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Speaker 1: I'm your host, Sean Parnell. I am a I'm a

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Speaker 1: combat veteran. I was wounded in service to our great

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Speaker 1: country in Afghanistan. I'm also a best selling author. And

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Speaker 1: now we're rolling out this live stream show for the

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Speaker 1: first time ever. And before we get to it, I

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Speaker 1: just want to say I want to send a thank

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Speaker 1: you to Deep Well, which is our founding sponsor of

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Speaker 1: this podcast and this live stream. None of this would

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Speaker 1: be possible without this amazing energy company. They've been with

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Speaker 1: us from the very beginning and they're just incredible partners.

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Speaker 1: And I'll just say this about them. The people, the

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Speaker 1: men and women who work for deep Well. They're in

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Speaker 1: the energy industry. If you follow me, whether it's on

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Speaker 1: the campaign trail or you listen to me on Wendy

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Speaker 1: Bell radio program, you know that the energy industry is

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Speaker 1: something that's deeply, deeply important to me. The men and

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Speaker 1: women who work in the industry, at the energy industry,

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Speaker 1: the people who go out to the these these rigs

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Speaker 1: and work long hours. They're American patriots. They love and

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Speaker 1: care about the environment. Why because they live in the

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Speaker 1: environment and they care about the environment a hell of

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Speaker 1: a lot more than any of these purple hair grad

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Speaker 1: student freaks that protest them every day. And so we

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Speaker 1: live in a country that's amazing. Like we go to

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Speaker 1: a bar, go to a restaurant, we have power. You

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Speaker 1: like the lights on in your house.

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Speaker 2: You know. Thank and Energy Worker.

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Speaker 1: They're American patriots and Battleground Live would not be possible

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Speaker 1: without them, so deep well, thank you for being a

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Speaker 1: founding sponsor of Battleground and thank you for taking a

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Speaker 1: chance on me.

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Speaker 2: We're so psyched to be a partner with you. I

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Speaker 2: also have I'd also like to.

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Speaker 1: Thank Wendy Bell for giving them the opportunity to host

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Speaker 1: her radio program both during the week of fourth of

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Speaker 1: July and all last week. Now, this is my first

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Speaker 1: foray into the radio, so I'd never done anything like

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Speaker 1: that before in my life. And I remember telling Wendy,

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Speaker 1: and I remember telling Brock, who is her producer, there's

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Speaker 1: no way in hell I'll be able to talk for

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Speaker 1: three hours. It's just no way. Never done it before.

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Speaker 1: They assured me from the moment that I walked into

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Speaker 1: that studio that I'd be able to do it, and frankly,

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Speaker 1: I just fell in love with it. So that also

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Speaker 1: led me to where we are here today, so thank

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Speaker 1: you both of them as well. This country is going

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Speaker 1: off the rails. The title of this episode is the

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Speaker 1: corrupt Persecution of Donald Trump continues and all day today,

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Speaker 1: I mean, news broke and Donald Trump was out there

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Speaker 1: talking about Judge Chutkin and the fact that she recused.

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Speaker 1: We'll get to that in a second. But the breaking

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Speaker 1: news today, what's breaking right now is the Georgia DA

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Speaker 1: files and then retracts felony charges against Trump before the

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Speaker 1: grand jury even voted on any criminal charges or any

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Speaker 1: indictments at all. I mean, isn't that crazy? So check

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Speaker 1: this out from the Post Millennial. On Monday, a document

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Speaker 1: outlining charge charges against the twenty twenty four GOP front

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Speaker 1: runner Donald Trump by Fulton County District Attorney Fanny Willis

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Speaker 1: Fanny Willis's office was briefly posted online and deleted without explanation.

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Speaker 1: The grand jury in charge of the case has yet

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Speaker 1: to vote on the matter. The document, dated dated August fourteenth,

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Speaker 1: and it was obtained by Reuters, reveals thirteen charges against Trump,

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Speaker 1: twelve of which are felonies. One is listed as a

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Speaker 1: serious felony.

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Speaker 2: So get this.

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Speaker 1: The charges in now, By the way, what a freaking

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Speaker 1: joke all this is. I mean, as if we needed

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Speaker 1: more proof that the system was rigged, how does the

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Speaker 1: DA post on the official court docket all of these

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Speaker 1: indictments prior to the grand jury even reaching their conclusions.

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Speaker 1: I mean, my god, whether it was the election in

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Speaker 1: twenty twenty, to all the COVID lockdowns, to once trusted

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Speaker 1: institutions in this country, like our medical institution, people don't

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Speaker 1: trust it anymore. So now this, how can anybody trust

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Speaker 1: the system? I mean, clearly the system is rigged against

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Speaker 1: against President Trump.

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Speaker 2: But check this out.

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Speaker 1: Check out some of these these indictments that Fanny willis again,

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Speaker 1: this is the corrupt DA in Georgia is rolling a

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Speaker 1: got out against President Trump. It's absolutely ridiculous. The charges

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Speaker 1: include violations of the State of the State, racketeer, racketeer

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Speaker 1: influenced and corruption Organizations RICO Act, conspiracy to commit forgery

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Speaker 1: in the first degree, filing false documents, and conspiracy to

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Speaker 1: commit in personing a public officer, among others, all related

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Speaker 1: to attempts to overturn the twenty twenty election results in Georgia. Now,

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Speaker 1: as we all know, it is not a crime to

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Speaker 1: protest an election every Democrat in this country and every

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Speaker 1: election that they have ever lost, going on all the

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Speaker 1: way back to nineteen sixty they've protested. In fact, when

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Speaker 1: President Trump won in twenty sixteen, the Democrats for four

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Speaker 1: years called him a foreign agent. They said he was

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Speaker 1: he was an illegitimate president. They did nothing but slander

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Speaker 1: and attack President Trump relentlessly for four years. And now

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Speaker 1: we've got this this corrupt, this corrupt DA posting charges

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Speaker 1: before the before the grand jury even announces whatever the

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Speaker 1: what the indictments are. I want to give you a

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Speaker 1: sense of there's all this talk in the media. Now

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Speaker 1: the media we'll talk about, oh it's it's a grand jury,

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Speaker 1: and oh look, a grand jury indicted them, so these

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Speaker 1: these these charges must be legitimate, folks. A grand jury

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Speaker 1: is basically just like a rubber stamp. So it's like,

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Speaker 1: check out this video of one of the I think

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Speaker 1: she's the lead juror in the grand jury on the

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Speaker 1: Trump indictment in Georgia. Check out check out this video

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Speaker 1: from this from this grand jury member, and you decide

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Speaker 1: whether or not the grand jury can be trusted.

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Speaker 3: Did you personally want to hear from the former I

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Speaker 3: wanted to hear from the former president.

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Speaker 4: But honestly, I kind of wanted to subpoena the former

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Speaker 4: president because I got to swear everybody in, and so.

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Speaker 5: I thought it'd be really cool to get sixty seconds.

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Speaker 6: With President Trump of me looking at him and being like,

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Speaker 6: do you solemnly swear and me getting to swear him in.

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Speaker 6: I just I kind of thought that would be an

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Speaker 6: awesome bom.

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Speaker 2: What the heck is that? Well, first of all, why

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Speaker 2: is she out there doing media?

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Speaker 1: Why is she I just kind of thought it would

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Speaker 1: be an awesome thing to be able to subpoena President

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Speaker 1: Trump and look him in the eye, like, how is

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Speaker 1: this happening? In America? The process is clearly rigged. Elections

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Speaker 1: are clearly rigged. And this is why the vast majority

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Speaker 1: of people in this country don't trust system, because the

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Speaker 1: system has been corrupted by Democrats at almost every level.

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Speaker 1: Now use the FBI as an example. Okay, I've got

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Speaker 1: friends in the FBI who are boots on the ground agents.

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Speaker 1: I've got I know people who have served in and

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Speaker 1: around the hostage rescue team. They're the best in the world.

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Speaker 1: But I'm not talking about them. I'm talking about what

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Speaker 1: Democrats do is they infiltrate institutions. Now I say democrats,

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Speaker 1: but really what I mean are communists. What they do

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Speaker 1: is they infiltrate these institutions, They occupy key positions, and

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Speaker 1: then they their their tyranny and their corrupt nature trickles

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Speaker 1: down to everybody else through the policies that they implement,

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Speaker 1: through the crimes that they either choose to pursue or not.

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Speaker 1: And so speaking of this entirely corrupt system, President Trump

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Speaker 1: has been on the offense today speaking out about Judge

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Speaker 1: Chutkin in his DC indictments. Now again, when I talked

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Speaker 1: to don Junior about this, like he jokes about it

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Speaker 1: with me, but really it's a sad commentary on where

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Speaker 1: we are as a country right now. You have to

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Speaker 1: pick up the phone and talk to Donnie's like, oh yeah,

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Speaker 1: you know, another day, another indictment. I mean again, I

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Speaker 1: know we're joking around about it, but isn't that a tragedy.

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Speaker 1: Doesn't that speak to the tragic nature of where we

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Speaker 1: are as a country right now? And if you're a

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Speaker 1: member of the Trump family, by the way, I know them,

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Speaker 1: they're great people. The media does them a complete and

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Speaker 1: total disservice. They lie about them on the daily. They're

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Speaker 1: good people and this country is lucky to have them,

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Speaker 1: and especially with President Trump, the guy just loves the country.

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Speaker 1: I mean the motto of his campaign is make America

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Speaker 1: great Again. Yeah, the media, think about this for just

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Speaker 1: a second while we go off in this like little sidebar.

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Speaker 1: The media has somehow like co opted or is trying

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Speaker 1: to co opt MAGA and make MAGA or make America

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Speaker 1: great again synonymous with being a white supremacist. I mean

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Speaker 1: that is mind blowing in and of itself, but it

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Speaker 1: just shows you what their true intentions are. Because the

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Speaker 1: Trumps are good people. I know them personally. They love

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Speaker 1: this country. They want this country to be successful. They

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Speaker 1: want your children to have a bright future in this country.

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Speaker 2: That's it. The media, what they tell you about the

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Speaker 2: Trumps are lies.

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Speaker 1: And so President Trump has been on the offense all

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Speaker 1: day today talking about Judge Chutkin in DC and how

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Speaker 1: she should recuse and I want to read you Trump

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Speaker 1: is doing everything you can to show the extreme political

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Speaker 1: bias of this judge, and a Trump wrote on truth

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Speaker 1: Social today, I see the videotapes, I see the footage.

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Speaker 1: Now this is from Judge Chutkin. She wrote this in

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Speaker 1: one of her decisions. So this isn't President Trump's saying this.

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Speaker 1: So imagine Judge Chutkin's saying this in one of her

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Speaker 1: opinions about a January sixth defendant. I see the videotapes.

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Speaker 1: I see the footage of the flags and the signs

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Speaker 1: that people were carrying, and the hats that they were wearing,

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Speaker 1: and the garb, and the people who were and the

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Speaker 1: people who mob that capital where they're in fealty, in

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Speaker 1: loyalty to one man, not to the constitution of which

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Speaker 1: most of the people who come before me seem woefully ignorant,

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Speaker 1: not to the ideals of this country, and not to

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Speaker 1: the principles of democracy. It's a blind loyalty to one person, who,

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Speaker 1: by the way, remains free to this day. Now, folks,

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Speaker 1: I don't know what to tell you, but clearly, Judge

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Speaker 1: Chuckkin in DC, when she says something like someone who,

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Speaker 1: by the way, remains free to this day, clearly her

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Speaker 1: desire is to put President Trump behind bars. And moreover,

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Speaker 1: Fanny Willis, clearly her desire is to put President Trump

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Speaker 1: behind bars, not put justice first, right, put President Trump

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Speaker 1: behind bars. And how about Alvin Bragg in New York

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Speaker 1: in these bogus indictments. And by the way, left wing

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Speaker 1: lawyers who I talk to, they've even told me my buddies,

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Speaker 1: They've even told me, hey, look, you know, I don't

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Speaker 1: agree with President Trump at all. There's no way in

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Speaker 1: hell I never vote for the guy. But these indictments

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Speaker 1: coming out in New York are.

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Speaker 2: Weak as hell.

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Speaker 1: So does it surprise anybody? And so I guess what

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Speaker 1: blows my mind. Let me take a step back, is

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Speaker 1: that there are people out there who look at the

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Speaker 1: system and the way that it's operating, and they believe

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Speaker 1: that somehow it's operating as the way it's intended, as

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Speaker 1: independent and impartial, the blind eye of the law, justice

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Speaker 1: will be doled out equally and fairly.

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Speaker 2: Obviously that's not the case. Do you want to know why?

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Speaker 1: Because Alvin bragged Fanny Willis and Judge Chuckkin and Jack Smith,

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Speaker 1: beady eyed, creepy, jittery mouth breathing Jack Smith, the special

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Speaker 1: prosecutor who was appointed by Merrick Garland, who is now

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Speaker 1: going after President Trump. All of these elected officials in

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Speaker 1: these das who are leveling these charges against President Trump.

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Speaker 2: They all campaigned on put him in jail.

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Speaker 1: So why should anybody be First of all, why should

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Speaker 1: anybody think that the system is operating the way that

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Speaker 1: it should.

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Speaker 2: They shouldn't believe that.

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Speaker 1: But why would anybody be surprised that this is how

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Speaker 1: these people are operating. They're clearly acting like a bunch

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Speaker 1: of fascists who believe that they're above the law, and

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Speaker 1: they're trying to put a former president in prison for

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Speaker 1: exercising his First Amendment rights and challenging an election. And again,

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Speaker 1: I'll reiterate, Democrats have challenged every election that they've lost,

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Speaker 1: going all the way back to nineteen sixty. So why

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Speaker 1: President Trump is not allowed to challenge an election is

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Speaker 1: beyond me. But ultimately they're hypocrites. But let me let

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Speaker 1: me read you some more from US District Judge Tanya Chutkin. Again,

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Speaker 1: this is just her words. So those folks you all

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Speaker 1: are watching, you decide if you think that she should recuse,

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Speaker 1: because the rule is it is basically just even the

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Speaker 1: appearance of bias warrants a recusal. I'll say that again,

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Speaker 1: even the appearance of any sort of bias warrants a recusal.

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Speaker 1: So here's more from judge. District Judge Tanya Chuckkin, DC.

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Speaker 1: People gathered all over the country last year to protest

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Speaker 1: the violent murder by the police of an unarmed man.

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Speaker 1: Some of those protests became violent. But to compare the

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Speaker 1: actions of people protesting mostly peacefully for civil rights to

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Speaker 1: those of a violent mob seeking to overthrow the lawfy

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Speaker 1: elected government is a false equivalency and ignores the very

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Speaker 1: real danger that the January sixth riot posed to the

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Speaker 1: foundation of our democracy. Isn't it absolutely crazy? And maybe

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Speaker 1: it's not. I mean, frankly, nothing surprises me in this

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Speaker 1: day and age, but that this woman, that this judge

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Speaker 1: is using radical leftist rhetoric in her language. She even

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Speaker 1: says that the Black Lives Matter and Antifa riots were

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Speaker 1: mostly peaceful. Do you remember the Antifa riot in Seattle

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Speaker 1: where they created chaz They wanted a nation that just

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Speaker 1: seceed from Washington State, like they wanted to create a

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Speaker 1: whole new nation within America. These are Antifa laid siege

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Speaker 1: to a government building, a federal government building in Oregon

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Speaker 1: for like six months. They laid siege to the White

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Speaker 1: House and battered and bloodied Secret Service agents, like I

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Speaker 1: think of something like fifty Secret Service agents, like they

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Speaker 1: tried to burn down a church. I mean they they

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Speaker 1: killed people, and so how it's a false equivalency to

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Speaker 1: talk about, you know, the Summer of Love and equate

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Speaker 1: that to January sixth. I would agree it's a false equivalency.

