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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 Save.

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Speaker 2: America with your host Sean Parnell.

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Speaker 3: Good evening, America, Welcome to Battleground Live. This is the

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Speaker 3: show where we kick ass and take names in lockhorns

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Speaker 3: with the radical left. We never quit, we never surrender.

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Speaker 3: From sea to Shining Sea and everybody in between. Welcome

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Speaker 3: Patriots on this glorious Savage Wednesday. Now, this is going

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Speaker 3: to be a little bit of a wow. It's not

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Speaker 3: going to be a late backshow, but it's a pre

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Speaker 3: Thanksgiving celebration and we have reason to celebrate because Savage

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Speaker 3: Rich Barris was the number one most accurate polster of

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Speaker 3: the cycle. And think back to the very first time

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Speaker 3: that I had him on, and what did I tell you?

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Speaker 3: I told you that he was the best in the

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Speaker 3: business for a lot of different reasons, but the fact

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Speaker 3: that he understands the culture but also understands the data

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Speaker 3: and the analytics. I'm telling you, someone who's run twice

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Speaker 3: for office, you got to know how to ask the

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Speaker 3: right questions because if you ask the right questions, you

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Speaker 3: get a more accurate result. So psyched to have him,

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Speaker 3: I see he's in the waiting room here, I'll get

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Speaker 3: to him, and it's just I'm gonna get right to him.

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Speaker 3: A couple of admin notes. Smash that like button, that

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Speaker 3: little green thumb beneath the video, go ahead and smash it.

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Speaker 3: No show tomorrow on Thanksgiving, but I've got Brian Dean

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Speaker 3: Wright on Black Friday for right night, so he'll be

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Speaker 3: with us. I mean, there's a lot to talk about,

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Speaker 3: so you don't want to miss that episode. Although I

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Speaker 3: know many of you all are probably going to be

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Speaker 3: at least filled stuff filled with turkey, maybe even a

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Speaker 3: little bit hungover. I plan on being a little bit hungover.

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Speaker 3: I don't drink that much anymore, but sometimes you got

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Speaker 3: to make exceptions, especially around the holidays, right folks. Okay,

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Speaker 3: let me do a couple quick ad reads and I'll

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Speaker 3: get right to Savage Dge because we've got lots to

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Speaker 3: talk about. Okay, Battle crew, let's take a quick break.

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Speaker 3: Everyone thinks they're keeping their family safe, but are you really.

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Speaker 3: I mean, look, we got the desired election result this cycle.

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Speaker 3: Trump's in the Oval office. But still, if you dare

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Speaker 3: defend yourself, our twisted legal system might put you behind

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Speaker 3: bars while the criminal walks free. Anything could happen. You see,

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Speaker 3: they've got us to a point where we're fighting to

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Speaker 3: keep our Second Amendment rights here in America, yet risk

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Speaker 3: losing everything if we actually use them. That's why over

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Speaker 3: eight hundred thousand Americans are members of the USCCA, Because

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Speaker 3: not only will you get access to their Protector Academy

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Speaker 3: to learn vital skills like precision shooting and how to

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Speaker 3: fortify your home against criminals, you'll also get access to

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Speaker 3: the twenty four to seven Critical Response Team and the

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Speaker 3: included benefit of self Defense Liability insurance to make sure

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Speaker 3: you and your family are prepared for anything. For a

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Speaker 3: limited time. Text Sean to eight seven.

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Speaker 1: To two two two to get the usca's free Life

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Speaker 1: Saving Concealed Carrie and Family Defense Guide and a chance

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Speaker 1: to win seventeen hundred dollars to buy any self defense

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Speaker 1: gear you need.

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Speaker 3: Before it's too late. So text Sean s e A

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Speaker 3: N to eight seven to two two to two right now. Okay,

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Speaker 3: I want to bring Savage rich On here in a second.

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Speaker 3: But Hammerhead thank you uh for the rumble. Rand Tip

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Speaker 3: says happy holidays and cheers. Thank you cheers too, my

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Speaker 3: friend uh and Regina thank you, I mean she says,

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Speaker 3: Happy Thanksgiving, Commander Melanie, ask them to serve you. That's

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Speaker 3: a really, really good idea. And let me tell you,

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Speaker 3: she deserves it because she has been working her ass

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Speaker 3: off all week just to prepare our family, to prepare

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Speaker 3: the house, but also our family to have a great Thanksgiving.

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Speaker 3: So okay, bring Savage Rich Barris. On Savage Rich Barris,

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Speaker 3: you're well known to the director of Big Data, Pole,

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Speaker 3: host of Inside the Numbers, also the most accurate poster

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Speaker 3: of the cycle. Cheers, my friend, this is a big deal.

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Speaker 3: What is that is that you got vodka in there?

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Speaker 2: You just I just I went out. I got the

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Speaker 2: you know, with turkey. If anybody wants white wine, I

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Speaker 2: got some white wine. And then I got a port

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Speaker 2: for me that I really love, is a dessert wine.

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Speaker 2: I'm just not a big drink, you know, try to

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Speaker 2: be yeah, but it's no joke. This port that I

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Speaker 2: have like no joke. And you're supposed to drink it

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Speaker 2: in these little glasses because it's got more alcohol in

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Speaker 2: it than not only a normal wine, but a normal port.

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Speaker 2: It's off the chart, really good and it's not cheap.

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Speaker 2: So I only got like one bottle. Everyone loves it,

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Speaker 2: you know, when they come for you know, holidays, and

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Speaker 2: I went to I was like, take a little sip

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Speaker 2: of more, and Laura was like, no, I'm like savage Laura.

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Speaker 2: There she's doing the kitchen and stuff. You know, we

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Speaker 2: got people coming and they're not. No, they're not here yet,

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Speaker 2: thank God. And she's gonna be up like all night long,

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Speaker 2: you know. And she does this every year. I mean,

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Speaker 2: it's an all night thing. And then yeah, she's it's ridiculed.

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Speaker 2: It's so ridiculous what she does. And she makes her

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Speaker 2: own pumpkin pies.

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Speaker 3: That's I mean, so first Melanie made. She's she's making

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Speaker 3: apple pies up there, like like all day she's had

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Speaker 3: She's got this like knife and she's like skin and apple.

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Speaker 3: Anytime I step out of line, she looks at me

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Speaker 3: with the knife and I'm like, okay, all right.

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Speaker 2: Right, man, I bet you that's a good apple pie.

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Speaker 2: Amazing manmade apple pies, man, I do so.

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Speaker 3: Speaking of drunk rich, did you see this video? Watch this?

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Speaker 4: I just have to remind you, don't you ever let

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Speaker 4: anybody take your power from you. You have the same

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Speaker 4: power that you did before November fifth, and you have

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Speaker 4: the same purpose that you did, and you have the

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Speaker 4: same ability to engage and inspire. So don't ever let

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Speaker 4: anybody or any circumstance take your power from.

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Speaker 3: You ability rich Why did her staff allow her to

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Speaker 3: do that? This goes back to my my I think

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Speaker 3: that they were trying to screw this woman over from

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Speaker 3: the very beginning. I think she was a sacrificial lamb.

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Speaker 3: Why are they letting her film videos like that? Looking

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Speaker 3: she looks, and she looks insanely drunk.

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Speaker 2: There there's something so disgusting and off putting about a

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Speaker 2: drunken old woman. Sorry, I'm sorry. Right, you got the

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Speaker 2: neck that tells you she's heavy. Let's cut the crap.

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Speaker 2: Now that the race is over, I can say what

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Speaker 2: I really think. I don't know if you guys know

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Speaker 2: this or not, but I've been put.

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Speaker 3: The crap you say, I've been holding back. Now you've

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Speaker 3: been holding back.

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Speaker 2: I've been very restrained week in and wake out coming

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Speaker 2: on your show, brother, I've been very restrained, all right,

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Speaker 2: And now that the race is over and the numbers

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Speaker 2: are what they are and it's all in the books,

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Speaker 2: you know, I can say what I really think. And

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Speaker 2: what I really think is everyone knows that those rumors

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Speaker 2: were not fake. They were not overblown.

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Speaker 3: Maybe you're a maniac, you know, it's not.

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Speaker 2: She's not falling down the stairs on Air Force two

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Speaker 2: or anything. But she is your typical woman from that

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Speaker 2: generation who does drink, probably too much if we're being honest,

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Speaker 2: and she doesn't like to make decisions. She hates being

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Speaker 2: between a rock and a hard place when she does.

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Speaker 2: This is the answer. Okay, we dodged a bullet here. Brother,

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Speaker 2: This woman would have been a drunken mess and twenty

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Speaker 2: three year old and twenty four year old progressives would

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Speaker 2: have been in charge of this country every time there

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Speaker 2: was a significant decision that came up. I'm telling you,

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Speaker 2: we dodged a bullet here. I can say whatever I

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Speaker 2: want now the numbers are in, They're done. And this

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Speaker 2: is the true fact of it. Everyone who knows Kamala Harrison,

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Speaker 2: has known her for years, has told me the same thing. Man,

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Speaker 2: This woman can't make a decision and she gets angry.

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Speaker 2: She like demeans people because she's incapable of leading, and

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Speaker 2: she's an awful manager of people, which I have said

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Speaker 2: on the show before, and I've told you this is

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Speaker 2: not even a surprise. The fact that the media refused

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Speaker 2: to even tell like not only refused to tell these stories,

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Speaker 2: but they actively hid stories from the American public about

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Speaker 2: her campaign and her office in the Senate as she

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Speaker 2: was the district attorney. She has been an awful manager

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Speaker 2: of people her entire career, and when she has too much,

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Speaker 2: she has too much. And we would have seen those

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Speaker 2: scenes day in and day out, and we all would

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Speaker 2: have been just the same way we did with Joe

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Speaker 2: Biden and oh my god, is this guy c Nile?

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Speaker 2: What the hell is going on here in our country.

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Speaker 2: We would have been like, oh my god, is this

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Speaker 2: woman drunk again? And then they would have been like, no,

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Speaker 2: it's ridiculous. It's a right wing talking point until she

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Speaker 2: showed up to a re election debate so smashed, she

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Speaker 2: fell on her face in front of the entire nation.

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Speaker 2: Think about what they have done to us. And then

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Speaker 2: she like James Carville, I watched her show the other

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Speaker 2: day and you played the.

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Speaker 3: I love it, I love it, I love it right

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Speaker 3: though he's one hundred percent right, he's one hundred.

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Speaker 2: Percent percent correct, and he's from a generation. Look, we're

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Speaker 2: not making fun of drinking, you know, Like the difference

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Speaker 2: between James Carville's generation and Kamala Harris's generation is that

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Speaker 2: James Carvill could get slashed and still run the country.

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Speaker 2: James Carvill could get sloshed and still make a critical decision.

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Speaker 3: You know.

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Speaker 2: Bill Clinton can sniff a line off the left butt

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Speaker 2: cheek of a five dollars wore and still go to

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Speaker 2: the situation room and figure it all out. Brother, like

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Speaker 2: he hasn't lost a single step. Same thing with Lyndon Johnson,

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Speaker 2: Same thing with Jack Kennedy. The guy could take the

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Speaker 2: mess shot in his ash cheek because of his back

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Speaker 2: he was on, and then pop right out and run

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Speaker 2: the show. You know, Like this is the difference these guys.

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Speaker 2: And the worst part about it is they're all no

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Speaker 2: it alls. They think they're smart, you know what I'm saying.

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Speaker 2: They think they're smart. That's the worst part about it.

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Speaker 2: And just somebody like a James Carville after a twenty

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Speaker 2: four case of Bush is more confident, you know than

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Speaker 2: these idiots.

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Speaker 5: You are you are? You are particularly savage today. I

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Speaker 5: can't keep it together, man, like have you Thanksgiving? Let's

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Speaker 5: go I laugh really hard. First of all, like James

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Speaker 5: Carvill I said on the show, yesterday. I don't agree

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Speaker 5: with him on hardly anything, but sometimes his political analysis

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Speaker 5: is spot on. He's exactly right on where the Democrat

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Speaker 5: Party lost their way. They lost working class people. And like,

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Speaker 5: you know, you can't demonize people and shame people for

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Speaker 5: being say white, for example, or basically also, all they do,

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Speaker 5: oh you're if you're homophobic, Oh you're transphobic. Their whole

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Speaker 5: brand is looking down their nose at people. When you

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Speaker 5: do that, you can't be surprised when those people walk away.

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Speaker 5: But when James Carvill said, if I had some twenty

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Speaker 5: three year old telling me what to do, I'd f

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Speaker 5: and fire that person, and I'd find the person who

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Speaker 5: hired them and i'd fire that mfor two, that's the.

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Speaker 2: Way it was back in the day in campaigns. That's

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Speaker 2: the way it was, and you wouldn't. First of all,

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Speaker 2: there used to be and I think this is particularly

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Speaker 2: a problem on the left, but a lack of respect

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Speaker 2: for your elders and your peers. And there was a

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Speaker 2: point in this campaign where like James Carville knew, like

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Speaker 2: I don't know if he looked at our polling specifically,

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Speaker 2: I'm sure he did. I'm sure he did, but he

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Speaker 2: knew that we were right. He knew that she had

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Speaker 2: a major problem with black voters, that she had a

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Speaker 2: black men problem, that she had a Hispanic everyone problem,

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Speaker 2: that she had a young voter problem, and that Democrats

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Speaker 2: in general could really risk losing these people for the

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Speaker 2: long term. It's like, don't touch my football. One thing

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Speaker 2: he said in a zoom call apparently, which was like

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Speaker 2: out of my mouth verbatim, is that Americans, you know,

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Speaker 2: they're going on and on you said transphobic. Most Americans

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Speaker 2: don't believe the garbage, fanatical ideological science about transgenderism.

