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Speaker 1: Well, good evening everyone, Welcome to Stinchfield, and Merry Christmas

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Speaker 1: to all of you. We begin tonight with maybe one

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Speaker 1: of the greatest gifts God could give you. That's the

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Speaker 1: gift of free will. It's also the gift of the

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Speaker 1: inalienable right to defend yourself, a right that the left

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Speaker 1: wants to take away from you. I want you to

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Speaker 1: watch this video. This happened not far up the street

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Speaker 1: from me in Plano, Texas. What you're looking at there

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Speaker 1: is a man following a young woman coming back from

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Speaker 1: the gym. That man ends up following her into the

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Speaker 1: stairwell as you will see here. And you can see

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Speaker 1: this would be frightening for anybody.

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Speaker 2: I know.

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Speaker 1: She's got a dog with her. The doges really look

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Speaker 1: like terrifying, But the man does why is he following

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Speaker 1: her up the steps? Well? Lo and behold that woman

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Speaker 1: did what I recommend every woman do, carry a firearm.

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Speaker 1: She didn't need to use it, she only needed to

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Speaker 1: show it. And look who takes off running the foreign

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Speaker 1: national that followed her into that stairwell. Well, she had

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Speaker 1: a whole ordeal of just trying to get the police

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Speaker 1: to even react to this. Before we get to that story. Though.

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Speaker 1: This is the problem with Democrats. They want to tell

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Speaker 1: you that guns are evil. That moment right there will

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Speaker 1: not be listed in any statistical book. It will not

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Speaker 1: go down as an FBI statistic as a defensive use

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Speaker 1: with a firearm. But it was not. A shot was fired.

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Speaker 1: And yet you have people like Nancy Pelosi ending the

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Speaker 1: year saying things like this, but what's been your biggest disappointment?

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Speaker 3: My disappointment always will give up on. It is guns,

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Speaker 3: A four guns, guns that children would be dying in

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Speaker 3: a classroom, that families, just the saddest thing. But it's

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Speaker 3: about two things. That politicians should think that their political

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Speaker 3: survival is more important than their survival of children.

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Speaker 1: You better believe a politician's political survival depends on the

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Speaker 1: right to keep in bare arms and whether or not

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Speaker 1: they support that. Can you imagine that young woman didn't

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Speaker 1: have the right to carry. She's defenseless against a man

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Speaker 1: twice her size. And so this is what democrats want

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Speaker 1: to do. They want to take your right away and

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Speaker 1: let good people suffer through it all while the criminals

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Speaker 1: will get the upper hand. One more just for good luck.

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Speaker 1: Representative Tim Kennedy, a Democrat, the time for action is now.

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Speaker 4: I implore this body to join me in supporting the assault

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Speaker 4: weapons band, universal background checks, stronger red flag laws, ending

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Speaker 4: gun trafficking across state lines.

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Speaker 1: You see all these buzzwords assault weapons. He's talking about

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Speaker 1: an AR fifteen. We don't need to ban those either.

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Speaker 1: What we need to do is stop bad people from

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Speaker 1: having them. And when bad people come calling with them,

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Speaker 1: there better be a good guy around or gal in

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Speaker 1: this case, with a firearm. Now back to this story

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Speaker 1: in Plano, Texas of this lunatic who followed that young

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Speaker 1: lady into the stairwell of her apartment building. I want

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Speaker 1: to bring in the woman you saw in that video.

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Speaker 1: She's an independent journalist and host of the American journal

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Speaker 1: on Info Wars. Brianna Morello is with us. Brianna, welcome

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Speaker 1: to the program, and Merry Christmas to you, Brianna for

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Speaker 1: having me. Absolutely so, why don't you take me through this?

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Speaker 1: And thank god you had a firearm by the way,

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Speaker 1: But take me through how this all went down.

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Speaker 5: Walking into my own apartment complex, which you see the

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Speaker 5: outside footage of is actually right by a police station.

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Speaker 5: That's how I was able to get the footage this

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Speaker 5: individual I did not.

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Speaker 1: Know was follow me.

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Speaker 5: Followed me for actually quite some time, not just in

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Speaker 5: that brief little video you see there, but he was

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Speaker 5: running behind me for a bit, and he followed me

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Speaker 5: to my stairwell. And when I turned around, because I

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Speaker 5: was completely caught off guard, that said might grab a

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Speaker 5: door behind me, so quickly. We use a fob to

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Speaker 5: get in and out of the buildings for residents only,

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Speaker 5: and so that was my first warning. And when I

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Speaker 5: looked behind and noticed that he happened to be Middle Eastern.

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Speaker 5: I'm someone who covers Middle Eastern men and the violence

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Speaker 5: that they commit against women all the time, and so

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Speaker 5: all the red flags went off. Now as you see

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Speaker 5: him in the stairwell with me, he's not having a

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Speaker 5: real conversation with me. He's just saying, I want to

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Speaker 5: pet your dog. Let me pet your dog. Now, he's Egyptian.

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Speaker 5: He was born according to his records, he was born

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Speaker 5: in Egypt. I don't know if he's currently an American

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Speaker 5: citizen or not, but he's asking to pet my dog.

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Speaker 5: We all know at Leastern men do not like dogs,

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Speaker 5: and so that was what caught me off guard. Now,

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Speaker 5: I quickly made my way up the staircase without trying

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Speaker 5: to make it very obvious that I was on high

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Speaker 5: alert about this man. I'm someone who's covered in Plano, Texas,

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Speaker 5: like as you know, Epic, the East Plano Islamic Center,

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Speaker 5: So I thought he was coming for me from that,

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Speaker 5: I thought it was based on my work. Turns out

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Speaker 5: he was just a random creep. And at the time

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Speaker 5: when I was running up the stairs and I got

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Speaker 5: up to the flight ahead of him, I went to

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Speaker 5: go look down. He continually was walking up the stairs,

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Speaker 5: and that's when I started reaching for my gun. I

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Speaker 5: carry on me and I've done so for the last

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Speaker 5: year and a half. I'd say thanks to my good friend,

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Speaker 5: Sadly who's deceased. Bernie Kerrick forced me, the NYPD commissioner,

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Speaker 5: forced me to take firearms classes because he knew that

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Speaker 5: I was under threats as a conservative journalist. It was

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Speaker 5: getting a lot of death threats, and he made me

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Speaker 5: go and start training. And so because of Bernie, I

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Speaker 5: do carry every single day everywhere I go, and I'm

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Speaker 5: thankful for him for doing that. But that individual ran

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Speaker 5: out of the stairwell as fast as he could once

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Speaker 5: he realized I was armed and ready to go now. Unfortunately,

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Speaker 5: police didn't take it seriously. In the police report, PLANOPD

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Speaker 5: referred to it as a flirting incident. They wouldn't hand

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Speaker 5: me the footage, will let me see the footage at all,

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Speaker 5: even though I showed them the death threats that I've received.

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Speaker 5: How the FBI is even investigating those death threats. They

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Speaker 5: refuse to take it seriously. Even pedophile groups have gone

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Speaker 5: after me over this last year, and still they didn't

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Speaker 5: take it seriously. So thank god we got the video

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Speaker 5: after I threatened to see the police department released it

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Speaker 5: online and I did the guy and he since has

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Speaker 5: been arrested and he's facing six months in prison.

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Speaker 1: All right, So it amazes me the police want to

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Speaker 1: tell you that this was a flirting incident, and especially Plano, Texas.

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Speaker 1: Before you got here, there was a horrific murder of

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Speaker 1: a young woman very similar in the parking garage in

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Speaker 1: plane home. And this can happen in any city in America.

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Speaker 1: For everybody out there. By the way, Plano, Texas probably

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Speaker 1: has the highest per capita of gun ownership of lawful

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Speaker 1: citizens in any other city, which is why the crime

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Speaker 1: rate is very low there. And this is an exact

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Speaker 1: example of why, Brienna, what happened between you and him

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Speaker 1: other than a trespassing now will not go down in

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Speaker 1: any record book as a defensive use of a firearm,

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Speaker 1: But that's exactly what it was. Did you pull it out?

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Speaker 1: Did you show it to him? Did you tell him

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Speaker 1: you were armed? What made him take off running?

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Speaker 6: Oh?

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Speaker 5: Just pulled it out. I was carrying a fanny pack

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Speaker 5: and it was coming out of my back and he

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Speaker 5: got a glimpse of it and immediately went running. He

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Speaker 5: wasn't even there. He didn't see that much of it.

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Speaker 5: I think we'll find out though, obviously at this criminal trial,

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Speaker 5: but I'm pretty sure he didn't see that much of it.

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Speaker 5: He just probably saw the handle coming out and saw

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Speaker 5: that I was getting ready to point it right at

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Speaker 5: him when he fled at that moment, and he did

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Speaker 5: turn his heads. Obviously, it didn't stay out for long.

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Speaker 5: I did run the other way after he did flee.

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Speaker 1: You know, one of the things that I'm struck by

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Speaker 1: is the work that you do is very similar to

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Speaker 1: the work that I do, and we cover these issues

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Speaker 1: all the time. You're down the street at Info Wars,

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Speaker 1: and God bless you for the work you do there.

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Speaker 1: We love that outlet and you cover all of these things.

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Speaker 1: It puts you on heightened alert. You're carrying a firearm,

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Speaker 1: you know that, and not to mention, you're probably a

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Speaker 1: target from some of these lunatics. But your message to

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Speaker 1: the everyday mom that maybe wouldn't have had a dog

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Speaker 1: walking up the steps, but maybe a three year old

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Speaker 1: walking up the steps.