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Speaker 1: What Black Lives Matter and what Antifa did was a

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Speaker 1: hell a lot worse. It was one hundred times worse.

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Speaker 1: You tell you look at what happened with January six Look,

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Speaker 1: riots are a bad thing.

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Speaker 2: I don't like them.

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Speaker 1: But if you want to talk about what really was

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Speaker 1: mostly peaceful, January sixth was mostly peaceful period, end of story.

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Speaker 1: I mean, Congress, look again, but don't excuse I don't

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Speaker 1: excuse violence.

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Speaker 2: It's never an excuse for rioting. But Congress was back

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Speaker 2: at work in two hours.

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Speaker 1: I mean, so yeah, that is a false equivalency. What

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Speaker 1: Black Lives Matter and what Antiva did was one hundred

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Speaker 1: times worse than January six US District Judge Tanya Chutkins

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Speaker 1: sentencing January sixth defendants to jail, even when the Biden

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Speaker 1: Justice Department recommends no jail time. So here the government

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Speaker 1: is charging January six ers. So January sixth grandmothers essentially,

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Speaker 1: or people who at worst should be charged with unlawful

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Speaker 1: parading or maybe maybe trespassing. Now again, TIFA, Black Lives

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Speaker 1: Matter almost uniformly had their their charges dropped. Some of

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Speaker 1: those people burned tried to burn hotels to the ground

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Speaker 1: or throw molotov cocktails at cough cars.

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Speaker 2: But yeah, their charges were dropped.

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Speaker 1: Unlawful parading, Lock them up and throw away the key,

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Speaker 1: even when the government doesn't recommend any prison time. So

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Speaker 1: get this, while pros this is from an ABC article

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Speaker 1: about Judge Chutkin about the January sixth trials, while prosecutors

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Speaker 1: recommended three months under home confinement in probation for thirty

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Speaker 1: seven year old Matt Mazaco, Judge Chutkins said in the ruling,

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Speaker 1: there have to be consequences for those involved in an

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Speaker 1: attempt in an attempted violent overthrow of a branch of

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Speaker 1: the US government, Like, come on beyond just she says,

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Speaker 1: she goes on beyond just sitting at home. If mister

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Speaker 1: Mazaco walks away with probation in a slap on the wrist,

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Speaker 1: that's not going to deter anyone trying what he did. Again,

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Speaker 1: Chutkins said, it does not. In this Court's opinion, indicate

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Speaker 1: the severity the gravity of the offenses that he committed

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Speaker 1: on January sixth. Now, the government didn't ask for this sentence.

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Speaker 1: The government who was prosecuting him didn't believe his charges

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Speaker 1: warranted prison time. But this judge went above and beyond

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Speaker 1: to put him in prison to make an example of him.

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Speaker 1: She's right when she says it's not going to deter anybody,

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Speaker 1: because that is what the political persecution of all the

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Speaker 1: January six ers who are rotting in jail, to some

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Speaker 1: of whom are rotting in jail to this day, and

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Speaker 1: ultimately President Trump. The reason why they're doing all of

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Speaker 1: this is to deter conservatives, deter our movement from speaking

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Speaker 1: out against all the shenanigans that we're seeing, whether it's

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Speaker 1: in regard to elections, or in regards to COVID lockdowns,

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Speaker 1: or in regards to the weaponization of our federal government

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Speaker 1: against the people protesting about big tech. Now, are these

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Speaker 1: leftists who are in power. They despise you. They think

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Speaker 1: you're a bitter clinger. They think you're a racist, misogynist, xenophobe.

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Speaker 1: The latest thing is you're a domestic terrorist. They want

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Speaker 1: you to shut up, and they are using January six ers,

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Speaker 1: throwing them in prison them in the political persecution of

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Speaker 1: Donald Trump to scare you. So, Judge Chuckkin is right

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Speaker 1: in that regard. It almost seems like it almost seems

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Speaker 1: like it doesn't seem like to me, it's they are

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Speaker 1: politically persecuting Donald Trump and criminally indicting him one to

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Speaker 1: make an example of him, to keep you from speaking

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Speaker 1: out against their agenda. Okay, that's happening, But it's also

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Speaker 1: because he's going to win. He's the only candidate on

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Speaker 1: the ballot running for president that has a shot against

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Speaker 1: beating Joe Biden. In fact, many polls that have come

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Speaker 1: out recently show that Donald Trump is the only Republican

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Speaker 1: running for president that has a snowballs chance in hell

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Speaker 1: of beating Joe Biden in swing states like Pennsylvania, in

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Speaker 1: swing states like Arizona, in Michigan, Wisconsin, Trump's the only one.

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Speaker 1: In fact, many of these polls that are being released

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Speaker 1: over the last week show President Trump winning. If President

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Speaker 1: Trump was going to go down in a blaze of

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Speaker 1: glory and it looked like there was no way in

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Speaker 1: hell he was going to win this election, these indictments

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Speaker 1: would not be happening. But they want to take him out.

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Speaker 1: They want to take him off the ballot. They want

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Speaker 1: to remove your ability over half the country. Ultimately, they

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Speaker 1: want to remove your ability from voting for the candidates

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Speaker 1: that you want. It's all about control, control of what

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Speaker 1: information you get, control over who you vote for, control

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Speaker 1: over the narrative, control over your lives. That's what modern

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Speaker 1: leftism is all about. It's not a big book. The

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Speaker 1: Democrats of the nineteen sixties of really RFK Junior, by

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Speaker 1: and large, they're gone. Robert Kennedy Junior is rare in

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Speaker 1: that party, by the way. I'm glad to see him

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Speaker 1: coming out speaking out against the insanity in his party.

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Speaker 1: But liberals back during the Vietnam War, they were by

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Speaker 1: and large anti war. They didn't trust the government. If

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Speaker 1: the government told you to do one thing, believe me,

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Speaker 1: these people were doing the opposite. I don't know what

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Speaker 1: happened to democrats. They're all communists now. Even some of

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Speaker 1: the most radical newspaper publications today. I mean they're coming

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Speaker 1: out and attacking conservatives for questioning what the government is

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Speaker 1: telling them. Like modern liberalism or being a democrat today

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Speaker 1: is synonymous with being like a fascist. It's synonymous with

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Speaker 1: you know, you look at what Antifa's doing in the street.

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Speaker 1: You know, Antifa is basically their strong arm. You know,

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Speaker 1: any Democrat that's sitting in Congress, they agree with what

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Speaker 1: Antifa is doing to our cities. They agree with the

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Speaker 1: threats Antifa makes towards freedom loving patriots. It's all part

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Speaker 1: of the plan for them. So at some point, the

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Speaker 1: Democrat Party has diverged from being a free thinking, you know,

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Speaker 1: question the government type of political movement. They have completely

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Speaker 1: lost their way. But back to the point I was

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Speaker 1: trying to make, there's no way they would be doing

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Speaker 1: this stuff to President Trump if they thought that he

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Speaker 1: was going to lose. The latest poll in South Carolina

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Speaker 1: that came out today about the South Carolina primary has

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Speaker 1: Trump forty five percent, so that's up four from June.

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Speaker 1: Thesantus at thirteen percent, down five, and then you have

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Speaker 1: Scott and Haley both at eleven points respectively, Chris Christy

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Speaker 1: at seven percent, Vivic at five percent, Pence at two percent,

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Speaker 1: Hutchinson at one percent, Bergham at one percent. So Trump

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Speaker 1: is up by over thirty points in South Carolina. And

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Speaker 1: by the way, Tim Scott Nikki Haley. They're both from

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Speaker 1: South Carolina and Desanti's down five. I mean, it's really

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Speaker 1: kind of unbelievable that. And by the way, I like

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Speaker 1: Ron DeSantis. I mean, he was a great governor for Florida.

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Speaker 1: I just boy just doesn't seem like his time, does it.

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Speaker 1: And despite this guy spending millions of dollars in ads,

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Speaker 1: you know, just he's not doing well. And I think

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Speaker 1: part of the reason is is, you know, when you

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Speaker 1: talk about loyalty, the media.

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Speaker 2: Likes to portray loyalty.

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Speaker 1: As if it's you know, like, oh like like President

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Speaker 1: Trump is like a mafia don and.

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Speaker 2: Uh kissed the ring. Oh you got, you must be

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Speaker 2: loyal to me.

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Speaker 1: That's not how President Trump is. In fact, President Trump

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Speaker 1: is fine with hearing dissenting opinions. I know because I've

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Speaker 1: talked to him before and and I've disagreed with him before,

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Speaker 1: and I've said it to him before, and he handles

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Speaker 1: that quite well. In fact, he wants to hear a

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Speaker 1: lot of different opinions. When the man's in charge of

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Speaker 1: a global business with tens of thousands of employees, He

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Speaker 1: worked with Democrats on a day to day basis, both

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Speaker 1: in his companies and in government officials in New York City.

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Speaker 1: He never had a problem before he was running for president.

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Speaker 1: Is only now we have Democrats and some Republicans, by

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Speaker 1: the way, pulling out all the stops to stab him

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Speaker 1: in the back at almost every opportunity available. But President

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Speaker 1: Trump doesn't mine here and dissenting opinions. He welcomes it.

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Speaker 1: But when you talk about loyalty and you look at

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Speaker 1: Ron DeSantis and the reason why I think most Americans

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Speaker 1: have a problem with what he's doing now. Ron DeSantis

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Speaker 1: is right. Governor de Santus is right. No one's entitled

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Speaker 1: to a nomination. And I think buying large primaries can

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Speaker 1: be a good thing because it helps you sharpen and

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Speaker 1: hone your message for the general election. So that's just

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Speaker 1: where I'm at on that he has a right to run.

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Speaker 1: But when you look at the whole question of loyalty,

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Speaker 1: like imagine you were at a firm or maybe you

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Speaker 1: were a lawyer or something, and half of the executive

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Speaker 1: team and half and half of maybe the board members

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Speaker 1: wanted to get rid of you and wanted to fire you,

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Speaker 1: and the CEO the company put his ass on the

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Speaker 1: line and stood out there on the parapet and said, no, no, no,

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Speaker 1: I believe in this guy. I want him with the

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Speaker 1: company and you all should too. And ultimately they take

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Speaker 1: a vote and they decide to keep you on.

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Speaker 2: What would happen.

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Speaker 1: Then, How would people in the company and that company

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Speaker 1: feel if then that person who the CEO save turn

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Speaker 1: around and try to get the CEO fired two years

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Speaker 1: later after the CEO went on a limb to save

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Speaker 1: this imaginary lawyer.

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Speaker 2: I mean, it wouldn't feel very good about it. Right.

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Speaker 2: That's called backstabbing. And I think this is just how.

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Speaker 1: Most Americans feel about what Ron DeSantis is doing running

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Speaker 1: against President Trump. I think most people think. Now again,

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Speaker 1: I say this to somebody who believes that Governor Desantus

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Speaker 1: is probably the best governor in the country, you know.

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Speaker 1: I think people feel like it's a betrayal to President Trump,

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Speaker 1: because ultimately Governor DeSantis would not have been governor if

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Speaker 1: Trump didn't help him. That does not to say that

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Speaker 1: he wasn't popular. It's not to say he hasn't done

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00:25:23,080 --> 00:25:25,199
Speaker 1: amazing things for that state. It's not the same that

433
00:25:25,440 --> 00:25:29,520
Speaker 1: it's not to say that that Governor DeSantis really he's

434
00:25:29,600 --> 00:25:32,480
Speaker 1: taken Florida off the boards as a swing state.

435
00:25:32,680 --> 00:25:35,199
Speaker 2: So he's done amazing things.

436
00:25:35,560 --> 00:25:38,200
Speaker 1: I'm just saying, I think what he's doing now running

437
00:25:38,200 --> 00:25:41,480
Speaker 1: against President Trump rubs people the wrong way because it's

438
00:25:41,520 --> 00:25:43,879
Speaker 1: just a loyalty thing. They believe he'stab President Trump on

439
00:25:43,920 --> 00:25:46,240
Speaker 1: the back when President Trump went on a limb for him.

440
00:25:46,280 --> 00:25:47,159
Speaker 2: So I'll just say that.

441
00:25:48,760 --> 00:25:51,600
Speaker 1: Apparently, and I know because I've talked to some of

442
00:25:51,640 --> 00:25:55,680
Speaker 1: my sources inside the government, But the GOP and some

443
00:25:55,720 --> 00:25:59,520
Speaker 1: strategists say that there's a growing concern that if Trump

444
00:25:59,680 --> 00:26:03,240
Speaker 1: is not the nominee, many of his core supporters who

445
00:26:03,400 --> 00:26:06,440
Speaker 1: are and these people are estimated to make up twenty

446
00:26:06,440 --> 00:26:09,000
Speaker 1: five percent to thirty five percent of the party's base,

447
00:26:09,760 --> 00:26:15,800
Speaker 1: will take their ball and go home. Now, I think

448
00:26:16,400 --> 00:26:20,440
Speaker 1: I wish that that wasn't the case. But here's here's

449
00:26:20,680 --> 00:26:26,440
Speaker 1: the point I'll make here. President Trump, the media and

450
00:26:26,640 --> 00:26:29,680
Speaker 1: a lot of I mean a lot of establishment Republicans

451
00:26:29,720 --> 00:26:33,480
Speaker 1: will try to make the point that President Trump is

452
00:26:33,760 --> 00:26:37,560
Speaker 1: a drag on the ballot That could not be further

453
00:26:37,680 --> 00:26:43,080
Speaker 1: from the truth. President Trump brings out a crazy, rabid

454
00:26:43,680 --> 00:26:47,040
Speaker 1: base and a cross section of base Republican voters that

455
00:26:47,119 --> 00:26:49,520
Speaker 1: no other Republican candidate can bring out, and That's why

456
00:26:49,960 --> 00:26:52,240
Speaker 1: when people go after President Trump for his endorsements and

457
00:26:52,280 --> 00:26:54,639
Speaker 1: they say, well, look at all of his endorsed candidates losing,

458
00:26:55,040 --> 00:26:57,000
Speaker 1: I think that's a fallacy for a great number of

459
00:26:57,040 --> 00:27:00,560
Speaker 1: reasons as well. We won't get in to that now,

460
00:27:00,560 --> 00:27:04,200
Speaker 1: that's a conversation for another time. But what I say

461
00:27:04,240 --> 00:27:06,280
Speaker 1: to these people is like, well, you know, that's okay,

462
00:27:06,359 --> 00:27:09,439
Speaker 1: but none of these candidates are President Trump, none of them.

463
00:27:10,440 --> 00:27:16,600
Speaker 1: So President Trump is you know, love him or hate him,

464
00:27:16,600 --> 00:27:20,080
Speaker 1: but he's by far the most influential political figure, certainly

465
00:27:20,080 --> 00:27:24,200
Speaker 1: in my lifetime, the most electrifying Republican certainly in my lifetime.

466
00:27:24,640 --> 00:27:30,119
Speaker 1: And the GOP base are the base of my party.

467
00:27:31,440 --> 00:27:35,320
Speaker 1: They're not dragging themselves over one hundred yards of broken

468
00:27:35,440 --> 00:27:40,720
Speaker 1: glass to vote for establishment GOP party leadership.

469
00:27:41,600 --> 00:27:41,879
Speaker 2: They're not.

470
00:27:43,000 --> 00:27:46,359
Speaker 1: That's the they're not. They're doing that for President Trump.

471
00:27:46,560 --> 00:27:50,800
Speaker 1: And what happens to candidates down the ballot. They're going

472
00:27:50,880 --> 00:27:54,240
Speaker 1: to get a lot of the establishment GOP traditional voters

473
00:27:54,240 --> 00:27:57,040
Speaker 1: what you call four four voters, and four to four

474
00:27:57,080 --> 00:28:00,520
Speaker 1: means like you're voting in you've got four election cycles.

