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Speaker 1: Warning you're ape about to enter the arena and join

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Speaker 1: the Battle to.

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Speaker 2: Save America with your host Sean Parnell.

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Speaker 3: Good evening, America, Welcome to battle Ground Live. This is

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Speaker 3: the show where we kick ass, we take names, we

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

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Speaker 3: never surrender. From sea to Shining Sea and everybody in between.

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Speaker 3: Welcome patriots on this very, very very savage Wednesday. As

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Speaker 3: this show continues to grow, and it is growing because

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Speaker 3: of you, I love getting the emails and messages on

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Speaker 3: social media from people about Savage Rich coming on the show,

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Speaker 3: or hey, I look forward to Savage Rich being on.

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Speaker 3: It's exciting, right. We're building something here and it's so cool.

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Speaker 3: Make sure you smash that like button here at the

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Speaker 3: top of the hour, that little green thumb beneath the video.

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Speaker 3: Smash it. We made the leaderboard yesterday with the great

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Speaker 3: Denesh Desuza. Got lots of great feedback about that interview.

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Speaker 3: You know, his movie Vindicating Trump, and he's got a

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Speaker 3: companion piece, a book of the same name. It's phenomenal

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Speaker 3: and the movie is really funny, so you should definitely

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Speaker 3: take a chance, take an opportunity to see it and

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Speaker 3: all of Danesh's stuff is really good. I'm sure many

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Speaker 3: of you all have seen two thousand Mules. He's got

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Speaker 3: a litany of other things. But that interview with the

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Speaker 3: nsh blew up on Rumble yesterday and so we hit

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Speaker 3: the leader board yesterday. So we're very grateful to you

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Speaker 3: all for watching that and sharing it and smashing that

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Speaker 3: like button. Also, don't forget to check out Official Sean

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Speaker 3: Parnell dot com, your one stop shop for all things

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Speaker 3: America First News Battle Crew. We touch on things on

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Speaker 3: this website that most of the corporate media avoids, like

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Speaker 3: the plague. So you know, check out the website, share

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Speaker 3: the articles. This is doing this stuff for you all,

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Speaker 3: trying to cultivate and get information out to you in

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Speaker 3: a streamlined as way as possible. So don't forget about

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Speaker 3: Official Sean Parnell dot com. Remember what I told you

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Speaker 3: yesterday about Kamala Harris's inexplicable answer, inexplicable answer to the

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Speaker 3: question about would you do anything differently than Joe Biden.

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Speaker 3: Now keep in mind her entire campaign message or brand,

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Speaker 3: everything A New Way Forward is supposed to be entirely

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Speaker 3: separate from Biden. I mean, because of course, he's getting

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Speaker 3: his ass kicked in the polls fifteen ways from Sunday. Right. So,

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Speaker 3: Kamala Harris yesterday on the show, I said, because Kamala

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Speaker 3: Harris went on the view and said she can't really

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Speaker 3: think of anything differently. At the end of that segment

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Speaker 3: that we played, I said, Donald Trump should just slap

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Speaker 3: on there. Right at the end. I'm Donald Trump, and

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Speaker 3: I approved this message. And sure enough, that's exactly that's

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Speaker 3: exactly what happened.

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Speaker 4: Well, if anything, would you have done something differently than

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Speaker 4: President Biden during the past four years. There is not

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Speaker 4: a thing that comes to mind in terms of and

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Speaker 4: I've been a part of most of the decisions that

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Speaker 4: have had impact.

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Speaker 3: I'm Donald J. Trump, and I approved this message. So

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Speaker 3: he did exactly that in less than twenty four hours. Folks.

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Speaker 3: There is something that is happening here. There is something

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Speaker 3: that is happening that Listen. The polls, I think are

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Speaker 3: just at the beginning of seeing this stuff. We've got

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Speaker 3: Savage Rich Barris on deck. I want to get his

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Speaker 3: reaction to the the state of the race where we are,

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Speaker 3: his take on what he thinks is happening. Okay, folks,

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Speaker 3: let's take a quick break. October seventh was the one

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Speaker 3: year mark, or the worst massacre of the Jewish people

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Speaker 3: since the Holocaust. Twelve hundred Israelis were murdered and more

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Speaker 3: than two hundred and fifty taken hostage. Yet, the war

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Speaker 3: in Israel rages on today, with Iran firing a massive

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Speaker 3: barrage of nearly two hundred ballistic missiles earlier this month.

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Speaker 3: Israel and her people are facing attacks from enemies on

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Speaker 3: all sides. The International Fellowship of Christians and Jews is

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Speaker 3: on the ground providing food, shelter, and safety to those

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Speaker 3: in need during this crisis. Since the war started, thousands

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Speaker 3: of reservists every day Israeli citizens have left their families

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Speaker 3: to serve their country. Soldiers have been injured, and their

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Speaker 3: families need your supp Your gift of one hundred and

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Speaker 3: fifty dollars helps the Fellowship provide food and other necessities

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Speaker 3: to these families to help them survive. Thanks to a

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Speaker 3: generous Fellowship supporter, your gift will be matched, doubling an impact.

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Speaker 3: Join us in letting those families know that listeners like

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Speaker 3: you stand with Israel. Call to make your one hundred

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Speaker 3: and fifty dollars gift right now at eight eight eight

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Speaker 3: four eight eight I f CJ. That's eight eight eight

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Speaker 3: four eight eight four three two five. Or go online

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Speaker 3: to support IFCJ dot org to give that's one word,

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Speaker 3: support IFCJ dot org. Okay, without further ado, we've got

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Speaker 3: my good friend. You see Brock in the queue and

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Speaker 3: the and they're in the in the waiting room. He's

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Speaker 3: cheering with his stogy. He might be a little bit drunk.

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Speaker 3: But we've got Savage rich Barris, director of Big Data

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Speaker 3: poll and host of Inside the Numbers, and listen to this.

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Speaker 3: It's Savage rich Berry. He's a birthday boy to Oh.

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Speaker 5: No, are we gonna sing?

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Speaker 3: Come on, I Am not gonna sing, but maybe brock

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Speaker 3: Star will sing. Tell you he'd he wanted to serenade

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Speaker 3: you though, So I don't know if that's like a

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Speaker 3: happy birthday thing where he wants to do something separate,

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Speaker 3: little happy birthday, mister President.

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Speaker 5: Mister President day, mister bears. Listen. I took the you

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Speaker 5: know well, I say I took the day off. I

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Speaker 5: didn't do the show, and I just was kind of

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Speaker 5: sitting with my laptop and vegimate Laura and doing some

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Speaker 5: and doing polling because I'm like, we're in like three

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Speaker 5: different states right now. National we have a private thing

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Speaker 5: we're doing with a client, which I get to share,

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Speaker 5: by the way, which is cool. I couldn't do that

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Speaker 5: with Nevada. That's stunk. But I could just tell people

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Speaker 5: what it is. I really don't care. But it's not

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Speaker 5: When you're a Polster and somebody hires you to do

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Speaker 5: the work, it's not your product anymore. So you do

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Speaker 5: the work, you give it to them, and they say

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Speaker 5: yes or they say no. But I do think that

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Speaker 5: Pennsylvania is the key here, Sean, And.

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Speaker 3: So my question is something changing. It feels like something's changing.

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Speaker 3: You saw Quinnipiac come up, come out today, which, by

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Speaker 3: the way, for people that don't like Quinnipiac very liberally previous. Yes, man,

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Speaker 3: they're always like Biden plus affinity infinity and then you've

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Speaker 3: got you've got Trump. Quinnipiac has Trump up to in Wisconsin,

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Speaker 3: Trump up to in Michigan or for mich and then

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Speaker 3: you I'm like down to a pa I mean, but

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Speaker 3: but still that's a huge deal.

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Speaker 5: First of all, if that were to happen, he's still

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Speaker 5: gonna win because of the status of the race, which

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Speaker 5: is the following the Sun Belt States. You know, there

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Speaker 5: were people who let me back it up, there were

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Speaker 5: people who were saying, after the debate that and then

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Speaker 5: you know this, like media show this, like they're running

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Speaker 5: an experiment here, Sean, and it's basically a pulp. My

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Speaker 5: job is to see whether or not the public catches

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Speaker 5: on before the propaganda from the experiment wears off.

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Speaker 3: That's my job.

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Speaker 5: And they did not wear off in time in twenty twenty,

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Speaker 5: even though I obviously believed that they completely changed and

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Speaker 5: altered our election system, our electoral system in order to

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Speaker 5: get by and elected. They removed Donald Trump from office,

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Speaker 5: That's what they did. But this time it's there's something

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Speaker 5: different going on. And there were people who were saying,

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Speaker 5: after that push, after that experiment, in the big propaganda

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Speaker 5: push and the and the debate, and by the time

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Speaker 5: we get to like mid September early October, the Sun

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Speaker 5: Belt States are going to be out of her reach

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Speaker 5: again like they were with Biden. And it was really

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Speaker 5: going to come down to the Great Lake State and

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Speaker 5: the industrial rest belts, you know, the Midwest, mid Atlantic

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Speaker 5: and the rost belt part of the mid atlant which

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Speaker 5: pa Is and I really think that we're here now

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Speaker 5: and the public poles are starting to catch up to it.

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Speaker 5: And there were good private polls obviously that are more

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Speaker 5: robust and they're they're just larger sample sizes. They stratify

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Speaker 5: because the media doesn't have the budget to do it.

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Speaker 5: Private public polsters don't have the budget to do it.

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Speaker 5: So you know, when you're talking about Tammy Baldwin's polling

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Speaker 5: and you're talking about Kamala Harris's.

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Speaker 3: Yeah, talk about that because Tammy Baldwin was.

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Speaker 5: Twenty five forty grand a pop at least a right Baldwin.

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Speaker 3: Tammy Baldwin just came out the other day. This is strange,

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Speaker 3: Rich like, because you mentioned her, Tammy Baldwin running for

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Speaker 3: Senate and.

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Speaker 5: Was conraising the alarm show. Yesitch the alarm because they're like,

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Speaker 5: why are people leaking? Why would a liberal leak this

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Speaker 5: to the Leads journal? Yes, because the internal Listen you guys,

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Speaker 5: if you're Democrats and you're listening, you know, I was

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Speaker 5: listening to Cowper in the other day and he said

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Speaker 5: it best if you want to take your ass over

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Speaker 5: to MSNBC and get smoke blone up your ass and

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Speaker 5: have people feed you copium all day you knock yourselves out.

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Speaker 5: But I'm telling you right now that she's on a

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Speaker 5: trajectory to lose this election and lose it comfortably, all right.

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Speaker 5: It's not just that she's down in Key States. It's

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Speaker 5: that she is trending down. So my people know on

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Speaker 5: locals when I tell them, and this is what I'm

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Speaker 5: telling them right now, when I tell them we need

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Speaker 5: to stay in the field for another two days in

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Speaker 5: Pennsylvania and Michigan, they know why. They know what I mean.

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Speaker 5: It's not just to make sure we get representative samples.

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Speaker 5: It's because I am seeing something happening and I don't

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Speaker 5: want to catch the beginning and missed the full, you know,

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Speaker 5: or at least if we don't catch, because maybe it's

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Speaker 5: not going to be done, the full trend is going

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Speaker 5: to be done for a week or two weeks. Right,

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Speaker 5: maybe it's not there. But I need a couple of

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Speaker 5: more days to make sure that I fully grasp what

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Speaker 5: I'm seeing. Because it's possible that we're just resettling at

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Speaker 5: a Trump advantage, a slight Trump advantage, maybe, you know,

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Speaker 5: because I mean we're still talking about Margins here. It's

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Speaker 5: possible we're settling there or this experiment has failed and

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Speaker 5: Kamala Harris is on her way to bottoming out where

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Speaker 5: Joe Biden was at his worst moment, maybe even worse.

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Speaker 5: And I say that because if that is the case,

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Speaker 5: it will be worse than Joe Biden, because folks, remember

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Speaker 5: what I tell you Scranton Joe versus Canadian. Kamala, Okay,

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Speaker 5: it really is that simple. They that sixty minute interview,

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Speaker 5: the answer that you just played before. My people know

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Speaker 5: that interviews and debates don't make or break stuff. But

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Speaker 5: when they pop a balloon, you know what I'm saying,

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Speaker 5: when they poppa balloon, like, oh my god, holy shit,

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Speaker 5: this is fake. Yes, you're lying to us again, Rich

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Speaker 5: and that's what's happening here.

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Speaker 3: Yes, So Kamala, So to your point about that, like like, no,

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Speaker 3: there's nothing different between me and Joe Biden. I'm when

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Speaker 3: I saw that, I was like, holy shit. That just's

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Speaker 3: hed her entire campaign, the more messaging of her campaign,

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Speaker 3: and then she comes out on cold bacon too.

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Speaker 5: Her publish appearances. She's in case you haven't noticed, she's

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Speaker 5: choking figuratively and literally when she tries to speak. It

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Speaker 5: is a choke moment because The experiment was, can we

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Speaker 5: remove an incumbent sitting president who won a primary like her?

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Speaker 5: Lover hate Joe Biden. He's tested, he's been around, He's

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Speaker 5: failed a lot of tests, but he's Venity's tested. He

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Speaker 5: was on the national stage. He knows what he's doing there.

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Speaker 5: She doesn't. Everything about her is fake. She's completely failing

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Speaker 5: because yeah, ahead.

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Speaker 3: No listen, like so listen, So to your point, she's

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Speaker 3: never been tested on the national stage, Biden. I mean, look,

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Speaker 3: the vast majority of people. Oh it's old lunchbucket, Joe

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Speaker 3: scrant and Joe, he's a moderate, work across the aisle.