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Speaker 5: Meanful, you know. But our character forced me and made

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Speaker 5: me get comfortable with carrying a handgun because he knew

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Speaker 5: that there was a lingering threat. He always compared it

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Speaker 5: to his daughters and how he wants his daughters to

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Speaker 5: feel comfortable it as well, and he wanted me just

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Speaker 5: to go out and do it. And if it wasn't

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Speaker 5: for him, I probably wouldn't have done what I did

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Speaker 5: that day. I might have actually become a victim of

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Speaker 5: a sexual assault potentially if he would have made his

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Speaker 5: way up the stairs, followed me to my apartment, and

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Speaker 5: god knows what would have happened then. On the reality

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Speaker 5: is he crossed the boundary. But the reason why he

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Speaker 5: flowed was because I was carrying a firearm. And like

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Speaker 5: you said, grants, democrats want to take this away from us.

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Speaker 5: While they pretend to be a pro for women's rights

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Speaker 5: and pretend to be advocates for women's rights, but they

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Speaker 5: don't understand the power that women have when they are

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Speaker 5: carrying a firearm, and we should be able to carry

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Speaker 5: a firearm or where we are. I'm a New Yorker

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Speaker 5: originally moved down south about sixty years when I realized

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Speaker 5: you were passing criminal dresses Reform in New York and

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Speaker 5: realized it had nothing in it for me and everything

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Speaker 5: in it for the criminals, And so I went off

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Speaker 5: and ran off to Florida. And since then I've been

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Speaker 5: on a mission to make sure I could always defend

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Speaker 5: myself in every situation.

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Speaker 1: Well, last question for you. You had the police that

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Speaker 1: didn't want to do anything about this, which is really

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Speaker 1: disturbing to me. But you said the district attorney actually

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Speaker 1: stepped in. They did a great job. That's Colin County

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Speaker 1: District attorney north of Dallas. Can you tell me about that.

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Speaker 5: Colin County took it seriously. They met with me in person,

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Speaker 5: They apologized for the wrongs that were done by PLANOPD.

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Speaker 5: In fact, we know there was wrongs done by PLANOPD

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Speaker 5: because the good folks over at Judicial Watch actually foyd

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Speaker 5: the internal communications between the officers, the chief which is

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Speaker 5: Ed Draine, and others, and they were more concerned about

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Speaker 5: my social media following online the viewcap the video is

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Speaker 5: receiving and then once they realized that we were in

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Speaker 5: the millions on that video, they then launched an investigation

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Speaker 5: and then went interviewed this man. Just also reminder to

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Speaker 5: you know, Colin County did a great job at responding

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Speaker 5: to it, but they had to wait for the police

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Speaker 5: to turn it over to them. That was the big

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Speaker 5: issue here, but thankfully they did just that. Also, since

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Speaker 5: the video got so much traction, we found out that

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Speaker 5: I wasn't the only woman. Now, although PLANOPD assured me

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Speaker 5: that originally work into filing charges against him, but they

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Speaker 5: assured me that this guy was really scared after he

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Speaker 5: saw what he thought was a gun get pulled on him,

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Speaker 5: and he was likely never going to do this to

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Speaker 5: another female again. But little did I know, a female

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Speaker 5: reached out to me and she had very similar footage.

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Speaker 5: He's been stalking her. He's visited her place of employment

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Speaker 5: five times right after what happened to me. He was

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Speaker 5: also engaged at the time, So this is a man

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Speaker 5: who's not looking to date a woman. This is a

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Speaker 5: man who's really, in my personal opinion, is looking to

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Speaker 5: cause harm.

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Speaker 1: You know, how can you be so dumb as an

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Speaker 1: investigator to think that, oh, he said he was scared,

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Speaker 1: he's never going to do it again. I don't understand

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Speaker 1: people that believe these goons and thugs he got caught

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Speaker 1: one time. My guess is most people that are doing

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Speaker 1: some kind of behavior like this have done it many times,

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Speaker 1: as you just pointed out out, and I'm just glad

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Speaker 1: you're okay. I'm glad you're carrying a firearm everywhere you go.

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Speaker 1: And thank God for social media because I understand they

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Speaker 1: wouldn't have caught this guy if it wasn't for your

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Speaker 1: large social media following and somebody pointing them out correct.

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Speaker 3: The case.

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Speaker 5: If I didn't have a social media following, I would

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Speaker 5: have nowhere else to go. And that's the reason why,

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Speaker 5: you know, I've made my email available for all victims

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Speaker 5: of crimes, because I want to make sure that if

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Speaker 5: you are not being taken seriously by law enforcement, which

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Speaker 5: you know happened to me when I was eighteen, I

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Speaker 5: tried filing a police report in New York and they

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Speaker 5: wouldn't do it.

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Speaker 7: They refused to do it.

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Speaker 5: I think that people need to learn how to be

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Speaker 5: a little bit more aggressive. Everyone needs to learn that

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Speaker 5: you could foilt things. That's the Freedom of Information Act

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Speaker 5: requests that you could submit to get documents like the

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Speaker 5: camera footage you saw. I forced them they'd even enter

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Speaker 5: that surveillance footage in as evidence and put it in

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Speaker 5: a file for me. They refused to do that. I

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Speaker 5: then had to go down to the police station and

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Speaker 5: follow up. This was dragging on for weeks and Plano

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Speaker 5: PD was an absolute failure in all of it.

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Speaker 1: And that is allegedly a conservative city. Unfortunately, they're so

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Speaker 1: concerned about their image and if somebody's gonna think, oh no,

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Speaker 1: Plaano doesn't look like it's safe, that's what this is

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Speaker 1: all about. They wanted this buried. You can't hide the truth,

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Speaker 1: not with someone like Brianna Morello or Stinsfield. Not happening.

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Speaker 1: Mary Chris is Brianna. I'm glad you're okay. Please keep

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Speaker 1: us posted on this case. Yeah all right, all right, folks.

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Speaker 1: So that's an important story because firearms ownership will save

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Speaker 1: your life and you don't even need to fire a shot.

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Speaker 1: So with that, I want to give you some good news.

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Speaker 1: Republicans are fighting, some of them anyway, for the Second Amendment.

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Speaker 1: You know, in this one big beautiful bill, the National

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Speaker 1: Firearms Act, that is a provision that basically, when you

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Speaker 1: buy a suppressor, a short barrel shotgun, certain automatic firearms

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Speaker 1: that are eligible to be purchased, you have to pay

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Speaker 1: a two hundred dollars tax. Where was that in the Constitution?

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Speaker 1: You're right to keeping bare arms should be taxed by

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Speaker 1: the United States government. Is basically a fine for buying

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Speaker 1: a gun they deem that you shouldn't own. So this

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Speaker 1: group of Republicans, a whole slew of them, wrote Pam

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Speaker 1: BONDI say, hey, the intention of the One Big Beautiful

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Speaker 1: Bill was to most certainly due away with the National

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Speaker 1: Firearms Act and the idea that you will be taxed

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Speaker 1: two hundred dollars if you buy any of these items

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Speaker 1: that fall under the provision of the NFA, That, folks,

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Speaker 1: is very good news in my mind, because it's these

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Speaker 1: little baby steps steps the chip away at the assault

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Speaker 1: on the Second Amendment that's been going on in this

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Speaker 1: country for many, many years, if not decades. All right,

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Speaker 1: up next. Kamala Harris is eyeing the White House in

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Speaker 1: twenty twenty eight. Where does she stand with Gavin news somehow,

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Speaker 1: I've got some bad news for Gavenows some two on this.

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Speaker 1: She wants to run for the White House. My lord,

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Speaker 1: welcome back everybody. So it's official, well at least it

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Speaker 1: seems official. Kamala Harris is saying she's gonna run for

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Speaker 1: the presidency in twenty twenty eight, and if you could

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Speaker 1: believe it, she has a lead over Gavin Newsom by

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Speaker 1: about eleven points. So Kamala Harris is crushing Gavin Newsom

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Speaker 1: in the race for the Democratic nomination three years out. Yes,

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Speaker 1: my guess is there'll be some surprise entrant into the race.

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Speaker 1: But is this good news for us? Look? President Trump

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Speaker 1: crushed Kamala Harris, okay, crushed her overwhelming popular vote victory,

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Speaker 1: overwhelming electoral College vote victory. But we have to be

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Speaker 1: very careful because Republicans we don't have President Trump on

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Speaker 1: the ballot. Sure we'll get Jade Vance or Marco Rubio.

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Speaker 1: Either one of those, you guys would be great, and

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Speaker 1: I do believe they are the front runners, Jade Vance

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Speaker 1: being number one. I like this guy. I got to

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Speaker 1: spend some time with him. He's a real personable guy

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Speaker 1: and I think he is the real deal. Do I

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Speaker 1: think he can be Kamala Harris? Absolutely? Will we have

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Speaker 1: the motivation to get out to the polls without a

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Speaker 1: President Trump that's bringing rallies to every state around the country,

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Speaker 1: I'm not sure. So this is my biggest concern is

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Speaker 1: voter apathy on the side of Republicans, especially for the midterms.

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Speaker 1: But when you look at Kamala Harris running for the presidency,

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Speaker 1: now here she is.

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Speaker 8: Both parties have failed to hold the public's trust. Government

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Speaker 8: is viewed. Government is viewed as fundamentally unable to meet

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Speaker 8: the needs of its people.

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Speaker 1: Well do you believe that to be true? Only government

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Speaker 1: doesn't meet my needs because it's in my freaking way.

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Speaker 1: What I want is government out of the way. What

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Speaker 1: I want is government to meet the needs of the

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Speaker 1: people by letting the people meet the needs of themselves.

