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Speaker 1: Well, good evening everyone. Welcome to Stensfield. Yes, finally a

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Speaker 1: real edition of Stenchfield. President Trump is having a rally

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Speaker 1: around nine o'clock Eastern time tonight, so we get a

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Speaker 1: show in and I'm so happy to be with you tonight.

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Speaker 1: I feel good heading into the weekend. Tuesday is almost here.

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Speaker 1: I can't wait. All I want to do is reach

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Speaker 1: out and grab election. They shake it and make sure

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Speaker 1: President Trump just falls out as a winner. But all

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Speaker 1: the signs, all the momentum is heading President Trump's direction.

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Speaker 1: Of course there'll be cheating. Of course you're going to

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Speaker 1: try to steal it. We've got to keep our eye

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Speaker 1: on the prize and make sure if you see something,

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Speaker 1: you say something. And in the end, I think this

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Speaker 1: thing's going to work out. Look, it is imploding for

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Speaker 1: the Harris campaign. First, she's an awful candidate. That's the

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Speaker 1: number one problem for them. The number two problem. You

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Speaker 1: got Joe Biden out there saying that all of Trump's

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Speaker 1: supporters are garbage. It was the number one Halloween costume yesterday.

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Speaker 1: Then Mark Cuban comes out, and what does Mark Cuban do.

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Speaker 1: He disparages women everywhere, saying that Trump doesn't surround himself

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Speaker 1: with smart, strong women. Listen to Mark Cuban.

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Speaker 2: Yeah, I mean yes, it'll put her over the edge

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Speaker 2: of Dicky Hally supporters.

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Speaker 1: Donald Trump.

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Speaker 2: You never see him around strong intelligent women ever. It's

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Speaker 2: just that simple. They're intimidating to him. He doesn't like

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Speaker 2: to be challenged by them. And you know, Nikki Helly

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Speaker 2: will call him on his nonsense with reproductive rights and

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Speaker 2: how he sees and treats and talks about women.

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Speaker 1: I mean, he just can't have her around.

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Speaker 3: It wouldn't work.

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Speaker 1: Here's a reality. I know Mark Cuban personally. We work

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Speaker 1: out at the same gym. I see him on a

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Speaker 1: fairly regular basis here in Dab. He's not that dumb.

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Speaker 1: This was a dumb move, okay. And it also shows

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Speaker 1: you that they're not thinking, because literally this is going

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Speaker 1: to have an effect. Doesn't surround himself with smart, strong women.

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Speaker 1: That's all President Trump surrounds himself with. Start with Milania. Okay,

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Speaker 1: you got Alena Hava, who is fabulous. I'm proud to

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Speaker 1: call her a friend, Sarah Huckabee Sanders, Kelly Anne Conway.

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Speaker 1: You want me to go down the list, because I

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Speaker 1: can literally name woman after woman after woman, and many

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Speaker 1: of those women came out with some harsh words for

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Speaker 1: Mark Cuban. Here, as I mentioned my friend Alena Hava,

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Speaker 1: President Trump's attorney Listen.

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Speaker 4: Burdon my delay in responding to Mark Cuban's disgusting, misogynistic remarks.

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Speaker 4: Some reservos Michael Cohen on three levels just confirmed and

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Speaker 4: denied by the Supreme Court of the United States. I'm

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Speaker 4: licensed in four states. I graduated college in three years.

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Speaker 4: Savage be Trump the way I could keep going.

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Speaker 5: But those are the cases I win.

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Speaker 4: And you're left wing media and your rhetoric and you're

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Speaker 4: putting women down. See President Trump doesn't do that. He

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Speaker 4: surrounds himself with strong women like me. So Mark Cuban,

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Speaker 4: you can go to hell. I'm voting for Trump because

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Speaker 4: I want my daughter to never ever be around people

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Speaker 4: that speak.

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Speaker 5: Like you do.

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Speaker 1: Heymen to that, Alina direct to the point. So Mark

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Speaker 1: Cuban comes out with this half hearted apology. It's hardly

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Speaker 1: an apology. I would a had more respect for him

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Speaker 1: if you didn't apologize. Double down on it again, but

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Speaker 1: I hate the apology. When you say something, you either

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Speaker 1: meet it or you don't. So he has this half

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Speaker 1: hearted apology. Apology number one here. When I said this

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Speaker 1: during the interview, I didn't get it out exactly the

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Speaker 1: way I thought I did. So I apologize anyone who

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Speaker 1: felt slighter or upset by my response. He says, what't

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Speaker 1: talking about supporters or employees? Give me a break. What

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Speaker 1: bothers me, though, is that so many of the comments

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Speaker 1: in the media in support of or against me has

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Speaker 1: some level of insult attached to it, some level of

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Speaker 1: insult attached to it. You call the people around him dumb.

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Speaker 1: That's the ultimate insult. You don't think we're gonna insult

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Speaker 1: you back. This was a dumb move on your part,

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Speaker 1: Mark Cuban, very very dumb. So the Harris campaign, as

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Speaker 1: I mention, is imploding. Here's Joe Biden basically given the

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Speaker 1: garbage comment. This is where it all started, and it

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Speaker 1: gets out of control from here or.

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Speaker 3: Puerto Rico, where I'm in my home state of Delaware.

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Speaker 3: They're good, decent, honorable people. The only garbage I see

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Speaker 3: floating down there is his supporters.

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Speaker 1: Oh really, well again, the only garbage I saw out

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Speaker 1: there were people making fun of you on Halloween last night. Okay,

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Speaker 1: so now you got Mark Cuban, you got him. I

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Speaker 1: just heard a SoundBite from Tammy Baldwin, running for Senate

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Speaker 1: in Wisconsin that says, what is to just make the

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Speaker 1: people that support President Trump, this is their com He's

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Speaker 1: a fascist? Oh my gosh, Well they're beside themselves. Lisa

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Speaker 1: booth Over at Fox pointed out that Trump's campaign is

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Speaker 1: virtually run by women, by the way, and he's kicking

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Speaker 1: Kamala Harris's ass.

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Speaker 6: I guess he wasn't aware that Susie Wiles is Donald

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Speaker 6: Trump's co campaign manager and the Trump campaign is running

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Speaker 6: circles around Kamala Harris's.

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Speaker 5: In fact, Donald Trump's.

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Speaker 6: On track to hit two seventy if you look at

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Speaker 6: the real Claire Politics battleground averages.

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Speaker 1: But beyond that, I'm.

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Speaker 6: Sick and tired of Trump supporters being disparaged by people

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Speaker 6: like Mark Cuban, Joe Biden, Kamala Harris. There are strong

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Speaker 6: and intelligent women across this country.

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Speaker 1: They're all over the place. In fact, they surround President Trump,

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Speaker 1: and I'm proud to know many of them, proud of it.

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Speaker 1: One of those women, and I'm proud to call a friend,

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Speaker 1: see her all the time she comes on this program.

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Speaker 1: Great friend of this program. The congresswoman from Colorado I'm

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Speaker 1: talking about, Congresswoman Laurd Bulbert, Congresswoman. Is great to see you, Grant.

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Speaker 5: It is great to be on here. And you know

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Speaker 5: this is nothing new. The left loves to hurl their

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Speaker 5: insults at Conservatives, at MAGA, Republicans, those of us who

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Speaker 5: want to put America first once again, and we will

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Speaker 5: continue to counter their attacks with our great policies, with

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Speaker 5: our positions, and we will outwork every single one of them. Now,

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Speaker 5: the biggest difference between the women who support President Trump

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Speaker 5: and the women that are in the Joe Biden and

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Speaker 5: Kamala Harris administration is that we're actually women. Joe Biden

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Speaker 5: has even said most of the women in my administration

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Speaker 5: are women, and I don't know if that's exactly true.

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Speaker 5: I think it's just a bunch of men in skirts

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Speaker 5: and lipstick. But here's the deal. We have strong voices

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Speaker 5: on our side from both men and women, and we

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Speaker 5: are dominating in the polls all throughout swing states and

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Speaker 5: all throughout America. I am on the ground here in

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Speaker 5: Colorado and we are going to take our country back

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Speaker 5: November fifth. We aren't just casting ballots. They are a

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Speaker 5: battle cry for American values and to take our country

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Speaker 5: back and save America.

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Speaker 1: All right, Lauren, let me ask you, because you got

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Speaker 1: Joe Biden comes out with the garbage comment that was

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Speaker 1: like Hillary Clinton's deplorables, it's the best thing at leads

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Speaker 1: to motivate make America great again conservatives, because we love

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Speaker 1: that kind of stuff. They'll be shirts with garbage and

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Speaker 1: all kinds of stuff. Then you have Mark Cuban come out.

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Speaker 1: Do you think this makes a difference or has the

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Speaker 1: camps already been set and we've got our tribes and

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Speaker 1: we're going into Tuesday and it's whoever pushes out the

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Speaker 1: most voters is going to win. But do you think

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Speaker 1: any of this makes a difference, these disparaging comments from

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Speaker 1: both of them.

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Speaker 5: If there's anything that makes a difference, it's with women

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Speaker 5: who are fed up with the Left and their insults

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Speaker 5: and attack and will drive them to President Trump. This

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Speaker 5: is what's happened over the past several years, and especially

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Speaker 5: the past four years. The more that they attack conservatives,

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Speaker 5: the more that they attack President Trump and his supporters,

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Speaker 5: the more support he gains. Every time that they come

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Speaker 5: out and say some nasty remark, it only brings more

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Speaker 5: people over to our side because Americans are sick of

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Speaker 5: the divisiveness. They want to see those of us who

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Speaker 5: are in office who can effectively legislate, pass bills, reduce inflation,

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Speaker 5: get our energy secure again, close our wide open southern borders,

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Speaker 5: keep our community safe, and protect our children in schools.

