34:10,200
Speaker 10: et cetera. But then also into Afghanistan as well. They've

605
00:34:10,200 --> 00:34:12,080
Speaker 10: been trying to get into the United States for quite

606
00:34:12,080 --> 00:34:14,560
Speaker 10: some time. But you know, just just cutting back to

607
00:34:15,040 --> 00:34:17,839
Speaker 10: you know what you mentioned about the information silos. That

608
00:34:18,080 --> 00:34:20,360
Speaker 10: was what always made me bang my head against the

609
00:34:20,360 --> 00:34:23,600
Speaker 10: wall so much when I was in the intelligence community,

610
00:34:23,760 --> 00:34:26,360
Speaker 10: that we'd be working on a problem set and I

611
00:34:26,360 --> 00:34:28,719
Speaker 10: would need a piece of information because I'm you know,

612
00:34:28,760 --> 00:34:31,279
Speaker 10: it's it's it's like looking at a puzzle but you

613
00:34:31,360 --> 00:34:34,799
Speaker 10: know you're missing a few pieces and then having a

614
00:34:34,960 --> 00:34:38,160
Speaker 10: very good idea that you know. It's like my I know,

615
00:34:38,239 --> 00:34:40,279
Speaker 10: my five year old stole that piece and he hid

616
00:34:40,280 --> 00:34:42,200
Speaker 10: it somewhere, and I want to get it from him,

617
00:34:42,200 --> 00:34:44,360
Speaker 10: and I keep asking him where he is, and he

618
00:34:44,520 --> 00:34:47,560
Speaker 10: keeps telling me either that he doesn't have that piece

619
00:34:47,840 --> 00:34:50,480
Speaker 10: or he doesn't know where it is. And ultimately it

620
00:34:50,480 --> 00:34:54,320
Speaker 10: would be because people didn't want to share, and because

621
00:34:54,719 --> 00:34:57,600
Speaker 10: people in Washington, d C. Particularly in the intelligence community

622
00:34:57,600 --> 00:35:00,600
Speaker 10: and the national security agencies, they use this try to

623
00:35:01,920 --> 00:35:04,920
Speaker 10: burnish their power to keep their fiftoms going. And you

624
00:35:04,960 --> 00:35:07,520
Speaker 10: see a lot of this in the inner agency where

625
00:35:08,000 --> 00:35:11,080
Speaker 10: certain I'm not going to name any agencies, but certain

626
00:35:11,160 --> 00:35:15,319
Speaker 10: agencies that are around like to kind of bigfoot other

627
00:35:15,400 --> 00:35:18,360
Speaker 10: agencies and play these games. They just play games, and

628
00:35:18,440 --> 00:35:22,120
Speaker 10: ultimately who suffers are the American people and our national security.

629
00:35:23,000 --> 00:35:26,160
Speaker 11: You're completely correct, and it really is amazing. As kind

630
00:35:26,160 --> 00:35:27,960
Speaker 11: of more of an outsider, I was in the first

631
00:35:28,000 --> 00:35:31,960
Speaker 11: Trump administration, but I'm not a government bureaucrat. So coming

632
00:35:32,000 --> 00:35:36,080
Speaker 11: back into the administration under President Trump and seeing how

633
00:35:36,120 --> 00:35:39,239
Speaker 11: it operates in the intelligence silos. The fact of the

634
00:35:39,280 --> 00:35:41,560
Speaker 11: matter is it's turf wars. People don't want to give

635
00:35:41,600 --> 00:35:45,160
Speaker 11: credit where credits to. People don't want to give information

636
00:35:45,239 --> 00:35:49,000
Speaker 11: that would advance investigations that would help our national security

637
00:35:49,040 --> 00:35:52,759
Speaker 11: because perhaps themselves of their boss won't get credit, it

638
00:35:52,760 --> 00:35:55,120
Speaker 11: won't go to their particular agency.

639
00:35:55,200 --> 00:35:57,600
Speaker 7: I think within these really.