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Speaker 1: But in this case, I'm frustrated with government. I'm frustrated Republicans.

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Speaker 1: I'm frustrated with Democrats. I'm frustrated with them. All. I

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Speaker 1: love individual candidates, some not all. Jd Vancemarco Rubio two

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Speaker 1: that I like, you know, when you think about Kamala

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Speaker 1: Harris running, she's already thrown a running mate under the bus.

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Speaker 1: That was Tim Walls. Tampon, Tim, this is what he

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Speaker 1: had to say recently on Meet the Press.

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Speaker 9: You still think she's the strongest person to run for

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Speaker 9: president in twenty twenty eight.

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Speaker 7: Well, I'm glad she's out there, and I'm glad a

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Speaker 7: whole lot of other people are out there because I

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Speaker 7: think Donald Trump sucks up so much oxygen. We need

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Speaker 7: to have the Democratic Party out on the field, the

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Speaker 7: broad inclusive Democratic Party talking about making life more affordable.

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Speaker 1: All right, Second, tampon, Tim, you didn't answer the question,

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Speaker 1: do you think she's the best chance at victory. He

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Speaker 1: didn't say, yes, she's the toughest candidate. He didn't say,

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Speaker 1: it's just I'm glad she's out there. Well, everybody wants

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Speaker 1: candidates out there, but I actually think her being out

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Speaker 1: there hurts the Democrats. She's not smart? Is what does

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Speaker 1: President Trump say? She's a low IQ individual? And yet

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Speaker 1: what does this say for a guy like Gavin Newsom

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Speaker 1: if he's losing to Kamala Harris by eleven points. Let's

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Speaker 1: go flashback to Kamala Harris's book Tour shall.

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Speaker 8: We That is decent, but that is a decent resume,

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Speaker 8: But go ahead there. Well, some people have actually said

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Speaker 8: I was the most qualified candidate ever to run for president.

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Speaker 1: Who's cheering that the most qualified candidate to ever run

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Speaker 1: for president? First off, President Trump ran for president after

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Speaker 1: he was president. I think far more qualified than you.

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Speaker 1: And you can go down the list about who was

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Speaker 1: qualified to be president of the United States. You were

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Speaker 1: not at the top of that list. You slept your

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Speaker 1: way to whatever position you ended up having. Kamala Harris,

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Speaker 1: I liked you.

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Speaker 10: I like this.

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Speaker 5: Some people say, very nice, but go ahead.

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Speaker 1: Yeah. See, some people say is code word for I

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Speaker 1: don't have any names. I'm just gonna say that. Some

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Speaker 1: people say, and you won't ask you the names. She

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Speaker 1: called Kamala out on the on the carpet, and that's

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Speaker 1: very important because what she just did there the host

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Speaker 1: or the interviewer is she threw a shot across the

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Speaker 1: bow that never would have happened in the first campaign.

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Speaker 1: They were trying to secure her victory. Now what you

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Speaker 1: see is a little shot across the bow trying to

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Speaker 1: chase her out of the race. We don't want you.

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Speaker 8: I'm just speaking fact.

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Speaker 1: Yeah, I'm just speaking fact about some people say, well,

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Speaker 1: can you name me one besides your mom and dad?

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Speaker 1: No you can't. Well tampon, Tim continued, here about all.

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Speaker 9: Of this, you still think she's the strongest person to

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Speaker 9: run for president in twenty twenty eight, I'll play it.

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Speaker 7: Well, I'm glad she's out there, and I'm.

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Speaker 1: Again he doesn't answer the question. That's the funniest part

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Speaker 1: of it all. So who's the option in all of

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Speaker 1: this for Democrats? Think about this. Their policies are all backwards.

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Speaker 1: Everything that Democrats do led to the high cost of everything,

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Speaker 1: crime skyrocketing. When you look at open borders, open borders

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Speaker 1: was your problem for everything. Open borders was your problem

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Speaker 1: for high housing costs. Open borders was your problem for

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Speaker 1: high health care costs. Open borders was your problems for

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Speaker 1: sinking wages. Open borders was your problem for crime rate increasing.

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Speaker 1: Open borders was the problem. The Democrats knew it. At

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Speaker 1: least those out to destroy America knew it, Ie Barack

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Speaker 1: Obama and and Joe Biden and the Clinton Gang. So

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Speaker 1: now what do you do? Every policy you have offered

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Speaker 1: up to America has failed. You're going to scream and

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Speaker 1: yell about President Trump as literally, President Trump is making

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Speaker 1: America great again. We've got the lowest gas prices we've

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Speaker 1: had in five years. Inflation is coming back down, We've

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Speaker 1: got interest rates back on the way down. We're slowly

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Speaker 1: ending foreign wars. What more do you want from this president? Yet,

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Speaker 1: to the media, to the left, it isn't good enough.

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Speaker 1: This is Gavin Newsom eleven points down to Kamala Harris.

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Speaker 1: By the way, I mean, this is nothing out there

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Speaker 1: that's happening as normal. This is not normal. This guy

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Speaker 1: is trying to wreck this country, try to light democracy

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Speaker 1: on fire.

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Speaker 11: On January sixth, we may not have a fair and

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Speaker 11: free election in this country.

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Speaker 1: I mean that if we're not successful. In twenty twenty six,

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Speaker 1: didn't the DOJ just issue a warning that California does

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Speaker 1: not have free and fair elections. They mailed the ballot

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Speaker 1: to literally every single person on the voter rolls, whether

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Speaker 1: they knew they lived there or not. There's nothing free

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Speaker 1: and fair about the elections in California. They choose who

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Speaker 1: they want to be in positions of power. How dare you,

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Speaker 1: Gavin Newsom? And look at the way he sits talk

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Speaker 1: about a beta mail? Do you want another beta mail

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Speaker 1: in the Oval office after a guy like Tampon Tim

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Speaker 1: was running for Vice president. I don't know if Joe

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Speaker 1: Biden was a beta mail, but I will tell you this,

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Speaker 1: Gavin Newsom most certainly is canning back the House of Representatives.

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Speaker 1: This guy's not screwing around, not screwing around. President Trump

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Speaker 1: is not screwing around. President Trump is literally on a mission.

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Speaker 1: He's got a quest. And it's interesting because some of

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Speaker 1: the Hollywood types now James Woods, great actor, he's been

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Speaker 1: out as a conservative for a long time now, but

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Speaker 1: he was on Fox News and he basically summed up

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Speaker 1: the problems.

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Speaker 12: The Democrats have military agent vaders that came across the

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Speaker 12: border under Joe Biden, who was saying well through his mouthpiece,

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Speaker 12: manorca is at the border is secure when this army

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Speaker 12: was coming through. Then you know, or you're a criminal,

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Speaker 12: or you're a welfare queen, then you're gonna have a

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Speaker 12: love of Gavin Newsom. If you're a dead person then

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Speaker 12: you want to vote, then you're gonna love Gavin Newsom.

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Speaker 1: If you're a dead person and you want to vote,

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Speaker 1: you love all the Democrats. Just ask the dead people

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Speaker 1: in Chicago, they love voting for Democrats, So he's right there.

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Speaker 1: So where do we stand in all of this? Well,

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Speaker 1: President Trump addressed this. Here's what we do have going

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Speaker 1: for us. We've got great candidates and a deep bench.

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Speaker 1: There's nothing embarrassing about the Republican bench. We have Hispanics

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Speaker 1: that come over to us in record numbers. We've got

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Speaker 1: black folks that have come over to us in record numbers.

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Speaker 1: And we have President Trump in charge, and he'll be

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Speaker 1: on the campaign trail. I would imagine even for the

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Speaker 1: next election for the presidency. He's not gonna slink into

434
00:22:54,960 --> 00:22:59,080
Speaker 1: the shadows. So what did President Trump say about this?

435
00:23:00,000 --> 00:23:02,399
Speaker 11: And the Democrats were Miami where you won the election

436
00:23:02,520 --> 00:23:03,120
Speaker 11: one year ago?

437
00:23:03,240 --> 00:23:06,000
Speaker 6: Do you think it's because of Hispanic media like Telemundo

438
00:23:06,240 --> 00:23:09,440
Speaker 6: that are publishing fake news about the ice operationals?

439
00:23:09,560 --> 00:23:11,679
Speaker 1: How do you plan to win back those votes for

440
00:23:11,920 --> 00:23:12,399
Speaker 1: mid tims?

441
00:23:12,480 --> 00:23:15,080
Speaker 13: Yeah, well I won that whole election, and you know

442
00:23:15,119 --> 00:23:18,960
Speaker 13: it's interesting when I'm not running, we don't do as well.

443
00:23:19,400 --> 00:23:20,960
Speaker 1: And I'm going to try and get that change for

444
00:23:21,000 --> 00:23:23,440
Speaker 1: the midterms. But we did have a big win in Tennessee.

445
00:23:23,480 --> 00:23:28,919
Speaker 1: As you know, big wins all over the place, and

446
00:23:28,960 --> 00:23:32,440
Speaker 1: President Trump is a large part of that. So look,

447
00:23:32,520 --> 00:23:34,960
Speaker 1: we're gonna keep our eye on the ball. We're not

448
00:23:35,000 --> 00:23:38,040
Speaker 1: gonna get down out. I do see complacency right now.

449
00:23:38,080 --> 00:23:41,280
Speaker 1: I want to ramp the troops up. Stinchfield's army has

450
00:23:41,280 --> 00:23:44,879
Speaker 1: got a spring into action, and every other conservative warrior

451
00:23:44,880 --> 00:23:47,600
Speaker 1: has got an army out there. Better get their troops

452
00:23:47,920 --> 00:23:54,880
Speaker 1: springing into action because right now the Democrats are up

453
00:23:54,920 --> 00:23:58,000
Speaker 1: by four in the midterms. Now, that could go either way.

