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Speaker 1: Warning. You're about to enter the arena and join the

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Speaker 1: Battle to.

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Speaker 2: Save America with your host Sean Carnell.

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Speaker 1: Good evening, America. Welcome battle crew. This is the show

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Speaker 1: Battleground Live. This is your home for kicking ass and

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Speaker 1: taking names and locking horns with the radical left. If

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Speaker 1: you like truth, you should probably tune into this show

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Speaker 1: because we bring the heat day in and day out. Folks,

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Speaker 1: It's Savage Wednesday from sea to Shining Sea and everybody

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Speaker 1: in between. Welcome American Patriots. It is great to have

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Speaker 1: you here. Of course, on this fine Savage Wednesday. We've

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Speaker 1: got Savage Rich Barris on deck for the show, and

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Speaker 1: as usual we're very very psyched to have them because

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Speaker 1: we have so much to discuss. Now, let me see

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Speaker 1: if I can give you a quick update on where

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Speaker 1: we are as a country of what happened over the

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Speaker 1: last about twenty four hours. And I'm gonna do this

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Speaker 1: for you because it's important. Nothing in politics happens by coincidence. Nothing,

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Speaker 1: there's always a reason, there's always something behind the scene,

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Speaker 1: there's always scheming that goes on. So in the last

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Speaker 1: twenty four hours, we've had the Department of Justice soulless

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Speaker 1: beady eyed, little freak Special Prosecutor Jack Smith files a

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Speaker 1: superseding indictment against President Trump in an attempt to skirt

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Speaker 1: around the Supreme Court ruling which smacked him down. Then

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Speaker 1: happening all at the same time, you had Democrats in

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Speaker 1: key swing states removing independent candidate but obviously he's a

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Speaker 1: radical left he himself, but he's an independent. Dems fought

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Speaker 1: to remove Cornell West in swing states at the same

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Speaker 1: time that this Department of Justice indictment is filed against Trump,

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Speaker 1: while simultaneously Democrats fighting in swing states in battleground states

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Speaker 1: to keep RFK Junior on the ballot. See democracy right,

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Speaker 1: like democracy or something democracy TM right. This is why

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Speaker 1: I tell you that the Democrats are an existential threat

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Speaker 1: to democracy. The whole reason they want Cornell West off

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Speaker 1: the ballot in swing states is because they know Cornell

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Speaker 1: West will likely siphon votes away from Cackling Kamala Harris.

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Speaker 1: The reason why they want RFK Junior on the ballot

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Speaker 1: in critical swing states like Michigan, Wisconsin, Pennsylvania is because

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Speaker 1: he will likely in those states at least hurt Trump

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Speaker 1: more than he hurts Kamala. In fact, you saw right

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Speaker 1: here on this show a couple of days ago in

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Speaker 1: interview with RFK Junior where they said they saw internal

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Speaker 1: polling poll after poll that said something like sixty percent

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Speaker 1: of RFK supporters would likely vote for Trump if RFK

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Speaker 1: Junior backed out of the race. That was right from

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Speaker 1: RFK Junior's own mouth. And so you have the DOJ

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Speaker 1: filing a superseding indictment. You have the Democrats fighting to

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Speaker 1: get Cornell West off the ballot in swing states. You

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Speaker 1: have the Democrats fighting to keep RFK Junior on the

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Speaker 1: ballot in key swing states because they believe it'll hurt Trump.

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Speaker 1: All while Mark Zuckerberg and Facebook admitted that they censored

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Speaker 1: posts in compliance with the Biden Harris administration to interfere

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Speaker 1: in the election in twenty twenty. So with hindsight bias

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Speaker 1: and the benefit of us looking in the rear view

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Speaker 1: mirror at the twenty twenty election, you believe me now,

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Speaker 1: and I think many of you, all, especially the original

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Speaker 1: gangsters here are members of the battle Crew, members of

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Speaker 1: mcgroin Nation. I think all of you kind of agreed

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Speaker 1: with me that yes, twenty twenty was one without a doubt,

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Speaker 1: rig on many different levels, not just at the ballot box.

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Speaker 1: Our intelligence agencies weaponized against the American people, the censoring

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Speaker 1: of the Hunter Biden laptop. Now Facebook admitting that they

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Speaker 1: censored posts in compliance with the Democrats. So here is

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Speaker 1: my recommendation to Republicans attorneys general in Republican states. And

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Speaker 1: there are probably some states where it will be you know,

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Speaker 1: they're not maybe deep red states, but states where it

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Speaker 1: could be close. Right. I just think that Republicans, if you,

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Speaker 1: if we live, if you're in a state where there

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Speaker 1: is a Republican controlled state government and a Republican attorney general,

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Speaker 1: Republican governor, Republican secretary of state, why the hell are

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Speaker 1: you removing Joe Biden's name from the ballot? I mean,

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Speaker 1: how is it possible to remove Joe Biden's name from

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Speaker 1: the ballot and replace it? But Kamala Harris but not

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Speaker 1: move RFK Juniors at his request see RFK JR. Asked

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Speaker 1: to be removed from the ballot in those states, citing

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Speaker 1: the fact that he endorsed Donald Trump. But you see,

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Speaker 1: the Democrats don't give a shit about democracy, That don't

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Speaker 1: care about elections. The only thing that they care about

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Speaker 1: is election rigging because they don't have any message anytime

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Speaker 1: they get Kamala Harris on stage, it's an absolute disaster.

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Speaker 1: And I'm sure you saw the news that she agreed

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Speaker 1: agreed to an interview with CNN, but she's got to

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Speaker 1: have a service animal there in Tim Wallas as her

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Speaker 1: safety blanket. She apparently can't do an interview on her own.

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Speaker 1: Also a condition of the debate, or I'm sorry, the

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Speaker 1: condition of the interview rather is that it has to

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Speaker 1: be taped. And then it's also with Dana Bash who,

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Speaker 1: by the way, is married to a Hunter Biden laptop

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Speaker 1: intelligence official, So you know the kind of questions she's

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Speaker 1: gonna get one softball question after the next. You know,

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Speaker 1: tell us how you are so amazing, Kamala Harris, please respond?

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Speaker 1: Or what flavor ice cream do you like best? Please respond?

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Speaker 1: And oh, by the way, the whole thing will be

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Speaker 1: taped so they can edit it, just as any propaganda

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Speaker 1: outlet would do. And of course that's going to be

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Speaker 1: the case. But the Democrats cannot afford to have Kamala

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Speaker 1: Harris out there without a safety blanket because she says

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Speaker 1: crazy stuff like this.

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Speaker 3: Being incarcerated for a couple of days is traumatic, much

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Speaker 3: less the weeks, months, and years that we're seeing that happen,

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Speaker 3: and so part of my plan is also a reduction

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Speaker 3: of that. And then also again what we need to

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Speaker 3: do about taking demilitarizing our schools and taking police officers

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Speaker 3: out of schools. We need to deal with the reality

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Speaker 3: and speak the truth about the inequities around school discipline

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Speaker 3: were in.

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Speaker 1: Particular taking cops out of schools. Let me just tell

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Speaker 1: you is not is not a great way to win

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Speaker 1: the suburbs. Trust me. I've seen the polling on this.

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Speaker 1: People don't support this idea. But Kamala Harris, I mean,

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Speaker 1: there's a SoundBite for every one of her radical positions,

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Speaker 1: which is why we did an entire show yesterday on

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Speaker 1: her flip flopping and we used her own words against her.

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Speaker 1: And the Trump campaign, by the way, is running some

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Speaker 1: brilliant ads and battleground states talking about the Great Debate

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Speaker 1: and using Kamala Harris debating. You guessed it, Kamala Harris,

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Speaker 1: very very It's very effective when you can use a

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Speaker 1: candidate's own words against them. So, okay, I got saidavage

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Speaker 1: Rich Barris on deck and he's he's amazing. I don't

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Speaker 1: want to waste even a second of his time. But

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Speaker 1: let me tell you, get a couple of reads in

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Speaker 1: here and then we'll get right to him. There's also

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Speaker 1: this Trump assassination attempt video that you've got to see.

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Speaker 1: I'd like to get Savage Rich's reaction to this as well.

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Speaker 1: But it you know, obviously the assassination attempt, there were

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Speaker 1: thousands of cell phone videos of that day. Well, there

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Speaker 1: is a video floating around out there that I'm not

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Speaker 1: sure when it came out, and I'm not sure who

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Speaker 1: put it together, but it's it's brilliant and that it

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Speaker 1: combines many of the prominent cell phone videos or footage

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Speaker 1: that were taken that day and synks them all up

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Speaker 1: and what you will see will kind of it's kind

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Speaker 1: of shocking. It's kind of shocking. So I want to

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Speaker 1: show you that. Okay, so we got Savage Ridge Barris

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Speaker 1: on deck, and here he is, my friend, director of

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Speaker 1: Big Yeah, a host of Inside the Numbers. I don't

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Speaker 1: want to Eddie Moore of the Battle Cruise time when

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Speaker 1: we have you on deck, especially since you were m

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Speaker 1: I A last Wednesday, you are harder to get in

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Speaker 1: contact with than President Trump. You know this, you were,

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Speaker 1: you were you see how that's how what you just

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Speaker 1: did there is is kind of how at some point

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Speaker 1: Kamala Harris, if she keeps stealing all these Trump positions,

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Speaker 1: which by the way, it's the border wall bro, at

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Speaker 1: some point she's just gonna kind of come out on

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Speaker 1: stage with a make America Great Again hat. I'm convinced

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Speaker 1: of it. But it shows you that Trump isn't the

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Speaker 1: extremist that the media pretends that he is, because Kamala

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Speaker 1: wouldn't be taking all of his positions if he were.

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Speaker 2: Right. Yeah, and uh, you know, you always want to

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Speaker 2: watch what they're doing instead of like what they claim,

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Speaker 2: you know, like is going on what they claim is

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Speaker 2: the reality. Another great example of when I was listening folks,

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Speaker 2: I just pulled RFK supporters and I'm listening to these

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Speaker 2: people do a complete one eighty from what they have

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Speaker 2: been saying for months about RFK support. And we know

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Speaker 2: what the numbers are because we just did it and

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Speaker 2: we're continuing to pull now. I mean, I can tell

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Speaker 2: you a little bit about the findings even though the

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Speaker 2: poll's not out now. I mean, what we were doing

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Speaker 2: was pulling during the convention. The whole entire exercise was

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Speaker 2: to show people, what how long does it take for

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Speaker 2: someone to get a convention bump? What are you looking for?

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Speaker 2: How big should it be? You know, and and you know,

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Speaker 2: and compare that to what you're hearing in the media

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Speaker 2: and from surrogates, and you just see how untrue it is. Right,

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Speaker 2: So you watch their actions and the fact of the

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Speaker 2: matter is they are saying publicly that the endorsement, that

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Speaker 2: dropping out in the endorsement of RFK doesn't mean anything. Well,

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Speaker 2: then why are you trying to keep them on the

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Speaker 2: ballot and back?

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Speaker 1: And the movement in the States such that is that

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Speaker 1: is I've not heard that poe of shit. And it's

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Speaker 1: a it's a great point. It's a great it's a

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Speaker 1: great point.

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Speaker 2: Yeah, I mean sixty percent of his vote brother is

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Speaker 2: like and more it could be more forty percent, a

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Speaker 2: little over forty percent. Immediately and organically, without Trump on

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Speaker 2: the ballot went to i mean, without RFKN, the ballot

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Speaker 2: went to Donald Trump, about a quarter goes to Harris

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Speaker 2: Another roughly uh twenty percent fifteen twenty percent say that

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Speaker 2: their third party. But they could be persuaded if RFK

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Speaker 2: was to endorse Trump, because of course we asked this

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Speaker 2: before the endorsement. Uh, you know, if RFK was to

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Speaker 2: endorse Trump, then we could be persuaded, depending on, you know,

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Speaker 2: whether Trump grabs on of some issues we care about,

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Speaker 2: and we did ask about those issues. But people should

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Speaker 2: know the gist of it. Because of the Four Freedoms poll,

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Speaker 2: you saw that that was passed to the Trump campaign.