640
00:35:57,400 --> 00:36:02,319
Speaker 11: Bureaucratic systems that people forget that they're actually serving our nation,

641
00:36:02,600 --> 00:36:05,000
Speaker 11: our homeland, and that's their ultimate goal is to serve

642
00:36:05,040 --> 00:36:08,080
Speaker 11: the American people. I don't know how that gets lost,

643
00:36:08,840 --> 00:36:11,600
Speaker 11: but it certainly does. And I think President Trump has

644
00:36:11,680 --> 00:36:15,880
Speaker 11: done a phenomenal job of bringing back the American people

645
00:36:16,160 --> 00:36:18,440
Speaker 11: into the fore focus, which is exactly what it should be.

646
00:36:19,640 --> 00:36:20,480
Speaker 6: I couldn't agree more.

647
00:36:20,480 --> 00:36:24,320
Speaker 10: And that's when I hear the Attorney General saying that, hey,

648
00:36:23,200 --> 00:36:27,560
Speaker 10: this information was collecting dust on the shelf, It just

649
00:36:27,600 --> 00:36:32,120
Speaker 10: makes me think, what other pieces of information, what documents

650
00:36:32,280 --> 00:36:34,960
Speaker 10: are sitting collecting dust on the shelf about people that

651
00:36:35,000 --> 00:36:37,480
Speaker 10: we don't even know about, people who, by the way,

652
00:36:37,640 --> 00:36:40,640
Speaker 10: may have come into this country under false pretenses. Perhaps

653
00:36:40,640 --> 00:36:42,919
Speaker 10: we used to call that derogatory information or d rog

654
00:36:43,280 --> 00:36:47,160
Speaker 10: and so perhaps that information is actually out there. For example,

655
00:36:47,239 --> 00:36:50,160
Speaker 10: you know, we had this information about the radicalization of

656
00:36:50,200 --> 00:36:53,640
Speaker 10: that Afghan national that came in and then ultimately went

657
00:36:53,920 --> 00:36:57,120
Speaker 10: and conducted this horrific shooting of our National Guards right

658
00:36:57,120 --> 00:37:01,000
Speaker 10: there in Washington, d C. These were preventable. These were

659
00:37:01,000 --> 00:37:03,520
Speaker 10: preventable because they were just not vetted on their way in.

660
00:37:04,880 --> 00:37:07,360
Speaker 11: No, they weren't vetted on their way and that is

661
00:37:07,600 --> 00:37:12,040
Speaker 11: astounding to hear. It's now been within one week three

662
00:37:12,080 --> 00:37:15,600
Speaker 11: individuals who have been arrested. Unfortunately, of course, one of

663
00:37:15,600 --> 00:37:19,440
Speaker 11: those who took the live of Sarah Beckstrom, an American

664
00:37:19,440 --> 00:37:23,520
Speaker 11: hero National guardsmen. But Jack, the fact of the matter

665
00:37:23,719 --> 00:37:27,319
Speaker 11: is the Biden administration was virtually doing no vetting when

666
00:37:27,360 --> 00:37:31,640
Speaker 11: they were allowing almost two hundred thousand Afghan nationals into

667
00:37:31,680 --> 00:37:36,040
Speaker 11: this country. They were not doing biometric data vetting, they

668
00:37:36,080 --> 00:37:41,240
Speaker 11: weren't doing social media vetting. They weren't doing criminal background checks,

669
00:37:41,440 --> 00:37:44,640
Speaker 11: cyber checks, they weren't doing financial crime checks.

670
00:37:44,880 --> 00:37:46,080
Speaker 7: None of this was happening.

671
00:37:46,120 --> 00:37:50,600
Speaker 11: So Secretary Nome really had to overhaul that entire system.

672
00:37:50,640 --> 00:37:54,440
Speaker 11: When they were doing asylum interviews, they weren't checking in

673
00:37:54,760 --> 00:37:57,120
Speaker 11: on an annual basis which should have been happening, and

674
00:37:57,160 --> 00:38:00,160
Speaker 11: had that been happening. This individual, as you mentioned, was

675
00:38:00,280 --> 00:38:02,600
Speaker 11: radicalized while he was in the United States.

676
00:38:02,680 --> 00:38:06,960
Speaker 6: He might have been caught, No, absolutely might have been caught.

677
00:38:07,040 --> 00:38:09,880
Speaker 10: And those techs for coming in would certainly make sense,

678
00:38:09,920 --> 00:38:12,640
Speaker 10: because who would you want to check other than someone

679
00:38:12,800 --> 00:38:16,279
Speaker 10: who had served with the United States military, who understood,

680
00:38:16,520 --> 00:38:19,759
Speaker 10: by the way, understood our military SOPs, understood our force

681
00:38:19,840 --> 00:38:23,160
Speaker 10: protection levels, understood how we operate, understand how we communicate.