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Speaker 3: Now.

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Speaker 2: They don't. They don't believe that you're a civil rights hero.

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Speaker 2: If you're a man who runs around cutting their penis

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Speaker 2: off and wanting to wear dresses all day, they think

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Speaker 2: you're a freakin nut job and you have a delu

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Speaker 2: All right, this is never going to be a civil

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Speaker 2: rights issue, buddy, it's not. You know, maybe one hundred

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Speaker 2: years from now there while you know, people look back

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Speaker 2: on what I say and say, well, you know, they

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Speaker 2: get progress. I don't think so.

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Speaker 3: I don't think so either. I think they'll look I

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Speaker 3: think they'll look back at this time period and think,

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Speaker 3: holy shit, what a regressive time period, like, oh my god,

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Speaker 3: I mean, honestly it is. The left is not progressive

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Speaker 3: at all. They are the most progressive group of racist

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Speaker 3: demagogues this I mean they have they are, They seriously

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Speaker 3: are a bunch of racist, fascist, terrible, terrible people. Their

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Speaker 3: party is just I mean the bay seriously, like the

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Speaker 3: leaders of their party. I mean they judge people by

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Speaker 3: the color of their skin and not by the content.

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Speaker 3: I mean, they're terrible people.

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Speaker 2: White women are again once again, white especially married women

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Speaker 2: are once again the enemy. You know, in sixteen they

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Speaker 2: are the enemy. In twenty eighteen it was like, we

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Speaker 2: need you save the country. Then they were the salvation

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Speaker 2: of the country. Then in twenty twenty, of course they

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Speaker 2: were like, you know it. Now they lost, They lost

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Speaker 2: some of them, and they're now back to being, you know,

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Speaker 2: the stupid women who can't make a decision on their own.

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Speaker 2: Who can't you know. And by the way, look at

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Speaker 2: the ants they ran and did. The husband and a

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Speaker 2: wife where by the way, the wife is pretty the

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Speaker 2: husband and they both look like they're conservatives from like

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Speaker 2: you know, like Ohio or something or Pennsylvania. They're both

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Speaker 2: certainly conservatives. The husband looks like your textbook what media

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Speaker 2: always does to the white suburban husband man, right, always

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Speaker 2: they make them the stooge of the joke, the stooge

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Speaker 2: of this plot, the butt of the joke, you know,

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Speaker 2: the incompetent moron.

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Speaker 3: Right.

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Speaker 2: And it's like pushing this idea that you should lie

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Speaker 2: to your husband instead of being opened to and have

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Speaker 2: a debate like in our marriage. Could you I can't

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Speaker 2: even know, no, you would, Commander Melanie Ever, just do

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Speaker 2: something you tell her to do, because like it's like

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Speaker 2: like these people have this character of us that's insane.

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Speaker 3: What are you talking about, Commander Melanie Ever, do anything

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Speaker 3: that I asked her to do. You can't tell her, no,

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Speaker 3: tell her to do not ask her tell her because

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Speaker 3: I told her. That's the funniest thing in the word.

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Speaker 2: It's such a good pramplying telling them you were telling

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Speaker 2: them to vote for Trump.

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Speaker 3: You know, they act like conservative men run these handmaid

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Speaker 3: and tail household like it's it's absolutely ridiculous. No conservative men,

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Speaker 3: by the way, I have a theory about this, like

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Speaker 3: we're all sort of type A. I mean, look, the

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Speaker 3: left is filled with a bunch of you know, like

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Speaker 3: low t men. I mean they're science behind this. Seriously,

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Speaker 3: there was all that said they did. There is science. Yeah,

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Speaker 3: they did testosterone checks of all the males and NPR

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Speaker 3: and they were I'm serious, I can find the If

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Speaker 3: I had a producer, i'd have him pulled the article,

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Speaker 3: but this article exists. They were all well below the

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Speaker 3: testosterone threshold for a healthy male their age. And by contrast,

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Speaker 3: conservatives don't have that problem. I mean, and I mean

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Speaker 3: maybe they do, but by by and large, conservative men

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Speaker 3: are just wired differently. And I think like we came

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Speaker 3: up watching movies like you know, Star Wars where you

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Speaker 3: had Princess Leiah, a strong woman character, and you're like,

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Speaker 3: or Sarah Connor and yeah, Rocky or something, Eric Connor

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Speaker 3: and Terminator too, like all of these strong women like.

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Speaker 3: And that's I'm saying all this to say, Like when

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Speaker 3: I ran for office, they made me out to be like, oh,

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Speaker 3: Sean likes like meek women. I'm like, have you met

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Speaker 3: my wife? She's not meek at all. She will light

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Speaker 3: you up, you know. And I actually there's nothing better

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Speaker 3: than a shield maiden strong.

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Speaker 4: Yeah.

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Speaker 2: I was just gonna say, I don't think that type

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Speaker 2: amen like true type amen, true alphas, which are definitely

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Speaker 2: mostly conservative. I don't think that true type amen even

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Speaker 2: like women like that, So like I you know, folks,

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Speaker 2: you guys, ever watch Alexander, the newer version of Alexander,

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Speaker 2: the movie about Alexander the Great. You know, he's supposed

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Speaker 2: to marry a Macedonian woman. They all the generals want

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Speaker 2: him to, and he just they're all subservient women. And

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Speaker 2: when he goes east, the conquers different areas. Of course,

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Speaker 2: Darias takes Dersi's throne. He keeps going east, and what

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Speaker 2: happens he runs into as certainly a foreigner tribe and

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Speaker 2: that he's conquering, and he meets this woman who's just

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Speaker 2: like will not sleep with him without like a physical fight,

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Speaker 2: you know, like, and that's what gets alex alex that's

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Speaker 2: what gets him going. He's like, no, this one I'll marry.

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Speaker 2: And it's like that's how al for men are. It's like,

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Speaker 2: you know what I'm saying, Like she was challenged him,

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Speaker 2: She challenged him, she had her own strength, and you know, like,

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Speaker 2: and that is attractive to an alpha male and it's

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Speaker 2: not I don't you know what. It's like they're on

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Speaker 2: the outside looking in and they have all of these

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Speaker 2: preconceived notions about people in general, and this is the

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Speaker 2: mistake they make, right, And then to run against someone

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Speaker 2: like Donald Trump, who doesn't who has what his his

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Speaker 2: notion of people and different things would drive some what

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Speaker 2: motivates them, what, what their fears are, what their hopes are. Right,

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Speaker 2: comes from him actually being a part of so many

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Speaker 2: different people's lives, from like building skyscrapers to you know,

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Speaker 2: constantly and being on the floor and watching people you

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Speaker 2: know who were literally wear a hard hat every day

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Speaker 2: and listening to them and their talk and their work banter,

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Speaker 2: and it's just a different life. Like Kamala Harris has

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Speaker 2: never stepped foot in an area situation like that, the

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Speaker 2: media has never stepped foot in. And they're just frankly

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Speaker 2: flat out lazy. So I got the hippiees from It

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Speaker 2: wasn't really hippies, It wasn't just focused on me, but

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Speaker 2: it was really a target toward Bannon. But they had

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Speaker 2: me in it and all, Yeah, all this lazy woman

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Speaker 2: did was take a clip off of Twitter. She didn't

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Speaker 2: pick up the phone, she didn't call it. They think

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Speaker 2: they already know about you. That's my point. I guess

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Speaker 2: I'm trying to make they're all like this. They think

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Speaker 2: they know better, they think they already know. They're super lazy.

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Speaker 2: They are not nearly as smart as they think they are,

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Speaker 2: which is I think part of James Carvill's frustration. He

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Speaker 2: ran into these people and they are not like him.

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Speaker 2: They're not like guys. I'm not trying to like hold

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Speaker 2: James Carvill up like he's some kind of good guy,

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Speaker 2: but he's certain because he's not. Remember the running through

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Speaker 2: a trailer park comment. It's not a great guy. But

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Speaker 2: he is from a different generation where he even he

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Speaker 2: doesn't understand this. And it's like, you know, what's her

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Speaker 2: name from CNN? I just had to look at her

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Speaker 2: post she put on before talking about how she's attacking

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Speaker 2: Nancy Mace because Nancy Mace doesn't want transgender representative in

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Speaker 2: the bathroom with her, and she's like, yeah, let's let

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Speaker 2: me fix this for you. I'm the one with the

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Speaker 2: mental illness moment. I'm like, just keep going with this

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Speaker 2: because you think you know and you refuse to acknowledge

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Speaker 2: when you don't know, and that is a dangerous person.

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Speaker 2: You're really dangerous person. The ignorant who thinks that they're

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Speaker 2: all that a narcissistic, an ignorant, narcissistic person is so dangerous,

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Speaker 2: Sean so dangerous, they they're the worst.

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Speaker 3: I couldn't agree with you more. Okay, shift focus with

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Speaker 3: me real quick to the polling. And there has been

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Speaker 3: news headlines that came out today and obviously we're going

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Speaker 3: to spend some time talking about you know, you being

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Speaker 3: the best in the business. That's the title of the show.

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Speaker 3: That's what the show is all about. It's about you.

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Speaker 3: When you told me that last night that you were

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Speaker 3: the most accurate polster of the cycle, Rich, I was

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Speaker 3: so happy for you, man, because no one deserves it

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Speaker 3: more than you. You work your ass off at this

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Speaker 3: and so does Laura, So you deserve all of those accolades.

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Speaker 3: And we'll get to that here in a little bit.

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Speaker 3: But a lot of public polling out there, and a

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Speaker 3: lot of the public polling over time. I mean, you

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Speaker 3: talked about the Iowa poll with Kamala up three and

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Speaker 3: i Iowa and a Seltzer was Everyone's like, where the

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Speaker 3: hell has this come from? Trump wins Iowa by what

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Speaker 3: like thirteen or some some and s yeah, some insane margin. So,

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Speaker 3: like all public polls in many cases had Kamala ahead,

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Speaker 3: especially leading into the home stretch, and you talked about this,

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Speaker 3: you said it was bullshit, it's not accurate. And now

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Speaker 3: we're finding out. And I got this David Plouf, who

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Speaker 3: is like a high level senior strategist on Kamala's campaign.

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Speaker 3: Listen to what he said about their internal polling, and

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Speaker 3: then I want to get your.

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Speaker 6: Reaction when we got in. My recollection is some of

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Speaker 6: that snap back. But you know, we were behind. I mean,

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Speaker 6: I think it surprised people because there was these public

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Speaker 6: polls that came out in late September early October showing

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Speaker 6: us with leads that we never saw, you know. I mean,

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Speaker 6: it was just basically a race that in the battlegrounds

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Speaker 6: was forty six forty seven, forty seven, forty eight. So

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Speaker 6: that's not where we started. We started behind. She was

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Speaker 6: able to climb out. I think even after the debate

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Speaker 6: we might have gained what point five to one. It

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Speaker 6: wasn't a race that moved a lot. And so I

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Speaker 6: think when you think about our own internal analytics, you know,

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Speaker 6: if you have a Wisconsin at forty seven forty seven

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Speaker 6: or Pennsylvania forty eight forty seven, Trump let's say, which

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Speaker 6: I think is where we had it at the end.

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Speaker 6: You know, you've got to have undecided to break your

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Speaker 6: way more than your opponents, and you've got to get

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Speaker 6: a little benefit from turnout, which we weren't able to do.

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Speaker 3: What do you think about that? So his aren't internal

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Speaker 3: polling so frustrating? We've never had Kamala up at all yet,

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Speaker 3: nobody if you if you paid attention to public polling,

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Speaker 3: you'd never know that.

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Speaker 2: So frustrating because as these polls came out right, and

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Speaker 2: you know, I just I'm beating up on people on

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Speaker 2: purpose because I think they deserve it. Like Amy Walter

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Speaker 2: Cook Politico, I would come on your show if they're clik.

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Speaker 2: Politico released around of polls showing her up basically everywhere,

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Speaker 2: and by the way, always holding polls for two weeks.

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Speaker 2: You remember that, gig, Remember that true.

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Speaker 3: By the way, explaining to the audience, explain for the

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Speaker 3: audience why that's a huge no, no taking it taking

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Speaker 3: a poll over two three weeks, which some cases it

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Speaker 3: was three weeks. Yeah.

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Speaker 2: So there's a couple of things. Number one, first and

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Speaker 2: foremost is that polls are a snapshot in time unless

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Speaker 2: you're tracking on a daily basis. They are a snapshot

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Speaker 2: in time. And I'm not saying public opinion changes dramatically

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Speaker 2: over time, because I'm one of those people who believe

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Speaker 2: it doesn't who votes does and whatnot, But the environment

429
00:23:19,400 --> 00:23:22,720
Speaker 2: that you pull in does. So there could be news

430
00:23:22,720 --> 00:23:26,000
Speaker 2: events or things that happen, like attempted assassinations. There could

431
00:23:26,000 --> 00:23:30,439
Speaker 2: be glowing media coverage after Democrats dumped Joe Biden and

432
00:23:30,440 --> 00:23:34,400
Speaker 2: put up Kamamala Harris, and that influences the environment you're

433
00:23:34,440 --> 00:23:37,760
Speaker 2: pulling in. So if you pull for that time, you

434
00:23:37,840 --> 00:23:41,000
Speaker 2: hold the poll a couple of weeks, right, and then

435
00:23:41,040 --> 00:23:43,639
Speaker 2: that dies down. She makes a bunch of stupid eras

436
00:23:43,680 --> 00:23:45,840
Speaker 2: she goes on sixty minutes, makes a fool of herself,

437
00:23:46,119 --> 00:23:48,800
Speaker 2: goes on all these programs. It goes not Lesster, the

438
00:23:48,800 --> 00:23:51,560
Speaker 2: other guy, remember, and totally fell on her face, made

439
00:23:51,600 --> 00:23:54,239
Speaker 2: a fool of herself because she's an idiot. Let's face it.

