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Speaker 1: Welcome everybody to Battleground Live. We are almost done with

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Speaker 1: the first full week of doing the live show at

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Speaker 1: five pm. I'm super excited about it. By the way,

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Speaker 1: couldn't do this without you. So crazy things going on

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Speaker 1: in Fort Parnell. The girls, Melanie's girls are coming back

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Speaker 1: today after visiting their grandparents at the beach.

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Speaker 2: I know, a week at the beach for them, but.

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Speaker 1: They're going back to school and then my kids are

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Speaker 1: coming back as well. So Melanie and I have had

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Speaker 1: the week to ourselves and it's been kind of amazing

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Speaker 1: because it's gotten like had the time and the space

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Speaker 1: to really plan this show the right way, and she's

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Speaker 1: been able to help, and Brock from Wendy Belt Radio

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Speaker 1: has been able to help. But we're going to be

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Speaker 1: going from no kids to five kids in the blink

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Speaker 1: of an eye, and so.

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Speaker 2: I think that this weekend is going to be a

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Speaker 2: little bit of pandemonium for us.

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Speaker 1: But I'm grateful to have the kids back and the

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Speaker 1: family together again. It's awesome. I've also want to thank

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Speaker 1: Deep Well again. They're are founding sponsor this podcast. None

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Speaker 1: of this would be possible without Deep Well. If you

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Speaker 1: like your lights on in your house and cheap energy

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Speaker 1: costs and cheap gas in your car and booming economy,

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Speaker 1: and you want America to be energy independent. Thank an

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Speaker 1: energy worker. And by the way, deep Well is hiring.

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Speaker 1: They're hiring sixty to eighty people just this year alone.

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Speaker 1: And if you're willing to work, I mean, you could

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Speaker 1: start there making fifty grand a year, and if you

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Speaker 1: stay on their educational track, at the end of five years,

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Speaker 1: you could be making over two hundred and fifty thousand

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Speaker 1: dollars in the energy industry for deep Well. It's an

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Speaker 1: amazing company, great culture. Couldn't be more grateful to them

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Speaker 1: for sponsoring this podcast and believing in me. And so

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Speaker 1: thanks to deep Well. We love you all. I also

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Speaker 1: want to say, make sure that you rumble that little

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Speaker 1: green thumb at the bottom. I mean, that's really important.

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Speaker 1: And I tell I've told you all this week that

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Speaker 1: you know some of the computer geeks at Rumble that

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Speaker 1: process and do a whole heck of a lot of

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Speaker 1: stuff that I don't quite understand. This the liking stuff

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Speaker 1: is really important, and so do that. Make sure you

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Speaker 1: comment in the actual live chat and in the comments.

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Speaker 1: I'll make sure that I come through after the show

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Speaker 1: and answer any questions that you might have. And lastly,

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Speaker 1: don't forget about Official Sean Parnell rolling out Battleground a

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Speaker 1: Peril Company, which is a lifestyle brand you know of

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Speaker 1: like minded patriots across this country that are singularly focused

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Speaker 1: on saving America. You see one of the shirts that

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Speaker 1: I'm wearing today, do not comply obviously designed in the

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Speaker 1: wake of COVID and vaccine mandates and all the insanity

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Speaker 1: that ensued during that time period in this country. If

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Speaker 1: you believe in saving this country, then Battleground a Peril Company.

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Speaker 1: In this company, it's for you, and we want you

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Speaker 1: on board. We want you to be a part of

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Speaker 1: our family. So be sure to go to Official Sean

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Speaker 1: Parnell dot com and grab the shirts. They're running low,

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Speaker 1: because of course a week on the Wendy Belt Radio

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Speaker 1: program will do that. With the crazy, active and patriotic

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Speaker 1: audience that she has, I mean, just amazing people all around.

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Speaker 1: But it has been a crazy, crazy day. I mean,

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Speaker 1: we had a show planned for you all, probably earlier

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Speaker 1: in the day, and after just a couple of hours

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Speaker 1: I mean I think maybe an hour before the show,

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Speaker 1: I'm like, oh my gosh, all this news broke, we

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Speaker 1: didn't really know what to do, so we scrapped everything

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Speaker 1: and cobbled together our brand new show for you.

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Speaker 2: Later in the.

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Speaker 1: Show about probably in about fifteen to twenty minutes, I'm

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Speaker 1: gonna have the great Rich Barris on. Rich Barris is

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Speaker 1: the people's pundit. I think he's one of the best

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Speaker 1: posters in the business. He's got his ear to the

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Speaker 1: ground on a great many things, and a whole slew

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Speaker 1: of new polls came out today. Well to make sure

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Speaker 1: that you have him here first on Battleground Live. He's

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Speaker 1: a great guest. If you've probably you've probably seen him

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Speaker 1: on Twitter. But I had him on the Wendy Bell

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Speaker 1: Radio program last week and people loved him so much

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Speaker 1: that they wanted him to stay around for three segments.

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Speaker 1: So we've got him again this week. But folks, I'm

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Speaker 1: going to talk about Maui and what's going on there.

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Speaker 1: You know, there are times, you know, there are times

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Speaker 1: in combat where a leader is born, and I learned

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Speaker 1: this so many times over when I was in Afghanistan

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Speaker 1: from just the great people that I had all around me.

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Speaker 1: My first experience with this was from my battalion commander.

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Speaker 1: We had just gotten on the ground in Afghanistan, and

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Speaker 1: you know, up until that point, I had done everything

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Speaker 1: that I could to get my feet wet as a leader,

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Speaker 1: especially in garrison, but you can only really do so much.

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Speaker 1: I mean, an officer's job in garrison for the most

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Speaker 1: part is the lead the way in training and to

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Speaker 1: do a lot of paperwork. And as I like, as

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Speaker 1: my non commission officer used to tell me, is that

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Speaker 1: your job is just to be a BS filter to

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Speaker 1: keep higher off of our back so that we can

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Speaker 1: train the troops and be ready when we go to war.

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Speaker 1: I always tried to be the best leader that I

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Speaker 1: could be in garrison. But the reality is is that

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Speaker 1: a young platoon leader, I was a commander, a commander

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Speaker 1: so to speak of forty men. And this is back

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Speaker 1: at a time in the infantry where there was just men.

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Speaker 1: But it's an awesome responsibility where any decision that you

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Speaker 1: make could put one of your soldiers, God forbid if

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Speaker 1: it's a bad decision, in a body bag. And I

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Speaker 1: always tried to do everything that I needed to do for.

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Speaker 2: Those troops to be a good leader.

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Speaker 1: And then you get to Afghanistan and you learn real

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Speaker 1: quickly that you really don't know anything, and you rely

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Speaker 1: on the men around you to help teach, coach and

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Speaker 1: mentor you every step of the way. But there are

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Speaker 1: moments in combat where leaders are born, where you prove

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Speaker 1: your worth, where the rubber meets the road and lives

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Speaker 1: are on the line. You get one shot, one shot

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Speaker 1: to lead your troops in those moments or fail them.

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Speaker 1: And if you fail them, you don't get another shot.

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Speaker 1: Your troops rarely will ever have confidence in your leadership

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Speaker 1: ability again. And I learned this. You know, our base,

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Speaker 1: I think in April of two thousand and six got hit.

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Speaker 1: Now we had taken some you know, rocket attacks, mortar attacks,

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Speaker 1: maybe gotten a couple of direct fire engagements, but nothing

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Speaker 1: really serious yet this is April of two thousand and six,

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Speaker 1: and so our base had got hit with a massive

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Speaker 1: vehicle born improvised explosive device, something that we call a VBID.

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Speaker 1: And it was a white station wagon that our guards

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Speaker 1: up in the guard towers of our base saw loitering

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Speaker 1: around the bizarre outside of our forward operating base. It

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Speaker 1: was weighed down. Every time it hit a bump, the

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Speaker 1: shocks would screech. I mean, you could tell it was

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Speaker 1: packed full of something and it was just erratic as

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Speaker 1: it was driving. A few minutes, we started getting calls

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Speaker 1: into our base for our battalion commander, his name is

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Speaker 1: Chris Toner, to go outside and you know, hey, the

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Speaker 1: police chief wants to meet with you.

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Speaker 2: The village alder wants to meet with you.

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Speaker 1: Come outside to the to the main gate of the

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Speaker 1: Ford Operating Base and meet with him. But even something

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Speaker 1: about this didn't quite feel right, and so of course

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Speaker 1: we didn't send our battalion commander, who was down in

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Speaker 1: the base on our Ford Operating Base visiting the troops

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Speaker 1: for the day. About twenty minutes pass by and I'm

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Speaker 1: standing outside of our dining facility and I just hear

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Speaker 1: a massive, massive explosion. You know again, I had heard

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Speaker 1: one of seven millimeters rockets go off during the four

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Speaker 1: months that I was in country, but nothing like this.

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Speaker 1: I mean, the explosion sucked the air out of my lungs.

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Speaker 1: I mean, it was just you could feel the concussion

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Speaker 1: from two hundred yards away. It just shook my bones.

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Speaker 1: You could smell and feel the black acred smoke as

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Speaker 1: it rose up into the air, and all hell broke

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Speaker 1: loose on the base and come to find out that

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Speaker 1: a vehicle born improvised explosive device that car that station wagon.

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Speaker 1: The reason why it was weighed down the way that

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Speaker 1: it was was because it was packed full of one

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Speaker 1: thousand pounds of explosive and it rammed headlong into our

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Speaker 1: main gate. And I stood there. Now, again, you try

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Speaker 1: to be a good leader in garrison, right, you do

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Speaker 1: everything that you can, but when people's lives are on

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Speaker 1: the line and you're in combat and you get attacked,

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Speaker 1: everyone's running this way and that, it's just absolute chaos.

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Speaker 1: And when you're in those moments, it's almost like if

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Speaker 1: you imagine looking through a kaleidoscope and turning that kaleidoscope,

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Speaker 1: it's like the moment almost kaleidoscopes around you. And so

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Speaker 1: you can get really overwhelmed in moments like that, and

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Speaker 1: I certainly felt like that as a young leader, I

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Speaker 1: didn't really know what the hell to do. I knew

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Speaker 1: what the training said, but again, sometimes the situation that

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Speaker 1: happens in real life, you don't find it in a

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Speaker 1: training manual. So what I did in those moments was

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Speaker 1: look to my leaders to try to find inspiration on

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Speaker 1: what to do. And in this case, I looked at

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Speaker 1: my commander, my battalion commander, Chris Toner, and I saw him,

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Speaker 1: no joke. As soon as that explosive, as soon as

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Speaker 1: that suicide bomber blew himself up at the front gate, man,

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Speaker 1: I saw that guy do a forty yard dash as

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Speaker 1: fast as humanly possible to the front gate. Now this

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Speaker 1: is a colonel, this is a lieutenant colonel. So at

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Speaker 1: the time I was in an O two, he's at five,

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Speaker 1: in charge of a task force, in charge of thousands

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Speaker 1: of troops. This guy, seconds after the explosion, is running

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Speaker 1: headlong into the shot in the shell and the death

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Speaker 1: and destruction so that he could lead from the front.

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Speaker 1: Then I saw my battalion command, Sergeant major, who has

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Speaker 1: built like a fire hydrant, one of the toughest people around,

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Speaker 1: chasing after him, say sir, sir, wait, stop, we stop.

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Speaker 1: We need you back here leading from the tactical operations

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Speaker 1: center and coordinating this effort.

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Speaker 2: You get.

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Speaker 1: And so I learned in that moment that sometimes when

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Speaker 1: when shit hits the fan, rank doesn't matter, your position

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Speaker 1: doesn't matter, your station doesn't matter. The only thing that

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Speaker 1: people want to see is you leading from the front,

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Speaker 1: You being involved and not detached, and in this instance,

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Speaker 1: Colonel Toner was that for me, and so I followed

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Speaker 1: him and I got down there and the Afghan National

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Speaker 1: Army was just tore up. It was really like my

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Speaker 1: first large scale experience with death. I mean still to

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Speaker 1: this day. I see, I see, you know, an Afghan

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Speaker 1: National Army soldier laying on his back on an Israeli

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Speaker 1: litter with a car bumper sticking out of his neck

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Speaker 1: and they're whole. You know, if you've you've learned, you

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Speaker 1: know anything about puncture wounds, you know you're not supposed

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Speaker 1: to pull it out. Well, this guy's puncture wound was

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Speaker 1: a car bumper that was stuck into the side of

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Speaker 1: his neck. And he's laying on his side on an

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Speaker 1: Israeli litter, soldiers on either side running him to the

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Speaker 1: aide station holding this car bumper. The look in his

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Speaker 1: eyes was just horrible. I just knew he was going

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Speaker 1: to die. And there were probably ten Afghan National Army

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Speaker 1: soldiers twelve Afghan National Army soldiers that were just in

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Speaker 1: real rough shape. But my battalion commander was right there

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Speaker 1: was helping to carry those troops to the aide station.

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Speaker 1: He led from the front had blood on his uniform,

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Speaker 1: And all throughout my deployment, I learned and drew inspiration

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Speaker 1: from my troops and those around me in moments of

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Speaker 1: great stress, when life and death is on the line.

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Speaker 1: I had a medic who was shot in the face

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Speaker 1: during an engagement for a six seven hour engagement where

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Speaker 1: we were overwhelmed, and he never quit once. He was

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Speaker 1: everywhere we needed him to be treated. Twelve thirteen casualties

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Speaker 1: that day. The last person that he treated was himself

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Speaker 1: or my squad leader, who was always on point everywhere

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Speaker 1: we went. Point means he's walking at the front of

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Speaker 1: the formation one of the most dangerous areas on the planet.

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Speaker 1: His name is Chris Cowen. Never wavered from that fight.