475
00:28:00,640 --> 00:28:01,600
Speaker 2: A four or four voter.

476
00:28:01,560 --> 00:28:03,840
Speaker 1: Is somebody who votes in all four three or four

477
00:28:03,920 --> 00:28:05,960
Speaker 1: voters three out of four election cycles and so on.

478
00:28:06,560 --> 00:28:10,160
Speaker 1: But establishment GOP voters, most Republicans are going to get them.

479
00:28:10,480 --> 00:28:13,399
Speaker 1: But what we need, and when you talk, when you

480
00:28:13,440 --> 00:28:16,359
Speaker 1: hear about people uniting this party, what you need is both.

481
00:28:16,840 --> 00:28:19,679
Speaker 1: You need the twenty five to thirty five percent of

482
00:28:19,720 --> 00:28:22,919
Speaker 1: the rabid Trump base that only votes for Trump. We

483
00:28:22,960 --> 00:28:24,800
Speaker 1: need to figure out a way. Our party needs to

484
00:28:24,840 --> 00:28:27,000
Speaker 1: figure out a way to bring them into the fold.

485
00:28:27,800 --> 00:28:31,160
Speaker 1: And the last way that you do it is by

486
00:28:31,560 --> 00:28:34,600
Speaker 1: not being there for President Trump when he needs you most.

487
00:28:35,520 --> 00:28:38,960
Speaker 1: I just you in the I think part of the

488
00:28:39,000 --> 00:28:43,600
Speaker 1: reason why people feel like they're gonna stay home if

489
00:28:43,800 --> 00:28:46,600
Speaker 1: you know, somebody indicts President Trump and he gets thrown

490
00:28:46,640 --> 00:28:49,040
Speaker 1: in jail. I think part of the reason why our

491
00:28:49,080 --> 00:28:51,920
Speaker 1: base is like, ah, script man, this process is rigged.

492
00:28:52,040 --> 00:28:54,160
Speaker 2: I'm not going out. Look what they did to my guy.

493
00:28:54,240 --> 00:28:56,960
Speaker 1: They threw him in jail just to just to make

494
00:28:57,000 --> 00:28:59,440
Speaker 1: a point, just for some political bs.

495
00:28:59,720 --> 00:29:02,800
Speaker 2: And I ain't voting for the guy that benefited from that.

496
00:29:03,240 --> 00:29:07,040
Speaker 1: And I think that's another problem with DeSantis and the

497
00:29:07,040 --> 00:29:10,400
Speaker 1: way that the Trump base and certainly some base Republicans

498
00:29:10,440 --> 00:29:13,360
Speaker 1: feel is they feel like he's just loitering. He's just

499
00:29:13,840 --> 00:29:15,440
Speaker 1: even though he's going down in the polls, they feel

500
00:29:15,480 --> 00:29:18,640
Speaker 1: like he's just sticking around. And maybe this isn't just

501
00:29:18,640 --> 00:29:21,760
Speaker 1: a point to be made about about DeSantis. Maybe it's

502
00:29:21,760 --> 00:29:23,200
Speaker 1: a point that can be made about all the other

503
00:29:23,240 --> 00:29:25,640
Speaker 1: Republican candidates in the primary too, not just trying to

504
00:29:25,680 --> 00:29:29,280
Speaker 1: single him out. But he's the number two, so like

505
00:29:29,400 --> 00:29:32,000
Speaker 1: that's why I'm talking about him. But it just seems

506
00:29:32,040 --> 00:29:34,880
Speaker 1: like he's loitering and waiting to see what's gonna happen

507
00:29:34,960 --> 00:29:38,320
Speaker 1: with these indictments. And god forbid, if President Trump gets

508
00:29:38,320 --> 00:29:40,680
Speaker 1: indicted or is prohibited from running for president, or they

509
00:29:40,680 --> 00:29:42,600
Speaker 1: put him in pre trot confinement, which by the way,

510
00:29:42,640 --> 00:29:45,480
Speaker 1: wouldn't surprise me. With all these partists in DC hacked judges,

511
00:29:46,320 --> 00:29:49,200
Speaker 1: it seems like they're using these indictments against him for

512
00:29:49,280 --> 00:29:52,760
Speaker 1: political and personal benefit. I just think that voter voters

513
00:29:52,760 --> 00:29:55,600
Speaker 1: aren't gonna like that. So I think the concern that

514
00:29:57,040 --> 00:29:59,680
Speaker 1: GOP straategists have, many many of whom I've talked to

515
00:29:59,720 --> 00:30:02,640
Speaker 1: about Trump's base staying at home, I think they're warranted.

516
00:30:02,880 --> 00:30:05,120
Speaker 1: And I also understand why the BASS is doing it.

517
00:30:06,000 --> 00:30:06,360
Speaker 2: And so.

518
00:30:08,760 --> 00:30:11,960
Speaker 1: As the story about President Trump goes on, and President

519
00:30:11,960 --> 00:30:13,760
Speaker 1: Trump seems to be like one of the only people

520
00:30:13,800 --> 00:30:19,960
Speaker 1: out there fighting for himself. It seems like every time

521
00:30:20,240 --> 00:30:25,920
Speaker 1: a story about Joe Biden and his corruption and the

522
00:30:26,000 --> 00:30:30,360
Speaker 1: Hunter Biden stuff. It seems like it seems like anytime

523
00:30:30,440 --> 00:30:33,080
Speaker 1: news breaks about Hunter Biden, whether it's their bank statements

524
00:30:33,200 --> 00:30:36,200
Speaker 1: or taking twenty million dollars from countries you hate us,

525
00:30:36,360 --> 00:30:38,640
Speaker 1: or you know, in the case of Hunter Biden, sniffing

526
00:30:38,680 --> 00:30:41,720
Speaker 1: cocaine off of hooker's butts or his laptop or whatever,

527
00:30:42,360 --> 00:30:45,360
Speaker 1: it seems like anytime news drops about Biden corrupts and

528
00:30:45,560 --> 00:30:48,720
Speaker 1: they roll out another Trump indictment indictment to divert the

529
00:30:48,760 --> 00:30:55,160
Speaker 1: news cycle. I think what goes hand in hand with

530
00:30:54,720 --> 00:31:00,800
Speaker 1: the Trump indictments is the Biden corruption. I think they're

531
00:31:00,880 --> 00:31:04,959
Speaker 1: inextricably tied together because they tend to drive the news cycle.

532
00:31:05,400 --> 00:31:09,600
Speaker 1: News comes out about Biden corruption, new Trump indictment, news

533
00:31:09,640 --> 00:31:13,080
Speaker 1: comes out about Hunter Biden doing something another Trump indictment.

534
00:31:14,000 --> 00:31:17,720
Speaker 1: It's almost it's plain as day if you're paying attention,

535
00:31:18,640 --> 00:31:21,480
Speaker 1: and you know, Democrats in the House and in the

536
00:31:21,520 --> 00:31:24,040
Speaker 1: Senate were in full spin mode on the Sunday shows

537
00:31:24,080 --> 00:31:28,240
Speaker 1: this weekend, talking about and trying desperately to spin the

538
00:31:28,320 --> 00:31:32,000
Speaker 1: Hunter Biden stuff and the Joe Biden corruption. I mean, frankly,

539
00:31:32,360 --> 00:31:35,680
Speaker 1: it is it's plain as day at this point. If

540
00:31:35,720 --> 00:31:40,240
Speaker 1: you can't see just how corrupt the Biden administration is,

541
00:31:40,760 --> 00:31:42,280
Speaker 1: I don't know what to tell you at this point.

542
00:31:42,560 --> 00:31:44,920
Speaker 1: Either your head's in the sand, or your hardcore leftist,

543
00:31:45,000 --> 00:31:45,840
Speaker 1: or you're just stupid.

544
00:31:45,880 --> 00:31:46,320
Speaker 2: I don't know.

545
00:31:48,080 --> 00:31:51,880
Speaker 1: But check out this video of Democrat Representative Dan Goldman,

546
00:31:51,880 --> 00:31:57,200
Speaker 1: who was basically the de facto Biden attorney, responding to

547
00:31:57,520 --> 00:31:59,360
Speaker 1: I think he's on. I think he's on with Monica

548
00:31:59,440 --> 00:32:04,960
Speaker 1: Lewinsky's boyfriend Jake Tapper. Check out this video of how

549
00:32:05,000 --> 00:32:07,840
Speaker 1: he responds to this question by Monica Lewinsky's boyfriends.

550
00:32:08,240 --> 00:32:12,120
Speaker 4: Yet, notwithstanding all of the time, effort and all of

551
00:32:12,160 --> 00:32:16,560
Speaker 4: the moving goalposts, there's no evidence connecting President Biden to

552
00:32:16,760 --> 00:32:20,880
Speaker 4: any of his son's business dealings. And you can, you know,

553
00:32:20,920 --> 00:32:23,240
Speaker 4: you can sing all you want and make all sorts

554
00:32:23,240 --> 00:32:25,920
Speaker 4: of accusations, but the fact of the matter is that

555
00:32:26,000 --> 00:32:29,600
Speaker 4: President Biden there's been no evidence to show that he's

556
00:32:29,640 --> 00:32:32,240
Speaker 4: been involved in anything. And so Hunter Biden will be

557
00:32:32,280 --> 00:32:34,960
Speaker 4: treated by the Department of Justice as he should be.

558
00:32:35,480 --> 00:32:39,880
Speaker 4: But Congress needs to stop investigating a private citizen and

559
00:32:40,560 --> 00:32:44,440
Speaker 4: stop this fishing expedition to try to link President Biden

560
00:32:44,520 --> 00:32:48,120
Speaker 4: to Hunter Biden's conduct when there is no evidence to

561
00:32:48,240 --> 00:32:48,800
Speaker 4: support that.

562
00:32:50,040 --> 00:32:54,080
Speaker 1: Oh, you know, accept sworn testimony, except bank records, except

563
00:32:54,120 --> 00:32:58,800
Speaker 1: text messages, photos, emails, visitor logs, lunch meetings.

564
00:32:59,240 --> 00:33:00,920
Speaker 2: Or you know, tell them a lot more.

565
00:33:01,400 --> 00:33:04,160
Speaker 1: I mean, there's no way the American people believe this, right,

566
00:33:04,600 --> 00:33:07,640
Speaker 1: I mean, it's there's no way Goldman believes this.

567
00:33:08,160 --> 00:33:11,040
Speaker 2: I mean, I just don't know, folks.

568
00:33:11,160 --> 00:33:14,160
Speaker 1: I think I think this story for Joe Biden is

569
00:33:14,200 --> 00:33:16,360
Speaker 1: just gonna get a hell of a lot worse. And

570
00:33:17,600 --> 00:33:21,080
Speaker 1: you know, I don't know how he recovers from this now.

571
00:33:21,160 --> 00:33:24,320
Speaker 1: I also am careful when I say that, because the

572
00:33:24,360 --> 00:33:26,320
Speaker 1: media has also ah the walls are closing in on

573
00:33:26,400 --> 00:33:31,120
Speaker 1: President Trump for four years. But bank statements are bank

574
00:33:31,160 --> 00:33:37,760
Speaker 1: statements taking money from a corrupt oligarch in Ukraine and Russia,

575
00:33:38,000 --> 00:33:41,960
Speaker 1: from the CCP, paying Hunter Biden with bag full of diamonds.

576
00:33:42,040 --> 00:33:45,280
Speaker 1: I mean, you can't lie about this stuff. And all

577
00:33:45,360 --> 00:33:48,920
Speaker 1: this was while most of it, I should say, was

578
00:33:48,960 --> 00:33:54,560
Speaker 1: while Joe Biden was Vice president. There's also evidence trickling

579
00:33:54,640 --> 00:33:58,240
Speaker 1: out that he benefited that he benefited while he was

580
00:33:58,320 --> 00:34:00,360
Speaker 1: President of the United States.

581
00:34:00,800 --> 00:34:02,680
Speaker 2: So I like, look, folks, stay.

582
00:34:02,520 --> 00:34:04,320
Speaker 1: Tuned on a lot of this stuff, and we'll make

583
00:34:04,320 --> 00:34:07,920
Speaker 1: sure you keep getting the information. But there's another video

584
00:34:07,960 --> 00:34:10,160
Speaker 1: I want you to see. You Democrat Rep. Jamie Raskin,

585
00:34:10,719 --> 00:34:15,799
Speaker 1: And I think this speaks to the Democrat strategy on

586
00:34:15,840 --> 00:34:19,520
Speaker 1: addressing Biden corruption moving forward and into twenty twenty four.

587
00:34:19,560 --> 00:34:22,920
Speaker 1: And it's just pivot, you know, pivot away from it,

588
00:34:23,000 --> 00:34:27,000
Speaker 1: don't answer it, deflect. But this is again, this is

589
00:34:27,000 --> 00:34:29,080
Speaker 1: stuff that came out on Sunday, So maybe you missed it,

590
00:34:29,080 --> 00:34:30,200
Speaker 1: but we're going to bring it to you today.

591
00:34:30,200 --> 00:34:31,240
Speaker 2: Go ahead and play the tape.

592
00:34:31,280 --> 00:34:35,040
Speaker 7: We saw Joe Biden at one point say that Hunter

593
00:34:35,080 --> 00:34:38,120
Speaker 7: Biden had no dealings, got no money from China. We

594
00:34:38,239 --> 00:34:42,320
Speaker 7: now see from Hunter's own words that that's not true.

595
00:34:43,960 --> 00:34:46,319
Speaker 7: Does any of this raise concerns for you? You know,

596
00:34:46,360 --> 00:34:49,520
Speaker 7: the money from Ukraine, the money from China, the money

597
00:34:49,560 --> 00:34:53,239
Speaker 7: from Russia. Does any of this well, you know, look,

598
00:34:53,280 --> 00:34:55,680
Speaker 7: whether or not it's criminal, whether or not it's Warren's

599
00:34:55,680 --> 00:34:56,960
Speaker 7: Special Council status.

600
00:34:57,400 --> 00:34:59,920
Speaker 6: Are you concerned about this stuff? Here's what I'm conc

601
00:35:00,040 --> 00:35:04,520
Speaker 6: learned about. During the Trump administration, we saw the development

602
00:35:04,920 --> 00:35:10,840
Speaker 6: of a completely new public philosophy, which is that government

603
00:35:11,000 --> 00:35:13,040
Speaker 6: is not an instrument of the common good and the

604
00:35:13,040 --> 00:35:16,560
Speaker 6: public interest. Government is an instrument for private self enrichment

605
00:35:16,600 --> 00:35:19,239
Speaker 6: for the guy who gets in for his family, for

606
00:35:19,360 --> 00:35:22,239
Speaker 6: his private businesses. And that's a model that we're seeing

607
00:35:22,280 --> 00:35:23,080
Speaker 6: all over the world.

608
00:35:25,120 --> 00:35:27,880
Speaker 1: So yeah, yeah, yeah, all that stuff about Biden corruption,

609
00:35:28,000 --> 00:35:29,320
Speaker 1: who by the way, is a city president in the

610
00:35:29,440 --> 00:35:32,360
Speaker 1: United States, and and all that stuff about his bank records,

611
00:35:32,360 --> 00:35:34,759
Speaker 1: but let's just talk about a Trump instead. That's what

612
00:35:34,840 --> 00:35:40,080
Speaker 1: I'm really concerned about. And I am concerned that Trump

613
00:35:40,400 --> 00:35:43,960
Speaker 1: used the White House to enrich himself and his family.

614
00:35:44,160 --> 00:35:45,960
Speaker 1: Are you kidding me?

615
00:35:47,440 --> 00:35:48,320
Speaker 2: It is clear.

616
00:35:48,840 --> 00:35:54,680
Speaker 1: It is clear that President Trump lost maybe hundreds of.