440
00:23:54,280 --> 00:23:56,800
Speaker 2: She's a stupid person, all right. I'm so tired of

441
00:23:56,800 --> 00:23:59,200
Speaker 2: all these glowing reviews of her. She's a moron who

442
00:23:59,200 --> 00:24:02,040
Speaker 2: sucked their way to the time. I'm over this shit. Okay,

443
00:24:02,840 --> 00:24:06,159
Speaker 2: come on, let's cut the shit. You wanted that as

444
00:24:06,200 --> 00:24:08,440
Speaker 2: your first female president. I want to tell my daughter

445
00:24:08,640 --> 00:24:10,560
Speaker 2: be a whore and you can be the president one day.

446
00:24:10,600 --> 00:24:15,200
Speaker 2: I'm done with this crap man. Jesus over this, dude.

447
00:24:15,200 --> 00:24:18,199
Speaker 2: It's over now. We can stop pretending. You know. The

448
00:24:18,240 --> 00:24:20,640
Speaker 2: bottom line is, they hold those polls for two weeks,

449
00:24:20,680 --> 00:24:22,719
Speaker 2: they wait till she falls on her face, and then

450
00:24:22,720 --> 00:24:25,400
Speaker 2: they dumped them as if like the environment hasn't changed.

451
00:24:25,720 --> 00:24:27,360
Speaker 2: And then those of us who are trying to pull

452
00:24:27,400 --> 00:24:30,400
Speaker 2: and do a good job and show the real environment,

453
00:24:30,520 --> 00:24:32,800
Speaker 2: the real state of the race. I know you're slapping away,

454
00:24:34,119 --> 00:24:37,280
Speaker 2: but it's a serious topic, you know. And those of

455
00:24:37,320 --> 00:24:39,200
Speaker 2: us who are trying to show the real, true state

456
00:24:39,240 --> 00:24:41,840
Speaker 2: of the race are getting hit with these cook Politico

457
00:24:42,000 --> 00:24:44,639
Speaker 2: polls and getting hit with all this other crap sean,

458
00:24:44,920 --> 00:24:49,760
Speaker 2: and it's like confusing to the public number one, confusing

459
00:24:49,840 --> 00:24:54,640
Speaker 2: to the industry, and just dishonest. Everybody knows the Washington

460
00:24:54,720 --> 00:24:58,400
Speaker 2: Post pulled for a month and then withheld the pole

461
00:24:58,520 --> 00:25:01,719
Speaker 2: for nearly three weeks. You have got to be kidding me.

462
00:25:02,000 --> 00:25:06,080
Speaker 2: Morning Console not once, not twice, but three times had

463
00:25:06,119 --> 00:25:10,000
Speaker 2: released poles that were conducted weeks prior and then allowed

464
00:25:10,160 --> 00:25:13,640
Speaker 2: their client, which was Bloomberg News, to use the results

465
00:25:13,680 --> 00:25:18,000
Speaker 2: of those polls to explain current events. Folks. My point

466
00:25:18,080 --> 00:25:21,200
Speaker 2: is this, they were lying to you on purpose. They

467
00:25:21,200 --> 00:25:23,639
Speaker 2: were lying to and morning console. You guys think I'm

468
00:25:23,680 --> 00:25:26,639
Speaker 2: ever gonna respect you. You sat there with your thumbs up,

469
00:25:26,640 --> 00:25:31,000
Speaker 2: your ass and you said nothing while your client manipulated

470
00:25:31,040 --> 00:25:34,840
Speaker 2: your data to serve their purpose. That is not what

471
00:25:34,880 --> 00:25:37,880
Speaker 2: this industry is supposed to be about. There, it's like, man,

472
00:25:38,000 --> 00:25:40,439
Speaker 2: I can't. I mean, I'm being hard on people, but

473
00:25:41,119 --> 00:25:42,679
Speaker 2: it's a sacred duty here.

474
00:25:42,560 --> 00:25:44,600
Speaker 3: Sean Well, I mean rich when they do this when

475
00:25:44,600 --> 00:25:47,159
Speaker 3: they did. There's a reason why our side doesn't trust poles,

476
00:25:47,400 --> 00:25:49,360
Speaker 3: and it's because of people like them, and they lie,

477
00:25:49,440 --> 00:25:51,240
Speaker 3: so it makes it harder on people like you who

478
00:25:51,280 --> 00:25:52,800
Speaker 3: make a living doing this the right way.

479
00:25:54,160 --> 00:25:56,000
Speaker 2: And this time, come on, you're not going to tell

480
00:25:56,040 --> 00:25:59,640
Speaker 2: me that a lot of this wasn't intentional. Sixteen okay,

481
00:26:00,000 --> 00:26:01,960
Speaker 2: missed a bunch of white rockings pass who came out

482
00:26:02,000 --> 00:26:04,199
Speaker 2: who didn't come out in twelve all right, And it

483
00:26:04,240 --> 00:26:07,000
Speaker 2: wasn't even too too bad. It was the hurting at

484
00:26:07,040 --> 00:26:09,680
Speaker 2: the end that bothers me the most. Like ABC News

485
00:26:09,720 --> 00:26:12,320
Speaker 2: started with like I think Hillary plus twelve or fourteen,

486
00:26:12,600 --> 00:26:15,920
Speaker 2: the AP actually ended with Clinton plus double digits. I

487
00:26:15,920 --> 00:26:18,720
Speaker 2: think it was thirteen, and they ended with Biden plus fourteen.

488
00:26:18,880 --> 00:26:23,439
Speaker 2: Just ludicrous margins. And you know, and most people that

489
00:26:23,600 --> 00:26:28,359
Speaker 2: hurted to close race at the end, showing that Trump

490
00:26:28,440 --> 00:26:30,800
Speaker 2: had a little bit of late momentum. Meanwhile, you have

491
00:26:30,880 --> 00:26:33,640
Speaker 2: our poll which tracked in the summer every day month,

492
00:26:33,720 --> 00:26:36,640
Speaker 2: three day rolling average after labor day, seven day rolling

493
00:26:36,680 --> 00:26:39,560
Speaker 2: average before labor day, and you could see it clear

494
00:26:39,600 --> 00:26:41,880
Speaker 2: as day. Trump had a lead in these states more

495
00:26:41,920 --> 00:26:44,680
Speaker 2: than she did, and he just needed to clear the bar,

496
00:26:45,119 --> 00:26:47,000
Speaker 2: tell people that he could do the job, convinced the

497
00:26:47,080 --> 00:26:49,320
Speaker 2: voters he could do the job, and that last brick

498
00:26:49,359 --> 00:26:52,000
Speaker 2: of undecided that didn't want Hillary and wanted change would

499
00:26:52,040 --> 00:26:54,600
Speaker 2: go to him and he would win that race. Fine, okay,

500
00:26:54,600 --> 00:26:57,560
Speaker 2: And then we do an autopsy. They try to whitewash

501
00:26:57,840 --> 00:27:01,480
Speaker 2: the polling errs and they move forward eighteen hits and again,

502
00:27:01,760 --> 00:27:04,960
Speaker 2: tons of polling errors in key races, Senate races and

503
00:27:05,040 --> 00:27:08,480
Speaker 2: key battleground states. Senate races and states that you know

504
00:27:08,520 --> 00:27:12,200
Speaker 2: are very similar to key battleground states. For instance, like Indiana,

505
00:27:12,320 --> 00:27:15,920
Speaker 2: Joe'donnelly had a lead of seven points. It's crazy Mike

506
00:27:15,960 --> 00:27:18,720
Speaker 2: Brown won. He won comfortable, and it matters because it

507
00:27:18,720 --> 00:27:20,680
Speaker 2: shows that you're messing up in the rost belt still

508
00:27:20,720 --> 00:27:23,359
Speaker 2: in the industrial Midwest. You're having a problem, You're not

509
00:27:23,440 --> 00:27:26,440
Speaker 2: doing something right, You're having an issue polling there Florida,

510
00:27:26,480 --> 00:27:29,119
Speaker 2: over and over and over again. The point I'm saying

511
00:27:29,240 --> 00:27:32,439
Speaker 2: is there has been enough time to have this debate,

512
00:27:32,800 --> 00:27:36,480
Speaker 2: and they lie to people, and they intentionally manipulated what

513
00:27:36,520 --> 00:27:39,440
Speaker 2: the data said. They intentionally manipulated to make it look

514
00:27:39,480 --> 00:27:42,119
Speaker 2: like Kamala had a lead. Nate Cohen wrote an article

515
00:27:42,160 --> 00:27:45,120
Speaker 2: saying he manipulated the data and oh, by the way,

516
00:27:45,160 --> 00:27:46,920
Speaker 2: I think Trump's going to win. This is the best

517
00:27:46,920 --> 00:27:49,160
Speaker 2: I could do for you Democrats. That's what he wrote

518
00:27:49,200 --> 00:27:51,240
Speaker 2: in that final article and that was the second one

519
00:27:51,280 --> 00:27:53,440
Speaker 2: of its kind in the cycle where he put out

520
00:27:54,640 --> 00:27:57,159
Speaker 2: results that Joe Harris ahead in these states where she

521
00:27:57,240 --> 00:28:00,600
Speaker 2: was not ahead, and he writes this caveat at the end, like, oh,

522
00:28:00,640 --> 00:28:03,719
Speaker 2: by the way, and I'm understating Trump support again, like

523
00:28:04,800 --> 00:28:09,199
Speaker 2: that's not legitimate polling. Okay, that is not That is

524
00:28:09,480 --> 00:28:13,800
Speaker 2: the media is pulling. Like Latin America. Countries had this

525
00:28:14,359 --> 00:28:19,359
Speaker 2: spree during the era of especially when like NAFTA went

526
00:28:19,440 --> 00:28:23,560
Speaker 2: into effect, where certain governments really felt that they needed

527
00:28:23,560 --> 00:28:26,679
Speaker 2: to hold on, and the narcos supported those governments. So

528
00:28:27,000 --> 00:28:28,720
Speaker 2: they went to the narcos to get a bunch of

529
00:28:28,760 --> 00:28:31,879
Speaker 2: money to run a bunch of fake polling industries to

530
00:28:31,920 --> 00:28:34,120
Speaker 2: make it look like the ruling party was going to win,

531
00:28:34,400 --> 00:28:36,560
Speaker 2: so that when they rigged the vote, they could trick them,

532
00:28:36,640 --> 00:28:39,120
Speaker 2: trick the people into thinking that he had to lead

533
00:28:39,200 --> 00:28:40,960
Speaker 2: the whole time and his party had to lead the

534
00:28:40,960 --> 00:28:43,040
Speaker 2: whole time. There was like a string of these from

535
00:28:43,080 --> 00:28:46,680
Speaker 2: Mexico to other countries around Latin America. And what are

536
00:28:46,680 --> 00:28:47,680
Speaker 2: we Latin America now?

537
00:28:47,720 --> 00:28:47,880
Speaker 6: Man?

538
00:28:47,920 --> 00:28:50,840
Speaker 2: What are we third world? We're using polls as like propaganda.

539
00:28:51,080 --> 00:28:53,560
Speaker 2: So like I gave them some time, even though they

540
00:28:53,640 --> 00:28:55,720
Speaker 2: always ran my name through the mud, even though they

541
00:28:55,720 --> 00:28:58,480
Speaker 2: always smeared me, I gave them some time. Well, time

542
00:28:58,600 --> 00:29:01,280
Speaker 2: is up this elect You know you thought I was

543
00:29:01,280 --> 00:29:04,560
Speaker 2: hard on these people. Now just wait, Nate Silver. I'm

544
00:29:04,560 --> 00:29:07,720
Speaker 2: gonna call a fake every day and remind everybody that

545
00:29:07,800 --> 00:29:10,760
Speaker 2: he is not a polster every day until he decides

546
00:29:10,800 --> 00:29:13,400
Speaker 2: to quit this industry and go somewhere else. We don't

547
00:29:13,480 --> 00:29:16,000
Speaker 2: need him, we don't want him. He's a loser, he's

548
00:29:16,040 --> 00:29:19,280
Speaker 2: a hack. David Bluff, who you just saw on that video,

549
00:29:19,680 --> 00:29:22,600
Speaker 2: is the entire reason Nate Silver is a somebody. He

550
00:29:22,680 --> 00:29:24,360
Speaker 2: used to write under this pen name, he used to

551
00:29:24,360 --> 00:29:27,800
Speaker 2: blog under plubilius or whatever he used to call himself,

552
00:29:27,920 --> 00:29:31,040
Speaker 2: all right, pubic hair or whatever is his handle was,

553
00:29:31,280 --> 00:29:34,080
Speaker 2: all right, And all he did was take polling data

554
00:29:34,120 --> 00:29:36,640
Speaker 2: from David Pluff and put it out there and pretend

555
00:29:36,760 --> 00:29:38,800
Speaker 2: is if it was an election model. That's how Nate

556
00:29:38,840 --> 00:29:42,720
Speaker 2: Silver got to start, folks, And then for his shilling,

557
00:29:43,440 --> 00:29:45,240
Speaker 2: they made sure he had a place in the New

558
00:29:45,320 --> 00:29:47,520
Speaker 2: York Times, which then led to five point thirty eight.