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Speaker 1: He led from the front. He was there, he was involved,

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Speaker 1: He wasn't detached. And so when I look at what's

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Speaker 1: happening with this situation in Maui and the devastating wildfires

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Speaker 1: that we've seen in that country or in that state

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Speaker 1: and on that island, I mean, I've never seen If

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Speaker 1: you look at some of the pictures, it just looks apocalyptic.

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Speaker 1: Over one hundred dead right now. I think some of

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Speaker 1: the estimates are saying that there are probably thousands dead,

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Speaker 1: but it's just taking a long time to identify the

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Speaker 1: bodies because they were consumed by the flames. But I

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Speaker 1: think a lot of those people who were killed in

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Speaker 1: those fires are children. And what I've seen out of

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Speaker 1: the Biden administration is crickets, absolutely nothing. And the reason

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Speaker 1: why this is just so important to me and I

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Speaker 1: thought like I needed to lead the show off with this,

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Speaker 1: is because the reality is is, look when disaster strikes. Yes,

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Speaker 1: I am a partisan guy. I can't stand Joe Biden,

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Speaker 1: but I've been in life and death situations. I've been

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Speaker 1: at the center of a crisis where I've just told you,

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Speaker 1: in moments like that, can kalid a scope around you.

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Speaker 1: It can be overwhelming. That's why they call it the

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Speaker 1: fog of war. It's very difficult to penetrate that veil

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Speaker 1: when you're in the thick of it. And so I

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Speaker 1: tried to extend that same professional courtesy and grace to

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Speaker 1: Joe Biden as he's the commander in chief. Right in commander,

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Speaker 1: that phrase commander in chief, it predisposes the chief part.

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Speaker 1: And I'd like to think that that term commander is

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Speaker 1: I'd like to believe, well, it should be should not

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Speaker 1: be political. You know, because if you're a commander in

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Speaker 1: the military leadership position, if you're a leader of Americans,

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Speaker 1: it's revered. I mean when I tell young rotc soldiers

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Speaker 1: and cadets from West Point, when I go and talk

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Speaker 1: to them, it's like, Hey, if you are here because

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Speaker 1: you're looking to get your college paid for, you think, yeah,

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Speaker 1: you're going to do four years and get a great

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Speaker 1: job at some consulting firm and make millions of dollars.

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Speaker 1: You're not here for the right reasons, because this job

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Speaker 1: about being a leader in military where you could find

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Speaker 1: yourself in combat and then being a commander of even

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Speaker 1: more troops. You're not doing this for college credit. You're

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Speaker 1: not doing it for a job after. You have to

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Speaker 1: be willing to lay your life down for your troops

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Speaker 1: at a moment's notice. That's the commitment level that I

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Speaker 1: need out of you as a leader and commander in

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Speaker 1: the United States Armed Forces. And Joe Biden is our

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Speaker 1: commander in chief. He's the commander of all of our military,

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Speaker 1: of every branch, of every single person who raises their

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Speaker 1: right hand and volunteers to serve our great country. He's

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Speaker 1: in charge of all of them. Commander predisposes the word chief,

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Speaker 1: But over the last what five days, I've not seen

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Speaker 1: him say a damn thing. In fact, every single time

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Speaker 1: he's been asked by the media in the wake of

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Speaker 1: these horrific fires and again hundreds dead, thousands missing, most

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Speaker 1: of which your children burned alive, federal aid that's been delayed.

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Speaker 1: Where the hell is FEMA? You know, the media have

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Speaker 1: lots of negative things to say about them, but they've

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Speaker 1: been asking them. We've got the video for it. We've

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Speaker 1: got three different video clips of Joe Biden being asked

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Speaker 1: about MAUI. You know what he said, crickets.

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Speaker 2: Let's roll. Let's let's roll the first clip.

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Speaker 1: Actually, let's just roll through all three because I want

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Speaker 1: you all to see how he's responded to this crisis

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Speaker 1: where Americans are dead. Couldn't roll the tape, Well, you

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Speaker 1: can talk about the whoires lots of mister president, no comment,

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Speaker 1: no comment. He was asked again, Let's go ahead and

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Speaker 1: roll the second clip and the third clip. The third

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Speaker 1: time he's asked is gold and roll the tape?

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Speaker 3: Can you come talk about Malie? Can you come talk about.

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Speaker 1: Mallie Vin President, He's completely m I a as Americans

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Speaker 1: are suffering. Can you imagine? Can you imagine what the

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Speaker 1: the media would do and say about Donald Trump if

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Speaker 1: he's riding a bicycle. Wow, A state is burning, hundreds

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Speaker 1: of Americans, thousands missing, many of whom are children who

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Speaker 1: were burned alive. Where is Joe Biden? Where is the

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Speaker 1: media reporting on this? It's Joe Biden's job to lead

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Speaker 1: from the front in these moments this country, Our country

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Speaker 1: needs him to be able to lead through tumultuous times

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Speaker 1: like this, and the fact that he hasn't even he

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Speaker 1: can't even be bothered to comment when you look at

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Speaker 1: his The director of FEMA was asked questions in the

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Speaker 1: White House press briefing. She seemed woefully unprepared, taking three

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Speaker 1: or four days to get them federal aid.

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Speaker 2: How is this thought a much bigger scandal?

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Speaker 1: I don't know, but it seems like Joe Biden being

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Speaker 1: mia is just a microcosm of everything about this fake administration,

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Speaker 1: from him being mi Ia in Maui to the horrific

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Speaker 1: disaster that's unfolding before our eyes every single day.

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Speaker 2: There two.

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Speaker 1: Now we find out that James Comer, who, by the way,

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Speaker 1: is it seems to me one of the few Republicans

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Speaker 1: in the House of Representatives that is on the offense

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Speaker 1: with Biden.

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Speaker 2: The guy is relentless and kudos to him for doing it.

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Speaker 1: Republicans that are watching this show take a page out

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Speaker 1: of his book. It's time for us to start fighting

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Speaker 1: back against this corrupt Mia administration. It's absolutely a joke.

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Speaker 1: But House Oversight Committee James Comer, and this is such

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Speaker 1: a huge story, should be leading, should be in the

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Speaker 1: A block of every national news outlet in the country tonight,

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Speaker 1: but of course it won't be. But James Comer uncovered

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Speaker 1: a pseudonym that Joe Biden used as Vice President that

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Speaker 1: was applied in an email with his son, Hunter Biden.

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Speaker 1: Comber recently revealed Biden's pseudonym. Do you want to know

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Speaker 1: what it is? It's right there in the title Robert L. Peters,

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Speaker 1: which was using an email with Hunter Biden copied in it.

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Speaker 1: Bideno email was Robert dot L dot Peters at PCI

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Speaker 1: dot gov. Now, the reason why this is important is

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Speaker 1: because Comer had put in a Foyer request for all

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Speaker 1: unredacted communications from Joe Biden to investigate his dealings in

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Speaker 1: Ukraine and investigate his dealings in China and investigate the

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Speaker 1: Biden family, the Biden crime family syndicate selling influence to

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Speaker 1: countries who hate us. I mean, of course, we know

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Speaker 1: now that Biden is on the take from Ukraine. We

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Speaker 1: know that Hunter Biden's taking eighty plus thousand dollars from Barisma,

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Speaker 1: the Ukrainian energy company, despite having no knowledge.

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Speaker 2: Of energy whatsoever.

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Speaker 1: We know that the Biden administration taking money from the

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Speaker 1: communist Chinese. Hunter Biden was given a bag full of

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Speaker 1: diamonds by them. How many people that you know are

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Speaker 1: on the up and up get paid in bags full

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Speaker 1: of diamonds? If you and I were paid in bags

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Speaker 1: full of diamonds in the government found out, you think

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Speaker 1: that I'd be talking to you in a podcast right now.

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Speaker 1: You think that you'd be listening to this podcast right now. No,

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Speaker 1: you'd be in jail. But if you're a member of

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Speaker 1: the Biden crime family syndicate, you can get away scott free.

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Speaker 1: But the reason why this is important is it Comer

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Speaker 1: did a freedom of information request that contained the name

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Speaker 1: Joe Biden. Well nothing for Ralph Robert Peters showed up.

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Speaker 1: This is a huge story, But isn't it interesting that

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Speaker 1: Robert Peters is a fake name as a pseudonym for

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Speaker 1: Joe Biden. But everything about this administration is fake. Everything

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Speaker 1: about this administration doesn't add up. Do you remember his

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Speaker 1: Nuclear Energy person is appointee, the dude that dressed a

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Speaker 1: chick that was bald and had the mustache and stole

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Speaker 1: women's clothing out of their luggage and airports.

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Speaker 2: Remember that?

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Speaker 1: Total fake? How about KJP, the worst White House Press

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Speaker 1: secretary in the history of the world. We found out

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Speaker 1: the other day that it's not Joe Biden tweeting from

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Speaker 1: his official account as president, it's her. She accidentally put

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Speaker 1: out a tweet that was meant to be on Joe

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Speaker 1: Biden's timeline. You have Barack Obama, and this is a

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Speaker 1: story that I'm going to cover once I wrap my

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Speaker 1: head around the enormity of it. But you have Barack

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Speaker 1: Obama living in a mansion in DC, the only president

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Speaker 1: ex president to live at the heart of DC.

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Speaker 2: Now.

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Speaker 1: Earlier on they said he was living there because of

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Speaker 1: his daughter, Sasha, But Sasha graduated a long time ago.

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Speaker 1: Why the hell is he still there? Why the hell

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Speaker 1: are senior members of the Biden administration meeting with Obama

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Speaker 1: in his mansion in DC on the regular all the time.

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Speaker 1: Why hasn't the media asked any questions about this? I

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Speaker 1: know every damn movement of the Kardashians, they stake them

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Speaker 1: out everywhere that they go. But there's a president meeting

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Speaker 1: with an ex president and Obama meeting with senior Biden

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Speaker 1: staffers in DC. Surely somebody from the DC Press Corps

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Speaker 1: can snap a picture of that, or at least ask

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Speaker 1: why they're having those meetings in the first place. How

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Speaker 1: much influence does the Obama administration or ex President Obama

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Speaker 1: have in the Biden administration. I mean, we know from

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Speaker 1: the White House log that his staff, his ex staff

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Speaker 1: is in and out of that of the Biden administration.

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Speaker 1: We know that John Podesta was just in the White

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Speaker 1: House yesterday. John Podesta part of Team Obama, was part

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Speaker 1: of Team Clinton. Now he's creepy. John Podesta is in

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Speaker 1: the Biden White House. We know that Susan Rice is

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Speaker 1: still involved. We know that John Carey is still involved.

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Speaker 1: We're getting a sense now of who's really running the

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Speaker 1: show behind the curtain. While Joe Biden is on a

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Speaker 1: beach in Delaware saying no comment when questioned about Maui.

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Speaker 1: He's been on vacation for what three hundred and forty

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Speaker 1: days of his presidency. I mean, honestly, maybe it's a

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Speaker 1: good thing at this point that Joe Biden's not around,

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Speaker 1: because he's responded to this crisis in Maui with a shocking,

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Speaker 1: a shocking.

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Speaker 2: Lack of empathy.

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Speaker 1: And if you think back to what I talked about

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Speaker 1: on the Wendy Bell radio program last week about how

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Speaker 1: he's responded to some of the gold Star families, families

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Speaker 1: who had or marines or soldiers who lost their lives

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Speaker 1: during the Afghan surrender, we knew that Joe Biden didn't

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Speaker 1: respond to those parents even using the names of their

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Speaker 1: loved ones who passed away, who were killed, and he

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Speaker 1: would immediately pivot to I know how you feel. I know,

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Speaker 1: my son died in a ret No, your son didn't

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Speaker 1: die in Iraq. I mean, it's tragic that your son died,

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Speaker 1: But there's a difference between dying in Iraq and being

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Speaker 1: at his bedside and having him die of cancer, which

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Speaker 1: of course it sucks, but there's a difference. So maybe

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Speaker 1: it's better that he's kind of detached and none involved,

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Speaker 1: because he's just so pathetic.

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Speaker 2: In every way.

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Speaker 1: I can imagine a scenario with him going to Maui

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Speaker 1: and telling survivors who lost their children, Oh well, I

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Speaker 1: know how you feel. I lost my son in a wildfire.

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Speaker 1: He's so whacked out of his gord he might just

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Speaker 1: say such a thing. But this country deserves so much

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Speaker 1: better than what we're getting from Joe Biden. So I

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Speaker 1: want you to focus on the pseudonym Robert Peters. Okay,

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Speaker 1: and I want to roll this video from Raheem Cassam

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Speaker 1: where he and Jesse Kelly talked about the nickname Pedo Peter.

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Speaker 1: Do you remember last year, maybe a year and a

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Speaker 1: half ago, when the Hunter Biden laptop story was in

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Speaker 1: the media, but the mainstream media wasn't reporting on it,

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Speaker 1: and there was this text message what we think was

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Speaker 1: a text message from Hunter Biden referring to a guy

434
00:24:24,920 --> 00:24:27,200
Speaker 1: as Pedo Peter, and a lot of the people who

435
00:24:27,200 --> 00:24:30,200
Speaker 1: were stringing together the information that was on this laptop

436
00:24:30,280 --> 00:24:33,159
Speaker 1: believe that the Biden family were members of the Biden

437
00:24:33,240 --> 00:24:35,920
Speaker 1: family referred to Joe Biden as Pedo Peter. But hey,

438
00:24:35,960 --> 00:24:38,960
Speaker 1: hell gosh, well, because of course he sniffs kids. And

439
00:24:39,680 --> 00:24:42,200
Speaker 1: you know, we remember Ashley Biden's diary where he's showering

440
00:24:42,200 --> 00:24:45,400
Speaker 1: with her as a little girl. Absolutely sick, disgusting, freak

441
00:24:45,440 --> 00:24:49,199
Speaker 1: this Joe Biden is. But I think we made the

442
00:24:49,200 --> 00:24:52,200
Speaker 1: correlation to Joe Biden because of the term pedo, because

443
00:24:52,240 --> 00:24:55,320
Speaker 1: of how he treats how he treats small children. But

444
00:24:55,440 --> 00:24:59,359
Speaker 1: now with the name Peter, does it not come full

445
00:24:59,400 --> 00:25:04,240
Speaker 1: circle that now we know that Joe Biden was using

446
00:25:04,280 --> 00:25:08,800
Speaker 1: a pseudonym called Robert L. Peters. Isn't that interesting? So

447
00:25:09,119 --> 00:25:11,959
Speaker 1: I want you to see this clip from Raheema. Raheem

448
00:25:11,960 --> 00:25:13,840
Speaker 1: put it out today on Twitter, but I thought it

449
00:25:13,880 --> 00:25:16,000
Speaker 1: was interesting enough to share with you where Raheem called

450
00:25:16,000 --> 00:25:17,720
Speaker 1: this out with Jesse Kelly a four year.

