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Speaker 1: Throughout human history, there have been defining moments, points in

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Speaker 1: time that etch themselves into our memories and shape the

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Speaker 1: course of our future.

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Speaker 2: Violent rev family tonight is one of those moments. First,

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Speaker 2: they tried to silence him.

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Speaker 3: After close review of the President's recent tweet, it banned him.

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Speaker 4: Then they raided his home FBIRA at Donald Trump's Marlago residence.

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Speaker 2: Then they tried to bankrupt him three hundred and fifty

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Speaker 2: million dollars civil penalty. They even tried to lock him away.

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Speaker 5: Six hundred and forty one years in prison.

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Speaker 1: But tonight the nation speaks, welcome to history and the making.

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Speaker 5: Less in twenty twenty four.

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Speaker 6: Do you know how people would give anything to be

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Speaker 6: in a moment to make history.

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Speaker 7: GOP divisions are voting and are voting straws.

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Speaker 3: All the momentum is heading President Trump's directions.

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Speaker 5: This is not twenty twenty. It is looking very good

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Speaker 5: for president. But we will make America right again.

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Speaker 1: Election coverage twenty twenty four on Real Loved America's Voice.

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Speaker 2: He starts now.

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Speaker 8: My panel and this is rundown starting with you, Audie,

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Speaker 8: what are you looking for?

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Speaker 4: Obviously there's so much, but like, just give me one

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Speaker 4: I would say that twenty twenty was a historic turnout,

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Speaker 4: I mean, the highest since the nineteen hundreds. So if

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Speaker 4: it doesn't match that, who stayed home and why? And

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Speaker 4: I think so many of our questions will come to that,

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Speaker 4: which group stayed home and why?

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Speaker 9: Donald Trump has been running for two years, Kamala Harris

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Speaker 9: has been running for one hundred and seventy one hundred

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Speaker 9: and seven days. So one of my big questions is

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Speaker 9: particularly with her candidacy, is whether that was just enough

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Speaker 9: time to introduce herself to the country and to candidates

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Speaker 9: who weren't So we're dead set on I think vote

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Speaker 9: in part Democrat wasn't so sure about him, or whether

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Speaker 9: she could have used a little bit more time.

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Speaker 10: Pennsylvania and in the particular county here that is very

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Speaker 10: important is Philadelphia County.

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Speaker 11: There are asked himates that because of the.

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Speaker 10: Depressed, it early vote for Democrats that Kaala Harris is

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Speaker 10: going to need to pull seven hundred thousand votes.

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Speaker 5: Here in Philadelphia in order to pull out away.

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Speaker 10: Let's take a look at the historic vote here. Hillary

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Speaker 10: Clinton got five hundred and sixty thousand votes in Philadelphia

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Speaker 10: in twenty sixteen. In twenty twenty Joe Biden got six

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Speaker 10: hundred and three thousand, so she's going to need another

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Speaker 10: one hundred thousand votes here in Philadelphia to hit that

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Speaker 10: seven hundred thousand margin.

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Speaker 3: Okay, welcome, we're here at Real America's Voice election night coverage.

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Speaker 5: Stephen K. Banner from the War Room.

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Speaker 3: I want to introduce my Washington co Host's got Natalie Winners,

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Speaker 3: a co host of the War Room, and of course

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Speaker 3: the great John Solomon.

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Speaker 5: Natalie, John. We're going to have a long night tonight.

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Speaker 11: But but not as long as you think.

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Speaker 3: Though maybe thank God willing Natalie right there, Dana Bash,

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Speaker 3: What is Dana Bash Saying's she's channeling Steve Beannon that

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Speaker 3: that that Kamala Harris is ill formed and didn't have

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Speaker 3: enough time to make an impression and didn't stuck to

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Speaker 3: one thing it was hammering. Is she is she given

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Speaker 3: her air cover already for a defeat?

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Speaker 12: I mean that's what you see NonStop, whether it's CNN, MSNBC,

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Speaker 12: you basically see a rotating cast of guests trying to

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Speaker 12: I think, really pawn off how they've essentially already seated

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Speaker 12: a lot of not just the early vote, but I

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Speaker 12: think Republican turnout a one point two million lead in

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Speaker 12: the state of Florida. But you know why I think

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Speaker 12: this is so traumatic and triggering to them, because this audience,

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Speaker 12: this show, MAGA has given them a masterclass and what

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Speaker 12: democracy means through organizing, through early voting. We took what

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Speaker 12: they lectured us on and we applied it. Whether it

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Speaker 12: was Kevin McCarthy or these early vote turnouts, it's a

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Speaker 12: win for the posse.

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Speaker 5: Okay, it's a populist of revolt. Tonight, we're going to

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Speaker 5: go through all of it. Let's go to Boris.

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Speaker 3: Epstein joins us, one of the president's closest advisors. You've

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Speaker 3: got John Solomon, Natalie Winner, Stephen K. Beannon here on

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Speaker 3: the rooftop of the Willard Hotel.

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Speaker 5: Boris what he got for.

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Speaker 13: Us, Steve. Honored to be with you, coming into direct

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Speaker 13: from mar Lago, it is still Epstein. I know you

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Speaker 13: do a little hot to practice during your vacation, but

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Speaker 13: it is still Epstein, just exactly for you.

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Speaker 14: It's an honor to be with you, honor to be

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Speaker 14: with the audience.

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Speaker 13: This is very simple. This is probably simplest war room

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Speaker 13: appearance I've ever done, and I probably don't tout, Go vote.

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Speaker 13: That's it. Go vote, ring everyone you know, hell everyone

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Speaker 13: you know, and go vote. We are dominating this rate dominating.

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Speaker 13: But we have got to not walk, not run. We've

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Speaker 13: got to sprint through the finish line and we're gonna

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Speaker 13: win this thing. We are competitive all across the country.

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Speaker 13: President Trump is dominating this race in all the battlegrounds Wisconsin, Michigan,

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Speaker 13: but Slavania, North Carolina, and Georgia, Nevada, Arizona. There's great

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Speaker 13: numbers coming out of New Jersey, in New York.

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Speaker 14: This race is hours to window. We've got to win it,

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Speaker 14: and we can win it only because you go vote,

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Speaker 14: You bring everyone you know the vote, and then we're

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Speaker 14: going to bring this home. We'll go make America great again.

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Speaker 14: President Trump will make America great again, which is not

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Speaker 14: a spoken it is.

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Speaker 11: An action item.

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Speaker 5: Boris. You know, we've had everybody all day. We're going

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Speaker 5: to get back to that.

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Speaker 3: But what you're telling me is that this is more

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Speaker 3: than the battleground states.

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Speaker 5: You're seeing a surge.

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Speaker 3: Are you seeing a surge across the country in states

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Speaker 3: that heretofore have not been thought of in play, like

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Speaker 3: New Jersey and maybe even New Hampshire.

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Speaker 13: Absolutely seeing a surgeon New Hampshire and they're going to

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Speaker 13: turnout for gd dances of that.

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Speaker 14: There's in the last forty eight hours.

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Speaker 13: Huge search there surgeon Nevada, which people thought was gone

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Speaker 13: for Republican surgeon where he served in surge in New Mexico, Minnesota, Colorado.

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Speaker 13: But that's surge will only continue if we're right now

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Speaker 13: at five ten east there five ten, you are plenty

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Speaker 13: of time to vote all across the country. You go

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Speaker 13: out there and you vote. You bring your family, you

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Speaker 13: bring your friends, you bring everyone you know.

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Speaker 5: And you vote.

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Speaker 13: Vote, vote, and then we're.

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Speaker 14: Going to win this thing and.

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Speaker 13: President Trump will be back in the Oval Office and

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Speaker 13: you will stay of America and the world. Go vote.

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Speaker 5: Boris. Social media people want to follow you tonight. Where

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Speaker 5: do they go?

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Speaker 13: No doubt about it. Last night I was proud to

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Speaker 13: post the picture of Trump Force one as we landed

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Speaker 13: in Grand Rapids, Michigan for President Trump's the last rally

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Speaker 13: that went from midnight until later than two in the morning.

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Speaker 13: President Trump delivering a powerhouse posing message to America that

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Speaker 13: Kamala Harris Lyon, Kamala Harrison Cook and Joe Biden and

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Speaker 13: broken our country, President Trump will fix it hot on

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Speaker 13: Twitter at words if you had them, get our boys

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Speaker 13: to be socially forth and the Hottison mcgram fourth on

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Speaker 13: the score episode Space Strong, gop left, all offense and

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Speaker 13: most importantly, go vote.

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Speaker 3: Thank you brother, get out the vote. John Solomon and

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Speaker 3: Natalie You guys have been doing this for John. You

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Speaker 3: for decades, Natalie for a couple of three years. The

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Speaker 3: we're hearing obviously.

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Speaker 5: We got people in the field, we're going to talk

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Speaker 5: about that. But the media, we started with Dana Bash.

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Speaker 3: Yeah, Dana Bash sitting there going well, she didn't have

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Speaker 3: enough time to open herself.

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Speaker 5: They know behind the scenes what's going on, John Solomon.

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Speaker 11: That is a reaction of a new zoom that just

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Speaker 11: got it's extu pole briefing. Wave two.

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Speaker 8: So Wave one comes around midday, Wave two comes around

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Speaker 8: three or four o'clock. They know that Kamala Harrison underperformed

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Speaker 8: in the early vote, She's underperforming in the day vote

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Speaker 8: in the states that are going to decide this election,

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Speaker 8: and they're preparing the audience for what's likely going to

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Speaker 8: happen tonight, which is it's going to be adult.

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Speaker 5: She had the long face you're saying they already they are.

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Speaker 8: They're also using the code words, which is this is

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Speaker 8: a race of who stayed home. In other words, Kamala Harris,

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Speaker 8: who had to get her vote out, didn't get a vote.

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Speaker 8: I've been in those news zooms when those exit polls

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Speaker 8: come in. I know exactly what's going on there. There

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Speaker 8: are three rules I always had. I was an election

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Speaker 8: analyst for a long time at AP, and I had

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Speaker 8: three rules.

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Speaker 5: The first rule was Guam.

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Speaker 8: Gwam's the earliest account after Dixell Notch, and if a

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Speaker 8: Democrat was below ten percent in Guam, it's a good

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Speaker 8: night for Republicans. Kamala Harris has the worst record in

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Speaker 8: Gwam of any Democrat president in twenty five years.

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Speaker 5: Only how do you get a bad record in Guam?

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Speaker 5: As a Democrat?

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Speaker 11: Tells you. It tells you that people don't know who

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Speaker 11: she is.

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Speaker 5: Even the Glomanians don't know who she is.

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Speaker 8: That's right, that's right. Gwam's bad. That's a really bad

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Speaker 8: sign for tonight. The second thing, the exit polls come

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Speaker 8: in and you see what are the issues defined. The

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Speaker 8: early exit polls are showing that Donald Trump's issues are

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Speaker 8: dominating this election.

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Speaker 11: That's a great sign.

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Speaker 8: And then you go to the turnout models, and right now,

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Speaker 8: Donald Trump's turnout model early and day of is outstanding,

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Speaker 8: and the Senate candidates turnout models, particularly Eric hovedeep in Wisconsin,

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Speaker 8: Ohio is going to be a good night. I think

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Speaker 8: for Republicans, they're turning out in a really good way.

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Speaker 8: And that's why you saw a long based on Dana

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Speaker 8: Bash and that sort of code words that CNN was using.

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Speaker 3: So Jonathan Allen Natalie a little while ago tweeted that

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Speaker 3: he could quote unquote see a trifecta since since we

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Speaker 3: know there's no shot for the Democrats that win the Senate,

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Speaker 3: Jonathan Allen at NBC News is he also sent.

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Speaker 5: In a signal that they know what's going on.

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Speaker 12: Well, look, I think the rage and meltdown coming from

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Speaker 12: the mainstream media is also personal in the sense that

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Speaker 12: you saw this election cycle be so heavily dominated by

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Speaker 12: alternative media platforms. I'm not just talking about Warren, but

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Speaker 12: alternative podcast appearances and the typical playbook of having Jeffrey

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Speaker 12: Goldberg smear this audience and President Trump is Hitler and

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Speaker 12: fascists and Nazis.

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Speaker 5: It didn't work. So I think they're coming to terms.

