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

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Speaker 1: battle to Save America with your host Sean Parnell.

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Speaker 2: Good evening, America, Welcome to Battleground Live. This is the

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Speaker 2: show that kicks ass and takes names and locks horns

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Speaker 2: with the radical left. We never quit, we never surrender.

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Speaker 2: Folks from sea to Shining Sea and everybody in between,

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Speaker 2: Welcome patriots on this glorious, glorious Savage Wednesday. Of course,

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Speaker 2: it's the day of days. I gotta tell you, I

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Speaker 2: love how excited people get for Savage Wednesdays. Rich Barris,

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Speaker 2: it's just great. He's the director. For those of you

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Speaker 2: all who are listening for the first time, he's the

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Speaker 2: director of Big Data Poll and host of his own

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Speaker 2: show on Rumble called Inside Done Numbers. I largely regard

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Speaker 2: him as the best polster in the industry. He's also

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Speaker 2: a very good friend of mine, So recite to have

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Speaker 2: him on deck here and just a little bit we

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Speaker 2: also have on the show tomorrow and listen for the

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Speaker 2: first He's a first timer. He's a he's a he's

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Speaker 2: a first time member. I don't I don't know how

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Speaker 2: to say. Throw some suggestions in the live chat for

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Speaker 2: first timers on the show, but I got a first

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Speaker 2: timer on deck for tomorrow. His name is doctor Zama. Now,

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Speaker 2: doctor Zama is a very he's a good friend of

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Speaker 2: mine as well. He is just an amazing American patriot.

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Speaker 2: He ran for governor in the twenty twenty two cycle.

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Speaker 2: I got to know him in the primary during that cycle.

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Speaker 2: We often found ourselves in the campaign trail together many

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Speaker 2: many times. But this guy's an amazing inspirational guy, has

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Speaker 2: an unbelievable backstory. I mean, you would not believe this

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Speaker 2: guy's story. And I won't say anything more because I'll

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Speaker 2: let him ex playing it tomorrow. But he's also, you know,

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Speaker 2: on our side politically. He's an America first guy through

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Speaker 2: and through. He's a world class a world class surgeon.

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Speaker 2: I think he's a heart surgeon. And he also dated

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Speaker 2: Kamala Harris, so he's a crazy. He's a Lockstock and

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Speaker 2: Borough Conservative, but he dated Kamala Harris. It has some

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Speaker 2: stories about what that was like. So that is happening

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Speaker 2: tomorrow on Battleground Live. Folks, really excited to have you

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Speaker 2: all here. Make sure you smash that like button, that

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Speaker 2: little green thumb beneath the video. Go ahead, and smash it.

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Speaker 2: I think we were number thirty five on the leaderboard today,

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Speaker 2: which is amazing. It's crazy to me that this show

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Speaker 2: has come this far this fast. I mean, obviously that's

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Speaker 2: in large part to Brock and Wendy Bell and you

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Speaker 2: all the Battle Crew for making that possible. But smash

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Speaker 2: that like button, it helps us get on the leaderboard.

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Speaker 2: Also your daily reminder to not forget about Official Sean

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Speaker 2: Parnell dot com. It's the one stop shop for all

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Speaker 2: things America first news, specifically cultivated for you, the Battle Crew,

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Speaker 2: people who watch this show. It's it's dedicated for you,

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Speaker 2: So don't forget about Official Seanparnell dot com. And also

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Speaker 2: my locals. There's a subscription option. I would love to

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Speaker 2: have you subscribe, but if not, just come on and

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Speaker 2: follow over on locals. We're building out what I think

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Speaker 2: is going to be a very special platform over there,

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Speaker 2: so don't forget about that, folks. Before we get to

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Speaker 2: Savage Rich, because he and I have a lot to

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Speaker 2: talk about big data poll Savage Rich has got new

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Speaker 2: polls out from Michigan in Pennsylvania, hot off the presses.

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Speaker 2: We're bringing him here to you tonight, very excited to

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Speaker 2: do that. But I just have to say, did you

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Speaker 2: see that the FBI revised their crime stats up? This is,

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Speaker 2: to me is a huge deal. Democrats said in a

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Speaker 2: lot with their allies and the corporate media. By the way,

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Speaker 2: and I'm sure you saw this on the ABC debate

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Speaker 2: where they the ABC, I think David Muir said, well,

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Speaker 2: FBI crime dot's the crime host fallen. And Trump's like, nope, nope,

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Speaker 2: that's that's that's It's amazing what happens when you don't include,

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Speaker 2: you know, cities that don't report their crime. Well, guess what.

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Speaker 2: It turns out that President Trump was right. FBI revised

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Speaker 2: their crime tats up. They say, the legacy media, corporate media,

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Speaker 2: democrats said that it dropped two point one percent. Now

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Speaker 2: the FBI, along with all of those as clowns, admit

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Speaker 2: that crime actually rose by four point five percent. And

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Speaker 2: this exchange that I was talking about here it is.

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Speaker 2: Check it out. Crime is down all over the world

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Speaker 2: except here. Crime here is up and through the roof.

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Speaker 3: Despite their fraudulent statements that they made, crime in this

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Speaker 3: country is through the roof.

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Speaker 2: And we have a new form of crime. It's called

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Speaker 2: migrant crime.

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Speaker 3: And it's happening at levels that nobody thought possible.

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Speaker 2: And Trump, as you know, the FBI says overall violent

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Speaker 2: crime is actually coming down in this country.

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Speaker 3: But excuse me, the FBI defraud They were defrauding statements.

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Speaker 3: They didn't include the worst cities, they didn't include the

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Speaker 3: cities with the work.

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Speaker 2: So, I mean, he's absolutely right, and for those of

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Speaker 2: you who were, of course watching this show, you know

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Speaker 2: that he was right. But folks, it's fair to say

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Speaker 2: that the contract between citizen and government in this country

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Speaker 2: has been violated, right. I mean, our government lies to

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Speaker 2: us on the regular They have one responsibility to keep

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Speaker 2: us safe, maybe manage infrastructure and build keep roads functional.

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Speaker 2: This is the primary contract between citizen and government. What's

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Speaker 2: safe to say that they've completely blown that out of

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Speaker 2: the water. They facilitated an invasion of millions of people

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Speaker 2: across our southern border. They don't do a good job

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Speaker 2: at keeping us safe. In fact, they're the people who

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Speaker 2: are in charge of government right now. I think there's

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Speaker 2: a very very strong argument to be made that they

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Speaker 2: actually make our lives more dangerous, especially over the last

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Speaker 2: three years. Look at what's happening overseas. Their wars are

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Speaker 2: seemingly breaking out every month. It seems like that anyway.

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Speaker 2: So and now the government just does nothing but lie

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Speaker 2: to us. I mean, the crime stats is just one example.

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Speaker 2: But how about the economic stats? Right, all those stats

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Speaker 2: on the economy and job creation. We've talked about it

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Speaker 2: on this show. Something like twelve out of the last

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Speaker 2: fifteen months have been the job's numbers have been revised

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Speaker 2: down substantially from what was reported. There's a very very

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Speaker 2: serious problem in this country, and our elected leaders are

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Speaker 2: making it worse. They're obviously the Democrats are obviously a

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Speaker 2: main part of the problem. We also got Republicans that

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Speaker 2: are a part of the problem. The media amplifies this insanity,

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Speaker 2: and even after two assassination attempts, the Democrats despite this

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Speaker 2: unprecedented moment that we are living in, and I will

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Speaker 2: plant my flag on you know, here on this hill,

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Speaker 2: and just again for people who might be listening for

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Speaker 2: the first time, I truly believe the next ninety days

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Speaker 2: in this country will be the most dangerous that I've

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Speaker 2: experienced in my lifetime here in America. Because if Trump wins,

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Speaker 2: he doesn't take office until January of twenty twenty six.

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Speaker 2: You still, you know Joe Biden, who's an animated corpse there,

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Speaker 2: Kamala Harris as vice president would have to certify Trump's selection.

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Speaker 2: The left will go apoplectic. Who the hell knows what

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Speaker 2: they will do in that ninety day window when Trump

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Speaker 2: doesn't have power. They've already said that, They've already been

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Speaker 2: willing to show that that committing violence is not beneath

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Speaker 2: them to stop Trump from getting into power. So I

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Speaker 2: believe that these next ninety days are going to be

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Speaker 2: critical for this country. I mean, listen to what Joe

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Speaker 2: Biden was saying about the lawfare that his Department of

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Speaker 2: Justice has been waging against Donald Trump. Look what he

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Speaker 2: said about potentially Trump going to jail, the same.

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Speaker 4: Guy who's three other major cases waiting for him and

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Speaker 4: he loses. And by the way, thirty four felonies so far,

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Speaker 4: he had good sentence, he got the sentence kicked back.

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Speaker 4: But I want to watch that sentence. Well, Donald Trump's

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Speaker 4: not running here, he's running for himself. I think he's

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Speaker 4: running a stand of jail.

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Speaker 2: The guy's a sicko. I'm sorry. These Democrat comedies are psychopaths.

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Speaker 2: I firmly believe that, and I know that Savage Rich

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Speaker 2: has said this before in the show. I've said it

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Speaker 2: before that if Trump loses, they will not hesitate to

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Speaker 2: send him for life and send him to jail for

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Speaker 2: the rest of his life. Biden is talking about celebrating

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Speaker 2: a sentence that he knows. That's the thing about all

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Speaker 2: of this, folks. He knows that these charges leveled against

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Speaker 2: Trump are complete bullshit. He knows that he's the one

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Speaker 2: that is pushing them for his administration. He knows that

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Speaker 2: all of this is a setup. Yet here he is

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Speaker 2: celebrating it publicly. Anyway, next ninety days in this country

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Speaker 2: are gonna be absolutely critical. Okay, we got Savage Rich

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Speaker 2: Barris on deck. We got Savage Rich Barris here, director

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Speaker 2: of Big Data poll host of Inside the Numbers. Also

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Speaker 2: my great friend Savage Rich. What's going on, my friend?

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Speaker 5: Yeah, it was actually while I was waiting, I was

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Speaker 5: just doing someone like dumbbell workouts. When you're stuck in

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Speaker 5: the office. Is as long as I am during election season,

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Speaker 5: you gotta bring the dumbells with you.

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Speaker 2: You know, it's funny that first funny that you say this,

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Speaker 2: because yesterday on the show, like so I am trying

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Speaker 2: to cobble together a gym on the cheap, and I

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Speaker 2: told people this story and I won't go into it,

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Speaker 2: but I learned, like I had a very serious injury

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Speaker 2: a couple of years ago. I've been super out of

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Speaker 2: shape since then. It's just been hard for me to

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Speaker 2: get back into it. But I realized during that assassination

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Speaker 2: attempt on President Trump, when we were wheeling wheelchairs out

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Speaker 2: out and in, out and in, like, are you ready, brother,

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Speaker 2: I was absolutely smoked. I was absolutely smarting. I'm like,

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Speaker 2: you know what I tell people all the time on

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Speaker 2: the show, you know, being hard to kill, Like that's

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Speaker 2: your that's your life's mission, be hard to kill. And

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Speaker 2: of course it means like learning to operate a firearm,

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Speaker 2: having ammunition on hand, you know, learning non lethal measures.

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Speaker 2: But it also means being well read. It also means

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Speaker 2: having survival food, you know, three months supply of water.

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Speaker 2: It also means having good relationships with community leaders and

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Speaker 2: your neighbors and having a plan. But I'm thinking, like

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Speaker 2: I say this stuff all the time, but I don't.

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Speaker 2: I got to actually live it, right. So I started

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Speaker 2: working out yesterday and oh my god, just kicked my ass.

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Speaker 2: And I did legs today and I'm telling you, at the.

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Speaker 5: End of the show, I.

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Speaker 2: Probably won't go to stand up man. I like, it's

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Speaker 2: I'm pathetic.

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Speaker 5: We're supposed to be going to the Spirit of Halloween

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Speaker 5: store after the show. It's there. I gotta take a break.

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Speaker 5: I gotta go do something. You know, what are you

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Speaker 5: gonna be for? Hello, I'm always a vampire. I'm like

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Speaker 5: always skin is pale enough.

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Speaker 2: That's a good telling you.

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Speaker 5: Everybody on my show is like, this is Sean's camera

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Speaker 5: or something.

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Speaker 2: I do not look like this. I don't understand what.

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Speaker 2: Look at this complexion. Look at this complexion juxtaposed to yours.

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Speaker 5: Bro, I'm telling you, have you man, I'm on every

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Speaker 5: TV channel in the friggin world. I don't look like this.

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Speaker 2: What the hell?

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Speaker 5: You know what it may be? This is my theory.

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Speaker 5: It's the lighting, because the LED lights are like watch

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Speaker 5: so they're like really white.

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Speaker 2: Like whoa, whoa, whoa yeah, and uh.

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Speaker 5: I think at this time of day when the sun

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Speaker 5: comes down, it's the only thing hitting me because look,

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Speaker 5: the one is off on this side, so you can

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Speaker 5: see there's more light here. Watch this all right? Yeah,

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Speaker 5: so now I look like normal, like a little bit better.

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Speaker 5: I think it's the loay the light comes in at

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Speaker 5: this time of day. Damn, I look dead and I

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Speaker 5: got really cool code I got uh, I got things.

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Speaker 2: That you're gonna have a caller that pops up.

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Speaker 5: No, no, no, man, I'll show you. I'll show you

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Speaker 5: all rocket next week.

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Speaker 2: You've got to come on dressed up like a vampire

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Speaker 2: with the electric guitar.

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Speaker 5: Brother. I got the teeth that I got to give.

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Speaker 5: Make sure I got more of the molding stuff. I

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Speaker 5: got teeth that fit on my teeth. So does Laura

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Speaker 5: and her teeth entertaining. So they're like this big.

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Speaker 2: She's gonna be a vampire too.

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Speaker 5: She usually is every year as well. She's like the

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Speaker 5: sexiest vampire alive.

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Speaker 2: Get it? Yeah there, okay, okay, So what are the

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Speaker 2: kids gonna be? Do you wait? I have a question,

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Speaker 2: So not to not to go off on a tangent

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Speaker 2: for folks who are listening, this is just what we do.

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Speaker 2: Do you dress up as family themes? Like in other words,

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Speaker 2: like is everybody gonna be like dress up from Mario

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Speaker 2: brothers or an event event said.

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Speaker 5: That my oldest was Mario and his best friend with

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Speaker 5: Luigi last year and it was crazy because they both

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Speaker 5: playing a band and they had they wanted to dress

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Speaker 5: up and do their Halloween things while they were playing.

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Speaker 5: And I caught them. I was like, all right, guys,

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Speaker 5: get together, you know. And they jumped both like right,

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Speaker 5: and I caught them perfectly in the air, or really,

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Speaker 5: Laura at it perfectly in the air doing the Mario

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Speaker 5: jump you normally, we haven't done that in a long time.

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Speaker 5: My little one wants to be a star, like a legit,

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Speaker 5: like a Christmas star, like the Star of Bethlehem, which

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Speaker 5: is kind of crazy. Is five. I'm like, all right,

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Speaker 5: that's weird, but okay, no, I think it's cool. I

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Speaker 5: just it's different. It's you know, who's ever heard of

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Speaker 5: that before? And I got them. I think we know

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Speaker 5: we're gonna Laura.

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Speaker 2: People in the live chatter saying that you should dress

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Speaker 2: like a vampire for all your episodes when you do polling,

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Speaker 2: just just to set yourself apart, just like I.

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Speaker 5: Think I did dress up one year, didn't I Frans numbers?

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Speaker 5: Are you sure I'm ever every year I'm a vampire?

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Speaker 2: Uh?

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Speaker 5: Maybe I wore like Christmas sweaters or something, that's right.

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Speaker 5: I wore ugly Christmas sweaters. Cava got open that door.

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Speaker 5: It's getting a million degrees in here time.

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Speaker 2: But uh, you're just getting exposed to sunlight. Maybe it's

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Speaker 2: just too much sun is getting in you. Maybe you

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Speaker 2: always dress up as a vampire because you really are,

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Speaker 2: and that's why your skin is so translucent during the

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Speaker 2: day in daylight. It's the damn lighting.

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Speaker 5: Anyway, You think I need more vitamin D anyway, which

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Speaker 5: I do.

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Speaker 2: I do need people and the people in the chat,

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Speaker 2: people in the chat are like, sure, Rich, it's the light.

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Speaker 5: Watch inside the numbers come on anyway, blasted and just

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Speaker 5: setting on the camera today and obviously it's just not working.

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Speaker 5: Like it's just like I don't believable, unbelievable.

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Speaker 2: You're very You're very to you about this.

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Speaker 5: You're very because you know what it is. I am

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Speaker 5: not as dark as I used to be when I

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Speaker 5: was younger. My grandfather, I mean it was like the

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Speaker 5: dark Italian you know, my Greek side is actually the

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Speaker 5: sign that was whiter. My dad's dark, you know, so

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Speaker 5: like I always was. But I am stuck. I am,

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Speaker 5: it is true, stuck in this office way too much.