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Speaker 3: That's his reputation. That's not how he's comported himself in

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Speaker 3: the White House. But so Kamala makes that mistake. Trump

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Speaker 3: cuts an ad for Trump cuts cuts an ad right,

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Speaker 3: Donald Trump, and I approved this message. And then Kamala

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Speaker 3: goes on Colbert later that night gets asked the same question,

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Speaker 3: and no one on her campaign said, maybe you should

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Speaker 3: have a different, different, different answer. Listen, listen to this

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Speaker 3: sound by listen to how she answers this question.

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Speaker 6: Polling shows that a lot of people, especially independent voters,

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Speaker 6: really want this to be a change election. And that

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Speaker 6: they tend to break for you. In terms of thinking

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Speaker 6: about change, you you are a member of the president

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Speaker 6: administration under a Harris administration, what would the major changes

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Speaker 6: be and what would stay the same?

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Speaker 4: Sure, well, I mean I'm obviously not Joe Biden, and

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Speaker 4: so that would be one change. But also I think

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Speaker 4: it's important to say with you know, twenty eight days ago,

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Speaker 4: I'm not Donald Trump. And so when we think about

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Speaker 4: this signal eificance of what this next generation of leadership

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Speaker 4: looks like were I to be elected president, it is

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Speaker 4: about Frankly, I love the American people, and I believe

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Speaker 4: in our country. I love that it is our character

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Speaker 4: and nature to be an ambitious people. You know, we

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Speaker 4: have aspirations, we have dreams, we have incredible work ethic,

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Speaker 4: and I just believe that we can create and build

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Speaker 4: upon the success we've achieved in a way that we

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Speaker 4: continue to grow opportunity and in that way grow the

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Speaker 4: strength of our nation. So, for example, my economic policies,

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Speaker 4: I think of it and I have named it as

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Speaker 4: creating an opportunity economy. So it's about things like investing

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Speaker 4: in small.

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Speaker 5: I can't here we go again, Yeah, here we go?

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Speaker 5: I mean words salad, Kamala. And by the way, this

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Speaker 5: is what the voters are telling us, like, this is

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Speaker 5: what she is getting known for doing. She goes to

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Speaker 5: these long winded word salads. Nobody knows what these economic

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Speaker 5: opportunity zones are, like, nobody knows an opportunity economy, right,

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Speaker 5: nobody knows what the hell she means. And I got

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Speaker 5: to be honest with you. I'm telling you that some

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Speaker 5: of our advisors are idiots and inexperienced, and some of

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Speaker 5: them are not. But there are a lot of good

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Speaker 5: people who are trying to funnel down advice to the

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Speaker 5: Kamala campaign and they are not listening. They're not and

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Speaker 5: that's why you're seeing, you know, five alarm fires being

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Speaker 5: leaked to the Wall Street Journal. Hey, Trump is up

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Speaker 5: outside the margin of era in this in our polling

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Speaker 5: in the state. And I am going to have a

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Speaker 5: hard time winning the selection against rik Khovda if you

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Speaker 5: get crushed in my state like this. This is what

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Speaker 5: they're doing. And by the way, folks, this is very

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Speaker 5: concerning for the Kamala Hiris campaign. You look at the

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Speaker 5: polls in the Great Lake States, because yeah, you can

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Speaker 5: use the Quinnipiac Pennsylvania number for copium. But they know,

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Speaker 5: they're smart enough to know that this is what happens

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Speaker 5: in the Midwest sometimes, and those three trend together. They

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Speaker 5: have trended together every cycle for the last eight election cycles.

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Speaker 5: It was only nineteen eighty eight when Deucaucus took Wisconsin

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Speaker 5: that that you know that was not the case. And

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Speaker 5: it even keeps going even longer before Nixon Johnson. These

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Speaker 5: states vote together. And I'm telling you they know that

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Speaker 5: Wisconsin polls to the left normally of Michigan and Pennsylvania,

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Speaker 5: but votes to the right. So the fact that they

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Speaker 5: even got Wisconsin to the right of Pennsylvania is just

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Speaker 5: a huge problem. And by the way, Quinnipiac is overstating

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Speaker 5: and has been overstating Democratic support with seniors. Pennsylvania has

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Speaker 5: more seniors than the other two states, for those of

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Speaker 5: you who don't know out there, So if you're overpolling

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Speaker 5: liberal white seniors, that's how you get what Quinnipiac got.

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Speaker 5: And also I saw it clear as day when we

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Speaker 5: were doing our own polling. You need to make sure,

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Speaker 5: first of all, your super seniors are separate from your

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Speaker 5: sixty five to seventy four. That's number one and number two,

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Speaker 5: where are you getting them from? Where these people coming from?

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Speaker 5: Are your You know, if your seventy five plus is

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Speaker 5: doco and nowhere else because you're sample sized not big enough,

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Speaker 5: then you have a big, big problem, which is why again,

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Speaker 5: I mean it matters that these private polls looked differently

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Speaker 5: than public polls two weeks ago, because they're going to

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Speaker 5: catch that stuff before you know, a budgeted poll at

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Speaker 5: twelve point five K or fifteen K you know for

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Speaker 5: a media outlet or whatever it is, kicks off. I mean,

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Speaker 5: these are expensive polls. They're going to track every day,

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Speaker 5: they're stratifying, they're doing things that the media university don't

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Speaker 5: have the budget to do. So they saw it ahead

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Speaker 5: of time. And by the way, what we're what that is, Sean,

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Speaker 5: is a white working class number that is lower than

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Speaker 5: Joe Biden when Joe Biden was losing Michigan in our poll. Okay,

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Speaker 5: so I mean this is now October ninth, all right,

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Speaker 5: Remember I should know it's now on October ninth, and

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Speaker 5: by this time in recent cycles, anytime we had seen

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Speaker 5: in the past candidates Republican candidates look like they're going

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Speaker 5: to do better with the black or Hispanic vote, non

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Speaker 5: white vote in general, it fades away by the summer.

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Speaker 5: It begins to erode by the summer, and then as

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Speaker 5: we get to Labor Day and beyond, it's gone. It's

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Speaker 5: in the high single digits, the low teens. We're in Pennsylvania,

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Speaker 5: for instance. I was giving people this on Twitter yesterday.

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Speaker 5: It's even worse for Harris in Michigan, which is fifteen

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Speaker 5: percent black by population. So it's a bad, bad situation

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Speaker 5: for her to be in. Trump is pulling more than

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Speaker 5: two to ten black males off the rip without even

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Speaker 5: pushing the eight percent that remain undecided. And when we

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Speaker 5: push the remaining eight percent that are undecided, he's winning

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Speaker 5: them too, So that puts him in the twenties with

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Speaker 5: black men, folks. Women. You may think, well, you know,

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Speaker 5: it's Kamala Harris and she's going to do some significantly

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Speaker 5: better with women and then she will with men. And

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Speaker 5: I hear people talking about this and not true. Her

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Speaker 5: numbers are worse than Joe Biden with black women. They're

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Speaker 5: worse than Hillary Clinton with black women. In Pennsylvania, for instance,

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Speaker 5: Trump is copping eleven percent of the black female vote

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Speaker 5: without leaning, and then with leaning she's winning them, but

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Speaker 5: she's not winning them by so much that she can

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Speaker 5: stop him from hitting like twelve. I mean, if that

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Speaker 5: happens and he's not in a low single mid to

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Speaker 5: high I mean single digits with black women and he

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Speaker 5: ends up doing as well as that we all now,

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Speaker 5: if he ends up doing as well with you know

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Speaker 5: what we're all seeing with black men, then I mean,

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Speaker 5: fifteen percent of the black vote is not out of

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Speaker 5: the realm of possibility, and it could even be higher.

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Speaker 5: Because last time when he did better with black voters

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Speaker 5: than he did in sixteen, the jump we all saw

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Speaker 5: the polling with men, the jump came from black women.

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Speaker 5: He more than doubled his support with black women from

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Speaker 5: sixteen to twenty. And we all missed that. We all

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Speaker 5: missed it.

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Speaker 3: Yeah, that happens.

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Speaker 4: You know.

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Speaker 5: My point is he could hit like twenty percent. I mean,

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Speaker 5: this is we have the point now, I mean, we

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Speaker 5: all have to. It's October ninth. We've got to start

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Speaker 5: accepting the reality that this man is going to do

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Speaker 5: much better with non white voters than a Republican has

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Speaker 5: done in a long time. And by the way, Hispanic women,

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Speaker 5: Hispanic men haven't budged at all. She's not. I mean,

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Speaker 5: she hasn't recouped any of that. Not in arpoling. In

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Speaker 5: among black women, she got some black women back black

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Speaker 5: men didn't budge. She got some black women still historically

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Speaker 5: performing poorly for a Democratic candidate. And with Hispanics, they're

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Speaker 5: about to kiss their typical dominance in modern cycles among

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Speaker 5: Hispanics goodbye. And for people like what roach, he's gonna,

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Speaker 5: you know, better, with the world with the college educated

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Speaker 5: white vote he needs for every point he slips with

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Speaker 5: white voters, he needs to make up six points with

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Speaker 5: black voters. Number one right now, he's more than doing that.

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Speaker 5: Number two. That doesn't count Hispanics at all.

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Speaker 3: So I think Kamala knows that she is in trouble,

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Speaker 3: especially with men. Black, white, Latino doesn't matter, and and

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Speaker 3: and everything on her campaign is so contrived and so

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Speaker 3: fake and so inauthentic. And I think it's why you

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Speaker 3: see stuff like this, watch this rich.

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Speaker 6: One of the old saws is they just want somebody

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Speaker 6: they can have a beer with.

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Speaker 5: So would you like to have a beer with me?

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Speaker 6: So I can tell people what that's like. Okay, this

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Speaker 6: was now we asked ahead of time because I can't

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Speaker 6: just be given a drink to the vice president I had, says,

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Speaker 6: ask me, you asked for Miller Philo.

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Speaker 3: I'm just curious. Okay.

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Speaker 4: The last time I had beer was at a baseball

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Speaker 4: game with Dougs.

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Speaker 6: There you go, Oh, it's like the beautiful city of Milwaukee.

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Speaker 5: There you go, so rich everybody. She's not a beer drinker,

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Speaker 5: and I know she's awful. Come on. The truth is

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Speaker 5: they tried propping her up like this in twenty twenty,

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Speaker 5: and like the media bullshitted everybody for a month over

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Speaker 5: a month, as if she was going to be this

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Speaker 5: spectacular thing. She never made it to Iowa because she's

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Speaker 5: an awful candidate. She's an awful manager of people. I mean,

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Speaker 5: she wants to be the president of the United States,

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Speaker 5: and she's one of the worst managers and people public

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Speaker 5: life anyone has ever seen a long time. I mean,

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Speaker 5: this is like and then she goes out and does this.

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Speaker 5: If I was her campaign advisor or GC, I would

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Speaker 5: like eat a bottle of friggin. I would like eat

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Speaker 5: a bottle of Valume and call it a day.

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Speaker 7: Bro Like, oh my god, he's not helpful. There's no

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Speaker 7: helping her. There's no helping her. I'm done, I'm done,

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Speaker 7: I quit. She's the worst.

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Speaker 3: You should get into campaign consulting.

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Speaker 5: You know, that's exactly what my blood press needs.

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Speaker 3: Well, so, did you happen to see her new accent

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Speaker 3: that she unveiled on Colbert last night? Speaking apparently now

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Speaker 3: she's Jamaican?

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Speaker 4: How have you know empathy man? You know, for the

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Speaker 4: suffering of other people?

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Speaker 5: Have you no sense of purpose?

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Speaker 3: Or Scottish Jamaican? I don't know, but check this out, rich,

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Speaker 3: Here's here's a better, better, more appropriate rendition. Check check

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Speaker 3: this out.

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Speaker 4: You know, empathy man, suffering people because sense of purpose?

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Speaker 3: You guys who killed white boy hat chaw? I'm just sorry,

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Speaker 3: Like she unveils, where did that come from? Scottish Jamaican?

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Speaker 5: I don't know.

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Speaker 3: What is going on here? Find yourself? Is there like

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Speaker 3: a little alien inside her accidentally pressing wrong accent buttons? Like?

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Speaker 3: I mean, honestly, what the hell is going on with

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Speaker 3: this person?

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Speaker 5: She doesn't know who she is?

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Speaker 3: All right?

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Speaker 5: She's asked on sixty minutes, why did you change all

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Speaker 5: of these positions? She basically gives an answer that to

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Speaker 5: what she's trying to say is that I walked around

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Speaker 5: the country and I met so many people, and I

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Speaker 5: changed my views. I evolved my views as I took

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Speaker 5: the input from other people. But that's not how it

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Speaker 5: came out. And it came out like basically, I'm full

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Speaker 5: of shit and I listen to people and whatever it

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Speaker 5: is I think they want me to say, I'm gonna

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Speaker 5: say that's what she said. I mean, by the way,

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Speaker 5: you have to give what's his name from sixty minutes credit.

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Speaker 5: We always mocked the media when and they and listen, folks,

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Speaker 5: you can't hate these people enough. Theo's biggest scumbags on

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Speaker 5: the planet. But when they do a good job, it's

431
00:24:59,080 --> 00:25:01,760
Speaker 5: worth saying, you know, good that you did a good job.