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Speaker 2: Apparently that was also put in front of Robert of

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Speaker 2: Bobby's face. You know, so the two of these camps

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Speaker 2: were looking at that data and saying, you know, there's

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Speaker 2: synergy here, and then another you know, roughly ten twelve percent,

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Speaker 2: Sean say that I don't know, maybe I won't vote,

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Speaker 2: you know, I mean that those are the numbers. And

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Speaker 2: we know that that's the case because we had been

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Speaker 2: asking during the primary season, if your candidate's not on

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Speaker 2: the ballot in November, what will you do? And it

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Speaker 2: was always the case that Trump was getting like a

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Speaker 2: third to you know, you know, roughly a third already

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Speaker 2: at that time of Robert Kennedy's vote. And obviously if

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Speaker 2: you compare the RCP five way six way averages with

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Speaker 2: the head to head Trump was doing better in the

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Speaker 2: head to head in the battleground states and nationally. Why

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Speaker 2: is that because without Robert Kennedy on the ballad, and

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Speaker 2: given the fact that they have to choose someone in

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Speaker 2: a poll, they were choosing Trump. So the goal is

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Speaker 2: to just get them to the voting booth, get them

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Speaker 2: to return an absentee ballad. And when that and that's

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Speaker 2: what Democrats are afraid of, you get them to the polls.

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Speaker 2: And it is the margin. It's the margin, which I

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Speaker 2: already am unconvinced is even a margin. I really am.

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Speaker 2: You know, Mark Halper is just.

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Speaker 1: That thought. I got that sound.

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Speaker 2: I do because I mean, honest, I have the second

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Speaker 2: bad for her, Sean, It's bad their poles suck for her.

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Speaker 2: Stop pretending hold that thought.

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Speaker 1: You're exactly right. I want to get to that in

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Speaker 1: a second. But I want to get your feedback on

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Speaker 1: some of this this stuff that broke right before the show.

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Speaker 1: Check this out. First of all, this is you know,

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Speaker 1: Jack pisobic. You know, this is the FBI releasing the

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Speaker 1: first photos of the explosives made by crooks found in

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Speaker 1: his car. Uh Human Events reported last month that they

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Speaker 1: were ammocam bombs and not pipe bombs. And that's it

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Speaker 1: looks like exactly what the exactly what they are so again.

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Speaker 1: You know you're somebody who who served. I served. You

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Speaker 1: don't learn how to do this on the internet, man,

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Speaker 1: do this from a law like somebody who's.

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Speaker 2: Someone showed him how to do this, no.

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Speaker 1: Doubt in my mind. I said it in the show

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Speaker 1: weeks ago. Let's working with somebody else. He's working with

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Speaker 1: somebody else. And you've got to see this this video,

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Speaker 1: it's it's a little bit long, but it's three minutes,

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Speaker 1: but you gotta see it rich because it syncs up

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Speaker 1: all of the most prominent videos of the day. And

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Speaker 1: there's a takeaway that that everyone absolutely has to know.

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Speaker 1: And I'll tell him before people go in so people

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Speaker 1: can like. What you're gonna see and if you're just listening,

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Speaker 1: is a video synced up of multiple videos that happened

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Speaker 1: that day. And what it shows clearly is that you

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Speaker 1: know Crooks was on the roof during on the July

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Speaker 1: thirteenth rally. He was on the roof for what it

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Speaker 1: seemed like over three minutes. Man, So I'm gonna add this.

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Speaker 1: Just check this out. It's it's it's it's crazy.

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Speaker 4: Senator votes with Biden whoever happens to be the furthest

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Speaker 4: left we gotta McCormick.

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Speaker 2: We gotta get McCormick. Press McCormick.

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Speaker 4: Yep, he's a good man too, he's a he's a

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Speaker 4: value in fighter.

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Speaker 2: He's a great, great job.

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Speaker 1: So you can hear as Trump is talking about Dave

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Speaker 1: McCormick canadate here in Pennsylvania. And I paused it said, look,

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Speaker 1: as Trump is saying this, in that exact moment, the people,

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Speaker 1: the cops, the local cops by the way, are saying,

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Speaker 1: there's somebody on the roof. And now you can see

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Speaker 1: as he's sat talking about McCormick, crooks in that moment

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Speaker 1: is running across the building. So we'll go on check

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Speaker 1: this out, gentlemen. We're gonna bring him up for it.

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Speaker 2: Can we bring him up for a couple of minutes?

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Speaker 4: All right, you get ready, mccarmick, You get ready.

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Speaker 1: I'll get you up here. The world go see if I've.

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Speaker 4: Been a Republican party that is bigger, stronger.

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Speaker 1: And more confident and more united than ever before. And

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Speaker 1: that's what we are with the most united party.

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Speaker 3: Now.

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Speaker 1: You know, it's so all that banging around. If you're

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Speaker 1: listening Trump is talking, the cops are scrambling to the roof,

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Speaker 1: so again they know that there's somebody on the roof.

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Speaker 1: They see crooks running, I mean, and then Trump to

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Speaker 1: just keep talking. They keep the guy on the stage watching.

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Speaker 4: The fake news go crazy because they're saying the republic

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Speaker 4: licking party has not been united since Ronald Reagan. Like

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Speaker 4: Ronald Reagan the second time, it was very united. And

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Speaker 4: they said, there's never been anything like it. They've never

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Speaker 4: seen a movement like this, make America great again.

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Speaker 1: You know, Joe Biden.

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Speaker 4: Talks about we have to stop maga.

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Speaker 1: Maga means make America great again.

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Speaker 4: Joe, it's all I want to do.

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Speaker 1: If you want to do this job, I wouldn't even

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Speaker 1: be doing this. I'd be at some beautiful place with.

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Speaker 4: A gorgeous ocean on the Mediterranean, the Atlantic, maybe the Pacific.

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Speaker 5: N't the roof.

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Speaker 2: God, thank god, the FBI, CIA, whoever did this, because

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Speaker 2: they did, Thank god who whichever one of these alphabet

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Speaker 2: agencies found this kid. All right, it was him on

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Speaker 2: that roof instead of somebody like you and I, Because

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Speaker 2: if I was on that roof, or if you were

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Speaker 2: on that roof, Trump would be dead. And you know it,

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Speaker 2: and I know it.

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Speaker 1: It's kind of listen, it's kind of unbelievable. The only

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Speaker 1: reason he survived is because he turned his head at this.

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Speaker 2: But it wouldn't have taken you that long. It wouldn't

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Speaker 2: have taken me that long. All right. They found some

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Speaker 2: schmuck that they could push nudge, like they found somebody

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Speaker 2: to kill Malcolm, like they found somebody to kill doctor King,

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Speaker 2: like they found somebody to kill Kennedy. I mean, this

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Speaker 2: is what they do. And here's a funny thing. And

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Speaker 2: the same person, John that I relate things to you

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Speaker 2: immediately after this event which are obviously panning out to

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Speaker 2: be true, the same person his entire job, well, the

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Speaker 2: same person I got that information from. His entire job

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Speaker 2: was to do this kind of thing in other countries.

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Speaker 2: You know what he said, I recognize my own work,

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Speaker 2: I recognize my own handiwork like I know my craft,

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Speaker 2: I know my trade. So that's how immediately he knew

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Speaker 2: that some schmuck from nowhere, right, no training to speak of,

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Speaker 2: no formal training anyway to speak of, no person of renown,

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Speaker 2: no person of accomplishment. This is a great target, a

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Speaker 2: perfect asset, all right. So, by the way, you could argue,

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Speaker 2: was Lee Harvey Oswald, the perfect Patsy.

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Speaker 1: Right.

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Speaker 2: This is what they do. This is their job to

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Speaker 2: find disgruntled people on the edge of society, people who

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Speaker 2: are impressionable, influence influenced, easily influenced. And you know, you

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Speaker 2: give them just enough tools. You don't give him the whole,

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Speaker 2: you know, the whole kit and kaboodle. You give him

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Speaker 2: enough if he was a pro. If he was a pro,

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Speaker 2: Trump wouldn't have stood a chance. And by the way, notice,

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Speaker 2: and I'm sorry, I can't believe there aren't more Republicans

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Speaker 2: saying this. Notice it was local law enforcem Why are

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Speaker 2: they the ones pursuing this and and and chasing this

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Speaker 2: thing down because they weren't in the loop. Because they

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Speaker 2: were not in the loop. That's that's what I'm like

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Speaker 2: to kill this man. And this is not okay.

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Speaker 1: What's crazy, Rich is you're absolutely right. Local law enforcement

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Speaker 1: is first of all, being thrown to the wolves on

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Speaker 1: multiple fronts. They're scrambling, they're scrambling and reacting here and

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Speaker 1: sitting up in the Republic, Rich, that that they tried

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Speaker 1: to give encrypted local law enforcement tried to give encrypted

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Speaker 1: communication capability to the Secret Service so they can communicate

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Speaker 1: secret Service, didn't do the morning meeting, they didn't take

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Speaker 1: the comms devices. And what I want people to as

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Speaker 1: we continue to watch this and listen to this, Trump

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Speaker 1: is on the stage this entire time talking. He should

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Speaker 1: have just been brought off the stage. They should have

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Speaker 1: walked him off the stage. That's the easiest thing in

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Speaker 1: the world. They know that there's a guy on the roof.

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Speaker 1: The crowd is saying there's a man up there with

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Speaker 1: a rifle and calling for the cops. Nothing is happening.

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Speaker 1: Let's keep it's keep watching, break and set.

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Speaker 4: I'm here with you, finding like yell to get us

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Speaker 4: Senate and to make sure we take back to White House,

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Speaker 4: because if we do, we're going.

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Speaker 2: To make America better than ever before. We're gonna make it.

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Speaker 4: And it's not easy because we have millions and millions

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Speaker 4: of people in our country that shouldn't be here, dangerous people, criminals.

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Speaker 2: We have criminals, we have drug dealers that should not

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Speaker 2: be here.

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Speaker 1: And it's much tougher do his job. You know, we

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Speaker 1: had the song.

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Speaker 2: So much you can do and he doesn't have the best.

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Speaker 1: I know you have the run over to it. I know,

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Speaker 1: I know it's crazy.

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Speaker 4: They could ever put.

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Speaker 1: Up a shot. I don't know if they can do.

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Speaker 4: Do you guys have fallen into that shot that I

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Speaker 4: love so much? You don't mind it m Don's telepropter,

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Speaker 4: do you, because he's still the proctors just damn boring.

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Speaker 1: I try and explain that, Oh, there is it.

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Speaker 4: Wow, you guys are doing it.

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Speaker 1: They're getting better with time. My guys, take a look

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Speaker 1: at that charge.

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Speaker 2: Take a look at the arrow in the bottom.

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Speaker 1: See the big r red arrow.

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Speaker 4: Right, So that's when I left office.

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Speaker 1: That was the lowest point, and.

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Speaker 4: That comes right from the government services, comes right out

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Speaker 4: of border patrol.

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Speaker 1: Arrow.

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Speaker 4: It is the lowest amount of illegal immigration ever recorded

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Speaker 4: history into our country.

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Speaker 2: Gouting into it and then outing in news radio right now,

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Speaker 2: you see that running going like.

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Speaker 4: That, and then the worst president in the history of

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Speaker 4: our country took over, and look what happened.

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Speaker 2: To arch distry.

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Speaker 1: Only twenty million people. You hear the crowd maker, And

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Speaker 1: you know that's a little bit old, that.

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Speaker 4: Chart, that charts a couple of months old. And if

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Speaker 4: you want to really see something to serve, take a look.

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Speaker 1: That's it's crazy, right that. Here's what's what's so crazy

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Speaker 1: to me about that whole thing, and I promised to

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Speaker 1: talk about this because no one else is see guys

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Speaker 1: on stage the whole time he's on stage.

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Speaker 2: Better kill the guy. Don't let them get him alive.

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Speaker 2: Don't let them take him alive. He's gonna talk, kill him.

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Speaker 1: I mean, why not just get Trump off the stage.

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Speaker 1: I don't understand, Like, it's just that to me is

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Speaker 1: like Barack Obama.

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Speaker 2: You you think that would have carried.

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Speaker 1: On for as long as it would have No, No,

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Speaker 1: of course, not, of course, not like it. It's just again,

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Speaker 1: I come back to it all the time. It's just

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Speaker 1: incomprehensible to me. Rich It's just that something like that

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Speaker 1: could happen. And of course the AP is out there saying, well,

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Speaker 1: you know, the the the the shooter was looking for

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Speaker 1: Biden rallies and looking for and looking for Trump events

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Speaker 1: to try to Now that's not this was political. That

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Speaker 1: the very fact that the media is pushing that narrative

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Speaker 1: should be a red flag to everybody like this. They're

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Speaker 1: trying to make it seem like, oh well, he was

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Speaker 1: just gonna go after targets of opportunity. Give me a break,

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Speaker 1: give me a.

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Speaker 2: Break evidence for how you know that that is bullshit

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Speaker 2: is that there was even an opportunity. Okay, he didn't

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Speaker 2: just stumble into the open door that they left for

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Speaker 2: him to kill this man. That's what they did. Everybody

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Speaker 2: better just get you just just accept it. Just accept it.

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Speaker 2: This was supposed to go differently. Donald Trump should be

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Speaker 2: dead right now. That's what they expected to happen. That's

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Speaker 2: what they anticipated to happen. That's what they wanted to happen.