559
00:29:47,640 --> 00:29:50,000
Speaker 2: All right, that is how he became who he was.

560
00:29:50,280 --> 00:29:52,120
Speaker 2: But because he's not good at it, and because he's

561
00:29:52,160 --> 00:29:54,719
Speaker 2: not real and none of these people are, and because

562
00:29:54,760 --> 00:29:57,720
Speaker 2: his main job was to skew poles and attack polsters

563
00:29:57,760 --> 00:30:00,040
Speaker 2: like mat who tried to do a good job, that

564
00:30:00,160 --> 00:30:03,720
Speaker 2: was his job and nobody was buying that product after

565
00:30:03,760 --> 00:30:05,960
Speaker 2: twenty twenty, so they fired him. And now he's out

566
00:30:06,000 --> 00:30:08,280
Speaker 2: there doing it on his own and people are citing him,

567
00:30:08,280 --> 00:30:11,120
Speaker 2: and it stop, just stop. He's not a polster, he's

568
00:30:11,160 --> 00:30:13,840
Speaker 2: not an election forecaster. He's not even a good statistician.

569
00:30:14,080 --> 00:30:16,719
Speaker 2: He was a bad sports handicapper, which is why he

570
00:30:16,760 --> 00:30:19,720
Speaker 2: couldn't make it in that industry. And you were all

571
00:30:19,760 --> 00:30:23,240
Speaker 2: currently the suckers who were giving him something to do

572
00:30:23,680 --> 00:30:25,600
Speaker 2: because he couldn't do it. It couldn't make it in

573
00:30:25,640 --> 00:30:29,479
Speaker 2: the industry. He initially wanted to roll in Seawan, you know.

574
00:30:29,560 --> 00:30:32,040
Speaker 2: And this is the problem too, a big problem with

575
00:30:32,080 --> 00:30:35,800
Speaker 2: why posters haven't revised. In Nate Silvers, the g Elliott Morris's,

576
00:30:36,080 --> 00:30:38,160
Speaker 2: they all have these aggregates. This is why worl Clear

577
00:30:38,200 --> 00:30:41,280
Speaker 2: politics is more accurate. They don't touch tinker with the

578
00:30:41,320 --> 00:30:44,680
Speaker 2: poll right, they don't adjust based on their so called

579
00:30:44,760 --> 00:30:47,280
Speaker 2: house effect. You know, in five point thirty eight, I

580
00:30:47,280 --> 00:30:50,360
Speaker 2: have an average bias of seven points toward Republicans. That's

581
00:30:50,400 --> 00:30:53,040
Speaker 2: not even true. And if anybody reading that would look

582
00:30:53,080 --> 00:30:55,080
Speaker 2: at it, what they would think it means is that

583
00:30:55,160 --> 00:30:57,959
Speaker 2: I over state Republicans by seven points. That's not what

584
00:30:58,000 --> 00:31:01,040
Speaker 2: it means. It means I'm seven points to the right

585
00:31:01,480 --> 00:31:06,080
Speaker 2: more than a typical consensus, the consensus of polls. That

586
00:31:06,200 --> 00:31:09,960
Speaker 2: is wrong. So they're literally punishing me for being right

587
00:31:10,720 --> 00:31:16,080
Speaker 2: and protecting the consensus, protecting the propagandists, protecting the Maris College.

588
00:31:16,920 --> 00:31:19,240
Speaker 2: That is what they're doing. It's time for everyone to

589
00:31:19,440 --> 00:31:23,160
Speaker 2: understand this. Now it's over. I'm not going to let

590
00:31:23,160 --> 00:31:27,160
Speaker 2: this happen anymore moving forward. It's over. And unless you

591
00:31:27,200 --> 00:31:29,280
Speaker 2: know he has the balls to come on inside the

592
00:31:29,360 --> 00:31:31,760
Speaker 2: numbers or I'll go on a different show. I don't care, man,

593
00:31:32,080 --> 00:31:35,880
Speaker 2: I am going to end all of their careers. This

594
00:31:34,480 --> 00:31:39,560
Speaker 2: is this has gotta stop. You know, the the Alan Lickman's,

595
00:31:39,640 --> 00:31:43,200
Speaker 2: they're not serious people. The Larry Sabado's, these are hacks.

596
00:31:43,280 --> 00:31:46,520
Speaker 2: Larry Sabado should be frankly be investigated for using his

597
00:31:46,720 --> 00:31:53,160
Speaker 2: role to influence political action committees. And he's got like

598
00:31:53,960 --> 00:31:57,680
Speaker 2: he's blending the University of Virginia Center for Politics Business,

599
00:31:57,840 --> 00:32:01,200
Speaker 2: which would be which is taxpayer funded with political action

600
00:32:01,360 --> 00:32:05,800
Speaker 2: committee activity. And then he's using his role in his model,

601
00:32:06,160 --> 00:32:10,360
Speaker 2: his so called credible and highly respected model, to influence

602
00:32:10,720 --> 00:32:15,880
Speaker 2: public opinion or influence not even opinion, but perceptions of

603
00:32:16,040 --> 00:32:19,840
Speaker 2: races like this is a fraud. This is engaging in

604
00:32:19,880 --> 00:32:24,200
Speaker 2: fraudulent activity. And and bottom line is you know that

605
00:32:24,600 --> 00:32:27,480
Speaker 2: it stops from here. I really feel it. There's a

606
00:32:27,560 --> 00:32:30,760
Speaker 2: sea change this time, brother, there is, because this is

607
00:32:31,000 --> 00:32:33,920
Speaker 2: this is an industry that for those of us who

608
00:32:33,920 --> 00:32:37,840
Speaker 2: are true believers. You know, the Republicans survive without it.

609
00:32:37,880 --> 00:32:40,680
Speaker 2: They can't, it can't. How are lawmakers going to know

610
00:32:40,720 --> 00:32:44,480
Speaker 2: what their constituents want right? How are campaigns going to

611
00:32:44,560 --> 00:32:48,680
Speaker 2: know how to properly address the message that they're tailoring

612
00:32:48,720 --> 00:32:51,000
Speaker 2: the voters? How do they even know what voters want?

613
00:32:51,120 --> 00:32:51,320
Speaker 3: You know?

614
00:32:51,760 --> 00:32:54,800
Speaker 2: What the direction this country is going in? And by

615
00:32:54,840 --> 00:32:57,200
Speaker 2: the way, while we're at it, lasting on all of that,

616
00:32:57,960 --> 00:33:00,920
Speaker 2: him and David Pluff were super tight. You're telling me

617
00:33:01,040 --> 00:33:04,360
Speaker 2: Nate Silver didn't know that Kamala Harris's internals had her down.

618
00:33:04,600 --> 00:33:07,840
Speaker 2: In fact, he wrote an entire article attacking Mark Alper,

619
00:33:08,640 --> 00:33:11,360
Speaker 2: who was talking about internal polls a lot and saying

620
00:33:11,360 --> 00:33:15,000
Speaker 2: they're more robust, they're a larger sample size, they're conducted

621
00:33:15,480 --> 00:33:17,520
Speaker 2: with a larger budget, so they're able to go a

622
00:33:17,560 --> 00:33:19,880
Speaker 2: little bit more more, not a little bit, They're able

623
00:33:19,920 --> 00:33:22,680
Speaker 2: to go a lot more granular and a lot more detail.

624
00:33:23,160 --> 00:33:26,760
Speaker 2: And Nate Silver was playing white wash or not even

625
00:33:26,800 --> 00:33:28,920
Speaker 2: he was playing like the cover up role. Oh that's

626
00:33:28,960 --> 00:33:33,080
Speaker 2: not true. Public polling can often be, you know, just propaganda.

627
00:33:33,160 --> 00:33:37,479
Speaker 2: And there are two sets of public polls, guys, Like

628
00:33:37,600 --> 00:33:41,720
Speaker 2: a congressional poll that is twelve thousand dollars twelve to

629
00:33:41,760 --> 00:33:44,800
Speaker 2: fifteen thousand dollars conducted for a candidate in a medium

630
00:33:44,840 --> 00:33:48,600
Speaker 2: size or mediocre congressional district. Sometimes the pollster is too

631
00:33:48,720 --> 00:33:51,520
Speaker 2: bullish and gives them, you know, some BS number to

632
00:33:51,920 --> 00:33:54,680
Speaker 2: help prop them up and help fundraising. That stuff happens,

633
00:33:54,720 --> 00:33:57,880
Speaker 2: and that's a totally different topic. But at the presidential

634
00:33:58,000 --> 00:34:02,640
Speaker 2: level and at the senatorial level, presidential polling is robust.

635
00:34:03,000 --> 00:34:06,160
Speaker 2: Senatorial internal polling is robust, or it should be. At

636
00:34:06,160 --> 00:34:08,600
Speaker 2: the senate level, I've pulled Actually I'm not going to

637
00:34:08,640 --> 00:34:11,040
Speaker 2: get into it, but obviously I have, and it was

638
00:34:11,160 --> 00:34:14,560
Speaker 2: like a much higher budget. Give me the right answer.

639
00:34:14,680 --> 00:34:17,560
Speaker 2: Do whatever you gotta do. I want granular data. I

640
00:34:17,600 --> 00:34:23,040
Speaker 2: want micro messaging, you know, like micro level messaging. It

641
00:34:23,160 --> 00:34:26,400
Speaker 2: is absolutely the case that Mark Alperne was right, and

642
00:34:26,480 --> 00:34:29,600
Speaker 2: this guy was not not only arguing that, but he

643
00:34:29,680 --> 00:34:32,719
Speaker 2: was arguing it knowing full well that people like me

644
00:34:32,800 --> 00:34:35,520
Speaker 2: who also saw Harris's internals. How many times did I

645
00:34:35,560 --> 00:34:37,040
Speaker 2: text you and say, Harris.

646
00:34:36,800 --> 00:34:38,400
Speaker 3: Is many times? Many times?

647
00:34:38,520 --> 00:34:41,080
Speaker 2: How many other guys Just so you guys know, like

648
00:34:41,160 --> 00:34:44,120
Speaker 2: behind the scenes, I'm getting and I'm the people's pundit.

649
00:34:44,480 --> 00:34:47,680
Speaker 2: If I'm getting it, the Nates are getting it the

650
00:34:47,719 --> 00:34:53,560
Speaker 2: political reporters. Okay, understand if I knew three days or

651
00:34:53,600 --> 00:34:57,239
Speaker 2: two days before it was released that Ann Seltzer was

652
00:34:57,280 --> 00:35:01,240
Speaker 2: going to put out a propaganda's shit poll, other people

653
00:35:01,280 --> 00:35:03,239
Speaker 2: knew it, and I knew it because of people who

654
00:35:03,239 --> 00:35:06,040
Speaker 2: were upset that Ann was calling all these Harris and

655
00:35:06,080 --> 00:35:08,960
Speaker 2: Democratic operatives and like, you know, saying things like and

656
00:35:09,040 --> 00:35:10,960
Speaker 2: I quote, I'm gonna drop a bomb in the son

657
00:35:10,960 --> 00:35:12,960
Speaker 2: of a bitch's lap. All right, That's what I was

658
00:35:13,040 --> 00:35:16,880
Speaker 2: told she said on the phone to somebody, and from

659
00:35:16,960 --> 00:35:20,719
Speaker 2: someone that I had gotten information from. So come on, dude,

660
00:35:20,800 --> 00:35:24,560
Speaker 2: give me a break. They knew they lied. And then

661
00:35:24,640 --> 00:35:27,000
Speaker 2: all I can tell you is that we always try

662
00:35:27,040 --> 00:35:28,560
Speaker 2: to do the best job we can do. Whether we

663
00:35:28,640 --> 00:35:31,080
Speaker 2: think people certain people are gonna like it or not

664
00:35:31,280 --> 00:35:33,439
Speaker 2: like it, it's got to be the truth. And I'm

665
00:35:33,440 --> 00:35:39,560
Speaker 2: telling you right now. Kamala Harris never led. She never led.

666
00:35:39,760 --> 00:35:43,319
Speaker 2: Was it close to times and closer sometimes, sure, But

667
00:35:43,440 --> 00:35:46,560
Speaker 2: she was never the favorite. It was never fifty to fifty.

668
00:35:46,800 --> 00:35:49,120
Speaker 2: It was never a fifty to fifty toss up. It

669
00:35:49,160 --> 00:35:52,800
Speaker 2: was not even fifty five forty five. It was sixty five,

670
00:35:53,280 --> 00:35:57,120
Speaker 2: sixty six to thirty three. You know, maybe sixty forty

671
00:35:57,120 --> 00:35:59,360
Speaker 2: on some low ends, but for the most part, Donald

672
00:35:59,400 --> 00:36:03,319
Speaker 2: Trump was a seventy thirty favorite from like almost the

673
00:36:03,520 --> 00:36:09,240
Speaker 2: entire election cycle. It's just insane, man, What the truth is? First?

674
00:36:09,239 --> 00:36:10,760
Speaker 2: What you hear before in election?

675
00:36:11,280 --> 00:36:14,920
Speaker 3: Yeah, it's it's absolutely it's propaganda. Can you stay there?

