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Speaker 1: Well, good evening, everyone, Welcome to Stinchfield. I'll tell you

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Speaker 1: what everything stinks in Washington. I think the corruption you

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Speaker 1: see in that city runs rampant, and has been running

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Speaker 1: rampant in Washington probably since our capital was located there.

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Speaker 1: The problem now is it is hard to figure out

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Speaker 1: who's corrupt and who's not. One reason that's hard to

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Speaker 1: do is because many people didn't want to take a

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Speaker 1: look at that. But the walls are now closing in

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Speaker 1: in Washington. They're crumbling. Really why because of Donald Trump

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Speaker 1: and Elon Musk. The entire DOGE team is going to

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Speaker 1: get to the bottom of the corruption. I promise you,

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Speaker 1: not just wasteful spending, but corruption here all right. This

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Speaker 1: is our friend him birch At from Tennessee.

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Speaker 2: They're going to push back because you've got congressman on

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Speaker 2: both sides.

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Speaker 3: Of the owl.

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Speaker 2: And then you know, if they follow that paper trail,

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Speaker 2: it's going to come back to him and got their

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Speaker 2: wife and or girlfriend that works for some agency, quasi

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Speaker 2: agency or something is going to stop. I'll probably get

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Speaker 2: a I'll get primary for saying that that's the truth

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Speaker 2: and we all know it.

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Speaker 3: And this town's crooked as a dog's leg. Somebody's going

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Speaker 3: to strike it out. Looks like it's Gravon musk.

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Speaker 1: Crooked is a dog's leg. It has been for a

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Speaker 1: very long time.

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Speaker 4: So what does Elon Musk do. He's got to get

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Speaker 4: to the bottom of it.

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Speaker 1: We've got to stop not just the waste front abuse,

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Speaker 1: but elected politicians getting over on the American taxpayer. Look

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Speaker 1: at Senator Sheldon Whitehouse, the guy from Rhode Island Democrat.

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Speaker 4: The issue around him surrounds his wife. His wife worked.

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Speaker 1: For a consulting company or does now called Ocean Works.

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Speaker 4: She's the president of that.

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Speaker 1: Before then, she worked for a nonprofit called Ocean Conservancy.

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Speaker 1: This group received fourteen point two million dollars worth of

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Speaker 1: grant money through a series of bills from Infrastructure and

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Speaker 1: the Bipartisan Infrastructure Bill and the Inflation Reduction Act, all

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Speaker 1: bills that Sheldon Whitehouse, her senator husband, had voted for.

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Speaker 1: That to me, folks, is a very very big problem,

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Speaker 1: all of these bills that we've passed with the pork

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Speaker 1: in them all right.

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Speaker 4: Problem.

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Speaker 1: As you may remember, Mark Morano, who was on this

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Speaker 1: program from Climate Depot, said it's a giant grift going

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Speaker 1: on in Washington.

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Speaker 5: When they finally authorized the funds from the Inflation Reduction Act.

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Speaker 5: These groups formed themselves immediately to start sucking down this money.

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Speaker 5: And these were top Democrats you mentioned m Stacy Abrams,

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Speaker 5: Elizabeth Warren, other people through City Bank. And what happened

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Speaker 5: was they got this money and it was for absurd

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Speaker 5: things like environmental justice, identity politics, all stuff that would

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Speaker 5: have first of all, nothing to do with greenhouse gas

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Speaker 5: reductions and second of all everything to do with identity politics,

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Speaker 5: the wokaj.

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Speaker 4: This was just a complete grift for the.

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Speaker 5: Government to hand out money to people who are well connected.

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Speaker 4: And that's just one issue.

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Speaker 1: Think about all the other places we've handed out money

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Speaker 1: to Ukraine and beyond all the crazy USAID money that's

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Speaker 1: been floating around throughout the globe.

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Speaker 4: So we've got to get to the bottom of it. Clearly,

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Speaker 4: I want you to take a look at Adam Schiff.

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Speaker 1: The Adam Shift says he's got a net worth of

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Speaker 1: about two million dollars. Surprisingly, that's on the lower end

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Speaker 1: of members of Congress. But I've got to ask myself

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Speaker 1: a question about this man. He's got one hundred and

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Speaker 1: eighty thousand dollars a year salary. He claimed to have

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Speaker 1: taken in another forty thousand dollars from miscellaneous income by

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Speaker 1: my Matt. That's two hundred and twenty thousand dollars. How

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Speaker 1: do you have two mortgages. We've got a mortgage for

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Speaker 1: a three hundred and fifty thousand dollars condo in California

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Speaker 1: and a seven hundred and fifty thousand home in Maryland.

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Speaker 1: Now on two hundred and twenty thousand dollars, that doesn't

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Speaker 1: add up.

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Speaker 4: I don't know how you afford just to have the condos.

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Speaker 1: So where's his money coming from? He doesn't care apparently

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Speaker 1: that we're asking that question.

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Speaker 6: They come after me all the time, Elon Musk and

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Speaker 6: Donald Trump. They called me a criminal, they called me

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Speaker 6: a trader. Their maga minions online come after me to

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Speaker 6: try to intimidate me, to create fear. I'll tell you

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Speaker 6: my response. My response to that is threw you and

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Speaker 6: the horse you rode in on. I hope that is

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Speaker 6: your response to.

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Speaker 4: Do we bleep out screw you? No, screw you, Adam Schiff.

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Speaker 1: Seriously, I'm gonna be looking at you because you're crooked,

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Speaker 1: and I think you're also a criminal with leaking classified

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Speaker 1: information and for what you did to President Trump. So yes,

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Speaker 1: Laser focused on Adam Schiff. All of this, though, the

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Speaker 1: widespread corruption amongst members of Congress and in the United

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Speaker 1: States Senate is.

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Speaker 4: All an open secret. I mean, I'm gonna show you

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Speaker 4: the net worth of the leaders of these two parties.

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Speaker 4: Check this out.

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Speaker 1: Nancy Pelosi, she's been government all her life, two hundred

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Speaker 1: and two million dollars.

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Speaker 4: Net worth two hundred and two million dollars.

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Speaker 1: Mitch McConnell ninety five million, Chuck Schumer seventy five million.

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Speaker 4: And I love this one though.

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Speaker 1: This one's my favorite because she's crowing about the rich

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Speaker 1: and famous. She's worth sixty seven million dollars. Elizabeth Warren,

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Speaker 1: all of these people career politicians.

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Speaker 4: How in the world are they gathering this wealth?

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Speaker 1: Elon Musk says, it's it's not just about insider trading.

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Speaker 1: So members talk about this, members of Congress, but nothing

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Speaker 1: seems to get done. Maybe though, baby, this is changing.

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Speaker 1: This is Congressman Burlison from our program.

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Speaker 7: We need to do our jobs and identify the corruption

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Speaker 7: and do investigations into into all of this corrupt activity

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Speaker 7: and how.

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Speaker 4: The money has flowed.

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Speaker 7: Let's Congress take all of the heat, and Congress needs

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Speaker 7: to step in and identify all of it. You know,

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Speaker 7: look there, you can't throw a rock in this town

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Speaker 7: without identifying some organization that you know, three letter entity

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Speaker 7: that is part of this home you know, money laundering machine.

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Speaker 4: Here's the good news for you. We have members of

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Speaker 4: Congress like that and others. One will be with us

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Speaker 4: in just a moment that want to get to the

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Speaker 4: bottom of all of this. So how bad is it?

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Speaker 1: Well, Elon Musk gave us a hint from what he's found.

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Speaker 4: He now fears for his life.

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Speaker 8: If I fully destroy the corruption and the craft, they

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Speaker 8: will kill me.

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Speaker 1: Frightening because this is big money, billions of dollars. In fact,

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Speaker 1: what exactly has Elon must found? Here's a little example.

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Speaker 8: Small decisions result in multi billion dollar outcomes. So you know,

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Speaker 8: we'd see, you know, there was a case where we

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Speaker 8: saw one person was getting one point nine billion dollars

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Speaker 8: sent to their ANGO, which basically got formed about a

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Speaker 8: year ago and had no prior uh brilliant, no prior activity.

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Speaker 4: One point nine billion to their pet NGO. I can't

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Speaker 4: wait to figure out who that was.

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Speaker 1: And then there's nobody more corrupt than the Biden crime family.

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Speaker 4: Right, Well, this is rich, folks.

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Speaker 1: So Hunter Biden is dropping his lawsuit against the gentleman

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Speaker 1: who released his computer with all.

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Speaker 4: Hunter's laptop stuff on. He's dropping it.

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Speaker 1: Says he doesn't have the money anymore, doesn't have the money.

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Speaker 1: He basically it makes a stunning admission. Not so stunning,

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Speaker 1: but an admission, so to speak. In this throw it up, guys.

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Speaker 1: Let's read it to the folks at home. It reads

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Speaker 1: since late twenty twenty three, Hunter Biden writes, and through today,

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Speaker 1: my income has decreased significantly. Prior to that time, my

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Speaker 1: income primarily came from sales of my artwork and sales

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Speaker 1: of my memoir.