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Speaker 12: They're coming to grips, frankly with their irrelevance, and frankly,

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Speaker 12: I think when you look at what happened in twenty sixteen,

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Speaker 12: you're looking at a Brexit style victory where like they

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Speaker 12: just say, we're breaking they said, we're looking at a

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Speaker 12: post partisan political structure. That was on MSNBC just an

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Speaker 12: hour ago, which is the reorientation of the political struct

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Speaker 12: sure in this country that's not rooted in Democrats and Republicans.

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Speaker 12: Thank God, Good riddance of people like Liz Cheney and

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Speaker 12: Adam Kinzinger and the alignment of this party with the base.

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Speaker 5: Wow, amazing. Okay, Here we're on the rooftop. You can

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Speaker 5: see in back of us the Washington Monument.

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Speaker 3: We're on the historic rooftop of the Willard Hotel and

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Speaker 3: its adjacent office center of the Willard's right.

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Speaker 5: Here next to us. We did this symbolically.

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Speaker 3: The Ellipse is right there right the White House and

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Speaker 3: the Treasury is right next to us.

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Speaker 5: The Ellipse is right there.

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Speaker 3: This is where we had the quote unquote war room,

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Speaker 3: as you remember John Solomon, to stop the steal twenty

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Speaker 3: twenty that would be the last time that Donald J.

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Speaker 3: Trump actually won the presidential election. Of course we didn't

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Speaker 3: close at that time. We'll close it. We'll close it

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Speaker 3: this time.

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Speaker 11: Is that do we do?

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Speaker 5: We have Jack pisobic as, Jack Pisobaic available, Can we

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Speaker 5: go to Poso.

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Speaker 3: Nopek Jack Pisova talk to me about pennsil talk to

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Speaker 3: me about Pennsylvania.

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Speaker 5: I'm here, Solomon, and I are hearing all kinds of

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Speaker 5: word out.

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Speaker 3: Of out of Pennsylvan And Charlie Kirk, our brother, Charlie Kirk,

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Speaker 3: get a little nervous there on Twitter.

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Speaker 5: Look, we're we're hearing everything out of Pennsylvania.

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Speaker 7: And it's interesting. You know, I hear one I make

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Speaker 7: one phone call, I hear one thing. I make another

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Speaker 7: phone call, hear something else. But here, here's the main

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Speaker 7: strategy that I've been able to determine that Kamala Harris

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Speaker 7: is up to. And because we are seeing this, we

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Speaker 7: are seeing the depressed black turnout and the breakover crossover

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Speaker 7: vote of black men voting for Donald Trump. That is

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Speaker 7: actually happening right now. And I'm hearing this, by the way,

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Speaker 7: from Democrats. So you can put that in the bank.

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Speaker 7: Then what Kamala Harris has been doing for the last

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Speaker 7: couple of weeks.

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Speaker 5: Think about who she had at that concert.

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Speaker 7: And I was at her concert last night, and she

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Speaker 7: had Ricky Martin and Lady Gaga and Oprah Winfrey.

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Speaker 5: Here's what her calculus is.

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Speaker 7: She's attempting to make up for her depressed turnout in

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Speaker 7: black men by replacing it with the suburban mom.

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Speaker 5: So she's going for that suburban mom vote.

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Speaker 7: And that's who we saw in that line last night

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Speaker 7: when we were there at the concert. We saw fifty

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Speaker 7: percent or maybe even sixty percent to sixty five percent

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Speaker 7: were those suburban moms that were out for Kamala Harris.

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Speaker 7: The problem is is that they're not as democrat as

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Speaker 7: the black men are. So African Americans might vote, you know,

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Speaker 7: almost eighty percent or something in previous elections, suburban moms

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Speaker 7: it's sixty percent, maybe sixty five percent five So you've

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Speaker 7: got to turn out more of them. That's what she

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Speaker 7: is attempting to do right now in Pennsylvania. And the

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Speaker 7: question is is she going to turn out more of it?

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Speaker 7: Is the delta of turnout they are going to be

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Speaker 7: bigger than the undervote in Philadelphia.

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Speaker 3: Okay, okay, Hang on Jack Vesoviks in Phoenix out of

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Speaker 3: the Turning Point action.

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Speaker 5: Turning Point USA Studios.

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Speaker 3: Got John Solomon, Natalie win Er, Stephen Kaban.

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Speaker 5: On the roof of the historic Willard Hotel.

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Speaker 3: Short commercial break back to Real America's Voice Election Night coverage.

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Speaker 1: Real America's Voice twenty twenty four Election coverage is brought

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Speaker 1: to you by Trump knifest dot Com. This is the

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Speaker 1: number one Trump Christmas gift for twenty twenty four. Trump

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Speaker 1: by amac aarp Lean's Left Choose Right with amac amac

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Speaker 1: is better for You, Better for America joined today.

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Speaker 3: Welcome back to Welcome back to our coverage life from

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Speaker 3: the roof of the Willard Hotel. Are we looking the

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Speaker 3: Treasury Department, the White House, the Ellipse, John Sloman, anything

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Speaker 3: happened in the Ellipse Ellipse have his story meaning and

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Speaker 3: the Trump Maga movement.

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Speaker 8: Had asterical meaning just a couple of days ago when

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Speaker 8: Kamala Harris had to go there because she had no

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Speaker 8: issues to talk about in the current election, so she

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Speaker 8: wanted to take us back to January sixth. Yeah, listen,

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Speaker 8: it's a rich history. This election tonight is rooted in

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Speaker 8: what happened that day and the frustration that Republicans had,

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Speaker 8: and the fact that over the last four years they've

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Speaker 8: changed their ground game. They are a modern warfare election

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Speaker 8: ground game, and I think that'll be the story of tonight, Natalie.

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Speaker 3: They've hammered us for four years on January sixth. Do

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Speaker 3: you think at the end of the day it resonated

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Speaker 3: with anybody?

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Speaker 5: Absolutely not.

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Speaker 12: But it's not just me saying that the American people,

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Speaker 12: I think.

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Speaker 5: Agree with us.

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Speaker 12: There's some exepoles coming out of CNN right now. Just

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Speaker 12: seven percent of people feel enthusiastic about the quote way

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Speaker 12: things are going in the United States. How much seven

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Speaker 12: percent to seven combined forty three percent saying dissatisfied and

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Speaker 12: twenty nine percent angry. It's about one in three people

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Speaker 12: angry with the direction this country has had it. So

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Speaker 12: democracy isn't always has been a siop to distract from

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Speaker 12: the fact that, frankly, I think they enjoy destroying this country.

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Speaker 5: We know it's not a resulting competence. It's always been intentional.

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Speaker 5: Let's go to Wisconsin. The head of the GOP's done

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Speaker 5: such a magnificent job.

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Speaker 3: Brian sheming, Brian, thank you for joining us. How are

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Speaker 3: you doing in Wisconsin? Is President Trump going to win

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Speaker 3: there tonight?

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Speaker 15: Well, we certainly feel positive. I see the three of

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Speaker 15: you on top of the hotel. Don't jump. We may

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Speaker 15: win this thing. We really have put enormous focus. We

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Speaker 15: put enormous focus on early vote in this state. And

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Speaker 15: I was talking, I was doing interviews and running around

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Speaker 15: the polling place areas this morning. And you see that

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Speaker 15: because of our early vote emphasis, that the lines aren't

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Speaker 15: quite as long as they sometimes are. I've heard that

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Speaker 15: from some local clerks and from some of our poll watchers.

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Speaker 11: The truth of the matter, though, is this is going

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Speaker 11: to go late.

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Speaker 15: In fact, Milwaukee, I was just told here that Milwaukee

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Speaker 15: is going to re do their counting of absentee ballots

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Speaker 15: because of a glitch that they had. I don't know

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Speaker 15: anything more about that story, but Milwaukee and then Racine,

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Speaker 15: which is just to the south of Milwaukee, the city

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Speaker 15: scene are saying that it'll be two, three, four in

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Speaker 15: the morning before they have their central counts.

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Speaker 5: Hold it, hang on, hang on, hang on.

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Speaker 3: Milwaukee redoing them because they don't they're not coming out

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Speaker 3: like they want, and they're telling us.

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Speaker 5: What now it's going to be two or three in

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Speaker 5: the morning.

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Speaker 15: Yeah, I'm not sure what the issue is there, But

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Speaker 15: there was a news story on from a reporter, a

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Speaker 15: major reporter here in the state, saying breaking, Milwaukee is

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Speaker 15: going to recount every absentee ballot that has been counted

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Speaker 15: because of an issue. They had already tabulated about thirty

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Speaker 15: thousand ballots, so we will find out very shortly, he said. Actually,

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Speaker 15: the follow up on the story, or before the story,

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Speaker 15: if I can read this, is just before two PM,

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Speaker 15: an election observer noticed a pen on tabulators in Milwaukee

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Speaker 15: Central count wasn't properly closed. The panel that wasn't closed

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Speaker 15: contains tabulators on off switches. They were supposed to have

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Speaker 15: been locked in the morning. So that was the initial story.

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Speaker 15: And then now what I just read to you, Milwaukee

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Speaker 15: now going to recount every absentee ballot that has been

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Speaker 15: counted because of that issue, and they had already tabulated

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Speaker 15: about thirty thousand. We don't have electronic voting in Wisconsin.

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Speaker 15: We have paper ballots that go through tabulators whose only

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Speaker 15: role is to count those ballots. So we'll be all

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Speaker 15: over that issue, to say the least.

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Speaker 3: John I thought the machines were absolutely bulletproof. That the machines,

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Speaker 3: We've been told people have been sued. You can't even

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Speaker 3: mentioned in certain networks. You came even bring it up.

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Speaker 8: Yeah, listen, machines are only as good as the people

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Speaker 8: that run them. And I think in Milwaukee this little problem.

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Speaker 8: I've seen this problem going back. I mean, I remember

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Speaker 8: seeing this in nineteen ninety two in a race. Someone

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Speaker 8: doesn't calibrate the machine or doesn't set it back to

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Speaker 8: zero after doing the test, and all of a sudden

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Speaker 8: you got to do everything over. And the good thing

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Speaker 8: is an election observer. Notice that we didn't have as

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Speaker 8: many elections servers.

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Speaker 11: On the ground in twenty twenty we do.

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Speaker 8: Now we're probably going to catch a lot more things,

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Speaker 8: just like we've caught a lot more things in the

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Speaker 8: early litigation strategy of the Republican National Committee. I don't

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Speaker 8: think the's anything to worry about here. I think that

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Speaker 8: what I've seen in Milwaukee turn out today, it's very low.

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Speaker 8: Kamala Harris would have had to have a really incredible

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Speaker 8: day in Milwaukee in order to pull this off.

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Speaker 11: Saving in Philadelphia. Just think about this.

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Speaker 8: Joe Biden had the greatest Philadelphia of them Democrats had

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Speaker 8: Kamala Harrison needs to get one hundred thousand more to

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Speaker 8: Joe Biden to people think she's really going to do that.

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Speaker 11: I don't think so well.

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Speaker 12: I also think it's worth noting down in Georgia there

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Speaker 12: was sort of a bizarre story that I think really

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Speaker 12: represents a convergence of narratives we've been drilling down on

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Speaker 12: here in the war room. One is that election day

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Speaker 12: violence is somehow going to break out in two, of course,

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Speaker 12: Russian election interference. Raffensberger held a press conference earlier today

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Speaker 12: saying that, well, there were bomb threats, but they weren't

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Speaker 12: actually bomb threats. It was people warning that there might

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Speaker 12: be bomb threats. He said, alleged that they came from Russia,

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Speaker 12: despite putting forth any evidence to corroborate that. But the

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Speaker 12: FBI didn't put forth a statement saying that they definitively

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Speaker 12: knew it came from Russia. But they use this as

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Speaker 12: a pretext for election officials, and of course Fanny Willis's

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Speaker 12: Fulton County to essentially sue and extend in these very

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Speaker 12: highly populated urban areas, extend the count, extend the vote.

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Speaker 12: Rather so I think that's how you see these narratives

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Speaker 12: all coming forth that we predicted. But to the rnc's

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Speaker 12: credit and to this audience's credit and much where they've

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Speaker 12: tried to keep Republican pool watchers out of these rooms,

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Speaker 12: I think they've been at the forefront.