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Speaker 2: And I think everyone better like take their heads out

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Speaker 2: of their asses, like we told them from day one

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Speaker 2: and realize that's what's going on here. And by the way,

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Speaker 2: may have to get ready for another shot because the

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Speaker 2: polls aren't going very well for Harris. So what are

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Speaker 2: they gonna do if Jack Smith can't pull some less

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Speaker 2: minute magic trick, you know, pull a rabbit from his hat.

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Speaker 2: Because I got news for you, this indictment. Are you ready?

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Speaker 2: I'm gonna I'm gonna give you exactly the probability that

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Speaker 2: this indictment is gonna negatively impact Donald Trump? Are you ready?

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Speaker 2: And once they realize that they're gonna take another shot,

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Speaker 2: I wouldn't be surprised, would you. I would?

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Speaker 1: I mean, here's here's what I know. Here's what I know, Rich,

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Speaker 1: the Department of Justice, the Department of Homeland Security, the

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Speaker 1: Biden administration deliberately and this is without question, this isn't

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Speaker 1: speculation on my part. They deliberately starve President Trump of

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Speaker 1: resources and the hopes that something like this would happen.

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Speaker 1: And they did, and they did the s same thing

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Speaker 1: the r FK.

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Speaker 2: I wouldn't argue it's in the hope, Sean. I would

434
00:25:04,320 --> 00:25:06,800
Speaker 2: argue they did it intentionally to allow this plot to

435
00:25:07,160 --> 00:25:10,159
Speaker 2: go forward. That's what I mean. I don't think it

436
00:25:10,240 --> 00:25:13,720
Speaker 2: was like, oh, I kind of hope it happens. I

437
00:25:13,760 --> 00:25:17,480
Speaker 2: think it was somebody do it. That's that's what that

438
00:25:17,680 --> 00:25:21,359
Speaker 2: is what I I just I don't suspect. I'm telling

439
00:25:21,359 --> 00:25:22,080
Speaker 2: you that's the way.

440
00:25:22,359 --> 00:25:23,720
Speaker 1: Well, what's another thing that.

441
00:25:25,280 --> 00:25:28,600
Speaker 2: Oh, sorry, no, no, they do After Robert Kennedy endors

442
00:25:28,640 --> 00:25:30,919
Speaker 2: Donald Trump last week, it was the first thing they did.

443
00:25:31,240 --> 00:25:34,160
Speaker 1: Oh remove a Secret Service protection. Yeah right, yeah. He's

444
00:25:34,200 --> 00:25:37,199
Speaker 1: no longer a Candida or now too, Robert, You're no

445
00:25:37,280 --> 00:25:39,720
Speaker 1: longer a Canada anymore. But you stay on those ballots

446
00:25:39,720 --> 00:25:42,520
Speaker 1: in the Swing States because you know, democracy or something.

447
00:25:43,480 --> 00:25:46,920
Speaker 1: But the formation I saw Mike Davis talking to Pasobic

448
00:25:47,040 --> 00:25:48,800
Speaker 1: today or I think he was on war room or

449
00:25:48,800 --> 00:25:52,159
Speaker 1: something talking about why are if the shooter, I mean

450
00:25:52,200 --> 00:25:55,040
Speaker 1: Crooks is dead, but why why are people in Western

451
00:25:55,040 --> 00:25:57,760
Speaker 1: Pennsylvania or there's a there's a there is a grand

452
00:25:57,840 --> 00:26:00,920
Speaker 1: jury being formed in Western Pennsylvania right now, and they

453
00:26:00,920 --> 00:26:06,960
Speaker 1: have Crook's father lawyering up with high powered lawyers. What

454
00:26:07,119 --> 00:26:09,800
Speaker 1: is going on here? What is going on? I mean,

455
00:26:09,880 --> 00:26:10,840
Speaker 1: there is a.

456
00:26:10,920 --> 00:26:14,040
Speaker 2: Joke apparently not broke, but like certainly does not appear

457
00:26:14,080 --> 00:26:15,240
Speaker 2: that he can afford them.

458
00:26:15,119 --> 00:26:17,479
Speaker 1: Right exactly, it's the truth. I mean, I think they

459
00:26:17,480 --> 00:26:20,280
Speaker 1: said he was a social worker, and so yes, he is.

460
00:26:20,320 --> 00:26:24,720
Speaker 1: They report, they report, they call in, Like Crooks his

461
00:26:24,760 --> 00:26:26,720
Speaker 1: father calls in and only been missing for a couple

462
00:26:26,760 --> 00:26:29,120
Speaker 1: of hours, but calls into the police and says, hey,

463
00:26:29,160 --> 00:26:32,480
Speaker 1: my son's missing after a couple of hours. What's going

464
00:26:32,520 --> 00:26:35,600
Speaker 1: on there? Like there's something clearly that I mean, obviously

465
00:26:35,640 --> 00:26:38,600
Speaker 1: they're not telling us what's really going on here. And

466
00:26:39,440 --> 00:26:41,840
Speaker 1: the reason for that is I think that whatever whatever

467
00:26:41,880 --> 00:26:44,439
Speaker 1: it is they're keeping from the American people not going

468
00:26:44,520 --> 00:26:46,080
Speaker 1: to look favorable upon.

469
00:26:47,480 --> 00:26:47,560
Speaker 2: You.

470
00:26:47,680 --> 00:26:50,119
Speaker 1: Obviously not gonna look favorable on the Secret Service, but

471
00:26:50,160 --> 00:26:51,920
Speaker 1: I think it's gonna look even worse I think it's

472
00:26:51,960 --> 00:26:54,560
Speaker 1: gonna look like exactly what you and I have been

473
00:26:54,600 --> 00:26:58,119
Speaker 1: warning about on this show for seven months.

474
00:26:58,320 --> 00:27:00,280
Speaker 2: The State tried to kill'd Donald Trump, and.

475
00:27:00,280 --> 00:27:04,199
Speaker 1: People called and people called us crazy even you know,

476
00:27:04,280 --> 00:27:06,960
Speaker 1: I know it's a bold statement, but it's like when

477
00:27:07,000 --> 00:27:10,760
Speaker 1: you are so here's here's the thing, if you don't

478
00:27:10,840 --> 00:27:14,480
Speaker 1: want people to come to that conclusion. And frankly you're

479
00:27:14,480 --> 00:27:16,520
Speaker 1: more bold on this than me. I'm not there yet.

480
00:27:16,720 --> 00:27:20,000
Speaker 1: I think that, like the State, I've seen it some

481
00:27:20,280 --> 00:27:24,000
Speaker 1: some sense of plausible deniability. Oh well, hey, we hey,

482
00:27:24,040 --> 00:27:26,679
Speaker 1: oh this is terrible that this happened, you know, but

483
00:27:27,080 --> 00:27:30,200
Speaker 1: secretly they're all hoping for it, just in the hopes

484
00:27:30,280 --> 00:27:31,520
Speaker 1: but through starvingham of regal.

485
00:27:32,000 --> 00:27:34,920
Speaker 2: And maybe maybe that turns out to be the case

486
00:27:34,960 --> 00:27:37,280
Speaker 2: that the left hand didn't exactly know what the right

487
00:27:37,280 --> 00:27:39,920
Speaker 2: hand was doing, but they gave them like right right.

488
00:27:39,960 --> 00:27:42,480
Speaker 1: They had like a whole set the conditions, I mean.

489
00:27:42,400 --> 00:27:44,680
Speaker 2: Clearly set the conditions period.

490
00:27:44,920 --> 00:27:47,480
Speaker 1: And look it is. It is a here's what I'll

491
00:27:47,520 --> 00:27:50,520
Speaker 1: tell you. All of the things that we have been

492
00:27:50,560 --> 00:27:55,240
Speaker 1: talking about for weeks about about July thirteenth, all of

493
00:27:55,280 --> 00:27:59,120
Speaker 1: the catastrophic things that have gone wrong, and I've said

494
00:27:59,240 --> 00:28:01,880
Speaker 1: each step of away. It's the same damn word. It's

495
00:28:01,920 --> 00:28:07,600
Speaker 1: just incomprehensible. Okay, clearly something is not right, something went awry.

496
00:28:07,800 --> 00:28:11,359
Speaker 1: They're like everything went wrong and just the right way

497
00:28:11,760 --> 00:28:14,840
Speaker 1: exactly it is. I'll tell you this. I would put

498
00:28:14,880 --> 00:28:18,080
Speaker 1: forth on the show, like it is a conspiracy theory

499
00:28:18,440 --> 00:28:20,520
Speaker 1: to just think it was an accident. Yeah, it is

500
00:28:20,560 --> 00:28:23,520
Speaker 1: a conspiracy theory to just think this was a random

501
00:28:23,560 --> 00:28:26,240
Speaker 1: event when you have all of these other data points

502
00:28:26,359 --> 00:28:29,640
Speaker 1: that just fell in line, that just happened to be. Oh,

503
00:28:29,760 --> 00:28:33,160
Speaker 1: it was just a coincidence, just a coincidence. Bullshit. It's

504
00:28:33,200 --> 00:28:35,440
Speaker 1: a conspiracy theory to think it was just a random

505
00:28:35,520 --> 00:28:38,280
Speaker 1: act of violence. That's what it's and that's what they

506
00:28:38,320 --> 00:28:40,880
Speaker 1: would have us believe because they memory hold the whole

507
00:28:40,960 --> 00:28:41,400
Speaker 1: damn thing.

508
00:28:41,840 --> 00:28:45,720
Speaker 2: Sean, let me because he what's important to is to

509
00:28:45,800 --> 00:28:50,320
Speaker 2: remember the past behavior of the people were questioning here. Okay,

510
00:28:50,760 --> 00:28:54,920
Speaker 2: it's important to remember, like, uh, I'm not a believer

511
00:28:55,000 --> 00:28:57,440
Speaker 2: that leopards don't change their stripes, but I am a

512
00:28:57,480 --> 00:29:00,840
Speaker 2: believer that government leopards don't change their stripes. Okay, government

513
00:29:00,920 --> 00:29:05,280
Speaker 2: is totally different people individually, that's a different story. This

514
00:29:05,440 --> 00:29:08,040
Speaker 2: is a government that has done this before. This is

515
00:29:08,040 --> 00:29:11,240
Speaker 2: a government that has perfected this. And actually Trump is

516
00:29:11,320 --> 00:29:15,960
Speaker 2: super lucky that he is alive because the survival rate

517
00:29:16,440 --> 00:29:20,480
Speaker 2: is not very high when this happens. And you have

518
00:29:20,560 --> 00:29:23,680
Speaker 2: to like, let me tell like a little story. You

519
00:29:23,720 --> 00:29:27,160
Speaker 2: go to a bar, you sit down next to a guy,

520
00:29:27,480 --> 00:29:30,880
Speaker 2: You put your keys on the table, You order a drink. Hey,

521
00:29:30,960 --> 00:29:34,280
Speaker 2: guy starts talking you up, and after three or four drinks,

522
00:29:34,400 --> 00:29:37,560
Speaker 2: you gotta take a piss, right, You leave your keys

523
00:29:37,600 --> 00:29:40,560
Speaker 2: to the table, You go take a leak. You come back,

524
00:29:40,840 --> 00:29:43,960
Speaker 2: your car's gone. Thirty minutes later, forty minutes later, the

525
00:29:43,960 --> 00:29:46,840
Speaker 2: guy strolls in. You find out he's a car thief.