676
00:36:15,440 --> 00:36:17,600
Speaker 3: I can we talk after the break real quick? A right?

677
00:36:17,640 --> 00:36:20,560
Speaker 3: All right, more with Savage Rich Barris in a second. Man,

678
00:36:20,880 --> 00:36:22,719
Speaker 3: he's the best in the business. That's why we have

679
00:36:22,880 --> 00:36:25,640
Speaker 3: him on. You should definitely support him in any way,

680
00:36:25,800 --> 00:36:29,040
Speaker 3: like on, support him on locals, follow him on Rumble.

681
00:36:29,960 --> 00:36:32,319
Speaker 3: He deserves it. He's the best in the business now.

682
00:36:32,640 --> 00:36:35,719
Speaker 3: And I mean it's definitely during what was, by the way,

683
00:36:36,440 --> 00:36:40,840
Speaker 3: twenty twenty four was an extraordinarily difficult cycle to pull

684
00:36:41,000 --> 00:36:43,480
Speaker 3: and he was the most accurate. And I just think

685
00:36:43,520 --> 00:36:47,439
Speaker 3: that's awesome. Okay, I'm getting all sorts of flags from

686
00:36:47,560 --> 00:36:53,799
Speaker 3: Aunt Cindy here saying wes So, first of all, a

687
00:36:53,840 --> 00:36:57,360
Speaker 3: bunch of thanks to everyone who dropping Rumble Rant's tips

688
00:36:57,520 --> 00:37:02,280
Speaker 3: in the live chat. Thank you. Okay, back with Savage

689
00:37:02,320 --> 00:37:05,200
Speaker 3: Rich Barris, director of Big Data, Pole, host of Inside

690
00:37:05,239 --> 00:37:09,000
Speaker 3: the Numbers, and Rich wes a is asking what's the

691
00:37:09,080 --> 00:37:12,520
Speaker 3: scoop on Brandon Finnegan Decision Desk headquarters in the House

692
00:37:12,560 --> 00:37:18,279
Speaker 3: of Representatives, I think, and then Ultramaga Hardcore says he

693
00:37:18,360 --> 00:37:20,840
Speaker 3: wants to watch Savage rich do the Trump dance for

694
00:37:20,880 --> 00:37:25,840
Speaker 3: this big celebration. Congratulations Savage Rich An outlaw Dogs says

695
00:37:26,000 --> 00:37:29,120
Speaker 3: Trump danced by the best two guys in MAGA mandatory

696
00:37:29,160 --> 00:37:33,360
Speaker 3: from this you're already doing it and then bumping mcgroin

697
00:37:33,440 --> 00:37:36,120
Speaker 3: says contribution for the Seawan and Rich do the Trump

698
00:37:36,239 --> 00:37:46,120
Speaker 3: dance fun Yeah, get it. I feel like I feel dirty,

699
00:37:46,280 --> 00:37:49,040
Speaker 3: I don't like I don't like dancing for money this

700
00:37:49,160 --> 00:37:51,960
Speaker 3: this field. Oh, and Chezbel says Trumpy dance, it's the

701
00:37:52,000 --> 00:37:53,120
Speaker 3: top favorite.

702
00:37:52,680 --> 00:37:56,439
Speaker 2: Guys bite the top lit m get it.

703
00:37:57,280 --> 00:38:03,400
Speaker 3: China China vrus Yes, I'm very excited for him to

704
00:38:03,400 --> 00:38:06,360
Speaker 3: stay China when he gets back in the OBALA.

705
00:38:05,760 --> 00:38:09,040
Speaker 2: For one, I for one, am very excited that he

706
00:38:09,120 --> 00:38:12,040
Speaker 2: picked Kellogg for the envoy to Ukraine.

707
00:38:12,040 --> 00:38:13,319
Speaker 3: Are you you're excited about that?

708
00:38:13,400 --> 00:38:16,319
Speaker 2: Oh? My god, Let's end this stupid war.

709
00:38:16,480 --> 00:38:19,959
Speaker 3: Myron Myron also says Trump dance celebration dance, yep, yep,

710
00:38:20,040 --> 00:38:21,840
Speaker 3: thank you Myron for the rumbrant tip.

711
00:38:23,200 --> 00:38:25,239
Speaker 2: I just don't like the idea of Sean. I'm sure

712
00:38:25,280 --> 00:38:27,640
Speaker 2: you don't either. I mean as especially as I get older,

713
00:38:28,120 --> 00:38:30,719
Speaker 2: I just hate war more and more. I see absolutely

714
00:38:30,719 --> 00:38:33,600
Speaker 2: no point to bleed an entire generation dry in a

715
00:38:33,719 --> 00:38:36,440
Speaker 2: nation over a war that you cannot win an award.

716
00:38:36,480 --> 00:38:39,680
Speaker 2: That is a lie. Yeah right. And General Kellogg does

717
00:38:39,719 --> 00:38:44,279
Speaker 2: not agree that NATO should be accepting Ukraine. That is

718
00:38:44,560 --> 00:38:48,160
Speaker 2: a direct violation of the Brussels agreement that we made

719
00:38:48,239 --> 00:38:51,399
Speaker 2: years ago. If we do not hold our word, then

720
00:38:51,480 --> 00:38:55,680
Speaker 2: people won't. It's so important in diplomacy and state craft

721
00:38:55,800 --> 00:38:58,680
Speaker 2: for people who you know, don't know. I got bored

722
00:38:58,680 --> 00:39:01,839
Speaker 2: and decided to study international relations too, and it's so

723
00:39:02,040 --> 00:39:06,080
Speaker 2: important that they trust you, you know, to keep the

724
00:39:06,120 --> 00:39:10,320
Speaker 2: status quo after a leader changes hands, or multiple leaders

725
00:39:10,400 --> 00:39:13,160
Speaker 2: change hands. That's why it was so damning for US

726
00:39:13,160 --> 00:39:18,680
Speaker 2: when Hillary Clinton abandoned George Bush's promise to Momargadafi. Momargadafi

727
00:39:18,800 --> 00:39:22,279
Speaker 2: gave up his weapons programs for in exchange for humanitarian

728
00:39:22,320 --> 00:39:25,000
Speaker 2: aid and stability for his economy and his country, and

729
00:39:25,080 --> 00:39:27,400
Speaker 2: they didn't like him. Actually, it's not even what happened.

730
00:39:27,440 --> 00:39:30,320
Speaker 2: She just wanted a foreign policy jewel in our crown

731
00:39:30,440 --> 00:39:33,600
Speaker 2: so she could run for president and she got rid.

732
00:39:33,800 --> 00:39:37,400
Speaker 2: She backstabbed Momargadafi. I don't care if he's a bad

733
00:39:37,440 --> 00:39:39,600
Speaker 2: man or not. Let me let you all in on

734
00:39:39,600 --> 00:39:41,920
Speaker 2: a little secret for the six year olds out there.

735
00:39:42,080 --> 00:39:47,080
Speaker 2: They're all bad men. Grow up. Putin's a bad man,

736
00:39:47,280 --> 00:39:48,799
Speaker 2: We're all bad.

737
00:39:49,040 --> 00:39:54,360
Speaker 3: A couple things that bothered me with the Unit Party

738
00:39:54,440 --> 00:39:58,200
Speaker 3: foreign policy mindset, the idea that we'll talk specifically about

739
00:39:58,280 --> 00:40:01,120
Speaker 3: Ukraine and I say, this is who's been front Torn's

740
00:40:01,200 --> 00:40:03,960
Speaker 3: enemy for sixteen months, and how badly that sucks. It's

741
00:40:04,000 --> 00:40:08,279
Speaker 3: really really bad. It's just absolutely effing terrible. But the

742
00:40:08,400 --> 00:40:11,680
Speaker 3: idea that our leaders, both in the Democrat and Republican

743
00:40:11,760 --> 00:40:13,560
Speaker 3: side of the I will say, well, hey, look, if

744
00:40:13,600 --> 00:40:15,719
Speaker 3: we can weaken Russia to the point where we can

745
00:40:15,719 --> 00:40:17,880
Speaker 3: push for a regime change, get rid of Putin, use

746
00:40:18,000 --> 00:40:20,879
Speaker 3: Ukraine's people to do it. Hey, that's win win win

747
00:40:20,960 --> 00:40:24,319
Speaker 3: for the United States. But the problem is it requires

748
00:40:24,360 --> 00:40:27,839
Speaker 3: the death of tens of thousands of Ukrainians, most of

749
00:40:27,840 --> 00:40:31,960
Speaker 3: whom are poor farm boys. Seriously, they're poor kids without

750
00:40:31,960 --> 00:40:35,680
Speaker 3: government status. They're not from an elite class structure. They're

751
00:40:35,800 --> 00:40:40,680
Speaker 3: thrown into the meat grinder, maybe by the way, maybe

752
00:40:40,800 --> 00:40:44,279
Speaker 3: to weaken Russia's military, but we all knew that from

753
00:40:44,320 --> 00:40:45,719
Speaker 3: the very beginning that that was going to be a

754
00:40:45,719 --> 00:40:50,279
Speaker 3: fallacy because Russia has far more people than Ukraine, and

755
00:40:50,719 --> 00:40:53,720
Speaker 3: sometimes in a war of attrition, especially like a conventional

756
00:40:53,719 --> 00:40:56,640
Speaker 3: war between Ukraine and Russia, you know, attrition happens. And

757
00:40:56,719 --> 00:41:00,000
Speaker 3: now Ukraine is completely out of men to fight this war,

758
00:41:00,400 --> 00:41:03,040
Speaker 3: which is why the UK and France now are sending

759
00:41:03,040 --> 00:41:06,040
Speaker 3: their advisor, their military advisors and troops potentially within the

760
00:41:06,120 --> 00:41:09,000
Speaker 3: next two weeks and what is a very significant escalation.

761
00:41:09,560 --> 00:41:12,920
Speaker 3: And then the reason though, in the broader context of

762
00:41:13,000 --> 00:41:16,640
Speaker 3: why this really scares me, is the left is getting

763
00:41:16,680 --> 00:41:18,839
Speaker 3: their ass kicked all over the world. They're getting their

764
00:41:18,840 --> 00:41:21,600
Speaker 3: ass kicked in in the Nordics, They're getting their ass

765
00:41:21,680 --> 00:41:26,000
Speaker 3: kicked in the Netherlands, They're getting ass kicked in Belgium, Germany, Romania.

766
00:41:26,080 --> 00:41:28,560
Speaker 3: And he saw the election in Romania where they elected

767
00:41:28,600 --> 00:41:34,280
Speaker 3: like a far like a right populist guy. France, Portugal, Slovakia, Ancestria,

768
00:41:34,360 --> 00:41:37,560
Speaker 3: they're all trending hard right and what does that mean?

769
00:41:37,960 --> 00:41:41,680
Speaker 3: And you know, in the context of this great left reset,

770
00:41:42,120 --> 00:41:46,120
Speaker 3: say it might happen, but Italy, Spain completely dismantled the

771
00:41:46,120 --> 00:41:48,360
Speaker 3: whole great reset that the Left has been building for

772
00:41:48,400 --> 00:41:49,560
Speaker 3: the last fifty.

773
00:41:49,360 --> 00:41:51,640
Speaker 2: Freaking years the end of history.

774
00:41:51,920 --> 00:41:54,319
Speaker 3: And Brian Dean Wright talks about this all the time.

775
00:41:54,400 --> 00:41:55,840
Speaker 3: He's so smart in this stuff.

776
00:41:55,840 --> 00:41:59,600
Speaker 2: He's interview with Brian, He's the one, He's.

777
00:41:59,480 --> 00:42:01,200
Speaker 3: The one that got smart on this. So all the

778
00:42:01,280 --> 00:42:04,200
Speaker 3: everything that I'm saying comes from him. But he is

779
00:42:05,520 --> 00:42:08,000
Speaker 3: the reason why this is so dangerous is these people

780
00:42:08,040 --> 00:42:12,480
Speaker 3: have been building to this great reset for forty years now.

781
00:42:12,719 --> 00:42:16,000
Speaker 3: They're not just gonna let it go, no, And that's

782
00:42:16,040 --> 00:42:20,960
Speaker 3: why this period between you know, Trump, Trump winning and

783
00:42:21,040 --> 00:42:23,400
Speaker 3: him getting an office is so dangerous, especially as it

784
00:42:23,400 --> 00:42:25,719
Speaker 3: pertains to escalation in Ukraine.

785
00:42:25,880 --> 00:42:28,279
Speaker 2: And even when he is in office, let's cut the

786
00:42:28,360 --> 00:42:35,880
Speaker 2: crap man. They the last president that challenge a system

787
00:42:36,440 --> 00:42:41,680
Speaker 2: that was building a global status quo ended up having

788
00:42:41,680 --> 00:42:45,280
Speaker 2: his brains splattered all over his wife's lap in broad

789
00:42:45,360 --> 00:42:48,880
Speaker 2: daylight in an open car. You know, I mean, like

790
00:42:51,160 --> 00:42:56,080
Speaker 2: this is something we're gonna have to eventually tackle because

791
00:42:56,719 --> 00:42:59,480
Speaker 2: you know, you say that, and it's like we've become

792
00:42:59,640 --> 00:43:03,040
Speaker 2: so desensitized to it. Mean, you remember the other day

793
00:43:03,400 --> 00:43:06,400
Speaker 2: when something had you know, from the Independent. They had

794
00:43:06,400 --> 00:43:09,840
Speaker 2: basically because they're for those who don't know Marlago's gotten

795
00:43:09,840 --> 00:43:12,839
Speaker 2: smart about this. Actually, like the press pool is not

796
00:43:12,880 --> 00:43:16,440
Speaker 2: treated equally exa, they have no stories, so they're like

797
00:43:16,480 --> 00:43:19,800
Speaker 2: chasing a story. They see some ambulances with JD's caravan,

798
00:43:20,120 --> 00:43:22,680
Speaker 2: and they pump out these tweets about, oh, so their

799
00:43:22,760 --> 00:43:26,120
Speaker 2: ambulance is leaving, and we're all just kind of like

800
00:43:26,160 --> 00:43:28,480
Speaker 2: so quickly in acceptance. Well, I guess they tried to

801
00:43:28,560 --> 00:43:32,000
Speaker 2: kill them again, did they actually succeed? Like what in

802
00:43:32,080 --> 00:43:34,600
Speaker 2: America in twenty twenty four? This is what we're thinking.