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Speaker 5: Sort of the tip of this spear in terms of

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Speaker 5: suing to make sure we get access. Takes time.

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Speaker 3: So, Brian, given where Milwaukee is with the machine problem,

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Speaker 3: where do you think what time are you saying it's

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Speaker 3: going to take us until dawn tomorrow morning to really

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Speaker 3: get account started, getting account out of Wisconsin.

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Speaker 5: You got Racine in Milwaukee. Two of the biggest cities right.

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Speaker 11: Right.

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Speaker 15: Milwaukee is about six hundred and twenty thousand. A county

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Speaker 15: of Milwaukee is about nine fifty. The city of Rape,

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Speaker 15: seen in Racing County, is just to the south of

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Speaker 15: Milwaukee County. Both cities run by Democrats. Racing a former

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Speaker 15: Democrat member of the legislature. Of course, Milwaukee run by

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Speaker 15: a Democrat as well. But that's why we put together

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Speaker 15: the observation. Uh, you know, the poll workers and the

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Speaker 15: pole watchers and all the attorneys that we have to

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Speaker 15: watch these central counts, but to watch everywhere around cities

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Speaker 15: like Milwaukee. I mean the troubles we've had before Milwaukee, racing,

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Speaker 15: the city of Green Bay, places like that. You one

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Speaker 15: of the things I've been telling Republicans the last two

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Speaker 15: years is you have to put the apparatus together to

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Speaker 15: watch these cities. And that means poll workers, it means

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Speaker 15: pole watchers, and it means attorneys. And so Republicans have.

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Speaker 11: Got in my rule.

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Speaker 15: And we've talked about this Steve before and John. It's look,

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Speaker 15: we want to work with local clerks if they if

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Speaker 15: we feel as though they're not following state law or

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Speaker 15: local or nuns, will flag them on it and try

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Speaker 15: to get them back on track. But number three, if

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Speaker 15: those first two things don't happen, we'll see them down

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Speaker 15: the hall in the courtroom.

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Speaker 12: I'm curious, Brian, we've heard about this mass deployment of

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Speaker 12: DOJ election monitors. I'm sure they're obviously in every swing state.

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Speaker 12: Are there any DOJ representatives in Milwaukee? Have you had

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Speaker 12: any liaising with them?

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Speaker 11: Yeah, I'm not aware about Milwaukee.

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Speaker 5: They are in some areas around the state.

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Speaker 15: Which I just consider to be harassment, and it's not

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Speaker 15: I see evidence of why they would need to be

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Speaker 15: employed at all or involved in some of the communities

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Speaker 15: that they're in. But these folks were in the you know,

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Speaker 15: we're in the final hours. In fact, in Wisconsin here,

441
00:21:47,560 --> 00:21:50,639
Speaker 15: we're less than three hours away from polls closing. So

442
00:21:50,880 --> 00:21:54,480
Speaker 15: whether it's DOJ or you know, earthquakes or locusts or

443
00:21:54,560 --> 00:21:57,800
Speaker 15: tornadoes or you know, a left wing attacks or whatever

444
00:21:57,920 --> 00:22:00,920
Speaker 15: it is, they will do anything they can to screw

445
00:22:01,000 --> 00:22:04,680
Speaker 15: up this vote in Wisconsin. Look last Wednesday morning, Kamala

446
00:22:04,720 --> 00:22:07,600
Speaker 15: Harris wasn't going to be in Wisconsin on Friday at all.

447
00:22:07,760 --> 00:22:11,560
Speaker 15: Then she comes back and does three cities in one day.

448
00:22:12,080 --> 00:22:14,520
Speaker 15: So for all the talk about Governor Walls and how

449
00:22:14,600 --> 00:22:17,000
Speaker 15: he was going to help, you know, in the blue

450
00:22:17,080 --> 00:22:21,359
Speaker 15: Wall states, Democrats now have the blue Wall Blues because

451
00:22:21,520 --> 00:22:25,119
Speaker 15: in Michigan and Wisconsin and Pennsylvania, you all have very

452
00:22:25,320 --> 00:22:31,200
Speaker 15: very competitive situations. Here, Wisconsin the toughest of those three states.

453
00:22:31,280 --> 00:22:34,600
Speaker 15: The President said that was the President last week twice

454
00:22:34,680 --> 00:22:38,680
Speaker 15: and with jad Vance yesterday morning. So this is I

455
00:22:38,760 --> 00:22:41,480
Speaker 15: hope this is a teaching moment for Republicans no matter.

456
00:22:41,840 --> 00:22:43,879
Speaker 15: You know, we hope to win, and we're expecting to

457
00:22:43,960 --> 00:22:46,639
Speaker 15: win tonight. But I hope It's a teaching moment for

458
00:22:46,840 --> 00:22:50,639
Speaker 15: Republicans and conservatives when it comes to watching elections and

459
00:22:50,760 --> 00:22:53,080
Speaker 15: making sure you have all the pieces in placement.

460
00:22:53,280 --> 00:22:55,760
Speaker 5: Do it, don't get talked out of doing it.

461
00:22:58,280 --> 00:23:01,960
Speaker 3: I get At the Vote Operation, a trained up election

462
00:23:02,080 --> 00:23:06,359
Speaker 3: integrity force of poll workers, poll watchers, judges, and also

463
00:23:06,480 --> 00:23:07,160
Speaker 3: a legal team.

464
00:23:07,640 --> 00:23:09,280
Speaker 5: Brian, can you hang on. We're going to go there

465
00:23:09,359 --> 00:23:11,160
Speaker 5: to break in a couple of minutes if I need.

466
00:23:11,119 --> 00:23:11,560
Speaker 11: You to hang on.

467
00:23:12,119 --> 00:23:16,360
Speaker 3: Breaking news, John Solomon, Pasobic and Natalie from Edison Research.

468
00:23:17,720 --> 00:23:20,800
Speaker 3: The black vote that was thirteen percent in twenty twenty

469
00:23:21,200 --> 00:23:24,080
Speaker 3: is going to be eleven percent. Yeah, outside of Lover said,

470
00:23:24,160 --> 00:23:26,119
Speaker 3: this is the black men that are just not going

471
00:23:26,160 --> 00:23:27,760
Speaker 3: to vote for Kamala Harris.

472
00:23:27,800 --> 00:23:30,040
Speaker 8: That's the frownie faces that you just saw on the CNN.

473
00:23:30,240 --> 00:23:34,200
Speaker 8: It's the reason why people like the former mayor of Detroit,

474
00:23:34,359 --> 00:23:37,359
Speaker 8: Colmic Kopatrick, who President Trump pardon. He's been working out

475
00:23:37,400 --> 00:23:39,560
Speaker 8: there for President Trump to say listen, if you don't

476
00:23:39,640 --> 00:23:41,239
Speaker 8: vote for President Trump, don't vote for her.

477
00:23:41,400 --> 00:23:43,560
Speaker 11: And he's had a really profound effect in Detroit.

478
00:23:44,240 --> 00:23:47,240
Speaker 8: Kamala Harris can't move the black vote like Joe Biden did,

479
00:23:47,760 --> 00:23:50,120
Speaker 8: and she hasn't moved a lot of the other constituencies.

480
00:23:50,200 --> 00:23:54,160
Speaker 8: Hispanics are drifting away from her regular blue collar workers,

481
00:23:54,240 --> 00:23:55,840
Speaker 8: drifting away from her Jewish voters.

482
00:23:55,840 --> 00:23:57,719
Speaker 11: I think tonight you'll see a shift to the right.

483
00:23:58,520 --> 00:24:01,280
Speaker 5: So we're looking for the the Jewish busts spent thirty

484
00:24:01,320 --> 00:24:02,080
Speaker 5: thirty five percent.

485
00:24:03,480 --> 00:24:04,040
Speaker 11: Could be ficture.

486
00:24:04,200 --> 00:24:07,680
Speaker 3: Well, Jack Posovic, black men in particular, but the black

487
00:24:07,720 --> 00:24:09,600
Speaker 3: vote's only going to be eleven percent. They did not

488
00:24:09,760 --> 00:24:11,320
Speaker 3: turn out for Kamala.

489
00:24:11,359 --> 00:24:15,440
Speaker 7: Harrish your thoughts, sir, well Steve, this is exactly what

490
00:24:15,760 --> 00:24:17,960
Speaker 7: I was been telling you from my sources on the ground,

491
00:24:18,560 --> 00:24:21,720
Speaker 7: that they're not getting to turnout that they expected there

492
00:24:21,800 --> 00:24:24,400
Speaker 7: they wanted. This is again, this is why Barack Obama

493
00:24:24,560 --> 00:24:26,800
Speaker 7: was running around. It was hectoring black men who said

494
00:24:26,840 --> 00:24:28,720
Speaker 7: the brothers got to come out and vote for the sister.

495
00:24:29,240 --> 00:24:29,359
Speaker 13: Uh.

496
00:24:29,480 --> 00:24:32,040
Speaker 7: Then you also saw the Kamala campaign knocking on doors

497
00:24:32,160 --> 00:24:35,480
Speaker 7: in Philadelphia today to try to up those numbers there

498
00:24:35,680 --> 00:24:39,280
Speaker 7: in the city of Philadelphia, and as well just what

499
00:24:39,440 --> 00:24:41,840
Speaker 7: I saw what I saw last night from a strategic

500
00:24:41,960 --> 00:24:47,040
Speaker 7: perspective at that Kamala Harris final concert slash rally, where

501
00:24:47,240 --> 00:24:49,240
Speaker 7: the entire platform look, there was no.

502
00:24:49,480 --> 00:24:52,359
Speaker 5: Dance party with Beyonce. There was no jay Z.

503
00:24:52,560 --> 00:24:55,280
Speaker 7: It was Lady Gaga, it was Ricky Martin, it was

504
00:24:55,440 --> 00:24:59,760
Speaker 7: Oprah Winfrey. This was an entire ticket that was designed

505
00:24:59,800 --> 00:25:04,320
Speaker 7: to appeal and attract white suburban women and those white

506
00:25:04,400 --> 00:25:09,040
Speaker 7: suburban moms specifically. They do vote for Kamala Harris, but

507
00:25:09,240 --> 00:25:11,840
Speaker 7: not at the same rate that you would typically see

508
00:25:11,920 --> 00:25:16,040
Speaker 7: African Americans voting for the Democrat candidate. So if the Democrat,

509
00:25:16,160 --> 00:25:18,879
Speaker 7: if the black vote is down, you need to replace

510
00:25:18,960 --> 00:25:22,119
Speaker 7: that with a much higher vote of suburban women. And

511
00:25:22,200 --> 00:25:24,000
Speaker 7: the tail of the tape is going to come down

512
00:25:24,320 --> 00:25:26,359
Speaker 7: to whether or not she was able to do that.

513
00:25:26,520 --> 00:25:28,440
Speaker 7: Plus a lot of those women that came out, you

514
00:25:28,520 --> 00:25:30,200
Speaker 7: got to imagine they've already voted.

515
00:25:30,240 --> 00:25:31,640
Speaker 5: Plus in the NBC exit.

516
00:25:31,480 --> 00:25:34,280
Speaker 7: Poll, they're saying that Kamala Harris is only up six

517
00:25:34,359 --> 00:25:35,280
Speaker 7: points when it comes.

518
00:25:35,160 --> 00:25:37,480
Speaker 5: To abortion, that it's fifty forty four.

519
00:25:37,840 --> 00:25:40,560
Speaker 7: This was supposed to be her major blowout issue that

520
00:25:40,640 --> 00:25:44,560
Speaker 7: she was going to run over, you know, President Trump

521
00:25:44,640 --> 00:25:46,840
Speaker 7: on and it turns out that it's actually not that

522
00:25:46,960 --> 00:25:47,800
Speaker 7: much of a split on it.

523
00:25:49,880 --> 00:25:52,840
Speaker 5: Jack Hango for one second and take a short commercial break.

524
00:25:53,520 --> 00:25:57,240
Speaker 3: Election night coverage on Real America's Voice Solomon Winterers Fan in.

525
00:25:57,320 --> 00:26:08,920
Speaker 1: Next America's Voice twenty twenty four special election coverage.