526
00:29:46,920 --> 00:29:50,120
Speaker 2: He's been to jail like five times for stealing cars. Right,

527
00:29:50,120 --> 00:29:52,960
Speaker 2: but he says, Bro, you gotta believe me, I didn't

528
00:29:53,000 --> 00:29:56,600
Speaker 2: take your car. Like the government who has killed people before,

529
00:29:56,760 --> 00:30:01,040
Speaker 2: has done exactly this very thing, all right, cultivated an

530
00:30:01,040 --> 00:30:05,400
Speaker 2: impressionable person, cultivated somebody of no no real round. And

531
00:30:05,440 --> 00:30:07,800
Speaker 2: they do that so you don't see them coming. Okay,

532
00:30:08,120 --> 00:30:09,880
Speaker 2: that's why they do that. Like if they went and

533
00:30:09,920 --> 00:30:13,200
Speaker 2: said I'm gonna go recruit somebody like Sean or Dean, right,

534
00:30:13,720 --> 00:30:15,880
Speaker 2: then that's going to raise the red flag, you know,

535
00:30:15,960 --> 00:30:20,240
Speaker 2: and it's gonna be somebody that you know, you're they're obvious, right, right,

536
00:30:20,320 --> 00:30:23,920
Speaker 2: of course they're obvious, yeah, And so you don't do that,

537
00:30:24,040 --> 00:30:26,959
Speaker 2: they don't, right, So this is how it's done. And

538
00:30:27,000 --> 00:30:29,440
Speaker 2: you would have to believe, you would have to be

539
00:30:29,600 --> 00:30:32,960
Speaker 2: so stupid that you would be that guy at the

540
00:30:33,000 --> 00:30:35,400
Speaker 2: bar who would take the car thief's word for it,

541
00:30:35,680 --> 00:30:38,840
Speaker 2: right that. I guess he didn't, you know, I guess

542
00:30:38,840 --> 00:30:41,200
Speaker 2: he didn't. It's kind of like unfair for me to

543
00:30:41,240 --> 00:30:44,600
Speaker 2: blame them, and what a conspiracy theory. The only evidence

544
00:30:44,680 --> 00:30:47,320
Speaker 2: I have is that he is in fact a car

545
00:30:47,400 --> 00:30:49,800
Speaker 2: thief and has stolen many, many, many many cars in

546
00:30:49,840 --> 00:30:52,720
Speaker 2: the past, and that I left the keys on the bar,

547
00:30:52,920 --> 00:30:55,560
Speaker 2: I opened the door, and I left the keys on

548
00:30:55,600 --> 00:30:58,160
Speaker 2: the bar to do it, you know. And but it's

549
00:30:58,160 --> 00:31:00,400
Speaker 2: a conspiracy theory because I really have no more evidence

550
00:31:00,440 --> 00:31:03,920
Speaker 2: other than that, Like, that's what you're asking us to

551
00:31:04,000 --> 00:31:05,520
Speaker 2: believe here, same thing.

552
00:31:06,160 --> 00:31:08,360
Speaker 1: It's a good way, Rich, It's a really good way

553
00:31:08,400 --> 00:31:09,040
Speaker 1: to explain it.

554
00:31:09,080 --> 00:31:12,880
Speaker 2: Man, their killers. They're killers, that's what they are, all right,

555
00:31:13,200 --> 00:31:16,040
Speaker 2: They're killers, all right, I mean, that's what government does.

556
00:31:16,800 --> 00:31:19,440
Speaker 2: And how the hell did everybody forget this. I got

557
00:31:19,440 --> 00:31:23,240
Speaker 2: a word for all of you, demicide, all right. It

558
00:31:23,360 --> 00:31:27,320
Speaker 2: means death by government and it was the leading cause

559
00:31:27,640 --> 00:31:31,680
Speaker 2: of the extinguishing of human souls in the last century.

560
00:31:31,760 --> 00:31:35,840
Speaker 2: And nothing was even close. Okay, this is what government does.

561
00:31:36,960 --> 00:31:41,880
Speaker 2: It's a force of bad. It is not some arbitrary

562
00:31:41,960 --> 00:31:46,480
Speaker 2: referee that creates or or you know, is a vehicle

563
00:31:46,800 --> 00:31:49,520
Speaker 2: from which the people can right all the wrongs in

564
00:31:49,640 --> 00:31:54,320
Speaker 2: society and be the social justice referees to protect the innocent.

565
00:31:54,200 --> 00:31:56,760
Speaker 1: To feed the poor, to bullshit.

566
00:31:57,160 --> 00:31:59,840
Speaker 2: That has never been in the history of human civilis

567
00:31:59,880 --> 00:32:04,640
Speaker 2: the role of government, never And in this tiny little

568
00:32:05,280 --> 00:32:08,080
Speaker 2: span of a couple hundred years, we had some really

569
00:32:08,080 --> 00:32:10,760
Speaker 2: smart people who knew that and tried to design a

570
00:32:10,800 --> 00:32:13,719
Speaker 2: government that was so limited in its scope and nature,

571
00:32:14,040 --> 00:32:17,960
Speaker 2: so small that it wasn't capable. It didn't have the

572
00:32:18,040 --> 00:32:21,440
Speaker 2: power to do that because they knew, and it gave

573
00:32:21,520 --> 00:32:26,440
Speaker 2: the power to the smallest, closest forms of government to

574
00:32:26,480 --> 00:32:31,120
Speaker 2: be able to counter that giant federal monster that ends

575
00:32:31,200 --> 00:32:34,400
Speaker 2: up being a force of tyranny and murder and mayhem

576
00:32:34,720 --> 00:32:37,600
Speaker 2: and misery, because that is what it is. That is

577
00:32:37,720 --> 00:32:42,840
Speaker 2: ultimately the flaw with left of s ideologies. They erroneously

578
00:32:42,960 --> 00:32:46,240
Speaker 2: see government as a force for good, as a way

579
00:32:46,280 --> 00:32:51,240
Speaker 2: to balance the scales of all societies and justices. Show me, please,

580
00:32:51,720 --> 00:32:54,520
Speaker 2: in the history of human civilization where that has ever

581
00:32:54,840 --> 00:32:59,360
Speaker 2: been the case. That's the flaw with their idea. It's

582
00:32:59,440 --> 00:33:04,640
Speaker 2: what they want to be. They're they're like unrealistic, like

583
00:33:05,000 --> 00:33:06,280
Speaker 2: I don't know, they're like children.

584
00:33:06,560 --> 00:33:07,760
Speaker 1: That's exactly what I was gonna say.

585
00:33:07,760 --> 00:33:11,160
Speaker 2: They're naive children, naive little children. That's what they are,

586
00:33:11,560 --> 00:33:14,240
Speaker 2: you know. It's like they didn't realize like the Disney

587
00:33:14,600 --> 00:33:17,480
Speaker 2: fairy tales they grew up watching are bullshit?

588
00:33:17,800 --> 00:33:18,440
Speaker 1: Really right?

589
00:33:18,840 --> 00:33:21,760
Speaker 2: That on wins and murders everyone in the real world,

590
00:33:22,080 --> 00:33:23,000
Speaker 2: that's what happens.

591
00:33:23,520 --> 00:33:28,160
Speaker 1: My opponent in twenty twenty said, I believe in the

592
00:33:28,280 --> 00:33:32,080
Speaker 1: government's power to do great things. And I thought to myself,

593
00:33:32,120 --> 00:33:32,960
Speaker 1: and I said.

594
00:33:32,840 --> 00:33:34,000
Speaker 2: That's the most anti American.

595
00:33:34,120 --> 00:33:36,600
Speaker 1: It's it's an insane thing to say. It's clearly you

596
00:33:36,600 --> 00:33:39,920
Speaker 1: didn't study history, But I believe in the American people's

597
00:33:40,280 --> 00:33:43,480
Speaker 1: power to do great things. And right there, that's the

598
00:33:43,480 --> 00:33:46,400
Speaker 1: fundamental difference between Democrats and Republicans, is it not. It's

599
00:33:46,440 --> 00:33:47,520
Speaker 1: exactly what you were saying.

600
00:33:47,600 --> 00:33:50,480
Speaker 2: It's the fundamental and at this point. I mean, honestly,

601
00:33:51,480 --> 00:33:54,400
Speaker 2: it's it's really more than that. It's the difference between

602
00:33:55,440 --> 00:33:59,680
Speaker 2: people who are American bi national identity and those who

603
00:33:59,720 --> 00:34:03,680
Speaker 2: are and are a problem and our threat, you know,

604
00:34:03,800 --> 00:34:07,480
Speaker 2: to our way of life because this country did not

605
00:34:07,600 --> 00:34:12,120
Speaker 2: take human civilization. Like think about it. There's a and

606
00:34:12,320 --> 00:34:13,719
Speaker 2: there is a book out there. I don't mean to

607
00:34:13,760 --> 00:34:16,600
Speaker 2: pitch a book, but he is good about ultimate thesis.

608
00:34:17,040 --> 00:34:20,160
Speaker 2: It's called the five thousand year Leap, and it's like

609
00:34:20,239 --> 00:34:25,560
Speaker 2: this massive jump and is five thousand year period before

610
00:34:25,680 --> 00:34:28,400
Speaker 2: we came along were Yes, there were great things and

611
00:34:28,440 --> 00:34:32,719
Speaker 2: people did amazing feats, but when you compare it all,

612
00:34:33,480 --> 00:34:35,799
Speaker 2: you know, you go to the moon, you have all

613
00:34:35,840 --> 00:34:40,600
Speaker 2: these medical uh you know, these medical discoveries and all

614
00:34:40,600 --> 00:34:44,399
Speaker 2: these crazy inventions. Air conditioning it's ninety seven degrees today

615
00:34:44,440 --> 00:34:48,239
Speaker 2: where I am the air conditioner folks. Okay, all of

616
00:34:48,280 --> 00:34:50,680
Speaker 2: these massive things. It's like we were in the Stone

617
00:34:50,719 --> 00:34:54,120
Speaker 2: Age for so long, even the the you know, the

618
00:34:54,200 --> 00:34:56,320
Speaker 2: Dark Ages and the Renaissance, and it was a boom

619
00:34:56,360 --> 00:35:00,360
Speaker 2: of of of you know, thinking and invention and engineuity.

620
00:35:01,040 --> 00:35:03,880
Speaker 2: But the American experiment has taken that to a completely

621
00:35:03,920 --> 00:35:06,880
Speaker 2: different level. And the reason why it's just very simply

622
00:35:07,120 --> 00:35:09,560
Speaker 2: what they It was based on what you and I

623
00:35:09,600 --> 00:35:14,400
Speaker 2: are talking about. For every period before, it was always

624
00:35:14,760 --> 00:35:18,600
Speaker 2: a powerful family, the Medici's Renaissance, right, So it was

625
00:35:18,600 --> 00:35:23,080
Speaker 2: a powerful family, a church, some kind of centralized system,

626
00:35:23,160 --> 00:35:26,480
Speaker 2: some kind of centralized government that was trying to make

627
00:35:27,000 --> 00:35:29,200
Speaker 2: progress right in the sense of the word, not in

628
00:35:29,239 --> 00:35:32,799
Speaker 2: the liberal tainted use of the word for progress, and

629
00:35:33,120 --> 00:35:36,440
Speaker 2: you know, to be progressive, that's not what it was about.

630
00:35:36,520 --> 00:35:42,400
Speaker 2: It was about simply allowing the human mind to flourish

631
00:35:42,600 --> 00:35:47,680
Speaker 2: and create and develop without the oppression of that centralized

632
00:35:47,840 --> 00:35:54,680
Speaker 2: And it exploded and we literally left the Earth's atmosphere.

633
00:35:54,960 --> 00:35:58,160
Speaker 2: We planted a flag on the moon. We could go

634
00:35:58,200 --> 00:36:01,160
Speaker 2: to Mars tomorrow. If we put our minds to it,

635
00:36:01,400 --> 00:36:03,880
Speaker 2: we could try to terrorform that son of a bitch.

636
00:36:04,200 --> 00:36:07,960
Speaker 2: Nobody else is anywhere near that, you know, and I

637
00:36:08,160 --> 00:36:10,400
Speaker 2: you know, for everyone who wants to have this debate,

638
00:36:10,440 --> 00:36:13,200
Speaker 2: one day, this planet won't even be here. Elon Musk

639
00:36:13,280 --> 00:36:16,839
Speaker 2: is right, you know. And if America is gone, where

640
00:36:16,880 --> 00:36:20,200
Speaker 2: does that leave the human race? And I'm not just

641
00:36:20,239 --> 00:36:24,719
Speaker 2: talking about the country, the idea of America. When that's

642
00:36:24,760 --> 00:36:28,440
Speaker 2: gone and there's no and government comes and just crushes

643
00:36:29,280 --> 00:36:34,839
Speaker 2: American ingenuity and human creativity, because that's what it does, right,

644
00:36:35,200 --> 00:36:39,040
Speaker 2: And it just turns brother against brother and turns you know,

645
00:36:39,239 --> 00:36:42,279
Speaker 2: family member against family member, and this one gets lined

646
00:36:42,360 --> 00:36:44,359
Speaker 2: up against the wall, this one gets starved, this one

647
00:36:44,400 --> 00:36:48,520
Speaker 2: gets thrown enough in oven. You know what happens to

648
00:36:48,640 --> 00:36:55,000
Speaker 2: the human species after it's gone. But if you know

649
00:36:55,120 --> 00:36:58,040
Speaker 2: the answer to that, don't we because we already had

650
00:36:59,280 --> 00:37:02,320
Speaker 2: ten thousand years since the ice Age to see exactly

651
00:37:02,360 --> 00:37:04,000
Speaker 2: what happens. It's not pretty.