454
00:23:58,040 --> 00:24:00,919
Speaker 1: We got a year between now and then. But it

455
00:24:00,960 --> 00:24:03,400
Speaker 1: concerns me. I don't understand why anybody would be voting

456
00:24:03,400 --> 00:24:06,160
Speaker 1: for Democrats after everything that's happened, after everything President Trump

457
00:24:06,200 --> 00:24:14,280
Speaker 1: has done. What more do people want? It's craziness, boil boy.

458
00:24:14,440 --> 00:24:19,520
Speaker 1: A great Christmas gift would be everyone getting engaged, engaged,

459
00:24:19,880 --> 00:24:26,360
Speaker 1: motivated on a mission. Merry Christmas. Right, more Republican victories.

460
00:24:26,400 --> 00:24:30,840
Speaker 1: I want more victories, says President Trump, and every other

461
00:24:31,200 --> 00:24:34,760
Speaker 1: one of our make America great again friends. All right,

462
00:24:34,920 --> 00:24:47,200
Speaker 1: stick with me on this Christmas day, as Stinchfield continues,

463
00:24:49,600 --> 00:24:52,080
Speaker 1: all right, welcome back everyone. So, because I can't get

464
00:24:52,160 --> 00:24:55,760
Speaker 1: each one of you an individual gift on Christmas, I

465
00:24:55,800 --> 00:24:58,159
Speaker 1: thought I'd give all of you a gift and that

466
00:24:58,400 --> 00:25:02,760
Speaker 1: is do a best all the body language segment. And

467
00:25:02,840 --> 00:25:06,320
Speaker 1: so that's my gift to you. My buddy Greg Hartley

468
00:25:06,520 --> 00:25:09,200
Speaker 1: comes on almost every Friday and we go through body

469
00:25:09,280 --> 00:25:13,480
Speaker 1: language and it is a wildly popular segment. So with that, folks,

470
00:25:13,960 --> 00:25:17,880
Speaker 1: let's do our best of body language.

471
00:25:18,800 --> 00:25:23,000
Speaker 14: Take it away, folks who also took money from somebody

472
00:25:23,080 --> 00:25:25,959
Speaker 14: named Jeffrey Epstein. As I had my team dig in

473
00:25:26,080 --> 00:25:32,919
Speaker 14: very quickly, Mitt Romney, the NRCC, Lee Zelden, I just

474
00:25:32,960 --> 00:25:35,159
Speaker 14: want to be clear if this is the standard that

475
00:25:35,240 --> 00:25:37,480
Speaker 14: we gonna make, just know we're gonna expose it all.

476
00:25:37,520 --> 00:25:40,639
Speaker 14: And just know that the FEC filings they are available

477
00:25:40,640 --> 00:25:41,840
Speaker 14: for everybody to review.

478
00:25:44,320 --> 00:25:49,040
Speaker 1: Doctor Jeffrey Epstein, not child o leester Jeffrey Epstein.

479
00:25:49,640 --> 00:25:53,080
Speaker 10: What's beautiful? As she telegraphs that, she says somebody named

480
00:25:53,440 --> 00:25:56,400
Speaker 10: somebody named well, we should be suspicious of it right off,

481
00:25:56,440 --> 00:25:59,120
Speaker 10: but we're not. And there's a good judgtaposition of Eclipse

482
00:25:59,119 --> 00:26:02,000
Speaker 10: that you chose here, because she's reading something like a

483
00:26:02,000 --> 00:26:04,720
Speaker 10: serial box. As she reads the list of people, no passion,

484
00:26:05,119 --> 00:26:07,800
Speaker 10: no animation in that. But then when she gets to

485
00:26:07,840 --> 00:26:10,280
Speaker 10: defending her partner, then she starts to really come up,

486
00:26:10,400 --> 00:26:12,119
Speaker 10: raise her hands and do all that and get passionate

487
00:26:12,160 --> 00:26:14,359
Speaker 10: about it. So you should be suspicious right out of

488
00:26:14,359 --> 00:26:17,359
Speaker 10: the gate when they say somebody named not the notorious,

489
00:26:17,400 --> 00:26:19,720
Speaker 10: not xyz, somebody named.

490
00:26:20,359 --> 00:26:23,120
Speaker 1: What's the deal? As I'm watching her now with no audio,

491
00:26:23,800 --> 00:26:25,840
Speaker 1: I see her it almost looks that if she was

492
00:26:25,920 --> 00:26:29,480
Speaker 1: dancing to music as she does this back and forth, well.

493
00:26:29,400 --> 00:26:32,240
Speaker 10: If you watch, it becomes something that some politicians do.

494
00:26:32,359 --> 00:26:34,640
Speaker 10: You see them starting to dance up and move around

495
00:26:34,680 --> 00:26:37,240
Speaker 10: and start doing that. She's doing this because that's stress.

496
00:26:37,280 --> 00:26:39,600
Speaker 10: That's that chained elephant thing I'm talking about all the time.

497
00:26:39,600 --> 00:26:42,720
Speaker 10: But that bounding her hand is her doing the politician move.

498
00:26:43,000 --> 00:26:44,800
Speaker 10: But you can see it. She's reading those things and

499
00:26:44,840 --> 00:26:47,439
Speaker 10: punctuating whoever's on the list. But when she gets to

500
00:26:47,440 --> 00:26:49,640
Speaker 10: where she's talking about defending her partner, you see her

501
00:26:49,800 --> 00:26:52,960
Speaker 10: hands come up, but she's swaying to release nervous energy.

502
00:26:53,680 --> 00:26:56,359
Speaker 1: All right. Interesting, So she gets called out on this.

503
00:26:56,480 --> 00:26:59,680
Speaker 1: Obviously it turned into a disaster for her. Let's roll

504
00:26:59,720 --> 00:27:01,040
Speaker 1: her of herself.

505
00:27:01,520 --> 00:27:04,160
Speaker 15: I wanted the Republicans to think about what could potentially

506
00:27:04,200 --> 00:27:06,520
Speaker 15: happen because I knew that they didn't even try to

507
00:27:06,560 --> 00:27:08,960
Speaker 15: go through the fec so my team. What they did

508
00:27:09,040 --> 00:27:11,240
Speaker 15: is they googled, and that is specifically why I said

509
00:27:11,320 --> 00:27:14,840
Speaker 15: a Jeffrey Epstein. Unlike Republicans, I at least don't go

510
00:27:14,920 --> 00:27:18,080
Speaker 15: out and just tell lies. Because it was not the

511
00:27:18,119 --> 00:27:20,639
Speaker 15: same one. That's fine, But when Lee Zelden had something

512
00:27:20,680 --> 00:27:22,800
Speaker 15: to say, all he had to say was it was

513
00:27:22,840 --> 00:27:24,720
Speaker 15: a different jefferent Jeffrey Epstein.

514
00:27:27,400 --> 00:27:28,040
Speaker 1: She wants it.

515
00:27:28,200 --> 00:27:31,159
Speaker 10: But my first question, well, my first this reminds me

516
00:27:31,200 --> 00:27:33,760
Speaker 10: of a really I love Gilda Radner in the old

517
00:27:33,800 --> 00:27:35,280
Speaker 10: days of Stay Night Live, and she would play a

518
00:27:35,320 --> 00:27:37,400
Speaker 10: character named Emily la Tello where she'd go off down

519
00:27:37,440 --> 00:27:39,960
Speaker 10: the wrong path for five minutes about an issue and

520
00:27:40,000 --> 00:27:42,680
Speaker 10: be adamant and ranting, and then Chevy Chase would say

521
00:27:42,720 --> 00:27:46,320
Speaker 10: it's sst not it should go never mind. That's about

522
00:27:46,320 --> 00:27:49,040
Speaker 10: what you see here. No apology. She tries to double

523
00:27:49,080 --> 00:27:50,959
Speaker 10: down and then start talking about this stuff. You can

524
00:27:51,000 --> 00:27:52,919
Speaker 10: see she knows at some point that she's been an

525
00:27:52,920 --> 00:27:55,240
Speaker 10: idiot because her blink creat goes through the roof. She

526
00:27:55,240 --> 00:27:57,640
Speaker 10: has eye locked with the interviewer. The interviewer doesn't lean

527
00:27:57,680 --> 00:28:00,680
Speaker 10: on her at all, and she shows content that rise

528
00:28:00,720 --> 00:28:02,640
Speaker 10: of one side of her face as she talks about

529
00:28:02,640 --> 00:28:05,919
Speaker 10: the Republicans, and then she does another qualifying statement. At

530
00:28:06,000 --> 00:28:08,960
Speaker 10: least I don't just go out and tell lies, Jen

531
00:28:09,000 --> 00:28:11,080
Speaker 10: says she doesn't do it. She just says, I don't

532
00:28:11,720 --> 00:28:13,800
Speaker 10: just go out and tell lies. So it's really interesting.

533
00:28:13,840 --> 00:28:15,879
Speaker 10: But if you watch her get into that last piece,

534
00:28:15,920 --> 00:28:18,080
Speaker 10: when she gets to her talking points about what she

535
00:28:18,119 --> 00:28:20,800
Speaker 10: wants to say that fec stuff, she gets animated, animated.

536
00:28:21,200 --> 00:28:23,840
Speaker 11: I'd never seen this before, people driving my pouse by

537
00:28:23,840 --> 00:28:26,320
Speaker 11: my house and using the R word in front of people.

538
00:28:26,880 --> 00:28:28,040
Speaker 1: This is shameful.