526
00:26:16,480 --> 00:26:19,119
Speaker 3: Welcome back on the roof of the Willard Hotel in

527
00:26:19,240 --> 00:26:21,520
Speaker 3: the heart of the Imperial Capital, right across the street

528
00:26:21,520 --> 00:26:24,320
Speaker 3: from the Treasury Department in the White House, of course,

529
00:26:24,359 --> 00:26:28,240
Speaker 3: the Ellipses right there, the historic Willard Hotel. We're President Lincoln.

530
00:26:28,280 --> 00:26:29,840
Speaker 3: When they had to sneak President Lincoln. You know this,

531
00:26:29,960 --> 00:26:32,159
Speaker 3: John and Nata, when they stunt President Lincoln in here

532
00:26:32,200 --> 00:26:35,480
Speaker 3: from Baltimore for his inauguration, he came to the Willard.

533
00:26:35,520 --> 00:26:37,639
Speaker 3: This is where he met Secretary of State Seward, all of.

534
00:26:39,080 --> 00:26:41,720
Speaker 5: His cabinet that were all the competitors to him.

535
00:26:42,119 --> 00:26:44,240
Speaker 3: This is really really kicked off his time in Washington's

536
00:26:44,280 --> 00:26:46,840
Speaker 3: one of the most historic places in Washington, d C.

537
00:26:46,960 --> 00:26:49,080
Speaker 3: We're very honored, I think Real America's Voice for getting

538
00:26:49,119 --> 00:26:50,959
Speaker 3: up here and that we're going to be up all night.

539
00:26:51,000 --> 00:26:52,600
Speaker 3: I think we're actually be back here tomorrow in the

540
00:26:52,680 --> 00:26:56,720
Speaker 3: morning to make sure that we're here until we find

541
00:26:56,760 --> 00:26:58,679
Speaker 3: out who's the winner is. I kept thinking it might

542
00:26:58,720 --> 00:27:01,919
Speaker 3: be Wednesday Thursday, but hey, you never know. If everybody

543
00:27:01,960 --> 00:27:02,840
Speaker 3: gets out to vote, and.

544
00:27:02,880 --> 00:27:04,560
Speaker 5: That's what you have to do. Get out to vote.

545
00:27:04,960 --> 00:27:05,840
Speaker 5: Get out to vote now.

546
00:27:06,000 --> 00:27:09,240
Speaker 3: There's a lot more time on the clock out in Arizona, Nevada.

547
00:27:09,440 --> 00:27:12,399
Speaker 3: You got time Wisconsin. Brian Sheming is the chairman of

548
00:27:12,440 --> 00:27:15,919
Speaker 3: the GP. You hear that number two stats number one.

549
00:27:16,000 --> 00:27:18,320
Speaker 3: We hear the females only make up fifty three percent

550
00:27:19,080 --> 00:27:21,960
Speaker 3: of the voting population from fifty two and twenty twenty.

551
00:27:22,000 --> 00:27:24,800
Speaker 3: It's not like some huge bump and African Americans have

552
00:27:24,960 --> 00:27:28,080
Speaker 3: kind of rejected Kamala Harris looks like eleven percent of

553
00:27:28,160 --> 00:27:28,520
Speaker 3: the vote.

554
00:27:29,040 --> 00:27:31,040
Speaker 5: What's the use, sir? What did you see in Wisconsin.

555
00:27:34,400 --> 00:27:39,280
Speaker 15: We've seen that, particularly in urban areas like Milwaukee, Racing, Kenosha.

556
00:27:40,080 --> 00:27:41,879
Speaker 15: The plain fact of the matter is we're seeing a

557
00:27:41,920 --> 00:27:44,520
Speaker 15: little bit here what we see across the country, and

558
00:27:44,720 --> 00:27:49,440
Speaker 15: that is President Trump has cut into margins with black voters,

559
00:27:50,880 --> 00:27:54,240
Speaker 15: with women voters as well, with younger voters on campus

560
00:27:54,320 --> 00:27:57,600
Speaker 15: as well. So the Democrats seem to be so mystified

561
00:27:57,680 --> 00:28:00,359
Speaker 15: by this whole thing. They actually help us by how

562
00:28:00,440 --> 00:28:03,920
Speaker 15: dumb they are on this issue, because they don't seem

563
00:28:04,000 --> 00:28:07,800
Speaker 15: to understand that all of their established, you know, all

564
00:28:07,880 --> 00:28:11,280
Speaker 15: their kind of East and West coast lefty nonsense is

565
00:28:11,440 --> 00:28:14,920
Speaker 15: not appealing to these people anymore. I mean, look at Milwaukee.

566
00:28:15,200 --> 00:28:18,200
Speaker 15: Milwaukee is the home and John knows this. Milwaukee is

567
00:28:18,240 --> 00:28:21,560
Speaker 15: the home of school choice. School choice was born on

568
00:28:21,680 --> 00:28:25,479
Speaker 15: the south side of Milwaukee. You talk to Hispanic voters,

569
00:28:25,520 --> 00:28:28,440
Speaker 15: and I have a full time Hispanic office and staffers

570
00:28:28,560 --> 00:28:31,920
Speaker 15: on the south side of Milwaukee. They know that it

571
00:28:32,040 --> 00:28:35,280
Speaker 15: was the Republicans that saved them from the Milwaukee Public

572
00:28:35,359 --> 00:28:39,360
Speaker 15: School System MPs. So as I take that message across

573
00:28:39,520 --> 00:28:43,720
Speaker 15: the state, I say, look, this is about helping people,

574
00:28:44,160 --> 00:28:48,400
Speaker 15: not about worrying about the teachers' unions or about you know, overloaded,

575
00:28:48,520 --> 00:28:52,720
Speaker 15: you know, overpaid school administrators. This is about helping kids.

576
00:28:52,960 --> 00:28:57,360
Speaker 15: When Republicans and Conservatives talk to folks in the Hispanic community,

577
00:28:57,440 --> 00:28:59,800
Speaker 15: in the black community on the north side of Milwaukee,

578
00:29:00,640 --> 00:29:03,600
Speaker 15: to women voters, and generally with women voters, you know,

579
00:29:03,760 --> 00:29:06,520
Speaker 15: generally right in the poling, you see that one of

580
00:29:06,600 --> 00:29:10,640
Speaker 15: their top issues is education. So I think we have

581
00:29:10,800 --> 00:29:13,400
Speaker 15: to do a better job. And I think President Trump,

582
00:29:13,440 --> 00:29:15,360
Speaker 15: I was with him twice last week, he does a

583
00:29:15,520 --> 00:29:20,000
Speaker 15: phenomenal job at reaching out to audiences that frankly, we won.

584
00:29:20,440 --> 00:29:23,400
Speaker 5: It's why he won the first time, and so we

585
00:29:23,600 --> 00:29:24,560
Speaker 5: have to take.

586
00:29:24,600 --> 00:29:27,960
Speaker 15: That lesson going forward, not just on the presidential race,

587
00:29:28,000 --> 00:29:28,880
Speaker 15: but all across.

588
00:29:29,560 --> 00:29:32,600
Speaker 5: Okay, Brian, here's what we're going to do.

589
00:29:34,360 --> 00:29:37,800
Speaker 3: People didn't really talk about Wisconsin a lot. Then the

590
00:29:37,880 --> 00:29:40,560
Speaker 3: other day Kamala Harris goes there three times. When we

591
00:29:40,800 --> 00:29:42,960
Speaker 3: back her into the blue Wall, she's there three times.

592
00:29:43,520 --> 00:29:46,360
Speaker 3: Mark Alprin comes up with a bring analysis. Halprin spends

593
00:29:46,400 --> 00:29:48,680
Speaker 3: all week in Pennsylvania. He comes up bringing analysis.

594
00:29:48,720 --> 00:29:49,480
Speaker 5: We have him on the show.

595
00:29:49,720 --> 00:29:52,200
Speaker 3: He's on a train and says, hey, guys, I think

596
00:29:52,280 --> 00:29:56,440
Speaker 3: of North Carolina, Georgia and Arizona, go I think Wisconsin Trump's.

597
00:29:56,040 --> 00:29:59,200
Speaker 5: Path to victory. Now we're hearing that Wisconsin could be

598
00:29:59,280 --> 00:29:59,920
Speaker 5: in play, Brian.

599
00:30:00,000 --> 00:30:02,160
Speaker 3: And what we'd like to do as soon as we

600
00:30:02,200 --> 00:30:04,920
Speaker 3: get more data is to get you back on here

601
00:30:05,000 --> 00:30:05,640
Speaker 3: late in the evening.

602
00:30:05,720 --> 00:30:07,800
Speaker 5: You've done an incredible job as.

603
00:30:07,760 --> 00:30:11,000
Speaker 3: The chairman of the of the Wisconsin GOP and pulling

604
00:30:11,040 --> 00:30:11,680
Speaker 3: everything together.

605
00:30:11,760 --> 00:30:13,440
Speaker 5: We'd like to have an open invitation as.

606
00:30:13,400 --> 00:30:16,960
Speaker 3: Soon as we know more about the numbers, understanding Milwaukee

607
00:30:17,080 --> 00:30:19,080
Speaker 3: had a problem r and seeing how a problem. Guess what,

608
00:30:19,240 --> 00:30:21,200
Speaker 3: they can't start counting again till three in the morning.

609
00:30:21,360 --> 00:30:22,400
Speaker 5: I think we heard this one.

610
00:30:22,280 --> 00:30:23,720
Speaker 11: Before, right, Yeah, we've seen this act.

611
00:30:25,320 --> 00:30:27,560
Speaker 5: Yeah, yeah, watch out, we.

612
00:30:27,600 --> 00:30:34,880
Speaker 15: Can get suit here allegedly, yes, sir, yeah, twenty twenty

613
00:30:35,040 --> 00:30:35,560
Speaker 15: the sequel.

614
00:30:35,680 --> 00:30:40,560
Speaker 5: Okay, yeah, we have a habit of doing that here. Yes, okay,

615
00:30:40,600 --> 00:30:42,240
Speaker 5: we're gonna come in. We're gonna grab you later in

616
00:30:42,280 --> 00:30:46,560
Speaker 5: the night when we have more data. Thank you, sir Pasovic.

617
00:30:46,640 --> 00:30:49,480
Speaker 3: We spent all this time in Pennsylvania and it's a

618
00:30:49,520 --> 00:30:53,600
Speaker 3: dogfight in Pennsylvania. What is happened in Wisconsin? As he

619
00:30:53,680 --> 00:30:57,120
Speaker 3: dropped pasobic? Okay, psobic drug? Is nigra there?

620
00:30:57,840 --> 00:31:02,960
Speaker 5: Okay? We have nigra farrash Yeah, okay, you do.

621
00:31:03,840 --> 00:31:04,280
Speaker 14: I like this.

622
00:31:05,360 --> 00:31:07,800
Speaker 3: More people have star treatment than more is a star

623
00:31:07,880 --> 00:31:08,840
Speaker 3: attitude than Natalie.

624
00:31:09,680 --> 00:31:12,320
Speaker 5: Yeah, niger were coming to you, brother, buddy, We're coming

625
00:31:12,360 --> 00:31:16,240
Speaker 5: to you. Oh my god, I thought.

626
00:31:16,080 --> 00:31:20,440
Speaker 12: I couldn't wear pinks tonight programming Now, Nigra, how you doing?

627
00:31:20,520 --> 00:31:20,760
Speaker 13: Brother?

628
00:31:22,680 --> 00:31:24,640
Speaker 5: Doing very well, Steve doing very well.

629
00:31:24,720 --> 00:31:27,640
Speaker 16: Watching my numbers with absolute fascination. And I have to say,

630
00:31:28,160 --> 00:31:31,920
Speaker 16: having been out this morning at polling stations in Pennsylvania

631
00:31:32,040 --> 00:31:35,440
Speaker 16: talking to people, somebody, I mean, you know, maybe I'm

632
00:31:35,480 --> 00:31:40,440
Speaker 16: being too optimistic. The big of a feel of twenty

633
00:31:40,480 --> 00:31:44,160
Speaker 16: sixteen about this, there's something of a coalition that's coming together,

634
00:31:45,440 --> 00:31:47,400
Speaker 16: more Black voters, more Jewish voters.