617
00:35:54,640 --> 00:35:56,360
Speaker 2: Millions of dollars from being president.

618
00:35:56,760 --> 00:36:00,760
Speaker 1: The guy went from being a billionaire playboy, real estate

619
00:36:00,840 --> 00:36:03,720
Speaker 1: mogul with the global business.

620
00:36:03,719 --> 00:36:06,480
Speaker 2: Could have skated the rest of his life.

621
00:36:06,719 --> 00:36:10,280
Speaker 1: It's like never had to worry about anything again, passed

622
00:36:10,280 --> 00:36:15,240
Speaker 1: the business on to his son. But to this moron,

623
00:36:15,280 --> 00:36:19,120
Speaker 1: to this mouth breather, oh my, so oh he's President

624
00:36:19,200 --> 00:36:22,759
Speaker 1: Trump somehow used his his position as.

625
00:36:22,719 --> 00:36:26,359
Speaker 2: President to enrich himself. Are you kidding? Well?

626
00:36:26,440 --> 00:36:29,399
Speaker 1: How about how about we talk about the Democrats who

627
00:36:29,520 --> 00:36:32,680
Speaker 1: actually do this. I mean, first person that comes to

628
00:36:32,719 --> 00:36:35,000
Speaker 1: mind is, of course Joe Biden, who has been in

629
00:36:35,239 --> 00:36:37,799
Speaker 1: Washington for fifty years as a public servant and is

630
00:36:37,840 --> 00:36:40,440
Speaker 1: somehow worth hundreds of millions of dollars. And we know

631
00:36:40,520 --> 00:36:44,279
Speaker 1: how now through selling influence to foreign countries who hate us.

632
00:36:44,440 --> 00:36:45,439
Speaker 2: It's clear as day.

633
00:36:46,239 --> 00:36:49,400
Speaker 1: Why does Joe Biden making a US senator salary of

634
00:36:49,400 --> 00:36:51,719
Speaker 1: six one hundred and seventy four thousand dollars plus maybe

635
00:36:51,719 --> 00:36:53,759
Speaker 1: give or take a penny here or there, I don't know,

636
00:36:53,840 --> 00:36:56,920
Speaker 1: but it ain't like he's making ten million dollars a year.

637
00:36:56,960 --> 00:36:57,640
Speaker 2: I'll tell you that.

638
00:36:57,800 --> 00:37:01,080
Speaker 1: How does he owned Beachfront Proper Oliver, Delaware? How many

639
00:37:01,080 --> 00:37:06,920
Speaker 1: homes does Joe Biden own on a government paycheck? I mean,

640
00:37:07,040 --> 00:37:09,720
Speaker 1: why is Dianne Feinstein's net worth of over one hundred

641
00:37:09,719 --> 00:37:12,960
Speaker 1: million dollars? I mean, these are people who spent their

642
00:37:12,960 --> 00:37:17,440
Speaker 1: whole careers in Washington. President Trump spent his entire career

643
00:37:17,520 --> 00:37:20,760
Speaker 1: building a global business. That is why he's worth money.

644
00:37:21,440 --> 00:37:23,479
Speaker 1: The fact that he used the White House to enrich

645
00:37:23,560 --> 00:37:29,080
Speaker 1: himself is just unbelievable. But again, the Democrats have no shame,

646
00:37:29,520 --> 00:37:32,200
Speaker 1: they don't care. They're willing to lie to you. They're

647
00:37:32,200 --> 00:37:32,759
Speaker 1: willing to.

648
00:37:32,680 --> 00:37:34,840
Speaker 2: Lie to the media because.

649
00:37:35,960 --> 00:37:39,400
Speaker 1: Many people in the media give them absolutely no pushback,

650
00:37:40,120 --> 00:37:42,480
Speaker 1: a total and complete pass.

651
00:37:43,000 --> 00:37:46,480
Speaker 2: But I'm just not sure. I mean, it's hard to

652
00:37:46,600 --> 00:37:50,000
Speaker 2: it's hard. It feels like it feels like.

653
00:37:50,040 --> 00:37:53,759
Speaker 1: The Democrats aren't sure what's going to happen with Joe

654
00:37:53,800 --> 00:37:57,240
Speaker 1: Biden in the future. Like, in other words, they don't

655
00:37:57,320 --> 00:38:01,640
Speaker 1: know how bad this corruption is going to get or

656
00:38:01,680 --> 00:38:03,440
Speaker 1: what could be revealed tomorrow.

657
00:38:03,920 --> 00:38:06,800
Speaker 2: And it feels like to me it would be folly.

658
00:38:07,200 --> 00:38:11,759
Speaker 1: From a strategic standpoint to not have somebody waiting in

659
00:38:11,800 --> 00:38:15,080
Speaker 1: the wings. And I mean, to me, just you know,

660
00:38:15,560 --> 00:38:18,880
Speaker 1: I'm not making any bets on this. Gavin Newsom from

661
00:38:18,960 --> 00:38:22,080
Speaker 1: California seems pretty attractive now, I mean, the problem is

662
00:38:22,080 --> 00:38:25,880
Speaker 1: is that he's not Scranton Joe. I mean, now, granted,

663
00:38:26,040 --> 00:38:28,680
Speaker 1: we all know that all Democrats are all the same,

664
00:38:28,719 --> 00:38:31,240
Speaker 1: they all vote the same, they're all radical communists anymore

665
00:38:32,520 --> 00:38:35,719
Speaker 1: for the most part, but certainly seems a hell of

666
00:38:35,800 --> 00:38:38,680
Speaker 1: a lot more attractive than Joe Biden right now. Or

667
00:38:38,719 --> 00:38:42,840
Speaker 1: how about this Michelle Obama. It seems like some people

668
00:38:42,880 --> 00:38:45,200
Speaker 1: in the media are trying to lay the foundations for that.

669
00:38:45,640 --> 00:38:50,120
Speaker 1: I don't know, might seem crazy. Might not, but mark

670
00:38:50,160 --> 00:38:54,480
Speaker 1: my words, folks, I feel like this twenty twenty four

671
00:38:54,600 --> 00:38:57,560
Speaker 1: cycle might not have Biden at the top of the ticket,

672
00:38:58,880 --> 00:39:01,719
Speaker 1: and so I wanted to transition real quick to the

673
00:39:01,440 --> 00:39:07,600
Speaker 1: to to something. Lots of COVID news broke over the weekend.

674
00:39:09,040 --> 00:39:15,560
Speaker 1: Did you see the story of records revealing Fauci and

675
00:39:15,640 --> 00:39:20,320
Speaker 1: others made over three hundred million from the COVID pandemic

676
00:39:20,360 --> 00:39:26,080
Speaker 1: while Americans suffered? I this one, really, this one really

677
00:39:26,120 --> 00:39:30,279
Speaker 1: hits close to home here. You know, these people, they

678
00:39:30,320 --> 00:39:34,320
Speaker 1: made hundreds of millions of dollars in speaking engagements or

679
00:39:34,480 --> 00:39:37,279
Speaker 1: royalty payments from pfizers from being on the board of

680
00:39:37,320 --> 00:39:42,680
Speaker 1: some pharmaceutical company. I don't know, it's hard to wrap

681
00:39:42,680 --> 00:39:45,520
Speaker 1: my mind around that. I mean, it's almost evil to

682
00:39:45,600 --> 00:39:49,160
Speaker 1: me because the very same people who locked us down

683
00:39:49,920 --> 00:39:53,520
Speaker 1: and forced your loved ones to die alone, the very

684
00:39:53,560 --> 00:39:57,839
Speaker 1: same people who forced you know, newborns to be held

685
00:39:57,840 --> 00:40:01,319
Speaker 1: by only one parent, or bush you're savings account, or

686
00:40:01,320 --> 00:40:03,680
Speaker 1: closed your business, or locked you down in your home

687
00:40:03,760 --> 00:40:07,759
Speaker 1: and forced a mass that wasn't effective at all on

688
00:40:07,800 --> 00:40:11,080
Speaker 1: your face for damn near two years, called you a

689
00:40:11,120 --> 00:40:14,640
Speaker 1: domestic terrorist or conspiracy theorist for speaking out against the lockdowns,

690
00:40:14,640 --> 00:40:16,680
Speaker 1: even though we know now they were not effective at all.

691
00:40:17,520 --> 00:40:19,919
Speaker 1: In fact, there are some studies out there that say

692
00:40:19,920 --> 00:40:23,800
Speaker 1: that they cost our lockdown strategy cost over one hundred

693
00:40:24,120 --> 00:40:26,839
Speaker 1: between one hundred and fifty thousand, two hundred thousand lives killed.

694
00:40:26,840 --> 00:40:33,080
Speaker 2: People. To think that these people, that these.

695
00:40:34,520 --> 00:40:39,400
Speaker 1: Medical bureaucrats that nobody elected, made millions while Americans were

696
00:40:39,520 --> 00:40:43,880
Speaker 1: suffering just makes me sick to my stomach. And the

697
00:40:43,920 --> 00:40:47,239
Speaker 1: fact that it seems like there was no method or

698
00:40:47,280 --> 00:40:52,280
Speaker 1: madness to how to their pandemic response strategy is also

699
00:40:52,360 --> 00:40:58,520
Speaker 1: something that is really upsetting to me. And I guess

700
00:40:58,960 --> 00:41:04,760
Speaker 1: lastly on this, you remember the conversation at a committee

701
00:41:04,760 --> 00:41:07,680
Speaker 1: hearing with ram Paul and Fauci. Do you remember when

702
00:41:07,760 --> 00:41:12,080
Speaker 1: ram Paul asked doctor Fauci if he made any any

703
00:41:12,120 --> 00:41:14,960
Speaker 1: money during this pandemic or off of these pharmaceutical companies

704
00:41:14,960 --> 00:41:20,200
Speaker 1: who are pushing an untested vaccine on the American people. That's,

705
00:41:20,280 --> 00:41:24,799
Speaker 1: again we know now was largely ineffective. You remember when

706
00:41:24,800 --> 00:41:27,280
Speaker 1: he was asked about that. Let's I've got that tape

707
00:41:27,280 --> 00:41:28,279
Speaker 1: for you. Let's roll it.

708
00:41:28,920 --> 00:41:31,080
Speaker 8: Here's what I want to know. It's not just about you.

709
00:41:31,360 --> 00:41:34,200
Speaker 8: Everybody on the vaccine committee. Have any of them ever

710
00:41:34,280 --> 00:41:36,960
Speaker 8: received money from the people who make vaccines? Can you

711
00:41:37,000 --> 00:41:39,360
Speaker 8: tell me that? Can you tell me if anybody on

712
00:41:39,400 --> 00:41:42,800
Speaker 8: the vaccine approval committees ever received any money?

713
00:41:43,719 --> 00:41:46,880
Speaker 2: Question SoundBite number one. Are you gonna let me answer it?

714
00:41:47,000 --> 00:41:47,360
Speaker 9: Question?

715
00:41:48,480 --> 00:41:50,440
Speaker 2: Okay, So let me give you some information.

716
00:41:50,560 --> 00:41:55,400
Speaker 10: First of all, according to the regulations, people who receive

717
00:41:55,640 --> 00:41:59,880
Speaker 10: royalties are not required to divulge them, even on the

718
00:42:00,120 --> 00:42:03,520
Speaker 10: financial statement according to the bi dol Act.

719
00:42:05,040 --> 00:42:07,960
Speaker 1: According to the regulation, he's not required to tell you

720
00:42:08,040 --> 00:42:10,880
Speaker 1: if he made money while your family was being crushed,

721
00:42:10,920 --> 00:42:15,080
Speaker 1: while your loved ones died alone A what kind of

722
00:42:15,760 --> 00:42:20,439
Speaker 1: bogus BS answer is that? Just answer the question. It's

723
00:42:20,480 --> 00:42:23,840
Speaker 1: real simple, yes or no? Did you make money during

724
00:42:23,840 --> 00:42:27,759
Speaker 1: the pandemic when people's lives were being destroyed and their

725
00:42:27,840 --> 00:42:32,520
Speaker 1: savings account drained? Did you make money during the pandemic,

726
00:42:32,719 --> 00:42:33,520
Speaker 1: doctor Fauci?

727
00:42:33,760 --> 00:42:37,520
Speaker 2: Yes or no? I don't need to hear some BS

728
00:42:37,560 --> 00:42:41,759
Speaker 2: about some regulation. Oh, your regulation.

729
00:42:41,440 --> 00:42:45,240
Speaker 1: Requires that I don't actually have to tell you.

730
00:42:45,880 --> 00:42:48,799
Speaker 2: How much money I made? Like, what the hell is

731
00:42:48,840 --> 00:42:53,400
Speaker 2: that these bureaucrats.

732
00:42:54,480 --> 00:42:57,960
Speaker 1: The fact that they could profit off the people's tragedy

733
00:42:58,600 --> 00:43:01,960
Speaker 1: is something that we should never allow to happen in

734
00:43:02,000 --> 00:43:06,920
Speaker 1: this country. Again, what these people did to the American

735
00:43:06,920 --> 00:43:11,000
Speaker 1: people during COVID was one of the worst human rights

736
00:43:11,040 --> 00:43:15,160
Speaker 1: tragedies I mean, top fifteen in the last.

737
00:43:15,000 --> 00:43:16,080
Speaker 2: One hundred years.

738
00:43:16,560 --> 00:43:21,520
Speaker 1: I mean, one of the worst examples of government abuse.

739
00:43:22,040 --> 00:43:26,360
Speaker 1: By the way, by and large media celebrated government abuse

740
00:43:26,600 --> 00:43:28,960
Speaker 1: that I certainly have ever seen.

741
00:43:29,960 --> 00:43:31,520
Speaker 2: And we need to make.

742
00:43:31,400 --> 00:43:35,160
Speaker 1: Sure that we elect leaders that hold these unelected bureaucrats

743
00:43:35,400 --> 00:43:39,839
Speaker 1: who hurt whose policies hurt the American people, who, by

744
00:43:39,880 --> 00:43:45,040
Speaker 1: the way, had never once been held accountable at all.

745
00:43:45,320 --> 00:43:48,439
Speaker 1: I mean, my god, if we made mistakes like they did,

746
00:43:48,480 --> 00:43:49,959
Speaker 1: we'd be fired from our job.

747
00:43:50,320 --> 00:43:52,359
Speaker 2: There would be there would be.

748
00:43:52,680 --> 00:43:56,960
Speaker 1: Consequences for our failure. But if you're a government bureaucrat,

749
00:43:56,960 --> 00:43:58,920
Speaker 1: and certainly if you're a Democrat or you support these

750
00:43:58,960 --> 00:44:03,759
Speaker 1: Democrat policies fail up, well, surely there had to be

751
00:44:03,880 --> 00:44:07,600
Speaker 1: some method to the madness. I mean, Mandy Cohen, who

752
00:44:07,640 --> 00:44:10,840
Speaker 1: is our current CDC director, I mean, surely when they

753
00:44:10,920 --> 00:44:16,320
Speaker 1: talk about trust, just trust the science, you stupid conservatives.

754
00:44:16,360 --> 00:44:19,600
Speaker 2: Oh you're anti science, conspiracy theorists.

755
00:44:20,000 --> 00:44:24,560
Speaker 1: Surely their their strategy was based in science, right, I mean,

756
00:44:24,600 --> 00:44:26,560
Speaker 1: I don't know. Let's see what Let's see what Mandy Cohen, who,

757
00:44:26,560 --> 00:44:30,200
Speaker 1: by the way, is our current CDC director, our current

758
00:44:30,640 --> 00:44:31,880
Speaker 1: CDC director.

759
00:44:32,040 --> 00:44:33,200
Speaker 2: Let's see what she had to say.

760
00:44:33,440 --> 00:44:36,200
Speaker 11: So I would call probably the person I called most

761
00:44:36,320 --> 00:44:38,920
Speaker 11: was the Secretary of Health and Human Services in Massachusetts.