803
00:43:34,880 --> 00:43:37,240
Speaker 2: But it is so true. When you mess with their guns,

804
00:43:37,440 --> 00:43:39,799
Speaker 2: when you mess with their illicit drug running, when you

805
00:43:39,800 --> 00:43:42,839
Speaker 2: mess with their illicit wargames, you know, like you are

806
00:43:42,920 --> 00:43:45,799
Speaker 2: in danger and this guy is in danger. And I'm

807
00:43:45,840 --> 00:43:49,480
Speaker 2: telling people this not because I'm trying to be hyperbolic

808
00:43:49,480 --> 00:43:52,400
Speaker 2: and trying to get clicks. This is the reality of

809
00:43:52,560 --> 00:43:55,880
Speaker 2: this situation. And by the way, Americans know it, you know,

810
00:43:55,920 --> 00:43:58,319
Speaker 2: And somebody had said before too, you know, do you,

811
00:43:58,400 --> 00:44:00,120
Speaker 2: oh Rich, how could you say that about you know,

812
00:44:00,200 --> 00:44:03,000
Speaker 2: Kamala Harris, like you think when I'm polling Americans, they're

813
00:44:03,040 --> 00:44:07,000
Speaker 2: not talking about being worried that the government's gonna kill

814
00:44:07,040 --> 00:44:10,560
Speaker 2: Donald Trump, and you don't think they're talking about things

815
00:44:10,640 --> 00:44:13,120
Speaker 2: like I don't want I don't care about a woman

816
00:44:13,200 --> 00:44:16,680
Speaker 2: being president. I just don't want this slut being president.

817
00:44:16,760 --> 00:44:19,120
Speaker 2: Like this is what Americans said, is that Laura is

818
00:44:19,200 --> 00:44:21,560
Speaker 2: Laura is Laura to taking a break? Was Laura?

819
00:44:21,880 --> 00:44:22,719
Speaker 3: She just came in.

820
00:44:22,800 --> 00:44:26,640
Speaker 2: I thought she was baking a pie. But yeah, she's

821
00:44:26,680 --> 00:44:29,120
Speaker 2: a super Thanksgiving But you see.

822
00:44:28,920 --> 00:44:31,759
Speaker 3: What I'm saying, like an, Actually, I'm busy out of

823
00:44:31,760 --> 00:44:34,080
Speaker 3: her day to come drop an s bomb on on

824
00:44:34,200 --> 00:44:35,160
Speaker 3: Kamala Harris.

825
00:44:35,239 --> 00:44:37,919
Speaker 2: But it's true. She knows what I'm talking. She knows

826
00:44:37,960 --> 00:44:40,480
Speaker 2: what we're talking. Oh my god, she does know what

827
00:44:40,520 --> 00:44:44,319
Speaker 2: I'm talking about, though, she does, She's right, Yeah, she's

828
00:44:44,400 --> 00:44:47,440
Speaker 2: read the transcripts, she's listened in like she does. I

829
00:44:47,560 --> 00:44:50,120
Speaker 2: always show her these interviews like, look, you know, you

830
00:44:50,200 --> 00:44:52,440
Speaker 2: got to hear this one. You gotta hear that one. Uh,

831
00:44:52,480 --> 00:44:56,600
Speaker 2: it was a lot. It was constant, Sean, I mean,

832
00:44:56,640 --> 00:45:00,400
Speaker 2: it was a constant thing, you know, even some you know,

833
00:45:00,480 --> 00:45:04,319
Speaker 2: independent women. Obviously, I would argue that probably heard it

834
00:45:04,320 --> 00:45:06,640
Speaker 2: from women more than men, because men were more afraid

835
00:45:06,680 --> 00:45:09,840
Speaker 2: to like outwardly say something like that, whereas women were not.

836
00:45:10,320 --> 00:45:13,359
Speaker 2: Women were like you know this isn't what that's not.

837
00:45:13,760 --> 00:45:16,960
Speaker 2: She is not the embodiment of female rights. She is

838
00:45:17,000 --> 00:45:20,160
Speaker 2: not the embodiment of equal rights to me, and so

839
00:45:20,320 --> 00:45:23,560
Speaker 2: like I'm just honestly parroting things that we've heard a

840
00:45:23,640 --> 00:45:28,200
Speaker 2: million times, right, and in any event, she would have been, however,

841
00:45:28,640 --> 00:45:33,239
Speaker 2: the perfect stooge like candidate for these people. So in

842
00:45:33,360 --> 00:45:35,680
Speaker 2: now they're not getting what they wanted. They had an

843
00:45:35,680 --> 00:45:38,279
Speaker 2: empty shell of a man, as you always said, well,

844
00:45:38,320 --> 00:45:42,640
Speaker 2: I think you've said, an animated corpse, as Sean always says. Guys,

845
00:45:42,840 --> 00:45:45,759
Speaker 2: they had their animated corpse. They were about to get

846
00:45:45,760 --> 00:45:47,840
Speaker 2: their shell of a woman who can't make it a

847
00:45:47,920 --> 00:45:52,160
Speaker 2: hard decision for anything. Guys, I'm telling you people who

848
00:45:52,200 --> 00:45:56,120
Speaker 2: know Harris best, they will all tell you this, including Democrats.

849
00:45:56,400 --> 00:46:00,799
Speaker 2: The woman cannot make a critical decision in the heat

850
00:46:00,840 --> 00:46:03,319
Speaker 2: of the moment. It's like the worst possible kind of

851
00:46:03,440 --> 00:46:06,840
Speaker 2: person not just her, but the personality that she has

852
00:46:07,200 --> 00:46:09,759
Speaker 2: is the worst kind of a personality that you want

853
00:46:09,760 --> 00:46:12,520
Speaker 2: in a leader. To get that number three am phone

854
00:46:12,520 --> 00:46:15,240
Speaker 2: call question we used to ask all the time with presidents.

855
00:46:15,280 --> 00:46:18,040
Speaker 2: I guess it's not important anymore. We used to ask

856
00:46:18,080 --> 00:46:20,319
Speaker 2: it all the time. Will Joe Biden be able to

857
00:46:20,320 --> 00:46:23,840
Speaker 2: handle the three am phone call. No, because if he's awake,

858
00:46:23,880 --> 00:46:27,600
Speaker 2: it means Secret Services changing as depends, but he's probably

859
00:46:27,640 --> 00:46:30,759
Speaker 2: still sleeping, all right. Will Kamala Harris be able to

860
00:46:30,800 --> 00:46:34,160
Speaker 2: answer it? No, because Kamala Harris doesn't react well to

861
00:46:34,280 --> 00:46:37,920
Speaker 2: Christ's conversations. She usually either hits the bottle or like

862
00:46:38,000 --> 00:46:39,359
Speaker 2: throws a binder at someone's head.

863
00:46:39,440 --> 00:46:42,680
Speaker 3: True, she's true. I've heard this too. And I've also

864
00:46:42,719 --> 00:46:45,120
Speaker 3: heard she doesn't shouldn't care about the policy. She doesn't

865
00:46:45,120 --> 00:46:47,800
Speaker 3: even care about the office so much. She cares about

866
00:46:47,800 --> 00:46:50,640
Speaker 3: the stature that the office. Right, she just likes being that,

867
00:46:50,800 --> 00:46:53,319
Speaker 3: she likes being the celebrity. She doesn't really care about

868
00:46:53,320 --> 00:46:56,000
Speaker 3: being a leader. And by the way, I mean, you've

869
00:46:56,040 --> 00:46:59,560
Speaker 3: seen left wing rags like Politico right about this saying

870
00:46:59,560 --> 00:47:02,440
Speaker 3: that she's her staff thinks that she's like a monster

871
00:47:02,560 --> 00:47:05,400
Speaker 3: and with ninety yeah, he's awful.

872
00:47:05,520 --> 00:47:08,440
Speaker 2: And now they have the audacity. That very same paper

873
00:47:08,480 --> 00:47:10,719
Speaker 2: who gave us a look at the White House turn white,

874
00:47:11,040 --> 00:47:13,719
Speaker 2: the office of the Vice President turnover, that very same

875
00:47:13,719 --> 00:47:16,640
Speaker 2: paper just laughed last week singing her praises about what

876
00:47:16,680 --> 00:47:19,560
Speaker 2: a great candidate she was. She was an awful candidate.

877
00:47:19,600 --> 00:47:23,400
Speaker 2: She's horrible. Nobody wants to hear that stupid cackle. Nobody

878
00:47:23,440 --> 00:47:26,480
Speaker 2: wants to hear her talk in eighty different accents depending

879
00:47:26,480 --> 00:47:29,200
Speaker 2: on where she is, all Right, I mean that that

880
00:47:29,239 --> 00:47:32,560
Speaker 2: comedian what's her name was on X she's so good

881
00:47:32,640 --> 00:47:35,839
Speaker 2: the impersonation of Yeah, he's so good at it. Not

882
00:47:35,920 --> 00:47:40,480
Speaker 2: only can she impersonate Kamala Harris, well, she can impersonate

883
00:47:40,520 --> 00:47:43,359
Speaker 2: how Kamala Harris is always trying to impersonate people. Well,

884
00:47:43,600 --> 00:47:48,600
Speaker 2: it's just a multiple levels of you know, hilarious because

885
00:47:48,640 --> 00:47:53,040
Speaker 2: the best jokes and the best you know, comedic impersonations

886
00:47:53,360 --> 00:47:56,200
Speaker 2: are always based in truth, you know, like they are,

887
00:47:56,560 --> 00:47:58,600
Speaker 2: and that's what makes us laugh at them, like, oh

888
00:47:58,640 --> 00:48:01,720
Speaker 2: my god, that's so true, you know, And that's Kamala Harris.

889
00:48:01,840 --> 00:48:05,319
Speaker 2: And I'm telling you they're gonna be upset that they

890
00:48:05,320 --> 00:48:11,719
Speaker 2: didn't get this airhead who has no interest whatsoever in

891
00:48:12,239 --> 00:48:13,920
Speaker 2: you know what you like you just said the you

892
00:48:13,960 --> 00:48:16,480
Speaker 2: know what it is, it's the job, guys. She has

893
00:48:16,600 --> 00:48:19,040
Speaker 2: no interest in the job. And I got to tell you,

894
00:48:19,840 --> 00:48:21,719
Speaker 2: going back to the polling a little bit on this

895
00:48:21,800 --> 00:48:24,920
Speaker 2: to answer some of this, This is why she never

896
00:48:25,000 --> 00:48:28,640
Speaker 2: let because she never hit the presidential bar. She never

897
00:48:28,800 --> 00:48:31,839
Speaker 2: met the presidential bar. It was a very simple thing.

898
00:48:32,120 --> 00:48:34,120
Speaker 2: James Carvill's right, what are you gonna do? There are

899
00:48:34,160 --> 00:48:37,360
Speaker 2: two things she needed to do. One was convinced Americans

900
00:48:37,400 --> 00:48:40,279
Speaker 2: that she could do the job. And number two, which

901
00:48:40,320 --> 00:48:43,480
Speaker 2: they weren't convinced because everyone knows what her background is.

902
00:48:43,520 --> 00:48:47,200
Speaker 2: Everyone knows that what I just said before is not false.

903
00:48:47,560 --> 00:48:51,319
Speaker 2: She did not raise she did not Claire mccaske, Well,

904
00:48:51,360 --> 00:48:53,720
Speaker 2: I'm crying because it's so hard to beat a da

905
00:48:53,920 --> 00:48:56,040
Speaker 2: you know, it's hard to win an election like that.

906
00:48:56,280 --> 00:48:58,880
Speaker 2: Well not when you're banging the mayor who's going to

907
00:48:58,960 --> 00:49:01,480
Speaker 2: make sure that you're you know, the incumbent gets screwed

908
00:49:01,480 --> 00:49:05,520
Speaker 2: out of office. Literally, she screwed the incumbent out of office.

909
00:49:05,840 --> 00:49:09,280
Speaker 2: And that is how, that is how Kamala Arras started

910
00:49:09,320 --> 00:49:13,160
Speaker 2: her political career. And they would have loved somebody like this,

911
00:49:13,280 --> 00:49:16,640
Speaker 2: they would have. Now they don't have it. So they've

912
00:49:16,640 --> 00:49:19,840
Speaker 2: failed to convince the American public of those two things.