635
00:31:49,440 --> 00:31:51,240
Speaker 5: Really it feels to me like I'm going to win

636
00:31:51,280 --> 00:31:51,520
Speaker 5: and win.

637
00:31:51,640 --> 00:31:57,600
Speaker 3: Well, do you think that this is the equivalent, you know,

638
00:31:57,720 --> 00:32:00,520
Speaker 3: Brexit teed off twenty sixteen? If you remember, we're very

639
00:32:00,520 --> 00:32:04,240
Speaker 3: involved with you on the historic Brexit victory which you

640
00:32:04,320 --> 00:32:06,880
Speaker 3: took twenty years to kind of bring about to get

641
00:32:07,200 --> 00:32:10,000
Speaker 3: the British their sovereignty back. That was the predicate for

642
00:32:10,040 --> 00:32:12,640
Speaker 3: twenty sixteen. Do you think we're having our own kind

643
00:32:12,680 --> 00:32:14,840
Speaker 3: of Brexit moment here? We've been kind of in the

644
00:32:14,920 --> 00:32:17,920
Speaker 3: wilderness for four years, accused of everything. It's the reason

645
00:32:18,000 --> 00:32:20,760
Speaker 3: we're back here at the historic Willard Hotel where we

646
00:32:20,840 --> 00:32:23,840
Speaker 3: had the war room to stop the steal. John Solomon

647
00:32:23,920 --> 00:32:26,600
Speaker 3: knows that we're right across from the Ellipse with a

648
00:32:26,680 --> 00:32:29,600
Speaker 3: famous speech of President Trumper, right next to the White House.

649
00:32:30,200 --> 00:32:33,240
Speaker 5: Are we having our Brexit moment here you think tonight?

650
00:32:36,440 --> 00:32:36,600
Speaker 13: Yeah?

651
00:32:36,680 --> 00:32:38,800
Speaker 16: I think it may well be. There's a very similar

652
00:32:38,840 --> 00:32:41,800
Speaker 16: feel to it. As I say, different voters coming together,

653
00:32:42,200 --> 00:32:45,960
Speaker 16: but perhaps the establishment having expected to particularly the rise

654
00:32:46,000 --> 00:32:48,600
Speaker 16: in the black vote, which I think is particularly interesting. Yeah,

655
00:32:48,640 --> 00:32:50,640
Speaker 16: I know this still be really big good. Actually, Steve

656
00:32:51,400 --> 00:32:57,000
Speaker 16: I think a big when when will also be a

657
00:32:58,120 --> 00:32:59,360
Speaker 16: small populist movement?

658
00:32:59,800 --> 00:33:10,320
Speaker 5: Right, I brought to very I think you froze.

659
00:33:10,320 --> 00:33:13,080
Speaker 3: We had a real Yeah, let's let's rebroot, let's reboot

660
00:33:13,160 --> 00:33:15,680
Speaker 3: Nigel saying get him up. Look, look they're down in

661
00:33:15,760 --> 00:33:18,600
Speaker 3: mar They're in mar Lago, and they're at the convention center.

662
00:33:18,680 --> 00:33:20,520
Speaker 5: So it's going to be tough to get some feeds here.

663
00:33:20,600 --> 00:33:24,520
Speaker 12: Guess ma'am asking about the symmetry between the Brexit victory, which,

664
00:33:24,520 --> 00:33:25,760
Speaker 12: of course parallel is closer with the.

665
00:33:25,720 --> 00:33:26,880
Speaker 5: Twenty sixteen Trump victory.

666
00:33:26,880 --> 00:33:29,920
Speaker 12: But we've seen wreck out and when you look at

667
00:33:30,040 --> 00:33:33,680
Speaker 12: the general turnout rates right now, well, I know we're

668
00:33:33,680 --> 00:33:35,880
Speaker 12: going to get into this. It's fifty three percent women,

669
00:33:36,120 --> 00:33:39,800
Speaker 12: seventy one percent white. It was sixty seven percent in

670
00:33:39,920 --> 00:33:43,600
Speaker 12: twenty twenty, about eleven percent black, thirteen percent black of

671
00:33:43,680 --> 00:33:47,320
Speaker 12: course in twenty twenty twelve percent Hispanic and thirteen percent

672
00:33:47,720 --> 00:33:49,760
Speaker 12: in twenty twenty. So you see a shift to more

673
00:33:49,800 --> 00:33:53,240
Speaker 12: of these rural votes turning out, especially among early voting.

674
00:33:53,280 --> 00:33:55,560
Speaker 12: I think in every single swing state, rural voting was

675
00:33:55,680 --> 00:33:57,400
Speaker 12: up as compared to twenty twenty.

676
00:33:58,040 --> 00:34:04,280
Speaker 3: Solomon, We've been lectured here for months that this is

677
00:34:04,400 --> 00:34:07,000
Speaker 3: we have a gender gap problem, and the women are

678
00:34:07,080 --> 00:34:09,239
Speaker 3: trying to come out and reject the patriarchy. They're going

679
00:34:09,280 --> 00:34:12,120
Speaker 3: to reject Handmade's tale right, and they're going to swamp it.

680
00:34:12,560 --> 00:34:15,360
Speaker 3: Fifty twenty and fifty three percent.

681
00:34:15,880 --> 00:34:17,560
Speaker 11: Now wanted to move the vote where she needed.

682
00:34:17,640 --> 00:34:19,560
Speaker 8: She was counting on forty fifty four point five to

683
00:34:19,640 --> 00:34:22,000
Speaker 8: fifty five in a normal election to get where she

684
00:34:22,080 --> 00:34:22,520
Speaker 8: needed to be.

685
00:34:22,960 --> 00:34:23,640
Speaker 11: She hasn't moved it.

686
00:34:23,719 --> 00:34:25,319
Speaker 8: So that's the one thing I want to say about

687
00:34:25,320 --> 00:34:26,600
Speaker 8: two things that I think are significant.

688
00:34:26,640 --> 00:34:27,720
Speaker 11: You use the word brexit.

689
00:34:28,360 --> 00:34:30,719
Speaker 8: I actually think tonight will be known as Dexit, the

690
00:34:30,880 --> 00:34:34,080
Speaker 8: night that key constituencies of the Democratic Party left the

691
00:34:34,120 --> 00:34:36,200
Speaker 8: party and went to Donald Trump and the Republicans. Now

692
00:34:36,560 --> 00:34:39,040
Speaker 8: that's a that's a twenty year opportunity if the Republican

693
00:34:39,120 --> 00:34:42,080
Speaker 8: Party maintains them after tonight, or it's a one year

694
00:34:42,200 --> 00:34:46,040
Speaker 8: wonder due to Donald Trump. But the Democratic Party's corporates.

695
00:34:45,800 --> 00:34:46,800
Speaker 13: To hang and hang anyway.

696
00:34:47,080 --> 00:34:51,480
Speaker 3: They're saying the coalition they've had, particularly Hispanics, African Americans,

697
00:34:51,560 --> 00:34:56,120
Speaker 3: blackmails Jewish voters, Muslim America America. He did not you're

698
00:34:56,320 --> 00:34:58,600
Speaker 3: seeing and by the way, a lot of them may

699
00:34:58,680 --> 00:35:00,680
Speaker 3: not have vo for Trump, right, but at least we

700
00:35:00,800 --> 00:35:03,360
Speaker 3: see someone may have just not gone out at all, and.

701
00:35:03,400 --> 00:35:05,480
Speaker 8: That's not supporting sang home as a former protest and

702
00:35:05,520 --> 00:35:07,960
Speaker 8: it's a vote in itself. I decided Kamala Harrison wasn't

703
00:35:07,960 --> 00:35:09,680
Speaker 8: worth my time to go to the bowl tonight. And

704
00:35:09,719 --> 00:35:11,000
Speaker 8: I think that's what you're going to see, and that's

705
00:35:11,000 --> 00:35:13,200
Speaker 8: why the the glum faces on CNN. I want to

706
00:35:13,200 --> 00:35:15,840
Speaker 8: talk about women because there's an interesting dynamic. Women have

707
00:35:16,200 --> 00:35:18,320
Speaker 8: clearly been a gender gap for Donald Trump all the

708
00:35:18,360 --> 00:35:19,960
Speaker 8: way through this, and there was a big prediction. We

709
00:35:20,040 --> 00:35:23,040
Speaker 8: did some interesting sensitivity polling. We'd ask women who you

710
00:35:23,120 --> 00:35:25,080
Speaker 8: going to vote for, and you'd see a really large

711
00:35:25,200 --> 00:35:29,879
Speaker 8: margin for Kamala Harrison against Donald Trump, really large, historically large.

712
00:35:30,160 --> 00:35:32,080
Speaker 8: Then you go back a week later ask the same panel,

713
00:35:32,880 --> 00:35:34,640
Speaker 8: who do you think is the candidate better for your

714
00:35:34,719 --> 00:35:35,719
Speaker 8: children and grandchildren?

715
00:35:35,920 --> 00:35:37,800
Speaker 11: And that gap closed by seven or eight points. What

716
00:35:37,920 --> 00:35:39,040
Speaker 11: is that tellipolster? Wow?

717
00:35:39,200 --> 00:35:41,040
Speaker 8: It tells a poster that there may be women out

718
00:35:41,040 --> 00:35:42,600
Speaker 8: there who think Trump's the right choice and they're just

719
00:35:42,680 --> 00:35:44,080
Speaker 8: not going to admit it until they get into the

720
00:35:44,120 --> 00:35:44,600
Speaker 8: pole booth.

721
00:35:44,960 --> 00:35:46,960
Speaker 11: It tells you another thing. Some of these issues that we.

722
00:35:47,000 --> 00:35:50,239
Speaker 8: Haven't been talking about a lot in elitist media. May

723
00:35:50,280 --> 00:35:53,560
Speaker 8: be resonating women in our men and women's sports and

724
00:35:53,880 --> 00:35:55,120
Speaker 8: the safety of my children.

725
00:35:54,880 --> 00:35:55,720
Speaker 11: When they go to school.

726
00:35:56,360 --> 00:35:58,759
Speaker 8: I think the women vote will be overstated in the

727
00:35:58,800 --> 00:36:01,200
Speaker 8: polls and will show up a little bit differently on

728
00:36:01,320 --> 00:36:01,920
Speaker 8: election date.

729
00:36:02,120 --> 00:36:03,439
Speaker 5: I want to get back to this in a second

730
00:36:03,480 --> 00:36:03,920
Speaker 5: with Natalie.

731
00:36:04,000 --> 00:36:06,960
Speaker 3: Let's go to We've got Richard Barris our numbers. Guy, Richard,

732
00:36:07,440 --> 00:36:09,720
Speaker 3: what are you seeing. They've already put the first exit polls.

733
00:36:09,719 --> 00:36:13,880
Speaker 3: There's some long faces at CNN. Feeling pretty good here,

734
00:36:13,920 --> 00:36:15,640
Speaker 3: but we've got to run through the tape. Everybody's got

735
00:36:15,680 --> 00:36:19,240
Speaker 3: to get out to vote in Arizona, Nevada, out West Texas,

736
00:36:19,360 --> 00:36:21,480
Speaker 3: all of these states. The poles are still open all

737
00:36:21,560 --> 00:36:24,160
Speaker 3: over the place. Wisconsin, what do you seeing, Barriss?

738
00:36:24,800 --> 00:36:26,920
Speaker 17: This is not done vote period.

739
00:36:27,080 --> 00:36:30,439
Speaker 6: You remember twenty sixteen the exit polls when you got them, Steve,

740
00:36:30,800 --> 00:36:33,239
Speaker 6: there were long faces of the Trump campaign. She was

741
00:36:33,400 --> 00:36:37,080
Speaker 6: up in every battleground state and that did not happen obviously.

742
00:36:37,440 --> 00:36:39,800
Speaker 6: Ask John Kerry if Tim Russett was still alive, you

743
00:36:39,840 --> 00:36:40,640
Speaker 6: could ask him to.

744
00:36:41,000 --> 00:36:44,480
Speaker 17: They were celebrating and they thought they won Go and vote.

745
00:36:44,760 --> 00:36:47,759
Speaker 6: Bottom line with the gender stuff, Steve, I just want

746
00:36:47,760 --> 00:36:49,400
Speaker 6: to pat myself on the back a little bit here.