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Speaker 2: I know you're upholster. I I I imagine I imagine

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Speaker 2: you're like constantly pouring over data. Yeah, it's so speaking

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Speaker 2: of speaking of the data, Yeah, do you think of

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Speaker 2: these NBI crime stats? First, I'll tell you why. I'll

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Speaker 2: tell you what I'm surprised about. I'm not surprised that

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Speaker 2: that they were that they were revised up, because anyone

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Speaker 2: that that's paying attention knows that the country is a

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Speaker 2: hell of a lot more dangerous under Harris Biden. But like,

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Speaker 2: what I am surprised about is that it came out

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Speaker 2: before election day.

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Speaker 5: Yeah, but they figured they got it. They figured that

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Speaker 5: it's already imprinted. It's how the human mind works. A

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Speaker 5: little bit hard to now reverse an entire year plus

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Speaker 5: the narrative that they have been pushing. Joe Biden's been

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Speaker 5: pushing this for like over a year when he knew

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Speaker 5: he would have to run. Listen, if you think that

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Speaker 5: was an accident, you're sailing mistaken. They have lied about

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Speaker 5: economic data. They lied, They've lied about a president elect colluding.

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Speaker 5: They even fabricated away. They didn't even fabricate that word.

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Speaker 5: They took that word from the alternative right and alternative

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Speaker 5: media who used the word colluding to refer during the

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Speaker 5: wikileague drops as the relationship between the media and the

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Speaker 5: Democratic Party. So they then took that word and they

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Speaker 5: spun it into what they wanted it to be with

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Speaker 5: the Russia collusion hoax. So you know, it takes time.

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Speaker 5: I mean, they'll lie about anything. So if you don't

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Speaker 5: think they'll lie about your crime stats or even whether

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Speaker 5: an election was legitimate or not, like you know one

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Speaker 5: we may know in recent memory, then you have another

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Speaker 5: thing coming. Like they are liars and we cannot have

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Speaker 5: a funk. I talked about this on the show earlier today.

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Speaker 5: This is like between them and the media, and especially

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Speaker 5: the media because they're supposed to be the guardians of

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Speaker 5: this BS exactly must be destroyed. The media must be

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Speaker 5: destroyed and then resurrected, rebuilt in the image of what

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Speaker 5: our media was beginning of this country.

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Speaker 2: Listen, I listen. I am fully on board with the

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Speaker 2: idea of the media like talking about a political perspective

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Speaker 2: and pushing you know, a liberal talk pet media. I'm

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Speaker 2: completely fine with that. But what CBS. We talked about

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Speaker 2: this in the show.

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Speaker 5: Yes, and to be credible, then they are an impartial

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Speaker 5: that's the laws.

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Speaker 2: But also rich beyond that, it's gotten to a point

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Speaker 2: where they are editing clips. Yes, make Republicans look stupid.

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Speaker 2: They did it with the Speaker of the House. I

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Speaker 2: mean it was. And what I explained to people is like,

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Speaker 2: you know, when you do interviews like that, sometimes they

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Speaker 2: will edit for but what they're doing is at a

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Speaker 2: polytical narrative and it's almost rich at that point. To me,

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Speaker 2: that's not free speech. To me, that's fraud. I mean,

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Speaker 2: they are defrauding the American people.

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Speaker 5: Sean, there could be multiple charges. It's fraud. And you've

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Speaker 5: run for office before you know what that is. That's

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Speaker 5: an in kind campaign contribution.

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Speaker 2: That's another great point that I cut for a.

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Speaker 6: Candidate, and I need it for free. Guess what I'm

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Speaker 6: getting charged? All right, They're coming after me. That's one

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Speaker 6: hundred percent true. By the way, For people who are wondering,

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Speaker 6: like if that's called it for free, yes, if you're

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Speaker 6: like if you're flying someone in a jet somewhere for

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Speaker 6: free or giving people, yeah, you'll get they come after

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Speaker 6: you for that.

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Speaker 2: For ra officeholders, you can't do that.

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Speaker 5: No, you cannot do this. And that's what the media does.

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Speaker 5: And I'm fine with them pushing a point of view

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Speaker 5: as well. In the beginning of our republic. Of course,

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Speaker 5: we have what was referred to as a party media,

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Speaker 5: and that is you know, Jefferson has his media outlet,

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Speaker 5: you know, is group of Republicans, Democratic Republicans, whatever that are,

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Speaker 5: by the way, the early predecessor of the New York Times,

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Speaker 5: and they push their their form of the you know,

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Speaker 5: their opinions and their agenda. And then you add the Federalists,

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Speaker 5: who ironically are the early form of the New York Posts.

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Speaker 5: They just kind of switch somewhere along the way and

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Speaker 5: they push their agenda and their point of view. And

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Speaker 5: the point was, we are not going to pretend that

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Speaker 5: we're impartial. We're not going to cast this fraud on you.

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Speaker 5: We're not going to perpetrate a fraud on the public.

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Speaker 5: We're gonna make the fraud full of the public fully

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Speaker 5: understands where that we have a point of view and

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Speaker 5: we're pushing an agenda in a point of view. And

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Speaker 5: then guess what we argue about it in the taverns.

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Speaker 5: Together we have a couple of beers and discuss it

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Speaker 5: and thoroughly debate it, and then we make a decision

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Speaker 5: as a country as to which way is the best way.

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Speaker 5: To move forward. That's how it's done. What you're talking

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Speaker 5: about now is exactly what you said, is exactly right.

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Speaker 5: This is a scam, this is a fraud, and it's illegal,

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Speaker 5: and it's bottom line, it's absolutely illegal. Freedom the press,

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Speaker 5: let me blow your mind and Dana Bash's mind and

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Speaker 5: everyone else's mind. Freedom in the press is not what

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Speaker 5: we think it is today. That is not what they

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Speaker 5: were talking about. Freedom and the press is not your

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Speaker 5: right to just say anything and report on politicians and

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Speaker 5: make up bullshit and go forward and do whatever you

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Speaker 5: want and help one political party. And that is not

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Speaker 5: what it meant. We can go through a whole like

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Speaker 5: list one episode. We probably should of like giving people

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Speaker 5: a history lesson on what the First Amendment really is,

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Speaker 5: but it is not how they describe it and what

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Speaker 5: we've made it out to be today. That is not

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Speaker 5: what the founder's intended. Sorry, you don't get a free pass.

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Speaker 5: It doesn't give you a free pass to just do

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Speaker 5: whatever you want. It's not.

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Speaker 2: Sorry, I mean, rich, can you imagine?

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Speaker 5: Can you?

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Speaker 2: I mean, if you're a Republican candidate, I mean, think

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Speaker 2: about how bad this is. We've almost kind of normalized

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Speaker 2: this today. But if you're a Republican candidate and you're

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Speaker 2: sitting down to do an interview with ABC, CBS, CNN.

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Speaker 2: First of all, you have to be on guard. But

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Speaker 2: if you don't film the interview yourself, I mean, imagine

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Speaker 2: if Mike Johnson didn't film that himself, we would have

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Speaker 2: I they would have completely they would have completely edited

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Speaker 2: that interview to make Mike Johnson. And this isn't about

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Speaker 2: Mike Johnson. I'm not defending Mike Johnson. Didn't need me

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Speaker 2: to defend him. But my point is they would have

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Speaker 2: edited that interview to make him look like a moron

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Speaker 2: and give a false impression to the American people. And

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Speaker 2: they edited out substantial portions of that interview to make

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Speaker 2: it look like he wasn't presenting facts. That is fraud.

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Speaker 2: That is not that is not okay. That is not okay.

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Speaker 5: Look, Donald Trump, patu film is sixteen minutes interview in

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Speaker 5: twenty sixteen. Michael Cernovich how to film his own interview

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Speaker 5: in twenty sixteen when they tried to interview him and

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Speaker 5: make him out to be some troll and whatnot if

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Speaker 5: it wasn't And by the way, they edited it in

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Speaker 5: a way they thought was gonna make Mike look bad,

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Speaker 5: and they made him look like a genius who ran

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Speaker 5: circles around the media like they're so stupid they don't

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Speaker 5: even realize this sometimes, but unfortunately most times they do

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Speaker 5: do it in the gotcha moment. It does make you

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Speaker 5: look stupid anytime, you know PolitiFact, by the way, yeah,

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Speaker 5: I record you every time you call me like there's

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Speaker 5: no doubt. I mean, you have to do this to

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Speaker 5: protect yourself.

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Speaker 2: You have to do this.

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Speaker 5: And it's like, hey, by the way, just to let

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Speaker 5: you know, I'm recording everywhere you.

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Speaker 2: Say, yeah, I mean they're liars because there's scumbags there,

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Speaker 2: absolute stumbags. Are you real?

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Speaker 5: I watched Jim Costa once in Tampa, Florida pretend like

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Speaker 5: he was attacked by Trump supporters and then they were

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Speaker 5: going to get the camera out and pretend when they

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Speaker 5: were chanting CNN sucks that Jim was on the ground

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Speaker 5: and he was hurt because somebody like attacked him and

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Speaker 5: accosted him. I kid you not.

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Speaker 2: I got it all on camera. Laura and I.

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Speaker 5: It was the first one Laura had ever attended to,

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Speaker 5: and she was like, oh my god, does this happen

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Speaker 5: all the time? And they are particularly scummy in the

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Speaker 5: era of Trump. But yeah, they're they're bad pieces of shit. Yeah, sad,

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Speaker 5: but it's true.

432
00:22:48,960 --> 00:22:50,760
Speaker 2: So something caught my eye today and then I want

433
00:22:50,800 --> 00:22:52,240
Speaker 2: to jump I'm want to talk about this and I

434
00:22:52,320 --> 00:22:54,960
Speaker 2: want to jump into the polls. But Halpern sat down

435
00:22:55,160 --> 00:22:59,159
Speaker 2: with Mark Halpern sat down with Tucker Carlson, and he

436
00:22:59,400 --> 00:23:02,000
Speaker 2: talked about a lot of things that I think were

437
00:23:02,040 --> 00:23:04,880
Speaker 2: really interesting. Because I like Mark Alpern. I think he's

438
00:23:04,920 --> 00:23:06,359
Speaker 2: a I think he's a lefty. I don't know what

439
00:23:06,480 --> 00:23:08,720
Speaker 2: his political registration is, but I'm pretty.

440
00:23:08,440 --> 00:23:10,480
Speaker 5: Sure he's losing himself at Great.

441
00:23:10,560 --> 00:23:12,919
Speaker 2: I mean, yeah, he's he's left. I think he's a lefty.

442
00:23:15,400 --> 00:23:16,119
Speaker 5: Tell you the truth.

443
00:23:16,480 --> 00:23:18,400
Speaker 2: He really talks a lot. I want to get into

444
00:23:18,440 --> 00:23:22,040
Speaker 2: this with you here because he talked about Joe about

445
00:23:22,520 --> 00:23:24,280
Speaker 2: Mark Alpern. By the way, for people who don't know,

446
00:23:25,400 --> 00:23:28,680
Speaker 2: he called the coup three days before it happened in

447
00:23:28,760 --> 00:23:31,480
Speaker 2: the exact way that it happened. He has great sources

448
00:23:31,560 --> 00:23:35,840
Speaker 2: within the White House, and he's talking specifically to Tucker Carlson.

449
00:23:35,880 --> 00:23:37,520
Speaker 2: I want to there's two clips that I want to play,

450
00:23:37,560 --> 00:23:39,680
Speaker 2: but I want to first play you the one where

451
00:23:39,760 --> 00:23:43,359
Speaker 2: he's talking about Joe Biden's thoughts on Kamala Harris, and

452
00:23:43,480 --> 00:23:46,480
Speaker 2: he says what I've been saying, that the Democrats will

453
00:23:46,600 --> 00:23:50,000
Speaker 2: rue the day they chose Kamala Harris to replace Joe Biden,

454
00:23:50,040 --> 00:23:54,000
Speaker 2: because Joe Biden, he's an animated corpse, but he's a

455
00:23:54,680 --> 00:23:58,480
Speaker 2: even as an animated corpse, he's better than Kamala Harris.

456
00:23:59,320 --> 00:24:02,600
Speaker 2: And I think the Democrats are really regretting it. But

457
00:24:02,760 --> 00:24:07,119
Speaker 2: listen to how Halburn talks about how Joe Biden feels

458
00:24:07,160 --> 00:24:09,480
Speaker 2: about Kamala and whether or not she should or can

459
00:24:09,640 --> 00:24:10,240
Speaker 2: be president.

460
00:24:11,080 --> 00:24:13,760
Speaker 7: I reported it against my instincts because I did not

461
00:24:13,840 --> 00:24:15,960
Speaker 7: believe Joe Biden would give the nomination up. First of all,

462
00:24:16,160 --> 00:24:19,199
Speaker 7: it's embarrassing and you know, staying on his legacy as

463
00:24:19,280 --> 00:24:21,560
Speaker 7: much as they built it up as great for his legacy.

464
00:24:22,280 --> 00:24:25,000
Speaker 7: But also he believed that she would become the nominee

465
00:24:25,160 --> 00:24:28,040
Speaker 7: in all likelihood and that she could not be Donald Trump,

466
00:24:28,080 --> 00:24:30,639
Speaker 7: and that if somehow she didn't become the nominee. He

467
00:24:30,720 --> 00:24:32,879
Speaker 7: didn't think Kevin knew some regretsion wid where any of

468
00:24:32,880 --> 00:24:35,400
Speaker 7: these other people could beat Trump. And I think two

469
00:24:35,520 --> 00:24:39,040
Speaker 7: years ago Biden didn't think Kamala Harris could win or

470
00:24:39,160 --> 00:24:42,240
Speaker 7: be a good president, as I understand it. So he

471
00:24:42,440 --> 00:24:45,440
Speaker 7: was really yeah, he's he from the day from the

472
00:24:45,520 --> 00:24:48,800
Speaker 7: transition forward. He told Ron Playing and everyone else she

473
00:24:49,000 --> 00:24:51,879
Speaker 7: needs to meet with foreign leaders all the time, and

474
00:24:52,000 --> 00:24:54,399
Speaker 7: she did. I mean, she's had an unprecedented, you know,

475
00:24:54,560 --> 00:24:57,280
Speaker 7: kind of tutorial in that she needs to be you know,

476
00:24:57,520 --> 00:24:59,840
Speaker 7: supported and all that. We all know what happened. She

477
00:25:00,119 --> 00:25:03,560
Speaker 7: she did not run a good operation. There was leaking,

478
00:25:03,920 --> 00:25:07,480
Speaker 7: and her approval ratings were ridiculously low. What are the

479
00:25:07,640 --> 00:25:10,720
Speaker 7: donors who put her there think of all of this? Yeah,

480
00:25:11,000 --> 00:25:14,959
Speaker 7: so I'd say impressionistically because I haven't talked to them all,

481
00:25:15,040 --> 00:25:17,879
Speaker 7: but impressionistically about eighty percent of.

482
00:25:17,920 --> 00:25:19,280
Speaker 5: Them are just.

483
00:25:21,040 --> 00:25:23,000
Speaker 7: We got to look for the elections coming up. Trump

484
00:25:23,080 --> 00:25:26,360
Speaker 7: must lose. We have to do everything we can to help.

485
00:25:27,000 --> 00:25:32,680
Speaker 7: Twenty percent say, how could we possibly have replaced I?

486
00:25:32,960 --> 00:25:34,639
Speaker 7: We all said the only Democrat who could lose to

487
00:25:35,240 --> 00:25:38,120
Speaker 7: Donald Trump was Joe Biden. How could we have possibly

488
00:25:38,160 --> 00:25:41,120
Speaker 7: played a role in replacing him with apparently the only

489
00:25:41,200 --> 00:25:44,080
Speaker 7: other person who could lose to Donald Trump's She started

490
00:25:44,400 --> 00:25:47,760
Speaker 7: maneuvering for the nomination well before the Sunday morning when

491
00:25:47,920 --> 00:25:49,520
Speaker 7: he called her and said he was not going to run,

492
00:25:49,920 --> 00:25:53,480
Speaker 7: and part of that was vetting of potential running mates,

493
00:25:53,560 --> 00:25:56,399
Speaker 7: which her team knew that couldn't wait, that had to

494
00:25:56,440 --> 00:25:59,080
Speaker 7: get underway. That's something you know normally takes months. So

495
00:25:59,160 --> 00:26:00,520
Speaker 7: I got a tip that that is happening.

496
00:26:01,320 --> 00:26:04,520
Speaker 2: So a couple of things, Rich, I I told people

497
00:26:05,640 --> 00:26:08,840
Speaker 2: probably two or three weeks before Kamala was anointed, and

498
00:26:09,040 --> 00:26:11,200
Speaker 2: I agreed with Mark. I didn't think that it was

499
00:26:11,240 --> 00:26:12,840
Speaker 2: going to happen. I thought if it did happen, it

500
00:26:12,880 --> 00:26:14,800
Speaker 2: would have to be her for all the same reasons

501
00:26:14,840 --> 00:26:18,840
Speaker 2: that Mark laid out. But but we had started vetting,

502
00:26:18,960 --> 00:26:23,120
Speaker 2: she started vetting Shapiro while Joe was still president. I thought,

503
00:26:23,160 --> 00:26:27,199
Speaker 2: oh my god, Roy Cooper too. Yes, we talked about her.