913
00:49:20,080 --> 00:49:23,120
Speaker 2: So she never led. Now here we are again, and

914
00:49:23,200 --> 00:49:25,600
Speaker 2: what are they gonna do here? Sean between now and

915
00:49:25,719 --> 00:49:29,279
Speaker 2: January twenty first, and then even beyond January twenty first,

916
00:49:29,320 --> 00:49:31,640
Speaker 2: because look at his cabinet for those that were dooming

917
00:49:31,680 --> 00:49:34,360
Speaker 2: over his cabinet. You guys, are you like five or something?

918
00:49:34,560 --> 00:49:37,719
Speaker 2: Do you not remember twenty sixteen? Tom tillis all right,

919
00:49:37,840 --> 00:49:41,440
Speaker 2: like all these people, this is way different, way different.

920
00:49:41,520 --> 00:49:44,920
Speaker 2: John Ratcliffe for the Director of CIA, John Ratcliffe was

921
00:49:44,960 --> 00:49:48,120
Speaker 2: the one person who wanted Trump to dump everything they

922
00:49:48,160 --> 00:49:50,960
Speaker 2: had on China before the election.

923
00:49:52,680 --> 00:49:55,359
Speaker 3: And unfortunately he's also a very good good man.

924
00:49:55,480 --> 00:49:58,960
Speaker 2: What a good dude. He was a good dude, and

925
00:49:59,080 --> 00:50:03,319
Speaker 2: he's a he is a hardball player, all right, Like

926
00:50:03,440 --> 00:50:06,480
Speaker 2: he was not And I guess I will say it,

927
00:50:06,520 --> 00:50:09,120
Speaker 2: but you know, Jared Kushner kind of like always told

928
00:50:09,120 --> 00:50:11,480
Speaker 2: the president don't do anything crazy on the way out,

929
00:50:11,560 --> 00:50:13,720
Speaker 2: or don't do anything crazy to win the election, because

930
00:50:13,719 --> 00:50:15,439
Speaker 2: that's when they'll come after you, like they came after

931
00:50:15,480 --> 00:50:17,400
Speaker 2: my father kind of thing. You know, just kind of

932
00:50:17,480 --> 00:50:19,880
Speaker 2: let it go. And that's how that's the currency in

933
00:50:19,920 --> 00:50:22,200
Speaker 2: this in this town and in this business. And you

934
00:50:22,280 --> 00:50:23,640
Speaker 2: just kind of let it go and you don't go

935
00:50:23,719 --> 00:50:26,319
Speaker 2: bold like that. That was the wrong move. And John

936
00:50:26,400 --> 00:50:30,280
Speaker 2: Ratcliffe was asked the Director of National Intelligence knew things

937
00:50:30,320 --> 00:50:32,760
Speaker 2: about the dealings with the Bidens long before the country

938
00:50:32,840 --> 00:50:36,440
Speaker 2: knew them, long before with China, Romania, Ukraine, and he

939
00:50:36,520 --> 00:50:40,160
Speaker 2: wanted Trump to dump it all, dump it all. And

940
00:50:40,880 --> 00:50:42,560
Speaker 2: I don't know why I didn't you listened to his

941
00:50:42,640 --> 00:50:45,719
Speaker 2: son in law unfortunately. Well, it's a different Trump. It's

942
00:50:45,719 --> 00:50:48,200
Speaker 2: my point though, this is a different Trump in case

943
00:50:48,239 --> 00:50:49,080
Speaker 2: nobody's noticed.

944
00:50:49,800 --> 00:50:49,920
Speaker 6: Uh.

945
00:50:50,040 --> 00:50:55,680
Speaker 3: Yeah, And his transition so far has been super popular.

946
00:50:55,960 --> 00:50:58,759
Speaker 3: Yah too, by the way, Yeah, very popular. His favorables

947
00:50:58,760 --> 00:50:59,719
Speaker 3: are through the roof.

948
00:50:59,719 --> 00:51:02,319
Speaker 2: And they're probably higher. We're gonna pull again soon. We're

949
00:51:02,360 --> 00:51:05,200
Speaker 2: returning after the holiday. We're probably gonna start on the weekend, Sean.

950
00:51:05,280 --> 00:51:07,879
Speaker 2: Because you have Yugov and all these other polls who

951
00:51:07,880 --> 00:51:11,320
Speaker 2: didn't pull the election correctly, they're the ones right now

952
00:51:11,560 --> 00:51:14,879
Speaker 2: are the only say in where Trump's favorables are where

953
00:51:14,880 --> 00:51:18,080
Speaker 2: the approval of the transition is. To me, I don't

954
00:51:18,080 --> 00:51:20,719
Speaker 2: really care what they say. You couldn't pull the election correctly,

955
00:51:20,920 --> 00:51:23,359
Speaker 2: then we cannot listen to you on anything else. I

956
00:51:23,440 --> 00:51:27,120
Speaker 2: guarantee you that they will be I shouldn't say I

957
00:51:27,120 --> 00:51:30,839
Speaker 2: guarantee you, but I would not be surprised if Trump

958
00:51:30,920 --> 00:51:34,200
Speaker 2: can hit sixty percent and they'll never show it because

959
00:51:34,200 --> 00:51:37,040
Speaker 2: they're fundamentally flawed and how they conduct these surveys. But

960
00:51:37,800 --> 00:51:40,279
Speaker 2: I am not going to be surprised if, like those

961
00:51:40,320 --> 00:51:43,080
Speaker 2: of us who actually did well in this election, when

962
00:51:43,120 --> 00:51:45,359
Speaker 2: we do go out and we get his approval rating,

963
00:51:45,440 --> 00:51:47,720
Speaker 2: we get his favorability rating, and we get the approval

964
00:51:47,719 --> 00:51:50,440
Speaker 2: of the transition, that guy's closer to sixty percent.

965
00:51:50,520 --> 00:51:54,640
Speaker 3: Man, I agree, I agree. I mean his transition and

966
00:51:54,719 --> 00:51:59,360
Speaker 3: his appointments are popular as well, so total opposite of

967
00:51:59,360 --> 00:52:01,720
Speaker 3: what you're hearing, a total opposite. I was just gonna

968
00:52:01,719 --> 00:52:03,960
Speaker 3: say that, like you actually you hear from the media

969
00:52:04,040 --> 00:52:06,840
Speaker 3: like these people are like if you believe them, they're

970
00:52:07,480 --> 00:52:11,799
Speaker 3: wildly unpopular, unqualified outside of government, no experience, but the

971
00:52:11,800 --> 00:52:15,520
Speaker 3: American people buying large approve of them. Yep. Media has

972
00:52:15,719 --> 00:52:18,880
Speaker 3: never I mean they are done. I mean MSNBC and

973
00:52:19,000 --> 00:52:23,040
Speaker 3: CNN have lost significant shares of a critical eighteen to

974
00:52:23,120 --> 00:52:26,759
Speaker 3: thirty five demo. I mean ratings have just fallen off

975
00:52:26,840 --> 00:52:29,120
Speaker 3: a cliff. MSNBC is about to go up for sale.

976
00:52:29,480 --> 00:52:32,600
Speaker 3: CNN is talking about laying off almost all of their talent,

977
00:52:32,760 --> 00:52:35,800
Speaker 3: which is I mean, well, look at what Jake Tapper makes.

978
00:52:35,840 --> 00:52:37,799
Speaker 2: It's disgusting. Did you see that.

979
00:52:38,200 --> 00:52:40,680
Speaker 7: It's disgusting for a guy who can't even crack a

980
00:52:40,719 --> 00:52:45,839
Speaker 7: million viewers I got more viewers on election night combined

981
00:52:45,960 --> 00:52:50,879
Speaker 7: between YouTube between YouTube rumble locals'll.

982
00:52:50,320 --> 00:52:52,560
Speaker 2: Get her all of it. I got more views combined

983
00:52:52,560 --> 00:52:54,920
Speaker 2: than Jake Tapper show gets on a nightly basis.

984
00:52:55,239 --> 00:52:58,520
Speaker 3: It is. It's it's great. I mean yeah, and we

985
00:52:58,600 --> 00:53:01,560
Speaker 3: have smaller type show. I mean, like when you consider

986
00:53:01,640 --> 00:53:05,320
Speaker 3: people like Bongino who are pulling like three hundred thousand

987
00:53:05,400 --> 00:53:08,400
Speaker 3: people a stream, live viewers a stream. I mean like

988
00:53:08,719 --> 00:53:13,000
Speaker 3: these people CNN, they are they're they're polishing the brass

989
00:53:13,000 --> 00:53:15,560
Speaker 3: on the Titanic. My friend, nobody believes him anymore.

990
00:53:16,120 --> 00:53:19,439
Speaker 2: The Zuckerberg's at mar A Lago apparently I just heard.

991
00:53:20,040 --> 00:53:23,880
Speaker 2: Oh well that is interesting, that is Evan, It is interesting.

992
00:53:24,160 --> 00:53:27,480
Speaker 2: Seven million dollars a year folks for Jake Tapper, but

993
00:53:27,600 --> 00:53:30,120
Speaker 2: he can't crack six hundred and seventy thousand viewers in

994
00:53:30,160 --> 00:53:34,800
Speaker 2: his show. I absolutely kid you not. I will text

995
00:53:34,840 --> 00:53:37,759
Speaker 2: it to you. Actually, Sean, it's it's really something else.

996
00:53:37,880 --> 00:53:40,319
Speaker 2: I mean, or just anyone can go to X and

997
00:53:40,360 --> 00:53:42,640
Speaker 2: go to Tom Bevans Twitter feed and you'll see it

998
00:53:42,640 --> 00:53:45,920
Speaker 2: from real clap politics is that it's unbelievable. Like I

999
00:53:46,000 --> 00:53:49,440
Speaker 2: got half of that on YouTube blow you know, like

1000
00:53:49,800 --> 00:53:53,440
Speaker 2: the Electrin they have, and that really says everything. Elon

1001
00:53:53,600 --> 00:53:57,960
Speaker 2: Musk should buy MSNBC. He should keep the acronym but

1002
00:53:58,040 --> 00:54:05,440
Speaker 2: rename it Uhga. Let's see MAGA Showcase News broadcast, right

1003
00:54:05,600 --> 00:54:07,919
Speaker 2: or right, we could call it that, and he should

1004
00:54:07,960 --> 00:54:11,560
Speaker 2: give Tucker the eight pm slot and Tucker could get

1005
00:54:11,560 --> 00:54:15,400
Speaker 2: the a PM flagship anchor hour. I think, like frankly,

1006
00:54:15,480 --> 00:54:17,080
Speaker 2: you and I should take the seven pm.

1007
00:54:17,320 --> 00:54:20,080
Speaker 3: Right, That'd be pretty That'd be pretty damn amazing.

1008
00:54:20,200 --> 00:54:22,120
Speaker 2: I think we should do that. I think Elon should

1009
00:54:22,120 --> 00:54:25,640
Speaker 2: definitely give us that that slot, and I guarantee you

1010
00:54:25,640 --> 00:54:27,919
Speaker 2: that the ratings will shoot to the moon. I get

1011
00:54:28,280 --> 00:54:30,799
Speaker 2: to the moon, to the moon.

1012
00:54:31,000 --> 00:54:34,200
Speaker 3: I agree, I agree, it would be amazing, it would

1013
00:54:34,200 --> 00:54:36,839
Speaker 3: be okay, So I don't want to keep you. We've

1014
00:54:36,840 --> 00:54:41,200
Speaker 3: already in an hour, so okay, yes, so tell us

1015
00:54:41,719 --> 00:54:45,879
Speaker 3: all what the Barest family is doing tomorrow for Thanksgiving?

1016
00:54:45,920 --> 00:54:48,719
Speaker 3: And how are you celebrating this? You know, number one

1017
00:54:48,719 --> 00:54:49,760
Speaker 3: polster of the cycle.

1018
00:54:50,520 --> 00:54:54,719
Speaker 2: Hey, Laura, can you hear me? I wish she heard me?

1019
00:54:54,960 --> 00:55:00,000
Speaker 2: Uh yeah, come here. So she's a machine, this one.

1020
00:55:00,360 --> 00:55:04,160
Speaker 2: I just want to say this, like live, I get

1021
00:55:04,280 --> 00:55:07,239
Speaker 2: the best and I'm biased, and I'm sure you're biased to,

1022
00:55:07,360 --> 00:55:11,839
Speaker 2: but I get the best Thanksgiving meal. I mean too

1023
00:55:12,320 --> 00:55:15,319
Speaker 2: possibly ask for you know. Oh, by the way, you're

1024
00:55:15,360 --> 00:55:18,840
Speaker 2: making homemade pumpkin pie. Melanie's making homemade apple pie. I

1025
00:55:18,920 --> 00:55:23,520
Speaker 2: kid you not. We should have combined this puppy. We

1026
00:55:23,719 --> 00:55:27,160
Speaker 2: get a slice of each because we don't have so

1027
00:55:27,239 --> 00:55:30,560
Speaker 2: many people coming this year, you know, a couple of

1028
00:55:30,880 --> 00:55:34,239
Speaker 2: fan We didn't get a huge turkey, which is great because,

1029
00:55:34,280 --> 00:55:37,480
Speaker 2: of course, the smaller the turkey, the tastier and tandier

1030
00:55:37,520 --> 00:55:40,680
Speaker 2: it is. But she does it all. She does the yams.

1031
00:55:40,800 --> 00:55:45,280
Speaker 2: I don't she'll it doesn't matter. She'll make it amazing.

1032
00:55:45,440 --> 00:55:48,520
Speaker 2: It's true. It's true, so it doesn't matter. She'll make it.