682
00:38:23,360 --> 00:38:28,919
Speaker 10: Someone who absolutely is familiar with those things so could easily, unfortunately,

683
00:38:29,320 --> 00:38:31,839
Speaker 10: know how to conduct and attack like this. And as

684
00:38:31,880 --> 00:38:34,120
Speaker 10: horrific as it was, you would think that those are

685
00:38:34,120 --> 00:38:37,040
Speaker 10: the people that the previous administration, if they were going

686
00:38:37,040 --> 00:38:39,240
Speaker 10: to let them in, would have been watching the closest,

687
00:38:39,239 --> 00:38:40,080
Speaker 10: but of course they weren't.

688
00:38:41,440 --> 00:38:45,799
Speaker 11: No, You're absolutely right, Jack, It's really horrifying, especially we

689
00:38:45,880 --> 00:38:49,560
Speaker 11: know that within the interior of our country, since the

690
00:38:49,600 --> 00:38:52,719
Speaker 11: start of the administration, we have arrested at least a

691
00:38:52,840 --> 00:38:59,040
Speaker 11: thousand known or suspected terrorists. Twenty million people came into

692
00:38:59,120 --> 00:39:01,840
Speaker 11: this country in the past four years under Joe Biden.

693
00:39:02,120 --> 00:39:05,240
Speaker 11: Of course, those one hundred and ninety thousand Afghan nationals

694
00:39:05,239 --> 00:39:08,719
Speaker 11: coming in under Operation Allies Welcome, and then the millions

695
00:39:09,120 --> 00:39:12,480
Speaker 11: of individuals who came in with little to no vetting

696
00:39:12,800 --> 00:39:16,600
Speaker 11: under these parole programs like CHNV or these temporary protected

697
00:39:16,640 --> 00:39:18,640
Speaker 11: statuses that were just absolutely exploited.

698
00:39:20,280 --> 00:39:23,160
Speaker 10: So in that case, it could be illegal or someone

699
00:39:23,160 --> 00:39:25,839
Speaker 10: who has this, you know, one of these papers that's

700
00:39:25,960 --> 00:39:26,480
Speaker 10: that's come in.

701
00:39:26,560 --> 00:39:28,239
Speaker 6: That one thousand number would include both.

702
00:39:29,960 --> 00:39:31,560
Speaker 11: Now that would just include those who are in this

703
00:39:31,600 --> 00:39:34,200
Speaker 11: country illegally. That doesn't even include.

704
00:39:33,760 --> 00:39:34,560
Speaker 7: Those who are.

705
00:39:37,200 --> 00:39:40,960
Speaker 11: Oh no, yes, And that's a huge reason why President

706
00:39:41,040 --> 00:39:43,719
Speaker 11: Trump has an instructed Secretary Nome to give him this

707
00:39:43,800 --> 00:39:47,120
Speaker 11: list of countries of which right now they're in nineteen

708
00:39:47,120 --> 00:39:51,120
Speaker 11: where we're expecting that to really expand because that vetting

709
00:39:51,239 --> 00:39:54,080
Speaker 11: was so out of control. We can't be giving out

710
00:39:54,239 --> 00:39:57,600
Speaker 11: more immigration benefits. We have to be really reviewing who's

711
00:39:57,640 --> 00:40:00,960
Speaker 11: in this country under asylum are a green book card,

712
00:40:00,960 --> 00:40:03,480
Speaker 11: because if we know that they weren't vetting, there could

713
00:40:03,520 --> 00:40:05,560
Speaker 11: be far, far more terrorist in this country.

714
00:40:05,600 --> 00:40:07,920
Speaker 10: That's exactly right, Tricia, quick quick break, because I do

715
00:40:07,960 --> 00:40:09,719
Speaker 10: want to ask you more about that when we come

716
00:40:09,760 --> 00:40:12,160
Speaker 10: back from commercial This is quite possibly one of the

717
00:40:12,200 --> 00:40:14,799
Speaker 10: most important issues facing our entire country right now.