762
00:44:39,360 --> 00:44:42,719
Speaker 11: She worked for a publican governor just to but you

763
00:44:42,760 --> 00:44:44,800
Speaker 11: know when she was like, are you are you gonna

764
00:44:44,840 --> 00:44:47,719
Speaker 11: let them have professional football?

765
00:44:47,840 --> 00:44:49,560
Speaker 6: And I was like nope, and she's.

766
00:44:49,440 --> 00:44:54,440
Speaker 11: Like, okay, neither are we nearly? So h You know,

767
00:44:54,480 --> 00:44:58,440
Speaker 11: it was like conversations like that, so or I'd be like, so,

768
00:44:58,480 --> 00:45:01,399
Speaker 11: when are you gonna think about out lightening up a mess?

769
00:45:01,440 --> 00:45:04,000
Speaker 11: Or like it's like next Monday. I'm like, okay, next Monday.

770
00:45:05,680 --> 00:45:07,160
Speaker 2: Ah, did you hear that?

771
00:45:07,840 --> 00:45:11,640
Speaker 1: Are you going to let them? Are you going to

772
00:45:11,760 --> 00:45:14,320
Speaker 1: let them have professional football?

773
00:45:14,520 --> 00:45:14,640
Speaker 10: Now?

774
00:45:15,040 --> 00:45:15,440
Speaker 2: Okay?

775
00:45:16,040 --> 00:45:18,800
Speaker 1: So this woman is talking over a glass of chardonnay

776
00:45:18,880 --> 00:45:22,560
Speaker 1: on the phone with her friend in Massachusetts, implementing policies

777
00:45:22,560 --> 00:45:25,359
Speaker 1: that are destroying your life and talking about it as

778
00:45:25,360 --> 00:45:28,680
Speaker 1: if she has the ability and the power to tell

779
00:45:28,800 --> 00:45:32,640
Speaker 1: you what to do. That is the antithesis of living

780
00:45:32,640 --> 00:45:36,799
Speaker 1: in America. That is the antithesis of individual freedom. But

781
00:45:36,880 --> 00:45:41,239
Speaker 1: that's how they think about you. Are we are we

782
00:45:41,760 --> 00:45:45,279
Speaker 1: unelected bureaucrats. You didn't vote for these people. I didn't

783
00:45:45,360 --> 00:45:48,359
Speaker 1: vote for these people, But this is unelected bureaucrats. Are

784
00:45:48,360 --> 00:45:52,480
Speaker 1: we going to let them have this? That's not the

785
00:45:52,520 --> 00:45:54,440
Speaker 1: country that I want to live in. And I know

786
00:45:54,880 --> 00:45:57,200
Speaker 1: that's not the country that you want to live in either,

787
00:45:57,360 --> 00:46:00,520
Speaker 1: And that's not the country we should tolerate moveing forward,

788
00:46:00,719 --> 00:46:03,719
Speaker 1: especially in I've got five kids. I don't want them

789
00:46:03,719 --> 00:46:07,799
Speaker 1: growing up and in America, where unelected government bureaucrats can

790
00:46:07,840 --> 00:46:10,120
Speaker 1: tell them what they can and can't have, and what

791
00:46:10,160 --> 00:46:11,560
Speaker 1: life they what path.

792
00:46:11,360 --> 00:46:14,200
Speaker 2: They choose in life. It's absolutely sickening.

793
00:46:14,239 --> 00:46:19,719
Speaker 1: Yet again a perfect example of these people, these unelected

794
00:46:19,760 --> 00:46:23,480
Speaker 1: bureaucrats failing up. Now, this woman is the director of

795
00:46:23,480 --> 00:46:26,200
Speaker 1: the CDC. So for those of you all thinking that

796
00:46:26,239 --> 00:46:30,919
Speaker 1: lockdowns can never happen again, these mouth breathing morons are

797
00:46:31,040 --> 00:46:35,120
Speaker 1: still in charge of many of these institutions. It will

798
00:46:35,160 --> 00:46:38,120
Speaker 1: not stop until we draw a line in the sand

799
00:46:38,400 --> 00:46:42,520
Speaker 1: and say enough is enough. And so thankfully there's a

800
00:46:42,520 --> 00:46:46,280
Speaker 1: study that came out who's still getting vaccinated in August

801
00:46:46,280 --> 00:46:50,719
Speaker 1: of twenty twenty three, Well it looks like almost no one.

802
00:46:51,120 --> 00:46:55,400
Speaker 1: And what's fascinating these are the daily COVID nineteen vaccine

803
00:46:55,440 --> 00:46:57,040
Speaker 1: doses administered.

804
00:46:57,080 --> 00:46:59,320
Speaker 2: Now I am not I want.

805
00:46:59,160 --> 00:47:01,719
Speaker 1: To repeat for these lib hacks that are gonna be

806
00:47:02,719 --> 00:47:05,160
Speaker 1: watching this show and clipping it up and trying to

807
00:47:05,200 --> 00:47:07,399
Speaker 1: make it seem like I'm some whack job crazy person,

808
00:47:07,400 --> 00:47:12,440
Speaker 1: which they already do, but I don't care. I'm not

809
00:47:12,520 --> 00:47:17,120
Speaker 1: some crazy anti vaxer. Right, but this vaccine clearly didn't work.

810
00:47:17,960 --> 00:47:21,000
Speaker 1: They lied to you. In fact, it wasn't even a vaccine,

811
00:47:21,160 --> 00:47:25,359
Speaker 1: it was it was a therapeutic. It maybe maybe if

812
00:47:25,560 --> 00:47:26,960
Speaker 1: you know, and I'm not even gonna say that, it

813
00:47:27,000 --> 00:47:30,080
Speaker 1: clearly didn't work. And if you look at look at

814
00:47:30,080 --> 00:47:35,200
Speaker 1: December of twenty twenty, almost forty million people again vaccine

815
00:47:35,280 --> 00:47:40,239
Speaker 1: doses admitted seven day rolling averages. All doses including boosters

816
00:47:40,320 --> 00:47:44,080
Speaker 1: are counted individually, so it looks like in December of

817
00:47:44,280 --> 00:47:48,520
Speaker 1: twenty twenty under ten million, maybe, January twenty twenty one

818
00:47:48,600 --> 00:47:52,600
Speaker 1: twenty million, September twelfth, twenty twenty one forty million, so

819
00:47:52,640 --> 00:47:55,920
Speaker 1: it peaks out at an over forty million. Actually, and

820
00:47:55,960 --> 00:47:58,520
Speaker 1: now it's down to world seven day rolling averages for

821
00:47:58,600 --> 00:48:00,799
Speaker 1: vaccines almost no one.

822
00:48:01,280 --> 00:48:02,400
Speaker 2: Why do you think that is?

823
00:48:04,040 --> 00:48:07,160
Speaker 1: Do you think it might be because people in this

824
00:48:07,920 --> 00:48:11,520
Speaker 1: country and all around the world are realizing that government

825
00:48:11,520 --> 00:48:12,680
Speaker 1: officials lied.

826
00:48:12,480 --> 00:48:15,560
Speaker 2: To them about it. Or do you think maybe all

827
00:48:15,640 --> 00:48:16,320
Speaker 2: these people.

828
00:48:16,120 --> 00:48:19,280
Speaker 1: Who aren't getting vaccined, are they all conspiracy theorists, Because

829
00:48:19,280 --> 00:48:21,440
Speaker 1: that's what the left called all of us when we

830
00:48:21,440 --> 00:48:24,279
Speaker 1: didn't want to get vaccinated. That they said, you're an

831
00:48:24,320 --> 00:48:27,960
Speaker 1: anti vaxxer. You're a conspiracy theorist. Oh and not only that,

832
00:48:28,480 --> 00:48:32,640
Speaker 1: you're responsible for killing your grandma. You're an enemy of

833
00:48:32,640 --> 00:48:36,280
Speaker 1: the state. Remember what Joe Biden said, Our patience is waning,

834
00:48:36,360 --> 00:48:39,919
Speaker 1: but we can't wait. These people that are vaccinated, you're

835
00:48:40,040 --> 00:48:43,719
Speaker 1: the ones causing all the deaths. In fact, you had

836
00:48:43,760 --> 00:48:46,800
Speaker 1: Jimmy Kimble out there saying that, oh, you haven't been vaccinated.

837
00:48:46,840 --> 00:48:48,360
Speaker 1: You're not even getting medical care. We're not going to

838
00:48:48,400 --> 00:48:51,040
Speaker 1: allow you into an emergency room. They painted you as

839
00:48:51,040 --> 00:48:54,960
Speaker 1: an enemy for damn near a year, and now people

840
00:48:55,000 --> 00:48:59,440
Speaker 1: all around the globe nobody's getting vaccinated, And maybe that's

841
00:48:59,480 --> 00:48:59,960
Speaker 1: a good thing.

842
00:49:00,840 --> 00:49:02,120
Speaker 2: You know, you look at Eurostat.

843
00:49:02,560 --> 00:49:07,000
Speaker 1: There's a video that I found Eurostat which reveals your

844
00:49:07,080 --> 00:49:12,800
Speaker 1: Stat's just a European way of measuring different vaccination stats

845
00:49:13,080 --> 00:49:16,000
Speaker 1: by country in the European Union. So I thought this

846
00:49:16,120 --> 00:49:20,520
Speaker 1: video was really interesting. It doesn't necessarily prove anything, but

847
00:49:20,600 --> 00:49:23,759
Speaker 1: as we continue to peel back the onion on how

848
00:49:23,800 --> 00:49:27,719
Speaker 1: this vaccine affected people, it's an interesting data point, to

849
00:49:27,760 --> 00:49:31,520
Speaker 1: say the least. So your stat reveals that most vaccinated

850
00:49:31,600 --> 00:49:35,520
Speaker 1: countries are still seeing high rates.

851
00:49:35,200 --> 00:49:36,320
Speaker 2: Of excess mortality.

852
00:49:36,360 --> 00:49:39,440
Speaker 1: I'll say that again, most vaccinated countries are still seeing

853
00:49:40,000 --> 00:49:43,239
Speaker 1: high rates of excess mortality. I want to play this

854
00:49:43,320 --> 00:49:45,040
Speaker 1: video and then we'll talk about it.

855
00:49:45,480 --> 00:49:49,960
Speaker 12: This is from EUROSTAT, So this is the official European

856
00:49:50,080 --> 00:49:59,640
Speaker 12: Union Statistics EU excess mortality from EUROSTAT. Now, looking down

857
00:49:59,719 --> 00:50:04,680
Speaker 12: here conveniently breaks this up into different countries so we

858
00:50:04,719 --> 00:50:08,160
Speaker 12: can hover over and get the information. So Finland we

859
00:50:08,239 --> 00:50:14,320
Speaker 12: see twelve point four percent excess mortality, Ireland currently twelve

860
00:50:14,360 --> 00:50:19,520
Speaker 12: point one six, Portugal two just over two, Spain two

861
00:50:19,600 --> 00:50:23,839
Speaker 12: point one, France three point eight, five percent more than

862
00:50:23,840 --> 00:50:29,920
Speaker 12: we would expect. Austria my Austria while thirteen point one

863
00:50:30,040 --> 00:50:34,160
Speaker 12: seven five high than we would expect. But and this

864
00:50:34,280 --> 00:50:35,759
Speaker 12: is really interesting when we look at some of the

865
00:50:35,760 --> 00:50:41,000
Speaker 12: Eastern European countries, some of the poorer European countries. Again coincidentally,

866
00:50:41,040 --> 00:50:43,760
Speaker 12: some of the countries that didn't vaccinate as much for COVID.

867
00:50:43,800 --> 00:50:50,040
Speaker 12: We see Bulgaria eight point seven four percent less than

868
00:50:50,040 --> 00:50:57,440
Speaker 12: we would expect, Romania twelve percent less than we would expect,

869
00:50:58,760 --> 00:51:02,040
Speaker 12: Hungary less than we would expect. We're seeing that in

870
00:51:02,080 --> 00:51:07,720
Speaker 12: these countries' death rates less than we would expect. Now,

871
00:51:08,120 --> 00:51:10,960
Speaker 12: this is what we would expect everywhere. Really, this is

872
00:51:10,960 --> 00:51:14,880
Speaker 12: what we would expect everywhere, because during the pandemic, the

873
00:51:14,920 --> 00:51:17,400
Speaker 12: people that died were the people that were most vulnerable,

874
00:51:18,280 --> 00:51:20,279
Speaker 12: and therefore they died a few years earlier than they

875
00:51:20,280 --> 00:51:21,920
Speaker 12: would have done, and they're not dying now. So we

876
00:51:21,920 --> 00:51:26,080
Speaker 12: would expect lower death rates globally everywhere at the moment,

877
00:51:26,160 --> 00:51:29,560
Speaker 12: but we're seeing the exact opposite of that.

878
00:51:31,320 --> 00:51:36,080
Speaker 1: You know, the media, what have you believe that all

879
00:51:36,120 --> 00:51:41,880
Speaker 1: of what this man said based on Eurostat's own website,

880
00:51:41,880 --> 00:51:46,840
Speaker 1: their official mechanism for tracking vaccine stats. What have you

881
00:51:46,840 --> 00:51:49,520
Speaker 1: believe that this is all a conspiracy theory? In fact,

882
00:51:49,960 --> 00:51:52,760
Speaker 1: if I were on YouTube right now doing this channel,

883
00:51:52,760 --> 00:51:54,719
Speaker 1: but I'm not, I'm on Rumble. We do it exclusively

884
00:51:54,719 --> 00:51:59,239
Speaker 1: here for just this reason, they would likely ban my

885
00:51:59,360 --> 00:52:03,799
Speaker 1: channel forever just by giving you this information. And you know,

886
00:52:04,640 --> 00:52:06,759
Speaker 1: I don't know what conclusion that you draw from this

887
00:52:07,000 --> 00:52:13,719
Speaker 1: but it's certainly interesting the idea that countries like Finland, Ireland, Austria,

888
00:52:14,400 --> 00:52:20,880
Speaker 1: all those nations have been heavily vaccinated, almost universal compliance

889
00:52:21,040 --> 00:52:26,279
Speaker 1: on their vaccine rollouts. Twelve point four for Finland more

890
00:52:26,360 --> 00:52:29,959
Speaker 1: deaths than expected, Ireland twelve point one six more deaths

891
00:52:30,000 --> 00:52:34,360
Speaker 1: than expected, Austria thirteen point one seventy five more deaths

892
00:52:34,640 --> 00:52:39,799
Speaker 1: than expected. Countries that didn't roll out the vaccine or

893
00:52:39,840 --> 00:52:43,160
Speaker 1: have universal mandates on forcing people to get the vaccines,

894
00:52:43,800 --> 00:52:47,080
Speaker 1: they had less deaths than we're expected. And of course

895
00:52:47,080 --> 00:52:49,800
Speaker 1: we all know somebody that got the vaccine and immediately

896
00:52:49,840 --> 00:52:52,560
Speaker 1: got sick. And in fact, there were some scientific consensus

897
00:52:52,600 --> 00:52:55,319
Speaker 1: around the fact that if you got the vaccine, you

898
00:52:55,400 --> 00:52:59,560
Speaker 1: might even be more likely to catch COVID because weaken

899
00:52:59,600 --> 00:53:01,600
Speaker 1: do your mood, your immune system. So I don't know

900
00:53:03,040 --> 00:53:05,640
Speaker 1: about any of this stuff. But as more information comes

901
00:53:05,680 --> 00:53:09,560
Speaker 1: out about this vaccine, the more people are talking about it,

902
00:53:09,600 --> 00:53:12,320
Speaker 1: the better that this country will be because we can't

903
00:53:12,440 --> 00:53:15,560
Speaker 1: allow this stuff to ever happen again. And when we

904
00:53:15,560 --> 00:53:19,920
Speaker 1: talk about holding people accountable, we have to hold the

905
00:53:19,960 --> 00:53:28,520
Speaker 1: media accountable because how many people died unnecessarily because the

906
00:53:28,640 --> 00:53:37,200
Speaker 1: media insulted people for taking hydroxychloric whin or ivermectin. Said

907
00:53:37,239 --> 00:53:42,120
Speaker 1: that they called ivermectin horse de wormer. They said the

908
00:53:42,160 --> 00:53:47,840
Speaker 1: hydroxy chlorican was not effective. They insulted you for trying

909
00:53:47,880 --> 00:53:51,920
Speaker 1: these things. They insulted you for doing everything that you

910
00:53:52,000 --> 00:53:59,120
Speaker 1: can to combat COVID, especially in the early days when

911
00:53:59,120 --> 00:54:01,440
Speaker 1: there wasn't a whole lot known and people should have

912
00:54:01,480 --> 00:54:06,880
Speaker 1: been trying different therapeutics to prevent illness or prevent serious

913
00:54:06,920 --> 00:54:10,799
Speaker 1: illness as the virus rolled on. It just seems like

914
00:54:10,840 --> 00:54:16,200
Speaker 1: the media was all in on promoting these, you know,

915
00:54:16,640 --> 00:54:21,920
Speaker 1: experimental vaccines that ultimately weren't effective, and smearing people for

916
00:54:22,200 --> 00:54:24,719
Speaker 1: just in good faith trying things that, by the way,

917
00:54:25,239 --> 00:54:29,880
Speaker 1: like a drug like iramectin is prescribed, hundreds of millions

918
00:54:29,920 --> 00:54:34,920
Speaker 1: of people all over the world, saved countless lives. The

919
00:54:34,920 --> 00:54:38,400
Speaker 1: person who founded created ivermectin won the Nobel Prize for

920
00:54:38,440 --> 00:54:41,719
Speaker 1: God's sake. But you know, CNN, what have you believe?