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Speaker 5: Mark Cuban's comments talking about women's reproductive rights, let me

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Speaker 5: tell you, one of the things that makes me a

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Speaker 5: powerful woman is my ability to create life. And I

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Speaker 5: have done so four times. This is the most powerful

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Speaker 5: about being a woman, and it does not empower me

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Speaker 5: to have the ability to end life. It's truly mind

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Speaker 5: boggling to me that the left continues on this narrative.

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Speaker 5: But we do have strong women like Alena Haba, like

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Speaker 5: Susie Wilds or Natalie Harp, who is by President Trump's

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Speaker 5: side each and every day, who is here because President

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Speaker 5: Trump brought the right to choose and with medical prescriptions,

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Speaker 5: and she's literally here today because of his policy. And

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Speaker 5: I'm so excited and proud to be a woman for

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Speaker 5: President Trump. We are going to continue to bring home

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Speaker 5: this message and get the votes turned in for our

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Speaker 5: election on November fifth.

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Speaker 1: Let me ask you one last question before I let

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Speaker 1: you go, because I know you're busy campaigning. I feel

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Speaker 1: good about your race there. You're in a new district,

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Speaker 1: but I feel good about it. And as I look

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Speaker 1: at that race the way it shapes up, I don't

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Speaker 1: feel oh so great about some other races. In fact,

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Speaker 1: I have more concerns for the House of Representatives and

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Speaker 1: Republicans keeping control than I do for the United States Senate,

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Speaker 1: which may surprise some people. How do you feel about

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Speaker 1: keeping the majority because this is going to be crucial

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Speaker 1: if President Trump wants to push his mega conservative through,

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Speaker 1: which we all want. How do you see the House

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Speaker 1: shaping up on Tuesday.

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Speaker 5: I certainly hope we come out of this with a majority.

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Speaker 5: I think that we have a ten seat majority when

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Speaker 5: this is all over. We need to get representatives re elected,

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Speaker 5: like Anna, Paulina Luna, of course myself. But we have

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Speaker 5: strong women in the House right now, Nancy May, and

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Speaker 5: there's many other seats that we can pick up. We

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Speaker 5: have Gabe Evans and Colorado's eighth district. We have John Fabricatory,

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Speaker 5: a former ice director for Colorado and Wyoming, running against

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Speaker 5: Jason Crow in Colorado's sixth district, and so we have

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Speaker 5: got to take these seats. Democrats like to call themselves

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Speaker 5: things they're not like conservatives or moderates, when we know

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Speaker 5: how extreme they are. So it is imperative for us

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Speaker 5: to vote for our House representatives for those candidates. It's

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Speaker 5: not enough to just vote for President Trump, because the

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Speaker 5: Democrats have already said that they are willing to not

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Speaker 5: certify the electoral College results to elect President Trump as president.

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Speaker 5: And of course if he's doesn't have a House majority,

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Speaker 5: then he's just going to have impeachment after impeachment once again.

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Speaker 1: Yeah, so important. I know. It is a raise to

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Speaker 1: the finish. I can't believe it's only a few days left.

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Speaker 1: We've been talking about this for well four years now,

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Speaker 1: and here we go. So I wish you good luck,

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Speaker 1: Lauren Bolbert. I appreciate you to sharing some time with

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Speaker 1: us tonight and make sure people get out there, help

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Speaker 1: you if you're in Colorado, and help all the other

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Speaker 1: Republicans out there. We need to take this house. Lauren Bolbert,

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Speaker 1: thank you, Thanks Graham. All right, we'll see you soon.

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Speaker 1: All right, folks. So one of the other things that

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Speaker 1: has happened is that President Trump is gaining momentum because

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Speaker 1: he's now relating to working class America, something the Democrats

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Speaker 1: ought they have locked up. They don't or President Trump's

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Speaker 1: I'll call it a stunt because it was a stunt

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Speaker 1: and it was brilliant working at McDonald's, but he actually

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Speaker 1: looked like he's enjoying himself. Then, of course there's the

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Speaker 1: garbage truck. It's another stunt, but it was teed up

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Speaker 1: by Joe Biden President Trump getting in there. Well, President

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Speaker 1: Trump talked about all of this.

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Speaker 7: Listen, how do you like my garbage truck, Tamala and

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Speaker 7: Joe Biden.

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Speaker 1: There you go in honor of Kamala and Joe Biden.

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Speaker 1: So does this resonate with women, because apparently, according to

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Speaker 1: Mark Cuban, no strong woman can be supportive of President Trump. Well,

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Speaker 1: that's the question I would like to figure out here.

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Speaker 1: This is the view who they are are so upset

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Speaker 1: with all of this that President Trump is garnering momentum here.

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Speaker 1: Check this out.

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Speaker 8: I think it's really sad that he's appealing to the

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Speaker 8: working man, like the blue collar worker with the garbage truck.

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Speaker 8: I know that was about garbage, but it was also

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Speaker 8: he wants to look like he can rub elbows at

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Speaker 8: a McDonald's. And he does all these things. The people

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Speaker 8: that will be hurt the most while he was a president,

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Speaker 8: he cut, He reduced by millions the number of workers.

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Speaker 8: And this is most This is blue collar workers who

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Speaker 8: would become eligible for overtime pay in twenty twenty five.

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Speaker 8: It goes even further, and he wants to take away

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Speaker 8: what forty hours after forty hours.

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Speaker 1: You see, they're all upset about his support by them

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Speaker 1: for him. So what effect does this have on women?

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Speaker 1: All of it right? Well, and I'll bring in now another

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Speaker 1: friend of mine Trump supporting mother media personality. Her name's

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Speaker 1: Gillian Anderson. She just wrote a great article in the

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Speaker 1: Washington Examiner about quote why mothers should back Trump. Jillian,

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Speaker 1: Welcome to the program.

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Speaker 9: I thank you for inviting me. Even though I'm unintelligent

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Speaker 9: and I'm not very strong.

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Speaker 1: Not strong, unintelligent. I only surround myself around you, Jillian,

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Speaker 1: because of that I feel more comfortable. God forbid. You

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Speaker 1: were strong, though. Seriously, folks at home, this is the

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Speaker 1: opposite of that strong and intelligent, and it is why

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Speaker 1: I have you on. Why don't you lay it on me?

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Speaker 1: Why should mothers support President Trump.

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Speaker 9: I mean, so for me, it kind of go this cycle.

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Speaker 9: We're going beyond CRT, going beyond the classrooms. We're looking

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Speaker 9: at actual things that I'm scared of. I'm looking at

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Speaker 9: an economy right now that's really hard to afford.

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Speaker 5: We all know.

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Speaker 9: Groceries are up, electricity bills are up, the car insurance

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Speaker 9: rental is up. And for me personally, I want to

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Speaker 9: expand my family, continue to expand my family. However, getting

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Speaker 9: a new house is really something I'm holding on because

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Speaker 9: of the interest rates. And I know other moms have

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Speaker 9: told me, hey, Jillian, I want have more kids, but we.

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Speaker 5: Just can't afford it. We cannot afford it day to day.

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Speaker 9: We cannot afford new cars, we cannot afford bigger homes

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Speaker 9: to expand our family. And not just that, you know

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Speaker 9: we are I'm a god fearing mother. You know, I'm

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Speaker 9: a god fearing mother who wants to be able to

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Speaker 9: have free speech. And we know we have these democratic

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Speaker 9: leaders constantly coming out. Christians in particular, are calling us

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Speaker 9: bigots and telling us we have hate speech, and they

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Speaker 9: want to demonize us and silence us. And I want

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Speaker 9: to preserve free speech, and I also want a safe country.

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Speaker 9: I want our borders to be closed. I don't want

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Speaker 9: fetanol pouring in. I don't want criminals and rapists. We

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Speaker 9: all see in the new ICE numbers that says we

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Speaker 9: have ten over ten thousand murderers wandering on America, fifteen

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Speaker 9: thousand rapists. I personally know someone that was shot in

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Speaker 9: the face by an illegal alien, the leader by neighborhood.

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Speaker 9: And I don't want these things for my children. I

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Speaker 9: want them to have a future. I want my children

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Speaker 9: to be able to buy a home, to speak freely

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Speaker 9: about their faith, and start a family of their own.

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Speaker 9: I don't want them to be fear for that because

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Speaker 9: if it's hard now, imagine what's going to be like

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Speaker 9: in twenty years.

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Speaker 1: Yeah, all of these things. Women and moms don't just

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Speaker 1: want it. I think dads and men want it to

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Speaker 1: I think anybody with common sense would want that. And

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Speaker 1: it is about opportunity. Who's going to provide it? President

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Speaker 1: Trump or Kamala Harrison literally wants to control every move

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Speaker 1: you make. Now I'm going to ask you a question, Jillian,

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Speaker 1: because I was so confused over this. I'm like, how

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Speaker 1: do these women in the Northeast. I'm just going to

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Speaker 1: be flat out honest with you, it's white, rich, suburban

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Speaker 1: women women sadly like my sister who went to Wellesley

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Speaker 1: College and is still kind of zombiesque on all of this. Okay,

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Speaker 1: I'm not sure it's totally just the abortion issue. They

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Speaker 1: have this twisted view that somehow President Trump is going

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Speaker 1: to create the Handmaid's Tail all over again, which we

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Speaker 1: didn't get that for four years when he was in office.

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Speaker 1: Where do they get this viewpoint from that? This is

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Speaker 1: just like the most awful man and they're going to

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Speaker 1: be you know, back, you know, in the house barefoot.

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Speaker 9: And you know what, Well, all you can do is

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Speaker 9: look at the facts, right and point them to the facts.

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Speaker 9: The fact is since Roe was overturned, abortions are up

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Speaker 9: eleven percent. They're up eleven percent, so more abortions are happening.

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Speaker 9: They're allowed to happen. It's completely up to the state,

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Speaker 9: and they know that. But they're fearmongering. They're desperate, and

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Speaker 9: this is the only issue they have is they're treating

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Speaker 9: it like the boogeyman. Trump was in office for four years.