504
00:26:27,520 --> 00:26:28,639
Speaker 5: Yeah, we talked about all of this.

505
00:26:29,200 --> 00:26:29,400
Speaker 4: Yeah.

506
00:26:29,400 --> 00:26:32,639
Speaker 5: And but I didn't think they were thinking she was

507
00:26:32,720 --> 00:26:34,719
Speaker 5: going to be able to pull it off either. I mean,

508
00:26:34,840 --> 00:26:35,200
Speaker 5: just cle.

509
00:26:35,480 --> 00:26:39,720
Speaker 2: Clearly, though, there's like Joe Biden, when Trump says he

510
00:26:39,880 --> 00:26:43,920
Speaker 2: really hates her. Speaking of Biden, I think, like most

511
00:26:44,080 --> 00:26:48,040
Speaker 2: other things, Trump is exactly right. I think Biden. I've

512
00:26:48,080 --> 00:26:50,720
Speaker 2: been saying on the show Rich that I think Biden,

513
00:26:50,880 --> 00:26:52,920
Speaker 2: in his own way, is trying to screw her over

514
00:26:53,080 --> 00:26:55,960
Speaker 2: by saying things like Governor DeSantis is doing a great job.

515
00:26:56,200 --> 00:27:00,840
Speaker 2: Things like that. You know, I I don't know, man like,

516
00:27:00,920 --> 00:27:03,959
Speaker 2: I think he's really pissed off at Kamala. I think

517
00:27:04,119 --> 00:27:06,880
Speaker 2: I don't think that Biden cares whether she wins or loses.

518
00:27:07,280 --> 00:27:08,359
Speaker 2: What do you think about all this?

519
00:27:08,760 --> 00:27:10,840
Speaker 5: He goes on to say that he thinks that Joe

520
00:27:11,000 --> 00:27:12,840
Speaker 5: does want her to win. He's just not going to

521
00:27:13,040 --> 00:27:15,359
Speaker 5: like me. A huge helped her and that privately. And

522
00:27:15,520 --> 00:27:17,800
Speaker 5: this is the way campaigns are, folks. It doesn't mean

523
00:27:17,840 --> 00:27:21,400
Speaker 5: they're distancing well, it doesn't mean they dislike each other,

524
00:27:21,800 --> 00:27:23,520
Speaker 5: but they do say do what you have to do.

525
00:27:24,800 --> 00:27:27,760
Speaker 5: But notice there's a reason she's not distancing herself from

526
00:27:27,840 --> 00:27:30,920
Speaker 5: Joe Biden. And I think that's because she knows she's

527
00:27:31,000 --> 00:27:33,680
Speaker 5: on thin ice with him. He could end her today.

528
00:27:34,160 --> 00:27:38,840
Speaker 5: You know that he could end her today. I gotta say, though,

529
00:27:38,960 --> 00:27:41,080
Speaker 5: I think he's in a point in his age. His

530
00:27:41,280 --> 00:27:44,199
Speaker 5: legacy is ruined. He's going to become the only president

531
00:27:44,240 --> 00:27:47,119
Speaker 5: who was removed because he was senile. You know from me.

532
00:27:47,400 --> 00:27:50,520
Speaker 5: He won his own party's nomination and then he was

533
00:27:50,640 --> 00:27:52,840
Speaker 5: usurped by his vice president. He's going to be a

534
00:27:52,920 --> 00:27:56,200
Speaker 5: laughingstock in the history books. I don't know how on

535
00:27:56,480 --> 00:27:59,080
Speaker 5: earth you could support the person who did. And this

536
00:27:59,160 --> 00:28:00,800
Speaker 5: is why Trump, you know, I think his instincts are

537
00:28:00,880 --> 00:28:04,040
Speaker 5: right here. No matter what Biden says and Team Biden says,

538
00:28:04,359 --> 00:28:06,280
Speaker 5: there is no way as a man, John and Joe

539
00:28:06,320 --> 00:28:08,560
Speaker 5: Biden's old school still like you and I, he is,

540
00:28:09,080 --> 00:28:10,959
Speaker 5: and there's no way that as a man he can

541
00:28:11,040 --> 00:28:12,520
Speaker 5: go home and look at himself in the mirror in

542
00:28:12,560 --> 00:28:14,399
Speaker 5: the residency of the White House every day and be

543
00:28:14,440 --> 00:28:16,159
Speaker 5: proud of the man he is. He was made a

544
00:28:16,240 --> 00:28:18,360
Speaker 5: full of his wife, made a fool out of him,

545
00:28:18,560 --> 00:28:20,119
Speaker 5: she drug him out. At least he got to be

546
00:28:20,160 --> 00:28:23,080
Speaker 5: elected president. I don't know what the consolation prize is there,

547
00:28:23,359 --> 00:28:25,720
Speaker 5: but they were, you know, I mean, it's basically elder abuse.

548
00:28:25,840 --> 00:28:29,280
Speaker 5: They used him, The Democratic Party used him like a bitch,

549
00:28:29,480 --> 00:28:32,440
Speaker 5: I'm sorry, just to get Donald Trump in twenty twenty

550
00:28:32,680 --> 00:28:35,280
Speaker 5: and then to and then tossed him aside like a

551
00:28:35,720 --> 00:28:40,080
Speaker 5: like a an unwanted raggedy dog with with with like

552
00:28:40,360 --> 00:28:44,040
Speaker 5: scurvy or something. I don't even know, Man Kirby, I'm

553
00:28:44,120 --> 00:28:46,320
Speaker 5: telling you, you know, I mean, they just what how

554
00:28:46,400 --> 00:28:47,680
Speaker 5: they treated him as awful?

555
00:28:47,760 --> 00:28:50,320
Speaker 2: Wait, what is Scurvy's like a lack of vitamin C.

556
00:28:50,640 --> 00:28:54,360
Speaker 2: Is this dog a sailor a sailor? Yeah, side the

557
00:28:54,480 --> 00:28:55,320
Speaker 2: sailor dog.

558
00:28:55,280 --> 00:28:58,360
Speaker 5: Man, I'm telling you the disgusting dogships back then, okay,

559
00:28:59,600 --> 00:29:02,160
Speaker 5: And Joe Biden was around for that shit, all right.

560
00:29:02,800 --> 00:29:05,480
Speaker 5: You remember he came over on the mayflot with this guy,

561
00:29:05,760 --> 00:29:12,280
Speaker 5: all right, with the Catholic version of the Puritans. All right, man,

562
00:29:12,400 --> 00:29:14,400
Speaker 5: But I'll tell you, I mean, if you're him as

563
00:29:14,480 --> 00:29:16,480
Speaker 5: a man, I don't know how you live with yourself.

564
00:29:16,600 --> 00:29:19,360
Speaker 5: You were absolutely used and abused, and there's no way

565
00:29:19,440 --> 00:29:21,560
Speaker 5: he gets your lead for that. Let's get real. And

566
00:29:21,680 --> 00:29:24,720
Speaker 5: he's been around long enough to know. I don't think

567
00:29:24,840 --> 00:29:28,800
Speaker 5: Joe Biden believes the nonsense, his own nonsense that he pulls.

568
00:29:28,840 --> 00:29:31,800
Speaker 5: You played the clip before. Joe Biden knows damn well

569
00:29:31,880 --> 00:29:33,920
Speaker 5: that he went out to a microphone a year before

570
00:29:34,000 --> 00:29:36,120
Speaker 5: Donald Trump ever announced he was gonna run, and he

571
00:29:36,360 --> 00:29:39,200
Speaker 5: himself said into the microphone that they would use whatever

572
00:29:39,360 --> 00:29:42,000
Speaker 5: power at their disposal they needed they had at their

573
00:29:42,040 --> 00:29:45,240
Speaker 5: disposal to stop this man from ever being president again,

574
00:29:45,640 --> 00:29:48,480
Speaker 5: to include what of obviously the Department of Justice. So

575
00:29:48,800 --> 00:29:51,120
Speaker 5: Donald Trump announced he was going to run for president

576
00:29:51,240 --> 00:29:53,280
Speaker 5: after he was being indicted. I mean before he was

577
00:29:53,320 --> 00:29:56,120
Speaker 5: being indicted, not after. I mean, so it's like this

578
00:29:56,280 --> 00:29:59,160
Speaker 5: idea like he's running to stay out of jail. He's

579
00:29:59,280 --> 00:30:01,640
Speaker 5: ridiculous because he didn't know he was going to jail.

580
00:30:01,640 --> 00:30:03,960
Speaker 5: When her What a great point.

581
00:30:04,440 --> 00:30:07,800
Speaker 2: That's right, great, Yes, that's actually I say that again,

582
00:30:07,920 --> 00:30:08,840
Speaker 2: that's a great point.

583
00:30:09,040 --> 00:30:11,760
Speaker 5: Donald Trump announced he was running for president before he

584
00:30:11,880 --> 00:30:14,480
Speaker 5: was under indictment, or before he even realized that the

585
00:30:14,880 --> 00:30:17,400
Speaker 5: back and forth between his team and the Justice Department

586
00:30:17,440 --> 00:30:20,960
Speaker 5: and the National the Archives, the presidential archives were going

587
00:30:21,040 --> 00:30:23,440
Speaker 5: to end up national archives, We're going to end up

588
00:30:23,480 --> 00:30:25,640
Speaker 5: in an indictment. He thought it was a normal back

589
00:30:25,680 --> 00:30:28,640
Speaker 5: and forth process that every president is afforded, by the way,

590
00:30:28,920 --> 00:30:31,280
Speaker 5: including Barack Obama, who had tons of stuff he wasn't

591
00:30:31,320 --> 00:30:33,760
Speaker 5: supposed to have. Joe Biden had tons of stuff in

592
00:30:33,840 --> 00:30:36,120
Speaker 5: a trunk of a car that he wasn't supposed to have,

593
00:30:36,160 --> 00:30:39,040
Speaker 5: and he wasn't even president, all right, So he had

594
00:30:39,160 --> 00:30:41,880
Speaker 5: no idea that they would twist the Presidential Records Act

595
00:30:42,120 --> 00:30:46,960
Speaker 5: to turn into an indictment. Now after he was After

596
00:30:47,040 --> 00:30:49,280
Speaker 5: he did leave the White House in twenty one and

597
00:30:49,600 --> 00:30:51,960
Speaker 5: went back, there were of course, talks apparently with his

598
00:30:52,040 --> 00:30:55,160
Speaker 5: advisors and they said, you know, lay Low, you know,

599
00:30:55,360 --> 00:30:57,400
Speaker 5: we know that there's lawfair coming. But they didn't know

600
00:30:57,520 --> 00:30:59,280
Speaker 5: it was going to be like that. John, They did.

601
00:30:59,440 --> 00:31:02,400
Speaker 5: Come on, who who could have foreseen this kind of crap?

602
00:31:02,600 --> 00:31:07,080
Speaker 5: I mean, honestly, So he was running again for other reasons.

603
00:31:07,240 --> 00:31:07,440
Speaker 2: You know.

604
00:31:08,240 --> 00:31:10,720
Speaker 5: Look, I remember in twenty fifteen, I don't know. I

605
00:31:10,800 --> 00:31:13,520
Speaker 5: wonder if he I'm sure he does. In twenty fifteen

606
00:31:13,800 --> 00:31:16,440
Speaker 5: at a sea pack, which I hate going to. I

607
00:31:16,480 --> 00:31:20,240
Speaker 5: hate going to political activists convention, right, but I wanted

608
00:31:20,280 --> 00:31:22,400
Speaker 5: to go because it's my job to see what's going

609
00:31:22,440 --> 00:31:24,760
Speaker 5: on with the party and who's going to nominate who

610
00:31:24,760 --> 00:31:26,360
Speaker 5: I'm trying to get a pulse of what's going on.

611
00:31:27,200 --> 00:31:29,120
Speaker 5: Donald Trump goes up there and he's got no big

612
00:31:29,240 --> 00:31:31,320
Speaker 5: name right now other than being Donald Trump. And he

613
00:31:31,400 --> 00:31:33,640
Speaker 5: gets up on the stage and it's usually you know,

614
00:31:33,720 --> 00:31:35,920
Speaker 5: it is a seapac half fol during that time of

615
00:31:35,920 --> 00:31:38,160
Speaker 5: the day. And he gets up there and he says,

616
00:31:38,240 --> 00:31:39,680
Speaker 5: you know, I've been always you know, I've flirted with

617
00:31:39,760 --> 00:31:44,680
Speaker 5: running for president before. But this country cannot handle another Bush,

618
00:31:45,080 --> 00:31:50,400
Speaker 5: another Clinton, like it cannot be the usual suspects who

619
00:31:50,440 --> 00:31:52,720
Speaker 5: have been running this country into the ground for decades.

620
00:31:53,120 --> 00:31:58,120
Speaker 5: So I mean, I I'm being serious in earnest here

621
00:31:58,480 --> 00:32:01,720
Speaker 5: considering running for present. And I remember him saying that,

622
00:32:02,280 --> 00:32:05,080
Speaker 5: and like that was the takeaway from me, like he's

623
00:32:05,120 --> 00:32:07,760
Speaker 5: going to do it this time. This guy was deadly serious.

624
00:32:08,560 --> 00:32:10,360
Speaker 5: You could say what you want about Donald Trump, but

625
00:32:10,400 --> 00:32:12,480
Speaker 5: this guy really just does run for president because he

626
00:32:12,560 --> 00:32:16,760
Speaker 5: loves the country. That is one hundred percent. You cannot

627
00:32:16,840 --> 00:32:19,920
Speaker 5: say that about any other politician. I've met so many

628
00:32:20,040 --> 00:32:22,880
Speaker 5: of them. They all have their own agenda. Trump has

629
00:32:24,480 --> 00:32:27,000
Speaker 5: what he's building his brand up. He's trying to get rich.

630
00:32:27,560 --> 00:32:31,880
Speaker 5: He risked his wealth and his freedom to run for president.

631
00:32:31,960 --> 00:32:34,040
Speaker 5: The guy is really the only guy in my lifetime

632
00:32:34,040 --> 00:32:36,600
Speaker 5: who decided to run for president because he was truly

633
00:32:36,640 --> 00:32:39,120
Speaker 5: concerned about the country and thought that he was he

634
00:32:39,200 --> 00:32:43,560
Speaker 5: would do a better job. And you know, I think

635
00:32:43,600 --> 00:32:45,360
Speaker 5: we're at a point because the swamp is so deep,

636
00:32:45,440 --> 00:32:47,440
Speaker 5: it runs so deep. I think we're at a point

637
00:32:47,520 --> 00:32:49,880
Speaker 5: now where a guy or a woman has to be

638
00:32:50,160 --> 00:32:55,320
Speaker 5: independently wealthy and able to withstand the pressure from all

639
00:32:55,480 --> 00:32:59,000
Speaker 5: ends that comes with this job, and also able to

640
00:32:59,080 --> 00:33:02,719
Speaker 5: fund large yourself, which he did in sixteen. And when

641
00:33:02,760 --> 00:33:05,440
Speaker 5: he did take money from people, it was only after

642
00:33:05,560 --> 00:33:07,800
Speaker 5: he put him in a position where he didn't need

643
00:33:07,880 --> 00:33:09,600
Speaker 5: them and he would be able to sit down with

644
00:33:09,680 --> 00:33:11,280
Speaker 5: them and say, sure, you want to donate to me,

645
00:33:11,400 --> 00:33:13,520
Speaker 5: that's fine. You can help me, but I don't need shit,

646
00:33:13,800 --> 00:33:15,000
Speaker 5: and I'm not promising you shit.

647
00:33:15,080 --> 00:33:17,280
Speaker 2: I mean we were, Melanie and I heard it. I

648
00:33:17,320 --> 00:33:20,640
Speaker 2: mean we were watching old debate clips of him and

649
00:33:21,000 --> 00:33:23,600
Speaker 2: of when you know the special interests in Jeb donors

650
00:33:23,640 --> 00:33:25,960
Speaker 2: were in the audience booing him. Oh, He's like, you

651
00:33:26,040 --> 00:33:28,000
Speaker 2: know why they're you know why they're booing me. Look

652
00:33:28,160 --> 00:33:30,000
Speaker 2: at the camera to the American people. I couldn't get

653
00:33:30,000 --> 00:33:31,920
Speaker 2: the American people in here to get tickets because there's

654
00:33:31,960 --> 00:33:34,000
Speaker 2: all these special interests and donors. But you know why

655
00:33:34,040 --> 00:33:36,240
Speaker 2: they're booing me because I don't need their money. I'm

656
00:33:36,280 --> 00:33:38,000
Speaker 2: not going to be beholden to them. I'm gonna be

657
00:33:38,080 --> 00:33:40,880
Speaker 2: beholden to you. And I was like, damn, Like this guy,

658
00:33:41,920 --> 00:33:44,160
Speaker 2: there's a reason why he gets hit with traffic on

659
00:33:44,280 --> 00:33:46,360
Speaker 2: both sides. There's a reason why they don't want him

660
00:33:46,400 --> 00:33:48,680
Speaker 2: back in there because he's not part of the uniparty.