718
00:40:14,960 --> 00:40:16,640
Speaker 6: Right back Human Events Daily.

719
00:40:33,200 --> 00:40:33,879
Speaker 1: Jack is a.

720
00:40:33,880 --> 00:40:37,040
Speaker 4: Great guy, he's written a fantastic look and everybody's talking

721
00:40:37,080 --> 00:40:37,400
Speaker 4: about it.

722
00:40:37,480 --> 00:40:38,600
Speaker 11: Go get it that.

723
00:40:38,760 --> 00:40:40,840
Speaker 4: He's been my friend right from the beginning of this

724
00:40:40,960 --> 00:40:42,200
Speaker 4: whole viewful.

725
00:40:41,840 --> 00:40:44,319
Speaker 7: Event, and we're going to turn it around and make

726
00:40:44,360 --> 00:40:45,280
Speaker 7: our way.

727
00:40:45,160 --> 00:40:45,680
Speaker 1: To get him.

728
00:40:45,840 --> 00:40:53,480
Speaker 10: All Right, Jack Pasobic, we are back live here Human

729
00:40:53,520 --> 00:40:56,800
Speaker 10: Events Daily. We're on with the Assistant Secretary of the

730
00:40:56,800 --> 00:40:58,920
Speaker 10: Department Homeland Security, Triciaan McLaughlin.

731
00:40:58,960 --> 00:41:00,000
Speaker 6: Trisha, I have to ask you.

732
00:41:00,560 --> 00:41:05,359
Speaker 10: President Trump of course made comments regarding new raids that

733
00:41:05,400 --> 00:41:10,120
Speaker 10: he's been looking to really emphasize and prioritize regarding Minneapolis,

734
00:41:10,360 --> 00:41:13,920
Speaker 10: the community up there, this fraud community. We've seen a

735
00:41:13,960 --> 00:41:17,319
Speaker 10: lot on Twitter, social media, people saying that this is

736
00:41:17,360 --> 00:41:20,480
Speaker 10: going on, that this is happening. What can you tell

737
00:41:20,600 --> 00:41:26,520
Speaker 10: us about what is happening in specifically this community in Minneapolis.

738
00:41:27,400 --> 00:41:29,720
Speaker 11: Well, I can confirm that ICE is on the ground

739
00:41:29,719 --> 00:41:36,800
Speaker 11: in Minneapolis. USCIS has been doing ongoing and really robust

740
00:41:36,920 --> 00:41:40,880
Speaker 11: investigation in particular on visa and marriage fraud. What they

741
00:41:41,000 --> 00:41:45,200
Speaker 11: found is almost half of immigration cases that they've reviewed

742
00:41:45,239 --> 00:41:48,799
Speaker 11: have had some sort of fraud or exploitation. So of

743
00:41:48,840 --> 00:41:51,120
Speaker 11: course those are going to be turned over to the

744
00:41:51,120 --> 00:41:54,600
Speaker 11: Development of Justice for charges and for arrests as far

745
00:41:54,600 --> 00:41:57,200
Speaker 11: as ice being on the ground there. I actually just

746
00:41:57,719 --> 00:42:00,600
Speaker 11: looked at a report right as I was getting into

747
00:42:00,640 --> 00:42:04,520
Speaker 11: the chair jack some really heinous arrests that were just

748
00:42:04,560 --> 00:42:06,800
Speaker 11: made in the last twenty four to forty eight hours

749
00:42:06,880 --> 00:42:10,239
Speaker 11: on the ground there in Minneapolis. We're talking about multiple

750
00:42:10,360 --> 00:42:14,759
Speaker 11: child pedophiles, people who do have terrorist ties, people who

751
00:42:14,760 --> 00:42:18,719
Speaker 11: have been involved in gang and criminal activity, and of

752
00:42:18,760 --> 00:42:22,120
Speaker 11: course the fraud and the marriage fraud that we've known

753
00:42:22,280 --> 00:42:23,359
Speaker 11: and heard about.