451
00:25:17,600 --> 00:25:19,440
Speaker 2: Ago and we're just waiting on the media to report it.

452
00:25:19,520 --> 00:25:21,360
Speaker 2: Let's go and roll the date Paul Chan.

453
00:25:21,560 --> 00:25:24,720
Speaker 4: By the way, this website that has found all of

454
00:25:24,760 --> 00:25:28,000
Speaker 4: this information, or rather that was used to upload all

455
00:25:28,040 --> 00:25:30,560
Speaker 4: of this information to have been going through a lot

456
00:25:30,560 --> 00:25:34,639
Speaker 4: of the contacts in the iCloud backups, and it's still

457
00:25:34,680 --> 00:25:38,560
Speaker 4: not entirely clear whether or not this was a device

458
00:25:38,600 --> 00:25:42,240
Speaker 4: that belonged to Hunter or belonged to one of the

459
00:25:42,920 --> 00:25:46,360
Speaker 4: children of either Hunter or Bo Biden.

460
00:25:47,000 --> 00:25:47,960
Speaker 2: So Peter Peter.

461
00:25:48,200 --> 00:25:50,520
Speaker 4: Right now, there are two theories about this. I have

462
00:25:50,600 --> 00:25:53,200
Speaker 4: a theory, which is that actually when I first went

463
00:25:53,240 --> 00:25:55,520
Speaker 4: through the laptop, I found out and we published a

464
00:25:55,560 --> 00:25:58,200
Speaker 4: story on this on The Pulse about two years ago.

465
00:25:58,280 --> 00:25:59,040
Speaker 2: Now that.

466
00:26:00,480 --> 00:26:04,439
Speaker 4: Peter Henderson is the nickname of Joe Biden. The family

467
00:26:04,520 --> 00:26:07,520
Speaker 4: uses that nickname for him, He uses that nickname for himself.

468
00:26:07,520 --> 00:26:09,880
Speaker 4: He has an email address that corresponds with that nickname,

469
00:26:10,119 --> 00:26:15,480
Speaker 4: and so when Pedo Pete came up, I immediately went

470
00:26:15,520 --> 00:26:18,280
Speaker 4: to this information on Oh my Goodness, the family refers

471
00:26:18,320 --> 00:26:20,320
Speaker 4: to the President of the United States as a pedophile.

472
00:26:21,119 --> 00:26:23,240
Speaker 4: The other theory about this is that is one of

473
00:26:23,240 --> 00:26:26,600
Speaker 4: the children's devices and it was actually engaged in a

474
00:26:26,760 --> 00:26:30,080
Speaker 4: text message chain that looked like it came from Hunter himself.

475
00:26:30,119 --> 00:26:33,800
Speaker 4: So another theory goes that Hunter is Pedo Peter. But

476
00:26:33,880 --> 00:26:37,240
Speaker 4: I think we want answers to this question because now

477
00:26:37,280 --> 00:26:41,520
Speaker 4: we've seen the Ashley Biden diary and the FBI effectively

478
00:26:41,560 --> 00:26:45,600
Speaker 4: corroborated that by raiding Project Veritas's headquarters for it. We

479
00:26:45,880 --> 00:26:48,080
Speaker 4: know all the details of the laptop from Hell and

480
00:26:48,080 --> 00:26:50,680
Speaker 4: what's on there, and now we've see I mean, we

481
00:26:50,720 --> 00:26:53,560
Speaker 4: obviously know how Joe Biden has comported himself in public

482
00:26:53,640 --> 00:26:56,840
Speaker 4: quite freely over the last several decades, and now this.

483
00:26:57,200 --> 00:26:58,000
Speaker 2: Pedo, Peter.

484
00:26:58,480 --> 00:27:02,520
Speaker 4: So, when will a corporate media news organization that tells

485
00:27:02,600 --> 00:27:05,000
Speaker 4: us that they print all the news that's fit bother

486
00:27:05,160 --> 00:27:08,280
Speaker 4: to dig their hands into their grubby hands, by the way,

487
00:27:08,320 --> 00:27:11,920
Speaker 4: into this and get some real answers about why the

488
00:27:11,960 --> 00:27:15,480
Speaker 4: family of Joe Biden is referring to somebody in that

489
00:27:15,520 --> 00:27:17,160
Speaker 4: family as p do Peter.

490
00:27:18,720 --> 00:27:23,440
Speaker 1: So, first of all, how many aliases does Joe Biden need?

491
00:27:23,520 --> 00:27:26,080
Speaker 2: And by the way, by the way.

492
00:27:26,280 --> 00:27:30,679
Speaker 1: If the business that he was conducting with Ukraine and

493
00:27:30,680 --> 00:27:34,520
Speaker 1: with the CCP and again all these countries who don't

494
00:27:34,640 --> 00:27:36,960
Speaker 1: like us, who despise us, and they made millions of

495
00:27:37,000 --> 00:27:39,199
Speaker 1: dollars from these countries illegally.

496
00:27:39,720 --> 00:27:41,600
Speaker 2: But if, of course what they were.

497
00:27:41,440 --> 00:27:43,159
Speaker 1: Doing was on the up and up, why do you

498
00:27:43,240 --> 00:27:46,200
Speaker 1: need multiple different aliases to conduct that business?

499
00:27:46,960 --> 00:27:49,200
Speaker 2: Why are you trying to conceal what you're doing?

500
00:27:49,240 --> 00:27:51,159
Speaker 1: So the interesting thing is is that you learned in

501
00:27:51,160 --> 00:27:55,040
Speaker 1: that video with Raheem that Peter Henderson was an email

502
00:27:55,080 --> 00:27:56,320
Speaker 1: alias that Joe Biden used.

503
00:27:56,359 --> 00:27:57,520
Speaker 2: Peter Robert L.

504
00:27:57,560 --> 00:27:59,840
Speaker 1: Peters is the alias that we just found out that

505
00:28:00,040 --> 00:28:02,040
Speaker 1: you just broke today that Joe Biden was using the

506
00:28:02,160 --> 00:28:05,639
Speaker 1: name Peter is associated in both of those things. So

507
00:28:05,680 --> 00:28:08,840
Speaker 1: it stands the reason that Peter Peter, well, of course

508
00:28:08,880 --> 00:28:12,760
Speaker 1: we don't know. This is just speculation, but Peter Peter's

509
00:28:12,840 --> 00:28:17,399
Speaker 1: probably Joe Biden. They're referring his family or whoever was

510
00:28:17,440 --> 00:28:19,920
Speaker 1: talking about Peter Peter on the Hunter Biden Laptop from

511
00:28:19,920 --> 00:28:25,280
Speaker 1: Hell was likely referring to Joe Biden. Absolutely crazy, absolutely

512
00:28:25,320 --> 00:28:28,600
Speaker 1: crazy story. One last thing before I get to our

513
00:28:28,640 --> 00:28:33,200
Speaker 1: amazing guest is a piece of sound from New Gingrids

514
00:28:33,240 --> 00:28:35,159
Speaker 1: that would just blow your mind, as if all of

515
00:28:35,200 --> 00:28:37,800
Speaker 1: the stuff that I've told you isn't concerning enough about

516
00:28:37,880 --> 00:28:40,840
Speaker 1: Joe Biden, just from the taking millions upon millions of

517
00:28:40,880 --> 00:28:42,960
Speaker 1: dollars from countries who hate us, and just the outreak

518
00:28:43,040 --> 00:28:45,880
Speaker 1: corruption that is woven into the fabric of his administration

519
00:28:46,400 --> 00:28:49,479
Speaker 1: to now these political persecutions that are happening all across

520
00:28:49,480 --> 00:28:52,000
Speaker 1: this country. And by the way, don't forget the shifting

521
00:28:52,080 --> 00:28:56,200
Speaker 1: narrative that anchors are asking Republicans like, well, wow, look,

522
00:28:56,240 --> 00:28:59,280
Speaker 1: I mean there are like one hundred charges here, like sure,

523
00:28:59,320 --> 00:29:03,040
Speaker 1: some of them bogos, but all of them can't possibly

524
00:29:03,080 --> 00:29:06,080
Speaker 1: be bogus. Right, The answer to that question, my fellow

525
00:29:06,120 --> 00:29:10,440
Speaker 1: Republicans and Conservatives is yes, they're all bogus. And because

526
00:29:10,600 --> 00:29:13,400
Speaker 1: if what is bogus, then I think it stands to reason,

527
00:29:13,880 --> 00:29:17,600
Speaker 1: logically speaking, that all of them are probably bogus as well.

528
00:29:17,960 --> 00:29:22,120
Speaker 1: The entire thing is one huge political persecution, and the

529
00:29:22,240 --> 00:29:24,800
Speaker 1: stuff that you're going to hear from Newt Gingrich's next

530
00:29:25,040 --> 00:29:27,320
Speaker 1: proves it. Let's go ahead and roll that tape.

531
00:29:27,240 --> 00:29:30,200
Speaker 5: That I am told. This is hearsay, but I am

532
00:29:30,200 --> 00:29:33,560
Speaker 5: told by a reliable source that Friday evening, somebody from

533
00:29:33,640 --> 00:29:37,200
Speaker 5: Washington called the districtor in Angealanta and said, you have

534
00:29:37,280 --> 00:29:41,120
Speaker 5: to indict on Monday. We have to cover up all

535
00:29:41,160 --> 00:29:44,160
Speaker 5: of the mistakes we just made with Weis. And she said,

536
00:29:44,200 --> 00:29:48,040
Speaker 5: apparently my jurors aren't coming back till tuesday. And they said,

537
00:29:48,040 --> 00:29:51,479
Speaker 5: you didn't hear me. You have to indict on Monday,

538
00:29:52,000 --> 00:29:53,760
Speaker 5: and she said, we're not going to get here before noon.

539
00:29:54,400 --> 00:29:57,040
Speaker 5: They said it doesn't matter. She said, this means there's

540
00:29:57,040 --> 00:29:58,560
Speaker 5: going to be eight or nine or ten o'clock at night.

541
00:29:58,640 --> 00:30:00,440
Speaker 5: Said it doesn't matter.

542
00:30:00,800 --> 00:30:01,560
Speaker 2: We need the news.

543
00:30:01,640 --> 00:30:03,800
Speaker 3: Za shift who made that phone call?

544
00:30:05,320 --> 00:30:05,840
Speaker 2: You don't know?

545
00:30:06,160 --> 00:30:08,840
Speaker 5: And I'm telling you up front, this is heresay, but

546
00:30:08,880 --> 00:30:11,440
Speaker 5: it's from a person who has remarkably.

547
00:30:11,080 --> 00:30:13,560
Speaker 3: So I totally believe it though, because that would explain

548
00:30:13,600 --> 00:30:16,160
Speaker 3: why they leaked and they messed up on the clerk document,

549
00:30:16,440 --> 00:30:18,719
Speaker 3: why she was exhausted, and why they had the eleven

550
00:30:18,800 --> 00:30:19,840
Speaker 3: PM press conference.

551
00:30:19,880 --> 00:30:24,360
Speaker 1: Mister speaker, That's it right there, It's why they leaked

552
00:30:24,360 --> 00:30:29,600
Speaker 1: the indictment ahead of time. Now remember it, like, look

553
00:30:29,640 --> 00:30:31,640
Speaker 1: at how the narrative is shifted, just with the indictment

554
00:30:31,640 --> 00:30:34,719
Speaker 1: that was leaked prior to the grand jury recommending charges.

555
00:30:34,920 --> 00:30:38,680
Speaker 1: Don't forget it was first it was fictitious, right, and

556
00:30:38,720 --> 00:30:40,880
Speaker 1: then it was oh, I meant to just save it

557
00:30:40,920 --> 00:30:43,320
Speaker 1: but accidentally hit send, which is that they don't live

558
00:30:43,360 --> 00:30:44,200
Speaker 1: in the same world.

559
00:30:44,280 --> 00:30:45,720
Speaker 2: So it's a complete and total joke.

560
00:30:46,080 --> 00:30:48,440
Speaker 1: How would they have gotten the recommendations from the grand

561
00:30:48,480 --> 00:30:50,560
Speaker 1: jury before the grand jury anyway? So the system behind

562
00:30:50,600 --> 00:30:54,320
Speaker 1: the scenes is totally completely rigged. So this explains the

563
00:30:54,360 --> 00:30:59,040
Speaker 1: leaked indictment. This explains the late night press conference. I mean,

564
00:30:59,120 --> 00:31:02,480
Speaker 1: you remember even fans Willis to corrupt Fulton County DA

565
00:31:02,760 --> 00:31:06,320
Speaker 1: saying that she was utterly smoked. That's because if what

566
00:31:06,480 --> 00:31:09,160
Speaker 1: newt gingris is sources are saying is true, which he

567
00:31:09,240 --> 00:31:14,800
Speaker 1: wholly admits us hearsay. But look, this is how DC operates, right.