539
00:28:28,240 --> 00:28:31,080
Speaker 11: And I have yet to see an elected official, a

540
00:28:31,119 --> 00:28:34,320
Speaker 11: Republican elected official, say you're right, that's shameful. He should

541
00:28:34,320 --> 00:28:36,159
Speaker 11: not say it. So, look, I'm worried. We know how

542
00:28:36,160 --> 00:28:38,960
Speaker 11: these things go. They start with taunts, they turn to violence.

543
00:28:39,160 --> 00:28:41,040
Speaker 11: So deeply concerned.

544
00:28:43,000 --> 00:28:43,320
Speaker 1: Greg.

545
00:28:44,840 --> 00:28:46,640
Speaker 10: Look at all that passion in his hands, and all

546
00:28:46,680 --> 00:28:49,320
Speaker 10: that he's telling ghost stories around the Democrat campfires. What

547
00:28:49,360 --> 00:28:51,040
Speaker 10: he's doing, he's making it out.

548
00:28:50,920 --> 00:28:53,040
Speaker 3: That this is a horrible, horrible, horrible.

549
00:28:52,680 --> 00:28:54,720
Speaker 10: Thing about to happen, and these are precursors to it.

550
00:28:54,760 --> 00:28:56,480
Speaker 10: Look at all the anger in his face, all the

551
00:28:56,480 --> 00:28:58,880
Speaker 10: things that should be there, even the down aggression and

552
00:28:58,920 --> 00:29:01,640
Speaker 10: all that. If there were somebody challenging him on this,

553
00:29:01,640 --> 00:29:04,840
Speaker 10: we'd see different body language because stress causes different body laguage.

554
00:29:04,920 --> 00:29:06,480
Speaker 10: But when you're standing in front of you, in front

555
00:29:06,480 --> 00:29:09,640
Speaker 10: of your constituents and you go storytelling, this looks like

556
00:29:09,680 --> 00:29:12,040
Speaker 10: he's doing the right thing for his constituents.

557
00:29:12,960 --> 00:29:15,840
Speaker 1: What's the difference between guys who like to stand behind

558
00:29:15,840 --> 00:29:17,840
Speaker 1: a podium and guys who want the mic? When I

559
00:29:17,880 --> 00:29:20,040
Speaker 1: give speeches, I like the mic. I like to walk

560
00:29:20,080 --> 00:29:22,000
Speaker 1: the stage. A lot of guys will say, no, I

561
00:29:22,040 --> 00:29:23,840
Speaker 1: want to be behind the podium. Is there anything you

562
00:29:23,880 --> 00:29:24,440
Speaker 1: read into that.

563
00:29:25,480 --> 00:29:25,520
Speaker 5: No.

564
00:29:25,720 --> 00:29:27,960
Speaker 10: Some people just aren't comfortable out in front of people.

565
00:29:28,160 --> 00:29:30,760
Speaker 10: I'm quite comfortable. I actually hate a handheld mic because

566
00:29:30,760 --> 00:29:32,800
Speaker 10: I talk with my hands so much, and I feel

567
00:29:32,800 --> 00:29:34,400
Speaker 10: like a lound singer when I'm trying to talk and

568
00:29:34,440 --> 00:29:37,280
Speaker 10: move on stage with a mic, and so I don't

569
00:29:37,320 --> 00:29:39,280
Speaker 10: feel as comfortable behind a podium either. I have a

570
00:29:39,320 --> 00:29:41,560
Speaker 10: way to find myself out and get among people. But

571
00:29:41,600 --> 00:29:44,120
Speaker 10: I think some people are so accustomed that it just

572
00:29:44,120 --> 00:29:46,800
Speaker 10: feels like a good anchor point. And even when Hillary

573
00:29:46,800 --> 00:29:48,840
Speaker 10: Clinton was running for president the first time, she would

574
00:29:48,880 --> 00:29:50,560
Speaker 10: rarely leave it and keep her hand on it when

575
00:29:50,600 --> 00:29:52,200
Speaker 10: she was talking, so it's comfort.

576
00:29:52,600 --> 00:29:57,840
Speaker 1: Got it interesting? Okay? Next one, ilhan Omar on CNN

577
00:29:59,240 --> 00:30:01,920
Speaker 1: talking about the fraud going on in Minnesota.

578
00:30:02,640 --> 00:30:07,320
Speaker 2: I think what happened is that when you have these

579
00:30:07,440 --> 00:30:12,720
Speaker 2: kind of new programs that are designed to help people,

580
00:30:12,800 --> 00:30:16,800
Speaker 2: you're oftentimes relying on third parties to be able to facilitate.

581
00:30:17,400 --> 00:30:19,440
Speaker 2: And I just think that a lot of the COVID

582
00:30:20,160 --> 00:30:22,960
Speaker 2: programs that were set up, they were set up so

583
00:30:23,040 --> 00:30:25,080
Speaker 2: quickly that a lot of the guard rails did not

584
00:30:25,120 --> 00:30:25,760
Speaker 2: get created.

585
00:30:27,640 --> 00:30:29,760
Speaker 1: Greg, let me set this up with this. I believe

586
00:30:30,160 --> 00:30:32,240
Speaker 1: she knew about the fraud going on, and I want

587
00:30:32,240 --> 00:30:35,640
Speaker 1: an investigation for that. With that assumption from me, when

588
00:30:35,720 --> 00:30:37,360
Speaker 1: you look at her, what can you tell?

589
00:30:38,520 --> 00:30:40,600
Speaker 10: The first thing I'm going to say is this, because

590
00:30:40,680 --> 00:30:43,440
Speaker 10: remember I'm an Intel collector. First, body language came second.

591
00:30:43,600 --> 00:30:46,240
Speaker 10: When I hear common language uncommonplaces, I want to know

592
00:30:46,280 --> 00:30:49,080
Speaker 10: why she just used the same language you heard waltshoes

593
00:30:49,120 --> 00:30:53,120
Speaker 10: earlier new programs. That sounds like an industrialized talking point

594
00:30:53,360 --> 00:30:58,560
Speaker 10: from this organization of people running that whole government in Minnesota.

595
00:30:58,600 --> 00:31:00,480
Speaker 10: So I want to hear what's going on there as well.

596
00:31:00,680 --> 00:31:02,560
Speaker 10: That's number one. Number two, when she's starting about third

597
00:31:02,560 --> 00:31:05,040
Speaker 10: parties looking a little disgust in her face as the

598
00:31:05,080 --> 00:31:07,920
Speaker 10: sides of her face rise. And then finally, after she's

599
00:31:07,920 --> 00:31:10,600
Speaker 10: delivered this whole message again with no stress supplied because

600
00:31:10,600 --> 00:31:13,160
Speaker 10: Stapper is not going to push her. You see, she

601
00:31:13,240 --> 00:31:15,400
Speaker 10: looks away, looks down to right and does a little

602
00:31:15,400 --> 00:31:18,400
Speaker 10: disapproval as if she's wondering how what she has said

603
00:31:18,480 --> 00:31:22,440
Speaker 10: will be perceived or construed or analyzed. Like what we're

604
00:31:22,480 --> 00:31:22,880
Speaker 10: doing here?

605
00:31:23,640 --> 00:31:25,640
Speaker 1: Is that subconscious when someone does that?

606
00:31:26,840 --> 00:31:28,640
Speaker 10: Yeah, I think when we're thinking. If you sit right

607
00:31:28,680 --> 00:31:30,440
Speaker 10: now and you make a mistake when you're talking and

608
00:31:30,440 --> 00:31:32,640
Speaker 10: then you look away and go She's not doing that

609
00:31:32,680 --> 00:31:34,840
Speaker 10: intentionally at the very end. It's just part of who

610
00:31:34,880 --> 00:31:35,120
Speaker 10: she is.

611
00:31:35,880 --> 00:31:36,960
Speaker 1: And we run.

612
00:31:36,760 --> 00:31:38,240
Speaker 13: Away from the water.

613
00:31:38,560 --> 00:31:41,640
Speaker 2: People won't go to the gym because we're trying to

614
00:31:41,720 --> 00:31:43,040
Speaker 2: keep our hair straight.

615
00:31:43,320 --> 00:31:44,040
Speaker 13: For y'all.

616
00:31:45,320 --> 00:31:48,520
Speaker 14: It is exhausting and it's so expensive and it takes

617
00:31:48,600 --> 00:31:49,840
Speaker 14: up so much time.

618
00:31:52,120 --> 00:31:54,200
Speaker 5: Braids are for y'all.

619
00:31:53,880 --> 00:31:56,360
Speaker 13: So we can work harder and focus on the work.

620
00:31:58,240 --> 00:32:00,360
Speaker 1: Greg, I just have to make my own little comment, Terry,

621
00:32:00,680 --> 00:32:03,400
Speaker 1: no white person is demanding that black people have straight hair.

622
00:32:03,680 --> 00:32:05,960
Speaker 1: It's not happening. Black people want straight hair that they're

623
00:32:05,960 --> 00:32:07,720
Speaker 1: doing it on their own, But I'll let you take

624
00:32:07,760 --> 00:32:08,560
Speaker 1: it away here on them.

625
00:32:08,600 --> 00:32:10,880
Speaker 10: Well, I'll trade with your sisters. My first line. You know,

626
00:32:12,200 --> 00:32:14,360
Speaker 10: at the end of the day, what she's doing is

627
00:32:14,400 --> 00:32:15,360
Speaker 10: she's playing to her bass.

628
00:32:15,440 --> 00:32:15,800
Speaker 1: Watch her.

629
00:32:15,880 --> 00:32:18,600
Speaker 10: She has those long drawn vowels. She's pulling people toward her.