432
00:25:01,840 --> 00:25:04,920
Speaker 5: Now that being said, they still let he still let

433
00:25:04,920 --> 00:25:09,080
Speaker 5: her and Waltz go on questions like you called yourself

434
00:25:09,119 --> 00:25:11,520
Speaker 5: a whatever he called himself, you know, And he's like,

435
00:25:11,600 --> 00:25:14,399
Speaker 5: and uh, you know, because you get dates wrong, and

436
00:25:14,640 --> 00:25:16,760
Speaker 5: you know you said you were in Tieneman Square and

437
00:25:17,280 --> 00:25:19,240
Speaker 5: should have been a follow up for that, because what

438
00:25:19,320 --> 00:25:22,960
Speaker 5: he he The problem is he was never in tim

439
00:25:23,000 --> 00:25:26,000
Speaker 5: And Square, not on that date, not any date. It's

440
00:25:26,080 --> 00:25:28,480
Speaker 5: not a matter of oh I got a date wrong

441
00:25:28,600 --> 00:25:30,439
Speaker 5: and that day I was in Hong Kong and the

442
00:25:30,480 --> 00:25:33,119
Speaker 5: next week I was in tim and square. That's not

443
00:25:33,200 --> 00:25:36,840
Speaker 5: what happened. And Rich he's a liar who is fabricating

444
00:25:37,119 --> 00:25:41,040
Speaker 5: more than a million things. Point God knows, we all

445
00:25:41,080 --> 00:25:43,480
Speaker 5: lost count and they should have followed up for But

446
00:25:44,080 --> 00:25:47,000
Speaker 5: I mean, God, Sean, could you imagine if they sat

447
00:25:47,080 --> 00:25:49,879
Speaker 5: down for a real interview any I mean, I.

448
00:25:50,000 --> 00:25:53,720
Speaker 3: Can't win Rich, And even so they complete like they

449
00:25:54,560 --> 00:25:56,919
Speaker 3: like sixty minutes. The Trump campaign has called on sixty

450
00:25:56,920 --> 00:26:00,959
Speaker 3: Minutes to release the entire script transcript here because the

451
00:26:01,000 --> 00:26:04,000
Speaker 3: original cut of that interview, what was originally released, was

452
00:26:04,119 --> 00:26:07,760
Speaker 3: vastly different than what they aired. Listen to the difference

453
00:26:07,800 --> 00:26:10,280
Speaker 3: in these two Listen to the difference in the editing here.

454
00:26:11,200 --> 00:26:15,520
Speaker 3: Its Prime Minister net and Ya who is not listening.

455
00:26:16,119 --> 00:26:21,240
Speaker 4: Well, Bill, the work that we have done has resulted

456
00:26:21,560 --> 00:26:26,960
Speaker 4: in a number of movements in that region by Israel

457
00:26:27,080 --> 00:26:32,760
Speaker 4: that were very much prompted by or a result of

458
00:26:33,240 --> 00:26:36,879
Speaker 4: many things, including our advocacy for what needs to happen

459
00:26:36,920 --> 00:26:37,399
Speaker 4: in the region.

460
00:26:37,440 --> 00:26:40,199
Speaker 3: But it seems that Prime Minister net and Yah who

461
00:26:40,320 --> 00:26:41,520
Speaker 3: is not listening.

462
00:26:41,840 --> 00:26:45,439
Speaker 4: We're not going to stop pursuing what is necessary for

463
00:26:45,480 --> 00:26:47,720
Speaker 4: the United States to be clear about where we stand

464
00:26:47,760 --> 00:26:52,280
Speaker 4: on the need for this war to end and a.

465
00:26:52,400 --> 00:26:55,639
Speaker 3: Fraud, that is a fraud perposed on the American people.

466
00:26:55,480 --> 00:26:58,400
Speaker 5: And their ladies and gentlemen. Is why you only got

467
00:26:58,920 --> 00:27:02,560
Speaker 5: a sixth of the interview that she conducted with Dana Donna,

468
00:27:02,640 --> 00:27:05,680
Speaker 5: Dana Daniel, Dona, whatever the hell her name is over

469
00:27:05,720 --> 00:27:09,320
Speaker 5: at cn IT because they need time to cut out

470
00:27:09,400 --> 00:27:14,680
Speaker 5: the nonsense, gibberish, and it's still gibberish. Word salad, that word.

471
00:27:14,720 --> 00:27:17,359
Speaker 3: Wasn't that exchange wasn't even real.

472
00:27:17,680 --> 00:27:20,679
Speaker 5: No, that's a fake, that's a deed. They have the

473
00:27:20,960 --> 00:27:25,399
Speaker 5: audacity to call anybody out for deep fakes or edited

474
00:27:25,440 --> 00:27:28,760
Speaker 5: clips or I mean memes, I mean memes. They take

475
00:27:28,800 --> 00:27:30,560
Speaker 5: the wrong way and try to pretend like there's some

476
00:27:30,680 --> 00:27:34,560
Speaker 5: kind of like deep fake attentt that you know, misinformation that,

477
00:27:34,760 --> 00:27:40,960
Speaker 5: my friends, that is a falsehood, a fabrication, a fraud,

478
00:27:41,200 --> 00:27:44,960
Speaker 5: like they are perpetrating a fraud on you. And this

479
00:27:45,119 --> 00:27:48,280
Speaker 5: is the thing again though, I'm telling you, what the

480
00:27:48,320 --> 00:27:51,439
Speaker 5: polling is saying is that people gave her a little

481
00:27:51,440 --> 00:27:55,800
Speaker 5: bit of a chance here and they they said, all right,

482
00:27:56,359 --> 00:27:58,960
Speaker 5: you know, I do want change. She obviously is the

483
00:27:58,960 --> 00:28:01,280
Speaker 5: one in power right now. I don't know who the

484
00:28:01,320 --> 00:28:03,639
Speaker 5: hell she is and what she stands for. Trump. I

485
00:28:03,760 --> 00:28:06,280
Speaker 5: know we could at least do the job, but it's

486
00:28:06,600 --> 00:28:09,159
Speaker 5: you know, it is somebody who was already president. So

487
00:28:09,280 --> 00:28:12,679
Speaker 5: he's not hitting that change bar like he did in sixteen,

488
00:28:13,160 --> 00:28:14,760
Speaker 5: you know, I mean it was very just very clear.

489
00:28:14,800 --> 00:28:17,280
Speaker 5: He's a political outsider and that's it. There is a

490
00:28:17,320 --> 00:28:21,760
Speaker 5: difference to it this year. Of course, he was an incumbent. However,

491
00:28:22,560 --> 00:28:26,840
Speaker 5: they are giving. They did give her the time to

492
00:28:26,960 --> 00:28:29,679
Speaker 5: make them feel safe with going with an alternative, and

493
00:28:29,720 --> 00:28:32,960
Speaker 5: she has failed to do that. I can't tell you.

494
00:28:33,040 --> 00:28:36,440
Speaker 5: After as soon as you played that first clip, immediately

495
00:28:36,800 --> 00:28:41,400
Speaker 5: I remembered this woman who was interviewed after the debate,

496
00:28:41,840 --> 00:28:44,560
Speaker 5: and the undecided voters were clearly just different people than

497
00:28:44,600 --> 00:28:46,880
Speaker 5: we all thought they were, and we needed time to

498
00:28:46,920 --> 00:28:50,640
Speaker 5: process them and listen to what they were saying. She's

499
00:28:51,160 --> 00:28:54,360
Speaker 5: Her first thing to me was, you know, I didn't

500
00:28:54,440 --> 00:28:58,240
Speaker 5: learn anything. I don't need to be taught. Criticisms about

501
00:28:58,240 --> 00:29:00,680
Speaker 5: Donald Trump. I know all the things I even personally

502
00:29:00,680 --> 00:29:02,720
Speaker 5: don't like about it. But he did the job. But

503
00:29:02,760 --> 00:29:06,680
Speaker 5: he did it well. What the hell is an opportunity economy?

504
00:29:09,520 --> 00:29:09,720
Speaker 6: Said?

505
00:29:09,800 --> 00:29:13,720
Speaker 5: By the way, she lived in Pennsylvania, this to this day,

506
00:29:13,880 --> 00:29:16,280
Speaker 5: she still is not That campaign has not answered it.

507
00:29:16,520 --> 00:29:21,000
Speaker 5: They now are running ads about health care about there. Listen,

508
00:29:21,120 --> 00:29:24,040
Speaker 5: I don't know what the hell they're there. Their message

509
00:29:24,080 --> 00:29:27,200
Speaker 5: is supposed to be, you know, democratic strategist you'll talk

510
00:29:27,240 --> 00:29:31,280
Speaker 5: to will say, well, it's it's it's the the change message,

511
00:29:31,320 --> 00:29:33,800
Speaker 5: you know, I mean, it's the the change thing, and

512
00:29:33,840 --> 00:29:38,480
Speaker 5: she's a younger candidate, and but it's not. But it's not.

513
00:29:39,160 --> 00:29:41,400
Speaker 5: That's the problem. Like maybe that's what you want it

514
00:29:41,480 --> 00:29:45,840
Speaker 5: to be, but the message that you're projecting is just incoherent.

515
00:29:46,200 --> 00:29:49,160
Speaker 5: Nobody knows what the hell it means. Nobody. She has

516
00:29:49,200 --> 00:29:53,160
Speaker 5: not met the presidential bar, and her message isn't even clear.

517
00:29:53,560 --> 00:29:56,280
Speaker 5: So let alone, you know, her hopes of being able

518
00:29:56,320 --> 00:29:58,760
Speaker 5: to do that, you know, arising as we were closer

519
00:29:58,800 --> 00:30:01,880
Speaker 5: to the election, that's not even happening. And the message

520
00:30:01,920 --> 00:30:05,560
Speaker 5: is so jumbled and gargled up, like there's no way

521
00:30:05,600 --> 00:30:08,160
Speaker 5: to know. And by the way, a part of her

522
00:30:08,160 --> 00:30:11,000
Speaker 5: message was flawed from the beginning because now we just

523
00:30:11,080 --> 00:30:13,800
Speaker 5: had that debate Advance in Waltz and they took one

524
00:30:13,840 --> 00:30:17,000
Speaker 5: look at Advance and said, oh my god, this guy

525
00:30:17,080 --> 00:30:21,000
Speaker 5: is like Generation X. What the hell in fact, the

526
00:30:21,040 --> 00:30:23,320
Speaker 5: only one with a young, fresh face in the race

527
00:30:23,760 --> 00:30:27,720
Speaker 5: is Donald Trump. Yes, so that is a big problem too.

528
00:30:29,440 --> 00:30:32,400
Speaker 5: And I mean, folks, look, I told people that was

529
00:30:32,440 --> 00:30:35,080
Speaker 5: gonna be, you know, the Bugs Bunny versus the Elmer

530
00:30:35,160 --> 00:30:39,160
Speaker 5: Fudd thing, matter of like. But it is generational. It

531
00:30:39,200 --> 00:30:42,520
Speaker 5: shows you, you know, the generational difference. Bugs was sharp,

532
00:30:42,920 --> 00:30:45,560
Speaker 5: he was younger, so much lighter on his feet, quick, right,

533
00:30:45,680 --> 00:30:49,440
Speaker 5: real witty, and former Fudd was an old stupid idiot,

534
00:30:49,560 --> 00:30:53,520
Speaker 5: you know, and constantly screwed up. You can't argue that

535
00:30:53,560 --> 00:30:55,960
Speaker 5: you're the change agent and the new of a new

536
00:30:56,080 --> 00:30:58,760
Speaker 5: generation if you're running a sixty year old woman and

537
00:30:58,800 --> 00:31:02,600
Speaker 5: like an eighty year old man like she's not dance

538
00:31:02,720 --> 00:31:05,120
Speaker 5: is the only one who is young and looks young

539
00:31:05,240 --> 00:31:10,320
Speaker 5: and sounds articulate. Bro, there are famous gay TikTokers doing

540
00:31:10,600 --> 00:31:13,360
Speaker 5: videos about now being in love with jd Vance. I mean,

541
00:31:15,760 --> 00:31:19,000
Speaker 5: whose message is getting through here? And whose message is not?

542
00:31:19,160 --> 00:31:19,760
Speaker 5: Have you seen it?

543
00:31:19,800 --> 00:31:22,000
Speaker 3: By the way, no, I don't want to play it

544
00:31:22,040 --> 00:31:22,480
Speaker 3: on the show.

545
00:31:22,760 --> 00:31:26,000
Speaker 5: It's geez, man, I didn't know the guy was famous

546
00:31:26,120 --> 00:31:27,680
Speaker 5: either look at his thing or he's like, you know,

547
00:31:27,840 --> 00:31:32,120
Speaker 5: social media famous. But my god, man, the guy's over here. Like,

548
00:31:32,160 --> 00:31:34,200
Speaker 5: I don't care who hates me. I'm in love with

549
00:31:34,240 --> 00:31:37,440
Speaker 5: this guy. I love him. If you look at those

550
00:31:37,480 --> 00:31:41,000
Speaker 5: blue eyes, you know, like they're all like, oh my god,

551
00:31:41,280 --> 00:31:43,719
Speaker 5: but what the hell take it? If you're JDA, you

552
00:31:43,760 --> 00:31:45,920
Speaker 5: take it because it means he was listening to you,

553
00:31:46,520 --> 00:31:49,360
Speaker 5: and you know, like you got his attention, and you

554
00:31:49,520 --> 00:31:51,720
Speaker 5: when you ask someone's attention, that's when you can deliver

555
00:31:51,760 --> 00:31:55,240
Speaker 5: the message. Nobody is paying attention to these two clowns

556
00:31:55,560 --> 00:31:58,400
Speaker 5: because they say the dumbest shit possible. All you're doing.