652
00:37:04,280 --> 00:37:06,839
Speaker 1: It's not pretty. All right, Stay right there. You gotta

653
00:37:06,880 --> 00:37:08,719
Speaker 1: take a quick break and we come back. I want

654
00:37:08,760 --> 00:37:10,720
Speaker 1: to I want to talk to you about that Halper

655
00:37:10,760 --> 00:37:13,960
Speaker 1: and Halper and polling stuff, talk about the state of

656
00:37:14,000 --> 00:37:17,280
Speaker 1: the race. Stay right there, Rich, I'll be right back. Okay,

657
00:37:17,560 --> 00:37:19,719
Speaker 1: got to get back to Savage Rich Barris, who's the

658
00:37:19,760 --> 00:37:22,520
Speaker 1: host of a great show called Inside the Numbers on

659
00:37:22,600 --> 00:37:26,400
Speaker 1: Rumble should go subscribe to the People's pundit on Rumble.

660
00:37:26,840 --> 00:37:28,920
Speaker 1: Also take a look at his locals. He's also the

661
00:37:28,920 --> 00:37:33,360
Speaker 1: director of Big Data poll Savage Rich, welcome back. So

662
00:37:33,440 --> 00:37:39,759
Speaker 1: these the public polling has been driving me insane. It

663
00:37:39,840 --> 00:37:43,480
Speaker 1: is it is, it is complete guardag And you know

664
00:37:43,520 --> 00:37:46,160
Speaker 1: I read the article that you sent over from Mark

665
00:37:46,239 --> 00:37:51,319
Speaker 1: Harris at Cold Spark, and he's one talked about the

666
00:37:51,360 --> 00:37:55,120
Speaker 1: problem with with public polling and how it's not just

667
00:37:55,400 --> 00:37:59,920
Speaker 1: a small problem, it's a big problem and potentially underestimate

668
00:38:00,200 --> 00:38:04,080
Speaker 1: on a big level Trump's support in these polls.

669
00:38:04,320 --> 00:38:08,680
Speaker 2: So take your away and to a lesser extent Republican support,

670
00:38:08,760 --> 00:38:12,920
Speaker 2: but still Republican support because these voters that he specifically

671
00:38:12,920 --> 00:38:16,359
Speaker 2: focused on that poles are missing, and they are missing.

672
00:38:16,560 --> 00:38:19,640
Speaker 1: Savage. Its taking pause pause right there. For Outlaw Dogs.

673
00:38:19,719 --> 00:38:23,560
Speaker 1: It's her birthday, she asked me specifically. You wish her

674
00:38:24,080 --> 00:38:25,799
Speaker 1: Outlaw Dogs her a happy.

675
00:38:25,520 --> 00:38:29,319
Speaker 2: Birth of course I will. I love the videos, keep

676
00:38:29,320 --> 00:38:31,600
Speaker 2: them comming, and I hope you will have a great

677
00:38:31,640 --> 00:38:35,920
Speaker 2: and blessed birthday today. From pun in Happy birthday, Outlaw Dogs.

678
00:38:36,400 --> 00:38:40,200
Speaker 1: See. We love the videos, we love them. See. Thank

679
00:38:40,239 --> 00:38:42,120
Speaker 1: you for reminding me. I have here in the show

680
00:38:42,160 --> 00:38:45,919
Speaker 1: notes highlighted happy birthday to Outlaw Dogs. But as most

681
00:38:45,920 --> 00:38:48,520
Speaker 1: of you and the battle crew know, once I get rolling,

682
00:38:48,719 --> 00:38:50,600
Speaker 1: I just black out and just go.

683
00:38:50,760 --> 00:38:53,680
Speaker 2: You know, check out the right folks funny.

684
00:38:54,760 --> 00:38:57,840
Speaker 1: So I'm sorry to interrupt, but go ahead, go ahead, Savage.

685
00:38:58,000 --> 00:39:00,359
Speaker 2: Yeah, And I'm just saying because those voters. That mark

686
00:39:00,520 --> 00:39:03,760
Speaker 2: is specifying. And today on inside the numbers, I opened

687
00:39:03,880 --> 00:39:07,040
Speaker 2: up the surveys that were running and I showed people

688
00:39:07,120 --> 00:39:10,440
Speaker 2: what a three thousand target tracker looks like, which you

689
00:39:10,560 --> 00:39:13,000
Speaker 2: just in our case, we just keep cloning those quotas

690
00:39:13,000 --> 00:39:15,960
Speaker 2: and going over and over the problem is it's not

691
00:39:16,680 --> 00:39:20,520
Speaker 2: it's not enough to just set those quotas for this

692
00:39:20,680 --> 00:39:25,400
Speaker 2: many white people, this many you know men, this I

693
00:39:25,440 --> 00:39:28,280
Speaker 2: need to speak to this many people between the ages

694
00:39:28,320 --> 00:39:30,880
Speaker 2: of et cetera. That's not enough when you have a

695
00:39:30,920 --> 00:39:33,480
Speaker 2: response by this environment the way, the likes of which

696
00:39:33,480 --> 00:39:36,279
Speaker 2: we're seeing. Why is that because you may say, I

697
00:39:36,360 --> 00:39:41,960
Speaker 2: need this many rural women. All right, so you go

698
00:39:42,000 --> 00:39:44,080
Speaker 2: to take survey, you pick up the phone, or you

699
00:39:44,120 --> 00:39:46,960
Speaker 2: send out an online you know, a campaign, whatever it

700
00:39:47,000 --> 00:39:49,560
Speaker 2: may be, differcause we do different modes, and it doesn't

701
00:39:49,560 --> 00:39:51,560
Speaker 2: because it doesn't really matter. Every mode is going to

702
00:39:51,560 --> 00:39:54,279
Speaker 2: be plagued with this problem and you're going to get

703
00:39:54,360 --> 00:39:57,760
Speaker 2: and I always use this example, the only liberal who's

704
00:39:57,760 --> 00:40:01,120
Speaker 2: still voting for Kamala Harris and Beaver that is a

705
00:40:01,120 --> 00:40:04,680
Speaker 2: white woman of that income bracket because she's like the

706
00:40:04,719 --> 00:40:08,759
Speaker 2: public school librarian, super liberal hates Trump's guts Orange Man bad,

707
00:40:08,920 --> 00:40:13,160
Speaker 2: Orange manbat they're dying to take surveys, whereas the Trump

708
00:40:13,440 --> 00:40:18,120
Speaker 2: white even registered Democrat is not. How does Trump carry

709
00:40:18,400 --> 00:40:21,239
Speaker 2: Hyde County, North Carolina with sixty plus percent of the

710
00:40:21,320 --> 00:40:24,319
Speaker 2: vote when there are still more registered Democrats than there

711
00:40:24,320 --> 00:40:28,120
Speaker 2: are registered Republicans. Beaver County, Pennsylvania just slipped but for

712
00:40:28,200 --> 00:40:31,000
Speaker 2: two cycles, same thing. That's why I'm using that as

713
00:40:31,000 --> 00:40:33,120
Speaker 2: an example. And also because Nate Comen at the New

714
00:40:33,200 --> 00:40:36,760
Speaker 2: York Times his shitty pole back in twenty twenty actually

715
00:40:36,840 --> 00:40:40,000
Speaker 2: had Joe Biden carrying that area. Donald Trump won it

716
00:40:40,040 --> 00:40:43,239
Speaker 2: two to one. Right, it's because of that, and there's

717
00:40:43,280 --> 00:40:44,399
Speaker 2: a way to fix There is.

718
00:40:44,360 --> 00:40:46,200
Speaker 1: No who else want it? You know who else won

719
00:40:46,239 --> 00:40:46,840
Speaker 1: Beaver County?

720
00:40:46,920 --> 00:40:50,240
Speaker 2: That's right, Brothers, right, brother there you are.

721
00:40:50,680 --> 00:40:54,160
Speaker 1: This guy guy.

722
00:40:54,280 --> 00:40:56,800
Speaker 2: But you know get But what did the public pollings

723
00:40:56,800 --> 00:40:59,160
Speaker 2: say about your ace? The generic ballad even.

724
00:40:59,040 --> 00:41:02,840
Speaker 1: Oh yeah, it was. I got a call I listened

725
00:41:02,840 --> 00:41:07,200
Speaker 1: to this man like I got a call from It

726
00:41:07,280 --> 00:41:11,120
Speaker 1: was from some polsters at the NRCC saying that there

727
00:41:11,000 --> 00:41:13,160
Speaker 1: was down ten. Mike Kelly, who was in an R

728
00:41:13,239 --> 00:41:16,160
Speaker 1: plus like sixteen at the time, was down ten. And

729
00:41:16,200 --> 00:41:18,480
Speaker 1: I remember him saying that the way we're down ten.

730
00:41:18,560 --> 00:41:21,279
Speaker 1: So it's just like, yes, the polling was terrible back

731
00:41:21,280 --> 00:41:21,719
Speaker 1: then too.

732
00:41:22,160 --> 00:41:23,880
Speaker 2: I hate to say this, and I'm not trying to

733
00:41:23,880 --> 00:41:26,160
Speaker 2: make enemies with anyone. The truth is, I don't care

734
00:41:26,160 --> 00:41:29,480
Speaker 2: if you like me or you don't. The NRCC, the NRSC,

735
00:41:30,080 --> 00:41:32,640
Speaker 2: all of their contracted posters and you guys know who

736
00:41:32,640 --> 00:41:37,279
Speaker 2: I'm talking about. They suck, all right, They're bad at

737
00:41:37,320 --> 00:41:40,000
Speaker 2: what they do. And you know what, guys, kiss my ass.

738
00:41:40,040 --> 00:41:42,120
Speaker 2: I'm right in your home, you know it. So I

739
00:41:42,160 --> 00:41:44,680
Speaker 2: don't really care, you know. I mean, it's the way

740
00:41:44,680 --> 00:41:46,880
Speaker 2: it is. You know, find you're a maniac. Do you

741
00:41:46,880 --> 00:41:49,600
Speaker 2: have friends with each other's fins? I know a guy

742
00:41:49,719 --> 00:41:51,920
Speaker 2: I know. Well, you know what, if you want to go,

743
00:41:52,160 --> 00:41:54,040
Speaker 2: if you want to go and blow fifty million dollars

744
00:41:54,040 --> 00:41:56,160
Speaker 2: in the state of Maryland, go ahead to watch Larry

745
00:41:56,160 --> 00:41:58,520
Speaker 2: Hogan lose by eight points. Knock your ass out. You know,

746
00:41:58,719 --> 00:42:01,399
Speaker 2: Dave McCormick need your money and instead Kerry Lake needs

747
00:42:01,400 --> 00:42:03,920
Speaker 2: your money instead. All right, I mean that's just the truth.

748
00:42:03,960 --> 00:42:06,040
Speaker 2: I mean, but we're gonna fall for this again because

749
00:42:06,040 --> 00:42:09,600
Speaker 2: this is what this stupid NRSC does year after year

750
00:42:09,719 --> 00:42:13,120
Speaker 2: after year. So okay, and by the way, Walker needed

751
00:42:13,680 --> 00:42:16,520
Speaker 2: he was outspent an outrageous amount of money in Georgia,

752
00:42:16,560 --> 00:42:18,760
Speaker 2: and he still almost beat Warnock in the first round.

753
00:42:19,040 --> 00:42:21,279
Speaker 2: A little bit more money, that wouldn't have been a

754
00:42:21,280 --> 00:42:25,279
Speaker 2: second round of voting because uh Walker would have won.

755
00:42:25,480 --> 00:42:27,319
Speaker 2: I mean, this is what they do. But they get

756
00:42:27,360 --> 00:42:30,480
Speaker 2: their BS polling from the NRSC, which falls victim to

757
00:42:30,560 --> 00:42:33,359
Speaker 2: what Mark Harris is talking about all the time, and

758
00:42:33,400 --> 00:42:36,400
Speaker 2: they believe it. And the truth is, there's really and

759
00:42:36,480 --> 00:42:38,239
Speaker 2: I said fix it, and I should not have said

760
00:42:38,280 --> 00:42:42,759
Speaker 2: fix it. There's a way to minimize it in the

761
00:42:42,840 --> 00:42:46,840
Speaker 2: polling because even and I'm not above showing people this,

762
00:42:47,600 --> 00:42:50,520
Speaker 2: even you know us big down a Pole has done

763
00:42:50,520 --> 00:42:53,360
Speaker 2: a better job, especially in the last two presidential cycles.

764
00:42:54,000 --> 00:42:56,879
Speaker 2: We had ways to counter it. But it's still when

765
00:42:56,880 --> 00:42:59,640
Speaker 2: you're in this kind of environment, you cannot expect to

766
00:42:59,680 --> 00:43:02,400
Speaker 2: be like spot on. You just can't. It's a horrible,

767
00:43:02,440 --> 00:43:06,280
Speaker 2: horrible polling environment. But there are and the big problem

768
00:43:06,400 --> 00:43:08,839
Speaker 2: I think is too they're twofold. I agree with them

769
00:43:08,840 --> 00:43:11,719
Speaker 2: one hundred percent. I just think he he minimizes the

770
00:43:11,760 --> 00:43:15,480
Speaker 2: impact of the other element. The first one is money.