568
00:31:15,840 --> 00:31:20,320
Speaker 1: They rolled out this indictment of Trump to distract from

569
00:31:20,680 --> 00:31:24,160
Speaker 1: the Weiss screw up. And remember Merritt Garland appointing Weiss

570
00:31:24,240 --> 00:31:27,160
Speaker 1: a special prosecutor to investigate Hunter Biden. Now Weiss is

571
00:31:27,600 --> 00:31:30,520
Speaker 1: he's a he's a prosecutor out of Delaware, the home

572
00:31:30,600 --> 00:31:34,040
Speaker 1: state of Hunter Biden, and there's this weird relationship there.

573
00:31:34,080 --> 00:31:36,040
Speaker 1: So I don't want to go down that path. But

574
00:31:36,120 --> 00:31:40,120
Speaker 1: my point is none of what you see is on

575
00:31:40,160 --> 00:31:43,880
Speaker 1: the up and up, and these people, the Biden administration

576
00:31:44,400 --> 00:31:47,040
Speaker 1: and of course the Obama staffers who are now part

577
00:31:47,040 --> 00:31:50,880
Speaker 1: of the Biden administration, the entire Democrat media conflicts. What

578
00:31:51,080 --> 00:31:55,040
Speaker 1: have you believed that everything that you're seeing is completely independent,

579
00:31:55,520 --> 00:31:57,840
Speaker 1: that the Biden administration doesn't have a hand in it.

580
00:31:57,960 --> 00:32:01,280
Speaker 2: But what Knut Gingris told you is the opposite of that.

581
00:32:01,280 --> 00:32:04,040
Speaker 1: That somebody called the DA down in Georgia and told

582
00:32:04,040 --> 00:32:07,120
Speaker 1: her that she needed to run with this indictment right

583
00:32:07,160 --> 00:32:11,080
Speaker 1: then and there, And that makes sense. So I want

584
00:32:11,080 --> 00:32:13,960
Speaker 1: to bring in now is a great, great human being.

585
00:32:14,200 --> 00:32:16,200
Speaker 1: His name is rich Barris, and I've come to known

586
00:32:16,280 --> 00:32:18,840
Speaker 1: him and come to get to know him on Twitter

587
00:32:19,200 --> 00:32:21,600
Speaker 1: as the People's pundit. I mean, I think this guy

588
00:32:21,760 --> 00:32:24,600
Speaker 1: is the best polster in the business. Because, as Richards

589
00:32:24,600 --> 00:32:28,000
Speaker 1: heard me say this many times, but if you're a polster,

590
00:32:28,720 --> 00:32:31,720
Speaker 1: not only do you have to understand the empirical data

591
00:32:31,760 --> 00:32:35,800
Speaker 1: and having great cross tabs and paying attention to like

592
00:32:35,880 --> 00:32:37,920
Speaker 1: the kind of questions that you ask and how you

593
00:32:38,000 --> 00:32:39,840
Speaker 1: ask those questions, but you all have to have to

594
00:32:39,920 --> 00:32:42,360
Speaker 1: have an eye and an ear towards the culture, and

595
00:32:42,480 --> 00:32:45,080
Speaker 1: rich does all of that. So rich thanks for coming

596
00:32:45,080 --> 00:32:47,040
Speaker 1: on Battleground Live. Man, you're my first guest.

597
00:32:48,880 --> 00:32:51,040
Speaker 3: It's an honor. Sean, It's an honor to be your

598
00:32:51,040 --> 00:32:53,960
Speaker 3: first guest. Man, I really appreciate having me back on,

599
00:32:54,120 --> 00:32:55,360
Speaker 3: so always a great conversation.

600
00:32:56,120 --> 00:32:58,160
Speaker 2: Well, well, first of all, you're welcome.

601
00:32:58,280 --> 00:33:00,640
Speaker 1: I mean I want to have you on reg because

602
00:33:00,680 --> 00:33:03,360
Speaker 1: I think your polling and your insight is just so solid.

603
00:33:03,680 --> 00:33:06,040
Speaker 1: But so you got this slew of new polling out,

604
00:33:07,160 --> 00:33:08,800
Speaker 1: where do you want to start? I mean I saw

605
00:33:08,840 --> 00:33:13,240
Speaker 1: some stuff come out from Trafalgar today that again had

606
00:33:13,440 --> 00:33:16,360
Speaker 1: Donald Trump up with a commanding lead. But really every

607
00:33:16,360 --> 00:33:19,040
Speaker 1: pole that I see now has Donald Trump with commanding

608
00:33:19,120 --> 00:33:22,440
Speaker 1: leads even even Never back Down's internal pollings that they

609
00:33:22,520 --> 00:33:25,640
Speaker 1: dumped today had Donald Trump and Iowa with a commanding lead.

610
00:33:25,760 --> 00:33:27,040
Speaker 2: So what are you seeing?

611
00:33:28,320 --> 00:33:32,880
Speaker 3: So Trafalgar was almost exactly what we have, which is

612
00:33:32,880 --> 00:33:36,400
Speaker 3: a forty point lead nationally. And it's a good day

613
00:33:36,440 --> 00:33:39,280
Speaker 3: to have me on to talk about this because listen,

614
00:33:39,680 --> 00:33:43,800
Speaker 3: Never back Downs polls which have been done by different firms,

615
00:33:43,840 --> 00:33:46,800
Speaker 3: and you know, most of us don't like to take

616
00:33:46,880 --> 00:33:50,880
Speaker 3: podshots at each other, but they've been just mean to

617
00:33:51,000 --> 00:33:55,920
Speaker 3: other pollsters this cycle because they had tried to put

618
00:33:55,960 --> 00:33:58,560
Speaker 3: out a narrative. There there's no way I'm going to

619
00:33:58,600 --> 00:34:01,880
Speaker 3: say this other than just the blunt, honest way they

620
00:34:01,920 --> 00:34:05,440
Speaker 3: put out garbage without crosstabs. We all knew they were

621
00:34:05,440 --> 00:34:08,279
Speaker 3: getting paid for it. Before it was disclosed. Who would

622
00:34:08,320 --> 00:34:10,160
Speaker 3: be the polster for the pack and who was a

623
00:34:10,200 --> 00:34:14,920
Speaker 3: polster for the campaign? You had public opinion strategies pos.

624
00:34:15,120 --> 00:34:18,440
Speaker 3: This one that was leaked today is done by WPA Intel,

625
00:34:18,560 --> 00:34:20,799
Speaker 3: run by a guy named Chris Wilson who has been

626
00:34:20,880 --> 00:34:25,560
Speaker 3: trashing everybody Sean for months. I wrote an article on

627
00:34:25,680 --> 00:34:29,400
Speaker 3: Locals that I published last night called Unskewed. The polls

628
00:34:29,440 --> 00:34:33,520
Speaker 3: has returned and it's Wilson and others that he has

629
00:34:33,560 --> 00:34:37,120
Speaker 3: on Twitter. They got their little Google sheets. And what's amazing,

630
00:34:37,160 --> 00:34:40,840
Speaker 3: and what's sad about this is whether in recent years

631
00:34:40,880 --> 00:34:44,880
Speaker 3: posters have been like this industry has become bulcanized, especially

632
00:34:44,920 --> 00:34:48,440
Speaker 3: since I became public, a public polster in fourteen and sixteen,

633
00:34:48,800 --> 00:34:51,880
Speaker 3: and you had people like me and Schifalgar being pushed

634
00:34:51,960 --> 00:34:55,240
Speaker 3: out of the mainstream. Those guys don't know what they're doing,

635
00:34:55,560 --> 00:34:59,200
Speaker 3: and the media polls and university polls becoming a faction

636
00:34:59,360 --> 00:35:02,479
Speaker 3: of their own, and Robert and I have been lucky

637
00:35:02,560 --> 00:35:04,799
Speaker 3: to come out on top more often than not over

638
00:35:04,840 --> 00:35:07,960
Speaker 3: those guys. And it's a shame because then you get

639
00:35:07,960 --> 00:35:11,640
Speaker 3: everyone in their respective corners, to liberals, to some liberals

640
00:35:11,680 --> 00:35:14,280
Speaker 3: because I was more fair to Trump. It's never gonna matter.

641
00:35:14,320 --> 00:35:17,360
Speaker 3: I'm more accurate than Quinnipiac, Right, They're just always going

642
00:35:17,400 --> 00:35:19,479
Speaker 3: to want to run a Quinnipiac or their favorite one.

643
00:35:19,760 --> 00:35:24,120
Speaker 3: And I hate that. I personally loathe it. Whoever is

644
00:35:24,160 --> 00:35:29,240
Speaker 3: more accurate obviously should get more weight, but everyone shouldn't.

645
00:35:29,280 --> 00:35:32,520
Speaker 3: You shouldn't just outwardly dismiss And I've been a polling

646
00:35:32,560 --> 00:35:36,760
Speaker 3: critic for years, but never an unskewed critic, never someone

647
00:35:36,760 --> 00:35:39,440
Speaker 3: who thought, well, I'm looking at how this margin is

648
00:35:39,440 --> 00:35:42,600
Speaker 3: with this subgroup, and if I fix it, then the

649
00:35:42,640 --> 00:35:46,600
Speaker 3: poll really is like this. That's garbage. It's not science.

650
00:35:47,160 --> 00:35:50,759
Speaker 3: Sampling errors for subgroups are higher. I mean, it violates

651
00:35:50,800 --> 00:35:55,640
Speaker 3: all sorts of basic norms and basic principles, different principles

652
00:35:55,640 --> 00:35:59,680
Speaker 3: of statistics randomization. It doesn't matter so much when I

653
00:35:59,680 --> 00:36:02,680
Speaker 3: got in it in that article, and today that polling

654
00:36:02,719 --> 00:36:07,440
Speaker 3: that was dumped is his poland and still as his client,

655
00:36:07,480 --> 00:36:10,600
Speaker 3: as DeSantis is, and nevermckdown's client, because they are really

656
00:36:10,640 --> 00:36:14,560
Speaker 3: the same. They still you know, playing the games they're

657
00:36:14,560 --> 00:36:16,360
Speaker 3: playing with weights and whatever else. And we don't have

658
00:36:16,400 --> 00:36:18,480
Speaker 3: their cross tabs Sewan, so we don't know exactly what

659
00:36:18,520 --> 00:36:21,719
Speaker 3: they did, right like unlike everybody else that they have

660
00:36:21,840 --> 00:36:24,680
Speaker 3: been attacking, whether you do have our cross stabs, you

661
00:36:24,719 --> 00:36:29,800
Speaker 3: do have our methodology. They still couldn't get a much

662
00:36:30,000 --> 00:36:34,440
Speaker 3: more favorable outcome for DeSantis in Iowa, for instance, and

663
00:36:34,560 --> 00:36:36,920
Speaker 3: even in New Hampshire where they have Trump in the thirties,

664
00:36:36,960 --> 00:36:40,319
Speaker 3: and I think that's a little outdated. You know, they

665
00:36:40,320 --> 00:36:43,680
Speaker 3: have DeSantis in second when most public polls have DeSantis

666
00:36:43,680 --> 00:36:46,040
Speaker 3: in third. Now I have three or four of the

667
00:36:46,040 --> 00:36:48,920
Speaker 3: most recent New Hampshire polls have him either tied with

668
00:36:49,000 --> 00:36:53,520
Speaker 3: Christy or behind Christy. So I just find it unbelievably dishonest.

669
00:36:53,560 --> 00:36:56,640
Speaker 3: And in that article I wrote that this isn't We

670
00:36:56,680 --> 00:36:59,640
Speaker 3: can't even call this group think because I strongly suspect

671
00:36:59,680 --> 00:37:02,520
Speaker 3: that they're just lying. They don't even believe it themselves.

672
00:37:02,920 --> 00:37:06,360
Speaker 3: This isn't group think. This is a case of mist

673
00:37:06,880 --> 00:37:10,200
Speaker 3: like deception. This is misinformation. They work for this guy,

674
00:37:10,360 --> 00:37:12,839
Speaker 3: so they're just you know, they're coming up with these

675
00:37:12,880 --> 00:37:15,520
Speaker 3: more favorable results and they're trying to push a narrative.

676
00:37:15,800 --> 00:37:19,560
Speaker 3: Lo and behold, one was leaked and one was released,

677
00:37:19,719 --> 00:37:23,800
Speaker 3: right and they did that release after Iowa was leaked anyway,

678
00:37:24,120 --> 00:37:28,480
Speaker 3: so they were trying to use New Hampshire to you know,

679
00:37:28,520 --> 00:37:30,799
Speaker 3: as the New Hampshire was the Iowa result was bad.

680
00:37:31,120 --> 00:37:33,799
Speaker 3: Man DeSantis has put it all in Iowa, you know,

681
00:37:33,920 --> 00:37:36,399
Speaker 3: so they they put out New Hampshire one out there

682
00:37:36,560 --> 00:37:39,080
Speaker 3: in an effort to try to stop the narrative bleed.

683
00:37:39,640 --> 00:37:41,480
Speaker 3: It's not it didn't work. It's not helping to work.

684
00:37:42,120 --> 00:37:45,279
Speaker 1: So what do you make of And and by the way,

685
00:37:45,320 --> 00:37:48,480
Speaker 1: I Ron Dea Santis, great governor in Florida. You know,

686
00:37:48,560 --> 00:37:53,400
Speaker 1: I I I I try not to get in involved

687
00:37:53,480 --> 00:37:55,440
Speaker 1: or I haven't gotten involved in this sort of like

688
00:37:55,760 --> 00:37:58,399
Speaker 1: influencer back and forth on the matter, Like I try

689
00:37:58,400 --> 00:38:01,120
Speaker 1: to stay above all that crap. But frankly, I just

690
00:38:01,120 --> 00:38:02,920
Speaker 1: think a lot of that stuff on Twitter is just

691
00:38:03,200 --> 00:38:04,880
Speaker 1: it's just like tedious and stupid.