921
00:54:41,760 --> 00:54:46,200
Speaker 1: It's horse paced? Remember when Joe Rogan got COVID how

922
00:54:46,239 --> 00:54:50,239
Speaker 1: they relentlessly smeared him. I want you to listen to this,

923
00:54:51,520 --> 00:54:58,360
Speaker 1: to this clip of Joe Rogan talking about utilizing ivermectiv,

924
00:54:58,680 --> 00:55:03,279
Speaker 1: ivermectin and his multidrug approach to combating COVID when he

925
00:55:03,360 --> 00:55:03,640
Speaker 1: caught it.

926
00:55:03,760 --> 00:55:04,319
Speaker 2: Check this out.

927
00:55:05,960 --> 00:55:09,840
Speaker 9: Hello friends. So I got back from the road Saturday

928
00:55:09,920 --> 00:55:13,799
Speaker 9: night feeling very weary. I had a headache and I

929
00:55:13,920 --> 00:55:18,239
Speaker 9: just felt just run down, and just to be cautious,

930
00:55:18,840 --> 00:55:21,640
Speaker 9: I separated from my family, slept in a different part

931
00:55:21,640 --> 00:55:25,400
Speaker 9: of the house, and throughout the night I got fevers

932
00:55:25,560 --> 00:55:27,080
Speaker 9: and sweats.

933
00:55:26,560 --> 00:55:28,239
Speaker 2: And I knew what was going on.

934
00:55:28,800 --> 00:55:32,440
Speaker 9: So I got up in the morning, got tested, and

935
00:55:32,520 --> 00:55:35,320
Speaker 9: turns out I got COVID. So we immediately threw the

936
00:55:35,400 --> 00:55:40,680
Speaker 9: kitchen sink out all kinds of meds, monoclonal antibodies, ivermectin,

937
00:55:41,360 --> 00:55:47,920
Speaker 9: Z pack, predno zone, everything, and I also got an

938
00:55:48,080 --> 00:55:51,200
Speaker 9: nea d drip and a vitamin drip and I did

939
00:55:51,320 --> 00:55:55,560
Speaker 9: that three days in a row. And so here we

940
00:55:55,600 --> 00:55:59,200
Speaker 9: are on Wednesday, and I feel great. I really only

941
00:55:59,200 --> 00:56:02,760
Speaker 9: had one bad day. Sunday sucked, but Monday was better.

942
00:56:03,320 --> 00:56:06,440
Speaker 9: Tuesday felt better than Monday, and today I feel good.

943
00:56:06,600 --> 00:56:08,680
Speaker 9: I actually feel pretty fucking good.

944
00:56:09,920 --> 00:56:10,840
Speaker 2: That's the good news.

945
00:56:10,960 --> 00:56:15,239
Speaker 9: The bad news is we have to move Friday, the

946
00:56:15,280 --> 00:56:19,960
Speaker 9: Friday Show in Nashville. It's going to move to Sunday,

947
00:56:20,120 --> 00:56:23,200
Speaker 9: October twenty fourth, so that would be the new Nashville Date.

948
00:56:23,560 --> 00:56:27,200
Speaker 9: My apologies to everyone, obviously, there's nothing that I can control.

949
00:56:28,560 --> 00:56:30,680
Speaker 2: It is what it is, crazy.

950
00:56:30,400 --> 00:56:35,560
Speaker 9: Times we're living in. But a wonderful heartfelt thank you

951
00:56:35,640 --> 00:56:38,239
Speaker 9: to modern medicine for pulling me out of this so

952
00:56:38,360 --> 00:56:41,719
Speaker 9: quickly and easily, and my love to all of you.

953
00:56:42,200 --> 00:56:43,200
Speaker 2: Thank you bye.

954
00:56:44,960 --> 00:56:47,879
Speaker 1: I mean, Joe Rogan, I mean that's a class that's

955
00:56:47,880 --> 00:56:53,160
Speaker 1: a classy video. And look Monta colonial antibodies, ivermectin, z

956
00:56:53,360 --> 00:56:58,759
Speaker 1: pak erythromycin, pregnazone, nad drip, vitamin drip. This approach closely

957
00:56:58,840 --> 00:57:03,319
Speaker 1: aligns with multi drug early treatment protocols advocated by doctor

958
00:57:03,360 --> 00:57:05,880
Speaker 1: Peter McCulloch, who, by the way, the media said was

959
00:57:05,880 --> 00:57:08,640
Speaker 1: a whack job conspiracy theorist you should largely be disregarded

960
00:57:08,640 --> 00:57:12,239
Speaker 1: in Doctor Pierre Corey and really a lot of other

961
00:57:12,280 --> 00:57:15,080
Speaker 1: medical professionals said that this is this is the right

962
00:57:15,160 --> 00:57:19,520
Speaker 1: way to approach this. So not only did the media

963
00:57:19,600 --> 00:57:23,800
Speaker 1: smear these doctors for and again these were esteemed doctors

964
00:57:23,840 --> 00:57:27,960
Speaker 1: who went to medical school. Not only did they smear

965
00:57:28,040 --> 00:57:31,320
Speaker 1: these people, but they also smeared Joe Rogan for simply

966
00:57:32,800 --> 00:57:36,960
Speaker 1: telling other people what he took and how it may

967
00:57:37,000 --> 00:57:41,160
Speaker 1: have helped him. Look at what CNN did to Joe

968
00:57:41,280 --> 00:57:43,600
Speaker 1: Rogan after he posted that video.

969
00:57:43,640 --> 00:57:47,480
Speaker 9: Let's roll the tape and turns out I got COVID.

970
00:57:47,680 --> 00:57:50,240
Speaker 9: So we immediately threw the kitchen sink out, all kinds

971
00:57:50,280 --> 00:57:59,720
Speaker 9: of meds, monoclonal antibodies, ivermectins, z pack, prednizone, everything.

972
00:58:01,080 --> 00:58:05,960
Speaker 1: They altered the video, They turned Joe Roganto a YELLOWISHU,

973
00:58:06,560 --> 00:58:10,720
Speaker 1: and they characterized ivermectin as horsety wormer and their presentation

974
00:58:10,800 --> 00:58:11,200
Speaker 1: of the video.

975
00:58:11,240 --> 00:58:11,880
Speaker 2: I mean no joke.

976
00:58:12,200 --> 00:58:14,520
Speaker 1: We could probably find you as super cut or something

977
00:58:14,560 --> 00:58:17,240
Speaker 1: that we play tomorrow. Of all of these media hacks

978
00:58:17,600 --> 00:58:19,760
Speaker 1: calling ivermectin horsety warmer, and how.

979
00:58:19,640 --> 00:58:23,280
Speaker 2: Many lives could have been saved if they didn't do that.

980
00:58:23,880 --> 00:58:26,760
Speaker 1: Frankly, I'm wondering why there's not been a class action

981
00:58:26,840 --> 00:58:28,640
Speaker 1: lawsuit after you go, you know, someone who lost a

982
00:58:28,720 --> 00:58:31,080
Speaker 1: loved one, maybe because that could have been helped by

983
00:58:31,080 --> 00:58:35,520
Speaker 1: one of these early interventions. How are people not suing

984
00:58:35,520 --> 00:58:41,280
Speaker 1: the media for this purposeful disinformation and slander against other

985
00:58:41,400 --> 00:58:46,840
Speaker 1: doctors who were advocating for different approaches than just you know,

986
00:58:46,920 --> 00:58:50,520
Speaker 1: big pharma experimental vaccines that were buying large mandated and

987
00:58:50,560 --> 00:58:53,919
Speaker 1: attempted to force on the American people. Some Americans lost

988
00:58:53,920 --> 00:58:57,320
Speaker 1: their jobs, some medical professionals and even pilots. They lost

989
00:58:57,320 --> 00:58:59,640
Speaker 1: their jobs and they haven't gotten them back yet. So

990
00:59:02,400 --> 00:59:08,160
Speaker 1: we can never allow this happened again. Just we can

991
00:59:08,200 --> 00:59:11,200
Speaker 1: never allow it to happen again. You know, up next,

992
00:59:11,800 --> 00:59:15,760
Speaker 1: Disney is in full collapse. Their execs are in panic mode.

993
00:59:15,880 --> 00:59:17,600
Speaker 1: But before we go there, I want to I want

994
00:59:17,600 --> 00:59:19,360
Speaker 1: to give it a shout out to one of my sponsors,

995
00:59:20,000 --> 00:59:23,840
Speaker 1: Cabot Guns. They're a Western Pennsylvania based company. I'm from

996
00:59:23,880 --> 00:59:26,560
Speaker 1: Western Pennsylvania, from the Pittsburgh area, born and raised, fourth

997
00:59:26,640 --> 00:59:33,320
Speaker 1: generation Cabot. They are huge Second Amendment supporters. I mean,

998
00:59:33,320 --> 00:59:35,200
Speaker 1: obviously they're a gun company, so I think it works

999
00:59:35,200 --> 00:59:37,400
Speaker 1: for them. But I can't tell you what it means

1000
00:59:37,400 --> 00:59:39,000
Speaker 1: to me to have a company that believes in the

1001
00:59:39,000 --> 00:59:43,080
Speaker 1: Second Amendment, that fights on the regular for our rights

1002
00:59:43,120 --> 00:59:46,720
Speaker 1: and constitutional rights of the American people, especially at a

1003
00:59:46,760 --> 00:59:50,000
Speaker 1: time where the radical left is on the move and

1004
00:59:50,040 --> 00:59:53,160
Speaker 1: they're looking to remove our rights any opportunity that they get.

1005
00:59:53,800 --> 00:59:56,040
Speaker 1: But Cabot Guns, you got to go check them out.

1006
00:59:56,080 --> 00:59:59,840
Speaker 1: Go to Cabot Guns, go to their website. They make

1007
01:00:00,200 --> 01:00:05,040
Speaker 1: the best pistols in the world, nineteen eleven style forty

1008
01:00:05,040 --> 01:00:07,560
Speaker 1: five caliber. I mean they make some in in nine

1009
01:00:07,600 --> 01:00:10,160
Speaker 1: miler as well, but a nineteen eleven style.

1010
01:00:10,640 --> 01:00:14,560
Speaker 2: They are the Rolls Royce of pistols.

1011
01:00:14,760 --> 01:00:18,240
Speaker 1: I mean they and they are one hundred percent every part,

1012
01:00:18,320 --> 01:00:22,000
Speaker 1: every component part made right here in this country. And

1013
01:00:22,040 --> 01:00:24,919
Speaker 1: I'm telling you, I shoot all the time, and these

1014
01:00:24,960 --> 01:00:29,480
Speaker 1: guns are by far the best manufactured gun on the planet.

1015
01:00:29,680 --> 01:00:32,160
Speaker 1: I mean, they're just top of the top of the top.

1016
01:00:32,200 --> 01:00:34,160
Speaker 1: And they even have a new they even have a

1017
01:00:34,160 --> 01:00:36,760
Speaker 1: new tactical uh pistol that has come out called the

1018
01:00:36,800 --> 01:00:41,520
Speaker 1: Apocalypse and it's just badass. You gotta got gotta go

1019
01:00:41,600 --> 01:00:44,560
Speaker 1: check it out. Cabot Guns is a great company. H

1020
01:00:44,720 --> 01:00:47,640
Speaker 1: check them out, uh so and I. And by the way,

1021
01:00:47,880 --> 01:00:49,880
Speaker 1: they're a sponsor of the show. None of this show

1022
01:00:50,080 --> 01:00:53,960
Speaker 1: wouldn't it would not be possible to live stream the

1023
01:00:54,000 --> 01:00:56,160
Speaker 1: show and tell the truth that we're telling to you

1024
01:00:56,240 --> 01:00:59,560
Speaker 1: the American people without people like Cabots. So so thanks

1025
01:00:59,560 --> 01:01:02,640
Speaker 1: to them for always being there for me. Disney, Let's

1026
01:01:02,640 --> 01:01:05,800
Speaker 1: get back to Disney here for a second. Disney loses

1027
01:01:06,040 --> 01:01:10,320
Speaker 1: five hundred and twelve million dollars in Q three streaming

1028
01:01:10,400 --> 01:01:16,120
Speaker 1: disaster following a subscriber exodus. Now that shouldn't surprise anybody.

1029
01:01:17,760 --> 01:01:20,840
Speaker 1: Disney has been going after our children for a long time.

1030
01:01:20,880 --> 01:01:23,560
Speaker 1: They've gotten all sorts of bad press, and they brought

1031
01:01:23,560 --> 01:01:26,000
Speaker 1: in Eiger to try to write the ship. But this

1032
01:01:26,040 --> 01:01:28,080
Speaker 1: trend began in the last quarter of the fiscal year

1033
01:01:28,120 --> 01:01:31,160
Speaker 1: of twenty twenty two and has shown no signs of reversing.