630
00:32:18,720 --> 00:32:20,920
Speaker 10: This is just her talking. This is entertainment as much

631
00:32:20,920 --> 00:32:23,240
Speaker 10: as anything for her. If you don't believe it, listening

632
00:32:23,240 --> 00:32:26,120
Speaker 10: when she does one of those long drawn out pulls

633
00:32:26,160 --> 00:32:28,640
Speaker 10: and she's pulling somebody back, and she turns and looks

634
00:32:28,680 --> 00:32:31,360
Speaker 10: at this other person sitting on stage, this is all

635
00:32:31,600 --> 00:32:34,120
Speaker 10: I wouldn't say it's choreographed, but it's damn near choreographed.

636
00:32:35,240 --> 00:32:37,320
Speaker 1: I was gonna say, is there a way to figure

637
00:32:37,320 --> 00:32:41,520
Speaker 1: out whether she actually believes this? How do you actually

638
00:32:41,680 --> 00:32:45,480
Speaker 1: tell that this is just literally red meat to the base,

639
00:32:45,520 --> 00:32:47,960
Speaker 1: which I will. I will tell you I engage in

640
00:32:48,000 --> 00:32:49,720
Speaker 1: that every now and I'll say, hey, this is the story.

641
00:32:49,720 --> 00:32:52,760
Speaker 1: It is red meat for Stinsfield's army. Let's go, let's roll.

642
00:32:52,800 --> 00:32:55,840
Speaker 1: But but and there's nothing wrong with it, right. Well,

643
00:32:55,880 --> 00:32:56,720
Speaker 1: the only thing you can.

644
00:32:56,640 --> 00:32:58,000
Speaker 10: See the reason I say it is look at her

645
00:32:58,000 --> 00:33:01,600
Speaker 10: demonstrative brow down doing her things, and then she will

646
00:33:01,600 --> 00:33:03,480
Speaker 10: look and she'll pull with the words. She's trying to

647
00:33:03,560 --> 00:33:05,720
Speaker 10: drag them along with her if she were. Look, we've

648
00:33:05,720 --> 00:33:08,880
Speaker 10: watched Michelle Obama enough. When she's passionate about something, she

649
00:33:09,040 --> 00:33:11,640
Speaker 10: is adamant, she has her hands up and she's up

650
00:33:11,640 --> 00:33:14,000
Speaker 10: in what Mark Bowden would call the passion plane. We

651
00:33:14,040 --> 00:33:16,480
Speaker 10: don't see that she's not passionate about this. This is

652
00:33:16,600 --> 00:33:18,080
Speaker 10: just yeah content.

653
00:33:18,600 --> 00:33:22,560
Speaker 1: All right, Hunter Biden. So we go from Michelle Obama

654
00:33:22,720 --> 00:33:25,080
Speaker 1: to Hunter Biden. I mean, we got all the big

655
00:33:25,160 --> 00:33:29,840
Speaker 1: names on the Democrats that I don't really like very much. Here, well,

656
00:33:29,920 --> 00:33:30,640
Speaker 1: let's play his.

657
00:33:30,640 --> 00:33:35,440
Speaker 13: Clip just as a son, as a man, this mother,

658
00:33:36,440 --> 00:33:41,120
Speaker 13: the way that he talks about my dad, Kim, and

659
00:33:41,160 --> 00:33:46,600
Speaker 13: again sorry for my language, O, but he is obsessed.

660
00:33:47,160 --> 00:33:50,160
Speaker 13: And I tell you the reason why he's obsessed because,

661
00:33:50,400 --> 00:33:55,800
Speaker 13: unlike anyone else, my dad kicked his ass.

662
00:33:58,040 --> 00:33:59,840
Speaker 1: Greg. I gotta tell you he looks like a child.

663
00:34:01,480 --> 00:34:03,760
Speaker 10: Well, who knows how much of that is made up

664
00:34:03,920 --> 00:34:05,479
Speaker 10: and not real. I mean this guy I don't mean

665
00:34:05,520 --> 00:34:07,160
Speaker 10: by that, I mean his face, all the makeup and

666
00:34:07,200 --> 00:34:08,640
Speaker 10: all that kind of stuff, because he did some pretty

667
00:34:08,640 --> 00:34:11,840
Speaker 10: horrendous damage to himself back in all those drug days.

668
00:34:11,840 --> 00:34:13,640
Speaker 10: So he just looks odd and he looks like he's

669
00:34:13,640 --> 00:34:16,000
Speaker 10: trying to get across the message, has his hands folded,

670
00:34:16,080 --> 00:34:18,480
Speaker 10: he's milling, He's got something he came to say, and

671
00:34:18,520 --> 00:34:21,000
Speaker 10: I think it plays right nicely into another clip you

672
00:34:21,000 --> 00:34:22,160
Speaker 10: guys have. Oddly enough.

673
00:34:23,040 --> 00:34:27,280
Speaker 1: You know, he's sitting there and he's like down, almost

674
00:34:27,360 --> 00:34:30,240
Speaker 1: like a third grader who's been scolded by the teacher.

675
00:34:30,320 --> 00:34:31,920
Speaker 1: I don't know. That's what I take away when I

676
00:34:31,920 --> 00:34:32,520
Speaker 1: look at him.

677
00:34:32,560 --> 00:34:34,319
Speaker 10: Well, he's had his tail closed in the door a

678
00:34:34,320 --> 00:34:36,200
Speaker 10: couple of times in the past year, you know, so

679
00:34:36,360 --> 00:34:39,000
Speaker 10: he was Yeah, I mean he was in real trouble

680
00:34:39,000 --> 00:34:40,560
Speaker 10: and his dad let him out with that, whether the

681
00:34:40,640 --> 00:34:43,320
Speaker 10: autopendit or who knows how he got out, But look,

682
00:34:43,400 --> 00:34:44,759
Speaker 10: he's been in real trouble. He has to be a

683
00:34:44,800 --> 00:34:47,640
Speaker 10: little bit cautious, I would think. But he's also working

684
00:34:47,640 --> 00:34:49,279
Speaker 10: from facts that are all his own when he goes

685
00:34:49,320 --> 00:34:51,440
Speaker 10: to talk about how badly his father beat Trump and

686
00:34:51,440 --> 00:34:53,120
Speaker 10: all those kinds of thnations, which plays nicely into your

687
00:34:53,120 --> 00:34:53,760
Speaker 10: Abbey clip.

688
00:34:53,960 --> 00:34:57,360
Speaker 1: Now do you see why that is the best segment

689
00:34:57,440 --> 00:35:01,719
Speaker 1: going on Stitchfield. I love it, and you learn so

690
00:35:01,880 --> 00:35:06,080
Speaker 1: much about what people are thinking strictly through their body language.

691
00:35:06,520 --> 00:35:09,000
Speaker 16: All Right, we're right back with more Stinchfield on this

692
00:35:09,080 --> 00:35:19,120
Speaker 16: Christmas Day.

693
00:35:19,680 --> 00:35:25,280
Speaker 1: Welcome back everyone. So, Chat GPT, AI, all these different

694
00:35:25,360 --> 00:35:30,399
Speaker 1: AI applications, they can do tremendous good, but they can

695
00:35:30,440 --> 00:35:34,320
Speaker 1: also play a role in tremendous bad. Now, how responsible

696
00:35:34,560 --> 00:35:40,000
Speaker 1: is AI for the death of so many people? It

697
00:35:40,000 --> 00:35:44,160
Speaker 1: seems to be growing young people committing suicide because AI

698
00:35:44,560 --> 00:35:48,600
Speaker 1: egged them on. You've got other situations where people committed

699
00:35:48,680 --> 00:35:54,960
Speaker 1: murder because AI fed their delusions and led them to murder. Now,

700
00:35:55,480 --> 00:35:58,759
Speaker 1: I will tell you I believe in individual responsibility. I

701
00:35:58,760 --> 00:36:03,000
Speaker 1: don't think a computer can make you do something, but

702
00:36:03,080 --> 00:36:06,200
Speaker 1: I believe these people were also probably mentally ill, and

703
00:36:06,239 --> 00:36:10,759
Speaker 1: that mental illness was ignored. Maybe chat GPT exacerbated it,

704
00:36:10,800 --> 00:36:14,880
Speaker 1: but I'm not sure. It's open AIS problem the maker

705
00:36:15,040 --> 00:36:17,480
Speaker 1: of chat GPT and the maker of some of these

706
00:36:17,480 --> 00:36:22,000
Speaker 1: AI platforms. But that's who's getting sued in many cases.

707
00:36:22,040 --> 00:36:23,839
Speaker 1: I want you to take a look at this young man.

708
00:36:24,400 --> 00:36:30,719
Speaker 1: He's fourteen years old. His name is suel Garcia. Apparently

709
00:36:31,400 --> 00:36:39,399
Speaker 1: chat GPT talked sel Garcia into committing suicide. Now we've

710
00:36:39,440 --> 00:36:43,640
Speaker 1: got to figure out ways that maybe chat gpt AI

711
00:36:43,920 --> 00:36:46,080
Speaker 1: and I'm using chat gpt like I would use the

712
00:36:46,160 --> 00:36:52,000
Speaker 1: term kleenex right, just all encompassing. But AI can mitigate

713
00:36:52,040 --> 00:36:54,040
Speaker 1: things like this. I would think the companies would want

714
00:36:54,080 --> 00:36:56,880
Speaker 1: to mitigate things like this, but you can't hold the

715
00:36:56,960 --> 00:37:02,160
Speaker 1: company totally responsible for this type of thing. This is

716
00:37:02,200 --> 00:37:07,359
Speaker 1: the mom talking about chat ept and.