557
00:31:58,640 --> 00:32:02,160
Speaker 5: It's like all your focus is arrested and and now

558
00:32:02,520 --> 00:32:05,280
Speaker 5: and now you can't get past the stupidity of it,

559
00:32:05,600 --> 00:32:08,240
Speaker 5: you know, and it's you know what, I'm sub certainty

560
00:32:08,360 --> 00:32:11,400
Speaker 5: of it. It doesn't even make Yeah, that's what I mean. Like,

561
00:32:11,520 --> 00:32:14,120
Speaker 5: you know, so it doesn't make sense. I don't know

562
00:32:14,120 --> 00:32:17,120
Speaker 5: how you get a message through to human mind like that, Sean,

563
00:32:17,160 --> 00:32:20,760
Speaker 5: I just don't. I mean, I'm telling you at this point, uh,

564
00:32:20,880 --> 00:32:23,479
Speaker 5: Like I said, we're settling back to like a you know,

565
00:32:23,520 --> 00:32:26,080
Speaker 5: a Trump advantage that is like, you know, not huge,

566
00:32:26,160 --> 00:32:28,320
Speaker 5: but it's it's marginal. It's there, you can see it.

567
00:32:28,800 --> 00:32:33,400
Speaker 5: Or we're at the beginning of of a complete collapse

568
00:32:33,440 --> 00:32:35,680
Speaker 5: for this woman. I'm not kidding. I mean I think

569
00:32:35,720 --> 00:32:38,520
Speaker 5: that if you if your bubble's been popped, you know,

570
00:32:38,600 --> 00:32:41,120
Speaker 5: or whatever you want, whatever analogy you want to use, folks,

571
00:32:41,120 --> 00:32:43,719
Speaker 5: if that curtain's been pulled back, you know, and everyone

572
00:32:43,720 --> 00:32:46,880
Speaker 5: can see that Oz doesn't have magical powers, you know,

573
00:32:47,080 --> 00:32:49,280
Speaker 5: or the Emperor doesn't have any clothes? How many more

574
00:32:49,320 --> 00:32:51,360
Speaker 5: analogies you want me to find? You get what I'm saying.

575
00:32:51,960 --> 00:32:54,320
Speaker 5: People are onto it now. They're onto it, and the

576
00:32:54,400 --> 00:32:57,320
Speaker 5: question is how many and how fast? And that's it.

577
00:32:57,920 --> 00:32:59,800
Speaker 3: Yeah, stay right there. I got to ask you. I

578
00:32:59,800 --> 00:33:01,640
Speaker 3: want to talk about Trump when we come back, and

579
00:33:01,680 --> 00:33:04,800
Speaker 3: I want to talk about You're cool to stay for

580
00:33:04,920 --> 00:33:08,040
Speaker 3: one more segment? Well, yeah, absolutely, of course. I don't

581
00:33:08,040 --> 00:33:09,800
Speaker 3: want to interrupt birthday celebrations.

582
00:33:10,840 --> 00:33:13,800
Speaker 5: Planning on starting to go until six, your show will

583
00:33:13,880 --> 00:33:15,360
Speaker 5: be over. We're good, bro, We're all.

584
00:33:15,280 --> 00:33:16,520
Speaker 3: Right, all right. So I want to ask you about

585
00:33:16,520 --> 00:33:18,320
Speaker 3: Trump and what he needs to do here in the

586
00:33:18,360 --> 00:33:21,920
Speaker 3: home stretch. All right, So stay right there, Okay, back

587
00:33:21,960 --> 00:33:24,680
Speaker 3: with Savage Rich in a second. Oh look at this

588
00:33:24,840 --> 00:33:28,920
Speaker 3: a little flag from Ann Cindy oh Ford. Hey, thank

589
00:33:29,000 --> 00:33:32,600
Speaker 3: you for becoming a monthly supporter. We've got a lot

590
00:33:32,680 --> 00:33:35,640
Speaker 3: of very very exciting things that we're building out on Local.

591
00:33:35,760 --> 00:33:39,840
Speaker 3: Savage Rich has got a great locals presence over here

592
00:33:39,880 --> 00:33:42,440
Speaker 3: at Fort Parnell. We're trying to do the same thing,

593
00:33:42,560 --> 00:33:44,680
Speaker 3: and we're building out like what we believe to be

594
00:33:44,720 --> 00:33:48,280
Speaker 3: a robust platform on locals. So even if you can't subscribe,

595
00:33:48,600 --> 00:33:52,000
Speaker 3: which helps keep our show independent, Even if you can't

596
00:33:52,040 --> 00:33:54,120
Speaker 3: do that, even just having you over there as part

597
00:33:54,120 --> 00:33:56,520
Speaker 3: of the conversation is great with us too. So head

598
00:33:56,560 --> 00:33:58,560
Speaker 3: on over to my locals page. There's that little green

599
00:33:58,640 --> 00:34:00,960
Speaker 3: thumb that I'm always asking you to smash, which is

600
00:34:00,960 --> 00:34:04,600
Speaker 3: the rumble button, the like button here, the red button,

601
00:34:04,960 --> 00:34:08,280
Speaker 3: the red button that says join. That's for the Battleground

602
00:34:08,320 --> 00:34:10,719
Speaker 3: Live forum on Local. So go on over there and

603
00:34:10,760 --> 00:34:14,200
Speaker 3: subscribe or subscribe or follow us over there as well. Again,

604
00:34:14,280 --> 00:34:16,319
Speaker 3: don't forget to smash that like button, that little green

605
00:34:16,360 --> 00:34:20,280
Speaker 3: thumb beneath the video. Okay, we're back with Savage Rich Barris,

606
00:34:20,280 --> 00:34:23,480
Speaker 3: director of Big Data poll and host of Inside the Numbers.

607
00:34:23,520 --> 00:34:25,319
Speaker 3: I happen to think Rich is one of the best

608
00:34:25,360 --> 00:34:31,319
Speaker 3: pollsters in the business. Rich a couple things Donald Trump's

609
00:34:31,360 --> 00:34:36,080
Speaker 3: media strategy. He's got JD Vance going out and doing

610
00:34:37,040 --> 00:34:40,920
Speaker 3: a lot of traditional media. He is hammering those Sunday shows.

611
00:34:41,200 --> 00:34:44,880
Speaker 3: And I think that that's important, rich because if you

612
00:34:44,920 --> 00:34:48,640
Speaker 3: look at the demographics independence watched the Sunday shows they

613
00:34:48,880 --> 00:34:53,640
Speaker 3: just do and seniors as well. And JD. Vance is,

614
00:34:54,440 --> 00:34:57,160
Speaker 3: for lack of a better term, carpet bombing those interviews

615
00:34:57,160 --> 00:35:01,040
Speaker 3: and owning them, owning those interviews every single Sunday. I

616
00:35:01,040 --> 00:35:03,640
Speaker 3: think every single time he's appeared on a show, he

617
00:35:03,719 --> 00:35:06,920
Speaker 3: has never been owned or punked once ever ever. And

618
00:35:06,960 --> 00:35:09,000
Speaker 3: I think part of the reason is is he actually

619
00:35:09,080 --> 00:35:12,400
Speaker 3: understands the policy of America first and the economic underpinnings

620
00:35:12,440 --> 00:35:14,600
Speaker 3: of it all, and he's not afraid to go toe

621
00:35:14,640 --> 00:35:17,600
Speaker 3: to toe with these you know, frankly, these lightweights at

622
00:35:17,600 --> 00:35:20,440
Speaker 3: these corporate media outlets that try to that try to

623
00:35:20,520 --> 00:35:23,400
Speaker 3: drag him, and you know, and then Trump, on the

624
00:35:23,440 --> 00:35:28,279
Speaker 3: other hand, is doing these podcasts with massive reach. He's

625
00:35:28,280 --> 00:35:31,320
Speaker 3: doing this comedian's podcast today. I can't I can't remember

626
00:35:31,360 --> 00:35:36,680
Speaker 3: the damn guy's name, but he broke this unbelievable bit

627
00:35:36,719 --> 00:35:41,520
Speaker 3: of news that really hasn't been reported on. He talked

628
00:35:41,560 --> 00:35:44,520
Speaker 3: about the attempt on his life, both attempts on his life,

629
00:35:44,520 --> 00:35:47,319
Speaker 3: on a podcast with a bunch of comedians and actually said,

630
00:35:47,360 --> 00:35:49,960
Speaker 3: I'm breaking some news here, but I want to play

631
00:35:49,960 --> 00:35:51,680
Speaker 3: this for you, and I want to talk about that,

632
00:35:51,760 --> 00:35:54,080
Speaker 3: and I want to talk about how you think this

633
00:35:54,239 --> 00:35:58,680
Speaker 3: ties in to people's perception of Donald Trump in the

634
00:35:58,760 --> 00:36:00,880
Speaker 3: in the home stretch here, So listen to this. But

635
00:36:00,920 --> 00:36:03,879
Speaker 3: here we are. Who do you think tried to take

636
00:36:03,920 --> 00:36:04,279
Speaker 3: you out?

637
00:36:04,400 --> 00:36:07,959
Speaker 2: So I'm going to give you some big breaking news.

638
00:36:08,040 --> 00:36:08,200
Speaker 5: Right.

639
00:36:08,480 --> 00:36:09,000
Speaker 1: I love that.

640
00:36:09,880 --> 00:36:13,640
Speaker 2: So, so you have this shooter and you have another shooter. Right,

641
00:36:14,160 --> 00:36:21,319
Speaker 2: So this shooter had three or sell cell phones. The

642
00:36:21,400 --> 00:36:25,480
Speaker 2: FBI has never gotten them opened. Wow. The other shooter

643
00:36:25,680 --> 00:36:28,359
Speaker 2: three apps, they call them, and I believe they were

644
00:36:28,400 --> 00:36:33,919
Speaker 2: foreign based apps from what I understand, they haven't opened them,

645
00:36:34,040 --> 00:36:36,200
Speaker 2: and they're foreign base And you know, you hear all

646
00:36:36,239 --> 00:36:38,759
Speaker 2: about Iran because I was rough with Iran, but I

647
00:36:38,800 --> 00:36:40,480
Speaker 2: want to see a Ran do great. I want to

648
00:36:40,520 --> 00:36:44,000
Speaker 2: see a Ran do great. But I want to stop

649
00:36:44,040 --> 00:36:46,840
Speaker 2: all the killing and all this. And and I was

650
00:36:46,920 --> 00:36:49,480
Speaker 2: rough on Iran and they supposedly have a hit on me.

651
00:36:49,520 --> 00:36:51,400
Speaker 2: In fact, I think it takes great courage for you

652
00:36:51,480 --> 00:36:54,280
Speaker 2: people to be interviewing me because it could be now.

653
00:36:54,160 --> 00:36:56,080
Speaker 5: You know, well, we didn't know that before we got

654
00:36:56,120 --> 00:36:56,399
Speaker 5: in here.

655
00:36:56,560 --> 00:36:57,880
Speaker 2: If you would have known that, you might not have

656
00:36:57,920 --> 00:37:01,319
Speaker 2: done this exactly. In fact, this is a good way

657
00:37:01,320 --> 00:37:03,360
Speaker 2: of begetting the interview to be short exactly.

658
00:37:04,320 --> 00:37:06,239
Speaker 3: All of a sudden, he's going to say, you know, okay.

659
00:37:06,000 --> 00:37:06,279
Speaker 5: That's it.

660
00:37:09,520 --> 00:37:13,920
Speaker 2: They have three apps and foreign based two of them,

661
00:37:13,960 --> 00:37:15,920
Speaker 2: maybe three of them are foreign based. I haven't opened

662
00:37:15,960 --> 00:37:18,839
Speaker 2: them yet. Why would you open them when you hear

663
00:37:18,880 --> 00:37:21,040
Speaker 2: about Iran or when you hear about you know far

664
00:37:21,640 --> 00:37:25,799
Speaker 2: then the other one had six cell phones and they

665
00:37:25,800 --> 00:37:27,719
Speaker 2: haven't opened. Now you know, it's very hard to open

666
00:37:27,719 --> 00:37:30,000
Speaker 2: a cell phone. Only Apple can do it in theior.

667
00:37:31,440 --> 00:37:36,040
Speaker 2: So I sort of hate answering it because I don't

668
00:37:36,080 --> 00:37:40,480
Speaker 2: want to give any false identities. I don't want to

669
00:37:40,520 --> 00:37:43,799
Speaker 2: do anything having to do with creating something that isn't there.

670
00:37:45,040 --> 00:37:47,640
Speaker 2: You would look at Iran. Iran has an open threat

671
00:37:47,760 --> 00:37:50,520
Speaker 2: out for me. That's bad. And Biden, if he were

672
00:37:50,520 --> 00:37:53,399
Speaker 2: a real president, if he were the kind of guy

673
00:37:53,440 --> 00:37:58,200
Speaker 2: he should be, should say, if anybody shoots a former

674
00:37:58,239 --> 00:38:01,640
Speaker 2: president who's now the leading can, even though it's leaning

675
00:38:01,680 --> 00:38:08,959
Speaker 2: against Democrats, we will bomb that country into oblivion.

676
00:38:11,840 --> 00:38:15,560
Speaker 3: I mean, but consider what he just said. Two attempts

677
00:38:15,600 --> 00:38:18,640
Speaker 3: on the man's life yeah, there are phones that Apple

678
00:38:18,920 --> 00:38:26,640
Speaker 3: will not unlock and apparently foreign connections, maybe allegedly foreign connections.

679
00:38:26,920 --> 00:38:27,680
Speaker 5: We don't know.