692
00:38:04,920 --> 00:38:07,160
Speaker 2: And I know you get that. I just, yeah, what

693
00:38:07,840 --> 00:38:08,479
Speaker 2: do you make.

694
00:38:08,400 --> 00:38:12,120
Speaker 3: Think that was their plan? John, Frankly, I do interesting?

695
00:38:12,400 --> 00:38:13,520
Speaker 2: Interesting, Yeah, I think that.

696
00:38:14,040 --> 00:38:16,480
Speaker 3: I don't think the Santis himself is like that, but

697
00:38:16,560 --> 00:38:18,960
Speaker 3: I think many of the people that surround the Santis

698
00:38:18,960 --> 00:38:22,040
Speaker 3: were always anti Maga, you know. I mean, look at

699
00:38:22,040 --> 00:38:25,600
Speaker 3: the article in National Pulse today. One of the heads

700
00:38:25,600 --> 00:38:28,760
Speaker 3: of Never Back Down. He's caught saying all this stuff

701
00:38:28,760 --> 00:38:31,160
Speaker 3: about people who live in the South, trashing people who

702
00:38:31,160 --> 00:38:33,920
Speaker 3: live in South Carolina. I mean, just awful things. And

703
00:38:33,960 --> 00:38:37,680
Speaker 3: this is not the first of his team. He surrounded

704
00:38:37,760 --> 00:38:41,200
Speaker 3: himself with a lot of the Jeff Row people, the

705
00:38:41,239 --> 00:38:45,200
Speaker 3: people who surrounded Ted Cruz and anyone else other than

706
00:38:45,239 --> 00:38:47,960
Speaker 3: Trump and sixteen. And I hate to say it, man,

707
00:38:47,960 --> 00:38:50,000
Speaker 3: but for you know, eight ten months, I'm like, they're

708
00:38:50,040 --> 00:38:53,480
Speaker 3: gonna get this guy to run solely because I mean

709
00:38:53,520 --> 00:38:57,759
Speaker 3: The dirty secret is many of these Republicans would just

710
00:38:57,840 --> 00:39:00,440
Speaker 3: really rather another Biden term than for Donald Trump to

711
00:39:00,880 --> 00:39:04,440
Speaker 3: come back. So if we can fracture the MAGA base,

712
00:39:05,520 --> 00:39:08,240
Speaker 3: then that's a great way to prevent Trump from winning.

713
00:39:08,640 --> 00:39:10,440
Speaker 3: That's saying, that's that's the way they think.

714
00:39:11,320 --> 00:39:14,040
Speaker 2: You know, my here are my thoughts on this.

715
00:39:14,160 --> 00:39:17,279
Speaker 1: I I you look at how dominant Trump is, and

716
00:39:17,320 --> 00:39:20,880
Speaker 1: by the way, you know, I obviously I'm a Trump supporter.

717
00:39:21,160 --> 00:39:25,000
Speaker 2: Demand was Demand was good to me. He never shied away.

718
00:39:24,800 --> 00:39:27,480
Speaker 1: From me, even during our toughest times, even during my

719
00:39:27,600 --> 00:39:31,080
Speaker 1: toughest times, and that matters to me. Loyalty matters to me.

720
00:39:31,120 --> 00:39:32,920
Speaker 1: I think there needs to be more loyalty in politics,

721
00:39:32,960 --> 00:39:36,520
Speaker 1: across the poor period and every other aspect of life.

722
00:39:37,000 --> 00:39:38,560
Speaker 2: Loyalty is seen as a virtue.

723
00:39:38,640 --> 00:39:43,160
Speaker 1: So why don't Why we don't celebrate that in politics

724
00:39:43,239 --> 00:39:46,600
Speaker 1: is beyond me, Because anytime someone talks about loyalty with

725
00:39:46,800 --> 00:39:48,680
Speaker 1: President Trump, they always talk about it as if he's

726
00:39:48,719 --> 00:39:51,400
Speaker 1: like some mafia don and kissing the ring. It's like, well, no,

727
00:39:51,760 --> 00:39:54,520
Speaker 1: I think, like I try to explain it to people

728
00:39:54,600 --> 00:39:57,719
Speaker 1: like this, like if you were at a firm, a

729
00:39:57,800 --> 00:40:01,040
Speaker 1: lawyer at a firm, and how off of your board,

730
00:40:01,320 --> 00:40:03,840
Speaker 1: your executive board is like, you're out of here, buddy,

731
00:40:03,880 --> 00:40:06,279
Speaker 1: we don't want you around. And the CEO comes in

732
00:40:06,320 --> 00:40:09,000
Speaker 1: and says, no, I like this guy. I believe in

733
00:40:09,040 --> 00:40:11,640
Speaker 1: this guy. I'm vouching for him. All of you all

734
00:40:11,960 --> 00:40:14,520
Speaker 1: you should you should trust him, and then said they

735
00:40:14,560 --> 00:40:17,200
Speaker 1: make the decision that hey, we're going to keep this

736
00:40:17,200 --> 00:40:19,920
Speaker 1: this guy on, and then that same guy two years

737
00:40:19,920 --> 00:40:22,560
Speaker 1: tries to get the CEO fired. I just think Americans

738
00:40:22,560 --> 00:40:25,560
Speaker 1: don't like that. I just think that there's something to

739
00:40:25,840 --> 00:40:29,600
Speaker 1: that that just doesn't I just don't like it. And

740
00:40:29,600 --> 00:40:32,200
Speaker 1: and that's what I mean about loyalty, like in this

741
00:40:32,320 --> 00:40:34,960
Speaker 1: in the civilian world, in the non political world, that

742
00:40:35,000 --> 00:40:38,560
Speaker 1: would be seen as just kind of a classless move,

743
00:40:39,000 --> 00:40:42,279
Speaker 1: you know, or worse. Yeah, And so I don't I

744
00:40:43,280 --> 00:40:46,680
Speaker 1: look at the loyalty argument through that lens. But when

745
00:40:46,680 --> 00:40:48,720
Speaker 1: you look at the polling and just Trump being utterly

746
00:40:48,719 --> 00:40:51,520
Speaker 1: dominant in the primary, I'm not gonna lie to you,

747
00:40:51,560 --> 00:40:53,680
Speaker 1: it frustrates me a little bit when I see pundits

748
00:40:53,719 --> 00:40:58,360
Speaker 1: and consultants say, well, look at this general election polling.

749
00:40:58,440 --> 00:41:00,600
Speaker 1: You know, there's no way Trump can do this. Look

750
00:41:00,640 --> 00:41:02,960
Speaker 1: how high a favorables are and I'm thinking to myself,

751
00:41:03,040 --> 00:41:04,160
Speaker 1: like it's a.

752
00:41:04,120 --> 00:41:05,279
Speaker 2: Long way out.

753
00:41:05,440 --> 00:41:07,960
Speaker 1: I mean, anything could happen, for God's sake. I mean,

754
00:41:08,400 --> 00:41:11,040
Speaker 1: you're you're you're trashing on Trump now in the primary

755
00:41:11,080 --> 00:41:13,480
Speaker 1: when we should be rallying around him in a year

756
00:41:13,480 --> 00:41:16,120
Speaker 1: from now. Who the hell knows if Joe who even

757
00:41:16,160 --> 00:41:18,080
Speaker 1: knows if Joe Biden's going to be top of the ticket,

758
00:41:18,520 --> 00:41:22,680
Speaker 1: you know, So why does our party fracture like this

759
00:41:22,800 --> 00:41:24,600
Speaker 1: in a primary when we should be rallying.

760
00:41:25,719 --> 00:41:27,719
Speaker 3: I think there's a lot of people that are kind

761
00:41:27,760 --> 00:41:31,759
Speaker 3: of chameleons in the Republican Party. They never again, never

762
00:41:31,800 --> 00:41:34,440
Speaker 3: really like Donald Trump, but because he won, and then

763
00:41:34,440 --> 00:41:36,640
Speaker 3: he began, by the way, I could name several right

764
00:41:36,719 --> 00:41:40,520
Speaker 3: now that after he beat Hillary, we're on MSNBC talking about,

765
00:41:40,760 --> 00:41:45,520
Speaker 3: you know, faithless electors they should vote their content. Steve right, right,

766
00:41:45,840 --> 00:41:48,400
Speaker 3: come on, let's be honest, mister, and mister DeSantis himself.

767
00:41:48,800 --> 00:41:49,000
Speaker 6: Uh.

768
00:41:49,040 --> 00:41:50,840
Speaker 3: And I think those people they want to sell books,

769
00:41:50,840 --> 00:41:53,399
Speaker 3: they want to get radio uh, you know, ratings, they

770
00:41:53,440 --> 00:41:55,760
Speaker 3: want to they want to get clicks on the website sewn.

771
00:41:55,800 --> 00:41:59,839
Speaker 3: And unfortunately, the left is filled with true believers and

772
00:42:00,000 --> 00:42:04,080
Speaker 3: they don't always do that. The cause comes first when

773
00:42:04,120 --> 00:42:06,319
Speaker 3: it comes to the left and you know, talking to

774
00:42:06,360 --> 00:42:09,160
Speaker 3: them and in my role and my job, my capacity

775
00:42:09,520 --> 00:42:15,080
Speaker 3: is really illuminating, you know, because that's that's a true believer.

776
00:42:15,560 --> 00:42:19,200
Speaker 3: And when we look at these people yesterday is a

777
00:42:19,200 --> 00:42:22,400
Speaker 3: great example. You brought up there the general election argument

778
00:42:22,480 --> 00:42:24,640
Speaker 3: that they were making that you know, he would be

779
00:42:24,680 --> 00:42:28,280
Speaker 3: a weaker general election candidate. Well, the polling, the totality

780
00:42:28,320 --> 00:42:31,239
Speaker 3: of the polling actually doesn't show that. And most of

781
00:42:31,320 --> 00:42:34,400
Speaker 3: us know that the margins, the top lines everyone is

782
00:42:34,440 --> 00:42:37,759
Speaker 3: looking at right now are not really highly predicted for

783
00:42:37,800 --> 00:42:41,480
Speaker 3: a general election this far out, but the shifts are

784
00:42:41,560 --> 00:42:45,040
Speaker 3: the demographic vote preferences are. It can tell you we

785
00:42:45,160 --> 00:42:47,160
Speaker 3: call it over over here, we call it the mood

786
00:42:47,160 --> 00:42:50,160
Speaker 3: of the electorate, and that gives you an indication you

787
00:42:50,160 --> 00:42:53,760
Speaker 3: could have a Democrat plus five on the generic ballad

788
00:42:53,880 --> 00:42:56,960
Speaker 3: going into twenty fourteen. But you can see the mood

789
00:42:57,200 --> 00:43:00,719
Speaker 3: of the electorate is with Republicans or with certain candidates.

790
00:43:00,800 --> 00:43:03,080
Speaker 3: So it's like, you know, by the time August and

791
00:43:03,120 --> 00:43:06,160
Speaker 3: September rolls around, Johnny Earth is going to kill Brady,

792
00:43:06,280 --> 00:43:09,040
Speaker 3: you know, I mean, so things do change, and the

793
00:43:09,120 --> 00:43:11,880
Speaker 3: general election is not the primary, and this point in

794
00:43:11,920 --> 00:43:15,080
Speaker 3: the primary, the polls are highly predictive, and I mean

795
00:43:15,120 --> 00:43:17,920
Speaker 3: it's over, brother, it's over. I mean, nobody's ever lost

796
00:43:17,920 --> 00:43:20,880
Speaker 3: a forty point lead. But in the general it's actually

797
00:43:20,880 --> 00:43:24,960
Speaker 3: the opposite what we see, and that anti Trump case

798
00:43:25,080 --> 00:43:27,160
Speaker 3: that he would be weak and a general fell apart.

799
00:43:27,480 --> 00:43:30,720
Speaker 3: They got a you know, someone throw them a bone

800
00:43:30,800 --> 00:43:35,640
Speaker 3: yesterday with the ap NORC poll that is one of

801
00:43:36,280 --> 00:43:40,200
Speaker 3: the worst polls and has been for years. Sean. It

802
00:43:40,280 --> 00:43:43,760
Speaker 3: was a final in twenty sixteen, was Clinton plus fourteen,

803
00:43:44,880 --> 00:43:49,040
Speaker 3: Bighten plus twelve or thirteen, and it was always releasing

804
00:43:49,080 --> 00:43:53,000
Speaker 3: these ridiculous questions that said, you know, twenty five percent

805
00:43:53,080 --> 00:43:55,600
Speaker 3: of Republicans and by the way, MSNBC ran with this,

806
00:43:56,120 --> 00:43:58,920
Speaker 3: twenty five percent of Republicans are going to vote for

807
00:43:59,000 --> 00:44:02,200
Speaker 3: Hillary Clinton. I mean. And the most ridiculous headlines came

808
00:44:02,239 --> 00:44:05,520
Speaker 3: out of this poll, and they are they're abysmal. I mean,

809
00:44:05,560 --> 00:44:09,040
Speaker 3: go look at their house vote projections. They're just in

810
00:44:09,160 --> 00:44:13,239
Speaker 3: another world. And when you have and again I want

811
00:44:13,239 --> 00:44:15,760
Speaker 3: to say this, going back to what I said before

812
00:44:15,840 --> 00:44:18,640
Speaker 3: the last question, it's sad that we have that kind

813
00:44:18,680 --> 00:44:22,680
Speaker 3: of conflict with other pollsters now this time because you know,

814
00:44:22,880 --> 00:44:26,600
Speaker 3: the New York Times, myself Robert Cahale at Your Falger,

815
00:44:27,080 --> 00:44:33,080
Speaker 3: Spencer Kimball at Emerson, David Peliagos at Suffolk University. Normally

816
00:44:33,120 --> 00:44:36,600
Speaker 3: we're all in our different little factions. We're not this time.