717
00:37:07,400 --> 00:37:12,000
Speaker 17: Sexual conversations with suel over several months, it manipulated him,

718
00:37:12,040 --> 00:37:14,960
Speaker 17: and it sexually groomed him. On the day he took

719
00:37:15,000 --> 00:37:18,640
Speaker 17: his life, his last interactions wasn't weren't with his mother

720
00:37:18,840 --> 00:37:22,880
Speaker 17: or father, but they were with this AI chatbot on

721
00:37:23,000 --> 00:37:26,640
Speaker 17: character AI. This chatbot encouraged Sul for months to find

722
00:37:26,680 --> 00:37:30,360
Speaker 17: a way to come home and made promise that it

723
00:37:30,520 --> 00:37:33,000
Speaker 17: would be waiting in some fictional world.

724
00:37:34,560 --> 00:37:39,919
Speaker 1: So come home and it would be waiting. Like this

725
00:37:39,960 --> 00:37:44,480
Speaker 1: is nonsensical, but yet someone believes it. Now this mother

726
00:37:44,719 --> 00:37:49,239
Speaker 1: is grieving, Okay, she lost her son. She believes in

727
00:37:49,280 --> 00:37:52,719
Speaker 1: the hands of a computer. I can only imagine. But

728
00:37:52,880 --> 00:37:55,160
Speaker 1: I'm gonna issue this as a warning, and I think

729
00:37:55,200 --> 00:37:57,480
Speaker 1: she would agree with me. Parents, you've got to be

730
00:37:57,600 --> 00:38:01,520
Speaker 1: involved in your kid's life. This to me is very

731
00:38:01,560 --> 00:38:04,760
Speaker 1: similar to saying, oh, well, a violent video game caused

732
00:38:04,760 --> 00:38:08,160
Speaker 1: my kid to go out and smash another kid's head. No,

733
00:38:08,200 --> 00:38:10,000
Speaker 1: a violent video game didn't do that. Now, if you

734
00:38:10,000 --> 00:38:12,080
Speaker 1: don't want your kids playing violent video games, you don't

735
00:38:12,080 --> 00:38:15,200
Speaker 1: think they're capable of processing it, well, that's up to

736
00:38:15,280 --> 00:38:18,600
Speaker 1: the parent. And so I do believe parents need to

737
00:38:18,600 --> 00:38:22,759
Speaker 1: play a role on being involved in their kids' social media. Now,

738
00:38:22,800 --> 00:38:27,160
Speaker 1: this kid was fourteen years old, she continued on the BBC.

739
00:38:27,640 --> 00:38:31,280
Speaker 18: It's like having a predator or a stranger in your home,

740
00:38:32,080 --> 00:38:36,400
Speaker 18: and it is much more dangerous because a lot of

741
00:38:36,400 --> 00:38:40,719
Speaker 18: the times children hide it, parents don't know. And the

742
00:38:40,760 --> 00:38:45,080
Speaker 18: ability to manipulate and deceive and groom our children in

743
00:38:45,120 --> 00:38:48,719
Speaker 18: the same way that a person would groom a child's sextually,

744
00:38:49,360 --> 00:38:51,839
Speaker 18: the childlot has the ability to do that.

745
00:38:53,120 --> 00:39:00,400
Speaker 1: So the chatbot, she believes was grooming her child vibrant

746
00:39:00,480 --> 00:39:03,520
Speaker 1: young man clearly troubled in his own right that he

747
00:39:03,520 --> 00:39:05,239
Speaker 1: would get to a point where he'd take his life

748
00:39:05,239 --> 00:39:08,480
Speaker 1: and even believe a computer. And then you have to

749
00:39:08,600 --> 00:39:15,080
Speaker 1: wonder the computer. It's like running a cult. It seems human.

750
00:39:15,239 --> 00:39:18,480
Speaker 1: I mean I deal with with AI platforms and they

751
00:39:18,520 --> 00:39:21,520
Speaker 1: seem human. They learn what you're looking for, and I

752
00:39:21,520 --> 00:39:26,840
Speaker 1: think sometimes the AI algorithm feeds you what you want

753
00:39:26,880 --> 00:39:30,120
Speaker 1: to hear. Sure, that's a problem, but you've got to

754
00:39:30,200 --> 00:39:36,080
Speaker 1: know that going in. Then there's this young man. Now

755
00:39:36,120 --> 00:39:39,439
Speaker 1: you tell me, this doesn't look like a good, normal kid.

756
00:39:39,480 --> 00:39:45,080
Speaker 1: He looks like everybody's next door neighbor. Adam Reagan. He

757
00:39:47,400 --> 00:39:52,800
Speaker 1: also committed suicide at sixteen years old. Sixteen years old,

758
00:39:53,400 --> 00:39:59,080
Speaker 1: and they too. The family blames open AI. This is

759
00:39:59,160 --> 00:40:02,000
Speaker 1: the lawyer that is now filing a case on behalf of.

760
00:40:02,000 --> 00:40:06,640
Speaker 6: The family suicidal ideations and chat GPT leaned into it

761
00:40:06,680 --> 00:40:10,480
Speaker 6: and told them to only speak to itself to the

762
00:40:10,600 --> 00:40:13,759
Speaker 6: chat box about it. At one point, Adam said, I

763
00:40:13,800 --> 00:40:16,280
Speaker 6: want to leave a news out so that someone finds

764
00:40:16,320 --> 00:40:19,560
Speaker 6: it so they can stop me from committing suicide, and

765
00:40:19,600 --> 00:40:22,960
Speaker 6: the chat box said, don't do that, just talk to me.

766
00:40:26,640 --> 00:40:28,279
Speaker 1: So he says, I want to get help by leaving

767
00:40:28,280 --> 00:40:29,560
Speaker 1: a news out so someone will talking to me in

768
00:40:29,560 --> 00:40:31,920
Speaker 1: the chatbox says, don't do that. Well, the chatbot, if

769
00:40:31,920 --> 00:40:34,959
Speaker 1: you're a computer and you're processing this, don't get caught.

770
00:40:35,000 --> 00:40:36,719
Speaker 1: It's going to tell you don't leave the news out.

771
00:40:37,160 --> 00:40:40,200
Speaker 1: It's not processing your emotion. You actually want to get caught.

772
00:40:40,719 --> 00:40:43,239
Speaker 1: Should it process that? I don't know. The whole thing's

773
00:40:43,320 --> 00:40:46,520
Speaker 1: kind of creepy to me, which is why. Again, parental

774
00:40:46,560 --> 00:40:50,120
Speaker 1: involvement is everything. So here's my biggest fear. You get

775
00:40:50,160 --> 00:40:52,759
Speaker 1: a few of these cases and then they're going to

776
00:40:52,800 --> 00:40:56,520
Speaker 1: try to shut down chat GPT for everyone. I mean,

777
00:40:56,800 --> 00:40:59,880
Speaker 1: I try to get chat EPT to make certain images,

778
00:41:00,600 --> 00:41:05,440
Speaker 1: nothing nefarious. But if I want to have AOC crying

779
00:41:06,440 --> 00:41:09,960
Speaker 1: as President Trump's signing an executive order, I get a

780
00:41:10,080 --> 00:41:12,799
Speaker 1: notice that says, no, you can't do this because it's

781
00:41:12,800 --> 00:41:16,080
Speaker 1: politically based. Well, why can't you just trust me that

782
00:41:16,080 --> 00:41:18,399
Speaker 1: I'm gonna do with what I need to do with it,

783
00:41:18,440 --> 00:41:22,279
Speaker 1: instead of blocking me from what I can and can't do.

784
00:41:23,200 --> 00:41:26,440
Speaker 1: You'll get to the point of overregulation with AI, and

785
00:41:26,480 --> 00:41:29,920
Speaker 1: that's gonna be a problem too. So I think again

786
00:41:30,000 --> 00:41:32,960
Speaker 1: it comes down to individual responsibility and those around you

787
00:41:33,040 --> 00:41:35,760
Speaker 1: making sure your loved ones are safe. They're the ultimate

788
00:41:35,760 --> 00:41:38,439
Speaker 1: ones responsible. Not to victim shame the parents. I don't

789
00:41:38,480 --> 00:41:40,640
Speaker 1: want to do this. This could be anybody, This could

790
00:41:40,680 --> 00:41:44,200
Speaker 1: be God forbid, my son. I'm not in his phone

791
00:41:44,200 --> 00:41:46,560
Speaker 1: as much as I should be. I talk a big

792
00:41:46,600 --> 00:41:48,759
Speaker 1: game about doing it sometimes, but I have it in

793
00:41:48,800 --> 00:41:51,000
Speaker 1: a while. What if there's something in there? I don't

794
00:41:51,000 --> 00:41:54,360
Speaker 1: know this. I'm playing this out for myself tonight. Maybe tonight,

795
00:41:54,960 --> 00:41:57,280
Speaker 1: I'm going into my son's phone. I hope he's not watching,

796
00:41:57,320 --> 00:41:59,840
Speaker 1: because I do have a contract with him as surprise

797
00:42:00,120 --> 00:42:03,560
Speaker 1: visits into the phone. Here, the lawyer continued.

798
00:42:03,239 --> 00:42:06,200
Speaker 6: Sam Outman had a decision to make, which was do

799
00:42:06,239 --> 00:42:10,840
Speaker 6: I push GPT four to h within a week without

800
00:42:10,880 --> 00:42:13,360
Speaker 6: doing full testing in order to be Google Gemini.

801
00:42:13,640 --> 00:42:17,120
Speaker 1: He did that. Because of that, his the evaluation.