771
00:43:15,520 --> 00:43:17,600
Speaker 2: You need more money to do it. You know, a

772
00:43:17,640 --> 00:43:20,279
Speaker 2: company like YouGov, which I use to point out how

773
00:43:20,320 --> 00:43:23,520
Speaker 2: they are actually a great example their poll today Harris

774
00:43:23,520 --> 00:43:27,000
Speaker 2: plus two, they're a great example. It's so obvious in

775
00:43:27,040 --> 00:43:29,640
Speaker 2: the poll. You know, there's like no Democratic support for

776
00:43:29,719 --> 00:43:32,880
Speaker 2: Donald Trump, there's twice as much Republican support for Harris.

777
00:43:33,160 --> 00:43:37,080
Speaker 2: Because they fell victim to this, and they can't do

778
00:43:37,120 --> 00:43:40,000
Speaker 2: anything about it because they're already YouGov has already spread

779
00:43:40,040 --> 00:43:42,400
Speaker 2: so thin. They're forced to go and contract out to

780
00:43:42,400 --> 00:43:45,600
Speaker 2: other marketplaces like hours by the way, and they can't

781
00:43:46,320 --> 00:43:49,600
Speaker 2: increase the sample size much more, and they can't set

782
00:43:50,120 --> 00:43:53,919
Speaker 2: very expensive stratified quotas to make sure that you don't

783
00:43:54,320 --> 00:43:57,520
Speaker 2: have an over or underrepresentation of these key groups. And

784
00:43:57,800 --> 00:44:00,399
Speaker 2: you're going to have an overrepresentation of Democrat. You will

785
00:44:00,480 --> 00:44:03,640
Speaker 2: never that's the problem, John. It never affects Republicans in

786
00:44:03,640 --> 00:44:04,359
Speaker 2: a positive way.

787
00:44:04,640 --> 00:44:09,520
Speaker 1: So here here is the dynamic that's happening right now. Garbage, garbage,

788
00:44:09,719 --> 00:44:13,279
Speaker 1: garbage public polling that cannot be trusted, right just for

789
00:44:13,520 --> 00:44:18,480
Speaker 1: just Soboddy, everybody who's listening and watching understand, cannot you

790
00:44:18,520 --> 00:44:23,440
Speaker 1: cannot trust the public polling. However, the internal polling for

791
00:44:23,600 --> 00:44:25,080
Speaker 1: Kamala Harris, and.

792
00:44:24,880 --> 00:44:26,960
Speaker 2: They oftentimes expensive.

793
00:44:27,160 --> 00:44:30,800
Speaker 1: Yeah, now listen, it's very expensive David axelrod Is alluded

794
00:44:30,840 --> 00:44:34,240
Speaker 1: to this as well. It's not good for Kamala Harris.

795
00:44:34,520 --> 00:44:37,120
Speaker 1: So listen to listen to Mark Halper and talking about this,

796
00:44:37,239 --> 00:44:40,560
Speaker 1: and then you obviously saw he obviously saw, yeah, yeah,

797
00:44:40,920 --> 00:44:41,480
Speaker 1: check this out.

798
00:44:41,640 --> 00:44:44,399
Speaker 5: There's some public polling already, there's more coming, and there's

799
00:44:44,440 --> 00:44:49,920
Speaker 5: some private polling that suggests that nationally in the battleground states,

800
00:44:50,440 --> 00:44:54,000
Speaker 5: she's not ahead. She might be ahead on paper, but

801
00:44:54,160 --> 00:44:57,120
Speaker 5: well within the margin of error. And there's some battleground

802
00:44:57,120 --> 00:44:59,880
Speaker 5: states now where I think Donald Trump's on this trajectory

803
00:45:00,160 --> 00:45:04,000
Speaker 5: going to be ahead. And it may be regardless of

804
00:45:04,040 --> 00:45:06,000
Speaker 5: what happens in the interview and regardless of what happens

805
00:45:06,000 --> 00:45:09,160
Speaker 5: in the debate, it may be that by the middle

806
00:45:09,200 --> 00:45:12,440
Speaker 5: of September, when things have calmed down, when the Trump

807
00:45:12,440 --> 00:45:15,319
Speaker 5: campaign have had time to prey on some of the

808
00:45:15,320 --> 00:45:18,239
Speaker 5: weaknesses that I suggested, that he's ahead and all the

809
00:45:18,239 --> 00:45:23,440
Speaker 5: sun veiled states, and a head in Pennsylvania and competitive

810
00:45:23,440 --> 00:45:26,879
Speaker 5: in Michigan and Wisconsin, which would be roughly where Joe

811
00:45:26,920 --> 00:45:32,080
Speaker 5: Biden was before the debate, with a single path to

812
00:45:32,080 --> 00:45:34,319
Speaker 5: two hundred and seventy electro votes, the three Great Lake

813
00:45:34,400 --> 00:45:38,720
Speaker 5: states in Nebraska, two and that'd be a scary position

814
00:45:38,719 --> 00:45:40,920
Speaker 5: for the Democratic Party to be in from mid September

815
00:45:40,960 --> 00:45:42,200
Speaker 5: through election day.

816
00:45:43,560 --> 00:45:47,239
Speaker 1: First of all, to Mark Calpern, very nicely staged room.

817
00:45:47,520 --> 00:45:50,800
Speaker 1: You know, I got to say, for a man, a

818
00:45:50,960 --> 00:45:54,879
Speaker 1: very nicely staged Trump dude, he is well. I mean, look,

819
00:45:54,880 --> 00:46:00,400
Speaker 1: he reported on Biden being shanked by Como before anybody

820
00:46:00,440 --> 00:46:04,239
Speaker 1: else did, and Democrats and the Biden campaign attacked him

821
00:46:04,280 --> 00:46:04,840
Speaker 1: like crazy.

822
00:46:04,840 --> 00:46:07,759
Speaker 2: He said, he's not click anymore. That's why he's not

823
00:46:07,880 --> 00:46:10,960
Speaker 2: on Showtime with the cool kids anymore. He's too honest.

824
00:46:11,320 --> 00:46:12,120
Speaker 2: He's too honest.

825
00:46:12,560 --> 00:46:15,400
Speaker 1: Well, I mean, there you have it, rich the internal

826
00:46:15,440 --> 00:46:17,520
Speaker 1: pulling for Common And again I'm not saying that we're

827
00:46:17,520 --> 00:46:19,200
Speaker 1: going to run away with this thing. It's going to

828
00:46:19,280 --> 00:46:23,360
Speaker 1: be close. But Kamala. The important thing is is that Kamala.

829
00:46:23,480 --> 00:46:26,239
Speaker 1: As I mentioned before, the main question was is she

830
00:46:26,320 --> 00:46:28,160
Speaker 1: going to be able to reshape the electorate or be

831
00:46:28,160 --> 00:46:31,200
Speaker 1: a blip on the radar. It's trending in the direction of,

832
00:46:32,000 --> 00:46:35,920
Speaker 1: you know, blip on the radar, and it seems like

833
00:46:36,160 --> 00:46:39,520
Speaker 1: her honeymoon is over. What do you think she got?

834
00:46:39,719 --> 00:46:42,200
Speaker 2: And I'm telling you you're going to see it soon.

835
00:46:42,480 --> 00:46:46,400
Speaker 2: She got no bounce and I spent extra time. We

836
00:46:46,600 --> 00:46:50,319
Speaker 2: are spending extra time in the field because, as I

837
00:46:50,360 --> 00:46:53,239
Speaker 2: showed people on the show in twenty sixteen, it took

838
00:46:53,320 --> 00:46:57,400
Speaker 2: Hillary Clinton four days to begin to increase after the convention.

839
00:46:57,760 --> 00:47:00,120
Speaker 2: This idea that you would get a morning con so

840
00:47:00,280 --> 00:47:03,319
Speaker 2: pull the next day and it's all baked into the

841
00:47:03,360 --> 00:47:06,520
Speaker 2: cake is just not how this works. Okay, Rich, it's

842
00:47:06,520 --> 00:47:08,839
Speaker 2: twenty sixteen, We're in the age of information. Maybe things

843
00:47:08,840 --> 00:47:12,960
Speaker 2: are different. Nope, looked at twenty twenty, same thing. Biden

844
00:47:13,040 --> 00:47:15,120
Speaker 2: did get a bump. Hillary got a five point bump.

845
00:47:15,960 --> 00:47:19,840
Speaker 2: Biden did get one, and it did recede. But you know,

846
00:47:19,920 --> 00:47:22,960
Speaker 2: the whole process took almost two weeks, you know, so

847
00:47:23,239 --> 00:47:25,160
Speaker 2: we wanted to stay in the field to make sure

848
00:47:25,640 --> 00:47:28,000
Speaker 2: and then wait for the distortion, you know, the distortion

849
00:47:28,120 --> 00:47:31,799
Speaker 2: and data and the noise to calm down. She had

850
00:47:31,880 --> 00:47:35,279
Speaker 2: no bump, there is I mean, she two points. At

851
00:47:35,320 --> 00:47:37,200
Speaker 2: one point she pulled out. I'm just gonna give people

852
00:47:37,239 --> 00:47:40,960
Speaker 2: the goose. At one point she pulled to a two

853
00:47:41,080 --> 00:47:45,839
Speaker 2: point lead. It evaporated its noise. It wasn't like two.

854
00:47:46,000 --> 00:47:49,040
Speaker 2: This is the thing we're doing this year again, Harris,

855
00:47:49,239 --> 00:47:53,240
Speaker 2: slight lead plus one, that's not a lead. Your sampling

856
00:47:53,280 --> 00:47:55,880
Speaker 2: eraror is three and a half points, like, don't you

857
00:47:55,960 --> 00:47:59,200
Speaker 2: know how base and they do know how basic statistics works.

858
00:47:59,360 --> 00:48:03,239
Speaker 2: You know, you got uh Fairleigh Dickinson over there doing

859
00:48:03,280 --> 00:48:05,360
Speaker 2: the most unethical thing I've ever seen a polster do

860
00:48:05,440 --> 00:48:08,200
Speaker 2: in my life. And by the way, people did take notice,

861
00:48:08,239 --> 00:48:10,560
Speaker 2: the right people, which is good. I couldn't. I was

862
00:48:10,560 --> 00:48:12,200
Speaker 2: getting very pissed off that I was the only one

863
00:48:12,200 --> 00:48:15,640
Speaker 2: who said anything but to pull the race correctly and

864
00:48:15,640 --> 00:48:18,759
Speaker 2: find a Trump plus one and then inject race and

865
00:48:18,920 --> 00:48:22,440
Speaker 2: age and all engender and all of these questions. That

866
00:48:22,560 --> 00:48:27,279
Speaker 2: is just a complete unethical move and then report the

867
00:48:27,360 --> 00:48:31,960
Speaker 2: push as the actual result of the poll was the congratulations,

868
00:48:32,000 --> 00:48:35,160
Speaker 2: fairly Dickinson, you win the award for the People's Pundit's

869
00:48:35,560 --> 00:48:39,680
Speaker 2: biggest scumbag polster. And the cycle that I'm gonna make

870
00:48:39,760 --> 00:48:41,840
Speaker 2: up a graphic and everything. I may actually go to

871
00:48:41,880 --> 00:48:44,920
Speaker 2: a trophy store and build you a trophy store and

872
00:48:44,920 --> 00:48:48,440
Speaker 2: put it on the show that I'm not kidding and

873
00:48:48,480 --> 00:48:50,760
Speaker 2: put it like on a shelf behind me for the show.

874
00:48:51,040 --> 00:48:53,440
Speaker 2: And I'm I mean this, this stuff has got to

875
00:48:53,480 --> 00:48:55,560
Speaker 2: be done because if you're not, if they're not shamed,

876
00:48:56,120 --> 00:48:59,200
Speaker 2: then they all continue to do it again and again

877
00:48:59,280 --> 00:49:02,040
Speaker 2: and again. Any Yeah, the truth is I'm waiting to

878
00:49:02,080 --> 00:49:04,600
Speaker 2: go on Steve Gruber. I get leaked a bunch of

879
00:49:04,600 --> 00:49:08,360
Speaker 2: battleground state polls two days before the rest of most

880
00:49:08,360 --> 00:49:10,680
Speaker 2: of the people I know see who did see them,

881
00:49:11,320 --> 00:49:14,760
Speaker 2: and it's their ball. And Trump is ahead in Michigan

882
00:49:14,800 --> 00:49:18,040
Speaker 2: by one point, and Trump is ahead in Pennsylvania by

883
00:49:18,120 --> 00:49:21,440
Speaker 2: like four points. And Trump is like, he's down, but

884
00:49:21,480 --> 00:49:24,040
Speaker 2: he's down a little bit in Minnesota. She's up three

885
00:49:24,239 --> 00:49:27,239
Speaker 2: in Virginia. I asked for Nevada in Georgia because he's

886
00:49:27,280 --> 00:49:30,520
Speaker 2: ahead in Arizona, and they wouldn't give it to me.