661
00:33:48,920 --> 00:33:51,960
Speaker 2: He's and I think they loathe him Rich Trump. I

662
00:33:52,000 --> 00:33:56,800
Speaker 2: think they loathed Trump because he rejected elitism, He rejected

663
00:33:56,880 --> 00:33:59,640
Speaker 2: that on Democrat and Republicans, and he walked away from

664
00:33:59,680 --> 00:34:01,760
Speaker 2: all of it. And like you said, I think perfectly

665
00:34:02,320 --> 00:34:05,480
Speaker 2: he risked his name, his brand, his money, his legacy

666
00:34:05,560 --> 00:34:08,600
Speaker 2: to do all this. And the only the only reason

667
00:34:08,840 --> 00:34:11,719
Speaker 2: that anyone with half a brain could surmise why the

668
00:34:11,800 --> 00:34:14,560
Speaker 2: guy's actually running for president is because he loves the country.

669
00:34:14,600 --> 00:34:14,840
Speaker 2: That's it.

670
00:34:15,400 --> 00:34:17,800
Speaker 5: The idea that it's some kind of ego trip is

671
00:34:17,960 --> 00:34:22,680
Speaker 5: just absolutely intellectually lazy, intellectually dishonest.

672
00:34:22,960 --> 00:34:23,120
Speaker 2: Yea.

673
00:34:23,760 --> 00:34:25,800
Speaker 5: Not only did he risk that, he risked his liberty,

674
00:34:25,960 --> 00:34:29,680
Speaker 5: he risked his family. You know, I remember that debate exact.

675
00:34:29,760 --> 00:34:32,120
Speaker 5: I wholeheartedly remember it like it was yesterday. And I

676
00:34:32,239 --> 00:34:34,440
Speaker 5: do because I had a friend who was in the audience.

677
00:34:34,520 --> 00:34:37,240
Speaker 5: His dad is a donor, big donor. They got tickets.

678
00:34:37,280 --> 00:34:39,320
Speaker 5: He was in the audience, and he sent me a

679
00:34:39,719 --> 00:34:42,919
Speaker 5: cell phone. He took a picture with his cell phone,

680
00:34:42,960 --> 00:34:44,879
Speaker 5: turned around real quick and was like click, and took

681
00:34:44,920 --> 00:34:47,120
Speaker 5: a picture of all of the donors, and he said,

682
00:34:47,160 --> 00:34:49,560
Speaker 5: look at this crowd. He's like, I guarantee you people

683
00:34:49,560 --> 00:34:52,440
Speaker 5: are cheering at the television, but look at who is

684
00:34:52,520 --> 00:34:54,840
Speaker 5: here right now, and that's why you're hearing the reaction

685
00:34:54,960 --> 00:34:58,239
Speaker 5: you're hearing, and it was totally on, you know, I mean,

686
00:34:58,280 --> 00:34:59,680
Speaker 5: he was spot on, spot on.

687
00:35:00,040 --> 00:35:02,760
Speaker 2: All right, so let's talk. Let's talk about your polling

688
00:35:02,760 --> 00:35:05,120
Speaker 2: when I come back. We got Michigan, we got Wisconsin.

689
00:35:05,600 --> 00:35:09,920
Speaker 2: I also want to play before we get yes, not Wisconsin, Pennsylvania.

690
00:35:10,000 --> 00:35:13,560
Speaker 2: Thank you for correcting me, Yes, Pennsylvania. And I want

691
00:35:13,600 --> 00:35:15,560
Speaker 2: to play this Halpurn clip just because I think it

692
00:35:16,040 --> 00:35:18,279
Speaker 2: builds up to what I'm getting to and Rich, I'll

693
00:35:18,320 --> 00:35:20,840
Speaker 2: just I won't bury the lead here. I think the

694
00:35:20,960 --> 00:35:24,840
Speaker 2: Democrats are really divided, and I know that their operation

695
00:35:24,960 --> 00:35:27,239
Speaker 2: in Pennsylvania is chaotic, and you don't want to have

696
00:35:27,320 --> 00:35:29,799
Speaker 2: a chaotic operation going into an election day. And I've

697
00:35:29,840 --> 00:35:32,600
Speaker 2: been hearing rumblings of this that they are just not organized.

698
00:35:33,320 --> 00:35:34,800
Speaker 2: And I'll tell you why here in a second. But

699
00:35:34,920 --> 00:35:36,520
Speaker 2: let me take a quick break, Rich, and I'll be

700
00:35:36,600 --> 00:35:38,840
Speaker 2: right back to you. Okay, more with Savage Rich Barris,

701
00:35:39,000 --> 00:35:42,000
Speaker 2: and just a second best poster in the business. Back

702
00:35:42,040 --> 00:35:44,520
Speaker 2: with Savage Rich Barris, who's the director of Big Data

703
00:35:44,560 --> 00:35:46,680
Speaker 2: poll and host of a great show on Rumble Inside

704
00:35:46,719 --> 00:35:50,080
Speaker 2: the Numbers. If you're not following him on locals, you

705
00:35:50,239 --> 00:35:53,960
Speaker 2: definitely should go follow and subscribe. Also, go subscribe to

706
00:35:54,080 --> 00:35:57,920
Speaker 2: his show, People's Pundit under the tagline or under the

707
00:35:58,040 --> 00:36:01,040
Speaker 2: handle I guess you call it on rumble People's Pundit.

708
00:36:01,080 --> 00:36:04,200
Speaker 2: He's got a great show there. But Rich, I think

709
00:36:04,239 --> 00:36:08,200
Speaker 2: the Democrats are divided. And before we jump into the polls,

710
00:36:08,360 --> 00:36:12,880
Speaker 2: I want to showcase this exchange between Tucker and halburn

711
00:36:13,719 --> 00:36:17,200
Speaker 2: on the genesis of the coup against Biden.

712
00:36:17,239 --> 00:36:22,880
Speaker 1: Okay, so, how just I keep getting sidetracked? My apologies,

713
00:36:22,920 --> 00:36:27,879
Speaker 1: But how exactly did it happen that Biden went from

714
00:36:28,719 --> 00:36:32,600
Speaker 1: telling the world, telling people around him that he was

715
00:36:32,680 --> 00:36:35,640
Speaker 1: going to stay in with the full support I think

716
00:36:35,680 --> 00:36:38,719
Speaker 1: of his wife and son. Yeah, to announcing that he

717
00:36:38,920 --> 00:36:44,200
Speaker 1: was not running again, that the data was very grim

718
00:36:44,320 --> 00:36:47,640
Speaker 1: and inarguable. Yeah, and he was presented with a lot

719
00:36:47,680 --> 00:36:51,880
Speaker 1: of it. But Nancy Pelosi, who as I understand it,

720
00:36:51,960 --> 00:36:54,120
Speaker 1: has not spoken to him since he got out of

721
00:36:54,160 --> 00:36:56,920
Speaker 1: the race as we sit here today. Really, that's what

722
00:36:57,040 --> 00:36:59,080
Speaker 1: she said, I believe in an interview I just read

723
00:37:02,160 --> 00:37:05,920
Speaker 1: she knew where the pressure points were. She's extremely skillful, right,

724
00:37:06,800 --> 00:37:10,279
Speaker 1: she knew what it would take to get him to

725
00:37:10,360 --> 00:37:13,600
Speaker 1: cry uncle. And I'm not sure exactly what that included

726
00:37:13,680 --> 00:37:17,560
Speaker 1: except more and more governors and members of Congress saying

727
00:37:17,880 --> 00:37:20,520
Speaker 1: he had to step down, donor saying they would not

728
00:37:20,560 --> 00:37:24,840
Speaker 1: write a single additional check. Right, So, if you're the

729
00:37:24,880 --> 00:37:29,120
Speaker 1: incumbent president and your fundraising drives up pretty completely because

730
00:37:29,200 --> 00:37:31,520
Speaker 1: he wasn't raising small dollars, right, he was reliant on

731
00:37:31,600 --> 00:37:36,240
Speaker 1: big checks. Could you stay in the race if leading

732
00:37:36,280 --> 00:37:38,879
Speaker 1: members of your party called for you to resign? Could

733
00:37:38,920 --> 00:37:40,560
Speaker 1: you stay in the race if.

734
00:37:42,480 --> 00:37:46,400
Speaker 7: You had no money to run a campaign and really

735
00:37:46,480 --> 00:37:49,160
Speaker 7: had to lay off tons of your staff, not be

736
00:37:49,200 --> 00:37:52,439
Speaker 7: able to afford advertisement, not be able to fly around

737
00:37:52,480 --> 00:37:54,239
Speaker 7: and do big rallies? Could you stay in?

738
00:37:54,800 --> 00:37:55,200
Speaker 2: He could?

739
00:37:56,160 --> 00:37:59,359
Speaker 7: But if Nancy Pelosi is saying to you, you will

740
00:37:59,400 --> 00:38:02,480
Speaker 7: have no money, you will have almost no one supporting

741
00:38:02,520 --> 00:38:07,680
Speaker 7: your continuing on donors, celebrities, members of Congress, governors, you

742
00:38:07,760 --> 00:38:10,880
Speaker 7: will lose and you will be blamed in history for

743
00:38:11,000 --> 00:38:14,719
Speaker 7: having stayed in and lost to Donald Trump. Or we

744
00:38:14,840 --> 00:38:17,080
Speaker 7: can celebrate you at the convention, we can say you're

745
00:38:17,160 --> 00:38:21,200
Speaker 7: like George Washington and you can salvage your your reputation.

746
00:38:22,280 --> 00:38:25,160
Speaker 7: I think presented with those choices, he didn't have a choice.

747
00:38:28,600 --> 00:38:32,560
Speaker 2: So I showed that because when you heard Mark and

748
00:38:32,640 --> 00:38:35,000
Speaker 2: these two clips say eighty percent of donors are just

749
00:38:35,080 --> 00:38:38,680
Speaker 2: putting their head down. Democrat donors putting their head down

750
00:38:38,719 --> 00:38:40,160
Speaker 2: and just saying, I don't care, like we got to

751
00:38:40,200 --> 00:38:42,640
Speaker 2: do everything we can to support Trump. Twenty percent of

752
00:38:42,719 --> 00:38:45,560
Speaker 2: donors are thinking, oh my god, what the hell do

753
00:38:45,680 --> 00:38:49,600
Speaker 2: we do? Replacing the animated corpse with someone who is

754
00:38:49,719 --> 00:38:53,359
Speaker 2: less articulate than an animated corpse, the only other person who,

755
00:38:53,480 --> 00:38:56,719
Speaker 2: in their minds, cannot come close to beating Donald Trump.

756
00:38:57,760 --> 00:39:00,839
Speaker 2: And then you have this Democrat infight with this coup,

757
00:39:01,360 --> 00:39:05,160
Speaker 2: and you know in reports that are leaking out and

758
00:39:05,239 --> 00:39:09,759
Speaker 2: this is what happens when when campaigns meet controversy and

759
00:39:09,880 --> 00:39:14,360
Speaker 2: start to lose, is they start leaking out dysfunction. You

760
00:39:14,440 --> 00:39:18,160
Speaker 2: have heard reports of that in Pennsylvania. How Kamala Harris's

761
00:39:18,200 --> 00:39:23,480
Speaker 2: team in Pennsylvania is in disarray. And I cited I

762
00:39:23,640 --> 00:39:28,200
Speaker 2: cited on the show last week, Rich how Kamala might

763
00:39:28,280 --> 00:39:31,279
Speaker 2: have even been on Savage Wednesday last week. But aw

764
00:39:31,360 --> 00:39:36,799
Speaker 2: Kamala was moving h AD dollars on radio from Wisconsin

765
00:39:36,920 --> 00:39:39,799
Speaker 2: to Philly to invest in a seven figure ad buy

766
00:39:40,600 --> 00:39:43,360
Speaker 2: uh in Philadelphia on R and B and RAP station

767
00:39:43,600 --> 00:39:46,520
Speaker 2: because she believed she's getting her ass kicked or hembrhaging

768
00:39:46,640 --> 00:39:49,800
Speaker 2: black men. They're just they're leaving her in droves. And

769
00:39:49,920 --> 00:39:56,000
Speaker 2: today today the Harris campaign drastically pulled back local television

770
00:39:56,120 --> 00:39:59,719
Speaker 2: advertising in Wisconsin as well, and they took all of

771
00:39:59,760 --> 00:40:04,040
Speaker 2: those resources and reallocated them to Philly. So this brings

772
00:40:04,120 --> 00:40:06,560
Speaker 2: me to the to what you've been saying all along

773
00:40:06,680 --> 00:40:11,440
Speaker 2: and what you're polling has reflected, Kamala Harris is struggling

774
00:40:11,640 --> 00:40:15,680
Speaker 2: with men across the board, especially with young black men,

775
00:40:15,840 --> 00:40:19,000
Speaker 2: even some black women. And you want to get a

776
00:40:19,040 --> 00:40:21,319
Speaker 2: sense of what a campaign is doing, watch how they

777
00:40:21,400 --> 00:40:25,959
Speaker 2: spend their money and where and reallocating resources three weeks

778
00:40:26,000 --> 00:40:28,799
Speaker 2: before an election day when theoretically rich. I mean, back

779
00:40:28,880 --> 00:40:32,080
Speaker 2: me up here, but if you're trying to firm up

780
00:40:32,160 --> 00:40:35,520
Speaker 2: a group that is you're hemorrhaging this close to election day,

781
00:40:36,400 --> 00:40:38,359
Speaker 2: you should already you should already have it in the bag.

782
00:40:38,600 --> 00:40:42,240
Speaker 2: You should already have these people on lockdown. And she doesn't,

783
00:40:43,360 --> 00:40:46,520
Speaker 2: So tell us your thoughts on all of this, which

784
00:40:46,560 --> 00:40:48,920
Speaker 2: I know is a lot. But also what you're polling

785
00:40:48,960 --> 00:40:52,719
Speaker 2: in Pennsylvania showed because this is a brand new poll

786
00:40:52,760 --> 00:40:53,600
Speaker 2: from Pennsylvania.

787
00:40:53,920 --> 00:40:56,120
Speaker 5: It is and there will be more too. From the

788
00:40:56,200 --> 00:40:59,640
Speaker 5: Public Polling Project. If people want to go check out CDM,

789
00:41:00,239 --> 00:41:03,080
Speaker 5: it's on Truth. You guys can see it on Truth.

790
00:41:03,120 --> 00:41:05,920
Speaker 5: I put it on Twitter too, but this one's for them.

791
00:41:06,000 --> 00:41:08,480
Speaker 5: We kind of overlap days, so guys, I have a

792
00:41:08,680 --> 00:41:11,799
Speaker 5: lot of days in the field, okay, because between being

793
00:41:11,840 --> 00:41:14,600
Speaker 5: a sponsored poll and the Public Polling Project, I mean,

794
00:41:14,640 --> 00:41:17,319
Speaker 5: I've essentially been in Pennsylvania for the better part now

795
00:41:17,520 --> 00:41:21,480
Speaker 5: of almost two weeks. And instead of releasing the Public

796
00:41:21,520 --> 00:41:24,879
Speaker 5: Polling Project poll then CD Media, we just said, let's

797
00:41:24,920 --> 00:41:29,160
Speaker 5: do cd first, CDM first, and then by Friday, Saturday, Sunday,

798
00:41:29,200 --> 00:41:30,680
Speaker 5: because I want to stay in the field through the

799
00:41:30,719 --> 00:41:33,239
Speaker 5: weekend too. I want to track Pennsylvania because I think

800
00:41:33,280 --> 00:41:36,480
Speaker 5: it's so important. We'll put out the Public Polling Project

801
00:41:36,560 --> 00:41:39,480
Speaker 5: stuff and we'll show you how things have changed over time.

802
00:41:40,080 --> 00:41:42,920
Speaker 5: So look, I think we're all forgetting some very key

803
00:41:42,960 --> 00:41:47,680
Speaker 5: important things here, Trump especially, but Republicans in general. Trump

804
00:41:47,800 --> 00:41:51,480
Speaker 5: especially has not been understated in the polls only because

805
00:41:51,520 --> 00:41:55,280
Speaker 5: they understated support among minorities, which they have done both times.