1034
01:01:31,160 --> 01:01:33,840
Speaker 1: This this piece by the Post Millennial. On Wednesday, Disney

1035
01:01:33,840 --> 01:01:36,360
Speaker 1: released its results for the third quarter of the fiscal year,

1036
01:01:36,640 --> 01:01:40,640
Speaker 1: revealing revealing that its streaming division has lost hundreds of

1037
01:01:40,720 --> 01:01:46,120
Speaker 1: millions of dollars. I mean, absolutely devastating time for Disney,

1038
01:01:47,680 --> 01:01:50,720
Speaker 1: and I have to say it doesn't surprise me. And

1039
01:01:50,760 --> 01:01:53,400
Speaker 1: I say this to somebody who you know. I grew

1040
01:01:53,480 --> 01:01:57,200
Speaker 1: up loving Disney movies. My wife, Melanie loves Disney movies,

1041
01:01:57,240 --> 01:02:01,240
Speaker 1: our kids love Disney movies. But the culture at that

1042
01:02:01,360 --> 01:02:07,640
Speaker 1: company has clearly changed, and it seems like their executives

1043
01:02:08,280 --> 01:02:11,680
Speaker 1: are in the business now of not actually growing the

1044
01:02:11,720 --> 01:02:16,400
Speaker 1: business in the brand, but trying hard to destroy the

1045
01:02:16,440 --> 01:02:20,040
Speaker 1: business and lose as much money as humanly possible. For example,

1046
01:02:20,160 --> 01:02:24,200
Speaker 1: if you bought Disney stock in twenty fourteen, the stock

1047
01:02:24,280 --> 01:02:28,280
Speaker 1: today is worth the exact same sum of money almost

1048
01:02:28,320 --> 01:02:32,760
Speaker 1: ten years later. And I think what's happening here is

1049
01:02:34,040 --> 01:02:39,000
Speaker 1: the people that work at Disney, in the actors and

1050
01:02:39,040 --> 01:02:42,919
Speaker 1: actresses that they cast in these roles, they fundamentally don't

1051
01:02:43,000 --> 01:02:48,280
Speaker 1: understand what the company is all about. And they're radical, woke,

1052
01:02:48,640 --> 01:02:53,000
Speaker 1: crazy people that just have a general disdain for everything

1053
01:02:53,040 --> 01:02:57,120
Speaker 1: that Disney was, you know, for all of the success

1054
01:02:57,160 --> 01:02:58,040
Speaker 1: that Disney built.

1055
01:02:58,120 --> 01:03:00,680
Speaker 2: Like these people, these these these people who work.

1056
01:03:00,560 --> 01:03:03,360
Speaker 1: At Disney, these actors and actresses who were cast in

1057
01:03:03,400 --> 01:03:05,840
Speaker 1: all these new roles, these people are standing on the

1058
01:03:05,880 --> 01:03:08,840
Speaker 1: shoulders of giants in that company. Walt Disney risked everything.

1059
01:03:09,360 --> 01:03:12,280
Speaker 1: I mean, snow White in the Seven Doors was Disney's

1060
01:03:12,280 --> 01:03:14,520
Speaker 1: first movie. It was a huge risk for them to do.

1061
01:03:14,800 --> 01:03:18,360
Speaker 1: I think halfway through the movie Walt Disney lost funding,

1062
01:03:18,480 --> 01:03:20,520
Speaker 1: didn't have enough money to get it done, but convinced

1063
01:03:20,560 --> 01:03:22,560
Speaker 1: investors to do it. I think it was one of

1064
01:03:22,560 --> 01:03:25,720
Speaker 1: the very first animated if not the first animated film

1065
01:03:26,080 --> 01:03:29,520
Speaker 1: ever produced. People buy and large condemned Walt Disney for it.

1066
01:03:29,520 --> 01:03:32,280
Speaker 1: Thought it was going to be a joke. I think

1067
01:03:32,640 --> 01:03:37,080
Speaker 1: when you adjust for inflation, snow White is one of

1068
01:03:37,080 --> 01:03:39,960
Speaker 1: the most successful movies of all time. Now, that was

1069
01:03:40,040 --> 01:03:45,720
Speaker 1: Disney's very first movie. Okay, but I think when you

1070
01:03:45,760 --> 01:03:48,800
Speaker 1: adjust for inflation, snow White in the Seven Doors the

1071
01:03:48,880 --> 01:03:53,840
Speaker 1: original earned something near one point seven billion dollars. And

1072
01:03:53,920 --> 01:03:57,360
Speaker 1: it was because of snow White that Disney was able

1073
01:03:57,400 --> 01:04:01,240
Speaker 1: to grow into the Family Friends company that it was

1074
01:04:01,400 --> 01:04:06,360
Speaker 1: for damn near fifty years. But in just the last

1075
01:04:06,600 --> 01:04:12,280
Speaker 1: five years, these radical, woke, crazy people, these mouth breathers,

1076
01:04:12,480 --> 01:04:18,120
Speaker 1: are seen hell bent on destroying it. I mean, use

1077
01:04:18,200 --> 01:04:21,800
Speaker 1: this new actress. I think her name is Rachel Ziggler.

1078
01:04:21,800 --> 01:04:23,160
Speaker 1: I don't really know how to pronounce her name. How

1079
01:04:23,160 --> 01:04:25,360
Speaker 1: are the hell you pronounce her name? She was out

1080
01:04:25,400 --> 01:04:27,520
Speaker 1: there doing media and press for the new snow White movie,

1081
01:04:27,520 --> 01:04:29,680
Speaker 1: because that's what these movie companies do now. They remake

1082
01:04:29,680 --> 01:04:31,440
Speaker 1: all the old movies because they don't have any new

1083
01:04:31,480 --> 01:04:33,440
Speaker 1: ideas of their own, so they just want to regurgitate

1084
01:04:33,480 --> 01:04:36,440
Speaker 1: old crap that already has a pre existing audience built

1085
01:04:36,480 --> 01:04:39,680
Speaker 1: in for people, because they know that people who maybe

1086
01:04:39,720 --> 01:04:42,000
Speaker 1: saw snow White, or like snow White, or grew up

1087
01:04:42,000 --> 01:04:43,520
Speaker 1: with snow White are gonna return to the movie to.

1088
01:04:43,480 --> 01:04:46,760
Speaker 2: See the remake because it's snow White. Right. Well, this

1089
01:04:46,920 --> 01:04:50,480
Speaker 2: actress that's been out there. Just watch.

1090
01:04:50,560 --> 01:04:53,920
Speaker 1: First of all, let's just watch this video of how

1091
01:04:54,000 --> 01:04:57,320
Speaker 1: this of this young actress actress talks about snow White,

1092
01:04:57,400 --> 01:04:58,400
Speaker 1: and then I'll give you my thoughts.

1093
01:04:58,480 --> 01:04:59,440
Speaker 2: Let's roll the tape.

1094
01:04:59,680 --> 01:05:02,000
Speaker 5: I'm I mean, you know, the original cartoon came out

1095
01:05:02,000 --> 01:05:06,200
Speaker 5: in nineteen thirty seven and very evidently so there is

1096
01:05:06,240 --> 01:05:10,040
Speaker 5: a big focus on her love story with a guy

1097
01:05:10,040 --> 01:05:11,200
Speaker 5: who literally stalks her.

1098
01:05:12,320 --> 01:05:13,360
Speaker 2: Weird, weird.

1099
01:05:14,040 --> 01:05:15,440
Speaker 5: So we didn't do that this time.

1100
01:05:16,120 --> 01:05:18,280
Speaker 2: So no prince or a different kind of prince.

1101
01:05:18,360 --> 01:05:20,760
Speaker 5: We have a different approach to what I'm sure a

1102
01:05:20,760 --> 01:05:23,200
Speaker 5: lot of people will assume is a love story just

1103
01:05:23,240 --> 01:05:25,720
Speaker 5: because like we cast a guy in the movie Andrew

1104
01:05:25,720 --> 01:05:30,000
Speaker 5: burn Up, great dude. Yeah, it's one of those things

1105
01:05:30,040 --> 01:05:31,920
Speaker 5: that I think everyone's gonna have their assumptions about what

1106
01:05:31,920 --> 01:05:34,680
Speaker 5: it's actually going to be. But it's really not about

1107
01:05:34,720 --> 01:05:36,840
Speaker 5: the love story at all, which is really really wonderful,

1108
01:05:36,880 --> 01:05:38,400
Speaker 5: and whether or not she finds love along the way

1109
01:05:38,480 --> 01:05:42,080
Speaker 5: is anybody's guess. Until twenty twenty four, all of andrew

1110
01:05:42,120 --> 01:05:44,720
Speaker 5: sines could get cut. Who knows, it's Hollywood.

1111
01:05:44,240 --> 01:05:48,800
Speaker 1: Baby, great dude, Oh he's a great dude, hey, but

1112
01:05:48,920 --> 01:05:51,720
Speaker 1: his scenes could get completely cut. It's Hollywood baby, now,

1113
01:05:53,200 --> 01:05:56,600
Speaker 1: so let me let me just say this her. What

1114
01:05:56,680 --> 01:05:59,160
Speaker 1: she said was that the Prince in snow White. Now,

1115
01:05:59,200 --> 01:06:01,680
Speaker 1: I again, I understand how maybe crazy it is as

1116
01:06:01,680 --> 01:06:05,840
Speaker 1: a wounded combat veteran talking about Disney movies. Look, I

1117
01:06:05,840 --> 01:06:09,520
Speaker 1: got five kids, That's how it is. I know Disney movies.

1118
01:06:09,880 --> 01:06:12,600
Speaker 1: They don't like Disney movies, so I could talk Disney.

1119
01:06:12,880 --> 01:06:15,720
Speaker 1: But she's out there talking about snow White and the

1120
01:06:15,760 --> 01:06:19,280
Speaker 1: prince that stalked her. And you all remember watching snow White.

1121
01:06:19,320 --> 01:06:22,600
Speaker 1: I sure as hell do. The Prince doesn't even meet

1122
01:06:22,680 --> 01:06:26,120
Speaker 1: snow White until after she's passed away, and he stumbles

1123
01:06:26,200 --> 01:06:29,840
Speaker 1: upon the Dwarves having a funeral for her, I think,

1124
01:06:30,520 --> 01:06:34,080
Speaker 1: and he's so struck by her beauty that he kisses

1125
01:06:34,120 --> 01:06:37,400
Speaker 1: her goodbye, and his kiss is what brings her back

1126
01:06:37,440 --> 01:06:39,680
Speaker 1: to life, and then they fall in love and they

1127
01:06:39,720 --> 01:06:46,600
Speaker 1: live happily ever after. But to this Hollywood actress, she

1128
01:06:46,840 --> 01:06:50,680
Speaker 1: thinks that that's somehow a negative. You know, a man

1129
01:06:50,840 --> 01:06:54,520
Speaker 1: pursuing a woman, wanting to help a woman, wanting to

1130
01:06:54,520 --> 01:06:59,000
Speaker 1: be chivalrous, wanting to be there, wanting to help save her,

1131
01:06:59,680 --> 01:07:02,680
Speaker 1: is some how a negative thing, and that who knows.

1132
01:07:02,480 --> 01:07:03,960
Speaker 2: Maybe maybe the good dude.

1133
01:07:04,000 --> 01:07:05,840
Speaker 1: The guy that the cast is the Prince, maybe he'll

1134
01:07:05,880 --> 01:07:08,720
Speaker 1: be cut out of the movie entirely. I mean, it's

1135
01:07:08,760 --> 01:07:14,080
Speaker 1: just it seems like the people that they're casting in

1136
01:07:14,120 --> 01:07:17,120
Speaker 1: these movies just don't understand what Disney is all about.

1137
01:07:17,240 --> 01:07:19,680
Speaker 2: They don't understate. They absolutely hate.

1138
01:07:19,440 --> 01:07:22,600
Speaker 1: The company, the radical leftist whack jobs that don't even

1139
01:07:22,680 --> 01:07:25,280
Speaker 1: understand the significance of snow White, and they're doing everything

1140
01:07:25,320 --> 01:07:29,000
Speaker 1: that they can to unravel the legacy of Disney. And

1141
01:07:29,040 --> 01:07:31,520
Speaker 1: I think this is why. I mean I used to

1142
01:07:31,520 --> 01:07:34,640
Speaker 1: be I used to be a huge Disney fan. I mean,

1143
01:07:35,080 --> 01:07:37,200
Speaker 1: our kids used to go to Disney all the time.

1144
01:07:37,600 --> 01:07:39,240
Speaker 1: I don't think we can ever bring him back there

1145
01:07:39,640 --> 01:07:42,280
Speaker 1: because our family's gonna choose to spend our dollars with

1146
01:07:42,400 --> 01:07:46,160
Speaker 1: companies who like us, who don't despise us, who share

1147
01:07:46,240 --> 01:07:49,560
Speaker 1: our values. And if you go to Disney and you're

1148
01:07:49,600 --> 01:07:52,760
Speaker 1: spending money at that park, I mean how you're spending

1149
01:07:52,800 --> 01:07:57,080
Speaker 1: money and helping people that want to groom your children

1150
01:07:58,200 --> 01:08:05,520
Speaker 1: and buying into this crazy LGBTQ whack job element op

1151
01:08:06,520 --> 01:08:10,880
Speaker 1: agenda which is all about and I have look live

1152
01:08:10,920 --> 01:08:13,160
Speaker 1: your life the way that you want. I have no

1153
01:08:13,280 --> 01:08:16,599
Speaker 1: issues with that, but when you start forcing this stuff

1154
01:08:16,600 --> 01:08:19,320
Speaker 1: on my kids. I got an issue with it when

1155
01:08:19,320 --> 01:08:24,479
Speaker 1: you start sexualizing children and showing them pornography in school,

1156
01:08:24,520 --> 01:08:25,480
Speaker 1: because that's.

1157
01:08:25,240 --> 01:08:25,840
Speaker 2: What it is.

1158
01:08:26,400 --> 01:08:30,759
Speaker 1: I got a real problem with that, and using Disney

1159
01:08:30,800 --> 01:08:36,120
Speaker 1: movies to do it. Hell No, Bob Iger said that

1160
01:08:36,920 --> 01:08:40,960
Speaker 1: the notion that Disney is in any way sexualizing children,

1161
01:08:41,120 --> 01:08:43,040
Speaker 1: quite frankly, is preposterous.

1162
01:08:43,080 --> 01:08:45,720
Speaker 2: Well, uh, we'll see about that.

1163
01:08:45,800 --> 01:08:48,200
Speaker 1: Let's let's let's play that tape and see if what

1164
01:08:48,240 --> 01:08:48,960
Speaker 1: he says is true.

1165
01:08:49,400 --> 01:08:52,559
Speaker 13: The notion that Disney is in any way sexualizing children,

1166
01:08:52,840 --> 01:08:56,720
Speaker 13: quite frankly is preposterous and inaccurate.

1167
01:08:57,600 --> 01:09:01,840
Speaker 3: Hello, and welcome to the Disney This is me, Pride

1168
01:09:01,920 --> 01:09:03,880
Speaker 3: Celebration Spectacular.

1169
01:09:03,360 --> 01:09:06,519
Speaker 13: Texted me this morning. You know, gen Z is thirty

1170
01:09:06,520 --> 01:09:09,240
Speaker 13: to forty percent queer than the other generation's mom, So

1171
01:09:09,320 --> 01:09:10,439
Speaker 13: Disney better get with it.

1172
01:09:10,600 --> 01:09:14,760
Speaker 3: Our leadership over there has been so welcoming to like

1173
01:09:15,280 --> 01:09:17,559
Speaker 3: my like not at all secret gay agenda. They've been

1174
01:09:17,600 --> 01:09:20,439
Speaker 3: really open to exploring queer stories. I'm on the production

1175
01:09:20,520 --> 01:09:23,040
Speaker 3: side and so kind of the only way to have

1176
01:09:23,120 --> 01:09:29,160
Speaker 3: these like canonical trans characters, canonical asexual characters, canonical bisexual characters,

1177
01:09:29,680 --> 01:09:32,200
Speaker 3: is to give them stories where they can like be

1178
01:09:32,360 --> 01:09:36,320
Speaker 3: their whole selves. I identify as like a bi romantic, asexual.

1179
01:09:36,680 --> 01:09:38,200
Speaker 2: I want to like add the.

1180
01:09:39,200 --> 01:09:41,599
Speaker 1: Pockets of the LGBTQ community that you don't see.

1181
01:09:41,640 --> 01:09:42,920
Speaker 12: I was like, I want to get.

1182
01:09:42,760 --> 01:09:44,920
Speaker 10: Like day advanced that so we no longer say ladies

1183
01:09:44,960 --> 01:09:48,040
Speaker 10: and gentlemen, boys and girls, it's hello everyone, or hello friends.