817
00:44:36,920 --> 00:44:40,759
Speaker 3: We're all in a consensus, and that consensus says Trump

818
00:44:40,880 --> 00:44:42,560
Speaker 3: is way ahead in the primary. But he is the

819
00:44:42,719 --> 00:44:46,960
Speaker 3: Actually he's the stronger candidate against Joe Biden because he

820
00:44:47,000 --> 00:44:49,320
Speaker 3: has a chunk of a vote that you need to

821
00:44:49,360 --> 00:44:51,319
Speaker 3: get out or Biden's going to crush you. You'll go

822
00:44:51,400 --> 00:44:54,440
Speaker 3: back down to sixty sixty five million votes nationally like

823
00:44:54,680 --> 00:44:57,200
Speaker 3: Mitt Romney and John McCain, and you'll get killed, and

824
00:44:57,239 --> 00:45:00,000
Speaker 3: they'll bring out eighty to eighty five, maybe even ninety.

825
00:45:00,040 --> 00:45:02,560
Speaker 3: It will be a bloodbath. So you need this vote

826
00:45:02,560 --> 00:45:03,920
Speaker 3: that Trump gets out. I don't have to tell you

827
00:45:04,000 --> 00:45:06,600
Speaker 3: where it's coming from. You're from western Pennsylvania. You know

828
00:45:06,640 --> 00:45:09,960
Speaker 3: who I'm talking about. They're not coming out for Tim Scott,

829
00:45:09,960 --> 00:45:13,239
Speaker 3: they're not coming out for Ron DeSantis. And David at

830
00:45:13,280 --> 00:45:15,960
Speaker 3: Suffolk tried to highlight this, like, look look at the

831
00:45:16,080 --> 00:45:20,560
Speaker 3: share that falls from Trump to DeSantis in Ohio. Ohio

832
00:45:20,640 --> 00:45:23,560
Speaker 3: goes back to being a battleground state. So when all

833
00:45:23,600 --> 00:45:28,239
Speaker 3: of us the media the university polls, the independent pollsters

834
00:45:28,320 --> 00:45:30,920
Speaker 3: like US, and even some that are considered right leaning,

835
00:45:30,960 --> 00:45:33,560
Speaker 3: which I hate them. I don't consider myself right leaning

836
00:45:33,640 --> 00:45:37,440
Speaker 3: at all. We're all in agreement here, so we should

837
00:45:37,640 --> 00:45:40,120
Speaker 3: celebrate that right now. I don't know how long it's

838
00:45:40,120 --> 00:45:42,640
Speaker 3: going to last, but it's rare. My wife and I

839
00:45:42,680 --> 00:45:45,520
Speaker 3: were talking about it earlier today. Since I've been a

840
00:45:45,520 --> 00:45:49,800
Speaker 3: public pollster, it's never happened. This has never happened. There's

841
00:45:49,840 --> 00:45:52,960
Speaker 3: always these factions, and you're either a fake pole, or

842
00:45:53,040 --> 00:45:55,719
Speaker 3: you're a fake pole, or this one oversampled this one,

843
00:45:55,840 --> 00:45:58,720
Speaker 3: or this one's underrepresenting this one, and there are always

844
00:45:58,760 --> 00:46:01,880
Speaker 3: these little fights. And it's been like that since twenty fourteen.

845
00:46:02,400 --> 00:46:06,399
Speaker 3: And never in my public polster career have I been

846
00:46:06,400 --> 00:46:08,440
Speaker 3: able to say, oh my god, look the New York

847
00:46:08,440 --> 00:46:11,880
Speaker 3: Times poll. Nate Cohen at the New York Times sees

848
00:46:11,920 --> 00:46:14,120
Speaker 3: exactly what I see. And by the way, what does

849
00:46:14,200 --> 00:46:19,800
Speaker 3: that show? Marist Quinnipiac Slew came out yesterday all showing

850
00:46:19,840 --> 00:46:24,240
Speaker 3: what we have an exactly nine point swing to Donald

851
00:46:24,239 --> 00:46:27,600
Speaker 3: Trump from where Joe Biden was in twenty twenty. So

852
00:46:27,640 --> 00:46:29,880
Speaker 3: we had a Biden plus four. Now we have a

853
00:46:29,880 --> 00:46:34,239
Speaker 3: Trump plus five Marius or it was Marius actually a

854
00:46:34,280 --> 00:46:37,320
Speaker 3: little bit even further. They were Biden plus ten or eleven.

855
00:46:37,480 --> 00:46:41,000
Speaker 3: Now they're Biden plus one. Quinnipiac was Biden plus ten.

856
00:46:41,120 --> 00:46:43,719
Speaker 3: Now they're Biden plus one. I mean, this is a

857
00:46:43,800 --> 00:46:46,640
Speaker 3: you gov Biden plus ten. Now it's Biden plus one.

858
00:46:46,960 --> 00:46:50,319
Speaker 3: And most others who weren't that pro Biden are now

859
00:46:50,600 --> 00:46:52,640
Speaker 3: you know, have Trump in the league. So it gives

860
00:46:52,680 --> 00:46:54,800
Speaker 3: Trump a little bit of an edge on the average

861
00:46:54,800 --> 00:46:57,719
Speaker 3: of polls. So again it's whether you're a little bit

862
00:46:57,719 --> 00:47:00,120
Speaker 3: more Democratic or you're a little bit more republic in

863
00:47:00,280 --> 00:47:03,879
Speaker 3: your overall top line, it's all the same eight to ten,

864
00:47:04,200 --> 00:47:06,200
Speaker 3: you know. Rough the average is about a nine point

865
00:47:06,239 --> 00:47:09,319
Speaker 3: swing to Donald Trump. And I think we should move

866
00:47:09,360 --> 00:47:12,000
Speaker 3: on and talk about who's pushing this swing. Where is

867
00:47:12,040 --> 00:47:14,239
Speaker 3: this coming from? And in the article one of the

868
00:47:14,280 --> 00:47:18,120
Speaker 3: big demographics, I brought up new voters in September, and

869
00:47:18,120 --> 00:47:20,320
Speaker 3: I went back and I started digging for this article

870
00:47:20,320 --> 00:47:22,319
Speaker 3: and for you know, this is what I do, so

871
00:47:22,360 --> 00:47:24,880
Speaker 3: I want to know where it's coming from. In September, Sean,

872
00:47:25,040 --> 00:47:28,640
Speaker 3: in September of twenty twenty one, Trump took a lead

873
00:47:28,680 --> 00:47:33,400
Speaker 3: in our poll and new voters, which was Biden plus

874
00:47:33,600 --> 00:47:39,160
Speaker 3: thirty going into twenty twenty, became Trump plus two, and

875
00:47:39,200 --> 00:47:43,280
Speaker 3: then it started Bob Trump plus one, Trump plus four.

876
00:47:43,760 --> 00:47:47,000
Speaker 3: Now it's usually like Trump plus six or Trump plus eight.

877
00:47:47,239 --> 00:47:50,319
Speaker 3: So just an enormous swing among new people who will

878
00:47:50,440 --> 00:47:52,640
Speaker 3: enter the electorate in twenty twenty four.

879
00:47:53,120 --> 00:47:55,520
Speaker 1: So let me ask you this, I mean, because if

880
00:47:55,560 --> 00:47:58,640
Speaker 1: you God, by the way I was, my question was

881
00:47:58,640 --> 00:48:01,080
Speaker 1: going to be why why why are.

882
00:48:00,920 --> 00:48:02,880
Speaker 2: You seeing this massive angulance?

883
00:48:02,960 --> 00:48:05,719
Speaker 1: But you already but you already answered it, But of

884
00:48:05,760 --> 00:48:10,960
Speaker 1: course I have I want to ask you ten years ago, especially,

885
00:48:11,000 --> 00:48:12,960
Speaker 1: I think back to you know, when I really started

886
00:48:12,960 --> 00:48:16,839
Speaker 1: paying attention to politics, when George W. Bush was first

887
00:48:16,920 --> 00:48:21,480
Speaker 1: running and they were talking about just how you know,

888
00:48:21,560 --> 00:48:25,319
Speaker 1: if a Republican can get forty percent Latino support, oh,

889
00:48:25,360 --> 00:48:28,279
Speaker 1: it's game over. If a Republican can get you know,

890
00:48:28,760 --> 00:48:32,200
Speaker 1: fifteen percent African American support, Oh, it's it's game over.

891
00:48:33,120 --> 00:48:38,520
Speaker 1: Where do you think those critical demographics will rite? Do

892
00:48:38,560 --> 00:48:40,200
Speaker 1: you think Trump is going to? Where do you think

893
00:48:40,239 --> 00:48:42,040
Speaker 1: the black vote is going to go this time around?

894
00:48:42,080 --> 00:48:44,880
Speaker 1: Obviously I think they're going to be predominantly Democrats still,

895
00:48:45,320 --> 00:48:50,440
Speaker 1: but it seems, I mean, it seems like they like

896
00:48:50,560 --> 00:48:51,239
Speaker 1: Trump I.

897
00:48:51,200 --> 00:48:55,560
Speaker 3: Mean, yeah, you know, that's a I mean, I gave

898
00:48:55,600 --> 00:48:58,120
Speaker 3: the New Voter example, but there is a lot more.

899
00:48:58,200 --> 00:49:01,880
Speaker 3: And that's a great question that that what you just said.

900
00:49:01,920 --> 00:49:04,880
Speaker 3: If a Republican can get the forty, if they can

901
00:49:04,920 --> 00:49:09,279
Speaker 3: get to double digits with black supporters, the problem Republicans

902
00:49:09,320 --> 00:49:12,080
Speaker 3: have and this is another reason why Trump is one

903
00:49:12,080 --> 00:49:15,640
Speaker 3: of the stronger candidates. And Mike Noble from Predictive Insights

904
00:49:15,800 --> 00:49:18,400
Speaker 3: just released the comment he did a media poll, and

905
00:49:18,480 --> 00:49:21,520
Speaker 3: I think I don't want to blurt out something, but

906
00:49:22,000 --> 00:49:24,960
Speaker 3: Mike Noble, who is from Ohio Predictive which is actually

907
00:49:25,040 --> 00:49:27,040
Speaker 3: based in Arizona, so it's a little bit weird, but

908
00:49:27,360 --> 00:49:29,279
Speaker 3: he did a media poll and in his state when

909
00:49:29,320 --> 00:49:32,680
Speaker 3: he's dead, Trump is leading. And this may be noise,

910
00:49:32,800 --> 00:49:35,400
Speaker 3: but he has taken a lead with Hispanics. So in

911
00:49:35,440 --> 00:49:38,600
Speaker 3: the New York Times, Paul Trump already hit forty percent

912
00:49:38,920 --> 00:49:42,399
Speaker 3: among Hispanics with us. Wow, he's been aroun He's been

913
00:49:42,440 --> 00:49:45,480
Speaker 3: there ready, you know, forty to forty five. And people

914
00:49:45,640 --> 00:49:49,279
Speaker 3: who discount that or don't believe it, don't seem to

915
00:49:49,320 --> 00:49:53,280
Speaker 3: understand that when we peg other Republican candidates up against Biden,

916
00:49:53,600 --> 00:49:57,080
Speaker 3: Hispanics go back to a normal margin that Biden saw

917
00:49:57,120 --> 00:50:01,440
Speaker 3: in twenty twenty. So it's just Trump. So even though

918
00:50:01,840 --> 00:50:05,880
Speaker 3: we see white voters backing away from Republicans, not that

919
00:50:05,880 --> 00:50:09,200
Speaker 3: they're backing away, it's just they're getting more educated, and

920
00:50:09,239 --> 00:50:12,600
Speaker 3: as they get more educated, Republicans have to max out

921
00:50:12,640 --> 00:50:16,399
Speaker 3: their vote with non college in order to cancel that out.

922
00:50:16,560 --> 00:50:19,719
Speaker 3: So the interesting thing is that everyone again, the black

923
00:50:19,800 --> 00:50:23,960
Speaker 3: voter is a really interesting one. We saw him improving

924
00:50:24,080 --> 00:50:27,719
Speaker 3: in twenty twenty among black men, which he did. He

925
00:50:28,000 --> 00:50:31,040
Speaker 3: basically doubled and he won almost twenty percent of black men,

926
00:50:31,560 --> 00:50:35,200
Speaker 3: just thunder, But black women we didn't really see. And

927
00:50:35,280 --> 00:50:37,960
Speaker 3: at the end of the day, he wound up more

928
00:50:38,000 --> 00:50:40,600
Speaker 3: than doubling his support with black women. He went from

929
00:50:40,640 --> 00:50:44,520
Speaker 3: four in twenty sixteen, four percent, that's it, to nine

930
00:50:44,600 --> 00:50:47,439
Speaker 3: percent in twenty twenty, so he was in the low

931
00:50:47,520 --> 00:50:50,440
Speaker 3: teens with them. So I think a lot of these

932
00:50:50,480 --> 00:50:53,080
Speaker 3: trends have been going on and people think they're just

933
00:50:53,200 --> 00:50:55,640
Speaker 3: new and they've come out of the blue. If he won,

934
00:50:56,120 --> 00:50:57,920
Speaker 3: or you know how we you and I think, but

935
00:50:58,400 --> 00:51:01,160
Speaker 3: had if he'd been in a second term right now,

936
00:51:01,600 --> 00:51:04,000
Speaker 3: we would have talked about this stuff. But because Joe

937
00:51:04,000 --> 00:51:06,719
Speaker 3: Biden took the office a lot. We didn't talk about

938
00:51:06,719 --> 00:51:09,680
Speaker 3: it like normal pundits and polsters would dissect later on.