806
00:41:55,840 --> 00:41:59,839
Speaker 5: The real big marginal eras come from or the era

807
00:42:00,160 --> 00:42:04,640
Speaker 5: in margin come from his understated support among whites. And

808
00:42:04,760 --> 00:42:07,799
Speaker 5: then come election day, he winds up doing better than

809
00:42:07,840 --> 00:42:09,560
Speaker 5: the poles ever say he was going to do. With

810
00:42:09,640 --> 00:42:13,480
Speaker 5: white women. He does even better even then with white men,

811
00:42:14,000 --> 00:42:16,880
Speaker 5: then the pole suggests he will do. So when you

812
00:42:17,000 --> 00:42:19,600
Speaker 5: see the numbers the way they are now, it really

813
00:42:19,680 --> 00:42:22,719
Speaker 5: has to make you wonder how bad like this is

814
00:42:22,760 --> 00:42:25,400
Speaker 5: why I'm saying the likelihood now. I agree with Mark Alpern,

815
00:42:25,400 --> 00:42:27,879
Speaker 5: who also said the most likely scenario is that Trump

816
00:42:28,000 --> 00:42:29,840
Speaker 5: is going to win easily, all right, And I'm not

817
00:42:29,920 --> 00:42:32,200
Speaker 5: telling you this to take your foot off the gas people.

818
00:42:32,239 --> 00:42:36,960
Speaker 5: I he did, you know, because there are scenarios where

819
00:42:37,000 --> 00:42:39,319
Speaker 5: both of them kind of win easily. But the most

820
00:42:39,480 --> 00:42:41,720
Speaker 5: likely one here, with the race trending in the direction

821
00:42:41,880 --> 00:42:45,480
Speaker 5: it is, is that all of these fantastical scenarios where

822
00:42:45,480 --> 00:42:49,800
Speaker 5: he wins Pennsylvania but loses Georgia and loses Arizona, that

823
00:42:50,440 --> 00:42:53,680
Speaker 5: hasn't happened to observers like Mark and myself been a

824
00:42:54,000 --> 00:42:57,239
Speaker 5: round a long time. That doesn't happen that way. The

825
00:42:57,400 --> 00:43:01,279
Speaker 5: race breaks. Maybe there's an anomaly here and there, but

826
00:43:01,600 --> 00:43:04,320
Speaker 5: all of these states, like a cascading effect, just go

827
00:43:04,520 --> 00:43:08,560
Speaker 5: breaking in one direction and somebody gets trounced. When you

828
00:43:08,680 --> 00:43:11,440
Speaker 5: see the trend line like this like we're seeing now,

829
00:43:11,960 --> 00:43:14,799
Speaker 5: that's what happens. Okay, First of all, let me show

830
00:43:14,800 --> 00:43:16,840
Speaker 5: you why they are pulling Yeah, can you put it

831
00:43:16,920 --> 00:43:17,120
Speaker 5: up there?

832
00:43:17,560 --> 00:43:18,839
Speaker 2: Oh yeah, you got it, my friend, yep.

833
00:43:18,920 --> 00:43:19,160
Speaker 4: Yeah.

834
00:43:19,360 --> 00:43:21,520
Speaker 5: Let me show you why they are putting money back

835
00:43:21,560 --> 00:43:25,400
Speaker 5: in Pennsylvania. Pennsylvania beginning about a month ago, maybe a

836
00:43:25,440 --> 00:43:27,919
Speaker 5: little less, little less, I would say, began to look

837
00:43:28,000 --> 00:43:30,719
Speaker 5: pretty ugly for Harris. It was getting very hard and

838
00:43:30,800 --> 00:43:33,600
Speaker 5: Trump Fetterman's right. Trump has this like connection with the

839
00:43:33,680 --> 00:43:37,240
Speaker 5: voters in Pennsylvania. He really does. But there were groups

840
00:43:37,280 --> 00:43:40,960
Speaker 5: where he slipped from sixteen to twenty and Catholics is

841
00:43:41,040 --> 00:43:44,480
Speaker 5: one of them, seniors, white seniors. That was just enough

842
00:43:44,560 --> 00:43:48,520
Speaker 5: for Scranton Joe to pull away in the northeast. Right,

843
00:43:48,600 --> 00:43:49,920
Speaker 5: We're gonna look at all of this. And then you

844
00:43:50,080 --> 00:43:54,120
Speaker 5: mentioned Philly. In twenty twenty, we were pulling Trump at

845
00:43:54,200 --> 00:43:56,600
Speaker 5: like twenty two to twenty four percent in Philly, and

846
00:43:56,719 --> 00:43:58,839
Speaker 5: I thought that was monstrous and going to be very

847
00:43:58,880 --> 00:44:02,200
Speaker 5: difficult for Biden to win. He made up for it, however,

848
00:44:02,640 --> 00:44:06,400
Speaker 5: even though he was leading marginally in our poll, he

849
00:44:06,560 --> 00:44:09,400
Speaker 5: made up for it by winning more voters in like

850
00:44:10,120 --> 00:44:13,960
Speaker 5: northeastern Pennsylvania and Northampton and of course out West and

851
00:44:14,080 --> 00:44:16,920
Speaker 5: Erie he wound up flipping back Erie, but he was

852
00:44:17,000 --> 00:44:20,120
Speaker 5: able to do better in and around Script and Lazern

853
00:44:20,360 --> 00:44:23,680
Speaker 5: and center right well, first and foremost, look at the

854
00:44:23,880 --> 00:44:26,120
Speaker 5: certain to vote, likely to vote, unlike little vote. Let's

855
00:44:26,120 --> 00:44:30,719
Speaker 5: just scroll on over real quick to party. Eighty six

856
00:44:30,800 --> 00:44:33,680
Speaker 5: percent of Republicans that we spoke to certain to vote,

857
00:44:33,880 --> 00:44:36,879
Speaker 5: eighty one, eighty point seven for Democrats, so eighty five

858
00:44:36,920 --> 00:44:39,640
Speaker 5: point eight to eighty point seven. A lot of these

859
00:44:39,680 --> 00:44:43,239
Speaker 5: polls that still have Harris up still have very democratic electorates.

860
00:44:43,440 --> 00:44:45,680
Speaker 5: That is not going to happen. I'm telling you right now.

861
00:44:45,760 --> 00:44:48,320
Speaker 5: The electorate that we have may be wrong a little

862
00:44:48,320 --> 00:44:50,560
Speaker 5: bit off here in there, but largely we see this

863
00:44:50,680 --> 00:44:52,840
Speaker 5: as an R plus one electorate. And judging by the

864
00:44:52,880 --> 00:44:55,279
Speaker 5: early voting, which I know you're keeping your eyes on,

865
00:44:55,360 --> 00:44:58,480
Speaker 5: I always caution people to be careful reading the early

866
00:44:58,600 --> 00:45:00,479
Speaker 5: vote he leaves, because you don't know who they're voting.

867
00:45:00,560 --> 00:45:00,759
Speaker 2: Four.

868
00:45:01,000 --> 00:45:03,399
Speaker 5: All right, But the bottom line is it was never

869
00:45:03,520 --> 00:45:05,960
Speaker 5: a debate about whether or not, well, let me put

870
00:45:06,000 --> 00:45:07,919
Speaker 5: it this way, it was the debate over early voting

871
00:45:07,920 --> 00:45:10,640
Speaker 5: in Pennsylvania was going to be how big is Harris's margin?

872
00:45:11,080 --> 00:45:13,400
Speaker 5: It wasn't ever going to be how many days in

873
00:45:13,440 --> 00:45:16,920
Speaker 5: a row are Republicans going to out request Democrats with

874
00:45:17,120 --> 00:45:20,960
Speaker 5: absentee ballads? Which is the reality on the ground right

875
00:45:21,040 --> 00:45:23,399
Speaker 5: now in Pennsylvania, and we can see it with the data,

876
00:45:23,480 --> 00:45:26,719
Speaker 5: all right. So if we just go, for instance, to

877
00:45:27,200 --> 00:45:31,440
Speaker 5: Trump v. Harris, let's do it with just the standard

878
00:45:31,480 --> 00:45:35,280
Speaker 5: when there's nobody else to choose from. All right, overall,

879
00:45:35,800 --> 00:45:38,680
Speaker 5: overall registered voters, Trump is up forty seven point three

880
00:45:38,760 --> 00:45:41,720
Speaker 5: to forty five point two. If you look by age,

881
00:45:42,000 --> 00:45:46,200
Speaker 5: it does look like more traditional breakdown by age. However,

882
00:45:46,480 --> 00:45:50,680
Speaker 5: I mean, Harris is really underperforming with certain subgroups of

883
00:45:50,760 --> 00:45:54,960
Speaker 5: younger voters. And there's overlapping things going on here. So

884
00:45:55,080 --> 00:45:57,879
Speaker 5: when we talk about young black men, they're in there,

885
00:45:58,160 --> 00:46:00,680
Speaker 5: all right, So it's not just about young voters and

886
00:46:00,719 --> 00:46:03,400
Speaker 5: the way we traditionally think about it anymore. And then

887
00:46:03,560 --> 00:46:06,640
Speaker 5: also look at sixty five plus. Trump won them, but

888
00:46:06,719 --> 00:46:10,680
Speaker 5: he barely won them in twenty twenty, the polls suggested

889
00:46:10,760 --> 00:46:14,560
Speaker 5: in Pennsylvania and elsewhere and nationally Biden would win the

890
00:46:14,600 --> 00:46:18,239
Speaker 5: senior Yes, it's very senior in Pennsylvania. Folks, we think

891
00:46:18,280 --> 00:46:20,160
Speaker 5: about senior votes. Have you senior votes as we think

892
00:46:20,160 --> 00:46:23,160
Speaker 5: about Florida, but Pennsylvania can be anywhere between twenty five

893
00:46:23,280 --> 00:46:27,600
Speaker 5: twenty eight, thirty percent senior. And there's an old school

894
00:46:27,719 --> 00:46:31,640
Speaker 5: white ancestral Democratic voting group that's you know, older seniors

895
00:46:32,000 --> 00:46:35,799
Speaker 5: that liked Biden. They liked him. They don't like her,

896
00:46:36,200 --> 00:46:39,160
Speaker 5: Okay they don't. And that's really what it comes down to.

897
00:46:39,560 --> 00:46:41,560
Speaker 5: You can see it even more pronounced when you break

898
00:46:41,600 --> 00:46:44,520
Speaker 5: it down by senior and super senior. Sixty five to

899
00:46:44,600 --> 00:46:47,560
Speaker 5: seventy four is now going for Trump fifty four point

900
00:46:47,640 --> 00:46:50,520
Speaker 5: eight to forty two point five in Pennsylvania, but look

901
00:46:50,560 --> 00:46:55,080
Speaker 5: at super seniors, Sean, it's even worse. Fifty eight to

902
00:46:55,280 --> 00:46:59,120
Speaker 5: thirty eight. That's a twenty point margin, folks. I went

903
00:46:59,200 --> 00:47:02,760
Speaker 5: today on inside the numbers and we were comparing our polling,

904
00:47:02,880 --> 00:47:05,760
Speaker 5: not only our final poll in Pennsylvania, but the tracking

905
00:47:05,840 --> 00:47:08,840
Speaker 5: pole that we had done, which started in October and

906
00:47:08,960 --> 00:47:12,239
Speaker 5: went throughout October into the final poll. I mean, we

907
00:47:12,440 --> 00:47:16,160
Speaker 5: never saw margins like this. The senior vote was much closer, right,

908
00:47:16,600 --> 00:47:19,799
Speaker 5: and look at the white vote. Obviously, a ten point

909
00:47:19,880 --> 00:47:22,239
Speaker 5: lead is big off the bat, but you can see

910
00:47:22,320 --> 00:47:24,880
Speaker 5: already in the head to head the African American numbers

911
00:47:24,920 --> 00:47:29,600
Speaker 5: are ridiculous nineteen point nine percent. Sean, he never had

912
00:47:29,640 --> 00:47:32,279
Speaker 5: more than twelve percent in our poll in twenty twenty, never,

913
00:47:32,560 --> 00:47:35,120
Speaker 5: and he wound up getting about ten percent. Now he's

914
00:47:35,160 --> 00:47:38,239
Speaker 5: at nineteen point nine. Where is this coming from. Oh

915
00:47:38,280 --> 00:47:41,120
Speaker 5: and by the way, we can look at the generic

916
00:47:41,239 --> 00:47:43,760
Speaker 5: meaning like we just threw all the third parties together.

917
00:47:44,160 --> 00:47:46,399
Speaker 5: You don't see who's getting what because the numbers are

918
00:47:46,440 --> 00:47:50,359
Speaker 5: so small, right, So everybody generically together, you can see

919
00:47:50,640 --> 00:47:53,000
Speaker 5: Trump has a lead forty seven point five to forty

920
00:47:53,040 --> 00:47:56,279
Speaker 5: six point four. This is a danger for Trump in Pennsylvania. Like,

921
00:47:56,360 --> 00:48:00,759
Speaker 5: for instance, third parties on the ballot absolutely do hurt

922
00:48:00,880 --> 00:48:04,200
Speaker 5: Donald Trump in Pennsylvania, right, They help him in Michigan,

923
00:48:04,400 --> 00:48:07,080
Speaker 5: They hurt him in Pennsylvania. Right, But you still see

924
00:48:07,120 --> 00:48:09,680
Speaker 5: the white vote as Trump plus almost ten. It's Trump

925
00:48:09,719 --> 00:48:13,240
Speaker 5: plus nine if we round, and the Black African American

926
00:48:13,360 --> 00:48:16,759
Speaker 5: vote still is seventeen percent for Donald Trump. He's also

927
00:48:16,840 --> 00:48:19,680
Speaker 5: doing much better with Asian voters, even though it's tiny, tiny,

928
00:48:19,760 --> 00:48:22,840
Speaker 5: tiny sample, so take it with a grain. However, in

929
00:48:22,920 --> 00:48:25,880
Speaker 5: twenty twenty it was sixty five thirty five Joe Biden

930
00:48:26,000 --> 00:48:29,600
Speaker 5: constantly all month, all month, right, so we can see

931
00:48:29,640 --> 00:48:32,320
Speaker 5: there is a difference. Now, it's not gonna be that pronounced,

932
00:48:32,600 --> 00:48:35,640
Speaker 5: but it indicates that those margins with those non white

933
00:48:35,719 --> 00:48:39,480
Speaker 5: voters are closing. All right, let's see what else here

934
00:48:39,560 --> 00:48:44,040
Speaker 5: if we do gender by race. Okay, look at black

935
00:48:44,080 --> 00:48:50,160
Speaker 5: men twenty five percent, Kamala Harris is winning them, of course,

936
00:48:50,440 --> 00:48:53,640
Speaker 5: which is winning them seventy two point seven to twenty

937
00:48:53,840 --> 00:48:54,239
Speaker 5: rich point.

938
00:48:54,320 --> 00:48:58,600
Speaker 2: That dovetails with what CNN's polling reported the other day too,

939
00:48:58,920 --> 00:49:01,759
Speaker 2: that Trump is winning the lion's share of the most

940
00:49:01,960 --> 00:49:04,799
Speaker 2: support from black men since like Nixon in nineteen.

941
00:49:04,680 --> 00:49:07,520
Speaker 5: Richard Nixon nineteen sixty, nineteen sixty.

942
00:49:07,640 --> 00:49:11,359
Speaker 2: This is, folks, this is I have been saying gay news,

943
00:49:11,480 --> 00:49:15,160
Speaker 2: big data polls jibes with CNN's polls. It's true.

944
00:49:15,719 --> 00:49:17,440
Speaker 5: I'm living in an alternative universe.

945
00:49:17,520 --> 00:49:20,239
Speaker 2: Harry Entton, Right, that dude, Harriet is that the guy CNN.

946
00:49:20,360 --> 00:49:22,200
Speaker 2: He does a pretty good job, right, He seems like

947
00:49:22,239 --> 00:49:23,520
Speaker 2: a straight shooter, pretty.

948
00:49:23,239 --> 00:49:26,360
Speaker 5: Decent, but like he's been told obviously to try to

949
00:49:26,400 --> 00:49:27,239
Speaker 5: find something.

950
00:49:27,000 --> 00:49:28,880
Speaker 2: To get, can't candem?

951
00:49:29,120 --> 00:49:31,440
Speaker 5: Yeah, Well, I mean he comes out saying Harris is

952
00:49:31,520 --> 00:49:34,640
Speaker 5: doing the best with white one women than any other candidate.