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Speaker 9: They never lost the ability to have abortions then, and unfortunately,

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Speaker 9: there's more going on right now. So they're treating it

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Speaker 9: as a boogeyman. And I think the messaging is just

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Speaker 9: so hardcore on this because they can't go on policy,

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Speaker 9: they have to go on this fake idea that you're

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Speaker 9: gonna have to have birth, give birth to the children

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Speaker 9: that you make.

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Speaker 1: Yeah, I mean, thank you're right on that. I should

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Speaker 1: apologize to my sister for calling her zombieesque. But she

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Speaker 1: did do an Instagram post calling all of us cult members,

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Speaker 1: which her nephew my son, was a little upset about.

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Speaker 1: She said, Dad, I'm not a cult member. I said, no,

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Speaker 1: there's like one hundred million of us that's not a cult.

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Speaker 1: By the way, Julian Anderson, thank you so much for

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Speaker 1: coming on. I appreciate you and great article. I urge

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Speaker 1: people to go read it. You got it, all right, folks.

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Speaker 1: So what does this all mean for the election. I'm

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Speaker 1: looking at polling and I want to pull up three

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Speaker 1: states in particular. All right, throw this up here. This

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Speaker 1: is very important. This is from Rasmussen. President Trump went

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Speaker 1: winning in leading in all three states Pennsylvania, Nevada, and

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Speaker 1: North Carolina by roughly three to two or three points. Okay,

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Speaker 1: this is important. Those are important states. Is it this close.

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Speaker 1: I actually believe that President Trump is probably up ten

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Speaker 1: to fifteen points, and I only say that based off

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Speaker 1: of experience, but we shall see come Tuesday. Well, joining

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Speaker 1: me now is the head poster for Rasmussen Reports. Mark

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Speaker 1: Mitchell is back with US Market. It's great to have

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Speaker 1: you on the program.

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Speaker 10: Yeah, good to be back.

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Speaker 11: And I'd absolutely love to take this opportunity to dump

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Speaker 11: on my own state polling because I do think that

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Speaker 11: Trump is going to outperform every single number that you

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Speaker 11: put up there. And I can get into a little

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Speaker 11: bit of the inside baseball, but basically what's happening is

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Speaker 11: there's a major political realignment now and whether you support

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Speaker 11: Trump or Biden or Harris is a bigger deal than

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Speaker 11: the actual party. And so it's made it very hard

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Speaker 11: to figure out how to wait the electorate correctly. And

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Speaker 11: one of the things we've been looking for is people

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Speaker 11: that voted for Biden but are now voting for Trump.

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Speaker 11: And in my opinion, the right call for this election

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Speaker 11: season was for us to wait by something called the

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Speaker 11: recalled vote, where we ask people in twenty twenty who'd

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Speaker 11: you vote for, and then we make sure our sample

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Speaker 11: corrects for that a lot of posters were not doing that,

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Speaker 11: and they're over sampling Biden supporters. The problem with that

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Speaker 11: is it really kind of crushes any signal that you

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Speaker 11: would see of the Democrats who are just demoralized, propensity

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Speaker 11: voters who haven't voted yet, or all of a sudden

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Speaker 11: for the first time are going to vote Trump, or

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Speaker 11: first time voters that have never been pulled before they're

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Speaker 11: breaking Trump more than ever before. And so I think

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Speaker 11: that's all going to happen because if you look at

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Speaker 11: North Carolina, Donald Trump won that by a point in

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Speaker 11: a half four years ago, and now our polls say

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Speaker 11: two or three percent. But the thing is is that

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Speaker 11: the national polling has moved six or seven points to

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Speaker 11: the right since then. So we're in this really weird

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Speaker 11: situation where the state polling doesn't match the national popular

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Speaker 11: vote polling, and one of them is going to be

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Speaker 11: right and one of them is going to be wrong.

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Speaker 10: And my bet right now is.

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Speaker 11: That the state polling, again like it has been for

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Speaker 11: the last two cycles, is way too left. Then Donald

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Speaker 11: Trump is probably going to sweep all the battlefields because

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Speaker 11: right now in the real politics aggregate, they're roughly tied

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Speaker 11: to maybe Trump up as much as two points.

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Speaker 1: So this is, in my opinion, great news for President Trump. Obviously.

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Speaker 1: One of the reasons I have you on, Mark Mitchell

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Speaker 1: is I respect your opinion and Rasmussen's polling here, and

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Speaker 1: I don't respect a lot of the polling outlets out that.

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Speaker 1: There are others that I certainly do, but I respect this,

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Speaker 1: So I'm happy about this. I feel like one of

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Speaker 1: the problems in twenty sixteen was President Trump pulled out

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Speaker 1: a lot of new voters. So when you use this

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Speaker 1: term likely voters, you're sampling people that you know are

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Speaker 1: likely to vote. You don't sample people that you don't

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Speaker 1: know we're going to vote. I feel like we're in

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Speaker 1: that cycle again that there may be a lot of

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Speaker 1: voters that we don't know even existed out there that

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Speaker 1: are coming out to vote for President Trump.

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Speaker 10: Yeah, that's exactly right.

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Speaker 11: Listen, Pulling is hard and it's never ever one hundred

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Speaker 11: percent accurate, but it can be accurate. You get any

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Speaker 11: data feed and you can correct it over time and

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Speaker 11: learn from your mistakes and hone in on the right answer.

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Speaker 11: The problem is, in twenty sixteen, Republicans have never seen

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Speaker 11: anything like Donald Trump, and now in.

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Speaker 10: Twenty twenty four.

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Speaker 11: Nobody has really ever seen a presidency like Joe Biden is,

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Speaker 11: except maybe going back to the Carter administration, which is

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Speaker 11: why I think a lot of people are drawing parallels

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Speaker 11: to nineteen eighty. But I'll be the first to say

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Speaker 11: that I think the early voting data absolutely confirms that

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Speaker 11: a lot of people change their minds. But a lot

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Speaker 11: of people knew people are crawling over broken glass to

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Speaker 11: vote for Jnald Trump in a way that again isn't

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Speaker 11: reflected in the polls and really might signal an early

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Speaker 11: into election night on Tuesday.

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Speaker 1: Well, a lot of people are saying that that would

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Speaker 1: be great, we swamp the vote, we get enough states

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Speaker 1: in this could be called on Tuesday. I still don't

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Speaker 1: trust the Democrats in any way, so I'm very concerned

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Speaker 1: about that. But my last question for you, Mark, when

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Speaker 1: you talk about these swing states, seven of them, say,

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Speaker 1: how do you see president doing the President Trump doing?

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Speaker 1: Does he take four or five of them? Does he

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Speaker 1: take all of them? Where are you at with this?

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Speaker 11: I mean, if you took our numbers and said no

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Speaker 11: toss ups, he wins them all except Michigan, and he

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Speaker 11: actually gets really close in Virginia and New Hampshire. We

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Speaker 11: have him down two in Virginia and down one in

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Speaker 11: New Hampshire. But again, here's the thing. I think there's

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Speaker 11: a million reasons. All the state pollings too left, including mine,

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Speaker 11: in a way that the early I mean, listen, Trump's

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Speaker 11: up like two hundred thousand votes in Arizona, and we

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Speaker 11: just pulled Arizona, and among people who say they're going

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Speaker 11: to vote on election Day, Donald Trump is still up

434
00:23:17,880 --> 00:23:19,640
Speaker 11: like basically almost double digits.

435
00:23:20,000 --> 00:23:22,160
Speaker 10: So I think the Republicans.

436
00:23:21,560 --> 00:23:25,200
Speaker 1: Have gone finished, just finished that, No, just finished.

437
00:23:25,359 --> 00:23:28,879
Speaker 11: Everybody's saying that there's this cannibalization of the election day vote,

438
00:23:28,880 --> 00:23:31,160
Speaker 11: and that is not what I found in every single

439
00:23:31,240 --> 00:23:34,199
Speaker 11: state pole I've done this week. We've done twelve states,

440
00:23:34,200 --> 00:23:36,359
Speaker 11: and in every single one, Republicans have a lot of

441
00:23:36,359 --> 00:23:37,119
Speaker 11: gas in the tank.

442
00:23:38,080 --> 00:23:40,200
Speaker 1: All right, lastly, I supplied the last one was gonna

443
00:23:40,200 --> 00:23:42,159
Speaker 1: be last. But this is important too, Carrie Lake. I'm

444
00:23:42,240 --> 00:23:44,920
Speaker 1: polling for her mart in Arizona. We would really help

445
00:23:45,000 --> 00:23:47,400
Speaker 1: us if President Trump is up this big in Arizona.

446
00:23:47,440 --> 00:23:50,040
Speaker 1: Does that help bur because the polling shows her way behind.

447
00:23:51,600 --> 00:23:52,480
Speaker 10: Yeah. Absolutely.

448
00:23:52,560 --> 00:23:55,160
Speaker 11: So that's a tough one and there's a lot going

449
00:23:55,200 --> 00:23:56,800
Speaker 11: on in polling that I don't want to get into

450
00:23:56,800 --> 00:23:59,879
Speaker 11: all the details, but there's reasons to think that the

451
00:24:00,160 --> 00:24:04,680
Speaker 11: Republican Senatate candidates are doing better than the actual polling shows.

452
00:24:04,960 --> 00:24:06,879
Speaker 10: Now, listen, we do have some winning.

453
00:24:07,000 --> 00:24:10,960
Speaker 11: We have McCormick basically tied, Hofty up one point, so

454
00:24:11,000 --> 00:24:14,280
Speaker 11: there are gonna definitely be Republican pickups. But Carrie Lake

455
00:24:14,320 --> 00:24:16,640
Speaker 11: we head down two points once and then down four

456
00:24:16,640 --> 00:24:18,720
Speaker 11: points the most recent time. I don't think that's true.