747
00:36:50,560 --> 00:36:53,600
Speaker 6: If this holds, If this demographic holds, it will be

748
00:36:53,719 --> 00:36:56,920
Speaker 6: the exact demographics of our final national poll, which had

749
00:36:56,960 --> 00:36:59,880
Speaker 6: it tied fifty to fifty head to head, but Trump

750
00:37:00,000 --> 00:37:03,879
Speaker 6: plus one with the full ballad gender everything, forty seven

751
00:37:03,880 --> 00:37:06,480
Speaker 6: to fifty three is exactly what it was in twenty sixteen.

752
00:37:06,560 --> 00:37:08,800
Speaker 17: Ladies and gentlemen, it was forty eight, fifty two and

753
00:37:08,840 --> 00:37:09,440
Speaker 17: twenty twenty.

754
00:37:09,880 --> 00:37:12,160
Speaker 6: But in sixteen when Trump won, it was actually more

755
00:37:12,239 --> 00:37:15,359
Speaker 6: female than it was in twenty twenty. So there's a little,

756
00:37:15,520 --> 00:37:17,160
Speaker 6: you know, something for people to put in their pipe

757
00:37:17,200 --> 00:37:19,680
Speaker 6: and smoke it with the disinformation that I'm seeing. But

758
00:37:19,840 --> 00:37:24,680
Speaker 6: the big thing here is that, as we forecasted, Hispanics

759
00:37:24,719 --> 00:37:27,600
Speaker 6: for the first time ever in history, will be a

760
00:37:27,800 --> 00:37:31,520
Speaker 6: larger share of the vote than black voters twelve percent

761
00:37:31,719 --> 00:37:35,200
Speaker 6: to eleven percent, exactly what we projected in our final law.

762
00:37:35,480 --> 00:37:36,080
Speaker 5: It's history.

763
00:37:36,239 --> 00:37:37,919
Speaker 17: It's history. It's history.

764
00:37:38,000 --> 00:37:42,799
Speaker 3: It's a big deal, big deal, and President Trump may

765
00:37:42,840 --> 00:37:44,680
Speaker 3: get forty to fifty percent of that vote.

766
00:37:44,719 --> 00:37:46,959
Speaker 5: That's the big I mean, it's even a bigger deal.

767
00:37:46,880 --> 00:37:53,560
Speaker 3: With President Trumps like he was running the table also.

768
00:37:53,200 --> 00:37:54,760
Speaker 5: And I saw this when I was in Danbury.

769
00:37:55,719 --> 00:37:57,880
Speaker 3: A lot of these young African American men in his

770
00:37:58,000 --> 00:38:00,560
Speaker 3: bank men may not be to the point of supporting

771
00:38:00,640 --> 00:38:03,439
Speaker 3: MAGA and voting for President Trump, but here's what they've done.

772
00:38:03,719 --> 00:38:05,920
Speaker 3: They're finished with the Democratic Party and they're finished with

773
00:38:06,080 --> 00:38:08,560
Speaker 3: Kamala Harris. They did test her. And I think that's

774
00:38:08,560 --> 00:38:11,000
Speaker 3: one of the underreported stories of tonight. Richard Barris, can

775
00:38:11,040 --> 00:38:12,040
Speaker 3: you hang on for a second?

776
00:38:12,520 --> 00:38:12,719
Speaker 11: Sure?

777
00:38:12,840 --> 00:38:16,880
Speaker 5: Here live in Washington, d C. In the Imperial Capital.

778
00:38:17,400 --> 00:38:22,360
Speaker 3: We're on the historic roof of the Willard Hotel, overlooking

779
00:38:22,400 --> 00:38:25,680
Speaker 3: the Ellipse where the famous speech on January sixth was

780
00:38:25,719 --> 00:38:26,959
Speaker 3: given by President Trump.

781
00:38:27,640 --> 00:38:29,960
Speaker 5: Also next to the White House and the Treasury Department.

782
00:38:29,960 --> 00:38:31,520
Speaker 3: We're going to talk a lot about the Treasure Department

783
00:38:31,560 --> 00:38:34,640
Speaker 3: maybe later about this financial crisis. The reason is the

784
00:38:34,719 --> 00:38:38,040
Speaker 3: economic numbers are in on the polling CNN exit polling

785
00:38:38,520 --> 00:38:43,200
Speaker 3: economic numbers horrific for Democrats. Seventy five percent of the

786
00:38:43,280 --> 00:38:46,040
Speaker 3: voting population have a poor or bad.

787
00:38:45,920 --> 00:38:48,280
Speaker 5: Outlook for the economy. That's kind of tough to run against.

788
00:38:48,320 --> 00:38:51,400
Speaker 3: Okay, when you're the politics of joy does not translate

789
00:38:51,440 --> 00:38:54,760
Speaker 3: their short commercial break Real America's Voice Election Night coverage

790
00:38:54,800 --> 00:38:56,160
Speaker 3: will continue from Washington and to.

791
00:38:56,160 --> 00:38:57,160
Speaker 13: See in a moment.

792
00:39:04,719 --> 00:39:08,359
Speaker 1: Real America's Voice twenty twenty four election coverage is brought

793
00:39:08,360 --> 00:39:11,320
Speaker 1: to you by Trump knifest dot Com. This is the

794
00:39:11,440 --> 00:39:14,640
Speaker 1: number one Trump Christmas gift for twenty twenty four Trump

795
00:39:14,760 --> 00:39:20,640
Speaker 1: knifest dot Com. Because Voice twenty twenty four election coverage

796
00:39:20,880 --> 00:39:25,160
Speaker 1: is brought to you by amac aarp Lean's Left. Choose

797
00:39:25,320 --> 00:39:29,080
Speaker 1: right with amac amac is better for you, Better for

798
00:39:29,200 --> 00:39:31,000
Speaker 1: America joined today.

799
00:39:40,080 --> 00:39:43,000
Speaker 5: Okay, welcome back. You've got the War Room. You've got

800
00:39:43,120 --> 00:39:46,720
Speaker 5: John Solomon on Just the News. You've got Natalie Winner's

801
00:39:46,760 --> 00:39:47,840
Speaker 5: my co host of Warroom.

802
00:39:47,920 --> 00:39:51,280
Speaker 3: We've got Jack Psovik from U was it Human Events Daily,

803
00:39:51,440 --> 00:39:55,719
Speaker 3: Charlie kirk that Charlie Kirkshrow, all of the personalities associated

804
00:39:55,719 --> 00:39:57,280
Speaker 3: with the pirate ship we call.

805
00:39:57,200 --> 00:39:58,759
Speaker 5: Real America's Voice or here.

806
00:39:58,800 --> 00:40:02,040
Speaker 3: It's been a long tough for you, but I think

807
00:40:02,400 --> 00:40:05,080
Speaker 3: we're going to have if we keep fighting. And people

808
00:40:05,120 --> 00:40:07,000
Speaker 3: got to understand this is far from over.

809
00:40:07,560 --> 00:40:11,439
Speaker 5: Anyone that is not voted needs now to get out

810
00:40:12,080 --> 00:40:12,640
Speaker 5: and to vote.

811
00:40:12,640 --> 00:40:17,839
Speaker 3: Whether you're in the Western Panhandle of Florida, Texas, Colorado, Arizona, Wisconsin,

812
00:40:17,960 --> 00:40:20,160
Speaker 3: there's still plenty of time it's only five forty six

813
00:40:20,600 --> 00:40:21,600
Speaker 3: Eastern Standard times.

814
00:40:21,600 --> 00:40:23,799
Speaker 5: There's plenty of time of the clock. It's after work,

815
00:40:24,200 --> 00:40:24,680
Speaker 5: go vote.

816
00:40:24,719 --> 00:40:28,719
Speaker 3: We got to run the score up because you know, Milwaukee,

817
00:40:29,239 --> 00:40:31,640
Speaker 3: they already say theyve got machine problems in Milwaukee, and

818
00:40:31,680 --> 00:40:34,000
Speaker 3: they can't really start counting on. You know, the machine's

819
00:40:34,040 --> 00:40:35,440
Speaker 3: not going to work to like two in the morning.

820
00:40:36,040 --> 00:40:37,680
Speaker 3: I don't want to say that's the dark of night

821
00:40:37,760 --> 00:40:39,640
Speaker 3: in ram scene in Racine.

822
00:40:39,320 --> 00:40:42,080
Speaker 5: In Milwaukee, but it's the darker knight right the middle

823
00:40:42,080 --> 00:40:42,440
Speaker 5: of the night.

824
00:40:42,719 --> 00:40:43,000
Speaker 13: It is.

825
00:40:44,480 --> 00:40:44,520
Speaker 10: This.

826
00:40:45,040 --> 00:40:45,759
Speaker 5: Are we going to call it?

827
00:40:45,880 --> 00:40:46,240
Speaker 11: Dixit?

828
00:40:46,440 --> 00:40:51,160
Speaker 3: The people leaving the coalition? The traditional coalition collapsing?

829
00:40:51,560 --> 00:40:52,239
Speaker 11: What do you mean by that?

830
00:40:52,360 --> 00:40:55,120
Speaker 5: John Solomon? Put some meat on that bone so we

831
00:40:55,200 --> 00:40:56,000
Speaker 5: can start to push this.

832
00:40:56,920 --> 00:40:58,000
Speaker 11: Media weren't paying attention.

833
00:40:58,160 --> 00:41:00,560
Speaker 8: Donald Trump reached his hand out to because agencies that

834
00:41:00,640 --> 00:41:03,120
Speaker 8: Republicans had not engaged in a long time. He began

835
00:41:03,239 --> 00:41:04,920
Speaker 8: doing it in sixteen, but he realized that he was

836
00:41:04,920 --> 00:41:07,160
Speaker 8: going to come back in twenty four, twenty one, twenty two,

837
00:41:07,200 --> 00:41:08,880
Speaker 8: twenty three. You got to reach out to Hispanics, you

838
00:41:08,960 --> 00:41:11,200
Speaker 8: got to reach out to blackmails, You've got to reach

839
00:41:11,200 --> 00:41:13,239
Speaker 8: out to all these constituencies that have been taken for

840
00:41:13,320 --> 00:41:16,759
Speaker 8: granted for two, three, four, five, six elections by Democrats,

841
00:41:17,040 --> 00:41:18,839
Speaker 8: and they were ripe for the taking. And Donald Trump

842
00:41:18,920 --> 00:41:21,520
Speaker 8: had the instinct to go there, to spend money there,

843
00:41:21,600 --> 00:41:23,640
Speaker 8: to go to the Bronx when everyone thought he was insane,

844
00:41:23,680 --> 00:41:25,640
Speaker 8: and to go to other places and say I want

845
00:41:25,680 --> 00:41:27,120
Speaker 8: to be your president, Give me a chance.

846
00:41:27,200 --> 00:41:28,120
Speaker 11: What do you have to lose?

847
00:41:28,520 --> 00:41:31,480
Speaker 8: And tonight, you're seeing in the early polling data, if

848
00:41:31,520 --> 00:41:33,279
Speaker 8: there's not bias in the poll and I'll talk about

849
00:41:33,320 --> 00:41:37,359
Speaker 8: that in a second, a significant exit of Democrat constituencies,

850
00:41:37,480 --> 00:41:40,120
Speaker 8: either out of the party or into the Republican Party.

851
00:41:40,160 --> 00:41:42,319
Speaker 8: I think some of the story is Democrats have left

852
00:41:42,320 --> 00:41:44,640
Speaker 8: the Democratic Party state home. Some of it is they're

853
00:41:44,719 --> 00:41:46,920
Speaker 8: migrating to Donald Trump. All of that as a result

854
00:41:46,960 --> 00:41:49,680
Speaker 8: of the overtures that Donald Trump made to this. I

855
00:41:49,760 --> 00:41:53,480
Speaker 8: had the brand new CEO of Univision, kind of known

856
00:41:53,600 --> 00:41:56,040
Speaker 8: to be a lefty news organization, but brand new ceo.

857
00:41:56,120 --> 00:41:56,920
Speaker 11: He comes out of Google.

858
00:41:57,200 --> 00:42:00,520
Speaker 8: And the opening line he says on my interview, the

859
00:42:00,680 --> 00:42:03,719
Speaker 8: Hispanic population is no longer a Democratic box.