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Speaker 4: Entitled Beautiful Things.

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Speaker 1: In the two to three years prior to December twenty

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Speaker 1: twenty three, I sold twenty seven pieces of art at

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Speaker 1: an average price of fifty four thousand dollars. But since

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Speaker 1: then I've only sold one piece of art at thirty

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Speaker 1: six thousand dollars. Given the positive feedback and reviews of

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Speaker 1: my artwork and memoir, I was expecting to obtain paid

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Speaker 1: speaking engagements and paid appearances, but that has not happened.

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Speaker 1: So when his dad was in office, he sold twenty

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Speaker 1: seven pieces of art for fifty four thousand dollars.

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Speaker 4: Now his dad's out, and he.

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Speaker 1: Sold one right before his dad left for thirty six thousand.

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Speaker 1: You think they were buying influence. Thank you for the admission,

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Speaker 1: Hunter Biden. That's about time.

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Speaker 4: What about the idea of.

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Speaker 1: Buying influence on all of these things? Senator Joni Ernst

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Speaker 1: sent a letter to Health in Human Services exposing a

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Speaker 1: group called arph dash A. She calls it a Biden

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Speaker 1: biotech slush fund. Fox Business insists there's nothing on this

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Speaker 1: group's website. They don't have any labs, they don't have

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Speaker 1: any real programs.

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Speaker 4: Doctor mccullaugh commented on it, What do you make of that?

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Speaker 5: It looks like sush funds at HHS under Biden?

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Speaker 9: How does anybody get twenty eight million by.

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Speaker 7: Using a post office box as an address?

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Speaker 10: This is part of a giant slush fund called ARPA

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Speaker 10: H one point five billion dollars floated out from the

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Speaker 10: Biden administration in twenty twenty two. As far as I

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Speaker 10: can see, they've produced nothing. Supposed to be a biotech

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Speaker 10: innovator has no oversight.

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Speaker 4: I think ELNs Musk.

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Speaker 10: Dose group AUDI look at this one pretty carefully.

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Speaker 4: If the money's not being used to do anything good,

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Speaker 4: it can only go one place, and that's in somebody's pocket.

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Speaker 1: We want to know whose pockets. Well, joining me now,

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Speaker 1: Republican Congressman from Tennessee, who gave me the idea for

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Speaker 1: this whole monologue. Today, our friend Tim Burchett is back

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Speaker 1: with us.

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Speaker 4: Congressman. Good to see you.

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Speaker 3: Good to see brother, Thanks for having me on.

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Speaker 1: All right, you're in the sweatsuit because you're gearing up,

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Speaker 1: working out for a fight ahead of you. You're going

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Speaker 1: to have a fight. You think you may get primaried. Heck,

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Speaker 1: you may be leggy elon musk. They may come after

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Speaker 1: your congressman. You're speaking up about this stuff.

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Speaker 3: Yeah, I'm not suicidal.

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Speaker 2: So if you found me tomorrow with thirteen bullet holes

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Speaker 2: in the back of my head, I did not do

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Speaker 2: it to myself. And I do not take any narcotics

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Speaker 2: and I do not drink, so we're kind of limited.

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Speaker 2: But now, yeah, everybody knows it's a crooked town. That's

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Speaker 2: I like to say East Tennessee. We say it's crooked

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Speaker 2: as a dog's leg, and it really is. The thing

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Speaker 2: you got to figure is, where is this money going,

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Speaker 2: And why is the pushback coming out on Elon Musk

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Speaker 2: And the reason I'm pointing I'm going like this because

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Speaker 2: that's the way the money's going to go. It's going

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Speaker 2: to go out of the American taxpayer's back pocket into

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Speaker 2: the back pocket he used to be. You know, we

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Speaker 2: uncovered some things a while back that dealt is Ukrainian

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Speaker 2: money we think got pushed into some Democrat campaigns. But

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Speaker 2: now you're going to see it, I think, go right

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Speaker 2: into the pockets and politicians. Case in point, we voted

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Speaker 2: for the I didn't, but we started voting for all

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Speaker 2: this money for Ukraine.

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Speaker 3: Where's it all going?

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Speaker 2: Well, we ended up giving them our missile defense system

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Speaker 2: and then guess what we had to replenish our missile

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Speaker 2: defense system. And when we did that, it was a

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Speaker 2: multi billion dollar no bid contract and it went right.

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Speaker 2: And who owned stocking that members of Congress both parties.

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Speaker 2: This stuff's got to stop, man, it has got to stop.

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Speaker 2: And you honestly think we're sending ten million dollars to

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Speaker 2: Madagascar for circumstances for circumcisions.

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Speaker 3: I mean, I don't know what a circumcision.

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Speaker 2: Costs, but I can't imagine how many we're doing for

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Speaker 2: ten million dollars. I understand they're voluntary, but either way,

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Speaker 2: it's it's not a bad it's not a good look.

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Speaker 2: We're sending trillions of dollars overseas. You know, I have

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Speaker 2: a bill dealing with I'm trying to get a hearing

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Speaker 2: on it, trying to get it passed. We're sending forty

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Speaker 2: million dollars a week to the dad gum Taliban man.

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Speaker 2: They'll hate us for free. Where is all this money going?

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Speaker 2: And why are the Democrats pitching such a fit that

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Speaker 2: we're trying to stop waste abuse and a waste abuse

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Speaker 2: and fraud.

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Speaker 3: You know when they said medicaid, Oh, we're cutting medicaid.

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Speaker 3: No we're not.

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Speaker 2: We're cutting the fraud in medicaid so we can give

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Speaker 2: those people more money that the system they paid into.

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Speaker 2: So this thing is corrupt to the top, and we

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Speaker 2: need it. These are eighty twenty issues. Eighty percent of

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Speaker 2: the population agrees with it. Hammer Congress on this, Hammer

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Speaker 2: Congress on this. Don't let them get off. We'll hook

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Speaker 2: on this one.

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Speaker 4: We can't.

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Speaker 1: I know Stinchield's army out there isn't going to and

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Speaker 1: certainly I'm not going to I know you're not going.

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Speaker 4: To, but here's my question.

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Speaker 1: So you say you're trying to get a hearing on

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Speaker 1: this forty million dollars in the Taliban, is the speaker

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Speaker 1: not banging on your door? Please please help us? Where

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Speaker 1: is speaker Johnson in this? I don't mean to put

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Speaker 1: you in a bad spot.

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Speaker 4: But now.

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Speaker 3: He's been good about it and told him to pass

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Speaker 3: it on to get it going.

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Speaker 2: And then I had a meeting with my buddy Steve's

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Speaker 2: Scalise last week and he's he's he told me they're

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Speaker 2: going to get on it. But it just you know

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Speaker 2: the machine. Here's the machine in Washington. You don't everybody

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Speaker 2: talks all these evil lobbyists. Well, we're all lobbyist. Either

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Speaker 2: we're lobbyists for good or for bad. If we're not

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Speaker 2: out there for good, then the bad will fill in

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Speaker 2: the vacuum. But what you've got is staff. Republican committees have,

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Speaker 2: some of them have sixty sixty people.

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Speaker 3: That work for them. The staff.

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Speaker 2: The staff is the real swamp or sewer, if you will.

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Speaker 2: I've heard very powerful members of Congress say, oh, we

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Speaker 2: can't get that out because staff would kill me for it,

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Speaker 2: or staff doesn't like it.

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Speaker 3: Who the hell elected the staff? Nobody?

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Speaker 2: And that's whose You know, all the focus and attention

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Speaker 2: is on Congress, and it should be, but you've got

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Speaker 2: this whole infield.

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Speaker 3: And that's how you see, how do these people stay

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Speaker 3: in office?

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Speaker 2: We had the Chairman of Appropriations living in a dad

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Speaker 2: gum nursing home for I think it was in Alzheimer's

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Speaker 2: type situation. How does that happen? And you know why

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Speaker 2: it happens because the staff is running it. The staff

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Speaker 2: is fed off these committees, and they keep them going.

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Speaker 2: They keep propping these old old men up. They can't

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Speaker 2: put a two words together and form a sentence.

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Speaker 3: And we've got a real problem.

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Speaker 4: So let me ask you two questions, Cheryl.

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Speaker 1: One is are you getting pushed back, even quiet pushback

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Speaker 1: from members of your own party? Are there people telling

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Speaker 1: you purchase please back off of this?

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Speaker 11: Yeah?

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Speaker 2: I got called to the woodshed, remember of leadership. Man

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Speaker 2: said you know, I got to do this and I

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Speaker 2: got to tell you. You know, some guys in leadership

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Speaker 2: don't like you saying this stuff. And I said, but

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Speaker 2: it's true, right And he said, well yeah, he said,

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Speaker 2: but you can't say it. And I'm like, well tough,

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Speaker 2: I'm from Tennessee. Come after me, and that's what they'll do.

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Speaker 2: They'll they'll pick at me. They you know, they they're

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Speaker 2: already hurting my fundraising. You know, it's just the big

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Speaker 2: boys don't like it because they're getting fed. They will

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Speaker 2: run this country into the ground to take to keep

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Speaker 2: their power and keep that money flowing, that crooked money

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Speaker 2: that we have worked so hard for in America to

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Speaker 2: be just stolen from them.