457
00:24:18,760 --> 00:24:21,320
Speaker 11: I think a lot of people answering polls maybe don't

458
00:24:21,320 --> 00:24:23,760
Speaker 11: even know what party they are, and that Carrie Lake

459
00:24:23,840 --> 00:24:27,160
Speaker 11: might benefit from some straight ticket pickup effect, and if

460
00:24:27,160 --> 00:24:29,760
Speaker 11: Trump outperforms by a point or two, it's probably her race.

461
00:24:30,840 --> 00:24:33,520
Speaker 1: Mark Mitchell, you're great man. I hope everything you say

462
00:24:33,640 --> 00:24:36,520
Speaker 1: comes out to be true. And I appreciate you coming

463
00:24:36,560 --> 00:24:38,800
Speaker 1: on on a Friday evening. It is crunch time. It's

464
00:24:38,840 --> 00:24:41,840
Speaker 1: crunch time for you guys as well, and we appreciate you,

465
00:24:41,920 --> 00:24:43,399
Speaker 1: and rask you sooner, and I appreciate it.

466
00:24:43,400 --> 00:24:45,040
Speaker 10: Thanks for coming on, well, thanks so much. Happy to

467
00:24:45,040 --> 00:24:45,400
Speaker 10: be here.

468
00:24:46,200 --> 00:24:49,320
Speaker 1: Absolutely all right, folks, all of this spell's uncertainty. So

469
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Speaker 1: here's what I'd like you to do protect yourself with

470
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Speaker 1: gold today by texting America to the number nine eight

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Speaker 1: nine eight nine eight. Our friends at Birch Gold can

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Speaker 1: or an IRA, no problem there either. This is about

474
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Speaker 1: a portfolio protection maneuver. If you're not doing this at

475
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Speaker 1: least as part of your portfolio, you are behind the

476
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Speaker 1: eight ball. All right, here's what I want you to

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Speaker 1: do again. Text America to the number nine eight nine

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Speaker 1: eight nine eight. Our friends at Birch Gold can help

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Speaker 1: America's Voice viewers have used Birch Gold with great success.

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Speaker 1: You should too. Again Text America to the number nine

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Speaker 1: eight nine eight nine eight. All right. Coming up next,

483
00:25:28,359 --> 00:25:31,000
Speaker 1: the only thing that the Biden Harris administration has given

484
00:25:31,080 --> 00:25:34,480
Speaker 1: us is destruction. You will not believe how bad things

485
00:25:34,560 --> 00:25:38,200
Speaker 1: actually are, and really the big story is how they

486
00:25:38,320 --> 00:25:41,480
Speaker 1: tried to hide it. We will have more next.

487
00:25:46,800 --> 00:25:51,600
Speaker 12: The big jobs jobs jobs report and the prephecy came true.

488
00:25:51,840 --> 00:25:56,480
Speaker 12: Job's light twelve thousand, twelve thousand and non farm payroll

489
00:25:56,760 --> 00:25:59,840
Speaker 12: that is the lightest going back to December of twenty twenty.

490
00:26:03,040 --> 00:26:06,080
Speaker 1: It blows The jobs report it's really bad and without

491
00:26:06,160 --> 00:26:10,520
Speaker 1: government jobs, we would have lost jobs. Okay overall. Now

492
00:26:10,600 --> 00:26:12,919
Speaker 1: here's the real secret that the mainstream media is not

493
00:26:13,040 --> 00:26:16,080
Speaker 1: talking about. It was buried in the Bureau of Labor

494
00:26:16,119 --> 00:26:20,320
Speaker 1: and Statistics report. I read it, but not a lot

495
00:26:20,320 --> 00:26:24,600
Speaker 1: of people did check this out, buried weight out of

496
00:26:24,640 --> 00:26:28,760
Speaker 1: the bottom. In August and September, the jobs numbers were

497
00:26:28,800 --> 00:26:32,359
Speaker 1: also revised down by tens of thousands of jobs. Employment

498
00:26:32,400 --> 00:26:35,840
Speaker 1: for August was revised down by eighty one thousand, from

499
00:26:35,880 --> 00:26:38,800
Speaker 1: one hundred and fifty nine thousand to seventy eight thousand,

500
00:26:38,840 --> 00:26:42,000
Speaker 1: and the change for September was revised down thirty one thousand,

501
00:26:42,480 --> 00:26:45,320
Speaker 1: from two fifty four to two twenty three. With these revisions,

502
00:26:45,359 --> 00:26:48,080
Speaker 1: that be a Bureau of Labor and Statistics rights employment

503
00:26:48,080 --> 00:26:52,439
Speaker 1: in August and September combined is one hundred and twelve

504
00:26:52,480 --> 00:26:56,439
Speaker 1: thousand lower than previously reported. So do you know what

505
00:26:56,480 --> 00:27:01,840
Speaker 1: that means, folks? Poof one hundred and two thousand jobs disappeared.

506
00:27:02,119 --> 00:27:05,119
Speaker 1: But that's okay because they never existed in the first place.

507
00:27:05,359 --> 00:27:08,520
Speaker 1: Why because they lied to you. I believe this is

508
00:27:08,560 --> 00:27:11,520
Speaker 1: all by design, just like the crime numbers telling us

509
00:27:11,520 --> 00:27:15,040
Speaker 1: that crime had fallen. Then quietly, they raise the numbers

510
00:27:15,080 --> 00:27:18,439
Speaker 1: back up, and lo and behold, crime goes up. To me,

511
00:27:18,560 --> 00:27:21,880
Speaker 1: this is a horrible sign for the economy. I want

512
00:27:21,920 --> 00:27:24,560
Speaker 1: to bring in now, director of the Heritage Foundation Center

513
00:27:24,560 --> 00:27:27,240
Speaker 1: for the Federal Budget, Richard Stern, is back with us. Richard,

514
00:27:27,240 --> 00:27:31,199
Speaker 1: great to see you, Ratzenia, as always, thank you. I

515
00:27:31,280 --> 00:27:33,720
Speaker 1: think the big story here, Richard, is not that it

516
00:27:33,800 --> 00:27:36,720
Speaker 1: was such a bad number, which it was, but that

517
00:27:36,800 --> 00:27:39,440
Speaker 1: they hid the last two months, that the last two

518
00:27:39,440 --> 00:27:41,040
Speaker 1: months were even worse.

519
00:27:42,480 --> 00:27:44,760
Speaker 13: Oh absolutely, I mean, I think you hit the nail

520
00:27:44,840 --> 00:27:46,840
Speaker 13: right on the head there. In fact, what they said

521
00:27:46,960 --> 00:27:50,800
Speaker 13: was that more than half, more than half of the

522
00:27:50,880 --> 00:27:55,640
Speaker 13: jobs they claimed they're created in August were complete peer fantasy. Overall,

523
00:27:55,840 --> 00:27:59,080
Speaker 13: it's about twenty seven percent of the jobs that they

524
00:27:59,119 --> 00:28:01,760
Speaker 13: claimed in August September for pure fantasy.

525
00:28:02,000 --> 00:28:03,800
Speaker 3: But I'll give you one that's even better on this.

526
00:28:04,280 --> 00:28:06,800
Speaker 13: Just a couple months ago, the Bureau of Labor CISTI

527
00:28:06,960 --> 00:28:10,320
Speaker 13: said that they had misrepresented the number of jobs created

528
00:28:10,640 --> 00:28:14,200
Speaker 13: by over eight hundred thousand jobs.

529
00:28:14,520 --> 00:28:15,120
Speaker 1: And in their.

530
00:28:15,080 --> 00:28:18,200
Speaker 13: Report they clearly layered out laid on where their error

531
00:28:18,240 --> 00:28:21,520
Speaker 13: came from, which was that they were missing billions and

532
00:28:21,640 --> 00:28:25,640
Speaker 13: billions of dollars of fraudulent payments going to shell companies

533
00:28:25,640 --> 00:28:28,479
Speaker 13: that don't even exist. Now, you me, anybody else who

534
00:28:28,480 --> 00:28:30,840
Speaker 13: looks at the data would have said, Okay, well, I

535
00:28:30,840 --> 00:28:32,840
Speaker 13: don't believe you that you didn't capture us. But now

536
00:28:32,880 --> 00:28:35,800
Speaker 13: that you've admitted you called this, you're not going to

537
00:28:35,920 --> 00:28:38,720
Speaker 13: keep lying to us, right, and here we go again.

538
00:28:38,880 --> 00:28:42,720
Speaker 1: I mean, you can't make this stuff up. No, you can't.

539
00:28:43,720 --> 00:28:46,000
Speaker 1: And in fact, when you look at this, though, I'm

540
00:28:46,040 --> 00:28:48,880
Speaker 1: going to take some good news out of what happened today.

541
00:28:49,040 --> 00:28:52,520
Speaker 1: All Right, The TAO is up almost three hundred points.

542
00:28:52,560 --> 00:28:54,800
Speaker 1: I think it closed two hundred and eighty eight points up.

543
00:28:54,880 --> 00:28:58,520
Speaker 1: In any other time that DAO would have tumbled with

544
00:28:58,640 --> 00:29:01,840
Speaker 1: numbers like this, But I think traders saw this as

545
00:29:01,880 --> 00:29:05,000
Speaker 1: such bad news that it would tell the American people

546
00:29:05,120 --> 00:29:10,120
Speaker 1: our economy is literally in despair President Trump, we need

547
00:29:10,200 --> 00:29:13,280
Speaker 1: him back to rescue us. And it goes up because

548
00:29:13,280 --> 00:29:15,160
Speaker 1: of the bad news because they think it's going to

549
00:29:15,160 --> 00:29:17,240
Speaker 1: be a sign that President Trump's going to come back in.

550
00:29:17,360 --> 00:29:20,000
Speaker 13: Do you think I'm wrong, Richard, Well, I think you're

551
00:29:20,000 --> 00:29:22,960
Speaker 13: absolutely right. So the joke I've had with my friends

552
00:29:23,480 --> 00:29:27,200
Speaker 13: is that the betting odd markets on the election suspiciously

553
00:29:27,320 --> 00:29:29,040
Speaker 13: follow the stock market numbers.