953
00:49:35,040 --> 00:49:38,000
Speaker 5: You know, that's face Trump. But the truth is that's

954
00:49:38,080 --> 00:49:41,000
Speaker 5: not really true. Yet we don't know that they're comparing

955
00:49:41,239 --> 00:49:43,759
Speaker 5: polls to exit polls, and what we later know from

956
00:49:43,840 --> 00:49:48,000
Speaker 5: validated voter surveys, they're not comparing polls to polls because

957
00:49:48,239 --> 00:49:52,759
Speaker 5: every time the polls have overstated democratic margins among white

958
00:49:52,800 --> 00:49:56,240
Speaker 5: women for Donald against Donald Trump, and in fact, Donald

959
00:49:56,239 --> 00:49:59,080
Speaker 5: Trump won them in many states in twenty twenty and

960
00:49:59,239 --> 00:50:02,600
Speaker 5: won them in twenty sixteen period. So if you're going

961
00:50:02,640 --> 00:50:05,520
Speaker 5: to compare the polls to the exit poles, that's one

962
00:50:05,600 --> 00:50:09,400
Speaker 5: thing because it's overstating his support, or it's not overstating

963
00:50:09,560 --> 00:50:11,560
Speaker 5: it is his support. What I'm saying is the polls

964
00:50:11,600 --> 00:50:15,879
Speaker 5: would understate it. So going into the election, you could

965
00:50:15,880 --> 00:50:18,080
Speaker 5: have made that argument for either one of the last

966
00:50:18,120 --> 00:50:21,480
Speaker 5: two elections he was in, because you're comparing apples to

967
00:50:21,680 --> 00:50:25,160
Speaker 5: oranges instead of apples to apples. Now he's taking the

968
00:50:25,200 --> 00:50:27,319
Speaker 5: polling numbers and he's saying, well, look, oh my god,

969
00:50:27,400 --> 00:50:30,840
Speaker 5: she's doing so much better. No she's not, because Biden's

970
00:50:30,920 --> 00:50:34,359
Speaker 5: margin with them was just the just as robust going

971
00:50:34,400 --> 00:50:35,240
Speaker 5: into twenty twenty.

972
00:50:35,400 --> 00:50:37,440
Speaker 2: But the truth is he didn't get that margin.

973
00:50:37,760 --> 00:50:41,160
Speaker 5: He didn't, so you know, I mean, again, it's very misleading.

974
00:50:41,960 --> 00:50:43,839
Speaker 5: I guess he has to give them something though.

975
00:50:44,920 --> 00:50:47,080
Speaker 2: Well listen, listen on the Today Show, just so you're

976
00:50:47,160 --> 00:50:49,600
Speaker 2: tracking the Today Show polling. I think it was the

977
00:50:49,640 --> 00:50:53,200
Speaker 2: Today Show had the electorate at R plus one, like

978
00:50:53,400 --> 00:50:56,440
Speaker 2: it's historically it's always been, like legitimately been a D

979
00:50:56,600 --> 00:50:59,320
Speaker 2: plus electorate, but now for the first time in a

980
00:50:59,360 --> 00:51:02,600
Speaker 2: long time plus one, and you're polling jives with that

981
00:51:02,760 --> 00:51:03,160
Speaker 2: as well.

982
00:51:03,680 --> 00:51:07,799
Speaker 5: Pennsylvania and then nation overall are very close to each other,

983
00:51:08,120 --> 00:51:11,439
Speaker 5: so it does look like nationwide it'll be even, could

984
00:51:11,480 --> 00:51:13,600
Speaker 5: be D plus one or R plus one, could be

985
00:51:13,719 --> 00:51:16,640
Speaker 5: more R. But I'm just saying that's generally like where

986
00:51:17,080 --> 00:51:20,799
Speaker 5: the highest probability falls. In Pennsylvania, it's looking like an

987
00:51:21,040 --> 00:51:25,120
Speaker 5: R plus electorate, all right. And black women, by the way,

988
00:51:25,160 --> 00:51:28,279
Speaker 5: are at twelve percent before we lean anybody, which is

989
00:51:28,440 --> 00:51:32,040
Speaker 5: already remarkable. When you actually do lean them, black women

990
00:51:32,120 --> 00:51:34,200
Speaker 5: don't really move, so it does look like Trump is

991
00:51:34,280 --> 00:51:37,000
Speaker 5: capped out there, but black men do. They tick up

992
00:51:37,040 --> 00:51:39,720
Speaker 5: to twenty three. So when you put that all together,

993
00:51:40,080 --> 00:51:43,239
Speaker 5: you know, it's basically two ATA. It depends because black

994
00:51:43,280 --> 00:51:45,000
Speaker 5: men are telling us they're going to vote on par

995
00:51:45,120 --> 00:51:47,919
Speaker 5: with women this time, whereas maybe even a little bit more,

996
00:51:48,080 --> 00:51:51,480
Speaker 5: which whereas in some background states that's happened, but nationally

997
00:51:51,880 --> 00:51:54,480
Speaker 5: it's typically black women out voting black men, all right,

998
00:51:54,560 --> 00:51:56,239
Speaker 5: So you've got posters have to be careful with that

999
00:51:56,320 --> 00:51:58,759
Speaker 5: a little bit. You could overstate his margin with black

1000
00:51:58,840 --> 00:52:02,000
Speaker 5: voters if you're looking at you know, if they're not

1001
00:52:02,160 --> 00:52:07,400
Speaker 5: either roughly equal now in Pennsylvania, in Wisconsin, in Michigan,

1002
00:52:07,800 --> 00:52:11,640
Speaker 5: that may not happen black men, seriously, could They're telling

1003
00:52:11,719 --> 00:52:14,480
Speaker 5: us they're going to vote at rates we've never seen before,

1004
00:52:14,920 --> 00:52:18,920
Speaker 5: and that is it's not normal, all right. So something's

1005
00:52:18,960 --> 00:52:22,560
Speaker 5: happening here, is what I and it should have disappeared

1006
00:52:22,560 --> 00:52:25,400
Speaker 5: by now, sean. So we have seen in the past,

1007
00:52:25,600 --> 00:52:29,840
Speaker 5: you know, Republicans flirting with like higher shares of the

1008
00:52:29,920 --> 00:52:33,160
Speaker 5: vote with non whites, but as election day draws near,

1009
00:52:33,640 --> 00:52:36,839
Speaker 5: it starts to evaporate and it's gone by Labor day,

1010
00:52:36,960 --> 00:52:40,279
Speaker 5: usually gone by Labor Day. This didn't happen, all right,

1011
00:52:40,440 --> 00:52:41,840
Speaker 5: I mean, this is what I'm telling you, Like, this

1012
00:52:42,000 --> 00:52:46,400
Speaker 5: has been consistent. It has not evaporated, and if it doesn't,

1013
00:52:46,520 --> 00:52:49,400
Speaker 5: when is it going to? I Mean, I find myself

1014
00:52:49,440 --> 00:52:51,200
Speaker 5: saying this all the time, the same thing over and

1015
00:52:51,239 --> 00:52:54,000
Speaker 5: over again. I've been saying since the summer, it should

1016
00:52:54,080 --> 00:52:57,000
Speaker 5: start evaporating by now, and we really haven't seen that.

1017
00:52:57,480 --> 00:53:00,520
Speaker 5: When is it going to evaporate? It's October sixteenth. Okay,

1018
00:53:00,840 --> 00:53:03,360
Speaker 5: it's not. The truth is it's not going to the

1019
00:53:03,440 --> 00:53:05,480
Speaker 5: only question is how much is it going to be.

1020
00:53:05,680 --> 00:53:08,040
Speaker 5: What's the subgroup sampling era really going to look like?

1021
00:53:08,480 --> 00:53:12,560
Speaker 5: And then when we look at for instance, region, all right, actually,

1022
00:53:12,640 --> 00:53:15,480
Speaker 5: let's go likelihood to vote. When it was Biden on

1023
00:53:15,640 --> 00:53:19,600
Speaker 5: the ticket, Biden would benefit from the certainty to vote.

1024
00:53:19,640 --> 00:53:22,920
Speaker 5: So among the most likely voters, Biden did better than

1025
00:53:22,960 --> 00:53:27,640
Speaker 5: he did against Trump. Among registered voters and adults. That

1026
00:53:27,880 --> 00:53:31,680
Speaker 5: is not the case with Kamala Harris. Now, even though

1027
00:53:32,239 --> 00:53:35,320
Speaker 5: when you look at Biden's approval rating, the most certain

1028
00:53:35,440 --> 00:53:40,040
Speaker 5: voters actually have a better slightly marginally better outlook on

1029
00:53:40,200 --> 00:53:44,360
Speaker 5: Biden's approval than the overall population. So that's a that

1030
00:53:44,520 --> 00:53:48,400
Speaker 5: tells me something. This is a Kamala Harris problem. They

1031
00:53:48,480 --> 00:53:52,040
Speaker 5: don't like her because they're telling us, actually, we approve

1032
00:53:52,080 --> 00:53:56,080
Speaker 5: of Biden by a slightly better margin than the overall population,

1033
00:53:56,600 --> 00:54:00,239
Speaker 5: overall registered voter population, we approve of him more. Ever,

1034
00:54:00,600 --> 00:54:06,040
Speaker 5: she deteriorates against Trump among these very same people so

1035
00:54:06,680 --> 00:54:09,960
Speaker 5: that is Look, I know they are seeing the same thing.

1036
00:54:10,200 --> 00:54:12,840
Speaker 5: I know they are, and this is god to concern

1037
00:54:13,040 --> 00:54:15,320
Speaker 5: you greatly.

1038
00:54:14,960 --> 00:54:17,359
Speaker 2: If you're a Democrat, if you're oh, you're right now,

1039
00:54:17,760 --> 00:54:22,040
Speaker 2: absolutely absolutely if you see polls like that, again, having

1040
00:54:22,280 --> 00:54:24,520
Speaker 2: had my name on the ballot, you see poles like

1041
00:54:24,600 --> 00:54:27,680
Speaker 2: that this close to election day. Now you're starting now

1042
00:54:27,680 --> 00:54:32,000
Speaker 2: you're starting to see the empirical evidence of why Kamala

1043
00:54:32,160 --> 00:54:37,400
Speaker 2: is reallocating resources from Wisconsin, another critical swing state for her.

1044
00:54:37,440 --> 00:54:39,879
Speaker 2: By the way, it's not like she's taken from California.

1045
00:54:40,320 --> 00:54:43,080
Speaker 2: She's taken from Wisconsin and investing in Pennsylvania.

1046
00:54:43,360 --> 00:54:47,040
Speaker 5: And this is why there are so many people John

1047
00:54:47,160 --> 00:54:50,680
Speaker 5: who voted to in twenty twenty who are just telling

1048
00:54:50,800 --> 00:54:53,560
Speaker 5: us they're not voting for her. And that is huge

1049
00:54:53,719 --> 00:54:57,160
Speaker 5: because Biden really needed these people to put him barely

1050
00:54:57,280 --> 00:55:00,120
Speaker 5: over the edge in these states. He needed them, and

1051
00:55:00,239 --> 00:55:02,800
Speaker 5: now they're not either. You know, some of them have

1052
00:55:03,000 --> 00:55:05,680
Speaker 5: just changed their mind and are going to vote for Trump.

1053
00:55:05,880 --> 00:55:09,359
Speaker 5: Others are just not voting. And I think that's why

1054
00:55:09,360 --> 00:55:11,720
Speaker 5: you're seeing the numbers you're seeing with early vote requests

1055
00:55:11,760 --> 00:55:14,080
Speaker 5: and returns, depending on what state you're looking at. Obviously,

1056
00:55:14,200 --> 00:55:18,400
Speaker 5: this Pennsylvania, so it you know, it jives with the

1057
00:55:18,520 --> 00:55:21,600
Speaker 5: data that we're seeing. Is my point break.

1058
00:55:21,400 --> 00:55:23,480
Speaker 2: Down the top line numbers in Pennsylvania.

1059
00:55:23,800 --> 00:55:26,440
Speaker 5: Yeah, so I mean overall, if you look at the

1060
00:55:26,520 --> 00:55:29,920
Speaker 5: registered voter population overall, when you're let's let's do the

1061
00:55:30,000 --> 00:55:32,680
Speaker 5: full ballot, because the full ballot matters, all right, It

1062
00:55:32,840 --> 00:55:36,000
Speaker 5: matters because that's closer to reality. The reason why we

1063
00:55:36,120 --> 00:55:38,040
Speaker 5: do the head to head is because we want to

1064
00:55:38,080 --> 00:55:40,839
Speaker 5: know people's ceilings and floors and if there weren't other

1065
00:55:40,920 --> 00:55:43,720
Speaker 5: people on the ballot, how would they perform and who's

1066
00:55:44,680 --> 00:55:47,799
Speaker 5: buy those people on the Yeah, I mean at the end,

1067
00:55:48,040 --> 00:55:50,040
Speaker 5: at the end of the day, someone's going to be

1068
00:55:50,120 --> 00:55:52,960
Speaker 5: throwing away their votes and it's going to hurt somebody,

1069
00:55:53,120 --> 00:55:55,120
Speaker 5: and we want to know who that is, even if

1070
00:55:55,120 --> 00:55:58,400
Speaker 5: it's marginal, because in a very close election, all of

1071
00:55:58,480 --> 00:56:01,800
Speaker 5: that will matter, all right. So among the entire registered

1072
00:56:01,840 --> 00:56:04,560
Speaker 5: vote of population, it's forty eight point one forty seven

1073
00:56:04,600 --> 00:56:07,439
Speaker 5: point four. Among those who are the most certain to vote,

1074
00:56:07,480 --> 00:56:10,239
Speaker 5: Trump actually leads, and he leads over fifty fifty one

1075
00:56:10,320 --> 00:56:13,560
Speaker 5: point one to forty seven point nine. So this idea

1076
00:56:13,680 --> 00:56:17,000
Speaker 5: that Trump they're hoping because Democrats, this is a school

1077
00:56:17,000 --> 00:56:19,799
Speaker 5: of thought Democrats running around Democrats right now, Well, there's

1078
00:56:19,800 --> 00:56:21,600
Speaker 5: still people in the ballot. That's why they wanted to

1079
00:56:21,680 --> 00:56:25,040
Speaker 5: keep Kennedy on the ballot in Michigan and other states

1080
00:56:25,080 --> 00:56:27,920
Speaker 5: because they feel that if these third party people are

1081
00:56:27,960 --> 00:56:31,560
Speaker 5: on the ballad, they could pull some away from Trump. However,

1082
00:56:32,440 --> 00:56:35,640
Speaker 5: in Pennsylvania it's different. So if he's not on the ballot,

1083
00:56:35,719 --> 00:56:38,279
Speaker 5: then let's hope Donald Trump has a ceiling in che

1084
00:56:38,360 --> 00:56:40,239
Speaker 5: can edge, you am mount. He'll be stuck at forty

1085
00:56:40,320 --> 00:56:42,359
Speaker 5: seven or forty eight, and she'll be able to get

1086
00:56:42,400 --> 00:56:45,520
Speaker 5: forty nine point one and she'll edge amount. This is

1087
00:56:45,640 --> 00:56:48,839
Speaker 5: not true, and it's a reason. There's a reason it's

1088
00:56:48,920 --> 00:56:52,600
Speaker 5: not true. You'll see the favorability ratings in probably tomorrow.

1089
00:56:53,040 --> 00:56:56,400
Speaker 5: Her favorability ratings have cratered. And Donald Trump, whether they

1090
00:56:56,520 --> 00:56:59,960
Speaker 5: know how you compare them to hers is kind of irrelevant.

1091
00:57:00,000 --> 00:57:03,120
Speaker 5: And he is the most popular he has ever been

1092
00:57:03,600 --> 00:57:06,560
Speaker 5: right now. He has never been more popular than he

1093
00:57:06,719 --> 00:57:09,640
Speaker 5: is right now. So this idea that he's got a

1094
00:57:09,719 --> 00:57:13,000
Speaker 5: cap and that cap is lower than twenty twenty is nuts.

1095
00:57:13,360 --> 00:57:16,320
Speaker 5: He is more popular now. How could you even conceive

1096
00:57:16,480 --> 00:57:19,360
Speaker 5: that to be reality? I think part of its copium. Yeah,

1097
00:57:19,400 --> 00:57:21,480
Speaker 5: I really do. When you put it all together and

1098
00:57:21,560 --> 00:57:24,479
Speaker 5: we do this, we just make it real simple for people. Okay.

1099
00:57:24,640 --> 00:57:29,200
Speaker 5: The bottom line is among likely voters in Pennsylvania, Trump

1100
00:57:29,400 --> 00:57:33,080
Speaker 5: leads in this ballad scenario forty nine point five to

1101
00:57:33,200 --> 00:57:36,680
Speaker 5: forty eight point three. Rounded, it's two points. When you

1102
00:57:36,880 --> 00:57:39,280
Speaker 5: look at it straight up, it's one point two. But

1103
00:57:39,400 --> 00:57:42,760
Speaker 5: the bottom line is, again, he's at fifty percent when

1104
00:57:42,800 --> 00:57:46,640
Speaker 5: you round, he's at fifty percent, which is statistically a

1105
00:57:46,720 --> 00:57:50,080
Speaker 5: big deal, folks, without getting in the wei it's it

1106
00:57:50,200 --> 00:57:54,320
Speaker 5: dramatically increases the likelihood that, whether or not these margins

1107
00:57:54,360 --> 00:57:56,520
Speaker 5: are off here and there, right, we have a certain

1108
00:57:56,960 --> 00:57:59,360
Speaker 5: confidence interval where we think the vote chair will fall

1109
00:57:59,440 --> 00:58:03,160
Speaker 5: between and that is the mean of it. Okay, regardless

1110
00:58:03,160 --> 00:58:06,360
Speaker 5: of where it eventually does fall, it makes when someone

1111
00:58:06,440 --> 00:58:08,840
Speaker 5: is at fifty percent, it makes us more confident that

1112
00:58:09,000 --> 00:58:12,040
Speaker 5: that person who's leading will ultimately.