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Speaker 4: All right, well, I know you know this.

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Speaker 1: Times are changing, right, so they don't control Republican Party

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Speaker 1: like they think they used to.

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Speaker 4: Since Trump is taken over. Stinchfield's army.

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Speaker 1: Go find Congress from Burchet's fundraising pages website to put

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Speaker 1: some put some money in the.

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Speaker 4: Tip jar the man.

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Speaker 1: All right, if leadership is going to try to squash

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Speaker 1: his fundraising, we'll try to raise some money for you,

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Speaker 1: Kyson Purchap, because you're on the front lines here.

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Speaker 4: Last question for you.

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Speaker 1: You don't have to name names, but do you have names?

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Speaker 1: Do you think you know where some of this money's going?

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Speaker 1: You think you got them dead to rights?

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Speaker 2: I think I think it's it's pretty evident to me

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Speaker 2: where some of it's going. Yeah, but you got to dig.

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Speaker 2: They're pretty arrogant, but you got to dig a little deep.

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Speaker 2: You've got to You've got to look at vacations. You

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Speaker 2: got to look at where they go, you got to

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Speaker 2: look at trips that are made. You got to look

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Speaker 2: at family members and things like that. And that's just

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Speaker 2: something that nobody wants to do. But I'll tell you what,

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Speaker 2: if Elon Musk is still in in the next one

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Speaker 2: hundred hundred and fifty days, I think a lot of

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Speaker 2: that's going to come out because he's got you know,

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Speaker 2: I don't understand how they do it with the AYI

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Speaker 2: and all this stuff, but they've got from our conversations

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Speaker 2: with him, he's got some stuff cooking, and they will

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Speaker 2: start squirming and they will try to do everything they

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Speaker 2: can a lot to dislodge him from from Trump because

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Speaker 2: that's all they're talking about is, you know, I don't.

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Speaker 3: Like this stuff. He's saying.

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Speaker 2: Well, Elon Musk is is not a politician, all right,

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Speaker 2: He's some I don't know. I mean, you know, I've

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Speaker 2: I've talked to him. He's a funny guy. He's he's

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Speaker 2: obviously very smart. But you know, it's we're gonna have

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Speaker 2: to enact it. And so you watch, you watch the

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Speaker 2: ones that pitch the fit when the bills start coming

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Speaker 2: out to what they say, codify these the stuff Doge does,

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Speaker 2: and the ones that they're doing. They'll pass a strong

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Speaker 2: bill in the House, and they'll pass a strong bill

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Speaker 2: in the Senate and they won't align. And then they'll

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Speaker 2: blame the House, and the House will blame the Senate.

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Speaker 2: The sender will blame the House, and the big boys

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Speaker 2: will laugh all the way to the bank.

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Speaker 1: All right, Well, as you said, uh, we need to

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Speaker 1: put the pressure on him. I take it there is

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Speaker 1: a few of you up there that that feel like you.

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Speaker 1: We've spoken to some of them, obviously, many to come

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Speaker 1: on this program feel like you.

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Speaker 4: Uh so you do have some back up.

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Speaker 1: But we'll we'll We're gonna never stop fighting trying to

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Speaker 1: get this changed.

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Speaker 3: I know you won't.

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Speaker 1: And you're always great coming on the program. Congressman, enjoy

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Speaker 1: your weekend, and thank you. I'll make sure I tweet

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Speaker 1: out the tape of you saying you're not suicidal, so

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Speaker 1: we got that on the record on AX.

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Speaker 4: Okay, right on.

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Speaker 3: Thank you so much, you got it, my man.

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Speaker 4: Thank you be safe out there. Really you know, we

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Speaker 4: joke about it, but it's really not even funny.

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Speaker 1: This is big money and these people are serious, man,

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Speaker 1: serious as a heart attack, No pun intended.

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Speaker 4: All Right, on to another story.

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Speaker 1: Four hundred and fifteen government agencies quasi agencies.

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Speaker 4: Thanks to our friends over to open the books. Seventy

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Speaker 4: five of them. Okay, seventy five of.

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Speaker 1: Them are basically defunct, went out of business, merged with

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Speaker 1: other other agencies.

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Speaker 4: Yet they're still in the federal record. What kind of

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Speaker 4: record keeping is that? Well?

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Speaker 1: Joining me now is investigative journalist from openthbooks dot com.

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Speaker 4: Jeremy port Nore is with us. Jeremy is good to

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Speaker 4: see you again.

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Speaker 11: Good to see you too, Grant.

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Speaker 4: How are you all right, Jeremy? It seems to me

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Speaker 4: that if you close an agency down or you merging

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Speaker 4: with you could take it off of the books. This

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Speaker 4: is not happening. Yeah.

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Speaker 12: This all started because we went through the Federal Register

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Speaker 12: trying to tally up how much spending and headcount has

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Speaker 12: increased in each federal agency. The first thing we noticed

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Speaker 12: is that seventy five of them don't even exist anymore.

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Speaker 12: They're still listed in the register, but it's almost impossible

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Speaker 12: for the average person looking through this to really get

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Speaker 12: a sense of how large the bureaucracy is. Because this

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Speaker 12: list is not up to date, it's hard to tell

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Speaker 12: what's actually still in place and what's already defunct.

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Speaker 1: All right, there's not money going through defunct agencies, right,

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Speaker 1: because that would be really bad.

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Speaker 11: Right, we haven't found evidence of that yet.

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Speaker 12: We just see them still listed in this register, basically

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Speaker 12: obscuring from people how many of these agencies are truly

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Speaker 12: still in place. But we've already gotten through a good

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Speaker 12: chuck of the agencies that do still exist, like, of course,

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Speaker 12: the Department of Education, the EPA, and unsurprisingly we're finding

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Speaker 12: their leads just soaring by five hundred to one thousand

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Speaker 12: percent over the past twenty five years.

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Speaker 1: All right, this is what I was going to ask

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Speaker 1: you next, because as I was going through you've got EPA,

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Speaker 1: Department of Energy, departments that you go through all of them.

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Speaker 1: It seems like I was surprised at this that head

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Speaker 1: count from two thousand to twenty twenty four in most

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Speaker 1: of these agencies actually dropped, but as you said, the

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Speaker 1: increase in spending soared up to one thousand percent in

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Speaker 1: some agencies.

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Speaker 12: Right, And That's one of the big counter arguments you

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Speaker 12: see people trying to use against DOJE and against cutting

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Speaker 12: government spending is they say, look, the headcount is staying

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Speaker 12: the same, or some employees were actually let go, But

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Speaker 12: that's not the whole story. If you look at the EPA,

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Speaker 12: they have less employees now than they did in two thousand,

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Speaker 12: but they're spending increased by five hundred and seventy percent.

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Speaker 12: Department of Education spending is up by seven hundred and

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Speaker 12: fifty percent since two thousand, even though math and reading

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Speaker 12: scores have dropped among the fourth and eighth creators around

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Speaker 12: the country. We're spending all this money, we're not seeing

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Speaker 12: the results of it.

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Speaker 1: It seems to me that seems a common theme at

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Speaker 1: all levels of government. Spend lots of money, throw it

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Speaker 1: at a problem, and the solutions never come. They never

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Speaker 1: never see any positive results to any of this.

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Speaker 12: Jeremy, Yeah, I mean it's sad, but it's true. And

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Speaker 12: a lot of times with the EPA is a good example.

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Speaker 12: You see the employees actually in the agency sounding the

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Speaker 12: alarm bell and people don't listen.

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Speaker 11: Right.

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Speaker 12: A couple of years ago, the EPA Inspector General went

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Speaker 12: to Congress and told them, hey, the Inflation Reduction Act

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Speaker 12: gave us way more money than we have the capacity

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Speaker 12: to spend, and we know if we spend it all

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Speaker 12: a lot of it will probably be lost to fraud.

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Speaker 12: But nothing changed. All that money still went out the door.

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Speaker 12: Forty billion dollars. Spending just goes up and up every year,

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Speaker 12: reach new records under Biden. Now it's up to this

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Speaker 12: new administration to try and slow it down.

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Speaker 3: All right.

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Speaker 1: One one agency I saw last question for you the FCC.

441
00:21:49,480 --> 00:21:52,800
Speaker 1: The budget up nearly twelve hundred percent since two thousand.

442
00:21:53,359 --> 00:21:55,240
Speaker 4: What is the FCC doing with that money?

443
00:21:56,320 --> 00:21:58,360
Speaker 11: That's one of the biggest spikes we've seen in all

444
00:21:58,440 --> 00:21:59,280
Speaker 11: the agencies.

445
00:21:59,320 --> 00:22:01,280
Speaker 12: We've looked through through about half of them so far,

446
00:22:02,040 --> 00:22:04,560
Speaker 12: and you're right, up twelve hundred percent, right, that's the

447
00:22:04,600 --> 00:22:07,840
Speaker 12: Federal Communications of Commission, of course, managing radio and TV.