554
00:29:29,280 --> 00:29:30,520
Speaker 3: I think it's exactly what it is.

555
00:29:30,520 --> 00:29:33,640
Speaker 13: You've got one candidate who is a business owner, who

556
00:29:33,680 --> 00:29:36,440
Speaker 13: when he was in office, gave us the lowest unemployment

557
00:29:36,520 --> 00:29:40,760
Speaker 13: rates in a half century, highest income real wage growth

558
00:29:40,800 --> 00:29:44,760
Speaker 13: for workers at all income stratas. The other candidate, on

559
00:29:44,800 --> 00:29:49,400
Speaker 13: the other hand, is talking about taxing wealth, taxing small

560
00:29:49,440 --> 00:29:52,960
Speaker 13: businesses to redirect the ownership of them into the hands

561
00:29:52,960 --> 00:29:56,040
Speaker 13: of government bureaucrats. I think there's no question here why

562
00:29:56,120 --> 00:29:59,120
Speaker 13: the stock numbers are tracking the polling numbers.

563
00:30:00,120 --> 00:30:03,680
Speaker 1: Yeah, and the betting markets, as you point out, are

564
00:30:03,760 --> 00:30:06,840
Speaker 1: doing very well for President Trump. In fact, I bought,

565
00:30:06,960 --> 00:30:08,920
Speaker 1: I'm going to tell you right now, I already bought

566
00:30:08,920 --> 00:30:11,240
Speaker 1: into some of these betting markets. I bet he would

567
00:30:11,280 --> 00:30:14,240
Speaker 1: win the popular vote, and I did that at thirty

568
00:30:14,280 --> 00:30:17,320
Speaker 1: three percent. So that's basically betting thirty three dollars to

569
00:30:17,360 --> 00:30:19,520
Speaker 1: win one hundred that he wins the popular vote. I

570
00:30:19,560 --> 00:30:21,280
Speaker 1: actually think that was a very good bet here, because

571
00:30:21,280 --> 00:30:23,320
Speaker 1: there's a chance he could win that. Let me play

572
00:30:23,360 --> 00:30:25,840
Speaker 1: a clip from your President Trump today talking about these

573
00:30:25,920 --> 00:30:28,640
Speaker 1: job reports and what he thinks it means. But we

574
00:30:28,720 --> 00:30:29,760
Speaker 1: have breaking news.

575
00:30:29,840 --> 00:30:33,440
Speaker 10: It's actually bad news. It's only good for one thing.

576
00:30:34,200 --> 00:30:37,640
Speaker 14: If you happen to be running against the stupid fools

577
00:30:37,720 --> 00:30:41,520
Speaker 14: that created this news, it's bad news, bad news for

578
00:30:41,640 --> 00:30:42,280
Speaker 14: the country.

579
00:30:42,960 --> 00:30:44,880
Speaker 1: Who's just announced a little while.

580
00:30:44,640 --> 00:30:50,120
Speaker 14: Ago that brand new jobs report proved decisively that Kamala

581
00:30:50,160 --> 00:30:55,360
Speaker 14: Harris and Crooked Joe have driven our economy off a cliff.

582
00:30:57,240 --> 00:31:01,120
Speaker 1: Richard. The other part to this is without government jobs,

583
00:31:01,920 --> 00:31:04,719
Speaker 1: we lose jobs this last month, don't we.

584
00:31:05,920 --> 00:31:09,640
Speaker 13: Absolutely. The private sector lost twenty eight thousand jobs. You know,

585
00:31:09,760 --> 00:31:14,440
Speaker 13: manufacturing alone lost forty six thousand jobs. And you know,

586
00:31:14,480 --> 00:31:17,560
Speaker 13: whenever you see a government job created, I want you

587
00:31:17,600 --> 00:31:20,760
Speaker 13: to think two things. One that it's paid for by

588
00:31:20,840 --> 00:31:24,440
Speaker 13: inflationary dollar printing at the FED, which means those aren't

589
00:31:24,520 --> 00:31:28,320
Speaker 13: jobs created. They are jobs borrowed from the future, and

590
00:31:28,360 --> 00:31:30,640
Speaker 13: you will see it as negative job growth in a

591
00:31:30,680 --> 00:31:31,640
Speaker 13: future job reboard.

592
00:31:32,040 --> 00:31:33,480
Speaker 3: And the second thing I wanted.

593
00:31:33,240 --> 00:31:36,560
Speaker 13: To think is most of those government workers exist to

594
00:31:36,840 --> 00:31:41,080
Speaker 13: regulate everybody else in the country. These are, largely speaking,

595
00:31:41,200 --> 00:31:45,560
Speaker 13: not jobs where people are producing service for their fellow countrymen.

596
00:31:45,840 --> 00:31:49,760
Speaker 13: They are in fact negatively productive. They are inhibiting other

597
00:31:49,840 --> 00:31:53,320
Speaker 13: Americans from producing for the rest of us and creating

598
00:31:53,400 --> 00:31:54,720
Speaker 13: jobs for the rest of us.

599
00:31:55,200 --> 00:31:57,760
Speaker 1: You know you raise such a great point as a

600
00:31:57,800 --> 00:32:01,800
Speaker 1: business owner myself. Government and is never telling me here's

601
00:32:01,840 --> 00:32:04,719
Speaker 1: what you can do. It's always telling me here's what

602
00:32:04,800 --> 00:32:07,800
Speaker 1: you can't do. They're like lawyers. I hate lawyers are

603
00:32:07,800 --> 00:32:09,440
Speaker 1: always trying to tell me what I can't do. I

604
00:32:09,480 --> 00:32:12,120
Speaker 1: want lawyers to tell me what I can do. Let's succeed,

605
00:32:12,280 --> 00:32:15,760
Speaker 1: Let's go out there and expand our horizons. That's not

606
00:32:15,840 --> 00:32:17,920
Speaker 1: what government does today. There was a time, I wonder,

607
00:32:18,000 --> 00:32:20,840
Speaker 1: way back when when government was good. It's not that

608
00:32:20,880 --> 00:32:23,000
Speaker 1: way anymore. It really isn't. And it's sad. It's just

609
00:32:23,040 --> 00:32:26,440
Speaker 1: gotten absolutely too big. As the head of the Federal

610
00:32:26,480 --> 00:32:30,160
Speaker 1: Budget Division over there at the Heritage Foundation knows, Richard Stern,

611
00:32:30,240 --> 00:32:32,880
Speaker 1: thank you for coming on tonight. What was a pleasure.

612
00:32:32,880 --> 00:32:36,920
Speaker 1: Thank you for having me on absolutely And look, folks,

613
00:32:37,320 --> 00:32:41,040
Speaker 1: take this information. Spread it to all of your friends

614
00:32:41,040 --> 00:32:43,240
Speaker 1: that are If you have anyone on the fence about

615
00:32:43,240 --> 00:32:45,360
Speaker 1: who they're going to vote for right now, you got

616
00:32:45,360 --> 00:32:47,160
Speaker 1: to kick them in the teeth. How are you on

617
00:32:47,240 --> 00:32:49,520
Speaker 1: the fence right now? With everything that we do. And

618
00:32:49,560 --> 00:32:53,400
Speaker 1: people wonder why I have anxiety, This is it. I

619
00:32:53,440 --> 00:32:55,440
Speaker 1: got a lot of anxiety too right now leading up

620
00:32:55,440 --> 00:32:59,160
Speaker 1: to the Tuesday, but we'll make it happen. All right, folks,

621
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Speaker 1: listen to me. Trump tumblr dot com is bringing you

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Speaker 1: twenty four hours. How does it know, as Seinfeld says,

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Speaker 1: Head over to Trump tumblr dot com to claim yours

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Speaker 1: today before they run out. All right, it's Friday. We

636
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Speaker 1: haven't had some regular shows lately, but we got our

637
00:33:53,120 --> 00:33:56,160
Speaker 1: body language segment next. All right, it's a stick around.

638
00:33:56,200 --> 00:34:09,200
Speaker 1: Greg Hartley is here. All right, folks, it is that

639
00:34:09,360 --> 00:34:11,920
Speaker 1: time for our body language segment of the week. It's

640
00:34:11,920 --> 00:34:15,120
Speaker 1: been too long since we've had one. Let's start with

641
00:34:15,320 --> 00:34:19,560
Speaker 1: Hugh Hewitt, a fellow colleague of mine over at Salem Radio,

642
00:34:19,600 --> 00:34:21,920
Speaker 1: who storms off the set. Well, do we get interview

643
00:34:22,000 --> 00:34:24,759
Speaker 1: with the Washington Post? And then we'll bring in military

644
00:34:24,920 --> 00:34:29,120
Speaker 1: interrogator and body language expert Greg Hartley. Roll, Hugh Hewitt.

645
00:34:29,440 --> 00:34:31,880
Speaker 1: We are newspeople, even though we have opinions, and we

646
00:34:32,000 --> 00:34:33,880
Speaker 1: have to report the whole story. If we bring up

647
00:34:33,960 --> 00:34:34,880
Speaker 1: part of the story.

648
00:34:35,239 --> 00:34:38,120
Speaker 9: So, yes, he's upset about Bucks County, but he was

649
00:34:38,320 --> 00:34:39,960
Speaker 9: right and he won in court.

650
00:34:40,360 --> 00:34:46,520
Speaker 1: That's the story. I'll let you keep going, Jonathan.

651
00:34:47,840 --> 00:34:52,400
Speaker 11: No, I'm just I don't appreciate being lectured about reporting

652
00:34:52,480 --> 00:34:55,480
Speaker 11: when you many times you come here saying lots of

653
00:34:55,560 --> 00:34:56,920
Speaker 11: things that aren't.

654
00:34:56,960 --> 00:35:01,040
Speaker 1: I won't come back back, but I'm done. This is

655
00:35:01,080 --> 00:35:03,960
Speaker 1: the most unfair election at I have ever been a

656
00:35:04,000 --> 00:35:04,319
Speaker 1: part of.