1113
00:58:11,640 --> 00:58:12,520
Speaker 2: Be the winner.

1114
00:58:12,560 --> 00:58:15,040
Speaker 5: I'm just trying to be in plane language, you know here,

1115
00:58:15,200 --> 00:58:19,120
Speaker 5: explain what that means. Never, Never in the history of

1116
00:58:19,200 --> 00:58:21,800
Speaker 5: me polling the state of Pennsylvania, especially in the era

1117
00:58:21,880 --> 00:58:24,600
Speaker 5: of Trump or with Donald Trump, has Donald Trump hit

1118
00:58:24,680 --> 00:58:28,360
Speaker 5: fifty percent when he was winning in our poll. Trump

1119
00:58:28,440 --> 00:58:32,160
Speaker 5: plus one in twenty sixteen, he was at forty eight

1120
00:58:32,840 --> 00:58:39,400
Speaker 5: point six something like that. He has never hit fifty percent, never,

1121
00:58:39,800 --> 00:58:42,360
Speaker 5: not even in the polling that we were doing in

1122
00:58:42,480 --> 00:58:45,280
Speaker 5: twenty two when he had like a nice healthy lead

1123
00:58:45,320 --> 00:58:48,720
Speaker 5: over Biden. You know, it was like his highest polling

1124
00:58:49,440 --> 00:58:52,320
Speaker 5: era back then until Biden fell apart, like you know,

1125
00:58:52,480 --> 00:58:54,800
Speaker 5: you know, as he did in the debate. Never did

1126
00:58:54,880 --> 00:58:57,800
Speaker 5: we have him still in Pennsylvania hit those kind of

1127
00:58:57,920 --> 00:58:59,680
Speaker 5: numbers when you will get the head to head by

1128
00:58:59,680 --> 00:59:04,160
Speaker 5: the way, which we could do with leaners. Okay, it

1129
00:59:04,280 --> 00:59:08,440
Speaker 5: gets worse, which tells you that third parties hurt Donald

1130
00:59:08,440 --> 00:59:11,400
Speaker 5: Trump in Pennsylvania. If those people were not on the ballad,

1131
00:59:11,560 --> 00:59:16,840
Speaker 5: or if third party vote share completely collapses, then Donald

1132
00:59:16,880 --> 00:59:20,560
Speaker 5: Trump will be the benefit benefactor of that. He will

1133
00:59:20,600 --> 00:59:24,880
Speaker 5: benefit from it. But Harris is actually benefiting right now

1134
00:59:25,280 --> 00:59:27,400
Speaker 5: from other people being on the ballot in the state

1135
00:59:27,440 --> 00:59:30,360
Speaker 5: of Pennsylvania. What that tells me is people right now

1136
00:59:30,440 --> 00:59:32,240
Speaker 5: are kind of throwing away their vote. Maybe they're not

1137
00:59:32,360 --> 00:59:34,400
Speaker 5: thrilled about either one of them, but if you were

1138
00:59:34,440 --> 00:59:37,479
Speaker 5: to take them all off the table, those people would

1139
00:59:37,640 --> 00:59:42,200
Speaker 5: vote for Trump. It also suggests that it's possible as well,

1140
00:59:42,240 --> 00:59:44,760
Speaker 5: it's not possible it is that Trump has the higher

1141
00:59:44,880 --> 00:59:49,360
Speaker 5: ceiling in Pennsylvania, and that is a problem because Biden,

1142
00:59:49,720 --> 00:59:53,240
Speaker 5: even though he was trailing, he still had a higher ceiling,

1143
00:59:53,640 --> 00:59:57,000
Speaker 5: a higher potential ceiling than Donald Trump did in Pennsylvania.

1144
00:59:57,040 --> 00:59:58,960
Speaker 5: Didn't mean he was gonna win it, but it did

1145
00:59:59,120 --> 01:00:03,240
Speaker 5: mean that he could win by a bunch. Probability was

1146
01:00:03,320 --> 01:00:07,560
Speaker 5: higher because he had more appeal than Kamala has. He

1147
01:00:07,600 --> 01:00:10,680
Speaker 5: has a more limited appeal. And they know this nothing

1148
01:00:10,720 --> 01:00:14,640
Speaker 5: I'm saying right now, the campaign doesn't know. They are

1149
01:00:14,720 --> 01:00:18,160
Speaker 5: well aware for a problem in Pennsylvania, which again why

1150
01:00:18,320 --> 01:00:21,800
Speaker 5: they are redirecting money. Last week they were considering abandoning

1151
01:00:21,880 --> 01:00:25,760
Speaker 5: the whole damn state all, you know, all together. But

1152
01:00:25,800 --> 01:00:28,680
Speaker 5: they're getting like some favorable polls from like Quinnipiac, which

1153
01:00:29,040 --> 01:00:30,720
Speaker 5: just can't poll Pennsylvania very well.

1154
01:00:30,840 --> 01:00:33,240
Speaker 2: You know, Rich, Rich, take us to Michigan. Give us

1155
01:00:33,280 --> 01:00:34,760
Speaker 2: a quick synopsis of Michigan.

1156
01:00:34,880 --> 01:00:36,400
Speaker 5: Oh damn, we are at six o four.

1157
01:00:36,480 --> 01:00:39,080
Speaker 2: No, no, no, no, it's okay, it's okay. This is important.

1158
01:00:39,240 --> 01:00:42,320
Speaker 2: This is like listen, like for everyone that's listening to this, Rich,

1159
01:00:42,360 --> 01:00:44,680
Speaker 2: while you get set up and there aren't gonna be

1160
01:00:44,840 --> 01:00:47,320
Speaker 2: that many polls left, Like there are only a couple

1161
01:00:47,320 --> 01:00:49,640
Speaker 2: of weeks left here, this is this is some of

1162
01:00:49,720 --> 01:00:52,200
Speaker 2: the final polling. Rich might have one more after this,

1163
01:00:52,360 --> 01:00:55,720
Speaker 2: like you heard him say, but most people are doing

1164
01:00:55,960 --> 01:00:59,800
Speaker 2: their final poll. Okay, So yeah, it's about I would

1165
01:00:59,800 --> 01:01:02,240
Speaker 2: go a little bit over because this is really important.

1166
01:01:02,320 --> 01:01:04,280
Speaker 2: So Michigan, here's what I want to I want to

1167
01:01:04,280 --> 01:01:10,240
Speaker 2: ask you about Michigan. It seems like Kamala is hemorrhaging

1168
01:01:10,480 --> 01:01:13,720
Speaker 2: a Muslim vote like Trump is winning them. Look and

1169
01:01:14,320 --> 01:01:18,640
Speaker 2: the non committed like they they've not endorsed Kamala and

1170
01:01:20,160 --> 01:01:24,720
Speaker 2: in the primary, like voting for the other candidates sometimes

1171
01:01:24,840 --> 01:01:30,280
Speaker 2: exceeded Biden's margin in these specific swing states Michigan included.

1172
01:01:30,600 --> 01:01:32,640
Speaker 2: So is this going to hurt Kamala in Michigan?

1173
01:01:33,040 --> 01:01:36,480
Speaker 5: Okay, so check this out. The story of Michigan is

1174
01:01:36,560 --> 01:01:40,000
Speaker 5: twofold one. It is a very small sample size, but

1175
01:01:40,160 --> 01:01:43,600
Speaker 5: again something we looked at earlier on the show. You

1176
01:01:43,720 --> 01:01:46,360
Speaker 5: can go and look that Donald Trump had basically no

1177
01:01:46,560 --> 01:01:49,560
Speaker 5: Muslim support in the state of Michigan back in twenty

1178
01:01:49,640 --> 01:01:52,320
Speaker 5: twenty in our polling, even though they were very small samples,

1179
01:01:52,400 --> 01:01:55,080
Speaker 5: he had none. Right now, he's a little over a

1180
01:01:55,200 --> 01:01:58,320
Speaker 5: quarter and that just doesn't happen all right, it just

1181
01:01:59,040 --> 01:02:01,640
Speaker 5: to say it doesn't matter if it's seventy and by

1182
01:02:01,640 --> 01:02:05,919
Speaker 5: the way, it's not seventeen interviews. We wait obviously down

1183
01:02:06,280 --> 01:02:08,800
Speaker 5: because we have spoken to more people, but they are

1184
01:02:08,840 --> 01:02:12,400
Speaker 5: weighted down for their appropriate representation. So in truth, we

1185
01:02:12,520 --> 01:02:16,320
Speaker 5: probably spoke to about forty something people that that were

1186
01:02:16,680 --> 01:02:18,680
Speaker 5: self described Muslims. By really, by the.

1187
01:02:18,640 --> 01:02:22,560
Speaker 2: Way, look, it makes sense if you're a Muslim you

1188
01:02:22,680 --> 01:02:27,760
Speaker 2: want peace, right, Trump's your guy. He sure so, not Kamala.

1189
01:02:28,080 --> 01:02:32,880
Speaker 5: We have like endorsements from community leaders and Muslim Arab

1190
01:02:33,000 --> 01:02:36,240
Speaker 5: mayors like this is like a real problem for her,

1191
01:02:36,600 --> 01:02:39,240
Speaker 5: all right, And then the question isn't only the margin,

1192
01:02:39,320 --> 01:02:41,760
Speaker 5: it's whether or not they will even come out to

1193
01:02:41,960 --> 01:02:45,080
Speaker 5: vote for her sean, And normally Muslims are among like

1194
01:02:45,640 --> 01:02:48,960
Speaker 5: Protestants and Catholics, like when they're going to vote and

1195
01:02:49,080 --> 01:02:53,360
Speaker 5: how And honestly, this eighty percent is just not good.

1196
01:02:53,880 --> 01:02:56,480
Speaker 5: It's not It sounds like a lot, but normally it's

1197
01:02:56,560 --> 01:02:59,320
Speaker 5: like eighty six, you know, eighty eight, like just with

1198
01:02:59,480 --> 01:03:03,200
Speaker 5: other Christian they're a high voting block. They are in Michigan,

1199
01:03:03,440 --> 01:03:06,160
Speaker 5: They're a high voting block. And that's just not coming out. So,

1200
01:03:07,280 --> 01:03:09,280
Speaker 5: by the way, I'm going to keep religion up because

1201
01:03:09,280 --> 01:03:13,040
Speaker 5: I think it's important. Look at the Catholic vote in Michigan.

1202
01:03:13,720 --> 01:03:18,120
Speaker 5: This is a huge reversal from twenty twenty when Joe Biden,

1203
01:03:18,160 --> 01:03:21,360
Speaker 5: who is of course a Catholic, won them, and then

1204
01:03:21,400 --> 01:03:22,840
Speaker 5: also Trump. What are the numbers?

1205
01:03:22,920 --> 01:03:23,560
Speaker 2: What are the numbers?

1206
01:03:24,760 --> 01:03:27,200
Speaker 5: Then the head to head without third parties, and we'll

1207
01:03:27,200 --> 01:03:29,760
Speaker 5: show you the third parties because it will have third parties.

1208
01:03:30,040 --> 01:03:33,720
Speaker 5: Trump is winning without undecided or five point seven, but

1209
01:03:33,800 --> 01:03:37,480
Speaker 5: Trump is winning fifty six point seven to thirty seven

1210
01:03:37,600 --> 01:03:40,520
Speaker 5: point six. Wow, this sample size is not that small.

1211
01:03:40,560 --> 01:03:42,720
Speaker 5: It's almost as much as the Protestant sample, which is

1212
01:03:42,920 --> 01:03:46,640
Speaker 5: fifty two point seven to forty three in favor of Trump.

1213
01:03:46,720 --> 01:03:48,320
Speaker 5: When you look at the oh and by the way,

1214
01:03:48,360 --> 01:03:50,960
Speaker 5: when you lean, he's winning Catholics fifty eight point five

1215
01:03:51,040 --> 01:03:53,440
Speaker 5: to forty one point five, which sounded a bit big

1216
01:03:53,560 --> 01:03:55,439
Speaker 5: to me. And then when you look at the third

1217
01:03:55,560 --> 01:03:59,520
Speaker 5: party it didn't change all that much. Fifty eight point seven,

1218
01:03:59,600 --> 01:04:03,400
Speaker 5: which means Trump lost nothing to thirty seven point four

1219
01:04:03,560 --> 01:04:07,800
Speaker 5: for Kamala. Trump's winning Protestants again by eleven percent. You

1220
01:04:07,880 --> 01:04:10,640
Speaker 5: can see the Muslim vote here. It just looks ridiculous.

1221
01:04:10,680 --> 01:04:13,080
Speaker 5: Look what they did they threw their vote away. Look

1222
01:04:13,080 --> 01:04:15,880
Speaker 5: at this, when you put everybody on the ballot, they

1223
01:04:15,960 --> 01:04:18,840
Speaker 5: threw their vote away. Those are the same people we

1224
01:04:18,960 --> 01:04:22,960
Speaker 5: spoke to who answered this question. Sean, you understand what

1225
01:04:23,000 --> 01:04:23,400
Speaker 5: I'm saying.

1226
01:04:23,560 --> 01:04:24,360
Speaker 2: Question what question?

1227
01:04:24,800 --> 01:04:27,960
Speaker 5: Okay, there was no third party choice in the initial

1228
01:04:28,400 --> 01:04:31,320
Speaker 5: ask in the initial ballad, so Kamala had a better

1229
01:04:31,400 --> 01:04:34,280
Speaker 5: margin sixty four to twenty seven. But when you give

1230
01:04:34,360 --> 01:04:37,240
Speaker 5: them the option to throw away their vote with third parties,

1231
01:04:37,520 --> 01:04:39,480
Speaker 5: they either throw it away or they go for Trump,

1232
01:04:40,240 --> 01:04:44,440
Speaker 5: and she's falls in the fifties. This is catastrophic for her.

1233
01:04:44,720 --> 01:04:47,360
Speaker 5: I don't know how anybody could claim otherwise. And by

1234
01:04:47,400 --> 01:04:50,400
Speaker 5: the way, we're not the only ones. Quinnipiac just redid

1235
01:04:50,480 --> 01:04:52,880
Speaker 5: Michigan and came out today and they are Trump plus three.

1236
01:04:53,400 --> 01:04:56,120
Speaker 5: All right, so we are not alone here. Quinnipiac is

1237
01:04:56,120 --> 01:04:59,920
Speaker 5: a left wing pull by a bunch of left wing academics,

1238
01:05:00,200 --> 01:05:04,440
Speaker 5: all right. So unbelievable, it's unbelievable. And Catholics don't budget.

1239
01:05:04,480 --> 01:05:07,680
Speaker 5: All Protestants don't budget all so it's like it's baked

1240
01:05:07,800 --> 01:05:10,920
Speaker 5: into stone. Look at that's the number one. That's one

1241
01:05:11,160 --> 01:05:13,680
Speaker 5: is the religious aspect of that number. Two is by

1242
01:05:13,760 --> 01:05:17,480
Speaker 5: region looked it up today. In our twenty twenty final

1243
01:05:17,560 --> 01:05:21,439
Speaker 5: poll in Michigan, Trump was at twenty seven or twenty

1244
01:05:21,600 --> 01:05:25,640
Speaker 5: nine percent. In Wayne County, he got thirty percent roughly

1245
01:05:25,760 --> 01:05:28,080
Speaker 5: of the vote, So we were spot on here. In

1246
01:05:28,200 --> 01:05:31,040
Speaker 5: the one without in the ballad without third parties, Trump

1247
01:05:31,160 --> 01:05:34,400
Speaker 5: is at thirty six percent in Wayne. And that's again,

1248
01:05:34,520 --> 01:05:36,720
Speaker 5: when you do better with minorities, you would expect to

1249
01:05:36,800 --> 01:05:41,120
Speaker 5: do better in heavily minority centered urban areas. And you

1250
01:05:41,200 --> 01:05:43,040
Speaker 5: will see the urban vote a second, I'll show it

1251
01:05:43,160 --> 01:05:45,320
Speaker 5: just to back it up. And then in the third

1252
01:05:45,440 --> 01:05:49,600
Speaker 5: party included ballad, Trump remains at thirty eight percent in

1253
01:05:49,680 --> 01:05:53,880
Speaker 5: Wayne County. It's just absolutely devastating for her. And we

1254
01:05:54,120 --> 01:05:56,720
Speaker 5: again would expect that if the non white vote is real,

1255
01:05:56,800 --> 01:05:58,720
Speaker 5: maybe not that high Sean, but if he ends up

1256
01:05:58,720 --> 01:06:01,200
Speaker 5: at like thirty three, thirty five percent in Wayne County,

1257
01:06:01,200 --> 01:06:04,640
Speaker 5: it's freaking over. It's over. He got thirty percent both

1258
01:06:04,720 --> 01:06:08,600
Speaker 5: times roughly. This is definitely an increase. Here's the real

1259
01:06:08,720 --> 01:06:11,920
Speaker 5: problem for her. She's only barely winning the Oakland and

1260
01:06:12,000 --> 01:06:16,640
Speaker 5: Macomb area, the combined area of Oakland and Macomb Biden.