754
00:42:24,920 --> 00:42:28,000
Speaker 10: Well, and when you look at this community and a

755
00:42:28,080 --> 00:42:32,279
Speaker 10: number of these communities, it seems like this information was

756
00:42:32,320 --> 00:42:36,000
Speaker 10: out there, that this information was compiled, the investigators had it,

757
00:42:36,160 --> 00:42:38,960
Speaker 10: HSI had it, USCIS had it, but it just wasn't

758
00:42:39,000 --> 00:42:41,160
Speaker 10: getting acted upon. Was it the same way we just

759
00:42:41,200 --> 00:42:42,800
Speaker 10: heard from the Attorney General in this case.

760
00:42:44,040 --> 00:42:44,120
Speaker 4: No.

761
00:42:44,280 --> 00:42:46,920
Speaker 11: I think it was a problem of again the Biden

762
00:42:46,920 --> 00:42:50,359
Speaker 11: administration not enforcing the role of law, them seeing an

763
00:42:50,400 --> 00:42:54,880
Speaker 11: exploitation of the system, and often being a part of

764
00:42:54,920 --> 00:42:58,960
Speaker 11: that exploitation of the system. Tim Walls, I mean, either

765
00:42:59,000 --> 00:43:01,640
Speaker 11: he's complicit or he's an idiot. I think that he

766
00:43:01,680 --> 00:43:05,600
Speaker 11: definitely knew about this and has just been has been

767
00:43:05,600 --> 00:43:08,600
Speaker 11: in some part involved in this. The amount of money

768
00:43:08,640 --> 00:43:12,360
Speaker 11: we've seen, though, the taxpayer dollars paying for this exploitation

769
00:43:13,000 --> 00:43:15,640
Speaker 11: and really a lot of the criminal activity that we've seen.

770
00:43:15,680 --> 00:43:18,759
Speaker 11: There was just actually a report shockingly out of the

771
00:43:18,760 --> 00:43:22,279
Speaker 11: New York Times where there are these shell companies that

772
00:43:22,320 --> 00:43:26,160
Speaker 11: were created to funnel money from government agencies and what

773
00:43:26,239 --> 00:43:30,000
Speaker 11: should have been social safety nets for American citizens and

774
00:43:30,000 --> 00:43:34,240
Speaker 11: said they were being siphoned to through fraud into line

775
00:43:34,280 --> 00:43:39,239
Speaker 11: individuals pockets, primarily people who were here on visas, and

776
00:43:39,320 --> 00:43:43,000
Speaker 11: unfortunately that costs the American taxpayers over a billion dollars,

777
00:43:43,400 --> 00:43:46,200
Speaker 11: and yet we saw very few arrests under This was

778
00:43:46,280 --> 00:43:49,160
Speaker 11: happening throughout the Biden administration, and it's only now that

779
00:43:49,160 --> 00:43:52,080
Speaker 11: the Trump administration comes into office that people are actually

780
00:43:52,560 --> 00:43:55,600
Speaker 11: being charged and they're actually going to be brought to justice.

781
00:43:57,960 --> 00:44:00,600
Speaker 10: And as as crazy as this is, you know, you

782
00:44:00,640 --> 00:44:03,920
Speaker 10: look at these types of programs that were letting people

783
00:44:03,960 --> 00:44:07,319
Speaker 10: in unvetted that there's so much fraud, there's so much

784
00:44:07,400 --> 00:44:12,200
Speaker 10: their rife with corruption, and it really seems as though

785
00:44:12,239 --> 00:44:14,920
Speaker 10: these were just handouts for our country to bring in

786
00:44:14,960 --> 00:44:18,200
Speaker 10: some of the worst actors in a variety, and not

787
00:44:18,280 --> 00:44:20,719
Speaker 10: just in Minneapolis, but in many of these communities.

788
00:44:21,920 --> 00:44:22,680
Speaker 6: Obviously, Ohio.

789
00:44:22,760 --> 00:44:24,759
Speaker 10: You and I talked about that quite a bit last

790
00:44:24,800 --> 00:44:28,480
Speaker 10: year we were from and so many other of these communities.