657
00:35:04,360 --> 00:35:06,200
Speaker 3: You guys are working, that's fine.

658
00:35:06,280 --> 00:35:11,040
Speaker 1: I'm done. I will say something I don't often say

659
00:35:11,040 --> 00:35:13,919
Speaker 1: about my colleague at Salem. I'm proud of you Hewitt.

660
00:35:14,440 --> 00:35:17,560
Speaker 1: Good job, buddy, really, I mean it. Bring in now

661
00:35:17,760 --> 00:35:21,399
Speaker 1: our best buddy at this program from the YouTube show

662
00:35:21,400 --> 00:35:24,720
Speaker 1: the Behavior Panel, Greg Hartley, Greg, Welcome.

663
00:35:25,239 --> 00:35:27,319
Speaker 3: Thanks, Grant Usual I'd love to be here.

664
00:35:27,440 --> 00:35:28,239
Speaker 1: What do you make of that?

665
00:35:29,400 --> 00:35:31,920
Speaker 15: So this is a beautiful example of somebody who's indignant.

666
00:35:32,000 --> 00:35:34,600
Speaker 15: You can't miss the indignation there. Look at his brows

667
00:35:34,640 --> 00:35:35,920
Speaker 15: up at the right time when he's asking you, do

668
00:35:35,920 --> 00:35:37,600
Speaker 15: you get it? His brow is down when he's driving

669
00:35:37,600 --> 00:35:40,600
Speaker 15: his point. His head moves to illustrate his thoughts as

670
00:35:40,640 --> 00:35:43,160
Speaker 15: he says the syllables, and he drives it home when

671
00:35:43,160 --> 00:35:45,960
Speaker 15: he says right. And then if you watch those distaste

672
00:35:46,000 --> 00:35:48,360
Speaker 15: and disapproval in his mouth as he pulls back the sides,

673
00:35:48,840 --> 00:35:51,040
Speaker 15: and then as he really starts to lose it, the

674
00:35:51,080 --> 00:35:54,280
Speaker 15: anchor gets passive aggressive with him. The anchor is saying

675
00:35:54,280 --> 00:35:57,520
Speaker 15: something aggressive but being very passive, raises hands, does a

676
00:35:57,560 --> 00:36:00,560
Speaker 15: regulator to control the conversation, like just stop, and then

677
00:36:00,640 --> 00:36:02,640
Speaker 15: says there's lots of things you come on here often,

678
00:36:02,760 --> 00:36:06,799
Speaker 15: but doesn't mention one that's passive aggressive behavior. And then

679
00:36:07,080 --> 00:36:09,600
Speaker 15: watch the woman and watch your blank rate increase. So

680
00:36:09,760 --> 00:36:12,080
Speaker 15: he's a dignity. It looks like you should be. And

681
00:36:12,120 --> 00:36:14,040
Speaker 15: then if you don't believe it, he gets up and

682
00:36:14,080 --> 00:36:15,040
Speaker 15: leaves his own desk.

683
00:36:17,280 --> 00:36:19,919
Speaker 1: He leaves uself that which is great now you Hewitt

684
00:36:20,040 --> 00:36:22,399
Speaker 1: is not known for this, right, I mean, how bad

685
00:36:22,520 --> 00:36:24,800
Speaker 1: I asked him to be a fighter, more of a fighter.

686
00:36:24,960 --> 00:36:28,960
Speaker 1: This is what I need from him? And is he shocked?

687
00:36:29,080 --> 00:36:31,120
Speaker 1: The anchor? I think he used to work over it

688
00:36:31,239 --> 00:36:35,000
Speaker 1: at NBC. By the way, what's he doing there? What's

689
00:36:35,000 --> 00:36:36,160
Speaker 1: going on in his mind?

690
00:36:37,320 --> 00:36:39,160
Speaker 3: Well, I think he doesn't know how to respond to

691
00:36:39,160 --> 00:36:39,520
Speaker 3: his reason.

692
00:36:39,560 --> 00:36:41,400
Speaker 15: He comes up with everybody's been in an argument with

693
00:36:41,440 --> 00:36:43,040
Speaker 15: someone where you don't have a leg to stand on,

694
00:36:43,160 --> 00:36:45,640
Speaker 15: and you say, but you do a lot of things.

695
00:36:45,719 --> 00:36:47,360
Speaker 15: You do a lot of things. Everybody's been in an

696
00:36:47,440 --> 00:36:49,160
Speaker 15: argument like that. That's exactly what he does.

697
00:36:51,400 --> 00:36:54,040
Speaker 1: Let's go to the next clip that we have, Tim Walls.

698
00:36:54,080 --> 00:36:56,600
Speaker 1: I mean, we could analyze Tim Walls's body language all

699
00:36:56,680 --> 00:36:59,640
Speaker 1: day long, but let's roll this clip. You said over

700
00:36:59,640 --> 00:37:02,280
Speaker 1: the week and referring to it, there's a direct parallel

701
00:37:02,280 --> 00:37:04,240
Speaker 1: to a big rally that happened in the mid nineteen

702
00:37:04,320 --> 00:37:06,719
Speaker 1: thirties that medisine Square Garden. Well, you were comparing that

703
00:37:06,800 --> 00:37:09,080
Speaker 1: rally to a Nazi rally. Look, I'm comparing it to

704
00:37:09,120 --> 00:37:10,399
Speaker 1: the hate that came out of this, and I think

705
00:37:10,400 --> 00:37:12,480
Speaker 1: they confirmed them. You stand by the comparison though, to

706
00:37:12,520 --> 00:37:15,040
Speaker 1: a Nazi rally. Look, the rally. You saw it for yourself.

707
00:37:15,040 --> 00:37:16,920
Speaker 3: I'll let the American public make the decision of what

708
00:37:16,960 --> 00:37:17,319
Speaker 3: they saw.

709
00:37:17,400 --> 00:37:19,319
Speaker 1: What about you, though, So I know what I saw

710
00:37:19,360 --> 00:37:22,880
Speaker 1: and I'll just leave it at that, all right to me?

711
00:37:23,000 --> 00:37:25,040
Speaker 1: That's a hard one to read, Greg, What do you see?

712
00:37:25,640 --> 00:37:27,600
Speaker 15: Oh, I no ice not to me. You see him

713
00:37:27,600 --> 00:37:29,920
Speaker 15: swinging like a chained elephant. I actually refer to that

714
00:37:29,920 --> 00:37:32,359
Speaker 15: as a chained elephant. That's stress relief. When he's called

715
00:37:32,400 --> 00:37:34,439
Speaker 15: on the carpet, he's like a child there. His hands

716
00:37:34,480 --> 00:37:37,000
Speaker 15: are in front of him. Look at those thumbs moving. Typically,

717
00:37:37,000 --> 00:37:39,600
Speaker 15: when men are protecting their genitals, they drop their hands

718
00:37:39,600 --> 00:37:42,160
Speaker 15: down front of their gentitles. That's a stress maneuver. Most

719
00:37:42,239 --> 00:37:44,279
Speaker 15: men do not hold their hand at their abdomen. A

720
00:37:44,280 --> 00:37:46,640
Speaker 15: lot of women will cross their abdomen with their forearm

721
00:37:46,800 --> 00:37:49,440
Speaker 15: when they're feeling stressed. But you see it, and then

722
00:37:49,480 --> 00:37:52,960
Speaker 15: he crowd sources the accusation. Well, the American people saw it.

723
00:37:53,280 --> 00:37:56,160
Speaker 15: This is you don't expect that. I would be like, well, yeah,

724
00:37:56,200 --> 00:37:56,799
Speaker 15: that's what I said.

725
00:37:58,239 --> 00:38:00,719
Speaker 1: It's interesting you said most men don't hold their hands

726
00:38:00,719 --> 00:38:03,239
Speaker 1: at their abdomen. I've actually accused him of being a

727
00:38:03,280 --> 00:38:05,760
Speaker 1: closet something something. But we don't have to talk about

728
00:38:05,840 --> 00:38:10,520
Speaker 1: that today. What about his shoulders is does he just

729
00:38:10,600 --> 00:38:11,239
Speaker 1: stand like that?

730
00:38:11,400 --> 00:38:14,280
Speaker 15: Is that his posture or is he's just his posture.

731
00:38:14,880 --> 00:38:17,120
Speaker 15: We can't read a whole lot into his posture. And he,

732
00:38:17,239 --> 00:38:19,319
Speaker 15: of course is tense because he has to be in

733
00:38:19,360 --> 00:38:19,880
Speaker 15: this situation.

734
00:38:19,920 --> 00:38:20,760
Speaker 3: He's called on something.

735
00:38:20,960 --> 00:38:24,400
Speaker 15: But your best indicator, we call these adapters releasing nervous energy,

736
00:38:24,680 --> 00:38:27,319
Speaker 15: making this self comfortable. Think about why you pace when

737
00:38:27,360 --> 00:38:29,360
Speaker 15: you're nervous. It's a way to burn off that energy.

738
00:38:29,480 --> 00:38:31,280
Speaker 15: And he's doing it while he's standing in place.

739
00:38:32,360 --> 00:38:35,440
Speaker 1: All right, let's play Mark Cuban because he's made a

740
00:38:35,440 --> 00:38:37,719
Speaker 1: lot of news. We talked about him earlier in the

741
00:38:37,800 --> 00:38:41,880
Speaker 1: program about saying the President Trump's intimidated by strong women.

742
00:38:42,239 --> 00:38:44,480
Speaker 1: So I won't play that clip. This is a clip

743
00:38:44,880 --> 00:38:47,920
Speaker 1: with him on News Nation. Made a lot of rounds

744
00:38:47,920 --> 00:38:50,080
Speaker 1: on social media before he had the next gaff but

745
00:38:50,600 --> 00:38:51,320
Speaker 1: roll this clip.

746
00:38:51,760 --> 00:38:54,680
Speaker 16: Trump, the inflation was up twenty five percent over the

747
00:38:54,680 --> 00:38:55,719
Speaker 16: Obama economy.