1261
01:06:16,880 --> 01:06:19,080
Speaker 5: She's doing about as well as Biden did in Oakland

1262
01:06:19,360 --> 01:06:23,200
Speaker 5: that's not the problem. Trump kept Hillary Clinton pretty low

1263
01:06:23,240 --> 01:06:25,600
Speaker 5: in Macomb and he got about fifty eight percent of

1264
01:06:25,640 --> 01:06:29,040
Speaker 5: the vote. He is doing significantly better than that now

1265
01:06:29,480 --> 01:06:32,400
Speaker 5: and she is nowhere near Biden's support level in Macomb.

1266
01:06:32,480 --> 01:06:34,840
Speaker 5: That is the home of the Reagan Democrat. They are

1267
01:06:35,520 --> 01:06:38,920
Speaker 5: working class, a shirt certainly white working class, but all

1268
01:06:39,640 --> 01:06:43,000
Speaker 5: races of working class. Think Warren. For those who know,

1269
01:06:43,720 --> 01:06:46,680
Speaker 5: Macomb is to the west. Oakland is to the west

1270
01:06:46,720 --> 01:06:49,400
Speaker 5: of McComb in Detroit, Wayne County to the south of

1271
01:06:49,480 --> 01:06:52,120
Speaker 5: all of that. And I mean, look, this is what

1272
01:06:52,240 --> 01:06:53,960
Speaker 5: you got to do if you want to win Michigan.

1273
01:06:54,160 --> 01:06:56,360
Speaker 5: You got to use McComb and Monroe to kind of

1274
01:06:56,600 --> 01:06:59,360
Speaker 5: wash out the vote in Oakland, which he does, and

1275
01:06:59,440 --> 01:07:01,240
Speaker 5: then you got to up the vote and up and

1276
01:07:01,320 --> 01:07:04,760
Speaker 5: everywhere else basically in order to overtake the vote and

1277
01:07:04,960 --> 01:07:07,480
Speaker 5: the net vote share, the net vote gain that the

1278
01:07:07,560 --> 01:07:09,760
Speaker 5: Democrat is going to get out of Wayne. Right now,

1279
01:07:10,080 --> 01:07:13,200
Speaker 5: it looks like he's going to minimize that gain in Wayne.

1280
01:07:13,320 --> 01:07:16,320
Speaker 5: Like that net gain that they're going to post out

1281
01:07:16,320 --> 01:07:20,840
Speaker 5: of Wayne County is not looking like a typical Democrats margin.

1282
01:07:21,360 --> 01:07:23,880
Speaker 5: And then, you know, if I don't know how she

1283
01:07:24,080 --> 01:07:29,400
Speaker 5: does anything, you know, to make up for that. Kent

1284
01:07:29,560 --> 01:07:33,880
Speaker 5: County Muskegan, both of which Biden won. She is about

1285
01:07:34,000 --> 01:07:37,240
Speaker 5: even in Kent and she is trailing in Miskegan. And

1286
01:07:37,400 --> 01:07:40,320
Speaker 5: we there are certain counties in both of these states

1287
01:07:40,360 --> 01:07:44,120
Speaker 5: where we will oversample on intentionally. Obviously they'll be waited

1288
01:07:44,280 --> 01:07:47,320
Speaker 5: to be representative of their share of the vote, but

1289
01:07:47,720 --> 01:07:50,440
Speaker 5: we oversample them to know whether or not you know

1290
01:07:50,600 --> 01:07:54,160
Speaker 5: that there's these margins are are we can be confident

1291
01:07:54,200 --> 01:07:57,480
Speaker 5: in these margins in these counties. So again, you know

1292
01:07:57,600 --> 01:08:00,320
Speaker 5: he's going to win. The Southwest is obviously doing that.

1293
01:08:00,440 --> 01:08:02,680
Speaker 5: You know he's gonna win up He's obviously doing that,

1294
01:08:02,920 --> 01:08:06,760
Speaker 5: by the way, part of the Southwest, and that's Kent, Miskeigan,

1295
01:08:06,800 --> 01:08:08,840
Speaker 5: the Grand Rapids folks, where there are a bunch of

1296
01:08:09,040 --> 01:08:12,560
Speaker 5: like Dutch and Danish Republicans, silk stocking Republicans who weren't

1297
01:08:12,560 --> 01:08:15,040
Speaker 5: really sure about Trump. They went for him in sixteen,

1298
01:08:15,120 --> 01:08:17,680
Speaker 5: they're getting in twenty now they're back with him. Is

1299
01:08:17,760 --> 01:08:21,040
Speaker 5: the point here. But the real movement again all together

1300
01:08:21,120 --> 01:08:25,080
Speaker 5: with Wayne Oakland and McComb is southeastern Michigan. And I

1301
01:08:25,160 --> 01:08:27,280
Speaker 5: mean again, when you put it all together, it kind

1302
01:08:27,320 --> 01:08:30,000
Speaker 5: of makes sense. You have the sorry, you have the

1303
01:08:30,040 --> 01:08:34,280
Speaker 5: electrical car issue, right, the automobile industry issues, the UAW,

1304
01:08:34,880 --> 01:08:37,439
Speaker 5: the strife and the UAW between who they're going to support.

1305
01:08:37,640 --> 01:08:40,760
Speaker 5: The members want Trump, the leaderships wants the Democrat, right,

1306
01:08:40,960 --> 01:08:43,639
Speaker 5: so you would expect this. Biden did a very good

1307
01:08:43,720 --> 01:08:47,360
Speaker 5: job reigning union members back in. That's not really happening here.

1308
01:08:47,479 --> 01:08:49,920
Speaker 5: Speaking of which, and I'll end it with that. Let's

1309
01:08:49,960 --> 01:08:52,760
Speaker 5: go to the union vote, all right, Biden won it

1310
01:08:52,880 --> 01:08:56,040
Speaker 5: by twenty all right, if you believe the exit poles,

1311
01:08:56,479 --> 01:08:59,519
Speaker 5: it is very close. It's cut in half basically, the

1312
01:09:00,160 --> 01:09:02,679
Speaker 5: head to head with the third parties on the ballot.

1313
01:09:02,760 --> 01:09:07,439
Speaker 5: She's only winning it by six. That's Hillary Clinton bad. Actually,

1314
01:09:08,080 --> 01:09:09,920
Speaker 5: it could be worse when you look at union tight

1315
01:09:10,400 --> 01:09:14,840
Speaker 5: because Trump is actually whereas it we go down, Trump

1316
01:09:14,960 --> 01:09:19,000
Speaker 5: is actually winning the private union vote by fifty to

1317
01:09:19,120 --> 01:09:22,679
Speaker 5: forty six point eight. So you know, I mean she's

1318
01:09:22,720 --> 01:09:26,040
Speaker 5: winning public but public sector unions are state administrative, state,

1319
01:09:26,840 --> 01:09:29,479
Speaker 5: so I mean they're much more liberal. When you look

1320
01:09:29,520 --> 01:09:33,320
Speaker 5: at it, this looks like Sean, this looks like how

1321
01:09:33,400 --> 01:09:36,639
Speaker 5: Hillary Clinton lost Michigan. That's what it looks like, only worse,

1322
01:09:37,400 --> 01:09:37,960
Speaker 5: only worse.

1323
01:09:38,439 --> 01:09:40,599
Speaker 2: Wow. Okay, So if you think this is just Savage

1324
01:09:40,680 --> 01:09:44,560
Speaker 2: Rich Barris seeing these numbers, I mentioned that that the

1325
01:09:45,040 --> 01:09:47,840
Speaker 2: electorate being R plus one. Today's show reported that as

1326
01:09:47,880 --> 01:09:52,080
Speaker 2: well Kammalis performance with Black American CNN reported that as well.

1327
01:09:52,120 --> 01:09:55,080
Speaker 2: You just heard Rich report the same damn thing. But

1328
01:09:55,320 --> 01:09:59,240
Speaker 2: look at NPR's election model. Okay, this is NPR.

1329
01:10:00,240 --> 01:10:02,880
Speaker 5: The NPR is in the driver's seat. Look that's what

1330
01:10:03,120 --> 01:10:03,880
Speaker 5: NPR said.

1331
01:10:04,080 --> 01:10:06,800
Speaker 2: I want you to see something here. This is the state.

1332
01:10:06,880 --> 01:10:09,400
Speaker 2: Obviously you see the yellow in Michigan, Pennsylvania, and North

1333
01:10:09,439 --> 01:10:12,559
Speaker 2: Carolina moved to toss up. But if you come here,

1334
01:10:13,560 --> 01:10:17,400
Speaker 2: NPR had Wisconsin, you see it right there. Leaned them

1335
01:10:17,680 --> 01:10:20,880
Speaker 2: now it's toss up. Pennsylvania leaned them, now it's toss up.

1336
01:10:20,960 --> 01:10:24,280
Speaker 2: Michigan leaned them. Now it's toss up. And Arizona was

1337
01:10:24,320 --> 01:10:27,240
Speaker 2: a toss up. Now that's lean GOP. And the interesting

1338
01:10:27,320 --> 01:10:30,320
Speaker 2: thing about that, I've heard from Democrat Party insiders that

1339
01:10:30,479 --> 01:10:34,120
Speaker 2: say Arizona is just almost lost for them. But you're

1340
01:10:34,160 --> 01:10:37,920
Speaker 2: seeing NPR shift the weight of the blue wall in

1341
01:10:38,080 --> 01:10:42,639
Speaker 2: favor of Trump. You've just heard Rich report the same thing. Folks.

1342
01:10:42,800 --> 01:10:46,040
Speaker 2: This is all very very good news. So I know

1343
01:10:46,200 --> 01:10:49,200
Speaker 2: that we went over a little bit today, but in

1344
01:10:49,280 --> 01:10:52,360
Speaker 2: the homeside. Yeah, and the home of this thing. We've

1345
01:10:52,439 --> 01:10:55,320
Speaker 2: got to execute you just we just presented you the

1346
01:10:55,680 --> 01:10:57,800
Speaker 2: latest polls. Are probably not going to get a lot

1347
01:10:57,880 --> 01:11:01,160
Speaker 2: of other poles this close to a election day. Now,

1348
01:11:01,240 --> 01:11:05,760
Speaker 2: it's just about getting people out to vote. So yeah, Rich,

1349
01:11:05,840 --> 01:11:07,760
Speaker 2: you've been amazing. Tell us, tell us all where we

1350
01:11:07,800 --> 01:11:08,280
Speaker 2: can find you.

1351
01:11:09,040 --> 01:11:12,559
Speaker 5: And let me just say real quick last pew marit.

1352
01:11:12,800 --> 01:11:14,880
Speaker 5: You've noticed a lot of these Harris, a lot of

1353
01:11:14,920 --> 01:11:18,360
Speaker 5: these Harvard they're dropping their polls, their final polls, and

1354
01:11:19,080 --> 01:11:21,280
Speaker 5: in sixteen and twenty they dropped them eleven to one.

1355
01:11:21,760 --> 01:11:24,120
Speaker 5: So they're doing this because it's the safe bet. They

1356
01:11:24,240 --> 01:11:26,600
Speaker 5: know which way the momentum is moving. They're taking and

1357
01:11:26,680 --> 01:11:29,760
Speaker 5: playing the safe route, and they're not going to catch

1358
01:11:29,840 --> 01:11:31,639
Speaker 5: this last thing if they're not in the field. I'm

1359
01:11:31,680 --> 01:11:35,280
Speaker 5: telling you best place to find everything we're doing, Sean

1360
01:11:35,360 --> 01:11:38,040
Speaker 5: is People's Pundit at locals dot com. People's pundit at

1361
01:11:38,120 --> 01:11:41,719
Speaker 5: locals dot com. And just remember, folks, Trump is broke

1362
01:11:42,040 --> 01:11:42,800
Speaker 5: early here.

1363
01:11:43,080 --> 01:11:43,839
Speaker 2: This is different.

1364
01:11:43,960 --> 01:11:47,200
Speaker 5: Hillary Clinton did not start to erode until the final

1365
01:11:47,360 --> 01:11:51,120
Speaker 5: eight ten days. So Trump is his strong closer and

1366
01:11:51,200 --> 01:11:54,360
Speaker 5: he's moving faster here. And that's up. But again it

1367
01:11:54,560 --> 01:11:57,040
Speaker 5: is Seawan. You're right at the execution phase. We're just

1368
01:11:57,120 --> 01:11:59,240
Speaker 5: here telling you the numbers are there. Now, you know

1369
01:11:59,320 --> 01:12:01,479
Speaker 5: you got to do the you know you got to

1370
01:12:01,479 --> 01:12:02,080
Speaker 5: get them out there.

1371
01:12:02,840 --> 01:12:05,320
Speaker 2: Well, you've been like very very generous of your time,

1372
01:12:05,360 --> 01:12:07,360
Speaker 2: and I know when you release these polls, you're in

1373
01:12:07,520 --> 01:12:10,840
Speaker 2: high demand. Everyone's you know, clamoring to get you on

1374
01:12:10,960 --> 01:12:13,400
Speaker 2: their show. But we're always so grateful for all the

1375
01:12:13,479 --> 01:12:16,439
Speaker 2: time that you give us, especially like right around dinner time.

1376
01:12:16,520 --> 01:12:20,840
Speaker 2: So rich. Thank you, give my best Savage Laura. Thank you.

1377
01:12:20,880 --> 01:12:21,960
Speaker 2: I'll see you next Wednesday.

1378
01:12:22,560 --> 01:12:24,840
Speaker 5: Absolutely, brother, I'll see you then, all.

1379
01:12:24,800 --> 01:12:27,519
Speaker 2: Right, take care of my friend. Folks. Thank you. I

1380
01:12:27,600 --> 01:12:30,000
Speaker 2: think we had more live viewers tonight than we've ever

1381
01:12:30,120 --> 01:12:32,839
Speaker 2: had before on the show. And it's appropriate because Savage

1382
01:12:32,840 --> 01:12:36,760
Speaker 2: Wednesday is just I mean, people love Savage Wednesday. What

1383
01:12:36,920 --> 01:12:39,960
Speaker 2: can I say, do me the honor before you leave.

1384
01:12:40,080 --> 01:12:42,599
Speaker 2: Make sure you smash that like button, that little green

1385
01:12:42,640 --> 01:12:46,120
Speaker 2: thumb beneath the video. Do not forget about my locals page,

1386
01:12:46,120 --> 01:12:49,200
Speaker 2: which we are building out. Now, get over there. Whether

1387
01:12:49,280 --> 01:12:53,160
Speaker 2: you subscribe or just follow, that's fine. We want you

1388
01:12:53,360 --> 01:12:56,720
Speaker 2: as part of the conversation. There's this awesome forum over there.

1389
01:12:56,800 --> 01:12:59,920
Speaker 2: The Battleground Live Conversation where you can have like almost

1390
01:13:00,160 --> 01:13:03,200
Speaker 2: like a continuing conversation with members of the battle Crew

1391
01:13:03,240 --> 01:13:05,200
Speaker 2: throughout the day, and you all have the ability to

1392
01:13:05,280 --> 01:13:08,559
Speaker 2: post articles on there, memes on there, whatever you want,

1393
01:13:08,640 --> 01:13:11,439
Speaker 2: so make sure you follow or subscribe to my locals. Also,

1394
01:13:11,479 --> 01:13:14,599
Speaker 2: don't forget about Official Sean Parnell dot com, your one

1395
01:13:14,760 --> 01:13:18,840
Speaker 2: stop shop for all things American for America First News

1396
01:13:19,640 --> 01:13:23,400
Speaker 2: cultivated for all of you, the battle Crew. So so

1397
01:13:23,560 --> 01:13:27,280
Speaker 2: thank you all folks. Got an amazing, an amazing show

1398
01:13:27,439 --> 01:13:32,080
Speaker 2: planned for you tomorrow with doctor Zama, absolutely amazing backstory,

1399
01:13:32,200 --> 01:13:35,320
Speaker 2: world class surgeon. Also dated Kamala Harrison has some pretty

1400
01:13:35,360 --> 01:13:38,840
Speaker 2: cool stories. So make sure you're right here at five

1401
01:13:39,000 --> 01:13:43,360
Speaker 2: pm live for Battleground. We want you here way. Do

1402
01:13:43,400 --> 01:13:47,559
Speaker 2: you see doctor Zama the guys, let's just say he's

1403
01:13:47,600 --> 01:13:50,559
Speaker 2: one of a kind as all these folks. God bless

1404
01:13:50,960 --> 01:13:55,519
Speaker 2: you all, God bless this amazing country that we call home.

1405
01:13:56,000 --> 01:13:59,000
Speaker 2: Take care, good night, battle Crew, and I will see

1406
01:13:59,600 --> 01:14:03,040
Speaker 2: you tomorrow right here on Rumble at five p m.

1407
01:14:03,320 --> 01:14:05,639
Speaker 2: Eastern Standard time. Take care bye,