680
00:38:28,360 --> 00:38:32,279
Speaker 3: How is it possible that the American people don't have

681
00:38:32,360 --> 00:38:35,719
Speaker 3: any of this intel yet? Number one? And clearly they're

682
00:38:35,760 --> 00:38:38,400
Speaker 3: just doing it because they believe whatever's on that phone,

683
00:38:38,480 --> 00:38:41,479
Speaker 3: or even a discussion of what's on that phone would

684
00:38:41,480 --> 00:38:45,040
Speaker 3: help Trump. I mean. And the crazy thing about it

685
00:38:45,080 --> 00:38:46,799
Speaker 3: is even when life and death is on the line,

686
00:38:46,800 --> 00:38:50,400
Speaker 3: because the deep state, these intel agencies, the FBI, the CIA,

687
00:38:51,120 --> 00:38:54,760
Speaker 3: they all know that they're afraid of a second Trump

688
00:38:54,800 --> 00:38:58,279
Speaker 3: presidency because Trump will be a wrecking ball in there

689
00:38:58,800 --> 00:39:00,840
Speaker 3: and he will cut sling low on Jane.

690
00:39:01,360 --> 00:39:03,360
Speaker 5: Yes, Jane now, Sean.

691
00:39:03,960 --> 00:39:08,600
Speaker 3: Yeah. And it's like, I don't know where we go

692
00:39:08,680 --> 00:39:14,160
Speaker 3: from here, only thinking that this last month, I mean,

693
00:39:14,360 --> 00:39:17,719
Speaker 3: how many days like in the twenties, now, these last

694
00:39:17,760 --> 00:39:21,759
Speaker 3: couple of weeks could be a very very bumpy ride,

695
00:39:21,840 --> 00:39:23,680
Speaker 3: don't you think. I mean, I hate to think like that,

696
00:39:23,840 --> 00:39:26,399
Speaker 3: but look at everything that's happened this last year.

697
00:39:26,440 --> 00:39:29,880
Speaker 5: My friend, well first too, let me say that, you know,

698
00:39:30,120 --> 00:39:32,000
Speaker 5: before the break, you were like, you know, what should

699
00:39:32,040 --> 00:39:34,680
Speaker 5: they be doing? I think you should leave the traditional

700
00:39:34,719 --> 00:39:37,480
Speaker 5: media hits for JDA. He's very good at it, and

701
00:39:37,520 --> 00:39:41,960
Speaker 5: going on these shows like Trump is doing is the

702
00:39:42,080 --> 00:39:44,960
Speaker 5: right call for a couple of reasons. Number one, look

703
00:39:45,000 --> 00:39:47,960
Speaker 5: how likable he came across and yes, yeah, he is

704
00:39:48,040 --> 00:39:51,640
Speaker 5: a very likable guy. The media has created this image

705
00:39:52,640 --> 00:39:55,920
Speaker 5: which is the complete opposite of what everyone remembers about

706
00:39:55,960 --> 00:40:01,040
Speaker 5: Donald Trump before he ran, isn't it? Very likable, repersonable,

707
00:40:01,360 --> 00:40:04,080
Speaker 5: a huge presence in the room, folks, if you've ever

708
00:40:04,120 --> 00:40:06,799
Speaker 5: been in the room with the former president, I mean

709
00:40:06,800 --> 00:40:09,279
Speaker 5: the Trump's in general, but like this man comes in

710
00:40:09,320 --> 00:40:11,920
Speaker 5: a room you want to, Like, people want to be

711
00:40:12,040 --> 00:40:14,560
Speaker 5: next to him, they want to talk to him. He's

712
00:40:14,600 --> 00:40:17,000
Speaker 5: got that presence about him. And then when you get

713
00:40:17,040 --> 00:40:17,520
Speaker 5: to him.

714
00:40:17,400 --> 00:40:22,520
Speaker 7: He's just freaking funny and he's just really like focused

715
00:40:22,560 --> 00:40:24,120
Speaker 7: on you and what you.

716
00:40:23,880 --> 00:40:27,440
Speaker 5: Say true, you know, like unbelievable. It's a great example

717
00:40:27,480 --> 00:40:31,480
Speaker 5: of that happened in sixteen in South Carolina. He just

718
00:40:31,520 --> 00:40:34,920
Speaker 5: popped up. It was last minute at this veterans thing healthcare,

719
00:40:35,760 --> 00:40:37,319
Speaker 5: and he comes around the room as a woman who

720
00:40:37,400 --> 00:40:40,480
Speaker 5: hated his guts. He had this woman face to face,

721
00:40:40,920 --> 00:40:42,919
Speaker 5: you know, and she's so mad at the end after

722
00:40:42,920 --> 00:40:46,760
Speaker 5: he leaves and like why you know what's your problem.

723
00:40:46,840 --> 00:40:48,279
Speaker 5: She's like, damn it, now I got to vote for

724
00:40:48,320 --> 00:40:51,520
Speaker 5: that son of a bitch and I'll never forget that.

725
00:40:51,560 --> 00:40:54,000
Speaker 5: Because he was like, you know what, honey, I don't

726
00:40:54,000 --> 00:40:55,960
Speaker 5: know what you're mad at, but how about we just

727
00:40:56,040 --> 00:40:58,000
Speaker 5: kind of talking out because in truth be told, you

728
00:40:58,080 --> 00:41:00,000
Speaker 5: know this, you live and breathe this stuff. I don't.

729
00:41:00,200 --> 00:41:02,239
Speaker 5: Maybe you know better than me, and I'll listen every

730
00:41:02,239 --> 00:41:04,600
Speaker 5: word you have to say. And he did, and then

731
00:41:04,640 --> 00:41:05,799
Speaker 5: he was funny with her.

732
00:41:05,960 --> 00:41:06,880
Speaker 3: He was likable.

733
00:41:07,239 --> 00:41:10,240
Speaker 5: I mean, that's Trump. That's the real Donald Trump, folks.

734
00:41:10,280 --> 00:41:12,799
Speaker 5: It's just you never really see it. And so these

735
00:41:12,920 --> 00:41:16,480
Speaker 5: venues number one show the real guy that's more likable.

736
00:41:16,800 --> 00:41:21,359
Speaker 5: And number two, it reaches this normy audience that is

737
00:41:22,160 --> 00:41:25,719
Speaker 5: like a twenty twenty five point margin for him if

738
00:41:25,719 --> 00:41:28,120
Speaker 5: he gets them to vote. And it's like a whole

739
00:41:28,160 --> 00:41:31,239
Speaker 5: new generation of non political people. It's not even that

740
00:41:31,280 --> 00:41:34,520
Speaker 5: they're younger, many of them are, but that's not just it.

741
00:41:34,400 --> 00:41:37,319
Speaker 5: And it's like these are normy people, are not high

742
00:41:37,400 --> 00:41:41,600
Speaker 5: political people. And she's going on these shows. Yes, she's

743
00:41:41,640 --> 00:41:44,680
Speaker 5: focusing the people that are higher propensity, but it's like

744
00:41:44,760 --> 00:41:47,600
Speaker 5: she's talking to her own audience when she goes on

745
00:41:48,440 --> 00:41:51,640
Speaker 5: the Colbert, she goes on the view, She's talking to

746
00:41:51,760 --> 00:41:55,320
Speaker 5: her own audience. She is not expanding her tent at all.

747
00:41:55,600 --> 00:41:59,120
Speaker 5: When Trump goes on these programs, he's not only expanding

748
00:41:59,120 --> 00:42:02,480
Speaker 5: the tent. He's redefine what it means to be a

749
00:42:02,520 --> 00:42:07,080
Speaker 5: Republican nominee to these people who, in many ways, you know,

750
00:42:07,120 --> 00:42:09,279
Speaker 5: are not a huge part of the political process. And

751
00:42:09,320 --> 00:42:11,680
Speaker 5: that is so important for the health and vitality of

752
00:42:11,719 --> 00:42:15,080
Speaker 5: a party going forward, especially one that has the shittiest

753
00:42:15,120 --> 00:42:17,839
Speaker 5: image that the Republican Party has, even though it's not

754
00:42:17,920 --> 00:42:21,520
Speaker 5: really true in the era of Trump, they're still widely

755
00:42:21,600 --> 00:42:24,520
Speaker 5: viewed by Normanis as the party of like Wall Street

756
00:42:24,640 --> 00:42:28,040
Speaker 5: and big business, all right, and the defense contractor. And

757
00:42:28,640 --> 00:42:31,560
Speaker 5: even though you and I folks at home, I mean,

758
00:42:31,560 --> 00:42:34,680
Speaker 5: if you're watching the show, you're savvy, you follow politics

759
00:42:34,719 --> 00:42:37,319
Speaker 5: all the time. You know that's not true anymore. But

760
00:42:37,480 --> 00:42:41,520
Speaker 5: most people who are in those audiences, those viewerships, they

761
00:42:41,560 --> 00:42:44,520
Speaker 5: do not. And Trump is out there doing that and

762
00:42:44,920 --> 00:42:50,320
Speaker 5: again showing them that the media portrayal is just not true.

763
00:42:50,800 --> 00:42:55,279
Speaker 5: How the media frames things is simply untrue. And there's

764
00:42:55,320 --> 00:42:57,440
Speaker 5: only one way to break through that, and that is

765
00:42:57,480 --> 00:42:59,919
Speaker 5: to go right to them. And then that's what he's

766
00:43:00,080 --> 00:43:02,560
Speaker 5: doing when he goes on these podcasts, I think. And

767
00:43:02,640 --> 00:43:05,120
Speaker 5: by the way, in sixteen, just to wrap that up,

768
00:43:05,360 --> 00:43:08,520
Speaker 5: in sixteen, he was in the last few weeks. Trump

769
00:43:08,600 --> 00:43:11,720
Speaker 5: has always been a very strong closer the last few weeks.

770
00:43:11,880 --> 00:43:16,520
Speaker 5: If sixteen he was super disciplined, he was laser focused,

771
00:43:16,840 --> 00:43:18,960
Speaker 5: and he needs to do that. They're going to try

772
00:43:19,000 --> 00:43:20,880
Speaker 5: to get under his skin. They're going to try to

773
00:43:20,880 --> 00:43:23,960
Speaker 5: get him off message and off topic, and he must

774
00:43:24,200 --> 00:43:28,440
Speaker 5: not do that. Even if that even if that's the case,

775
00:43:28,880 --> 00:43:31,560
Speaker 5: when they leak your emails, which is absolutely like you

776
00:43:31,600 --> 00:43:33,359
Speaker 5: were just saying, what's going to happen in the next

777
00:43:33,360 --> 00:43:36,440
Speaker 5: couple of weeks, They're going to leak these emails.

778
00:43:36,080 --> 00:43:39,600
Speaker 3: Perfect, perfect segue to where I'm going next, rich and

779
00:43:39,640 --> 00:43:43,120
Speaker 3: that that is where we stand out right now. Yeah,

780
00:43:43,160 --> 00:43:48,040
Speaker 3: with the October the October hoaxes, okay, because there are

781
00:43:48,080 --> 00:43:52,560
Speaker 3: several if you get yest, So I just want people

782
00:43:52,600 --> 00:43:55,080
Speaker 3: to be aware of, Yeah, like this is where we

783
00:43:55,120 --> 00:43:57,760
Speaker 3: are right now. You're going to see these talked about

784
00:43:57,840 --> 00:43:59,600
Speaker 3: in the media more and more. And let me just

785
00:43:59,640 --> 00:44:01,960
Speaker 3: tell you, so, you're gonna hear a lot about Trump

786
00:44:02,120 --> 00:44:05,960
Speaker 3: green lighting the Russian invasion. You're going to talk about

787
00:44:06,640 --> 00:44:10,640
Speaker 3: seven secret calls with Vladimir Putin, and then you're gonna

788
00:44:10,680 --> 00:44:14,920
Speaker 3: hear this. The third is COVID machines. Trump sent COVID

789
00:44:15,000 --> 00:44:19,280
Speaker 3: machines to Vladimir Putin when we were suffering here at home.

790
00:44:19,840 --> 00:44:23,920
Speaker 3: And then you're gonna hear this. This fourth one disaster relief.

791
00:44:24,520 --> 00:44:29,000
Speaker 3: Trump only gave disaster relief for people who were the

792
00:44:29,040 --> 00:44:33,799
Speaker 3: same political party as him. Those are the four main

793
00:44:34,000 --> 00:44:37,120
Speaker 3: hoaxes that you'll hear, and I'm telling you, listen, Tim

794
00:44:37,200 --> 00:44:40,280
Speaker 3: Walls just gave a speech and talked about all four

795
00:44:40,560 --> 00:44:43,759
Speaker 3: and the Republicans against Trump, all these ex Pence staffers

796
00:44:44,160 --> 00:44:46,640
Speaker 3: said the thing about, oh, I can't believe I'd be

797
00:44:46,680 --> 00:44:49,800
Speaker 3: in the White House and only administering disaster relief to

798
00:44:49,880 --> 00:44:53,040
Speaker 3: people who who had the same political affiliation as me.

799
00:44:53,120 --> 00:44:56,680
Speaker 3: But listen to Tim Walls just yesterday running the gamut

800
00:44:56,760 --> 00:44:59,000
Speaker 3: on all of these hoaxes. I'm telling you everybody needs

801
00:44:59,040 --> 00:45:01,160
Speaker 3: to be aware of what's Listen to this.