748
00:38:55,760 --> 00:38:56,400
Speaker 1: He inherited.

749
00:38:56,800 --> 00:38:59,759
Speaker 16: Ask him about yeaming where he decided not to take

750
00:39:00,000 --> 00:39:02,680
Speaker 16: allowed one hundred thousand people to keep on dying. And

751
00:39:02,760 --> 00:39:06,240
Speaker 16: the aimmen talk to him about his tariffs, what worked

752
00:39:06,239 --> 00:39:06,920
Speaker 16: with his tariffs.

753
00:39:07,120 --> 00:39:09,720
Speaker 1: He had four years to make tariffs work with China.

754
00:39:10,000 --> 00:39:16,319
Speaker 1: China kicked his ass. I personally think he's jealous that

755
00:39:16,360 --> 00:39:19,040
Speaker 1: Shark Tank isn't as successful as the Apprentice was. And

756
00:39:19,080 --> 00:39:21,000
Speaker 1: I think he's jealous that maybe Trump gives him a

757
00:39:21,080 --> 00:39:22,920
Speaker 1: run for his money as far as money goes. But

758
00:39:23,160 --> 00:39:24,879
Speaker 1: what do you see here, Greg.

759
00:39:25,000 --> 00:39:26,799
Speaker 15: Well, I see a lot of anger. You see when

760
00:39:26,840 --> 00:39:28,920
Speaker 15: you expose your canines, that's anger. When you expose your

761
00:39:28,920 --> 00:39:32,480
Speaker 15: lower teeth, that's anger. I see that indignant chin thrust.

762
00:39:32,600 --> 00:39:34,560
Speaker 15: He's telling you if you pay much attention to him,

763
00:39:34,600 --> 00:39:36,440
Speaker 15: you'll see contempt rising in the left side of his

764
00:39:36,520 --> 00:39:39,120
Speaker 15: face and even rolls his eyes at one point against

765
00:39:39,480 --> 00:39:40,000
Speaker 15: a rivally.

766
00:39:40,080 --> 00:39:42,239
Speaker 3: So yeah, I think he's animated.

767
00:39:42,560 --> 00:39:44,080
Speaker 15: Can it just stop for a second and say this

768
00:39:44,160 --> 00:39:47,279
Speaker 15: to you, to you watching, you are not going to

769
00:39:47,440 --> 00:39:51,200
Speaker 15: change a person that you know is against your views

770
00:39:51,320 --> 00:39:52,840
Speaker 15: with barbes and insults. You're going to get in a

771
00:39:52,880 --> 00:39:55,200
Speaker 15: pissing contest and you're going to end that relationship. And

772
00:39:55,200 --> 00:39:55,960
Speaker 15: if that's what you want to.

773
00:39:55,960 --> 00:39:56,480
Speaker 1: Do, do it.

774
00:39:56,920 --> 00:39:59,600
Speaker 15: But if somebody is truly, truly on the other side

775
00:39:59,600 --> 00:40:01,920
Speaker 15: of your waist your energy, don't bother, don't get in

776
00:40:01,960 --> 00:40:04,960
Speaker 15: a fight. And people you're watching just a minute, people

777
00:40:05,000 --> 00:40:07,240
Speaker 15: who know violence, people from my past life.

778
00:40:07,800 --> 00:40:09,880
Speaker 3: De escalate situations like that because.

779
00:40:09,680 --> 00:40:11,799
Speaker 15: You're not winning, you're not doing anything good out of it,

780
00:40:11,920 --> 00:40:13,439
Speaker 15: and you're not going to feel better about it later,

781
00:40:13,480 --> 00:40:14,520
Speaker 15: So don't waste your time.

782
00:40:15,560 --> 00:40:17,759
Speaker 1: You know. It's great advice, and I tell people that

783
00:40:17,760 --> 00:40:20,080
Speaker 1: that it's important to change hearts and minds. But you

784
00:40:20,080 --> 00:40:22,520
Speaker 1: don't do it by getting in screaming matches. And you

785
00:40:22,640 --> 00:40:26,160
Speaker 1: have to pick your battles with people that are interested

786
00:40:26,320 --> 00:40:28,400
Speaker 1: in what you have to say. If they're not interested

787
00:40:28,440 --> 00:40:29,920
Speaker 1: in what you have to say and uber supports the

788
00:40:29,960 --> 00:40:32,560
Speaker 1: other time, I'm with you, it isn't worth the energy. Now,

789
00:40:32,600 --> 00:40:35,919
Speaker 1: I will say on my side of things, I say

790
00:40:36,000 --> 00:40:39,040
Speaker 1: things sometimes to stir the pot, and I thrive off confrontation,

791
00:40:39,200 --> 00:40:42,520
Speaker 1: so I welcome it. But in a personal protection situation,

792
00:40:42,760 --> 00:40:44,240
Speaker 1: I de escalate all the time.

793
00:40:45,200 --> 00:40:46,680
Speaker 3: Wait, and you do it for a living.

794
00:40:46,719 --> 00:40:48,600
Speaker 15: There's a difference in what you're doing and a person

795
00:40:48,680 --> 00:40:51,320
Speaker 15: who is working at the copy machine and walking around

796
00:40:51,400 --> 00:40:53,560
Speaker 15: and talking to someone and gets into a shouting match

797
00:40:53,600 --> 00:40:55,680
Speaker 15: with a person that they may need to work with

798
00:40:55,719 --> 00:40:56,399
Speaker 15: the rest of their life.

799
00:40:56,400 --> 00:40:58,120
Speaker 3: This will be the people will still be there when

800
00:40:58,120 --> 00:40:58,600
Speaker 3: this is over.

801
00:40:59,640 --> 00:41:02,360
Speaker 1: You know what's interesting is and I often get approached

802
00:41:02,360 --> 00:41:04,680
Speaker 1: in bars and restaurants and people want to argue with me.

803
00:41:05,200 --> 00:41:07,799
Speaker 1: I don't engage at all, like the escalating. In fact,

804
00:41:07,800 --> 00:41:09,799
Speaker 1: I buy them drinks if that's what they you know,

805
00:41:09,840 --> 00:41:11,560
Speaker 1: if they really are trying to go after me, it's

806
00:41:11,560 --> 00:41:13,200
Speaker 1: the last thing I need. If they're going to try

807
00:41:13,200 --> 00:41:15,920
Speaker 1: to argue with me in a tavern, I will destroy

808
00:41:16,000 --> 00:41:18,479
Speaker 1: their argument. I'm like a Navy seal of political talk,

809
00:41:19,000 --> 00:41:22,799
Speaker 1: so I don't bother arguing with them. Greg Hartley, I

810
00:41:22,880 --> 00:41:25,680
Speaker 1: appreciate you coming on as always. It's good to see you.

811
00:41:25,760 --> 00:41:28,759
Speaker 1: My friend readbody language dot com as his website and

812
00:41:28,840 --> 00:41:32,799
Speaker 1: the YouTube show the behavior panel. Thank you vote go

813
00:41:32,920 --> 00:41:37,959
Speaker 1: vote A men to that great advice. All right, folks,

814
00:41:38,000 --> 00:41:41,040
Speaker 1: we're in a pivotal election year. Twenty twenty four is

815
00:41:41,080 --> 00:41:43,080
Speaker 1: a battle for the soul of America. If you're fed

816
00:41:43,160 --> 00:41:46,279
Speaker 1: up with compromise, it's time to switch to Patreo Mobile. Baby.

817
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Speaker 1: I got a Patriot Mobile phone, America's only Christian conservative

818
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Speaker 1: wireless provider. They have everything you need. Put the logo

819
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Speaker 1: P so we get there where you can find the

820
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Speaker 1: Patreot Mobile. All right, guys, Patriotmobile dot Com forward slash voice.

821
00:42:00,880 --> 00:42:04,880
Speaker 1: I believe it is there. It is right, yes, Patriot

822
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Speaker 1: Mobile dot Com forward slash Voice nine seven two. Patriot

823
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Speaker 1: switching is totally easy, one hundred percent US based customer service. Oh,

824
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Speaker 1: Patriot Mobile dot Com forward slash save USA. I thought

825
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Speaker 1: that was the things for the rallies. But Patriot Mobile

826
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Speaker 1: dot Com forward slast save USA or call nine seven two.

827
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Speaker 1: Patriot now nine seven two. Patriot get a free month

828
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Speaker 1: when you use the offer code save USA. Patriotmobile dot

829
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Speaker 1: Com forward slash Save USA nine seven two. Patriot tell

830
00:42:34,840 --> 00:42:37,680
Speaker 1: them Grantstonsfield sent you. All right. Coming up next, we're

831
00:42:37,680 --> 00:42:39,960
Speaker 1: gonna go out to Trump's rally. Get an update from there.

832
00:42:47,480 --> 00:42:50,920
Speaker 1: So folks, to me, this is a perfect night. It's Friday,

833
00:42:50,960 --> 00:42:53,040
Speaker 1: were a few days from election. I get a full

834
00:42:53,080 --> 00:42:57,239
Speaker 1: Stinsfield show in which I'm so happy, and we get

835
00:42:57,280 --> 00:43:01,760
Speaker 1: a Trump rally on Real America's Voice tonight, nine o'clock

836
00:43:01,880 --> 00:43:05,759
Speaker 1: Eastern time on the ground in Milwaukee, Wisconsin, a very

837
00:43:05,800 --> 00:43:10,240
Speaker 1: important state for President Trump. Is RAP correspondent Tarre Dahl Darrel,

838
00:43:10,320 --> 00:43:11,400
Speaker 1: Welcome to the show.

839
00:43:13,280 --> 00:43:16,200
Speaker 17: Hey Gren, It's great to be with you here in Milwaukee.

840
00:43:17,040 --> 00:43:19,239
Speaker 1: All right, you are in a big arena that is

841
00:43:19,280 --> 00:43:22,280
Speaker 1: the same arena where the ARENC held its convention. Correct,

842
00:43:22,280 --> 00:43:24,280
Speaker 1: How is the crowd? What's the mood?