860
00:42:03,840 --> 00:42:05,560
Speaker 11: Listen to America. It's no longer Democrat.

861
00:42:05,600 --> 00:42:08,120
Speaker 8: That's that is the leader of the most powerful television

862
00:42:08,160 --> 00:42:09,480
Speaker 8: network in Hispanic America.

863
00:42:09,680 --> 00:42:10,520
Speaker 11: Donald Trump did that.

864
00:42:10,560 --> 00:42:12,160
Speaker 8: You could put one of those little Joe Biden seins

865
00:42:12,200 --> 00:42:14,440
Speaker 8: put Donald Trump's face on it. He reached out, he

866
00:42:14,560 --> 00:42:18,120
Speaker 8: began to make overtures, and he found several constituencies that

867
00:42:18,160 --> 00:42:21,120
Speaker 8: were ready to leave the American Democratic Party and try

868
00:42:21,200 --> 00:42:22,520
Speaker 8: something different or stay at home.

869
00:42:22,800 --> 00:42:24,239
Speaker 11: I think that's what dexit will be tonight.

870
00:42:24,400 --> 00:42:27,959
Speaker 3: The Federal Reserve and the Secretary Treasury allowed this mass

871
00:42:28,000 --> 00:42:31,840
Speaker 3: invasion of ten to fifteen million illegal alien invaders to

872
00:42:32,080 --> 00:42:35,680
Speaker 3: crush the wages, to take down and wage inflation on

873
00:42:35,760 --> 00:42:39,120
Speaker 3: the African Americans and Hispanics. And this is why you

874
00:42:39,239 --> 00:42:41,680
Speaker 3: see African American men not voting for him, and you

875
00:42:41,760 --> 00:42:43,520
Speaker 3: see Hispanics now are going to be in a fifty

876
00:42:43,520 --> 00:42:46,600
Speaker 3: to fifty at the largest percentage. They understand they've been

877
00:42:46,600 --> 00:42:49,600
Speaker 3: getting screwed by the system. And if we offer them

878
00:42:49,960 --> 00:42:53,880
Speaker 3: a seat at the table and also start to have

879
00:42:53,960 --> 00:42:57,520
Speaker 3: discussions about growth and economic opportunities, this is going to

880
00:42:57,560 --> 00:42:58,720
Speaker 3: be a foundational element.

881
00:42:58,760 --> 00:43:00,680
Speaker 5: I mean, this is how we flip the Rear Grand Valley.

882
00:43:00,880 --> 00:43:03,160
Speaker 3: The people in the Rear Grand Valley are the biggest

883
00:43:03,560 --> 00:43:07,640
Speaker 3: supporters in the world of the wall, deportations, border security.

884
00:43:07,719 --> 00:43:09,839
Speaker 8: John Solomon, I agree with all of that, I saw

885
00:43:09,880 --> 00:43:11,840
Speaker 8: you and Natalie lots of times early in the summer

886
00:43:12,000 --> 00:43:14,640
Speaker 8: talking about the border being an issue for legal Hispanic

887
00:43:14,719 --> 00:43:15,640
Speaker 8: immigrants in America.

888
00:43:15,920 --> 00:43:17,279
Speaker 11: I think tonight will prove that out.

889
00:43:17,680 --> 00:43:20,120
Speaker 8: The Univision poll of its own Hispanic audience found that

890
00:43:20,200 --> 00:43:23,080
Speaker 8: the border was much higher than most anyone thought. I

891
00:43:23,160 --> 00:43:25,319
Speaker 8: think the key tonight now, at this hour night, when

892
00:43:25,320 --> 00:43:26,879
Speaker 8: I was at the AP, there'd be an hour we'd

893
00:43:26,880 --> 00:43:28,960
Speaker 8: sit down and say, is there bias in the poll?

894
00:43:29,040 --> 00:43:32,160
Speaker 8: Is it possible that Donald Trump is overstated? Now in history,

895
00:43:32,280 --> 00:43:35,279
Speaker 8: Donald Trump's never been overstated pole, But the researchers will

896
00:43:35,280 --> 00:43:37,239
Speaker 8: spend the next hour making sure there's no bias in

897
00:43:37,280 --> 00:43:40,080
Speaker 8: these exit polls. If these exit polls match with early

898
00:43:40,160 --> 00:43:42,480
Speaker 8: voting numbers, this is shaping up to be a strong

899
00:43:42,600 --> 00:43:44,920
Speaker 8: night for Donald Trump and Republicans. And you can take

900
00:43:44,960 --> 00:43:46,360
Speaker 8: some sentence seats and House seats.

901
00:43:46,160 --> 00:43:48,839
Speaker 3: With them, Barris, is their bias in the polls? Where

902
00:43:48,840 --> 00:43:51,320
Speaker 3: do you think we stand right now when the polling

903
00:43:52,200 --> 00:43:56,880
Speaker 3: versus versus the numbers you're seeing early? Because what Dana

904
00:43:56,920 --> 00:43:58,839
Speaker 3: Bash said in that thing is that and what I've

905
00:43:58,880 --> 00:44:02,040
Speaker 3: heard from a lot Democratic operatives she needed another week

906
00:44:02,120 --> 00:44:05,080
Speaker 3: or two things were slowly were coming her way, but

907
00:44:05,200 --> 00:44:06,520
Speaker 3: she had not defined herself.

908
00:44:06,920 --> 00:44:09,640
Speaker 5: But maybe after Madison Square Garden.

909
00:44:09,440 --> 00:44:11,880
Speaker 3: They had kind of you know, Trump's a fascist, Trump's

910
00:44:11,880 --> 00:44:14,399
Speaker 3: a Nazi, Trump's a bad guy. They're going to whine

911
00:44:14,440 --> 00:44:17,200
Speaker 3: and moan that she didn't have enough time. Richard Barris,

912
00:44:18,080 --> 00:44:19,120
Speaker 3: give me your assessment of this.

913
00:44:20,120 --> 00:44:22,480
Speaker 6: Yeah, I think if Harris loses, it's going to be

914
00:44:22,560 --> 00:44:25,600
Speaker 6: because they chose to spend the final week trying to

915
00:44:25,680 --> 00:44:28,480
Speaker 6: scare people away from Donald Trump instead of doing what

916
00:44:28,760 --> 00:44:32,800
Speaker 6: everyone in my profession for years has said. Meeting the

917
00:44:32,880 --> 00:44:35,919
Speaker 6: presidential bar in twenty sixteen, there was always a chunk

918
00:44:35,960 --> 00:44:36,360
Speaker 6: of voters.

919
00:44:36,400 --> 00:44:38,239
Speaker 17: They were undecided, They didn't.

920
00:44:37,960 --> 00:44:40,040
Speaker 6: Really like their choices, but they knew that they were

921
00:44:40,080 --> 00:44:42,640
Speaker 6: sick of the status quo and they just needed Donald

922
00:44:42,640 --> 00:44:44,960
Speaker 6: Trump to say, you know, to prove to hit the

923
00:44:45,040 --> 00:44:48,879
Speaker 6: presidential bar like he can do this job. She wasn't

924
00:44:48,960 --> 00:44:51,279
Speaker 6: focused on telling voters that she could do the job.

925
00:44:51,400 --> 00:44:54,080
Speaker 6: She was focused on saying Donald Trump is a fascist.

926
00:44:54,160 --> 00:44:56,800
Speaker 6: Look at the Puerto Rican comment, and obviously, if the

927
00:44:56,880 --> 00:45:01,160
Speaker 6: exit polls are correct, nobody bought that long thought that

928
00:45:01,280 --> 00:45:05,480
Speaker 6: those are actually narratives that are geared towards educated whites,

929
00:45:05,560 --> 00:45:08,000
Speaker 6: They're not trying to pull away Hispanic voters when they

930
00:45:08,120 --> 00:45:09,040
Speaker 6: use those narratives.

931
00:45:09,080 --> 00:45:11,520
Speaker 17: That's actually towards educated whites, who.

932
00:45:11,440 --> 00:45:15,040
Speaker 6: Are more offended by those kind of comments than Hispanics

933
00:45:15,080 --> 00:45:15,640
Speaker 6: themselves are.

934
00:45:15,800 --> 00:45:18,719
Speaker 17: My wife is Hispanic, she laughed hysterically. She's Puerto Rican.

935
00:45:18,960 --> 00:45:21,000
Speaker 6: Did you like it and think it was off color? Yeah,

936
00:45:21,120 --> 00:45:22,880
Speaker 6: I mean pretty much. She even love it, but she

937
00:45:22,960 --> 00:45:24,880
Speaker 6: saw where he was coming from. It fell flat.

938
00:45:25,160 --> 00:45:27,680
Speaker 17: She laughed at the idea that that would shift votes.

939
00:45:27,840 --> 00:45:30,160
Speaker 6: You know, so I got to tell you, though, there

940
00:45:30,239 --> 00:45:32,320
Speaker 6: is some contradictory stuff in the exit poles.

941
00:45:32,400 --> 00:45:34,279
Speaker 17: You know, I'd wait just to hair, let's see what

942
00:45:34,360 --> 00:45:34,920
Speaker 17: the votes say.

943
00:45:35,320 --> 00:45:39,040
Speaker 6: The AP vote cast has been far more accurate than

944
00:45:39,080 --> 00:45:42,840
Speaker 6: the NBC and which is conducted by Edison Research.

945
00:45:42,880 --> 00:45:44,520
Speaker 17: I'm sorry, it's just true when.

946
00:45:44,400 --> 00:45:46,400
Speaker 6: You go back and look at the voter validated surveys

947
00:45:46,400 --> 00:45:49,160
Speaker 6: and you put them against the exit polls. AP vote casts,

948
00:45:49,280 --> 00:45:53,680
Speaker 6: especially in finding Trump's vote in the primary, was much better.

949
00:45:53,760 --> 00:45:56,120
Speaker 6: There was some really weird stuff coming out of Edison,

950
00:45:56,360 --> 00:45:59,120
Speaker 6: and I am I'm not sure that they caught all

951
00:45:59,160 --> 00:46:02,160
Speaker 6: of Trump's vote. The CNN themselves were saying that they

952
00:46:02,200 --> 00:46:05,160
Speaker 6: were having a difficult time getting Trump supporters to answer

953
00:46:05,239 --> 00:46:07,960
Speaker 6: these interviews, and I got to tell you, as a polster,

954
00:46:08,120 --> 00:46:11,080
Speaker 6: we went all the way to Sunday. Republicans just stopped

955
00:46:11,120 --> 00:46:13,880
Speaker 6: talking about ten days before the election. They just were like,

956
00:46:13,960 --> 00:46:16,680
Speaker 6: we're done. And I chucked it up to maybe, I

957
00:46:16,719 --> 00:46:19,960
Speaker 6: don't know, John, maybe they voted like early, more than

958
00:46:20,080 --> 00:46:22,759
Speaker 6: usual and they just said we're done with this. Now

959
00:46:23,000 --> 00:46:25,520
Speaker 6: I voted, I'm done. We'll see how it cheeks out

960
00:46:25,560 --> 00:46:27,719
Speaker 6: on election day. I'm sick of talking to you. That

961
00:46:27,840 --> 00:46:28,720
Speaker 6: could be what happened.

962
00:46:28,760 --> 00:46:31,960
Speaker 17: I don't know. We'll have to research it, but you know, I.

963
00:46:31,960 --> 00:46:34,640
Speaker 6: Mean, Kamala Harris is up by six on abortion folks.

964
00:46:35,200 --> 00:46:36,880
Speaker 17: In case you didn't see that number.

965
00:46:36,880 --> 00:46:39,440
Speaker 11: Yeah six, Yeah, no, we did. Rich.

966
00:46:39,520 --> 00:46:41,160
Speaker 8: Can I ask you a quick question, what are the

967
00:46:41,239 --> 00:46:43,520
Speaker 8: anomalies you're seeing there? Because I mean I am hearing

968
00:46:43,560 --> 00:46:45,759
Speaker 8: of some of the anomalies. And there is this analysis

969
00:46:45,800 --> 00:46:47,800
Speaker 8: you do at this point the night about potential bias

970
00:46:47,880 --> 00:46:49,600
Speaker 8: in the polls. Could you flag a few things that

971
00:46:49,640 --> 00:46:51,680
Speaker 8: would tell us which way those anomalies might be going.