802
00:45:01,680 --> 00:45:05,080
Speaker 1: Donald Trump also said, instead of being like Ronald Reagan

803
00:45:05,160 --> 00:45:08,320
Speaker 1: and standing up to the Russians and their expansion, Donald

804
00:45:08,360 --> 00:45:11,200
Speaker 1: Trump told the Russians do whatever the hell you want

805
00:45:11,320 --> 00:45:15,840
Speaker 1: one of our allies as they rolled into the Ukraine.

806
00:45:17,280 --> 00:45:19,600
Speaker 1: And just today we learned a little bit more about

807
00:45:19,640 --> 00:45:25,839
Speaker 1: what he said. There's news reporting that Donald Trump has

808
00:45:25,840 --> 00:45:29,600
Speaker 1: had as many as seven private phone calls with Vladimir Putin.

809
00:45:35,120 --> 00:45:37,560
Speaker 1: I can guarantee you that Conala Harris and I do

810
00:45:37,680 --> 00:45:45,839
Speaker 1: not have dictators on speed dive. So now the one

811
00:45:45,880 --> 00:45:47,480
Speaker 1: that I have to tell you as a governor, and

812
00:45:47,520 --> 00:45:49,840
Speaker 1: for many of you here, this one makes my blood boil.

813
00:45:50,600 --> 00:45:53,680
Speaker 1: When we were struggling because of Donald Trump's incompetency during

814
00:45:53,680 --> 00:45:57,280
Speaker 1: the COVID pandemic, we were trying to get whatever materials

815
00:45:57,280 --> 00:45:59,520
Speaker 1: we could, COVID testing, whatever we could get.

816
00:46:00,040 --> 00:46:01,759
Speaker 3: It turns out now that.

817
00:46:01,840 --> 00:46:05,160
Speaker 1: Donald Trump was sending COVID machines to Vladimir Putin that

818
00:46:05,239 --> 00:46:07,040
Speaker 1: we couldn't get in our states.

819
00:46:11,840 --> 00:46:18,920
Speaker 3: Every day. So and now now as we watch in

820
00:46:18,960 --> 00:46:21,160
Speaker 3: our hearts go out and.

821
00:46:21,200 --> 00:46:25,000
Speaker 1: As governors and as American citizens, we see the heartache,

822
00:46:25,040 --> 00:46:28,000
Speaker 1: the turmoil, the loss, the trauma that happened after Hurricane

823
00:46:28,080 --> 00:46:29,840
Speaker 1: Helen and a natural disaster.

824
00:46:30,320 --> 00:46:32,279
Speaker 3: And we know we worked together. You saw it right

825
00:46:32,320 --> 00:46:33,399
Speaker 3: here during the Davis fire.

826
00:46:33,680 --> 00:46:36,040
Speaker 1: I watched all of you, many of you you stopped

827
00:46:36,040 --> 00:46:39,000
Speaker 1: campaigning and started collecting goods for people who are in

828
00:46:39,040 --> 00:46:42,239
Speaker 1: the fires. You stopped doing politics and other things to

829
00:46:42,360 --> 00:46:45,080
Speaker 1: look out for your neighbors. But now we've got Donald

830
00:46:45,160 --> 00:46:48,719
Speaker 1: Trump's staff telling us that Donald Trump was refusing to

831
00:46:48,760 --> 00:46:52,239
Speaker 1: send aid to disasters until he found out how the people.

832
00:46:51,960 --> 00:46:57,080
Speaker 3: In those areas voting four hoaxes all in one speech.

833
00:46:57,160 --> 00:46:59,120
Speaker 3: You are going to hear that relentless and some of

834
00:46:59,160 --> 00:47:04,000
Speaker 3: this is from that bullshit Woodward report that is all unsubstantiated,

835
00:47:04,040 --> 00:47:07,280
Speaker 3: and even the media is recognizing it. Somebody asked KJP

836
00:47:07,400 --> 00:47:10,080
Speaker 3: in the White House press room today, it's like you're

837
00:47:10,080 --> 00:47:13,359
Speaker 3: talking about stuff that's not been substantiating and saying if

838
00:47:13,400 --> 00:47:20,000
Speaker 3: this is true. Even the press is caveating this with like, hey,

839
00:47:20,040 --> 00:47:23,080
Speaker 3: you're saying if like what the hell? These are all hoaxes.

840
00:47:23,920 --> 00:47:25,759
Speaker 3: These are four that you're gonna hear again and again

841
00:47:25,800 --> 00:47:27,920
Speaker 3: and again at least for the next week. There will

842
00:47:27,960 --> 00:47:30,080
Speaker 3: be more hoaxes as well.

843
00:47:30,160 --> 00:47:34,360
Speaker 5: You heard them say Trader loud, and they were screaming

844
00:47:34,400 --> 00:47:34,880
Speaker 5: Trader the.

845
00:47:34,920 --> 00:47:37,400
Speaker 3: Audience, Yes, this ask.

846
00:47:38,680 --> 00:47:41,880
Speaker 5: This guy is out there creating more Steve Skelee shooters

847
00:47:41,880 --> 00:47:45,239
Speaker 5: as we speak. And that's, by the way, for people

848
00:47:45,239 --> 00:47:47,279
Speaker 5: who don't know what I'm talking about. The guy who

849
00:47:47,360 --> 00:47:50,560
Speaker 5: shot Steve Scalice and four others who work, by the

850
00:47:50,560 --> 00:47:54,480
Speaker 5: way for the Hillary Clinton campaign. And Bernie Sanders believed

851
00:47:54,480 --> 00:47:57,520
Speaker 5: wholeheartedly that Donald Trump colluded to with Vladimir Putin has

852
00:47:57,520 --> 00:47:59,920
Speaker 5: stealed the twenty sixteen election. And he thought the Republicans

853
00:48:00,200 --> 00:48:02,480
Speaker 5: enabling the Trader in the White House. Trader in the

854
00:48:02,480 --> 00:48:05,400
Speaker 5: White House quotes verbatim, and the last thing he posted

855
00:48:05,520 --> 00:48:07,920
Speaker 5: was somebody's got to do something about it. That is

856
00:48:08,200 --> 00:48:11,839
Speaker 5: why that man went out and shot Republican lawmakers as

857
00:48:11,880 --> 00:48:14,879
Speaker 5: they practice for a charity baseball game. All right, that's

858
00:48:14,960 --> 00:48:19,560
Speaker 5: number one. Number two, Oh, we have dictators on speed dial,

859
00:48:20,200 --> 00:48:23,359
Speaker 5: you do. Vladimir Zelensky is a dictator. Okay, that's number one.

860
00:48:23,400 --> 00:48:26,400
Speaker 5: All right. Ukraine doesn't share our values. They aren't Western.

861
00:48:26,480 --> 00:48:29,320
Speaker 5: They just want Western money, all right. They ban media

862
00:48:29,400 --> 00:48:33,120
Speaker 5: when media doesn't suit them, they ban religious institutions when

863
00:48:33,120 --> 00:48:36,400
Speaker 5: they don't suit them. They call off elections when they

864
00:48:36,400 --> 00:48:38,520
Speaker 5: don't think they're going to win them. All right, he

865
00:48:38,880 --> 00:48:42,080
Speaker 5: is a dictator. Ukraine is one of the biggest shitthole

866
00:48:42,120 --> 00:48:47,600
Speaker 5: countries in the world. It is completely corrupted beyond all repair.

867
00:48:47,840 --> 00:48:50,200
Speaker 5: And then Ukrainian people are many of them are in

868
00:48:50,239 --> 00:48:54,279
Speaker 5: fact good people, but they are not a Western value nation.

869
00:48:54,440 --> 00:48:58,000
Speaker 5: They're just not all right. So that's another fiction. And

870
00:48:58,560 --> 00:49:01,600
Speaker 5: dictators on speed dial is one of the dumbest things

871
00:49:01,719 --> 00:49:04,280
Speaker 5: I've ever heard. And this whole light, this old Russia

872
00:49:04,320 --> 00:49:08,280
Speaker 5: phobic nonsense that broke out in the era of Trump. Hello,

873
00:49:08,719 --> 00:49:14,160
Speaker 5: having Russia, Russian presidents and chairman on a speed dial

874
00:49:14,600 --> 00:49:18,160
Speaker 5: is what prevented a further Cuban missile crisis from occurring.

875
00:49:18,520 --> 00:49:21,560
Speaker 5: That is why they installed the Red Phone, because of

876
00:49:21,600 --> 00:49:24,680
Speaker 5: the Cuban missile crisis. And they're not being any communication

877
00:49:25,080 --> 00:49:29,319
Speaker 5: back and forth between the world's greatest nuclear superpowers. So

878
00:49:29,440 --> 00:49:32,040
Speaker 5: this idea that somehow you don't want to converse with

879
00:49:32,120 --> 00:49:35,320
Speaker 5: Vladimir Putin, you don't want to get along with Vladimir Putin,

880
00:49:35,680 --> 00:49:39,480
Speaker 5: is stupid for that reason alone, forget the other reasons that,

881
00:49:39,560 --> 00:49:42,560
Speaker 5: of course China is in the sphere of influence, and

882
00:49:42,680 --> 00:49:46,560
Speaker 5: anyone who was worth anything in international relations knows that

883
00:49:46,640 --> 00:49:49,560
Speaker 5: you would rather embrace Russia so they can help you

884
00:49:49,640 --> 00:49:52,799
Speaker 5: balance against the real rising threat that is China. And

885
00:49:53,520 --> 00:49:56,960
Speaker 5: the fact that we're pushing this Russia phobia nonsense, that's

886
00:49:57,000 --> 00:50:00,439
Speaker 5: preventing us domestically at home in our own politics from

887
00:50:00,480 --> 00:50:05,280
Speaker 5: doing that and causing this coalition with them China anyway,

888
00:50:05,280 --> 00:50:08,560
Speaker 5: you know, the Saudis now, I mean, and god forbid

889
00:50:08,600 --> 00:50:12,040
Speaker 5: India if we lose them all completely, is a balancing

890
00:50:12,080 --> 00:50:15,520
Speaker 5: coalition we cannot hope to balance again. So it's just

891
00:50:15,760 --> 00:50:20,480
Speaker 5: unbelievably stupid. And again, it's not a crime to talk

892
00:50:20,520 --> 00:50:23,279
Speaker 5: to a Russian, folks, all right, nont know what the

893
00:50:23,280 --> 00:50:25,920
Speaker 5: hell world these people are living in. Is not a

894
00:50:25,920 --> 00:50:28,600
Speaker 5: crime to talk to a Russian. But he's delivering this

895
00:50:28,640 --> 00:50:31,439
Speaker 5: because he's setting it up. They're gonna use some left

896
00:50:31,440 --> 00:50:33,600
Speaker 5: wing brag to dump some of this stuff out that

897
00:50:33,760 --> 00:50:36,960
Speaker 5: is in fact, unsubstantiated nonsense. It's what they did with

898
00:50:37,040 --> 00:50:41,600
Speaker 5: the dossier. Michael Steele has apparently another dossier. The Washington

899
00:50:41,640 --> 00:50:44,120
Speaker 5: Posts didn't even want to report on it this time

900
00:50:44,160 --> 00:50:46,440
Speaker 5: because they were burned so badly for the first one.

901
00:50:46,600 --> 00:50:49,560
Speaker 5: They basically wrote the headline instead that said, Steele has

902
00:50:49,600 --> 00:50:51,920
Speaker 5: another dossier on Trump? Does anybody want to read it?

903
00:50:52,440 --> 00:50:53,480
Speaker 5: That was the headline?

904
00:50:53,719 --> 00:50:54,840
Speaker 3: Does anybody want to read it?

905
00:50:54,880 --> 00:50:57,719
Speaker 5: Is anyone gonna take them seriously? Because everything was garbage?

906
00:50:57,960 --> 00:51:00,480
Speaker 5: But he's floating that because that's their play. That's what

907
00:51:00,520 --> 00:51:03,640
Speaker 5: they're gonna do. Listen, all I can tell you is this, folks,

908
00:51:03,800 --> 00:51:06,359
Speaker 5: The truth is, you know, the people that aren't sitting

909
00:51:06,400 --> 00:51:09,759
Speaker 5: at own glue to MSNBC being fed coopium on it.

910
00:51:09,800 --> 00:51:11,960
Speaker 5: And that's what. By the way, the Quinnipiac Pole throws

911
00:51:11,960 --> 00:51:14,680
Speaker 5: them a bone with Pennsylvania, right, the New York Times

912
00:51:14,680 --> 00:51:16,960
Speaker 5: throws them a bone with the national poll even though

913
00:51:16,960 --> 00:51:19,960
Speaker 5: they got Trump up by thirteen folks. Let me put this,

914
00:51:20,800 --> 00:51:21,960
Speaker 5: let me say this a lot of clear. I've been

915
00:51:21,960 --> 00:51:25,480
Speaker 5: tweeting about this for two days. There is no chance

916
00:51:26,160 --> 00:51:28,920
Speaker 5: that Kamala Harris is going to win the popular vote

917
00:51:29,360 --> 00:51:32,520
Speaker 5: if she is down thirteen points in Florida, at least

918
00:51:32,640 --> 00:51:35,440
Speaker 5: down as much as Biden was in Texas in twenty twenty.

919
00:51:35,640 --> 00:51:39,440
Speaker 5: According to the PPI C Pole almost ten points behind

920
00:51:39,520 --> 00:51:43,640
Speaker 5: Biden in California. All right, New York and New Jersey

921
00:51:43,800 --> 00:51:47,520
Speaker 5: are high single digits to maybe ten twelve percent. The

922
00:51:47,840 --> 00:51:51,080
Speaker 5: math doesn't work. She's not gonna make that up by

923
00:51:51,120 --> 00:51:56,279
Speaker 5: suddenly overperforming in Pennsylvania, Michigan, and Wisconsin. First of all,

924
00:51:56,360 --> 00:51:59,240
Speaker 5: even if she did, it still wouldn't make up those votes.