843
00:43:26,719 --> 00:43:31,200
Speaker 17: Yeah, the crowd is absolutely going wild. We've had amazing

844
00:43:31,280 --> 00:43:35,640
Speaker 17: speakers right now, Senator Ron Johnson is speaking. You just

845
00:43:35,680 --> 00:43:40,280
Speaker 17: had Eric Hubd speak, you had former Governor Scott Walker speak,

846
00:43:40,560 --> 00:43:44,920
Speaker 17: you had Sebastia Gorka spoke, and every single time standing

847
00:43:45,000 --> 00:43:49,040
Speaker 17: ovations the crowd. They've been waiting thousands. This place is

848
00:43:49,080 --> 00:43:52,400
Speaker 17: going to be totally packed and sold out. So people

849
00:43:52,400 --> 00:43:54,759
Speaker 17: are excited. They've been waiting all day to come in

850
00:43:54,840 --> 00:43:59,040
Speaker 17: and you just had an amazing lineup of speakers tonight.

851
00:44:00,080 --> 00:44:02,399
Speaker 1: Well, they've been calling out the A list for all

852
00:44:02,400 --> 00:44:06,320
Speaker 1: of these rallies really to get big speakers out. President

853
00:44:06,320 --> 00:44:09,200
Speaker 1: Trump certainly puts on a show. As I mentioned before,

854
00:44:09,280 --> 00:44:12,000
Speaker 1: you're in Wisconsin. This is a very very important state.

855
00:44:12,120 --> 00:44:15,400
Speaker 1: Eric Hovvey was running for Senate against Tammy Baldwin, who

856
00:44:15,520 --> 00:44:20,719
Speaker 1: is a radical, believes in women competing against men and

857
00:44:20,760 --> 00:44:24,120
Speaker 1: all kinds of things. He's up by one percent, I believe.

858
00:44:24,640 --> 00:44:27,480
Speaker 1: How is President Trump doing in Wisconsin? What do you

859
00:44:27,560 --> 00:44:29,160
Speaker 1: expect from him in that state?

860
00:44:31,640 --> 00:44:34,880
Speaker 17: Well, just tonight the Rastminston poll came out and he's

861
00:44:35,000 --> 00:44:38,080
Speaker 17: up point or up three points here in Wisconsin. This

862
00:44:38,200 --> 00:44:40,840
Speaker 17: morning there were polls that he had was up point

863
00:44:40,880 --> 00:44:44,480
Speaker 17: three one point and now he's up three points. So

864
00:44:44,880 --> 00:44:47,880
Speaker 17: it's looking good in Wisconsin, Grant and just talking, I

865
00:44:47,880 --> 00:44:51,120
Speaker 17: had an opportunity to interview Senator Johnson and they were

866
00:44:51,160 --> 00:44:54,279
Speaker 17: saying too, it's looking good for Wisconsin. I interviewed the

867
00:44:54,360 --> 00:44:56,880
Speaker 17: head of the GOP here. He said it's looking good

868
00:44:56,920 --> 00:44:59,880
Speaker 17: for Wisconsin as well. So I think the turnout has

869
00:44:59,880 --> 00:45:00,840
Speaker 17: been and really good.

870
00:45:00,920 --> 00:45:01,760
Speaker 1: I think early.

871
00:45:01,600 --> 00:45:03,880
Speaker 17: Voting has been really good, which is a great sign

872
00:45:03,920 --> 00:45:07,080
Speaker 17: for the GOP. But we'll see, but it's looking really

873
00:45:07,080 --> 00:45:09,359
Speaker 17: good I think for Wisconsin for Trump to take it.

874
00:45:10,239 --> 00:45:12,560
Speaker 1: So the people you're talking to there, Tara, most of

875
00:45:12,600 --> 00:45:16,400
Speaker 1: them say they voted early.

876
00:45:16,480 --> 00:45:17,479
Speaker 10: About half and half.

877
00:45:17,520 --> 00:45:19,600
Speaker 17: We were asking people in the crowd today and it

878
00:45:19,640 --> 00:45:22,200
Speaker 17: was about half and half. So some voted early and

879
00:45:22,560 --> 00:45:25,680
Speaker 17: some were waiting on election day to vote. But I'll

880
00:45:25,719 --> 00:45:27,800
Speaker 17: tell you one of the big issues I was watching

881
00:45:27,800 --> 00:45:30,359
Speaker 17: the local news this morning, Grant, and I'll tell you

882
00:45:30,400 --> 00:45:33,800
Speaker 17: they are really focusing on the women the vote on abortion,

883
00:45:33,960 --> 00:45:37,880
Speaker 17: that they're really hitting that issue hard here. Abortion is

884
00:45:37,920 --> 00:45:41,640
Speaker 17: in the top three issues with crime. With the economy

885
00:45:41,760 --> 00:45:46,000
Speaker 17: is definitely number one by far, but crime, abortion, the economy,

886
00:45:46,560 --> 00:45:47,759
Speaker 17: and immigration.

887
00:45:49,080 --> 00:45:51,640
Speaker 1: I think the reason they do that is because it's

888
00:45:51,680 --> 00:45:55,399
Speaker 1: the only issue they have and that they can win

889
00:45:55,520 --> 00:45:59,200
Speaker 1: at with their supporters who believe in that issue, believe

890
00:45:59,280 --> 00:46:02,680
Speaker 1: in abortion. Of all those things that we don't, that's

891
00:46:02,880 --> 00:46:05,759
Speaker 1: their only issue they got, and so I think that's

892
00:46:05,760 --> 00:46:07,480
Speaker 1: why they hit it, because they certainly don't have the

893
00:46:07,520 --> 00:46:11,319
Speaker 1: issues on the other stuff. Tara Doll, I appreciate you

894
00:46:11,360 --> 00:46:13,799
Speaker 1: coming on. You've been working hard for real America's voice.

895
00:46:13,800 --> 00:46:16,360
Speaker 1: We so appreciate it. And I'm sure I'm going to

896
00:46:16,400 --> 00:46:18,600
Speaker 1: see you at the next Trump rally. We only probably

897
00:46:18,680 --> 00:46:21,200
Speaker 1: have a few of them, three or four left before Tuesday,

898
00:46:21,440 --> 00:46:22,319
Speaker 1: but we'll see you soon.

899
00:46:23,239 --> 00:46:24,359
Speaker 7: Yeah.

900
00:46:24,480 --> 00:46:26,040
Speaker 17: Thanks grant a good night.

901
00:46:26,200 --> 00:46:29,600
Speaker 1: Thanks Thanks Terry, you too. All right, folks. As I mentioned,

902
00:46:29,640 --> 00:46:31,959
Speaker 1: President Trump is set to speak in Milwaukee at nine

903
00:46:32,160 --> 00:46:34,520
Speaker 1: Eastern time. The guys at Studio six B will take

904
00:46:34,560 --> 00:46:36,600
Speaker 1: you into that, but we got one more segment left.

905
00:46:36,719 --> 00:46:47,800
Speaker 1: Stick with me, folks. Trump derangement syndrome is very real.

906
00:46:48,160 --> 00:46:50,160
Speaker 1: Watch this. How are you today?

907
00:46:50,400 --> 00:46:50,880
Speaker 15: I'm great?

908
00:46:51,880 --> 00:46:52,359
Speaker 10: How are you?

909
00:46:52,480 --> 00:46:55,560
Speaker 1: I'm okay, I'm doing you good, yes, sir, thank you

910
00:46:55,640 --> 00:46:57,720
Speaker 1: very much. You live in this neighborhood, it doesn't matter.

911
00:46:58,200 --> 00:46:59,680
Speaker 3: You shouldn't be in this neighborhood.

912
00:47:00,239 --> 00:47:02,520
Speaker 10: Yeah, yeah, do you have Johndice or something?

913
00:47:02,960 --> 00:47:04,040
Speaker 1: I shouldn't be in this name?

914
00:47:04,200 --> 00:47:04,840
Speaker 10: What Nazi?

915
00:47:05,120 --> 00:47:05,600
Speaker 3: Go home?

916
00:47:05,760 --> 00:47:10,239
Speaker 10: All right, you Nazi pieces, all right, go home.

917
00:47:10,440 --> 00:47:13,000
Speaker 7: Stop shaking your hands, go home, because I want to

918
00:47:13,160 --> 00:47:14,920
Speaker 7: step back, step back.

919
00:47:16,680 --> 00:47:19,080
Speaker 1: They're so nice, aren't they all part of that Party

920
00:47:19,080 --> 00:47:22,040
Speaker 1: of Joy. That gentleman was holding a Trump sign and

921
00:47:22,080 --> 00:47:25,480
Speaker 1: the not so gentlemanly guy was obviously going after him

922
00:47:25,520 --> 00:47:28,319
Speaker 1: for it. This is the difference between their party and ours.

923
00:47:28,360 --> 00:47:30,560
Speaker 1: I could care less if you hold a Kamala Harris sign.

924
00:47:30,760 --> 00:47:32,920
Speaker 1: I might look at you like you're probably an idiot,

925
00:47:33,360 --> 00:47:36,080
Speaker 1: but I'm not gonna approach you. It's free country. Do

926
00:47:36,160 --> 00:47:39,160
Speaker 1: whatever you want. But again, that's the difference between us

927
00:47:39,200 --> 00:47:42,960
Speaker 1: and them. All right, folks, we got one weekend President Trump.

928
00:47:43,120 --> 00:47:46,000
Speaker 1: I said three or four rallies. How about twelve to

929
00:47:46,000 --> 00:47:49,719
Speaker 1: fifteen rallies leading up to election day? This man never stops.

930
00:47:50,160 --> 00:47:53,239
Speaker 1: Go vote for him. I'm Grant Stenchfield, Stenchfield's army role.

931
00:47:53,320 --> 00:47:53,919
Speaker 10: See him Monday