887
00:49:31,000 --> 00:49:34,040
Speaker 2: So what does that tell you? It's ironic that not ironic.

888
00:49:34,120 --> 00:49:35,880
Speaker 2: I find it funny. My ears perk up when I

889
00:49:35,880 --> 00:49:38,279
Speaker 2: hear Halpern say that about the sun Belt states, because

890
00:49:38,320 --> 00:49:40,880
Speaker 2: of course Georgia and Nevada ball somen Belt states. They

891
00:49:41,040 --> 00:49:43,840
Speaker 2: obviously it was bad in Georgia and Nevada, and they

892
00:49:43,880 --> 00:49:45,520
Speaker 2: didn't want to give it to me, But they were

893
00:49:45,920 --> 00:49:49,200
Speaker 2: kind of like trying to tamp down the excitement that

894
00:49:49,360 --> 00:49:53,000
Speaker 2: is being thrown around by Democrats about how much how

895
00:49:53,040 --> 00:49:54,520
Speaker 2: far ahead she is. There are a lot of people

896
00:49:54,560 --> 00:49:57,360
Speaker 2: out there who are worried about what Mark called the

897
00:49:57,400 --> 00:50:00,200
Speaker 2: Blue mirage, a lot of Democrats, and they were these

898
00:50:00,200 --> 00:50:03,080
Speaker 2: are older school people who remember what happened to Hillary Clinton,

899
00:50:03,360 --> 00:50:05,600
Speaker 2: that that was not a real lead, that was not

900
00:50:05,719 --> 00:50:08,760
Speaker 2: a real polling lead. The truth is in our panel,

901
00:50:09,080 --> 00:50:13,680
Speaker 2: which was designed to mitigate response bias, Trump led more

902
00:50:13,680 --> 00:50:18,200
Speaker 2: than Hillary Clinton did, so that suggests that that was

903
00:50:18,360 --> 00:50:20,279
Speaker 2: really kind of always the case throughout it. And we

904
00:50:20,360 --> 00:50:22,840
Speaker 2: started polling before the fourth of July, went all the

905
00:50:22,840 --> 00:50:26,000
Speaker 2: way to the election. This is what they're worried about

906
00:50:26,040 --> 00:50:28,680
Speaker 2: getting scooped again, like this, Sean. So they're trying to

907
00:50:28,719 --> 00:50:31,719
Speaker 2: have people see the polling, the tamp down expectations. What

908
00:50:31,840 --> 00:50:34,680
Speaker 2: happens twenty four hours Jake Tapper gets it, you know,

909
00:50:34,800 --> 00:50:37,600
Speaker 2: like twenty four hours later. So people are getting passed

910
00:50:37,640 --> 00:50:41,239
Speaker 2: around these polls to show them that this is not

911
00:50:41,400 --> 00:50:45,760
Speaker 2: the way the media is suggested, because there's there is propaganda,

912
00:50:46,160 --> 00:50:49,080
Speaker 2: you know with polling, and you know it helps fundraising,

913
00:50:49,400 --> 00:50:51,799
Speaker 2: but there is a risk to it. And a lot

914
00:50:51,840 --> 00:50:54,960
Speaker 2: of these older school Democrats think that Hillary Clinton was

915
00:50:55,000 --> 00:50:58,600
Speaker 2: a victim of this where oh, don't worry, she's gonna win.

916
00:50:58,960 --> 00:51:02,239
Speaker 2: Don't worry, she's gonna win and it actually can decrease

917
00:51:02,600 --> 00:51:06,520
Speaker 2: turnout among the side that is ahead because some of

918
00:51:06,520 --> 00:51:09,120
Speaker 2: their voters that are lower propensity voters think I just

919
00:51:09,120 --> 00:51:11,680
Speaker 2: got it in the back. I'll stay home. The truth

920
00:51:11,760 --> 00:51:13,680
Speaker 2: is that was never real and she never had it

921
00:51:13,680 --> 00:51:16,439
Speaker 2: in the back, you know. But they seem to think

922
00:51:16,480 --> 00:51:19,040
Speaker 2: that maybe Harris does have a chance's time and they

923
00:51:19,040 --> 00:51:21,759
Speaker 2: don't want her to fall victim to what Hillary Clinton did.

924
00:51:21,760 --> 00:51:24,160
Speaker 2: So that is why the polls are being leaked. And hilariously,

925
00:51:24,440 --> 00:51:27,280
Speaker 2: some schmuck on Twitter was like, you don't have access

926
00:51:27,320 --> 00:51:29,919
Speaker 2: to their polling and then it was like came out

927
00:51:29,920 --> 00:51:34,359
Speaker 2: and exactly, you know, and never get apologies. Nobody ever

928
00:51:34,400 --> 00:51:37,720
Speaker 2: has is big enough to apody. They're just small people

929
00:51:37,760 --> 00:51:41,279
Speaker 2: on Twitter, you know, like just small people. But you know,

930
00:51:41,360 --> 00:51:44,640
Speaker 2: but but that is that is the case. And Marcus

931
00:51:44,760 --> 00:51:49,319
Speaker 2: right that, like at the presidential campaign level, there are

932
00:51:49,400 --> 00:51:52,239
Speaker 2: posters who are yes men, who just give people good news.

933
00:51:52,280 --> 00:51:54,719
Speaker 2: They don't want to piss their client off. But that's

934
00:51:54,719 --> 00:51:56,680
Speaker 2: not what you want at the presidential level. And at

935
00:51:56,719 --> 00:51:59,560
Speaker 2: the presidential level it's more expensive because they are going

936
00:51:59,640 --> 00:52:02,880
Speaker 2: to set those stratification quotas. They're going to make sure

937
00:52:02,680 --> 00:52:06,359
Speaker 2: that everybody's well represented. And they're going to pay a

938
00:52:06,400 --> 00:52:10,279
Speaker 2: fortune for it, you know. So you know that's this

939
00:52:10,320 --> 00:52:12,399
Speaker 2: is something we've talked about for a long time. There's

940
00:52:12,440 --> 00:52:14,080
Speaker 2: only a few things you can do to mitigate it.

941
00:52:14,280 --> 00:52:17,760
Speaker 2: Public polls aren't doing any of that, and they're creating

942
00:52:17,800 --> 00:52:20,080
Speaker 2: a blue mirage because I'm telling you, I'm looking at

943
00:52:20,120 --> 00:52:23,840
Speaker 2: it and looking at there's not two percent support for

944
00:52:23,920 --> 00:52:28,520
Speaker 2: Donald Trump among Democrats. That is insane. And again, the

945
00:52:28,640 --> 00:52:31,120
Speaker 2: votes tell a different story, Sean, The votes sell a

946
00:52:31,120 --> 00:52:34,520
Speaker 2: different story. And we saw this and this last thing

947
00:52:34,600 --> 00:52:38,360
Speaker 2: up just to wrap up this thought, this is exactly

948
00:52:38,640 --> 00:52:41,240
Speaker 2: what we saw in sixteen and twenty. The same things

949
00:52:41,239 --> 00:52:45,400
Speaker 2: are there. And Mark brought up the northern Midwest. You know,

950
00:52:45,440 --> 00:52:49,680
Speaker 2: we're talking about Wisconsin, Pennsylvania, and Michigan. The polls are

951
00:52:49,719 --> 00:52:53,239
Speaker 2: starting to look he even laid out, She's down in Pennsylvania.

952
00:52:53,520 --> 00:52:57,320
Speaker 2: Trump is competitive in Michigan. He's competitive in Wisconsin. Folks,

953
00:52:57,840 --> 00:53:02,280
Speaker 2: Wisconsin polls more Democrats then it votes, and it tends

954
00:53:02,280 --> 00:53:05,000
Speaker 2: to actually end up being the easier of the three

955
00:53:05,120 --> 00:53:08,680
Speaker 2: as a lift, right, as they're all tall orders for Republicans,

956
00:53:08,680 --> 00:53:11,800
Speaker 2: but it ends up being closer. Pennsylvania's in the middle,

957
00:53:12,040 --> 00:53:16,319
Speaker 2: you know, usually and Michigan is the hardest of those two.

958
00:53:16,840 --> 00:53:19,400
Speaker 2: When the polling falls in line the way it is

959
00:53:19,520 --> 00:53:22,440
Speaker 2: right now, it is a telltale sign that there's a

960
00:53:22,480 --> 00:53:26,440
Speaker 2: major that it's a response biason, and that Trump is

961
00:53:26,480 --> 00:53:30,080
Speaker 2: going to overperform. It happened twice before, and I'm not

962
00:53:30,120 --> 00:53:33,480
Speaker 2: saying that's as shoring that it will happen again, But

963
00:53:33,600 --> 00:53:38,920
Speaker 2: the same pattern is presenting itself, the same issues in

964
00:53:39,000 --> 00:53:42,400
Speaker 2: the data we're seeing. And actually, if this doesn't calm

965
00:53:42,440 --> 00:53:45,040
Speaker 2: down soon, this environment could be worse than the twenty

966
00:53:45,080 --> 00:53:50,400
Speaker 2: twenty environment to Poland, which is my god. You know,

967
00:53:50,480 --> 00:53:53,880
Speaker 2: it just sucks because we were in a fairly decent environment.

968
00:53:54,160 --> 00:53:56,799
Speaker 2: I thought Trump was being overstated, but we were in

969
00:53:56,840 --> 00:53:59,680
Speaker 2: like a like a decent where I actually don't mind

970
00:53:59,680 --> 00:54:02,680
Speaker 2: doing my job, you know. But when it gets this bad,

971
00:54:02,760 --> 00:54:07,280
Speaker 2: it's it's kind of sad, actually, it's it's it's less fun.

972
00:54:07,120 --> 00:54:10,960
Speaker 1: To do well. Savage Rich tell us where we can

973
00:54:11,000 --> 00:54:12,960
Speaker 1: find you, how we can support you.

974
00:54:13,480 --> 00:54:15,800
Speaker 2: Yeah, the best way is always Sean is on locals

975
00:54:15,920 --> 00:54:19,840
Speaker 2: People's pundit locals dot com. Check out the Public Polling Project,

976
00:54:19,960 --> 00:54:22,120
Speaker 2: share it with your friends, you know, pass it around.

977
00:54:22,400 --> 00:54:25,120
Speaker 2: Wi's doing well. You'll see little hands that wave in

978
00:54:25,120 --> 00:54:28,439
Speaker 2: the air, support our poles, you know, because uh yeah,

979
00:54:28,480 --> 00:54:30,960
Speaker 2: this is the this is this is the model, man,

980
00:54:31,000 --> 00:54:32,520
Speaker 2: I mean, this is the way we force them to

981
00:54:32,560 --> 00:54:35,319
Speaker 2: be more transparent. This is why nobody does what we do,

982
00:54:35,400 --> 00:54:38,400
Speaker 2: Sean plotting out the geographic areas.

983
00:54:38,680 --> 00:54:40,440
Speaker 1: This is why I do the show. I mean, I

984
00:54:41,480 --> 00:54:44,040
Speaker 1: started this show to give people a way to take action,

985
00:54:44,160 --> 00:54:46,920
Speaker 1: whether it's you know, organizing on a show, fighting in

986
00:54:46,960 --> 00:54:49,800
Speaker 1: the trenches, you know, engaging the radical left, or supporting

987
00:54:49,840 --> 00:54:53,759
Speaker 1: great people like you who force all these garbage polsters

988
00:54:53,760 --> 00:54:56,239
Speaker 1: to tow the line and be better. And so that's

989
00:54:56,320 --> 00:54:59,239
Speaker 1: why that's the call to action, folks. That's why you

990
00:54:59,280 --> 00:55:02,719
Speaker 1: should support rich and big data pool. It's all publicly

991
00:55:02,800 --> 00:55:06,600
Speaker 1: sourced stuff, so he has an incentive to be as

992
00:55:06,640 --> 00:55:09,960
Speaker 1: accurate as possible to because he's not, and he sucks

993
00:55:10,040 --> 00:55:13,719
Speaker 1: the publics the public support drives on. That's why I

994
00:55:13,920 --> 00:55:16,720
Speaker 1: like cabin rich On. It matters a lot. And being

995
00:55:17,160 --> 00:55:20,200
Speaker 1: you know, being right is not you know, not being right,

996
00:55:20,320 --> 00:55:25,640
Speaker 1: but my god, like, working hard to be accurate.