925
00:51:59,400 --> 00:52:02,240
Speaker 5: Look at what happen in the twenty two midtern House vote.

926
00:52:02,280 --> 00:52:05,319
Speaker 5: They still didn't make it up. You cannot lose these

927
00:52:05,360 --> 00:52:08,280
Speaker 5: big blue states lose support, and these big blue states

928
00:52:08,480 --> 00:52:10,400
Speaker 5: the way that it looks like she's going to Oh,

929
00:52:10,480 --> 00:52:14,200
Speaker 5: by the way, Maryland today, just a poll came out

930
00:52:14,239 --> 00:52:17,360
Speaker 5: in Maryland. She is ten points behind where Joe Biden

931
00:52:17,440 --> 00:52:18,880
Speaker 5: was in the state of Maryland.

932
00:52:19,280 --> 00:52:19,640
Speaker 3: Folks.

933
00:52:20,880 --> 00:52:22,799
Speaker 5: The New York Times has thrown that out there for

934
00:52:22,880 --> 00:52:26,320
Speaker 5: their readers to give their readers copium. Oh yeah, Nationally,

935
00:52:26,360 --> 00:52:28,799
Speaker 5: she's up three yeah. Sure. By the way, she's down

936
00:52:28,880 --> 00:52:33,320
Speaker 5: thirteen in Florida, and she's going to lose Miami Day. Okay,

937
00:52:33,560 --> 00:52:35,920
Speaker 5: so she's going to lose the most populous county in

938
00:52:36,040 --> 00:52:40,960
Speaker 5: the Sun Belt. Yet she's going to happen well in Florida.

939
00:52:41,120 --> 00:52:45,120
Speaker 5: She's going to somehow hold on in southern Florida. But

940
00:52:45,280 --> 00:52:47,640
Speaker 5: she's going to somehow win the popular vote. The math

941
00:52:47,640 --> 00:52:50,520
Speaker 5: doesn't make sense. I asked people on Twitter yesterday. I

942
00:52:50,560 --> 00:52:53,319
Speaker 5: asked Nate Cohen himself, just do me a favor, like

943
00:52:53,400 --> 00:52:55,640
Speaker 5: we're back in high school. Please show your work because

944
00:52:55,640 --> 00:52:58,080
Speaker 5: it matters in this business, all right, show your work.

945
00:52:58,120 --> 00:53:01,200
Speaker 5: Where is she getting these votes from? So when you

946
00:53:01,239 --> 00:53:06,200
Speaker 5: talk to real like people aren't glued to MSNBC getting

947
00:53:06,200 --> 00:53:08,520
Speaker 5: fed that copium because they need it to survive on

948
00:53:08,560 --> 00:53:11,399
Speaker 5: a daily basis. When you talk to the people who

949
00:53:11,440 --> 00:53:15,359
Speaker 5: really know, they know that this she is in a

950
00:53:15,560 --> 00:53:19,120
Speaker 5: very very bad spot. And here's my concern. He's feeding

951
00:53:19,160 --> 00:53:22,600
Speaker 5: that crowd bullshit. Right. The New York Times is feeding

952
00:53:22,800 --> 00:53:27,399
Speaker 5: their readers bullshit. When Democrats don't win, and they don't

953
00:53:27,440 --> 00:53:33,800
Speaker 5: win unexpectedly and they lose things growth, okay, Institutions get broken,

954
00:53:34,160 --> 00:53:37,719
Speaker 5: businesses get burned, cars get turned upside down and lit

955
00:53:37,760 --> 00:53:41,319
Speaker 5: on fire. They need to start preparing them for this

956
00:53:41,719 --> 00:53:45,160
Speaker 5: because it is it is irresponsible to do what they're

957
00:53:45,160 --> 00:53:48,440
Speaker 5: doing here, Sean, because do you remember twenty seventeen him

958
00:53:48,480 --> 00:53:51,160
Speaker 5: being inaugurated. You had to watch where you were walking

959
00:53:51,200 --> 00:53:54,840
Speaker 5: in DC. That absolutely for overturning cars, burning them in

960
00:53:54,880 --> 00:53:56,680
Speaker 5: the streets. Folks, you've ever been next to a car

961
00:53:56,680 --> 00:53:58,880
Speaker 5: where retires about to explode? Do you have any idea

962
00:53:59,160 --> 00:54:02,160
Speaker 5: how hot that car? It is no joke. You better

963
00:54:02,200 --> 00:54:05,080
Speaker 5: walk on the other side of the street. They were

964
00:54:05,680 --> 00:54:08,600
Speaker 5: they had lost their minds because in their mind, Hillary

965
00:54:08,640 --> 00:54:11,759
Speaker 5: Clinton was way ahead. This was a shoe and what happened, Oh,

966
00:54:12,000 --> 00:54:15,200
Speaker 5: Guess what, and then it makes sense. Guess what. It's

967
00:54:15,239 --> 00:54:18,400
Speaker 5: some It was the boogeyman. It was Vladimir Putin.

968
00:54:18,520 --> 00:54:22,160
Speaker 3: Exactly to me, because there's no other way.

969
00:54:22,440 --> 00:54:25,400
Speaker 5: The polls showed us this. The commentators said that, the

970
00:54:25,760 --> 00:54:29,720
Speaker 5: models said this. They need to start preparing these people

971
00:54:29,760 --> 00:54:33,480
Speaker 5: because you think January sixth is nothing. January sixth was

972
00:54:33,520 --> 00:54:35,479
Speaker 5: a protest that got too rowdy, all.

973
00:54:35,440 --> 00:54:37,280
Speaker 3: Right, exactly, that's what happened.

974
00:54:37,480 --> 00:54:40,320
Speaker 5: Nobody died at January sixth at the hand of protesters.

975
00:54:40,640 --> 00:54:43,680
Speaker 5: Protesters died at the hands of authorities. It was a

976
00:54:43,719 --> 00:54:46,600
Speaker 5: complete and total setup, and they nudged to certain people

977
00:54:46,600 --> 00:54:48,440
Speaker 5: in the right direction to get them to do what

978
00:54:48,520 --> 00:54:52,120
Speaker 5: they wanted them to do. This will be bad because

979
00:54:52,239 --> 00:54:56,680
Speaker 5: leftists lose their shit when they lose elections that they

980
00:54:56,719 --> 00:55:00,000
Speaker 5: don't expect to lose. They hurt people, They hurt police

981
00:55:00,000 --> 00:55:03,560
Speaker 5: police officers. Four went down in Chicago alone that day.

982
00:55:03,960 --> 00:55:07,319
Speaker 5: Four went down alone in one night. And you know

983
00:55:07,520 --> 00:55:09,520
Speaker 5: by the way that was put together by a Bernie

984
00:55:09,640 --> 00:55:14,160
Speaker 5: Sanders staffer, that protest. I mean, these people are dangerous

985
00:55:14,440 --> 00:55:19,120
Speaker 5: when they are blindsided, and it's it's like I said,

986
00:55:19,239 --> 00:55:21,400
Speaker 5: it's time for them to start having this conversation.

987
00:55:21,680 --> 00:55:24,640
Speaker 3: There's a party of violence, man, they are a party

988
00:55:24,640 --> 00:55:26,960
Speaker 3: of well in the Senate building in the eighties, Sean,

989
00:55:27,320 --> 00:55:30,719
Speaker 3: there's one in one death alone in Congress from somebody

990
00:55:30,760 --> 00:55:33,560
Speaker 3: who's shot a congressman in the halls of Congress?

991
00:55:33,680 --> 00:55:34,200
Speaker 5: Who did it?

992
00:55:34,320 --> 00:55:35,279
Speaker 3: John Right?

993
00:55:35,400 --> 00:55:39,960
Speaker 5: Who assassinated all of these presidents? Leftists at at best?

994
00:55:40,360 --> 00:55:43,200
Speaker 5: One was an anarchist, okay, and he called himself a

995
00:55:43,280 --> 00:55:47,560
Speaker 5: left wing anarchist. They are dangerous when they lose. Dangerous.

996
00:55:47,640 --> 00:55:52,960
Speaker 5: January sixth is a frigging boy scout sleepover that went

997
00:55:53,400 --> 00:55:56,600
Speaker 5: awry compared to what we're going to get if they

998
00:55:56,800 --> 00:55:59,680
Speaker 5: if they get blindsided again and lose this election. You know,

999
00:55:59,760 --> 00:56:04,560
Speaker 5: so uh the yeah? Wait, I think the first inauguration

1000
00:56:04,680 --> 00:56:07,600
Speaker 5: was dangerous, So this one?

1001
00:56:08,000 --> 00:56:10,480
Speaker 3: So what? Okay? So shift gears with me. What are

1002
00:56:10,480 --> 00:56:13,239
Speaker 3: you doing? What are you and Savage Lauras and the

1003
00:56:13,320 --> 00:56:15,719
Speaker 3: family doing for the birthday today? And how old are that?

1004
00:56:16,320 --> 00:56:17,560
Speaker 5: Yeah? Forty three?

1005
00:56:18,120 --> 00:56:20,200
Speaker 3: So we're the same age? Were the same age?

1006
00:56:21,040 --> 00:56:21,239
Speaker 2: No?

1007
00:56:21,840 --> 00:56:25,839
Speaker 3: Yeah, younger than me. I look like I'm fifty. Look

1008
00:56:25,880 --> 00:56:26,680
Speaker 3: at all this gray hair.

1009
00:56:27,000 --> 00:56:30,320
Speaker 8: Well, listen, I put this shit in my hair. Thats

1010
00:56:31,520 --> 00:56:35,000
Speaker 8: not coloring, It's just the stuff that I use kind

1011
00:56:35,040 --> 00:56:37,800
Speaker 8: of hides the gray. Listen, the people who are watching

1012
00:56:37,800 --> 00:56:40,000
Speaker 8: the show the other day, what are the odds on Monday?

1013
00:56:40,239 --> 00:56:42,560
Speaker 8: They saw it because my camera broke. And by the way,

1014
00:56:42,600 --> 00:56:44,359
Speaker 8: it is my camera that makes me look this white.

1015
00:56:44,600 --> 00:56:46,960
Speaker 5: Anyone who's watching the show on Monday notes I used

1016
00:56:47,000 --> 00:56:49,880
Speaker 5: a camera that she didn't look that hasty.

1017
00:56:51,120 --> 00:56:51,840
Speaker 3: In the basement.

1018
00:56:53,040 --> 00:56:55,120
Speaker 5: She needs to do something about this. I'm telling you,

1019
00:56:55,200 --> 00:56:57,520
Speaker 5: I'm gonna take this camera down. But one thing you

1020
00:56:57,520 --> 00:57:00,200
Speaker 5: could see is that my eyes are green, and they

1021
00:57:00,200 --> 00:57:02,439
Speaker 5: are green. And you could see my eyes were green

1022
00:57:02,520 --> 00:57:05,800
Speaker 5: and my hair is gray. And it's like, this camera

1023
00:57:05,880 --> 00:57:08,120
Speaker 5: does one thing good. It hides a lot of it,

1024
00:57:08,160 --> 00:57:09,919
Speaker 5: along with the ship and that I put in my hair.

1025
00:57:10,640 --> 00:57:13,080
Speaker 5: But yeah, forty three years old, we're gonna wind up

1026
00:57:13,120 --> 00:57:17,480
Speaker 5: going instead of going to Yeah, there's something I'll tell you.

1027
00:57:17,600 --> 00:57:22,400
Speaker 5: Eastern North Carolina has like some diamonds and like hidden gems,

1028
00:57:22,480 --> 00:57:24,800
Speaker 5: let me put it that way. When it comes to restaurants,

1029
00:57:25,080 --> 00:57:26,640
Speaker 5: and there is one that I wanted to go to

1030
00:57:26,840 --> 00:57:29,840
Speaker 5: in more Head, but you know, look, it's it's the

1031
00:57:29,840 --> 00:57:34,000
Speaker 5: middle of the week. Everyone's kind of like tired, So

1032
00:57:34,040 --> 00:57:37,320
Speaker 5: we're just gonna go to our like favorite spot. Downtown

1033
00:57:37,440 --> 00:57:39,120
Speaker 5: or at least that kind of favorite spot. There's a

1034
00:57:39,200 --> 00:57:41,800
Speaker 5: jet it's like our favorite Japanese he's our favorite stick

1035
00:57:41,880 --> 00:57:44,520
Speaker 5: out right, And I'm gonna go downtown and we're gonna go.

1036
00:57:44,760 --> 00:57:47,880
Speaker 5: Even though it was sold, it's still very good. Out

1037
00:57:47,920 --> 00:57:49,480
Speaker 5: of the owner, I used to know, he's a great,

1038
00:57:49,640 --> 00:57:51,880
Speaker 5: great he's a good friend. But he's he's a liberal too,

1039
00:57:51,880 --> 00:57:54,960
Speaker 5: which is funny. But Nika, he found out who I

1040
00:57:55,000 --> 00:57:56,720
Speaker 5: was and he would come and sit at the table

1041
00:57:56,760 --> 00:58:00,200
Speaker 5: and bs with us and the you know, yeah, he

1042
00:58:00,280 --> 00:58:03,600
Speaker 5: was definitely a Biden supporter in twenty and yeah. Any

1043
00:58:03,720 --> 00:58:06,320
Speaker 5: in any event, he did sell that restaurant, unfortunately, but

1044
00:58:06,320 --> 00:58:07,960
Speaker 5: it's still really good and we're gonna go. Well, I

1045
00:58:08,000 --> 00:58:10,480
Speaker 5: have an early dinner and have an early back. I mean,

1046
00:58:10,600 --> 00:58:13,720
Speaker 5: kids got school. That's why. I mean, I really would

1047
00:58:13,720 --> 00:58:15,520
Speaker 5: have liked to go to the other place. They have

1048
00:58:15,600 --> 00:58:17,760
Speaker 5: some great oysters. I mean, that's the one. I have

1049
00:58:17,800 --> 00:58:20,360
Speaker 5: to live by the ocean, Sean. There's so many places

1050
00:58:20,400 --> 00:58:23,760
Speaker 5: that in this country. He's listening up there of the ocean.