939
00:51:09,800 --> 00:51:12,200
Speaker 3: We would say, wow, looking how much better he did

940
00:51:12,200 --> 00:51:14,680
Speaker 3: with millennial men. Are looking how much better he did

941
00:51:14,920 --> 00:51:17,760
Speaker 3: with black men under forty five years old. We didn't

942
00:51:17,760 --> 00:51:19,920
Speaker 3: do that because you lost him. People just moved on,

943
00:51:20,200 --> 00:51:24,239
Speaker 3: and it always is a conversation about this white, suburban

944
00:51:24,560 --> 00:51:28,320
Speaker 3: educated woman. The truth is that's not a swing vote anymore.

945
00:51:28,680 --> 00:51:32,280
Speaker 3: That's not the swing vote, and their minds are stuck

946
00:51:32,600 --> 00:51:36,960
Speaker 3: in this old way of thinking. The O four national

947
00:51:36,960 --> 00:51:40,280
Speaker 3: security mom from the bush, you know, v Kerry race.

948
00:51:40,920 --> 00:51:44,640
Speaker 3: That's gone. Not that you can't make inroads with them

949
00:51:44,640 --> 00:51:49,480
Speaker 3: as Republicans, but you need to bring in more non

950
00:51:49,520 --> 00:51:54,120
Speaker 3: college whites to offset them's that's the only way. And

951
00:51:54,280 --> 00:51:58,120
Speaker 3: another one of those groups that people again like us,

952
00:51:58,120 --> 00:52:00,960
Speaker 3: have found but others are like this, like it's not

953
00:52:01,080 --> 00:52:05,839
Speaker 3: happening our younger millennial men and they are white, but

954
00:52:05,920 --> 00:52:09,880
Speaker 3: they demographically look like democrats generation next to millennials, and

955
00:52:09,920 --> 00:52:13,120
Speaker 3: you think, well, where have they been? And so many

956
00:52:13,239 --> 00:52:17,480
Speaker 3: of them sean are part of that new voter category

957
00:52:17,680 --> 00:52:19,840
Speaker 3: like I don't really vote, you know, and they're like

958
00:52:20,320 --> 00:52:23,799
Speaker 3: my age now and it's for the first time, you know,

959
00:52:23,880 --> 00:52:26,680
Speaker 3: they just their life sucks and they're going to vote,

960
00:52:26,760 --> 00:52:29,279
Speaker 3: and they like chomp, and they see what he's dealing with.

961
00:52:29,400 --> 00:52:32,080
Speaker 3: And I think these indictments help him with I'm going

962
00:52:32,120 --> 00:52:34,000
Speaker 3: to say this still the cows come home. I think

963
00:52:34,040 --> 00:52:37,799
Speaker 3: these indictments help him with non whites, especially non whites

964
00:52:37,800 --> 00:52:40,480
Speaker 3: who are younger, like you know, working age, Prime, working

965
00:52:40,520 --> 00:52:45,640
Speaker 3: Agent below, because they deal with persecution in certain areas

966
00:52:45,920 --> 00:52:50,080
Speaker 3: so all the time man, So they're identifying like, look,

967
00:52:50,480 --> 00:52:53,600
Speaker 3: they're you know, the man is trying to bring him down.

968
00:52:54,080 --> 00:52:56,600
Speaker 3: Just like I played a clip on Twitter somebody you

969
00:52:56,640 --> 00:53:00,000
Speaker 3: know the other day going around interviewing you know, Africa,

970
00:53:00,000 --> 00:53:03,160
Speaker 3: American young, middle aged and younger men, and they were hilarious.

971
00:53:03,160 --> 00:53:06,200
Speaker 3: It was great. But again, you know, you would never

972
00:53:06,239 --> 00:53:08,480
Speaker 3: see somebody like that talking. You would never see them

973
00:53:08,480 --> 00:53:13,120
Speaker 3: talking about Mitt Romney or somebody like Mitt Romney like that. Never, never,

974
00:53:13,960 --> 00:53:16,840
Speaker 3: But they view his struggle a little bit like theirs

975
00:53:16,880 --> 00:53:19,319
Speaker 3: in their own. But the point of you know that

976
00:53:19,680 --> 00:53:22,040
Speaker 3: all of this is that twenty twenty four is just

977
00:53:22,160 --> 00:53:25,480
Speaker 3: not twenty twenty and all these fake comparisons saying, oh,

978
00:53:25,480 --> 00:53:29,080
Speaker 3: look at his favorability rating. Joe Biden was popular in

979
00:53:29,120 --> 00:53:31,839
Speaker 3: twenty twenty. You I was listening to your segment before

980
00:53:31,880 --> 00:53:34,600
Speaker 3: I came on. Everything about the guy is fake. He's

981
00:53:34,640 --> 00:53:37,640
Speaker 3: always been fake. The guy they ran in twenty twenty

982
00:53:37,760 --> 00:53:41,200
Speaker 3: wasn't real. And now the shine is off that fake guy.

983
00:53:41,320 --> 00:53:44,920
Speaker 3: The shine is off, and presidential elections are ab tests.

984
00:53:45,080 --> 00:53:48,360
Speaker 3: So even if they both go into this, you know, unpopular,

985
00:53:49,200 --> 00:53:52,160
Speaker 3: the key to Trump beating Hillary was that those who

986
00:53:52,239 --> 00:53:56,719
Speaker 3: viewed them both, you know, unfavorably back Trump. And that

987
00:53:56,960 --> 00:54:00,560
Speaker 3: is the big red flag that Nate Cohen raised when

988
00:54:00,560 --> 00:54:02,600
Speaker 3: he released the New York Times Bowl last week or

989
00:54:02,680 --> 00:54:05,040
Speaker 3: a little over a week ago, and he said, look,

990
00:54:05,560 --> 00:54:08,200
Speaker 3: it's getting back to it now. You know, in twenty twenty,

991
00:54:08,520 --> 00:54:11,799
Speaker 3: Biden won those people and there weren't that many of them.

992
00:54:12,160 --> 00:54:15,280
Speaker 3: This time it's looking a lot like Hillary versus Trump.

993
00:54:15,640 --> 00:54:18,920
Speaker 3: Red flag, red flag, you know. So they're trying to

994
00:54:18,960 --> 00:54:22,360
Speaker 3: warn Democrats, you know, and you know, I mean Larry Sabato,

995
00:54:22,480 --> 00:54:25,640
Speaker 3: even from the Virginia, you know, the University of Virginia.

996
00:54:25,840 --> 00:54:29,320
Speaker 3: We never agree, Sean, we never agree. And the first

997
00:54:29,320 --> 00:54:31,799
Speaker 3: thing I did was quote tweet and say, this is

998
00:54:31,840 --> 00:54:34,880
Speaker 3: a Trump win, So Democrats better take because he is

999
00:54:34,920 --> 00:54:37,600
Speaker 3: a Democrat. Democrats better take their heads out of their butts,

1000
00:54:37,640 --> 00:54:40,600
Speaker 3: you know, and you have all the right fighting. It's

1001
00:54:40,640 --> 00:54:44,279
Speaker 3: really incredible, right, it is? It is? It isn't incredible,

1002
00:54:45,440 --> 00:54:45,640
Speaker 3: you know.

1003
00:54:45,680 --> 00:54:48,160
Speaker 1: It's so frustrating because you talk about that cross section,

1004
00:54:48,239 --> 00:54:50,839
Speaker 1: and I cite this example often. I'm gonna I'm gonna

1005
00:54:50,880 --> 00:54:53,120
Speaker 1: do it again because it's just so important. We talk

1006
00:54:53,160 --> 00:54:55,680
Speaker 1: about the cross section of voters that Trump brings out

1007
00:54:55,760 --> 00:54:58,600
Speaker 1: that no other Republican brings out. And this is why

1008
00:54:59,000 --> 00:55:02,719
Speaker 1: this whole well, look at all the Trump endorsed candidates

1009
00:55:02,719 --> 00:55:03,520
Speaker 1: who lost.

1010
00:55:03,680 --> 00:55:03,960
Speaker 2: Ha ha.

1011
00:55:04,320 --> 00:55:06,759
Speaker 1: What's your answer about that? Well, my answer is none

1012
00:55:06,800 --> 00:55:08,440
Speaker 1: of those people are Trump. And that's just what it

1013
00:55:08,440 --> 00:55:12,000
Speaker 1: boils down to, right, I mean, I hate Look and

1014
00:55:12,000 --> 00:55:15,960
Speaker 1: this isn't God, This isn't like, Oh, Shawn's a maga guy. Yes,

1015
00:55:16,000 --> 00:55:19,000
Speaker 1: of course I support him, But I support Trump because

1016
00:55:19,760 --> 00:55:22,840
Speaker 1: millions of people support him, and the guy's been on

1017
00:55:22,880 --> 00:55:26,239
Speaker 1: the parapet for four years defending seventy five million people

1018
00:55:26,239 --> 00:55:31,120
Speaker 1: who voted for him. It would be wrong, morally wrong

1019
00:55:31,600 --> 00:55:34,280
Speaker 1: to tucktail and run when he needs those people.

1020
00:55:34,400 --> 00:55:36,160
Speaker 2: The mope. Wow, So you.

1021
00:55:38,680 --> 00:55:41,040
Speaker 3: What you just said? And I don't mean to interrupt

1022
00:55:41,040 --> 00:55:42,560
Speaker 3: you with your show. I don't even mean to interrupt

1023
00:55:42,600 --> 00:55:43,279
Speaker 3: you on your own show.

1024
00:55:43,360 --> 00:55:44,400
Speaker 5: Right to.

1025
00:55:46,160 --> 00:55:49,880
Speaker 3: Is what we hear from voters all the time. I

1026
00:55:50,000 --> 00:55:54,000
Speaker 3: cannot abandon him now when he needs me. It's wrong.

1027
00:55:54,520 --> 00:55:58,200
Speaker 3: He didn't ever abandon us, you know. And even you

1028
00:55:58,200 --> 00:55:59,719
Speaker 3: know stup. You know, if they all have their own

1029
00:55:59,719 --> 00:56:03,080
Speaker 3: little niche issue, maybe this one, you know, will bring

1030
00:56:03,160 --> 00:56:06,320
Speaker 3: up how he was pressured to do or do something

1031
00:56:06,400 --> 00:56:09,120
Speaker 3: more about guns and all. You know, he didn't, and

1032
00:56:09,200 --> 00:56:12,560
Speaker 3: maybe we lost bump stocks, but he reversed course and

1033
00:56:12,760 --> 00:56:15,439
Speaker 3: he listened to us, He defended us, and this one

1034
00:56:15,480 --> 00:56:18,239
Speaker 3: he told us he would reverse or o vweight. He

1035
00:56:18,280 --> 00:56:18,640
Speaker 3: did it.

1036
00:56:18,719 --> 00:56:18,880
Speaker 2: You know.

1037
00:56:18,960 --> 00:56:21,520
Speaker 3: I mean anyone else who was under attack by the

1038
00:56:21,560 --> 00:56:24,919
Speaker 3: deep state, like any other Republican president who was under

1039
00:56:24,960 --> 00:56:27,600
Speaker 3: that kind of attack, they would have resigned and left

1040
00:56:27,680 --> 00:56:29,880
Speaker 3: us to the wolves and left us to the globalists.

1041
00:56:29,920 --> 00:56:32,080
Speaker 3: Not Donald Trump. He stood this ground. He took it

1042
00:56:32,120 --> 00:56:34,399
Speaker 3: for us. We hear this all the time, and that's

1043
00:56:34,440 --> 00:56:37,480
Speaker 3: honestly unbelievable that I'm on Twitter all the time. And

1044
00:56:37,600 --> 00:56:39,240
Speaker 3: you know, maybe it's because you were in the military,

1045
00:56:39,320 --> 00:56:41,360
Speaker 3: you get it. I was in the military. No, I

1046
00:56:41,400 --> 00:56:44,600
Speaker 3: heard you talking about leadership before. When a leader doesn't

1047
00:56:44,600 --> 00:56:49,440
Speaker 3: abandon their followers and their supporters when they need them,

1048
00:56:49,760 --> 00:56:53,200
Speaker 3: their supporters won't abandon them. It's like the basic principle

1049
00:56:53,280 --> 00:56:57,520
Speaker 3: of human nature. Why don't these other leaders understand it?

1050
00:56:57,640 --> 00:57:01,000
Speaker 3: Why do I have to be He didn't explain it

1051
00:57:01,040 --> 00:57:03,439
Speaker 3: to them. Maybe that's why we're in the situation we're

1052
00:57:03,480 --> 00:57:07,120
Speaker 3: in sewn because so called leaders don't get that. Two

1053
00:57:07,200 --> 00:57:09,919
Speaker 3: times Trump has been on the ballid. Two times Trump

1054
00:57:10,000 --> 00:57:12,799
Speaker 3: has not been on the ballot in the last four cycles.

1055
00:57:13,400 --> 00:57:15,680
Speaker 3: You know, the two times he was, we had that

1056
00:57:15,840 --> 00:57:18,680
Speaker 3: rush of votes that we're talking about. They came out

1057
00:57:18,680 --> 00:57:22,200
Speaker 3: for him because of that. And by the way, Republicans

1058
00:57:22,400 --> 00:57:26,520
Speaker 3: outperformed expectations and the polls. When Trump is not on

1059
00:57:26,600 --> 00:57:31,120
Speaker 3: the ballad, they underperformed expectations on the polls because those

1060
00:57:31,120 --> 00:57:31,920
Speaker 3: people didn't.