997
00:55:25,320 --> 00:55:28,880
Speaker 2: Is accuracy matters. That's actually this that's our that's the saying.

998
00:55:28,920 --> 00:55:30,520
Speaker 2: I mean, it's I'm literally on the back of the

999
00:55:30,600 --> 00:55:35,120
Speaker 2: T shirt. Accuracy matters, and by the way, so does transparency.

1000
00:55:35,280 --> 00:55:37,319
Speaker 2: And that's why we do what we do, you know,

1001
00:55:37,440 --> 00:55:40,880
Speaker 2: to to to to force them to be more transparent,

1002
00:55:40,960 --> 00:55:43,759
Speaker 2: to right to toe the line, to be ethical. And

1003
00:55:44,120 --> 00:55:46,160
Speaker 2: you know, I mean you're not seeing any of them,

1004
00:55:46,360 --> 00:55:49,880
Speaker 2: you know, putting out maps of where they conducted the interviews,

1005
00:55:49,880 --> 00:55:52,400
Speaker 2: because I'll tell you, if they did, and it was Pennsylvania,

1006
00:55:52,440 --> 00:55:56,080
Speaker 2: for instance, you would see a ridiculous share of the

1007
00:55:56,080 --> 00:55:59,719
Speaker 2: so called statewide suburban vote in and around the Philly suburbs.

1008
00:56:00,680 --> 00:56:03,799
Speaker 2: A woman who's a white woman thirty to forty five

1009
00:56:03,880 --> 00:56:06,280
Speaker 2: years old. But it's a lot differently in a suburb

1010
00:56:06,320 --> 00:56:10,080
Speaker 2: outside of Philadelphia than a suburb outside of Pittsburgh. Not

1011
00:56:10,200 --> 00:56:12,600
Speaker 2: all suburbs are created equal. And they think that they

1012
00:56:12,640 --> 00:56:15,200
Speaker 2: got enough of these responses because they have these very

1013
00:56:15,200 --> 00:56:17,920
Speaker 2: top line quota sets. It's not enough. Mark did a

1014
00:56:18,000 --> 00:56:19,719
Speaker 2: great job, by the way, just as a shout out

1015
00:56:19,719 --> 00:56:23,760
Speaker 2: to him that article. Great job Mark explaining that to everyone,

1016
00:56:23,880 --> 00:56:27,399
Speaker 2: you know, not people who don't understand polling. Fantastic job.

1017
00:56:27,400 --> 00:56:28,680
Speaker 2: You're one hundred percent correct.

1018
00:56:28,880 --> 00:56:31,680
Speaker 1: So back to school week, You got your little one kindergartener,

1019
00:56:31,760 --> 00:56:34,440
Speaker 1: go back to school. Bittersweet is it did he do

1020
00:56:34,560 --> 00:56:38,120
Speaker 1: preschool thing or is this his first foray into schooling.

1021
00:56:38,280 --> 00:56:41,719
Speaker 2: It's his first foray, and it was like he's exhausted,

1022
00:56:41,880 --> 00:56:45,080
Speaker 2: and you know it's proving over the week, but uh.

1023
00:56:46,600 --> 00:56:50,200
Speaker 1: Ark senior. We have a senior this year. That won't change.

1024
00:56:50,400 --> 00:56:54,000
Speaker 1: It was the first day of school in her last

1025
00:56:54,160 --> 00:56:57,239
Speaker 1: year of school, if that makes sense. Yeah, And she

1026
00:56:57,440 --> 00:57:00,239
Speaker 1: came home and she was like, I'm so tired and

1027
00:57:00,280 --> 00:57:02,920
Speaker 1: collapsed on our hallway floor, was laying and looking up.

1028
00:57:03,080 --> 00:57:05,359
Speaker 1: And I bet you that your kindergartener kind of did

1029
00:57:05,400 --> 00:57:05,919
Speaker 1: the same thing.

1030
00:57:06,360 --> 00:57:10,360
Speaker 2: And now today he was like, I want duncan I'm.

1031
00:57:10,160 --> 00:57:15,000
Speaker 1: Like, Katie, she says the same thing.

1032
00:57:15,520 --> 00:57:18,720
Speaker 2: Okay, you got it. Some uh you know. The other

1033
00:57:18,760 --> 00:57:20,720
Speaker 2: two were off to the races there, you you know,

1034
00:57:20,960 --> 00:57:24,320
Speaker 2: but he they they went to preschool and they went

1035
00:57:24,360 --> 00:57:26,439
Speaker 2: to for people in Florida, you know what I'm talking about.

1036
00:57:26,640 --> 00:57:30,840
Speaker 2: Two b great program, fantastic. Unfortunately they didn't have anything

1037
00:57:30,880 --> 00:57:32,920
Speaker 2: like this here. And he is very young. He's the

1038
00:57:32,960 --> 00:57:35,720
Speaker 2: youngest kid in his class. So you know, you know,

1039
00:57:35,960 --> 00:57:37,960
Speaker 2: it's it's hard man as a parent to watch the

1040
00:57:38,040 --> 00:57:40,960
Speaker 2: last one go, you know, to uh kindergarten like that.

1041
00:57:41,000 --> 00:57:44,040
Speaker 2: But he just turned five today in the class and

1042
00:57:44,040 --> 00:57:46,919
Speaker 2: if this was the third day of school, the wanted

1043
00:57:46,960 --> 00:57:48,720
Speaker 2: to five. He just turned five?

1044
00:57:49,000 --> 00:57:51,440
Speaker 1: The is he at least a savage five?

1045
00:57:51,880 --> 00:57:56,640
Speaker 2: He is ridiculously a savage one. The tea just told us,

1046
00:57:56,920 --> 00:57:59,040
Speaker 2: she was like, you know, they're all learning the routine,

1047
00:57:59,480 --> 00:58:02,840
Speaker 2: and she's like, you know, you know, Roman, you got

1048
00:58:02,840 --> 00:58:05,400
Speaker 2: to get up and and and count. Now count to

1049
00:58:05,600 --> 00:58:08,040
Speaker 2: whatever they count to. They can, you know, for me,

1050
00:58:08,200 --> 00:58:10,680
Speaker 2: because they're all learning what they can and can't do.

1051
00:58:11,080 --> 00:58:14,120
Speaker 2: And he just kept going and she's like, yo, what

1052
00:58:14,160 --> 00:58:17,040
Speaker 2: could this kid count to? You know, because he's so young, right,

1053
00:58:17,080 --> 00:58:18,800
Speaker 2: So we counted to one hundred and he turned to

1054
00:58:18,840 --> 00:58:22,080
Speaker 2: her and was like is that enough? And she was like,

1055
00:58:22,120 --> 00:58:25,680
Speaker 2: this kid's got it. But he is like young. You know,

1056
00:58:26,160 --> 00:58:28,880
Speaker 2: the kid today they celebrated in class just turned six.

1057
00:58:28,960 --> 00:58:31,280
Speaker 2: So he's like a full year younger than most of

1058
00:58:31,320 --> 00:58:33,640
Speaker 2: these kids. So I am you know, I'm in as

1059
00:58:33,680 --> 00:58:36,400
Speaker 2: a parent. You know you're watching it like all you

1060
00:58:36,400 --> 00:58:39,520
Speaker 2: know what I mean. I'm missing too.

1061
00:58:39,960 --> 00:58:43,600
Speaker 1: Give my best from everyone here at Fort Parnell to

1062
00:58:43,640 --> 00:58:48,080
Speaker 1: the Savage Bearest family. You know, obviously we love you guys.

1063
00:58:48,120 --> 00:58:52,480
Speaker 1: Thank you for giving us so much. I see you

1064
00:58:52,560 --> 00:58:57,760
Speaker 1: next week. I was always broke, all right, everybody that

1065
00:58:57,920 --> 00:59:00,720
Speaker 1: is Savage Rich bears the best poster in the business.

1066
00:59:00,800 --> 00:59:03,320
Speaker 1: You should definitely subscribe to his Rumble page. You should

1067
00:59:03,320 --> 00:59:07,880
Speaker 1: definitely support Big Data pull and subscribe to Inside the

1068
00:59:07,960 --> 00:59:12,040
Speaker 1: Numbers right here on Rumble. Okay, folks, I am working

1069
00:59:12,160 --> 00:59:16,200
Speaker 1: very hard on lining up a guy named doctor Zama

1070
00:59:16,360 --> 00:59:20,920
Speaker 1: on the show for this week. He's traveling. We're working hard,

1071
00:59:21,320 --> 00:59:24,680
Speaker 1: but this guy's like a world renowned heart surgeon, has

1072
00:59:24,720 --> 00:59:27,480
Speaker 1: an incredible story about coming here to America and living

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00:59:27,520 --> 00:59:31,400
Speaker 1: the American dream. He also dated Kamala Harris and has

1074
00:59:31,440 --> 00:59:36,040
Speaker 1: some of the craziest stories that you will ever hear,

1075
00:59:36,520 --> 00:59:38,600
Speaker 1: and so working very hard to line him up for

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00:59:38,640 --> 00:59:40,440
Speaker 1: this week. But if we don't get it done this week,

1077
00:59:40,680 --> 00:59:43,200
Speaker 1: promise you will get it done next week. I will

1078
00:59:43,200 --> 00:59:46,000
Speaker 1: be at the Trump rally speaking at the Trump rally

1079
00:59:46,000 --> 00:59:49,360
Speaker 1: and I think with the President on Friday in Johnstown.

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00:59:49,440 --> 00:59:51,200
Speaker 1: So if you're there and you see me, come up

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00:59:52,000 --> 00:59:53,920
Speaker 1: outlaw Dogs and know you're there. If you see me,

1082
00:59:54,000 --> 00:59:55,880
Speaker 1: I'll definitely do what we got to do to sign

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00:59:55,960 --> 01:00:01,400
Speaker 1: your stuff. Myron, thank you for the Rumble rant uh tip,

1084
01:00:01,920 --> 01:00:04,240
Speaker 1: and yes, you're right, we need to pay attention attention

1085
01:00:04,320 --> 01:00:08,960
Speaker 1: to the Deep States machinations. You're absolutely right. Roy Savage

1086
01:00:08,960 --> 01:00:11,560
Speaker 1: Wednesday says, thank you, thank you so much, Roy, God

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01:00:11,600 --> 01:00:14,080
Speaker 1: bless you. We're so lucky to have you. Outlaw Dogs.

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01:00:14,520 --> 01:00:19,040
Speaker 1: As always, it's a pleasure, Hammerhead, you are awesome. Thank you, cheers,

1089
01:00:19,080 --> 01:00:24,040
Speaker 1: my friend. We appreciate you being here. Ge Fontes, as always,

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01:00:24,440 --> 01:00:27,000
Speaker 1: you've said something terrifying in the live chat that when

1091
01:00:27,000 --> 01:00:31,000
Speaker 1: bitten brown recluse spiders release pheromones into your body permanently

1092
01:00:31,400 --> 01:00:34,560
Speaker 1: attracting them to you for life. Well that's just great.

1093
01:00:34,680 --> 01:00:37,400
Speaker 1: That is the stuff that nightmares are made of. So

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01:00:37,440 --> 01:00:41,920
Speaker 1: thank you Gfontes for that. But listen, folks, I really

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01:00:42,000 --> 01:00:45,320
Speaker 1: mean it when I say that this show is for you.

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01:00:45,400 --> 01:00:48,600
Speaker 1: It always will be. You know I you all mean

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01:00:48,640 --> 01:00:50,920
Speaker 1: a lot to me. I know I say that a

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01:00:50,960 --> 01:00:56,320
Speaker 1: lot and it you know I you all matter to me.

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01:00:56,400 --> 01:00:59,200
Speaker 1: So thank you. I mean, we're This show is growing

1100
01:00:59,280 --> 01:01:01,960
Speaker 1: so much every single day and we're so lucky to

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01:01:02,000 --> 01:01:05,240
Speaker 1: have you. Tomorrow, got a great show on deck. I'm

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01:01:05,240 --> 01:01:07,320
Speaker 1: trying to line up Brian Dean Wright. Maybe I'll be

1103
01:01:07,360 --> 01:01:10,800
Speaker 1: able to get him for tomorrow. Make sure you smash

1104
01:01:10,880 --> 01:01:13,360
Speaker 1: that like button, that little green thumb beneath the video

1105
01:01:13,440 --> 01:01:16,920
Speaker 1: on your way out, and as always, folks, God bless

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01:01:16,920 --> 01:01:19,600
Speaker 1: you seriously. God bless you all, and God bless this

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01:01:19,800 --> 01:01:23,320
Speaker 1: amazing country that we call home. I'll see you tomorrow.

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01:01:23,440 --> 01:01:26,320
Speaker 1: Take care, God bless and good night,