1033
00:55:48,520 --> 00:55:52,000
Speaker 2: It's delicious. Her turkey is just incredible. But she'll do

1034
00:55:52,040 --> 00:55:54,560
Speaker 2: the yams. She'll do the castle role because it's tradition

1035
00:55:54,640 --> 00:56:01,160
Speaker 2: and my son loves it. Stuffing corn Broccolian cheese, homemade

1036
00:56:01,160 --> 00:56:05,920
Speaker 2: mashed potatoes, corn bread. She'll bake corn bread, collar greens

1037
00:56:07,560 --> 00:56:10,759
Speaker 2: the dessert. I do stuff mushrooms. We're Italian. We throw

1038
00:56:10,800 --> 00:56:14,000
Speaker 2: the stuff mushrooms in there. Uh you know, I don't know.

1039
00:56:14,040 --> 00:56:15,640
Speaker 2: I already said that. I don't know what else I

1040
00:56:15,760 --> 00:56:18,520
Speaker 2: may be missing. I did say, mashed potato, homemade massed potatoes.

1041
00:56:18,719 --> 00:56:21,480
Speaker 2: M I don't know, but she'll do something crazy and

1042
00:56:21,520 --> 00:56:25,200
Speaker 2: big my son and I ooh, yeah, I can't say that.

1043
00:56:26,000 --> 00:56:29,400
Speaker 2: She makes it with the homemade massed potatoes. She makes

1044
00:56:29,440 --> 00:56:35,680
Speaker 2: with MOUs capone cheese and it's so good. And what else?

1045
00:56:36,360 --> 00:56:39,640
Speaker 2: My son and I will take back the remnants of

1046
00:56:39,760 --> 00:56:43,759
Speaker 2: fall decorations while she's doing all this tomorrow, and she'll

1047
00:56:43,800 --> 00:56:44,439
Speaker 2: be up all night.

1048
00:56:44,400 --> 00:56:47,359
Speaker 3: When the Christmas tree go up. So for me, tomorrow, yeah,

1049
00:56:47,440 --> 00:56:48,280
Speaker 3: goes up tomorrow.

1050
00:56:48,400 --> 00:56:48,880
Speaker 2: Yeah.

1051
00:56:49,080 --> 00:56:51,040
Speaker 3: Man, you realize this is a big deal for me

1052
00:56:51,080 --> 00:56:53,080
Speaker 3: with there's a big debate every year, Garland on the

1053
00:56:53,120 --> 00:56:55,040
Speaker 3: tree or no garland. Of course, I'm we did this

1054
00:56:55,120 --> 00:56:58,880
Speaker 3: last year. You and I remember, Yeah, I remember, I remember.

1055
00:56:59,080 --> 00:57:03,760
Speaker 3: I do remember, and I I don't like taking Christmas

1056
00:57:03,800 --> 00:57:07,440
Speaker 3: decorations down, and I know that it's always a debate,

1057
00:57:07,760 --> 00:57:09,839
Speaker 3: you know, garland no Garlands. But also when we take

1058
00:57:09,880 --> 00:57:12,800
Speaker 3: the they've got it. They've got to slowly, like Melanie

1059
00:57:12,840 --> 00:57:16,880
Speaker 3: and the kids will slowly take the decorations down over time,

1060
00:57:17,400 --> 00:57:19,640
Speaker 3: so I don't notice all at once. It's kind of

1061
00:57:19,720 --> 00:57:21,840
Speaker 3: a very strange push, isn't it sad?

1062
00:57:21,920 --> 00:57:24,919
Speaker 2: Though it's the stadest day when you have to take

1063
00:57:24,920 --> 00:57:28,960
Speaker 2: down the Christmas decorations I do outside. Takes me forever

1064
00:57:29,120 --> 00:57:31,959
Speaker 2: to get up days. But I can take it all

1065
00:57:32,000 --> 00:57:33,880
Speaker 2: down in a single day. Can I get it all

1066
00:57:33,920 --> 00:57:36,080
Speaker 2: back in the storage unit in a single day? No.

1067
00:57:36,200 --> 00:57:37,840
Speaker 2: Most of it will sit in the well, some will

1068
00:57:37,840 --> 00:57:39,920
Speaker 2: sit in the garage. A lot will sit in the garage.

1069
00:57:40,080 --> 00:57:43,840
Speaker 2: But I remember Gorka in April calling me like, hey,

1070
00:57:43,880 --> 00:57:45,360
Speaker 2: can you come on the show, And I'm like, in

1071
00:57:45,440 --> 00:57:47,360
Speaker 2: the truck and that I rented to get the stuff

1072
00:57:47,400 --> 00:57:49,480
Speaker 2: back and forth again, you know, just so I can

1073
00:57:49,480 --> 00:57:51,320
Speaker 2: do it all in one big shot. And he's like,

1074
00:57:51,480 --> 00:57:55,040
Speaker 2: is that a Christmas tree? And I'm like, when I

1075
00:57:55,120 --> 00:57:59,280
Speaker 2: tell you, we go nuts, we go nuts. Every room

1076
00:57:59,360 --> 00:58:04,160
Speaker 2: is decorated, right, every single room is decoration except for

1077
00:58:04,160 --> 00:58:06,960
Speaker 2: my Yeah, except for this one. Which that's not really

1078
00:58:07,000 --> 00:58:10,520
Speaker 2: true though, because there's it's not decked out, but there's

1079
00:58:10,560 --> 00:58:14,360
Speaker 2: like little knick knacks. You know. You remember those old

1080
00:58:14,560 --> 00:58:17,160
Speaker 2: porcelain Christmas trees that have the lights where you kind

1081
00:58:17,160 --> 00:58:19,640
Speaker 2: of like they're not like yeah, of course, yeah. My

1082
00:58:19,760 --> 00:58:22,680
Speaker 2: dad has an antique had sent me a couple of

1083
00:58:22,800 --> 00:58:25,600
Speaker 2: years ago. It's not the recreation of them. It's it.

1084
00:58:26,160 --> 00:58:31,320
Speaker 2: So I put that in my office, and yeah, little

1085
00:58:31,400 --> 00:58:35,280
Speaker 2: lighted houses. I mean, it's ridiculous. It honestly is ridiculous.

1086
00:58:35,640 --> 00:58:37,920
Speaker 2: But I love it. We love it. And you know,

1087
00:58:38,040 --> 00:58:40,760
Speaker 2: my little ones like it's a Christmas house, it's the

1088
00:58:40,840 --> 00:58:43,040
Speaker 2: Christmas house. We make them feel like it's a north

1089
00:58:43,080 --> 00:58:46,040
Speaker 2: pole up in here, man, you know, so it's worth it.

1090
00:58:46,160 --> 00:58:48,440
Speaker 2: I'm just yeah, it's just I don't know about you.

1091
00:58:48,600 --> 00:58:51,800
Speaker 2: I'm feeling older brother. And a couple of years ago,

1092
00:58:51,880 --> 00:58:55,600
Speaker 2: I took first a backwards step in the attic and

1093
00:58:55,640 --> 00:58:57,720
Speaker 2: went right out of the ladd right down the ladder

1094
00:58:57,840 --> 00:59:00,280
Speaker 2: and blodding on it. I had a black and blew

1095
00:59:00,320 --> 00:59:02,920
Speaker 2: on my thigh like this big and I went outside

1096
00:59:02,960 --> 00:59:05,720
Speaker 2: to go do more lights. And what happened. I slipped

1097
00:59:05,760 --> 00:59:07,200
Speaker 2: on the ladder and I rolled down.

1098
00:59:07,360 --> 00:59:09,680
Speaker 3: We're like Chevy Chasin national imprint, dude.

1099
00:59:09,800 --> 00:59:14,520
Speaker 2: I was like holiday hanging from the gutters, like horrible. Uh. Now,

1100
00:59:14,600 --> 00:59:18,160
Speaker 2: my neighbor and I just rent a boom. That's what

1101
00:59:18,200 --> 00:59:20,320
Speaker 2: we do together. We rent a boom. He's like right

1102
00:59:20,360 --> 00:59:21,960
Speaker 2: next to me, my neighbor right next to me, and

1103
00:59:22,000 --> 00:59:24,640
Speaker 2: we get this big old boom on wheels and we're

1104
00:59:27,320 --> 00:59:29,280
Speaker 2: so cool in the bucket because you can't get to

1105
00:59:29,320 --> 00:59:31,560
Speaker 2: the peaks of the house. It's insane. I'm killing myself.

1106
00:59:31,600 --> 00:59:33,520
Speaker 2: I'm getting too old for this. So get the boom,

1107
00:59:33,720 --> 00:59:35,840
Speaker 2: make on life easy, and we're gonna start all of

1108
00:59:35,920 --> 00:59:38,240
Speaker 2: that this week. That's what we're doing. And we always

1109
00:59:38,240 --> 00:59:42,480
Speaker 2: watched the parade. We did even though you know, we

1110
00:59:42,480 --> 00:59:45,400
Speaker 2: were getting worried for a second. Like if Harris was elected, folks,

1111
00:59:45,720 --> 00:59:49,240
Speaker 2: you probably would have saw spectacles at the Thanksgiving Christmas

1112
00:59:49,320 --> 00:59:52,360
Speaker 2: Day parades like Macy's, like we saw during the Olympics,

1113
00:59:52,640 --> 00:59:55,960
Speaker 2: like guys, like gay guys with their balls out, like dancing,

1114
00:59:57,320 --> 01:00:04,880
Speaker 2: come on, crazy, thanks Happy Thanksgiving everyone, Happy Thanksgiving. Everyone's

1115
01:00:04,960 --> 01:00:08,560
Speaker 2: just take a moment, think about that, and now give

1116
01:00:08,600 --> 01:00:10,680
Speaker 2: it to the Lord. Give it to the Lord.

1117
01:00:11,080 --> 01:00:15,959
Speaker 3: Thank you, Jesus, Thank you, baby, Jesus. Thank you six

1118
01:00:16,000 --> 01:00:17,640
Speaker 3: point seven pound baby Jesus.

1119
01:00:17,680 --> 01:00:18,200
Speaker 2: Amen.

1120
01:00:20,760 --> 01:00:23,680
Speaker 3: All right, so you have a happy Thanksgiving. My friend,

1121
01:00:24,040 --> 01:00:27,400
Speaker 3: you to congratulations on being the best polster in the business.

1122
01:00:27,400 --> 01:00:29,160
Speaker 3: I mean, I knew that, but now now the whole

1123
01:00:29,160 --> 01:00:32,960
Speaker 3: world does so appreciate with you and your family. See you, guys. Laura,

1124
01:00:33,040 --> 01:00:34,280
Speaker 3: hang in there, hang tough.

1125
01:00:34,600 --> 01:00:37,280
Speaker 2: She's gonna hang tough, he said. She just walked out,

1126
01:00:37,320 --> 01:00:39,640
Speaker 2: probably ran you will She's all.

1127
01:00:39,640 --> 01:00:41,520
Speaker 3: Right, see us, savage rich, have a good holiday.

1128
01:00:41,480 --> 01:00:43,520
Speaker 2: Way back to you and yours brother. I'll see you soon.

1129
01:00:43,640 --> 01:00:45,160
Speaker 2: Happy Thanksgiving, everybody.

1130
01:00:45,280 --> 01:00:50,080
Speaker 3: Happy Thanksgiving. Okay, that's Savage Rich Paris folks, don't forget

1131
01:00:50,080 --> 01:00:53,280
Speaker 3: to smash that like button on your way out. I

1132
01:00:53,320 --> 01:00:56,880
Speaker 3: want you all to have a great Thanksgiving with your family.

1133
01:00:56,960 --> 01:01:02,120
Speaker 3: A very very very happy Thanksgiving to you all, and really,

1134
01:01:02,360 --> 01:01:04,960
Speaker 3: from the bottom of my heart, thank you all for

1135
01:01:05,000 --> 01:01:08,480
Speaker 3: making this show what it is. This show would be

1136
01:01:08,560 --> 01:01:12,360
Speaker 3: nothing without all of you. And I'm so grateful that

1137
01:01:12,800 --> 01:01:16,880
Speaker 3: you give me some a little bit of your time

1138
01:01:17,120 --> 01:01:20,840
Speaker 3: each and every day five o'clock pm. I know it's

1139
01:01:20,840 --> 01:01:23,760
Speaker 3: not the easiest time in the world for folks, but

1140
01:01:24,080 --> 01:01:27,560
Speaker 3: you all, steadfast og members of the battle Crew mcgroin nation,

1141
01:01:28,800 --> 01:01:32,960
Speaker 3: folks who join us every day. Thank you, and Winnie's World,

1142
01:01:33,040 --> 01:01:35,320
Speaker 3: thank you said, thank you for spending election night with

1143
01:01:35,320 --> 01:01:39,280
Speaker 3: Wendy Bell and thousands of us well, thank you, Thank

1144
01:01:39,320 --> 01:01:42,480
Speaker 3: you Winnie for the rumble rant tip, and thank you

1145
01:01:42,520 --> 01:01:45,600
Speaker 3: all for being with me making this show what it is.

1146
01:01:46,080 --> 01:01:49,120
Speaker 3: As always, God bless you all, and God bless this

1147
01:01:49,240 --> 01:01:52,120
Speaker 3: amazing country that we call home. Take care good night,

1148
01:01:52,240 --> 01:01:56,800
Speaker 3: and have a very very happy Thanksgiving tomorrow and I'll

1149
01:01:56,800 --> 01:01:59,320
Speaker 3: see you on Friday for right night. Take care