1061
00:57:31,680 --> 00:57:33,000
Speaker 2: Come out exactly.

1062
00:57:33,000 --> 00:57:35,880
Speaker 1: I mean, look at Erie County in western Pennsylvania, and

1063
00:57:36,000 --> 00:57:39,360
Speaker 1: it's you know, in twenty sixteen, Trump was the first

1064
00:57:39,360 --> 00:57:41,680
Speaker 1: Republican to win there in quite some time. One I

1065
00:57:41,680 --> 00:57:44,600
Speaker 1: think Erie County by approximately two thousand votes. He's not

1066
00:57:44,680 --> 00:57:47,160
Speaker 1: on the ballot, and in a very tough off cycle

1067
00:57:47,240 --> 00:57:50,480
Speaker 1: in twenty eighteen, we lose. These are approximate numbers by

1068
00:57:50,600 --> 00:57:53,160
Speaker 1: between fifteen and eighteen thousand votes. And the he's on

1069
00:57:53,200 --> 00:57:55,760
Speaker 1: the ballot again in twenty twenty. We lost Erie County

1070
00:57:55,760 --> 00:57:57,840
Speaker 1: but by two thousand. But you're seeing there's like a

1071
00:57:57,960 --> 00:58:02,960
Speaker 1: fifteen thousand votes just by virtue of having him on

1072
00:58:03,440 --> 00:58:07,240
Speaker 1: the ballot. So this this idea that he is he

1073
00:58:07,360 --> 00:58:11,040
Speaker 1: is he's oh, he's a he's going to be a

1074
00:58:11,160 --> 00:58:13,000
Speaker 1: drag on people down ballot.

1075
00:58:13,040 --> 00:58:14,200
Speaker 2: It's just I don't buy it.

1076
00:58:14,680 --> 00:58:18,439
Speaker 1: And you know, so I'm glad that you that you're

1077
00:58:18,480 --> 00:58:21,040
Speaker 1: talking about all this stuff rich because it's so important.

1078
00:58:21,120 --> 00:58:24,480
Speaker 1: And as we're talking, my my wife Melanie texted me

1079
00:58:24,560 --> 00:58:27,400
Speaker 1: and she's, like, you said, when George W. Bush was

1080
00:58:27,480 --> 00:58:30,280
Speaker 1: running ten years ago, it was twenty three years ago.

1081
00:58:30,320 --> 00:58:33,320
Speaker 3: And I'm because I didn't want to date either one

1082
00:58:33,360 --> 00:58:33,600
Speaker 3: of us.

1083
00:58:33,640 --> 00:58:38,280
Speaker 2: I was so old man with the hell, what the

1084
00:58:38,320 --> 00:58:39,080
Speaker 2: hell's going on?

1085
00:58:40,320 --> 00:58:42,840
Speaker 3: I remember, I remember that like it was yesterday. I

1086
00:58:42,920 --> 00:58:46,360
Speaker 3: remember George Bush, you know, by the way, you know,

1087
00:58:46,480 --> 00:58:49,560
Speaker 3: being a working class kid or a kid from working

1088
00:58:49,600 --> 00:58:52,760
Speaker 3: class in the mid Atlantic Northeast. I mean, I was

1089
00:58:52,760 --> 00:58:55,560
Speaker 3: born in New York, right, but spent a lot of

1090
00:58:55,560 --> 00:58:58,640
Speaker 3: time in Jersey and Pennsylvania. Do you know what spoke

1091
00:58:58,680 --> 00:59:02,920
Speaker 3: to me out, you know, because I wasn't particularly hardcore

1092
00:59:03,000 --> 00:59:06,280
Speaker 3: right wing. We cannot be the world's police. After nine

1093
00:59:06,320 --> 00:59:08,240
Speaker 3: to eleven, I did, you know what you did, and

1094
00:59:08,280 --> 00:59:10,920
Speaker 3: many others did, but that was different, you know, there

1095
00:59:10,960 --> 00:59:14,440
Speaker 3: was something different about that. I don't think anybody expected

1096
00:59:14,480 --> 00:59:18,120
Speaker 3: Bush to completely change his ideology or his worldview. But

1097
00:59:18,560 --> 00:59:21,720
Speaker 3: the big thing for me was, you know, there was

1098
00:59:21,760 --> 00:59:24,280
Speaker 3: several things that I could, you know, because I was young.

1099
00:59:24,440 --> 00:59:26,840
Speaker 3: That was actually my first election, and there were several

1100
00:59:26,880 --> 00:59:29,320
Speaker 3: things that could really understand from both sides. But the

1101
00:59:29,480 --> 00:59:33,200
Speaker 3: fact that we just simply cannot police the world, you know,

1102
00:59:33,360 --> 00:59:37,640
Speaker 3: was a big thing for me. And god boy, the

1103
00:59:37,680 --> 00:59:40,640
Speaker 3: Republican Party has changed a lot, brother, Yeah, and he

1104
00:59:40,720 --> 00:59:43,480
Speaker 3: went from winning New Hampshire because of that to losing

1105
00:59:43,520 --> 00:59:45,360
Speaker 3: it and it's been hard for us to claw back

1106
00:59:45,400 --> 00:59:48,400
Speaker 3: ever since because there are just too many Massachusetts you know,

1107
00:59:49,520 --> 00:59:53,320
Speaker 3: transplants pouring into that state. But the only one to

1108
00:59:53,360 --> 00:59:56,520
Speaker 3: come close, by the way, was Donald Trump a couple

1109
00:59:56,560 --> 00:59:57,800
Speaker 3: of hundredvotes. That's it.

1110
00:59:57,920 --> 00:59:58,400
Speaker 2: Amazing.

1111
00:59:59,160 --> 01:00:02,320
Speaker 1: Well rich Man, thank you, thank you, thank you for

1112
01:00:02,400 --> 01:00:05,160
Speaker 1: coming on and being my first guest. I please will

1113
01:00:05,200 --> 01:00:07,880
Speaker 1: you come back? Can we talk your polls all the time,

1114
01:00:07,960 --> 01:00:12,880
Speaker 1: because I love talking to you. Everybody that's watching Rich Barris,

1115
01:00:12,920 --> 01:00:15,160
Speaker 1: the People's Pundit. Rich, Where can people find you?

1116
01:00:16,280 --> 01:00:20,440
Speaker 3: Best places on locals, People's pundent dot locals dot com.

1117
01:00:20,640 --> 01:00:23,400
Speaker 3: They can follow everything there, the Public Polling Project, all

1118
01:00:23,440 --> 01:00:25,720
Speaker 3: the articles we write and the polls we put out

1119
01:00:25,920 --> 01:00:29,320
Speaker 3: People's Pundent dot locals dot com. Thanks for having me, Sean,

1120
01:00:29,360 --> 01:00:30,439
Speaker 3: it was an honor again.

1121
01:00:30,560 --> 01:00:32,360
Speaker 1: Thanks Rich, I'll talk to you soon, my friend. Take

1122
01:00:32,400 --> 01:00:36,400
Speaker 1: care all the best, brother all right. So yeah, well

1123
01:00:36,680 --> 01:00:40,520
Speaker 1: that is Rich Barris again, the People's Pundit. The guy

1124
01:00:40,720 --> 01:00:42,800
Speaker 1: is I just think the best poster in the business

1125
01:00:42,840 --> 01:00:44,840
Speaker 1: and he's great at articulating his thoughts, so we love

1126
01:00:44,880 --> 01:00:48,600
Speaker 1: to have him. Okay, we're rolling into the last block here,

1127
01:00:49,320 --> 01:00:53,360
Speaker 1: but we've got some crazy, crazy trans video for you

1128
01:00:53,800 --> 01:00:57,400
Speaker 1: to leave you with just to think about as before

1129
01:00:57,480 --> 01:01:01,080
Speaker 1: the show tomorrow. But before we do that, I want

1130
01:01:01,080 --> 01:01:03,320
Speaker 1: to thank Cabot Guns. They're also one of the sponsors

1131
01:01:03,320 --> 01:01:05,960
Speaker 1: of this program. They make the best nineteen eleven pistols

1132
01:01:06,000 --> 01:01:09,960
Speaker 1: in the business. Go check them out. They're a shooter's pistol,

1133
01:01:10,400 --> 01:01:14,000
Speaker 1: best in the world. Cabot, thank you for supporting us.

1134
01:01:14,000 --> 01:01:15,920
Speaker 1: We know you support the Second Amendment as well, and

1135
01:01:15,960 --> 01:01:18,360
Speaker 1: we are so grateful to have a Second Amendment supporter

1136
01:01:18,520 --> 01:01:20,840
Speaker 1: supporting this podcast. Cabot, you're the best.

1137
01:01:20,920 --> 01:01:21,400
Speaker 2: We love you.

1138
01:01:21,800 --> 01:01:25,560
Speaker 1: Okay, now I'm going to show you a video that's

1139
01:01:25,560 --> 01:01:28,160
Speaker 1: going to rock your world, and we're gonna close the show.

1140
01:01:27,920 --> 01:01:31,600
Speaker 2: Out with this. So just let's just roll the tape.

1141
01:01:31,760 --> 01:01:33,400
Speaker 2: Can't really talk about it. Let's roll the tape.

1142
01:01:33,440 --> 01:01:40,560
Speaker 6: If you says Sen you won't dig trans folks, your transphobe. Now,

1143
01:01:40,600 --> 01:01:43,880
Speaker 6: if that made Maden, maybe it's your prejudices that you

1144
01:01:44,000 --> 01:01:50,600
Speaker 6: need to probe. No matter the reasons you've got, you're

1145
01:01:50,600 --> 01:01:55,640
Speaker 6: reducing us to when we disrobe and that kind of

1146
01:01:55,680 --> 01:02:01,280
Speaker 6: thinking thing sophisticated. It's more like my probes another thing.

1147
01:02:01,520 --> 01:02:04,240
Speaker 6: You've got good reasons, maybe you do.

1148
01:02:05,960 --> 01:02:06,600
Speaker 2: Trump is real.

1149
01:02:06,720 --> 01:02:11,080
Speaker 6: It's hard to heal. I'd never say the thought isn't true.

1150
01:02:12,800 --> 01:02:15,960
Speaker 6: But transphobia is transphobia, and you won't get a pass

1151
01:02:16,040 --> 01:02:16,720
Speaker 6: when we're through.

1152
01:02:19,960 --> 01:02:23,480
Speaker 3: We're human beings, not sex organs. This lesbians, I'm talking

1153
01:02:23,520 --> 01:02:23,959
Speaker 3: to you.

1154
01:02:28,760 --> 01:02:29,480
Speaker 2: What do you do with that?

1155
01:02:31,520 --> 01:02:38,000
Speaker 1: They're saying now that if men won't date other men,

1156
01:02:39,480 --> 01:02:42,880
Speaker 1: you're transphobic. Well, I guess just call me transphobia. I

1157
01:02:43,600 --> 01:02:46,560
Speaker 1: don't know what to say, but the views that just

1158
01:02:46,600 --> 01:02:49,560
Speaker 1: gets crazier and crazier. How about you let me live

1159
01:02:49,640 --> 01:02:53,040
Speaker 1: my life and I'll let you as someone who's an

1160
01:02:53,520 --> 01:02:57,120
Speaker 1: adult over eighteen. How about you you live your life

1161
01:02:57,440 --> 01:03:02,800
Speaker 1: and you keep this crazy worldview and sexual grooming away

1162
01:03:02,800 --> 01:03:03,560
Speaker 1: from my children.

1163
01:03:04,120 --> 01:03:06,680
Speaker 2: Is that okay? I hope it's okay.

1164
01:03:07,160 --> 01:03:09,760
Speaker 1: In the meantime, tomorrow is going to be an awesome

1165
01:03:09,800 --> 01:03:12,760
Speaker 1: show Friday, closing out the week. We're going to talk

1166
01:03:12,800 --> 01:03:14,959
Speaker 1: about biden Omics. We're going to talk about the fact

1167
01:03:14,960 --> 01:03:17,600
Speaker 1: that Biden is just a crazy, whack job person who

1168
01:03:17,600 --> 01:03:20,080
Speaker 1: does nothing but lie. We're going to talk about crime

1169
01:03:20,120 --> 01:03:23,520
Speaker 1: that's absolutely going crazy. Thank you all for sticking with me.

1170
01:03:23,840 --> 01:03:27,680
Speaker 1: Fourth show, God bless you all. Oh, don't forget to subscribe.

1171
01:03:27,760 --> 01:03:29,560
Speaker 1: Hit the Rumble button. I know the brock would get

1172
01:03:29,560 --> 01:03:31,000
Speaker 1: mad at me if I don't say that. Hit the

1173
01:03:31,040 --> 01:03:34,000
Speaker 1: little green thumb. It matters a lot. Rumble pays attention

1174
01:03:34,080 --> 01:03:37,320
Speaker 1: to it. Subscribe. We need your help. Go to official

1175
01:03:37,360 --> 01:03:41,160
Speaker 1: Seank Parnell dot com for these shirts. We're building a

1176
01:03:41,240 --> 01:03:44,320
Speaker 1: movement hand in hand with the Wendy Belt Radio Network.

1177
01:03:44,360 --> 01:03:46,680
Speaker 1: We got awesome things in store for you all. In

1178
01:03:46,720 --> 01:03:49,400
Speaker 1: the meantime, Thank you all, for the time. God bless

1179
01:03:49,440 --> 01:03:52,000
Speaker 1: you all, and God bless this amazing country that we

1180
01:03:52,080 --> 01:03:52,560
Speaker 1: call home.

1181
01:03:52,720 --> 01:03:53,160
Speaker 2: Take care

1182
01:04:00,080 --> 01:04:00,200
Speaker 6: Du