791
00:44:28,800 --> 00:44:31,960
Speaker 10: It seems as though, to your point, you know, Tim Walls,

792
00:44:32,239 --> 00:44:36,520
Speaker 10: the governor there, Joe Biden when he was the president,

793
00:44:36,680 --> 00:44:39,879
Speaker 10: Majorcus when he was a former secretary, I don't think

794
00:44:39,920 --> 00:44:41,600
Speaker 10: that they were just looking the other way. I think

795
00:44:41,640 --> 00:44:43,440
Speaker 10: that they were and this is just my opinion. I

796
00:44:43,440 --> 00:44:45,239
Speaker 10: think that this was something that they supported in the

797
00:44:45,280 --> 00:44:47,759
Speaker 10: New York Times. It's amazing by the way that the

798
00:44:47,760 --> 00:44:50,840
Speaker 10: New York Times suddenly finds out about this fraud because

799
00:44:50,880 --> 00:44:53,640
Speaker 10: all of these cases were going on while Tim Walls

800
00:44:53,880 --> 00:44:57,399
Speaker 10: was the candidate for the vice presidency last year. We

801
00:44:57,480 --> 00:44:59,680
Speaker 10: talked about them here on this show. I had Liz

802
00:44:59,719 --> 00:45:02,400
Speaker 10: Collin from Alpha News coming on talking about it. When

803
00:45:02,440 --> 00:45:06,279
Speaker 10: we got to the fifty seventh, fifty seventh defendant, and

804
00:45:06,320 --> 00:45:08,680
Speaker 10: the fifty eighth defendant, and the fifty ninth defendant, as

805
00:45:08,680 --> 00:45:10,239
Speaker 10: it went on and on and on, and they were

806
00:45:10,440 --> 00:45:14,400
Speaker 10: bribing jurors with bags of cash, one hundred twenty thousand

807
00:45:14,480 --> 00:45:15,200
Speaker 10: dollars in cash.

808
00:45:15,480 --> 00:45:17,759
Speaker 6: Interesting how the New York Times just didn't seem to

809
00:45:17,800 --> 00:45:18,680
Speaker 6: be interested last year.

810
00:45:19,960 --> 00:45:22,000
Speaker 11: No, you're so right, and one of the most important

811
00:45:22,040 --> 00:45:26,520
Speaker 11: elections of our lifetime. They you completely willfully ignored this.

812
00:45:26,719 --> 00:45:29,360
Speaker 11: Jackie makes such a good point. But right, it's not

813
00:45:29,719 --> 00:45:33,480
Speaker 11: just out of Minneapolis. What we saw is the creation

814
00:45:33,560 --> 00:45:37,440
Speaker 11: of these parole programs that really were just a rubber

815
00:45:37,480 --> 00:45:40,279
Speaker 11: stamp to let people in. It was to control the

816
00:45:40,320 --> 00:45:46,920
Speaker 11: optics from the border. Is they created say CHNV, Cuba, Haiti, Nicaragua, Venezuela,

817
00:45:47,000 --> 00:45:49,600
Speaker 11: that really just was a rubber stamp to let these

818
00:45:49,640 --> 00:45:52,520
Speaker 11: people into the country who would have otherwise come through

819
00:45:52,560 --> 00:45:55,680
Speaker 11: the border illegally. It was an optics and political play

820
00:45:55,719 --> 00:45:58,640
Speaker 11: by the Biden administration. A friend brought it up to

821
00:45:58,680 --> 00:46:01,960
Speaker 11: me actually and said, this was really just like legalizing

822
00:46:02,040 --> 00:46:05,320
Speaker 11: murder and saying that you solved the problem of violent crime.

823
00:46:05,840 --> 00:46:07,040
Speaker 7: And he's exactly right.

824
00:46:07,600 --> 00:46:09,960
Speaker 11: So I think that this is something we first of

825
00:46:10,000 --> 00:46:12,959
Speaker 11: all stopped these programs. We also are looking at who

826
00:46:13,080 --> 00:46:16,520
Speaker 11: was let in here who hasn't left yet and getting

827
00:46:16,560 --> 00:46:17,880
Speaker 11: them the heck out of our country.

828
00:46:19,760 --> 00:46:22,600
Speaker 10: Well, it's exactly right, and you know we saw of course,

829
00:46:22,719 --> 00:46:26,359
Speaker 10: you know, I'm from Philadelphia, so I remember the You know,

830
00:46:26,760 --> 00:46:28,640
Speaker 10: what they used to do is they would claim that

831
00:46:28,719 --> 00:46:34,200
Speaker 10: murders were down because they would start scheduling or recategorizing

832
00:46:34,280 --> 00:46:37,919
Speaker 10: different things as not a homicide, this is an accidental death,

833
00:46:37,960 --> 00:46:40,640
Speaker 10: this was a suicide, or oh, this actually took place

834
00:46:40,719 --> 00:46:42,399
Speaker 10: outside the bounds of Philadelphia.