1051
00:58:24,040 --> 00:58:27,160
Speaker 3: Melanie was born. She's an ocean. She's a beach woman.

1052
00:58:27,280 --> 00:58:30,400
Speaker 3: Now she's gonna talk about seafood and I can't eat Melanie.

1053
00:58:30,840 --> 00:58:34,560
Speaker 3: I don't eat seafood. I have a shellfish allergy, but

1054
00:58:34,760 --> 00:58:38,600
Speaker 3: oh god, I own like a two year old. I

1055
00:58:38,600 --> 00:58:41,040
Speaker 3: eat like a so dino nuggets and mac and cheese.

1056
00:58:41,080 --> 00:58:44,400
Speaker 3: If a restaurant every every first of all nuggets to

1057
00:58:44,480 --> 00:58:47,400
Speaker 3: the bomb and exactly thank you for acknowledging that. But

1058
00:58:47,560 --> 00:58:50,600
Speaker 3: every restaurant I go in, from five star on down,

1059
00:58:50,840 --> 00:58:54,280
Speaker 3: I judge exclusively on the quality of their mac and cheese.

1060
00:58:54,520 --> 00:58:58,880
Speaker 3: Scale one and cheese, and I think I think it

1061
00:58:59,080 --> 00:59:02,360
Speaker 3: actually works. I think it's a very good measuring stick.

1062
00:59:02,880 --> 00:59:05,040
Speaker 5: There's a place here that a lot of people go

1063
00:59:05,080 --> 00:59:07,120
Speaker 5: to for Christmas, and even you can go to for

1064
00:59:07,200 --> 00:59:09,800
Speaker 5: like Halloween. They do all this cool stuff they have

1065
00:59:09,920 --> 00:59:14,040
Speaker 5: like southern soul food and their mac and cheese. If

1066
00:59:14,040 --> 00:59:16,680
Speaker 5: you're a mac and cheese lover, brother, you have got

1067
00:59:16,760 --> 00:59:19,600
Speaker 5: to check this place at Their mac and cheese is baked,

1068
00:59:20,120 --> 00:59:24,280
Speaker 5: comes in this bowl. It's like a ceramic bowl. It

1069
00:59:24,480 --> 00:59:26,680
Speaker 5: is the best mac and cheese.

1070
00:59:27,320 --> 00:59:28,080
Speaker 3: It's so good.

1071
00:59:28,160 --> 00:59:30,960
Speaker 5: And they have like other things that you would expect, chicken,

1072
00:59:31,000 --> 00:59:33,720
Speaker 5: fried steak, stuff like that, but the mac and cheese.

1073
00:59:34,040 --> 00:59:36,920
Speaker 5: Everyone goes there for the mac and cheese. It's like

1074
00:59:36,960 --> 00:59:39,680
Speaker 5: a little diner that they have on the premises, and

1075
00:59:40,080 --> 00:59:43,240
Speaker 5: there can be lines like people are like going to

1076
00:59:43,280 --> 00:59:46,240
Speaker 5: go see the Christmas attractions and stuff like that, and

1077
00:59:46,280 --> 00:59:47,800
Speaker 5: you know, you can get through any of them and

1078
00:59:47,840 --> 00:59:49,880
Speaker 5: do anything you want without a problem. But if you

1079
00:59:49,920 --> 00:59:52,280
Speaker 5: go a certain time of the day, especially during dinner time,

1080
00:59:52,320 --> 00:59:53,959
Speaker 5: and try to get in that diner for a bowl

1081
00:59:54,000 --> 00:59:57,560
Speaker 5: of that mac and cheese, forget about You're never gonna get.

1082
00:59:57,600 --> 01:00:02,360
Speaker 5: You'll be online for two hours and there's a it's golden.

1083
01:00:02,440 --> 01:00:04,200
Speaker 5: It's the best mac and cheese in the world. If

1084
01:00:04,240 --> 01:00:06,200
Speaker 5: you would you would love it. If you like mac

1085
01:00:06,240 --> 01:00:07,160
Speaker 5: and cheese, you would love it.

1086
01:00:07,200 --> 01:00:10,080
Speaker 3: You know how the Barstool Sports guy does the pizza reviews.

1087
01:00:10,160 --> 01:00:15,240
Speaker 3: I should travel the country all my views, like you know,

1088
01:00:15,440 --> 01:00:17,280
Speaker 3: talk about doing the things that you love and you

1089
01:00:17,360 --> 01:00:19,240
Speaker 3: never have to work a day in your life. I

1090
01:00:19,240 --> 01:00:21,280
Speaker 3: could just be I could just eat mac and cheese

1091
01:00:21,400 --> 01:00:21,920
Speaker 3: every day.

1092
01:00:21,920 --> 01:00:23,640
Speaker 5: Oh my god, I love mac and cheese.

1093
01:00:23,680 --> 01:00:27,720
Speaker 3: You know, in fact, I might actually do that and cheese.

1094
01:00:28,760 --> 01:00:31,080
Speaker 5: You ever get the cracker marrel mac and cheese from

1095
01:00:31,120 --> 01:00:33,760
Speaker 5: a store, from the grocery store's and like a box

1096
01:00:34,200 --> 01:00:37,640
Speaker 5: they can get white cheddar done that rich, you know,

1097
01:00:37,920 --> 01:00:40,760
Speaker 5: Holy crap, it's really good. I wait until they buy one.

1098
01:00:40,800 --> 01:00:44,480
Speaker 5: Get one, Yeah, because they're ridiculous expensive, especially under by It.

1099
01:00:44,600 --> 01:00:46,760
Speaker 5: They used to be always expensive, but now it's like

1100
01:00:46,880 --> 01:00:50,200
Speaker 5: really bad. But like, wait till they buy one. Get one.

1101
01:00:50,240 --> 01:00:53,000
Speaker 5: Have a regular mac and cheese, you know, your your

1102
01:00:53,040 --> 01:00:55,760
Speaker 5: traditional mac and cheese. They have the white cheddar one,

1103
01:00:55,760 --> 01:00:58,360
Speaker 5: which I love for mont white cheddar, and then they

1104
01:00:58,400 --> 01:01:00,480
Speaker 5: have the Google to It one.

1105
01:01:00,520 --> 01:01:00,840
Speaker 3: Have you?

1106
01:01:00,880 --> 01:01:03,959
Speaker 5: Oh man, I know it sounds crazy, but Guda mac

1107
01:01:04,000 --> 01:01:09,640
Speaker 5: and cheese is incredible. So is a Guda grilled cheese.

1108
01:01:10,240 --> 01:01:14,680
Speaker 5: Oh yeah, well you're right though. It's like three cheeses

1109
01:01:14,720 --> 01:01:17,840
Speaker 5: at least, and it's a heart attack special because you

1110
01:01:17,920 --> 01:01:20,320
Speaker 5: got to like glaze the bread with like a little

1111
01:01:20,320 --> 01:01:23,880
Speaker 5: cream cheese. It's the heart attack special. But it's delicious.

1112
01:01:24,040 --> 01:01:24,800
Speaker 5: Oh my god.

1113
01:01:25,920 --> 01:01:27,680
Speaker 3: You know where it's just gonna go get some mac

1114
01:01:27,720 --> 01:01:29,480
Speaker 3: and cheese and maybe some seafood and oyster.

1115
01:01:30,920 --> 01:01:33,400
Speaker 5: I'm gonna get a flank steak tonight. That's what I

1116
01:01:33,440 --> 01:01:34,760
Speaker 5: think I'm gonna do this place.

1117
01:01:34,960 --> 01:01:37,320
Speaker 3: Or before you go get a flank steak, tell us

1118
01:01:37,320 --> 01:01:39,440
Speaker 3: how we can support you, where we can find you.

1119
01:01:40,040 --> 01:01:44,720
Speaker 5: Yeah, I'm gonna do a stream tomorrow too instead of today.

1120
01:01:44,960 --> 01:01:47,439
Speaker 5: So get you know, of course, just keep your eye

1121
01:01:47,440 --> 01:01:50,240
Speaker 5: on my locals page, People's pundent dot locals dot com,

1122
01:01:50,440 --> 01:01:52,000
Speaker 5: and we'll tell you when and where that is. I

1123
01:01:52,040 --> 01:01:55,080
Speaker 5: did a quick little one before, uh, just to tell people,

1124
01:01:55,120 --> 01:01:57,480
Speaker 5: like I said, and just stay in the field a

1125
01:01:57,480 --> 01:01:59,320
Speaker 5: couple of days here. I'm going to show some stuff

1126
01:01:59,320 --> 01:02:01,720
Speaker 5: from Michigan and to me tomorrow anyway on the show.

1127
01:02:02,120 --> 01:02:04,200
Speaker 5: But I really do believe that we need to stay

1128
01:02:04,200 --> 01:02:05,880
Speaker 5: in the field for a little bit so I can

1129
01:02:06,080 --> 01:02:09,040
Speaker 5: kind of ascertain whether or not this is like how

1130
01:02:09,080 --> 01:02:11,400
Speaker 5: far is this going to go? Like is this gonna

1131
01:02:11,480 --> 01:02:14,520
Speaker 5: end to Trump plus two in Pennsylvania and Michigan or

1132
01:02:14,520 --> 01:02:20,040
Speaker 5: am I gonna see because I Michigan, just stay tuned. Michigan,

1133
01:02:20,080 --> 01:02:22,800
Speaker 5: by all accounts should vote to the left of Pennsylvania

1134
01:02:22,920 --> 01:02:27,760
Speaker 5: no matter which way they go. But honestly, they should

1135
01:02:27,760 --> 01:02:32,800
Speaker 5: probably all vote together Wisconsin alike. But Michigan does like

1136
01:02:32,880 --> 01:02:35,760
Speaker 5: have the makings. I guess it obviously depends on turnout.

1137
01:02:36,120 --> 01:02:39,720
Speaker 5: But my god, Sean, her white working class vote in

1138
01:02:39,760 --> 01:02:45,040
Speaker 5: that state is just awful. It's so bad, and it's like,

1139
01:02:45,760 --> 01:02:49,080
Speaker 5: why wouldn't we have expected anything else? Honestly, Like, I

1140
01:02:49,080 --> 01:02:51,320
Speaker 5: don't know why I'm so shocked. At this point, we

1141
01:02:51,360 --> 01:02:52,720
Speaker 5: should have expected.

1142
01:02:52,240 --> 01:02:58,080
Speaker 3: That she's the worst. Stay tuned, all right, Rich, Happy birthday,

1143
01:02:58,120 --> 01:03:00,560
Speaker 3: my friend. Everyone go over to local support Rich over

1144
01:03:00,600 --> 01:03:04,760
Speaker 3: there follow is Rumble channel on People's Pundit. Happy birthday,

1145
01:03:04,840 --> 01:03:06,040
Speaker 3: my friends. See you next week.

1146
01:03:06,520 --> 01:03:08,800
Speaker 5: Thanks buddy, stay young. I'll see you next week.

1147
01:03:09,360 --> 01:03:12,480
Speaker 3: See you, my friend. That's Savage Rich Barris. Okay, folks

1148
01:03:12,800 --> 01:03:15,280
Speaker 3: with us for the full hour. Thank you all. Before

1149
01:03:15,320 --> 01:03:18,480
Speaker 3: you leave, we're almost to five hundred likes. Make sure

1150
01:03:18,480 --> 01:03:21,040
Speaker 3: you smash that rumble button, that like button. Let's see

1151
01:03:21,080 --> 01:03:23,040
Speaker 3: if we can get as close to five hundred as

1152
01:03:23,120 --> 01:03:26,200
Speaker 3: humanly possible. If you're watching or listening to this show

1153
01:03:26,280 --> 01:03:30,360
Speaker 3: for the very first time, follow and subscribe Battleground Live.

1154
01:03:30,800 --> 01:03:33,080
Speaker 3: Follow and subscribe. We want you in the trenches helping

1155
01:03:33,120 --> 01:03:36,000
Speaker 3: to fight to save this country. Do not forget about

1156
01:03:36,040 --> 01:03:40,640
Speaker 3: Official Seanparnell dot com, your one stop shop for all

1157
01:03:40,720 --> 01:03:44,000
Speaker 3: things Battleground Live, All America. First news that you're not

1158
01:03:44,000 --> 01:03:48,280
Speaker 3: gonna see anywhere else. That's official Seanparnell dot Com. As always, folks,

1159
01:03:48,520 --> 01:03:51,680
Speaker 3: God bless you all, God bless this amazing country that

1160
01:03:51,760 --> 01:03:54,360
Speaker 3: we call home. Take care, keep the faith. The best

1161
01:03:54,440 --> 01:03:57,200
Speaker 3: is yet to come. I'll see you tomorrow. Night battle crew,

1162
01:03:57,400 --> 01:03:57,840
Speaker 3: take care.