448
00:22:08,359 --> 00:22:11,359
Speaker 12: Even this program we're on right now, I'm sure, but

449
00:22:11,800 --> 00:22:13,639
Speaker 12: just an example, right, these agencies that you don't think

450
00:22:13,640 --> 00:22:16,000
Speaker 12: about as being one of the big ones, like you know,

451
00:22:16,160 --> 00:22:18,480
Speaker 12: the EPA or the Department of State, but even these

452
00:22:18,520 --> 00:22:21,480
Speaker 12: little agencies and smaller groups, this spending just keeps going

453
00:22:21,560 --> 00:22:22,720
Speaker 12: up and up year over year.

454
00:22:23,880 --> 00:22:25,840
Speaker 4: Well, I'll tell you this. It's great work. You guys.

455
00:22:25,920 --> 00:22:28,720
Speaker 1: Do over to Open the Books, Jeremy. I appreciate you

456
00:22:28,880 --> 00:22:31,800
Speaker 1: sharing your work with us. As you release more stuff,

457
00:22:31,880 --> 00:22:33,560
Speaker 1: make sure you call us. We'll get it out there

458
00:22:33,600 --> 00:22:33,800
Speaker 1: for you.

459
00:22:33,960 --> 00:22:34,240
Speaker 4: Thank you.

460
00:22:35,320 --> 00:22:37,120
Speaker 11: Of course, you just say the word grant.

461
00:22:37,920 --> 00:22:41,080
Speaker 4: Absolutely, buddy. Open the books dot com. Folks. Check out

462
00:22:41,119 --> 00:22:43,080
Speaker 4: their website. Really, it's fascinating to go through their reports.

463
00:22:43,320 --> 00:22:46,520
Speaker 1: Maddening but fascinating at the same time. All right, folks,

464
00:22:46,560 --> 00:22:49,040
Speaker 1: the IRS is the largest collection agency in the world.

465
00:22:49,119 --> 00:22:50,679
Speaker 1: Of course they're gonna pay for all this stuff, right,

466
00:22:51,000 --> 00:22:52,440
Speaker 1: and with April fifteenth.

467
00:22:52,200 --> 00:22:54,520
Speaker 4: Just around the corner, they are more aggressive than ever.

468
00:22:54,640 --> 00:22:57,480
Speaker 1: If you owe back taxes or of unfiled returns, do

469
00:22:57,640 --> 00:22:59,760
Speaker 1: not wait for the IRS to come after you. Getting

470
00:22:59,800 --> 00:23:02,160
Speaker 1: ahead of this now is the smart move. But never

471
00:23:02,320 --> 00:23:05,160
Speaker 1: contact the IRS alone. Turn it over to the team

472
00:23:05,240 --> 00:23:09,040
Speaker 1: at Tax Network USA. Whether you owe ten thousand dollars

473
00:23:09,200 --> 00:23:13,119
Speaker 1: or ten million. Tax Network USA's attorneys and negotiators have

474
00:23:13,200 --> 00:23:15,400
Speaker 1: resolved over one billion in tax debt.

475
00:23:15,800 --> 00:23:17,080
Speaker 4: Getting in touch with them is easy.

476
00:23:17,200 --> 00:23:20,440
Speaker 1: Called one eight hundred nine oh five eight thousand, or

477
00:23:20,600 --> 00:23:26,160
Speaker 1: visit tn USA dot com forward slash raf. All right,

478
00:23:26,560 --> 00:23:30,480
Speaker 1: we have the saga of Joe Biden and the auto pen?

479
00:23:31,160 --> 00:23:35,040
Speaker 1: Could his executive orders all be null and void?

480
00:23:35,240 --> 00:23:50,040
Speaker 4: This story? Wait till you see it. Welcome back everyone.

481
00:23:50,280 --> 00:23:54,479
Speaker 1: We've got some disturbing news to tell you. Maybe it's

482
00:23:54,520 --> 00:23:57,280
Speaker 1: good news, maybe it's not. It's actually pretty frightening when

483
00:23:57,280 --> 00:24:01,520
Speaker 1: you think about it. Nearly every one of Biden's executive orders,

484
00:24:02,119 --> 00:24:05,680
Speaker 1: his pardons, in my opinion, could all be null and void.

485
00:24:06,080 --> 00:24:11,720
Speaker 1: Did Joe Biden use an autopen virtual electronic signature to

486
00:24:12,040 --> 00:24:15,280
Speaker 1: sign all of these executive orders? I want you to

487
00:24:15,400 --> 00:24:18,280
Speaker 1: take a look at this video. It's a side by

488
00:24:18,480 --> 00:24:23,119
Speaker 1: side of the auto pen signature is what it's called.

489
00:24:24,480 --> 00:24:27,960
Speaker 1: On the left, you see the signature used in nearly

490
00:24:28,480 --> 00:24:33,280
Speaker 1: every signing. On the right is Biden's signature in the

491
00:24:33,600 --> 00:24:36,240
Speaker 1: one document we know that he signed, and that was

492
00:24:36,359 --> 00:24:39,800
Speaker 1: him stepping out of the race, dropping out of the

493
00:24:39,880 --> 00:24:43,840
Speaker 1: presidential race, they look a little different. Did they use

494
00:24:43,920 --> 00:24:48,040
Speaker 1: an auto pen? Maybe here's some more evidence. Do you

495
00:24:48,119 --> 00:24:51,919
Speaker 1: remember the story that Speaker Mike Johnson told about.

496
00:24:51,720 --> 00:24:56,160
Speaker 4: Joe Biden not remembering an executive order he signed. Listen

497
00:24:56,200 --> 00:24:56,399
Speaker 4: to this.

498
00:24:57,080 --> 00:25:00,800
Speaker 13: Heah with me, as miss President, respectfully, I could I

499
00:25:00,840 --> 00:25:02,639
Speaker 13: go out here and ask your secretary to print it out.

500
00:25:02,680 --> 00:25:04,800
Speaker 13: We'll read it together. You definitely did that, and he goes, oh,

501
00:25:05,000 --> 00:25:08,920
Speaker 13: you talk about natural gas. Yes, sir, he said, oh no,

502
00:25:09,080 --> 00:25:11,159
Speaker 13: I did you misunderstand? He said, what I did is

503
00:25:11,200 --> 00:25:13,680
Speaker 13: I signed this thing to we're gonna We're gonna conduct.

504
00:25:13,400 --> 00:25:16,560
Speaker 4: A study on the effects of energy. I said, no,

505
00:25:16,680 --> 00:25:17,240
Speaker 4: you're not, sir.

506
00:25:17,359 --> 00:25:18,040
Speaker 3: You paused it.

507
00:25:18,200 --> 00:25:20,680
Speaker 13: I know I have the terminal, the export terminals in

508
00:25:20,840 --> 00:25:23,399
Speaker 13: my state. I talked to those people this morning. This

509
00:25:23,600 --> 00:25:26,639
Speaker 13: is doing massive damage to our economy, national security. It

510
00:25:26,760 --> 00:25:29,040
Speaker 13: occurred to me, Barry, he was not lying to me.

511
00:25:32,440 --> 00:25:35,720
Speaker 4: So was joke of Biden, especially the end lacked the

512
00:25:35,800 --> 00:25:39,119
Speaker 4: cognitive ability to remember what he was supposed to be signing.

513
00:25:39,640 --> 00:25:43,680
Speaker 1: Did he sign these documents at all? Will the mainstream

514
00:25:43,680 --> 00:25:46,919
Speaker 1: media cover this story? I'm not convinced they will. Joining

515
00:25:46,960 --> 00:25:50,800
Speaker 1: me now from the organization that uncovered this, from the

516
00:25:50,840 --> 00:25:54,560
Speaker 1: Heritage Foundation, attorney Samuel Dewey is with us.

517
00:25:55,160 --> 00:25:56,600
Speaker 4: Samuel, welcome to the program.

518
00:25:57,440 --> 00:25:58,200
Speaker 11: Thanks for having me.

519
00:25:59,359 --> 00:26:01,240
Speaker 1: All right, Why would you take me through what you

520
00:26:01,359 --> 00:26:05,160
Speaker 1: found here? This auto pen situation? What are you thinks

521
00:26:05,240 --> 00:26:05,879
Speaker 1: going on here?

522
00:26:07,520 --> 00:26:10,359
Speaker 14: So we've been tracking for a while the fact that

523
00:26:10,520 --> 00:26:15,000
Speaker 14: President Biden clearly was not all with it, and that

524
00:26:15,119 --> 00:26:18,679
Speaker 14: it got progressively works over his presidency. So we've been

525
00:26:18,800 --> 00:26:22,320
Speaker 14: looking at how do we show that what innditie of

526
00:26:22,440 --> 00:26:26,960
Speaker 14: that would be. So we obviously litigated against buying a

527
00:26:27,000 --> 00:26:29,399
Speaker 14: lot when he was in office. We were pursuing and

528
00:26:29,480 --> 00:26:32,680
Speaker 14: are still pursuing the tapes of his disastrous interview with

529
00:26:32,720 --> 00:26:37,119
Speaker 14: Special counselor her the elderly man with a poor memory

530
00:26:37,359 --> 00:26:40,160
Speaker 14: as one of the reasons that he didn't get charged

531
00:26:40,240 --> 00:26:44,639
Speaker 14: for retaining classified documents, and we've heard that that tape

532
00:26:44,920 --> 00:26:49,720
Speaker 14: demonstrates the fact that he was an elderly man who

533
00:26:49,840 --> 00:26:54,080
Speaker 14: was not altogether with it. So we've been pursuing that angle.