835
00:46:42,440 --> 00:46:43,600
Speaker 6: So they would play.

836
00:46:43,400 --> 00:46:46,440
Speaker 10: All these games over and over and over, and then

837
00:46:46,440 --> 00:46:48,279
Speaker 10: eventually what we also saw on the Bide administration with

838
00:46:48,320 --> 00:46:50,799
Speaker 10: the statistics that they that some of the large cities

839
00:46:50,800 --> 00:46:53,800
Speaker 10: in New York LA they weren't reporting their homicide data

840
00:46:53,840 --> 00:46:56,560
Speaker 10: to the FBI, so they could walk around and say.

841
00:46:56,440 --> 00:46:58,600
Speaker 6: Murders are down right, because you're not counting them anymore.

842
00:46:58,880 --> 00:47:01,760
Speaker 10: It's then, and it's something where it's just patently obvious

843
00:47:01,800 --> 00:47:03,640
Speaker 10: where people could see on the ground. If you're living

844
00:47:03,640 --> 00:47:06,320
Speaker 10: in Minneapolis, if you're living in one of these places, Springfield, Ohio,

845
00:47:06,400 --> 00:47:10,240
Speaker 10: any of these areas, you can see that your quality

846
00:47:10,280 --> 00:47:13,080
Speaker 10: of life has been severely diminished. And you can go

847
00:47:13,120 --> 00:47:16,040
Speaker 10: and look outside and realize that you are surrounded by

848
00:47:16,160 --> 00:47:19,160
Speaker 10: You're just being surrounded by migrants that are in the

849
00:47:19,200 --> 00:47:24,600
Speaker 10: country under some very vague pretense of being there. And

850
00:47:24,680 --> 00:47:28,240
Speaker 10: it's really as simple as that. And it doesn't surprise

851
00:47:28,280 --> 00:47:31,680
Speaker 10: me the DHS that the more you look into these

852
00:47:32,280 --> 00:47:36,239
Speaker 10: organizations and these situations, you're finding them completely rife with

853
00:47:36,320 --> 00:47:41,680
Speaker 10: fraudulent claims. You mentioned, you mentioned, so the nineteen countries

854
00:47:41,719 --> 00:47:44,440
Speaker 10: that are currently on the list you mentioned there may

855
00:47:44,480 --> 00:47:46,880
Speaker 10: be plans to expand. Can you tell us any of

856
00:47:46,920 --> 00:47:48,960
Speaker 10: the countries and if not, can you tell us what

857
00:47:49,040 --> 00:47:51,240
Speaker 10: are some of the some of the aspects and features

858
00:47:51,239 --> 00:47:54,040
Speaker 10: that you're looking for of countries that may make it

859
00:47:54,040 --> 00:47:54,600
Speaker 10: to that list.

860
00:47:56,000 --> 00:47:59,200
Speaker 11: Well, Secretary Nome gave President Trump a recommendation, I believe

861
00:47:59,239 --> 00:48:02,000
Speaker 11: it was on two Stay evening, and so he's looking

862
00:48:02,080 --> 00:48:03,960
Speaker 11: at that list and he'll be evaluating it.

863
00:48:04,000 --> 00:48:05,200
Speaker 7: But Jack, this is a.

864
00:48:05,160 --> 00:48:09,400
Speaker 11: List that was very much created with robust data and analysis.

865
00:48:09,400 --> 00:48:12,759
Speaker 11: It's first of all, looking do these governments Do these

866
00:48:12,840 --> 00:48:15,640
Speaker 11: regimes hate the United States of America? That should be

867
00:48:15,880 --> 00:48:18,360
Speaker 11: really what we first look at, because to some degree,

868
00:48:18,440 --> 00:48:21,720
Speaker 11: when individuals are coming from their country of origin to ours,

869
00:48:22,080 --> 00:48:25,480
Speaker 11: we collect information from those governments. So if you're trying

870
00:48:25,480 --> 00:48:28,440
Speaker 11: to collect information from the Taliban on and if an

871
00:48:28,440 --> 00:48:31,600
Speaker 11: individual should be coming into our country or if they

872
00:48:31,760 --> 00:48:35,480
Speaker 11: serve the American people's best entrants, we can ignore what

873
00:48:35,520 --> 00:48:39,080
Speaker 11: the Taliban says. That's exactly why President Trump has said

874
00:48:39,200 --> 00:48:42,640
Speaker 11: we need to be pausing all immigration benefits there.