972
00:46:52,800 --> 00:46:56,279
Speaker 6: Most of the pre election consensus showed that number one

973
00:46:56,480 --> 00:46:59,000
Speaker 6: the economy or cost of living in jobs was a

974
00:46:59,080 --> 00:47:03,520
Speaker 6: number one voting shoe followed by immigration, then followed by things.

975
00:47:03,360 --> 00:47:05,279
Speaker 17: Like abortion and protect democracy.

976
00:47:05,719 --> 00:47:09,239
Speaker 6: The Edison research polls have way too many people saying

977
00:47:09,320 --> 00:47:12,120
Speaker 6: that democracy was their number one issue. That's number one,

978
00:47:12,120 --> 00:47:15,120
Speaker 6: and it still doesn't look great for her, but number two.

979
00:47:15,640 --> 00:47:16,400
Speaker 17: There's also the.

980
00:47:18,360 --> 00:47:22,520
Speaker 6: Question of Edison and how they kind of gauge these things.

981
00:47:22,680 --> 00:47:27,399
Speaker 6: AP vote Cast is doing a rolling exit poll because

982
00:47:27,440 --> 00:47:30,359
Speaker 6: they abandoned after sixteen Steve with the Mists. They pulled

983
00:47:30,440 --> 00:47:33,319
Speaker 6: on you after that Fox News and AP said, look,

984
00:47:33,640 --> 00:47:37,240
Speaker 6: this isn't working anymore. Veteran polster Murray himself from Edison

985
00:47:37,520 --> 00:47:40,439
Speaker 6: said this has been a long standing problem. After oh four,

986
00:47:40,600 --> 00:47:42,640
Speaker 6: he threw in the towel with the way Edison does it.

987
00:47:42,920 --> 00:47:46,040
Speaker 6: They've tried to evolve, and I'm not dogging anybody. I'm

988
00:47:46,120 --> 00:47:50,640
Speaker 6: just pointing out the reality of their track record. You know,

989
00:47:50,719 --> 00:47:55,520
Speaker 6: they overstated Republicans in twenty two. They overcorrected, and I

990
00:47:55,560 --> 00:47:58,000
Speaker 6: don't really I'm not sure looking at the primary, how

991
00:47:58,120 --> 00:48:00,600
Speaker 6: the performance from them that they really you have figured

992
00:48:00,640 --> 00:48:01,440
Speaker 6: this out and they know.

993
00:48:01,719 --> 00:48:05,120
Speaker 17: AP. On the other hand, it's a vote cast. It's different.

994
00:48:05,320 --> 00:48:08,759
Speaker 6: They're recruiting people beforehand, they're tracking way more of them.

995
00:48:09,040 --> 00:48:13,040
Speaker 6: They're not just sitting, paying like graduate students John to

996
00:48:13,160 --> 00:48:15,359
Speaker 6: sit in the most urban areas they can.

997
00:48:15,320 --> 00:48:18,000
Speaker 17: Sit because they need to get their quota right, and

998
00:48:18,120 --> 00:48:20,640
Speaker 17: then billing it in because that's what I'm telling you,

999
00:48:21,080 --> 00:48:23,240
Speaker 17: That's what it looks like they did with these issues.

1000
00:48:23,280 --> 00:48:26,360
Speaker 17: It looks like they Farbucks line the Manhattan.

1001
00:48:28,440 --> 00:48:31,759
Speaker 3: Hangover a second. Translate that for the audience. Richard's given

1002
00:48:31,760 --> 00:48:34,480
Speaker 3: a very technical which is great. We love the insight baseball.

1003
00:48:34,719 --> 00:48:36,359
Speaker 3: What does that mean for the person at home?

1004
00:48:36,560 --> 00:48:38,360
Speaker 5: But no, no, it's great. Barris is fantastic.

1005
00:48:38,440 --> 00:48:40,640
Speaker 3: I love what just But what does that mean versus

1006
00:48:40,680 --> 00:48:43,160
Speaker 3: the ap vote cast versus Edison's doing it for NBC?

1007
00:48:43,440 --> 00:48:45,680
Speaker 5: What does that mean of the reality that we're seeing

1008
00:48:45,920 --> 00:48:46,520
Speaker 5: in Poland?

1009
00:48:46,560 --> 00:48:49,080
Speaker 8: You have to be honest about who's responding to the question,

1010
00:48:49,280 --> 00:48:51,520
Speaker 8: and is your poll really reflective of the people that

1011
00:48:51,640 --> 00:48:54,239
Speaker 8: tast balance early and today? Now there's a lot of

1012
00:48:54,320 --> 00:48:57,080
Speaker 8: changes in the selection. Republicans vote a lot earlier and

1013
00:48:57,200 --> 00:48:59,160
Speaker 8: more often than we've ever seen. So did they adjust

1014
00:48:59,200 --> 00:49:02,120
Speaker 8: for those things? Maybe understating Republicans because they didn't measure that.

1015
00:49:02,760 --> 00:49:05,400
Speaker 8: So you want the panel that you're talking to the

1016
00:49:05,440 --> 00:49:07,440
Speaker 8: people you're exiting out of the polls, and when we.

1017
00:49:07,520 --> 00:49:09,680
Speaker 5: Do it at ap and I did this for ten years.

1018
00:49:10,000 --> 00:49:12,680
Speaker 8: You had a certain percentage of Republicans that wouldn't responsor,

1019
00:49:12,719 --> 00:49:14,120
Speaker 8: and then you have a bias factor, and you would

1020
00:49:14,120 --> 00:49:16,320
Speaker 8: adjust for these things to make sure that at the

1021
00:49:16,440 --> 00:49:18,959
Speaker 8: end you thought that the questions were answered by people

1022
00:49:19,000 --> 00:49:20,400
Speaker 8: that reflected who voted that day.

1023
00:49:20,840 --> 00:49:22,040
Speaker 11: There is a red flag if you.

1024
00:49:22,080 --> 00:49:25,480
Speaker 8: Have Kamala Harris underperforming the way she is, and yet

1025
00:49:25,520 --> 00:49:28,399
Speaker 8: people are saying democracy was their number one issue. There's

1026
00:49:28,440 --> 00:49:31,239
Speaker 8: only two possibilities. The polster got it wrong, or the

1027
00:49:31,280 --> 00:49:34,680
Speaker 8: people collecting the data got it wrong. Or here's another possibility,

1028
00:49:34,920 --> 00:49:37,560
Speaker 8: maybe Donald Trump's people think that democracy is at stake too,

1029
00:49:37,600 --> 00:49:39,600
Speaker 8: and this is what Joe Biden and Kamala Harris put

1030
00:49:39,640 --> 00:49:39,960
Speaker 8: ats sake.

1031
00:49:40,239 --> 00:49:41,960
Speaker 11: We will know in about an hour.

1032
00:49:41,800 --> 00:49:43,680
Speaker 8: After the real vote starts coming in what the bias

1033
00:49:43,760 --> 00:49:45,240
Speaker 8: factor is for all of these exit polls.

1034
00:49:45,400 --> 00:49:48,640
Speaker 3: Richard Burris, can you respond to the following Marjorie Taylor Green,

1035
00:49:48,719 --> 00:49:52,000
Speaker 3: the congressman, has just posted on Twitter something that just

1036
00:49:52,120 --> 00:49:56,080
Speaker 3: happened on CNN a moment ago. Chris Wallace is sitting

1037
00:49:56,120 --> 00:49:59,560
Speaker 3: there on a panel discussion talking. He goes, quote, it

1038
00:49:59,600 --> 00:50:03,200
Speaker 3: would be a miracle if Kamala wins with these numbers.

1039
00:50:03,840 --> 00:50:07,600
Speaker 3: Unquote Richard Barisher response to Chris Wallace.

1040
00:50:08,080 --> 00:50:13,160
Speaker 6: The right track, wrong track is seventy thirty negative. Nobody

1041
00:50:13,280 --> 00:50:16,640
Speaker 6: has ever won an election with the incumbent party with

1042
00:50:16,800 --> 00:50:17,960
Speaker 6: the wrong track being that.

1043
00:50:18,080 --> 00:50:19,520
Speaker 17: It's crazy, John crazy.

1044
00:50:19,760 --> 00:50:23,759
Speaker 6: When you look at dissatisfaction in the country, it's overwhelmingly

1045
00:50:24,160 --> 00:50:25,240
Speaker 6: overwhelmingly negative.

1046
00:50:25,239 --> 00:50:28,000
Speaker 17: Are you satisfied, are you not? Et cetera. Nobody is

1047
00:50:28,040 --> 00:50:30,000
Speaker 17: at Biden's approval is forty percent.

1048
00:50:30,480 --> 00:50:32,239
Speaker 6: This is something we talked about when we did our

1049
00:50:32,280 --> 00:50:36,920
Speaker 6: polls as well. Among everybody, the normies, you know, average Americans.

1050
00:50:36,480 --> 00:50:37,360
Speaker 17: It was actually lower.

1051
00:50:37,560 --> 00:50:39,800
Speaker 6: But among what we thought the likely elector it would be,

1052
00:50:39,880 --> 00:50:43,720
Speaker 6: which is more democratic than which is different than prior

1053
00:50:43,880 --> 00:50:46,600
Speaker 6: years when the likely elector attended to favor Republicans. That's

1054
00:50:46,640 --> 00:50:49,239
Speaker 6: because of this realignment we're all discussing right now. But

1055
00:50:49,400 --> 00:50:54,560
Speaker 6: his likely among likely voters' approval rating is at forty still,

1056
00:50:55,080 --> 00:50:59,600
Speaker 6: that is historically low. Just so people understand, when Gore

1057
00:50:59,680 --> 00:51:03,320
Speaker 6: loss Clinton was in the fifties, he was popular, Okay,

1058
00:51:03,600 --> 00:51:07,360
Speaker 6: when Barack Obama was reelected, he had broken through that

1059
00:51:07,480 --> 00:51:09,480
Speaker 6: forty seven point and he was headed on his way

1060
00:51:09,520 --> 00:51:13,600
Speaker 6: to fifty. When Hillary Clinton lost Barack Obama's approval rating.

1061
00:51:13,520 --> 00:51:17,719
Speaker 17: Was fifty four percent. Fifty four so nobody's ever won

1062
00:51:17,800 --> 00:51:18,480
Speaker 17: in this environment.

1063
00:51:18,960 --> 00:51:23,080
Speaker 5: Never never, Barris, We're gonna let you go. We'll have

1064
00:51:23,200 --> 00:51:25,160
Speaker 5: you back later. Where do people go to get your

1065
00:51:25,400 --> 00:51:26,520
Speaker 5: live stream right now?

1066
00:51:27,160 --> 00:51:28,400
Speaker 17: Best places on locals.

1067
00:51:28,440 --> 00:51:30,520
Speaker 6: We're all over YouTube and rumbling get her, but go

1068
00:51:30,600 --> 00:51:33,880
Speaker 6: to locals, People's pundit dot locals dot com, People's pundit

1069
00:51:33,960 --> 00:51:35,080
Speaker 6: dot locals dot com.

1070
00:51:35,160 --> 00:51:36,120
Speaker 17: I'll see you soon, Steve.

1071
00:51:37,160 --> 00:51:39,719
Speaker 5: We're Richard Barrisson is going to come back and join us.

1072
00:51:39,760 --> 00:51:41,239
Speaker 3: So later in the evening, we're going to take a

1073
00:51:41,280 --> 00:51:43,640
Speaker 3: short commercial break at the top of the hour. We're

1074
00:51:43,640 --> 00:51:45,960
Speaker 3: going to try to merge in Charlie Kirk and the

1075
00:51:46,080 --> 00:51:49,239
Speaker 3: team at Turning Point USA are doing their lives stream,

1076
00:51:49,320 --> 00:51:50,719
Speaker 3: going to try to merge them together here in Real

1077
00:51:50,760 --> 00:51:51,439
Speaker 3: America's voice.

1078
00:51:51,600 --> 00:51:52,160
Speaker 5: Matt Bowl of

1079
00:51:52,200 --> 00:51:56,560
Speaker 3: Breiitbart also joins the next hour Solomon Winter's Bannon Election Night,

1080
00:52:00,600 --> 00:52:02,839
Speaker 3: I must be pat