534
00:26:54,160 --> 00:26:56,040
Speaker 14: Another angle that we were taking a look at was

535
00:26:56,119 --> 00:26:58,639
Speaker 14: well to what Speaker Johnson said, in the light of

536
00:26:58,680 --> 00:27:01,879
Speaker 14: how little he seemed to know about what was actually

537
00:27:01,960 --> 00:27:05,440
Speaker 14: going on in his administration ostensibly under his name, was

538
00:27:05,520 --> 00:27:08,960
Speaker 14: looking at the signatures, and what we saw was that

539
00:27:09,040 --> 00:27:11,359
Speaker 14: it appears that there are a lot of documents that

540
00:27:11,480 --> 00:27:14,879
Speaker 14: should have wet signatures, normally have wet signatures, would have

541
00:27:15,000 --> 00:27:18,760
Speaker 14: a wet signature. Under President Trump, he at forty five

542
00:27:18,880 --> 00:27:22,000
Speaker 14: or forty seven looked as though they were autopen and

543
00:27:22,040 --> 00:27:26,159
Speaker 14: there was a very real variance between these signatures. So

544
00:27:26,320 --> 00:27:28,479
Speaker 14: we looked at them all and we thought and we said, well,

545
00:27:28,520 --> 00:27:33,040
Speaker 14: that would make a lot of sense. Either your auto

546
00:27:33,160 --> 00:27:36,520
Speaker 14: penning to hide a cognitive decline that would be inherent

547
00:27:36,600 --> 00:27:40,840
Speaker 14: in the handwriting. For example, if you look at one,

548
00:27:40,920 --> 00:27:43,200
Speaker 14: we think he did sign himself, which is Hunter's pardon.

549
00:27:44,000 --> 00:27:47,120
Speaker 14: The handwriting is shaky and has some marks that would

550
00:27:47,119 --> 00:27:51,120
Speaker 14: suggest that. And then the broader question is, well, we're

551
00:27:51,200 --> 00:27:54,480
Speaker 14: his staff, who we knew were managing everything else, telling

552
00:27:54,560 --> 00:27:57,639
Speaker 14: him what reporters to call on, telling him where to stand,

553
00:27:58,400 --> 00:28:01,080
Speaker 14: telling him he had to stop talking to the press.

554
00:28:01,960 --> 00:28:05,320
Speaker 14: Were they just telling him, hey, we've got this great

555
00:28:05,440 --> 00:28:08,080
Speaker 14: thing autopenning it he didn't read it, didn't know what

556
00:28:08,280 --> 00:28:09,320
Speaker 14: was in it, etc.

557
00:28:10,680 --> 00:28:12,720
Speaker 1: Let me take it through a series of questions pretty

558
00:28:12,760 --> 00:28:14,480
Speaker 1: quickly as we get to the bottom of so, do

559
00:28:14,640 --> 00:28:18,280
Speaker 1: you have a handwriting expert that says, yes, these are

560
00:28:18,320 --> 00:28:20,440
Speaker 1: all autopen or do you have an expert that says, yes,

561
00:28:20,480 --> 00:28:22,840
Speaker 1: every single one of these signatures is the exact same,

562
00:28:22,920 --> 00:28:26,440
Speaker 1: because basically an electronic signature, an autopen, a computer is

563
00:28:26,480 --> 00:28:29,000
Speaker 1: going to write it the same every time. Did you

564
00:28:29,119 --> 00:28:31,120
Speaker 1: have one of those experts figure that out?

565
00:28:32,040 --> 00:28:35,480
Speaker 14: That's something we have underway is talking to experts in

566
00:28:35,560 --> 00:28:38,440
Speaker 14: these fields. Another way you could look at it is

567
00:28:38,840 --> 00:28:43,680
Speaker 14: isould there should be records obstensibly authorizing the use of

568
00:28:43,720 --> 00:28:47,360
Speaker 14: the autopen. So that's another another question out there. But

569
00:28:47,440 --> 00:28:50,880
Speaker 14: we're looking very actively at both of those avenues to

570
00:28:51,040 --> 00:28:52,040
Speaker 14: further our inquiry.

571
00:28:53,240 --> 00:28:59,280
Speaker 1: So the autopen is not necessarily illegal to use or

572
00:28:59,360 --> 00:29:03,320
Speaker 1: would nullan avoid these these executive orders or could it?

573
00:29:04,960 --> 00:29:05,120
Speaker 4: Oh?

574
00:29:05,160 --> 00:29:07,640
Speaker 14: I think it definitely could. I mean, at the at

575
00:29:07,680 --> 00:29:10,760
Speaker 14: the highest level, it is unclear if you can use

576
00:29:10,800 --> 00:29:14,240
Speaker 14: the autopen at all, even if everything else is above board.

577
00:29:14,680 --> 00:29:18,080
Speaker 14: H d oj has said you can a lot of people,

578
00:29:18,160 --> 00:29:21,480
Speaker 14: including myself, think you can't. That you need a wet signature.

579
00:29:22,000 --> 00:29:25,320
Speaker 14: I can tell you that President Trump a wet signature

580
00:29:25,360 --> 00:29:27,320
Speaker 14: for something like a bill or an executive order. And

581
00:29:27,360 --> 00:29:30,000
Speaker 14: I can tell you President Trump has never autopen something

582
00:29:30,160 --> 00:29:30,360
Speaker 14: like that.

583
00:29:30,920 --> 00:29:34,920
Speaker 1: Well, let me let me do this for you. We

584
00:29:35,080 --> 00:29:38,000
Speaker 1: got we put this together for you. Okay, So this

585
00:29:38,200 --> 00:29:41,040
Speaker 1: is President Trump. We know this isn't an auto pen

586
00:29:41,200 --> 00:29:49,480
Speaker 1: roller guys, all right, So this.

587
00:29:49,920 --> 00:29:50,760
Speaker 4: Is him literally.

588
00:29:50,840 --> 00:29:52,160
Speaker 1: I thought it was gonna be a little bit different,

589
00:29:52,160 --> 00:29:54,440
Speaker 1: but this is him literally going through a whole bunch.

590
00:29:54,320 --> 00:29:57,720
Speaker 4: Of different Uh, not quite. Maxette thought I was gonna

591
00:29:57,720 --> 00:30:00,520
Speaker 4: be but but that's him going through execut kative order

592
00:30:00,560 --> 00:30:04,640
Speaker 4: after executive order, clearly not an autopen. So no, if

593
00:30:04,720 --> 00:30:06,560
Speaker 4: you figure if you figure out.

594
00:30:06,480 --> 00:30:09,760
Speaker 1: That this was an autopen, what is the next step,

595
00:30:10,200 --> 00:30:12,080
Speaker 1: are the pardons null and void?

596
00:30:12,960 --> 00:30:15,200
Speaker 4: Do we just? One simple way would be to ask

597
00:30:15,320 --> 00:30:19,240
Speaker 4: Joe Biden directly and say did you sign these or not? Correct?

598
00:30:20,280 --> 00:30:23,200
Speaker 14: Yeah, oh absolutely, And I think you know that certainly

599
00:30:23,240 --> 00:30:25,320
Speaker 14: could be on the table. I know there's been a

600
00:30:25,400 --> 00:30:28,920
Speaker 14: request by the Attorney General Missouri, Andrew Bailey, to the

601
00:30:29,000 --> 00:30:32,320
Speaker 14: DOJ to investigate, and they could ask that question. I mean,

602
00:30:32,440 --> 00:30:35,000
Speaker 14: I think if it was autopen without by knowing, it

603
00:30:35,160 --> 00:30:38,280
Speaker 14: is clearly invalid. And I think there are a lot

604
00:30:38,360 --> 00:30:41,920
Speaker 14: of people who agree with me that even if it

605
00:30:42,080 --> 00:30:45,960
Speaker 14: was autopen with his knowledge or some variation of the knowledge,

606
00:30:46,200 --> 00:30:48,280
Speaker 14: I know it's about natural gas. I don't know what

607
00:30:48,400 --> 00:30:51,480
Speaker 14: else is in it that it would also be invalid.

608
00:30:51,760 --> 00:30:54,960
Speaker 14: And because the signature is an essential element of the act,

609
00:30:55,960 --> 00:30:58,200
Speaker 14: be it in terms of legislation or be it in

610
00:30:58,360 --> 00:31:01,960
Speaker 14: terms of the executive order, the legal theory is it's

611
00:31:02,160 --> 00:31:06,800
Speaker 14: not just a routine ministerial act. It's significant and that

612
00:31:06,960 --> 00:31:08,920
Speaker 14: makes sense. I mean, let's get at the core of this.