875
00:48:42,440 --> 00:48:44,200
Speaker 7: So we're looking at regimes.

876
00:48:44,960 --> 00:48:48,239
Speaker 11: Is this government being run by a terrorist organization, we

877
00:48:48,360 --> 00:48:51,479
Speaker 11: can't take the risk of them letting an individual into

878
00:48:51,480 --> 00:48:54,360
Speaker 11: our country from there. And then secondly, we're really looking

879
00:48:54,400 --> 00:48:57,680
Speaker 11: at leading indicators. What's the likelihood that this individual is

880
00:48:57,719 --> 00:49:00,680
Speaker 11: going to come into our country and either engage and fraud,

881
00:49:00,960 --> 00:49:04,600
Speaker 11: criminal activity, or be a public charge. So using our

882
00:49:04,640 --> 00:49:07,720
Speaker 11: social safety net as a hammock and really not bringing

883
00:49:07,760 --> 00:49:11,759
Speaker 11: any benefit to the American people and instead really just

884
00:49:12,280 --> 00:49:16,200
Speaker 11: using American taxpayer resources that should be going to the

885
00:49:16,200 --> 00:49:17,240
Speaker 11: American citizen.

886
00:49:18,239 --> 00:49:18,719
Speaker 6: Well, that's right.

887
00:49:18,760 --> 00:49:20,480
Speaker 10: And in some of these countries, and I remember this

888
00:49:20,680 --> 00:49:23,160
Speaker 10: coming up in the first Admen as well, where you

889
00:49:23,200 --> 00:49:25,319
Speaker 10: know people are trying to come in. They don't have

890
00:49:25,600 --> 00:49:28,560
Speaker 10: good databases, they don't have biometric data, they don't have

891
00:49:29,160 --> 00:49:31,520
Speaker 10: records keeping in many of these parts of the world.

892
00:49:31,719 --> 00:49:33,920
Speaker 10: So to say, oh, we checked our databases, we couldn't

893
00:49:33,920 --> 00:49:37,279
Speaker 10: find any informations because you don't even have a database.

894
00:49:37,680 --> 00:49:39,600
Speaker 7: Yeah, it makes no sense.

895
00:49:39,600 --> 00:49:41,879
Speaker 11: That's why it really does amaze me every time I've

896
00:49:41,920 --> 00:49:46,400
Speaker 11: put on CNN or MSNBC or MSN now that there

897
00:49:46,440 --> 00:49:49,240
Speaker 11: are these talking heads on there saying all these Afghan

898
00:49:49,320 --> 00:49:52,440
Speaker 11: refugees and those who came into this country under parole

899
00:49:52,480 --> 00:49:55,440
Speaker 11: were fully vetted. I can promise you I think now,

900
00:49:55,680 --> 00:49:57,960
Speaker 11: how the heck when you see the chaos, I mean

901
00:49:58,000 --> 00:50:00,040
Speaker 11: you can see with your own eyes it's military a

902
00:50:00,760 --> 00:50:03,600
Speaker 11: just being shipped and masses into our country.

903
00:50:03,640 --> 00:50:07,960
Speaker 10: There's just no thirty seconds thirty seconds yea. By the way,

904
00:50:09,320 --> 00:50:11,080
Speaker 10: a student secretary mcluffal, I want to ask you a

905
00:50:11,120 --> 00:50:14,640
Speaker 10: quick question, yes or no? If you lie about marital

906
00:50:14,719 --> 00:50:22,080
Speaker 10: status during a naturalization process, could that be ground for denaturalization? Yes, oh,

907
00:50:22,120 --> 00:50:23,799
Speaker 10: it certainly is. Thank you so much for joining us

908
00:50:23,800 --> 00:50:26,319
Speaker 10: here on human events daily lasion. Gentlemen, as always, you

909
00:50:26,320 --> 00:50:27,600
Speaker 10: have my permission to lay shore