1184
01:09:48,120 --> 01:09:51,639
Speaker 13: We were targeting gen Z and millennials. We were targeting

1185
01:09:51,640 --> 01:09:53,960
Speaker 13: a younger and all.

1186
01:09:53,880 --> 01:09:56,800
Speaker 3: This contents going to kids who don't know any of this,

1187
01:09:56,960 --> 01:09:59,840
Speaker 3: and even if they're in a household like Keith that

1188
01:10:00,160 --> 01:10:04,560
Speaker 3: have supportive parents, they're still getting all of this information

1189
01:10:04,920 --> 01:10:06,960
Speaker 3: from media of what is normal.

1190
01:10:13,840 --> 01:10:14,040
Speaker 2: Now.

1191
01:10:14,080 --> 01:10:17,400
Speaker 1: That was something that the Destanta's campaign team put out

1192
01:10:17,479 --> 01:10:22,000
Speaker 1: pushing back against what Iiger said, and clearly what he

1193
01:10:22,120 --> 01:10:28,200
Speaker 1: said is is not true. What these people are doing,

1194
01:10:28,200 --> 01:10:31,960
Speaker 1: what these producers, what these writers are doing is weaving

1195
01:10:32,000 --> 01:10:37,639
Speaker 1: this radical crap into stories and pushing it on children

1196
01:10:38,200 --> 01:10:41,920
Speaker 1: in an attempt to normalize it. Now, again, live your

1197
01:10:41,960 --> 01:10:44,280
Speaker 1: life the way that you want. If you're a grown adult,

1198
01:10:44,400 --> 01:10:46,360
Speaker 1: you do what you want to do.

1199
01:10:47,400 --> 01:10:52,720
Speaker 2: I am not opposed to that stuff like this is America,

1200
01:10:52,960 --> 01:10:54,280
Speaker 2: but you start.

1201
01:10:54,040 --> 01:10:58,280
Speaker 1: Forcing this stuff on my children and the children of

1202
01:10:58,320 --> 01:11:00,600
Speaker 1: this country well, there's a line in sand and you

1203
01:11:00,720 --> 01:11:02,760
Speaker 1: just crossed it, and there's no way in hell I

1204
01:11:02,800 --> 01:11:07,519
Speaker 1: support that. And this leads into the to the final segment,

1205
01:11:07,520 --> 01:11:11,920
Speaker 1: into the home stretch in that I personally believe and

1206
01:11:11,960 --> 01:11:14,679
Speaker 1: I think this plays out in everything that we're seeing,

1207
01:11:15,200 --> 01:11:18,160
Speaker 1: the conservatives have the high ground in the culture war

1208
01:11:18,240 --> 01:11:19,920
Speaker 1: right now. You look at all the money that Disney lost,

1209
01:11:19,920 --> 01:11:21,960
Speaker 1: we just talked about that. You look at all the

1210
01:11:22,439 --> 01:11:26,080
Speaker 1: woke craziness that's woven into those movies. I think the

1211
01:11:26,240 --> 01:11:29,000
Speaker 1: vast majority of this country who just want to watch

1212
01:11:29,000 --> 01:11:32,360
Speaker 1: a good movie, who just want to see a movie

1213
01:11:32,360 --> 01:11:35,240
Speaker 1: that's appropriate for kids, they see these stories and they

1214
01:11:35,240 --> 01:11:37,880
Speaker 1: shake their head and they're desperate for something else, something

1215
01:11:37,920 --> 01:11:41,320
Speaker 1: that shares their values. You look at like bud Light

1216
01:11:41,360 --> 01:11:44,160
Speaker 1: and Anheuser Bush shit, Like, look at this. Anheuser Bush

1217
01:11:44,200 --> 01:11:48,240
Speaker 1: sales plummet in US amid bud Light boycott. The company's

1218
01:11:48,320 --> 01:11:51,439
Speaker 1: US sales fell by more than ten percent over the

1219
01:11:51,479 --> 01:11:54,559
Speaker 1: three months over the three months compared to the same

1220
01:11:54,720 --> 01:11:58,040
Speaker 1: period last year, according to the company's earnings report released

1221
01:11:58,040 --> 01:12:02,599
Speaker 1: on Tuesday. Meanwhile, Anheuser Busch's core profit in the US

1222
01:12:02,640 --> 01:12:04,280
Speaker 1: fell by more than twenty eight percent.

1223
01:12:05,080 --> 01:12:06,840
Speaker 2: That is staggering.

1224
01:12:07,640 --> 01:12:11,240
Speaker 1: Consider then also the Sound of Freedom and its success

1225
01:12:11,280 --> 01:12:13,120
Speaker 1: earning over one hundred and fifty five million at.

1226
01:12:13,000 --> 01:12:15,760
Speaker 2: The box office, talks about child trafficking.

1227
01:12:15,479 --> 01:12:19,439
Speaker 1: Which is a horrific tragedy that we need to put

1228
01:12:19,439 --> 01:12:24,320
Speaker 1: a stop to in this country. Yesterday, America is awakened

1229
01:12:24,479 --> 01:12:26,800
Speaker 1: by that movie. One hundred and fifty five million dollars

1230
01:12:26,840 --> 01:12:30,519
Speaker 1: at the box office. Built It beat films like Indiana

1231
01:12:30,600 --> 01:12:32,880
Speaker 1: Jones and Mission Impossible.

1232
01:12:33,000 --> 01:12:34,400
Speaker 2: It's an absolute juggernaut.

1233
01:12:34,439 --> 01:12:39,200
Speaker 1: Why because I think the American people support what that

1234
01:12:39,240 --> 01:12:42,080
Speaker 1: movie is about. Or how about Jason Aldean try that

1235
01:12:42,120 --> 01:12:47,439
Speaker 1: in a small town. The left universally condemned that song.

1236
01:12:47,560 --> 01:12:53,240
Speaker 1: They called Jason unsurprisingly, they called Jason Alden a racist

1237
01:12:53,479 --> 01:12:56,639
Speaker 1: and a white supremacist. Oh why because he didn't want

1238
01:12:57,160 --> 01:13:01,080
Speaker 1: Antifa riots, Black Lives Matter riots and his He said

1239
01:13:01,120 --> 01:13:03,120
Speaker 1: that if you come here and you do that, people

1240
01:13:03,200 --> 01:13:04,679
Speaker 1: in the town won't like it very much, and they'll

1241
01:13:04,680 --> 01:13:05,360
Speaker 1: defend themselves.

1242
01:13:05,400 --> 01:13:06,439
Speaker 2: You're damn right, we will.

1243
01:13:07,320 --> 01:13:12,400
Speaker 1: I mean again, that song skyrocketed to number one because

1244
01:13:12,479 --> 01:13:17,800
Speaker 1: Americans are tired of this woke bs being forced in

1245
01:13:17,920 --> 01:13:21,880
Speaker 1: every aspect of their life. Every time you see, every

1246
01:13:21,880 --> 01:13:23,400
Speaker 1: time you turn on the TV, it's like you're being

1247
01:13:23,479 --> 01:13:26,800
Speaker 1: drowned with this woke propaganda. I think Americans are sick

1248
01:13:26,840 --> 01:13:31,880
Speaker 1: of it. And the latest example of conservatives winning the culture.

1249
01:13:31,560 --> 01:13:32,680
Speaker 2: War are this.

1250
01:13:32,920 --> 01:13:35,240
Speaker 1: This guy writes this song. It's one of the best

1251
01:13:35,240 --> 01:13:37,519
Speaker 1: stories on Twitter that I've ever seen. His name is

1252
01:13:37,560 --> 01:13:41,400
Speaker 1: Oliver Anthony, and he writes this song. He had a

1253
01:13:41,400 --> 01:13:45,080
Speaker 1: couple of songs out there, pro America, pro working class,

1254
01:13:45,920 --> 01:13:49,600
Speaker 1: anti state of the country as it is today.

1255
01:13:50,040 --> 01:13:53,200
Speaker 2: He writes this song called rich Men of North Richmond.

1256
01:13:53,520 --> 01:13:57,519
Speaker 1: And not only does I mean I've heard the song,

1257
01:13:57,560 --> 01:13:58,720
Speaker 1: I mean a couple things on it.

1258
01:13:59,280 --> 01:14:03,160
Speaker 2: You obviously speaks to you know where I am.

1259
01:14:03,040 --> 01:14:07,719
Speaker 1: Politically, and it speaks to, I think accurately, the state

1260
01:14:07,760 --> 01:14:10,600
Speaker 1: of the country. And it speaks to the plight of

1261
01:14:10,640 --> 01:14:14,479
Speaker 1: the American workingman and women and our middle class, and

1262
01:14:14,520 --> 01:14:18,639
Speaker 1: the idea right now that our dollar is worthless, even

1263
01:14:18,680 --> 01:14:21,040
Speaker 1: though we're working hard for each dollar that we make.

1264
01:14:21,479 --> 01:14:23,920
Speaker 1: That you know, you go to the grocery store and

1265
01:14:24,000 --> 01:14:26,559
Speaker 1: you spend one hundred bucks and you look in your cart,

1266
01:14:26,960 --> 01:14:30,960
Speaker 1: you can physically see that it buys less food than

1267
01:14:30,960 --> 01:14:34,320
Speaker 1: it did go back when Donald Trump was president, That's

1268
01:14:34,400 --> 01:14:37,800
Speaker 1: for sure. And so so not only does it speak

1269
01:14:37,800 --> 01:14:41,640
Speaker 1: to all these really really important issues. It's also just

1270
01:14:41,680 --> 01:14:44,680
Speaker 1: a damn good song. And so two things are going

1271
01:14:44,720 --> 01:14:46,320
Speaker 1: to happen, folks, And I want you to pay attention

1272
01:14:46,360 --> 01:14:51,880
Speaker 1: to this because the left wing media and actually just

1273
01:14:51,920 --> 01:14:54,439
Speaker 1: the media in general, is already coming out to smear

1274
01:14:54,520 --> 01:14:57,960
Speaker 1: this this Oliver Anthony, by the way, just like it's

1275
01:14:58,080 --> 01:15:01,519
Speaker 1: like a star overnight, you know, like a real life

1276
01:15:01,800 --> 01:15:06,320
Speaker 1: a star is born, you know. Humble, self effacing kid

1277
01:15:06,680 --> 01:15:10,559
Speaker 1: obviously had some struggles reads the Bible on the daily.

1278
01:15:10,840 --> 01:15:13,759
Speaker 1: In fact, like at his first public his first public concert,

1279
01:15:13,840 --> 01:15:16,360
Speaker 1: before he kicked off any of the songs read the Bible.

1280
01:15:17,640 --> 01:15:20,920
Speaker 1: The media is going to try to They're gonna try

1281
01:15:20,920 --> 01:15:23,000
Speaker 1: to do two things with this kid, because he's brand

1282
01:15:23,040 --> 01:15:24,720
Speaker 1: new in the spotlight and this is what they do.

1283
01:15:24,800 --> 01:15:28,120
Speaker 1: So just just like bookmark this, they're going to try

1284
01:15:28,160 --> 01:15:31,599
Speaker 1: to force this kid into betraying his values and therefore

1285
01:15:31,640 --> 01:15:35,839
Speaker 1: betraying his audience. Or they're gonna dig up stuff in

1286
01:15:35,880 --> 01:15:38,479
Speaker 1: in his past. If they can't find anything to slander

1287
01:15:38,560 --> 01:15:41,000
Speaker 1: him with, they'll make it up. But they're gonna do

1288
01:15:41,040 --> 01:15:44,120
Speaker 1: everything that they can to try to destroy this kid.

1289
01:15:44,560 --> 01:15:46,760
Speaker 1: So everybody that's watching this live stream is going to

1290
01:15:46,800 --> 01:15:49,559
Speaker 1: listen to this pray for Oliver Anthony because the left

1291
01:15:49,560 --> 01:15:52,479
Speaker 1: we meet, they're already starting to come after him. TMZ

1292
01:15:52,840 --> 01:15:57,360
Speaker 1: reports right wingers rally around new song by unknown artists

1293
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Speaker 1: after Jason Alden right wingers. Okay, the New York Daily

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Speaker 1: News rich Men of Northmen, a rich rich men rich

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Speaker 1: men north of Richmond, becomes new right wing blue collar anthem.

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Speaker 1: I mean, and then of course Rolling Stone has to

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Speaker 1: get in on the slander of this poor kid. I mean,

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Speaker 1: they're a disgraced left wing rag anyway, but they just

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Speaker 1: basically call Oliver Anthony a far right wing loon that

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Speaker 1: only speaks to the heart of conservative right wingers. But no,

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Speaker 1: that's not true. This is how actual Americans feel. And

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Speaker 1: again the media is just wholly detached from what is

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Speaker 1: important in this country, from what Americans really want.

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Speaker 2: They want a strong economy.

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Speaker 1: They want to be able to raise their children without

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Speaker 1: government showing them porn in their schools. They want to

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Speaker 1: be able to have a job where their dollar actually

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Speaker 1: buys them things at the store. They want a strong border.

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Speaker 1: They don't want to throw their tax dollars. There's a

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Speaker 1: way defending Ukraine when we can't even defend our own border.

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Speaker 1: When Americans are struggling with fentanyl addiction, people ventanyls the

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Speaker 1: number one killer of people in this country, where veteran

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Speaker 1: homelessness is that an all time high. America has all

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Speaker 1: sorts of issues right now, and by and large, the

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Speaker 1: American people are dissatisfied with not just Democrats in our

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Speaker 1: guy I'm sure as how Joe Biden at the Helm

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Speaker 1: Guy's are absolute walking disaster that can barely string together

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Speaker 1: our coherent sentence. But it's also Republicans bear some responsibility

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Speaker 1: for this as well. And Americans are frustrated, and they're

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Speaker 1: listening to the song by Oliver Anthony and they're saying, Hey,

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Speaker 1: this speaks.

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Speaker 2: To my heart.

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Speaker 1: And this is why this guy not only has Richmond

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Speaker 1: North of Richmond become the number one song on iTunes,

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Speaker 1: not only is the number one, he's got two or

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Speaker 1: three other songs on there too.

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Speaker 2: So I want you to listen to this song. I mean,

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Speaker 2: and you tell me if it speaks to your heart they.

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Speaker 7: Black you wish I could just wake up and not

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Speaker 7: be true, but it is.

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Speaker 2: Oh, it is living in the New world with and

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Speaker 2: whole So the rich Men northor Richmond Lord knows. Oh,

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Speaker 2: just want to have total control. Want to know what

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Speaker 2: you think. I want to know what you do. And

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Speaker 2: then I don't think you know, but know that you

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Speaker 2: do with your dollar.

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Speaker 7: Hate shit, and it's taxed to know him told the

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Speaker 7: rich man, towing the rich men.

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Speaker 1: That is what country music is all about. That is

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Speaker 1: what loving America is all about. Conservatives desperately need to

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Speaker 1: win the culture war because if you believe, and I do,

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Speaker 1: that politics is don onstream from culture, then we need

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Speaker 1: to be putting forth these songs and putting forth films

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Speaker 1: that speak to the state of America as it is today,

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Speaker 1: but also how to make this country better. And I

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Speaker 1: think by elevating people like Oliver Anthony will do that

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Speaker 1: speak directly to the hearts of the American people. And

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Speaker 1: so for those of you all tuning in watching this

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Speaker 1: live stream, I want to thank you so much for

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Speaker 1: being with me. This is like, really my very first

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Speaker 1: we did a beta test of it, but this is

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Speaker 1: my very first live stream that I've done, and so

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Speaker 1: I'm so happy that you can be with me. This

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Speaker 1: shows for you, and we're gonna be doing this every

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Speaker 1: night at five from here on out. So thank you

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Speaker 1: for watching God bless this exceptional nation that we call home,

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Speaker 1: and God bless America.

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Speaker 2: Take care