613
00:31:09,080 --> 00:31:12,160
Speaker 14: The core of this is is the president actually competent

614
00:31:12,280 --> 00:31:15,640
Speaker 14: in making his decisions. That's why there's the signature requirement.

615
00:31:16,040 --> 00:31:19,200
Speaker 14: It's not something old and anachronistic. And this happened before.

616
00:31:19,320 --> 00:31:22,560
Speaker 14: I mean when Woodrow Wilson was incapacitated at the end

617
00:31:22,600 --> 00:31:26,680
Speaker 14: of his presidency, there those around him dramatically downsized the

618
00:31:26,760 --> 00:31:29,400
Speaker 14: presidency to cover it up, but there were a few

619
00:31:29,560 --> 00:31:32,520
Speaker 14: orders that were signed by his wife and that created

620
00:31:32,600 --> 00:31:35,720
Speaker 14: legal headaches. Here we have the people around Joe Biden

621
00:31:36,200 --> 00:31:40,640
Speaker 14: bragging about how they expanded the presidency the same time

622
00:31:40,760 --> 00:31:44,240
Speaker 14: he was incompetence. So this is I mean, I'll leave

623
00:31:44,280 --> 00:31:46,560
Speaker 14: you with this on this that the history on this,

624
00:31:47,800 --> 00:31:50,280
Speaker 14: you go back far enough, you can find an example

625
00:31:50,360 --> 00:31:54,320
Speaker 14: where Henry Yates Will was auto stamped and created an

626
00:31:54,360 --> 00:31:57,040
Speaker 14: issue over the succession. The people that affixed the auto

627
00:31:57,120 --> 00:32:01,160
Speaker 14: stamp had to be pardoned for treason. That's how serious

628
00:32:01,320 --> 00:32:04,160
Speaker 14: this was. So that kind of gives you an idea

629
00:32:04,160 --> 00:32:06,400
Speaker 14: of what we're talking about here. It is potentially criminal

630
00:32:06,520 --> 00:32:09,960
Speaker 14: if you forage the president's signature. There's actually an argument

631
00:32:09,960 --> 00:32:11,920
Speaker 14: as treason if you do it with an auto pen

632
00:32:12,040 --> 00:32:12,440
Speaker 14: without him.

633
00:32:12,520 --> 00:32:17,400
Speaker 1: Now, I would argue what one is Look any I'll

634
00:32:17,440 --> 00:32:19,480
Speaker 1: use a legal term for me out there, what would

635
00:32:19,480 --> 00:32:22,080
Speaker 1: a reasonable person think we have to go sign our

636
00:32:22,120 --> 00:32:25,280
Speaker 1: mortgage documents. You don't just have somebody sign without you

637
00:32:25,400 --> 00:32:27,480
Speaker 1: showing up that you sold your house. I mean, you

638
00:32:27,600 --> 00:32:29,200
Speaker 1: have to sign it for a reason. You're there, You

639
00:32:29,320 --> 00:32:32,240
Speaker 1: show ID, yes this is me, and then you have

640
00:32:32,360 --> 00:32:34,840
Speaker 1: a notary of the public stamp, but yes you signed it.

641
00:32:35,320 --> 00:32:38,320
Speaker 1: If that's good for me buying a house in Dallas, Texas,

642
00:32:38,440 --> 00:32:40,360
Speaker 1: it better damn well be good for the President of

643
00:32:40,360 --> 00:32:43,320
Speaker 1: the United States, who's literally had lives at stake for

644
00:32:43,400 --> 00:32:46,120
Speaker 1: every order that he signs. I'll tell you what, Samuel doing,

645
00:32:46,400 --> 00:32:49,520
Speaker 1: this is fabulous work. I hope and pray the mainstream

646
00:32:49,600 --> 00:32:52,480
Speaker 1: media picks this up. I'm not convinced that they will.

647
00:32:53,040 --> 00:32:55,360
Speaker 4: But you know, as much as we can help you

648
00:32:55,480 --> 00:32:57,080
Speaker 4: push this story, you let us know.

649
00:32:58,520 --> 00:33:00,680
Speaker 14: We will do that, and we will keep informed as

650
00:33:00,720 --> 00:33:03,520
Speaker 14: we keep going. And you know, I think the mainstream

651
00:33:03,600 --> 00:33:06,440
Speaker 14: media will do what it will do. But I think

652
00:33:06,520 --> 00:33:08,960
Speaker 14: this is hard to avoid because the point you just made.

653
00:33:09,560 --> 00:33:11,680
Speaker 14: You know, everybody is familiar with having to sign their

654
00:33:11,720 --> 00:33:15,520
Speaker 14: own mortgage themselves, with having to sign driver's life applications themselves.

655
00:33:15,880 --> 00:33:18,960
Speaker 14: Think about the implications. This is too big to ignore

656
00:33:19,600 --> 00:33:23,400
Speaker 14: what was being done in his name when he was

657
00:33:23,520 --> 00:33:25,120
Speaker 14: I mean, anybody could see was out of it.

658
00:33:26,320 --> 00:33:29,040
Speaker 1: Absolutely. Who knows what else is out there? From the

659
00:33:29,080 --> 00:33:31,800
Speaker 1: Heritage Foundation, Samuel Dewey, thank you. I appreciate you coming

660
00:33:31,840 --> 00:33:33,840
Speaker 1: on on this Friday night, and I appreciate.

661
00:33:33,520 --> 00:33:35,400
Speaker 4: You ken Us posted on this. We appreciate it. You

662
00:33:35,520 --> 00:33:38,440
Speaker 4: got it all right, folks. So this is a story.

663
00:33:38,560 --> 00:33:41,680
Speaker 1: Can you imagine if all of these auto signatures, the

664
00:33:41,760 --> 00:33:47,040
Speaker 1: executive orders, the pardons, other actions bills that he signed.

665
00:33:48,160 --> 00:33:51,880
Speaker 1: Did he sign the bills that would make legislation null

666
00:33:51,960 --> 00:33:55,840
Speaker 1: and void? In my opinion, we shall see. And if

667
00:33:55,880 --> 00:34:01,360
Speaker 1: it was fraudulent and forged, you better believe that is treason.

668
00:34:01,960 --> 00:34:03,960
Speaker 1: You know what the punishment for that is. And we

669
00:34:04,080 --> 00:34:07,600
Speaker 1: know the people around him. This is bad, really is

670
00:34:08,320 --> 00:34:10,279
Speaker 1: all right, folks. You don't buy a life jacket when

671
00:34:10,320 --> 00:34:13,480
Speaker 1: the boat is sinking, or gold when the economy has collapsed.

672
00:34:13,520 --> 00:34:16,080
Speaker 1: In fact, gold hit all time highs in twenty twenty five,

673
00:34:16,640 --> 00:34:19,359
Speaker 1: proving that others took this advice. But it's not too

674
00:34:19,480 --> 00:34:21,920
Speaker 1: late for you to act and birch gold can help you.

675
00:34:22,239 --> 00:34:25,040
Speaker 1: Birch Gold could get you diversified into physical gold. They

676
00:34:25,080 --> 00:34:27,440
Speaker 1: helped convert your IRA or four to one k into

677
00:34:27,520 --> 00:34:31,280
Speaker 1: a tax sheltered gold IRA with no cash out of pocket.

678
00:34:31,680 --> 00:34:34,359
Speaker 1: Text America to the number nine eight nine eight nine

679
00:34:34,440 --> 00:34:37,680
Speaker 1: eight for a free info hit with no obligation and

680
00:34:37,840 --> 00:34:40,280
Speaker 1: with an A plus Better Business Bureau rating.

681
00:34:40,600 --> 00:34:44,440
Speaker 4: Birch Gold secures your future with gold. All right.

682
00:34:44,480 --> 00:34:48,440
Speaker 1: Democrats in New Hampshire are proving yet again they are

683
00:34:48,560 --> 00:34:52,400
Speaker 1: the anti woman party. Wait till you see their antics

684
00:34:52,480 --> 00:35:04,600
Speaker 1: from the state House next, folks, I want to take

685
00:35:04,640 --> 00:35:06,960
Speaker 1: you out to the New Hampshire State House. This is

686
00:35:07,000 --> 00:35:13,640
Speaker 1: a Republican state representative talking about transgenderism and allowing transgender

687
00:35:13,960 --> 00:35:15,880
Speaker 1: men to take over women spaces.

688
00:35:16,000 --> 00:35:20,160
Speaker 9: Listen, Austin Nation, let the women working in garment shops

689
00:35:20,239 --> 00:35:23,440
Speaker 9: know they were not alone, that they need not be silent,

690
00:35:24,440 --> 00:35:27,239
Speaker 9: that they need not accept danger just to make men

691
00:35:27,400 --> 00:35:28,080
Speaker 9: more comfortable.

692
00:35:29,440 --> 00:35:30,640
Speaker 15: We have a choice to make.

693
00:35:30,960 --> 00:35:34,680
Speaker 9: Our children and grandchildren are watching Member Wills.

694
00:35:35,239 --> 00:35:36,440
Speaker 3: The member will suspend.

695
00:35:40,680 --> 00:35:41,360
Speaker 8: Somebody needs to do.