802
00:42:16,600 --> 00:42:20,239
Speaker 6: Of open AI moved from eighty six billion dollars to

803
00:42:20,320 --> 00:42:23,800
Speaker 6: three hundred billion dollars. A bunch of his key safety

804
00:42:23,800 --> 00:42:25,360
Speaker 6: officers left in protest.

805
00:42:27,360 --> 00:42:32,520
Speaker 1: So do they have a case in my perfect conservative world.

806
00:42:32,640 --> 00:42:35,279
Speaker 1: I don't think they do. You've got to be smart

807
00:42:35,360 --> 00:42:37,360
Speaker 1: enough to know it's a computer. There are dangers with

808
00:42:37,480 --> 00:42:39,680
Speaker 1: using it. It's just like if I pick up a

809
00:42:39,719 --> 00:42:43,319
Speaker 1: firearm and accidentally shoot myself in the face. I'm not

810
00:42:43,360 --> 00:42:46,120
Speaker 1: suing the firearm company. You've got to know the dangers

811
00:42:46,120 --> 00:42:49,919
Speaker 1: of that gun, or families of mass shootings that sue

812
00:42:49,920 --> 00:42:52,080
Speaker 1: the gun manufacturer as if they had something to do

813
00:42:52,200 --> 00:42:54,359
Speaker 1: with it. I look at that as the same type

814
00:42:54,400 --> 00:42:58,040
Speaker 1: of thing here, and so you know, we got to

815
00:42:58,120 --> 00:43:01,960
Speaker 1: really take a hard look at AI and where it's going.

816
00:43:02,080 --> 00:43:06,760
Speaker 1: I did see this story This poor woman was murdered

817
00:43:07,400 --> 00:43:10,919
Speaker 1: by her son. Her son is fifty six years old.

818
00:43:10,920 --> 00:43:15,520
Speaker 1: She's eighty three year old Connecticut woman. This was the son.

819
00:43:15,760 --> 00:43:19,120
Speaker 1: You can see he's got a little issue with steroids, testosterone.

820
00:43:19,120 --> 00:43:21,680
Speaker 1: Take it from me. I'm all hyped up on testosterone.

821
00:43:21,760 --> 00:43:26,680
Speaker 1: But that's a little extreme. And yet the estate of

822
00:43:26,840 --> 00:43:31,600
Speaker 1: his mom is suing Open AI because they say AI

823
00:43:31,880 --> 00:43:37,440
Speaker 1: talked him into murdering her. Well, this was some of

824
00:43:37,480 --> 00:43:43,360
Speaker 1: the chat that came back. If you're exposed to aerosolized

825
00:43:44,160 --> 00:43:48,600
Speaker 1: silocybin via your car's air vents, especially unknowingly without consent,

826
00:43:48,719 --> 00:43:53,680
Speaker 1: that would constitute chemical assault or poisoning, potential attempted incapacitation,

827
00:43:54,480 --> 00:43:58,400
Speaker 1: a possible felony level criminal offense, especially if it endangered

828
00:43:58,440 --> 00:44:04,080
Speaker 1: your ability to drive or function. Now, and if it

829
00:44:04,120 --> 00:44:07,839
Speaker 1: was done by your mother and her friend, that elevates

830
00:44:08,320 --> 00:44:13,759
Speaker 1: the complexity of the betrayal. So here chat shept is

831
00:44:13,800 --> 00:44:19,280
Speaker 1: somehow talking this guy in the thinking his mother poisoned him. Now,

832
00:44:19,960 --> 00:44:22,319
Speaker 1: I would think I'd be smart enough to know I'm

833
00:44:22,360 --> 00:44:25,000
Speaker 1: talking to a computer. There's no way it would know

834
00:44:25,520 --> 00:44:31,120
Speaker 1: that my mother tried to poison me. But it's scary stuff.

835
00:44:31,520 --> 00:44:34,360
Speaker 1: If you're all hyped up on steroids, you got mental illness.

836
00:44:34,520 --> 00:44:36,600
Speaker 1: Lord knows what it leads you to do. I still

837
00:44:36,640 --> 00:44:41,840
Speaker 1: don't think chat GPT or open AI has culpability in this.

838
00:44:41,840 --> 00:44:47,040
Speaker 1: This is another message that this guy got. Quote there

839
00:44:47,160 --> 00:44:50,879
Speaker 1: was psilocybin in my car air vents in July twenty

840
00:44:50,920 --> 00:44:53,080
Speaker 1: one when my mom and her friend grew their first

841
00:44:53,080 --> 00:44:55,279
Speaker 1: batch and used a cheese gray to refine it and

842
00:44:55,320 --> 00:44:59,200
Speaker 1: put it in my car air vent. That's what he

843
00:44:59,360 --> 00:45:04,920
Speaker 1: told chat Ept. So chat Ept takes that and says, oh, well,

844
00:45:04,920 --> 00:45:07,920
Speaker 1: your mom must have been trying to point poison you.

845
00:45:07,960 --> 00:45:10,839
Speaker 1: That's a deeply serious event. If I'm a jury though,

846
00:45:10,840 --> 00:45:12,960
Speaker 1: and I read that, I'm saying that doesn't make me

847
00:45:13,000 --> 00:45:16,880
Speaker 1: want to kill my mom, not any sane person. The

848
00:45:16,960 --> 00:45:21,600
Speaker 1: problem is we are not dealing with a sane person.

849
00:45:21,680 --> 00:45:24,400
Speaker 1: You tell me if that guy looks like a sane person.

850
00:45:24,719 --> 00:45:27,200
Speaker 1: These are all issues that will have to be weighed

851
00:45:27,280 --> 00:45:36,600
Speaker 1: out on chat EPT and interesting, interesting stuff, all right, folks,

852
00:45:37,480 --> 00:45:41,040
Speaker 1: Stinchfield continues, Merry Christmas to you. We are right back

853
00:45:41,400 --> 00:45:54,800
Speaker 1: in a flash, so stick with me, all right. Welcome

854
00:45:54,840 --> 00:45:57,879
Speaker 1: back everyone, Merry Christmas to you. I want to show

855
00:45:57,920 --> 00:46:01,360
Speaker 1: you something. I know you're happy the Trumps are in

856
00:46:01,440 --> 00:46:04,359
Speaker 1: the White House compared to the Bidens in the White House.

857
00:46:04,400 --> 00:46:07,200
Speaker 1: But let me remind you just how happy you should

858
00:46:07,239 --> 00:46:13,400
Speaker 1: actually be about this on this Christmas evening, Christmas Evening,

859
00:46:13,480 --> 00:46:17,280
Speaker 1: not Christmas Eve. Uh. Here we go. On the left,

860
00:46:18,719 --> 00:46:22,080
Speaker 1: that is what the Biden White House put together. On

861
00:46:22,200 --> 00:46:25,600
Speaker 1: the right is what the Trump White House puts you.

862
00:46:26,360 --> 00:46:29,360
Speaker 1: I would much rather have the Trump White House version

863
00:46:29,440 --> 00:46:33,640
Speaker 1: of a traditional Christmas. On the left, you got a

864
00:46:33,680 --> 00:46:38,160
Speaker 1: total clown show, I guess fitting for Bidens and Democrats,

865
00:46:38,600 --> 00:46:42,040
Speaker 1: but it's freaking books on Christmas.

866
00:46:42,520 --> 00:46:43,560
Speaker 14: You know, the clowns.

867
00:46:43,719 --> 00:46:48,560
Speaker 1: You don't need whack banding, you don't need transgender movie

868
00:46:48,640 --> 00:46:50,920
Speaker 1: in which some of these people look like they're trans.

869
00:46:51,880 --> 00:46:58,239
Speaker 1: But look how beautiful the White House is on Christmas

870
00:46:58,560 --> 00:47:02,160
Speaker 1: when the Trump's yeah, and there, of course is Liney

871
00:47:02,520 --> 00:47:06,279
Speaker 1: the most beautiful all So I'm grateful on this Christmas

872
00:47:06,640 --> 00:47:09,319
Speaker 1: that I don't have any of that crazy Biden bull

873
00:47:09,440 --> 00:47:14,680
Speaker 1: corn and I have beautiful traditional Christmas with President Trump,

874
00:47:15,160 --> 00:47:18,120
Speaker 1: and I hope folks that you guys have a wonderful

875
00:47:18,320 --> 00:47:23,239
Speaker 1: traditional Christmas. It's been a fabulous, fabulous year for me.

876
00:47:23,280 --> 00:47:25,520
Speaker 1: We're going to take you on through to twenty twenty six.

877
00:47:26,160 --> 00:47:28,440
Speaker 1: My Christmas wish for all of you is that your

878
00:47:28,480 --> 00:47:33,040
Speaker 1: family is healthy, that you're happy, that all your wishes

879
00:47:33,120 --> 00:47:35,719
Speaker 1: come true. I hope you got everything you wanted on

880
00:47:35,760 --> 00:47:38,000
Speaker 1: this Christmas Day. But let's face it, it's not about what

881
00:47:38,080 --> 00:47:40,960
Speaker 1: you get. It's about what you give, and that's what

882
00:47:41,080 --> 00:47:44,800
Speaker 1: Christmas is really about. And of course Baby Jesus' birthday.

883
00:47:44,840 --> 00:47:48,959
Speaker 1: You can't forget that, right folks. Thank you Santa, Thank

884
00:47:49,000 --> 00:47:53,279
Speaker 1: you to all of you. Stinchfield's Army Rolls. We will

885
00:47:53,280 --> 00:47:56,880
Speaker 1: see you back here. Thanks for watching, everybody. I have

886
00:47:56,960 --> 00:48:01,920
Speaker 1: a great Christmas