696
00:35:43,200 --> 00:35:47,720
Speaker 9: I object, and I listened all my consent representatives consent.

697
00:35:47,880 --> 00:35:49,760
Speaker 16: Representative Murray withdraws her consent.

698
00:35:50,800 --> 00:35:53,600
Speaker 1: All right, they stop her from speaking then they got

699
00:35:53,719 --> 00:35:56,160
Speaker 1: to will vote on whether or not to let her speak.

700
00:35:57,000 --> 00:35:59,680
Speaker 16: This is how that goes down, undred seventy one to

701
00:35:59,719 --> 00:36:14,000
Speaker 16: go to the House will being ordered enough, I'll let

702
00:36:14,040 --> 00:36:14,520
Speaker 16: her speak.

703
00:36:16,400 --> 00:36:19,160
Speaker 4: So the speaker tries to get the Democrats under control.

704
00:36:19,200 --> 00:36:21,040
Speaker 4: Who go hogwild? And what do you think happens?

705
00:36:21,239 --> 00:36:23,600
Speaker 1: Oh, the whiny little Democrats like they do in Washington.

706
00:36:23,680 --> 00:36:26,319
Speaker 1: Remember I tell you every state House is a microcosm

707
00:36:26,360 --> 00:36:26,840
Speaker 1: of DC.

708
00:36:27,880 --> 00:36:41,880
Speaker 4: They walk out. Well, she got to finish her speech.

709
00:36:42,040 --> 00:36:44,160
Speaker 4: That's the good news. She also gets to come on

710
00:36:44,239 --> 00:36:45,440
Speaker 4: Real America's Voice with me.

711
00:36:45,520 --> 00:36:49,319
Speaker 1: Now New Hampshire State Representative Erica Land is with us.

712
00:36:49,480 --> 00:36:51,440
Speaker 1: Who was at the center of attention there in the

713
00:36:51,480 --> 00:36:55,440
Speaker 1: state House. Representative Land, great, great to have you on tonight.

714
00:36:56,160 --> 00:36:58,560
Speaker 15: Thanks for having me on tonight, Grant, I really appreciate it.

715
00:36:59,480 --> 00:37:02,960
Speaker 1: All right, explain to me what's going through your mind

716
00:37:03,000 --> 00:37:04,319
Speaker 1: as all this starts to play out.

717
00:37:05,320 --> 00:37:07,400
Speaker 15: So the first thing is, I wasn't up there with

718
00:37:07,520 --> 00:37:11,080
Speaker 15: the intention of talking about transgenderism. It's Women's History Month,

719
00:37:11,120 --> 00:37:15,239
Speaker 15: and women are being silenced to make other people feel comfortable. Yes,

720
00:37:15,360 --> 00:37:18,399
Speaker 15: that's a very big issue with trans genderism, but there's

721
00:37:18,440 --> 00:37:20,880
Speaker 15: a lot more where women are asked to be quiet,

722
00:37:21,520 --> 00:37:23,960
Speaker 15: just to make sure that we're not hurting other people's feelings.

723
00:37:24,880 --> 00:37:27,719
Speaker 15: So I was up there, I was speaking about the

724
00:37:27,880 --> 00:37:30,880
Speaker 15: history and the fact that women need to be quiet

725
00:37:30,920 --> 00:37:33,200
Speaker 15: in order to protect other people's feelings. And then as

726
00:37:33,239 --> 00:37:36,640
Speaker 15: soon as I was speaking about how the garment shop workers,

727
00:37:36,719 --> 00:37:39,320
Speaker 15: those men had placed the women at risk back a

728
00:37:39,560 --> 00:37:42,800
Speaker 15: hundred years ago when unions were first taking hold, that

729
00:37:42,920 --> 00:37:46,160
Speaker 15: they objected because they were projecting their own insecurities on

730
00:37:46,280 --> 00:37:49,279
Speaker 15: what I was saying. And quite frankly, I was disappointed.

731
00:37:49,400 --> 00:37:51,319
Speaker 15: I thought we'd do it better in New Hampshire than

732
00:37:51,360 --> 00:37:54,120
Speaker 15: in DC, but it wasn't the people that I usually

733
00:37:54,160 --> 00:37:57,120
Speaker 15: work with there. It felt like Tuesday Night in the

734
00:37:57,160 --> 00:37:59,520
Speaker 15: President's address to the Joint Union, not the way we

735
00:37:59,600 --> 00:38:01,320
Speaker 15: normally work together in New Hampshire.

736
00:38:02,280 --> 00:38:04,239
Speaker 4: You know, I can't help but think too.

737
00:38:04,680 --> 00:38:07,560
Speaker 1: I mean, you're a young woman up there speaking and

738
00:38:07,600 --> 00:38:10,080
Speaker 1: they're supposed to be feminists and don't silence the women,

739
00:38:10,239 --> 00:38:12,040
Speaker 1: and it's exactly what they did to you.

740
00:38:14,040 --> 00:38:16,440
Speaker 15: It is, and it's just wild that they did not

741
00:38:16,600 --> 00:38:20,239
Speaker 15: want me to continue speaking. My whole point is that

742
00:38:20,360 --> 00:38:22,800
Speaker 15: women have been told to be nice, to be quiet,

743
00:38:23,239 --> 00:38:26,239
Speaker 15: to sit down, don't hurt people's feelings, So don't pay

744
00:38:26,280 --> 00:38:30,200
Speaker 15: attention to your own feelings, and look where that's gotten.

745
00:38:30,680 --> 00:38:33,920
Speaker 15: Look what's happened in locker rooms, looks what's happened to

746
00:38:34,000 --> 00:38:36,720
Speaker 15: our children, and it's time for women to regain our voices.

747
00:38:37,320 --> 00:38:40,600
Speaker 15: Their reaction shows how important it is for all of

748
00:38:40,719 --> 00:38:43,360
Speaker 15: us to stand up and speak, because if we don't speak,

749
00:38:43,400 --> 00:38:46,440
Speaker 15: we don't know how much opposition there is. But more importantly,

750
00:38:46,800 --> 00:38:49,320
Speaker 15: we don't know how many people are with us and

751
00:38:49,480 --> 00:38:52,440
Speaker 15: want us speaking and standing up and speaking to the truth.

752
00:38:52,520 --> 00:38:55,280
Speaker 4: Well, look, this is the whole point of this program

753
00:38:55,440 --> 00:38:56,040
Speaker 4: is boldness.

754
00:38:56,360 --> 00:38:59,440
Speaker 1: I want bold people out there, bold leaders, bold individuals,

755
00:38:59,480 --> 00:39:02,080
Speaker 1: bold vogte. I know everybody can't be bold, but if

756
00:39:02,080 --> 00:39:04,239
Speaker 1: we don't have bold people doing things like you're doing

757
00:39:04,320 --> 00:39:06,640
Speaker 1: and standing up to this mob, which is what they were,

758
00:39:07,200 --> 00:39:09,399
Speaker 1: let me play a clip from one of the mob

759
00:39:09,480 --> 00:39:12,920
Speaker 1: stirrs who tried to silence you and their argument.

760
00:39:13,000 --> 00:39:13,160
Speaker 4: Here.

761
00:39:14,040 --> 00:39:16,400
Speaker 17: If I know that I've been teaching women's history at

762
00:39:16,480 --> 00:39:19,120
Speaker 17: the college level for more than twenty years, and if

763
00:39:19,200 --> 00:39:22,440
Speaker 17: I believe that we do not need to denigrate or

764
00:39:22,520 --> 00:39:25,920
Speaker 17: diminish any of our fellow granted staters in order to

765
00:39:26,000 --> 00:39:29,840
Speaker 17: celebrate and honor women's history. When I now press the

766
00:39:29,960 --> 00:39:31,719
Speaker 17: red red button to bring.

767
00:39:31,680 --> 00:39:37,560
Speaker 11: This to an end, do you recognize this representative.

768
00:39:37,040 --> 00:39:40,600
Speaker 12: Lay on for a parliamentary quart Mister speaker.

769
00:39:41,080 --> 00:39:43,840
Speaker 15: If I know that this vote is whether or not

770
00:39:44,160 --> 00:39:47,680
Speaker 15: we are going to silence women, would I then press

771
00:39:47,800 --> 00:39:48,560
Speaker 15: the red button.

772
00:39:50,400 --> 00:39:54,520
Speaker 4: It's a great it's a great comeback. They ended up losing.

773
00:39:54,600 --> 00:39:56,520
Speaker 1: Can you tell me how does the State House set

774
00:39:56,640 --> 00:39:59,160
Speaker 1: up Republicans or Democrats in control.

775
00:39:59,520 --> 00:40:02,040
Speaker 4: I'm glad they lost it. I'm glad you got to continue.

776
00:40:03,000 --> 00:40:03,480
Speaker 3: Well, thank you.

777
00:40:03,600 --> 00:40:05,680
Speaker 15: New Hampshire is a very small state with one point

778
00:40:05,760 --> 00:40:08,960
Speaker 15: four million people, but we're the third largest legislature in

779
00:40:09,040 --> 00:40:11,600
Speaker 15: the English speaking world. There's four hundred of us. That's

780
00:40:11,640 --> 00:40:13,040
Speaker 15: why that room was so large.

781
00:40:13,880 --> 00:40:14,840
Speaker 4: We now have a.

782
00:40:14,880 --> 00:40:17,960
Speaker 15: Majority of about twenty Republicans. I think it's around two

783
00:40:18,000 --> 00:40:20,800
Speaker 15: twenty to one to eighty. I should know the numbers better,

784
00:40:21,000 --> 00:40:23,200
Speaker 15: but after being in years where it was literally a

785
00:40:23,280 --> 00:40:26,440
Speaker 15: difference of one person, this feels like the largest margin

786
00:40:26,480 --> 00:40:31,759
Speaker 15: I can imagine. So we have a Republican majority. We

787
00:40:32,000 --> 00:40:34,360
Speaker 15: have a lot of good work being relationships. I was

788
00:40:34,400 --> 00:40:37,480
Speaker 15: actually really disappointed with that because Representative of Jermana and

789
00:40:37,560 --> 00:40:40,719
Speaker 15: I have worked together on quite a few issues. Yet

790
00:40:40,920 --> 00:40:44,160
Speaker 15: he didn't believe that I'd be speaking in a kind

791
00:40:44,280 --> 00:40:46,600
Speaker 15: truthful way about the fact that women are silenced, and

792
00:40:46,680 --> 00:40:48,960
Speaker 15: he got up there and tried to remove my permission

793
00:40:49,000 --> 00:40:49,360
Speaker 15: to speak.

794
00:40:50,680 --> 00:40:52,799
Speaker 1: Well, there was nothing out of line that you said.

795
00:40:52,920 --> 00:40:56,200
Speaker 1: Everything you said was simply truth and common sense. And

796
00:40:56,360 --> 00:40:58,560
Speaker 1: they don't want to hear it. I'm telling you, this party,

797
00:40:58,640 --> 00:41:02,880
Speaker 1: the Democrats, is in clothing before our eyes. They showed

798
00:41:02,880 --> 00:41:05,160
Speaker 1: their colors in the New Hampshire State House, they showed

799
00:41:05,200 --> 00:41:08,719
Speaker 1: their colors in the halls of Congress. And you know,

800
00:41:08,800 --> 00:41:11,000
Speaker 1: if there's anything that came out of this, you're shining

801
00:41:11,040 --> 00:41:14,080
Speaker 1: the light on that representative layon and we appreciate it,

802
00:41:14,200 --> 00:41:15,920
Speaker 1: and we certainly appreciate you coming on tonight.

803
00:41:16,760 --> 00:41:19,000
Speaker 15: Thank you so much. I mean, Republicans are the party

804
00:41:19,040 --> 00:41:22,279
Speaker 15: of reality nowadays, it sure is.

805
00:41:22,680 --> 00:41:27,400
Speaker 1: And again thank you for helping helping them show the

806
00:41:27,560 --> 00:41:30,600
Speaker 1: world just how much reality we have and not so

807
00:41:30,719 --> 00:41:31,800
Speaker 1: much for these Democrats.

808
00:41:32,320 --> 00:41:34,880
Speaker 4: All right, you need to join AMAC, the Association of

809
00:41:34,960 --> 00:41:38,320
Speaker 4: Mature American Citizens, right now. Do it? Okay, I'm not kidding.

810
00:41:38,600 --> 00:41:40,839
Speaker 1: If you care about your country, your freedom, your hard

811
00:41:40,880 --> 00:41:44,000
Speaker 1: earned money, then AMAC is the organization that fights for you.

812
00:41:44,560 --> 00:41:48,200
Speaker 1: Unlike the other so called senior organizations out there, AMAX

813
00:41:48,200 --> 00:41:52,480
Speaker 1: stands for conservative values, limited government, lower taxes, protecting social security,

814
00:41:52,840 --> 00:41:54,239
Speaker 1: and defending the Constitution.

815
00:41:54,360 --> 00:41:54,960
Speaker 4: And listen to this.

816
00:41:55,160 --> 00:41:57,400
Speaker 1: Right now, you can sign up for a five year

817
00:41:57,520 --> 00:42:01,480
Speaker 1: membership for just thirty one dollars. It's normally sixty bucks, folks,

818
00:42:01,520 --> 00:42:03,680
Speaker 1: so don't miss out on this limited time offer.

819
00:42:03,760 --> 00:42:05,120
Speaker 4: I'm a member and proud of it.

820
00:42:05,280 --> 00:42:09,160
Speaker 1: Visit AMAC dot us forward slash grant to join today.

821
00:42:09,239 --> 00:42:12,320
Speaker 1: That's AMAC dot us forward slash grant.

822
00:42:12,920 --> 00:42:13,239
Speaker 4: All right.

823
00:42:13,320 --> 00:42:19,279
Speaker 1: President Trump today spoke on some truth spoken. What do

824
00:42:19,360 --> 00:42:31,600
Speaker 1: we got The nation's job numbers coming up next? Real

825
00:42:31,719 --> 00:42:34,799
Speaker 1: good news on manufacturing jobs. Gained about ten thousand of them.

826
00:42:34,840 --> 00:42:36,800
Speaker 1: This is President Trump today in the Oval Office.

827
00:42:37,520 --> 00:42:43,440
Speaker 18: During the last year he fitened, administration, saw a loss

828
00:42:43,520 --> 00:42:47,880
Speaker 18: of more than one hundred and ten thousand manufacturing jobs,

829
00:42:47,960 --> 00:42:53,000
Speaker 18: or are nine thousand manufacturing jobs every single month. It

830
00:42:53,080 --> 00:42:55,440
Speaker 18: average about nine thousand a month, one hundred and ten

831
00:42:55,560 --> 00:42:58,840
Speaker 18: thousand manufacturing jobs. During the first full month in office.

832
00:42:59,520 --> 00:43:04,200
Speaker 18: We've done stopped that manufacturing collapse, but we've begun to

833
00:43:04,360 --> 00:43:08,440
Speaker 18: rapidly reverse it and get major games.

834
00:43:08,600 --> 00:43:09,720
Speaker 3: We created ten.

835
00:43:09,600 --> 00:43:12,600
Speaker 18: Thousand manufacturing jobs in February alone.

836
00:43:15,200 --> 00:43:17,279
Speaker 1: That's gonna only increase as you see some of these

837
00:43:17,320 --> 00:43:20,120
Speaker 1: factories in Mexico, like we saw Honda moving to the

838
00:43:20,239 --> 00:43:23,080
Speaker 1: United States to build cars here. Those jobs are going

839
00:43:23,160 --> 00:43:24,560
Speaker 1: to increase, Thank you, mister President.

840
00:43:25,120 --> 00:43:26,480
Speaker 4: Now back to an update on that story.

841
00:43:26,560 --> 00:43:30,680
Speaker 1: Remember that fighting video Democrat so cringey wanted to pretend

842
00:43:30,800 --> 00:43:33,160
Speaker 1: like they're I don't know, video game fighters fighting for

843
00:43:33,280 --> 00:43:33,919
Speaker 1: you in DC.

844
00:43:34,320 --> 00:43:34,759
Speaker 4: Remember this.

845
00:43:42,440 --> 00:43:46,600
Speaker 1: It's awful, right, I mean absolutely awful. When I tell

846
00:43:46,600 --> 00:43:49,320
Speaker 1: you they're employing their employees. They do not understand what

847
00:43:49,440 --> 00:43:52,440
Speaker 1: the American people want. They don't want cringe corniness like this.

848
00:43:53,239 --> 00:43:56,960
Speaker 4: Well, the White House President Trump's social media team's brilliant.

849
00:43:57,280 --> 00:44:13,000
Speaker 4: They released this video. Who do you think fighting for you? Okay?

850
00:44:13,560 --> 00:44:16,359
Speaker 1: These are real fighters they have in the White House

851
00:44:16,440 --> 00:44:21,680
Speaker 1: and guess what not corny stupid dancing Mike Tyson punch

852
00:44:21,719 --> 00:44:26,600
Speaker 1: out boxers. Okay, even Jimmy Kimmel made fun of the

853
00:44:26,680 --> 00:44:27,400
Speaker 1: Democrats for that.

854
00:44:27,520 --> 00:44:35,239
Speaker 4: You know what's bad when Jimmy Kimmel makes fun of you. Yeah,

855
00:44:35,320 --> 00:44:37,279
Speaker 4: we're not gonna stand back and take it, and we're

856
00:44:37,320 --> 00:44:37,799
Speaker 4: gonna fight.

857
00:44:40,320 --> 00:44:44,480
Speaker 2: What is that supposed to do besides embarrass everyone involved

858
00:44:44,520 --> 00:44:44,719
Speaker 2: with it?

859
00:44:44,800 --> 00:44:50,120
Speaker 1: It's see and at least he said we as he's

860
00:44:50,200 --> 00:44:51,760
Speaker 1: part of the Democrat elite.

861
00:44:52,560 --> 00:44:53,640
Speaker 4: They're not fighters.

862
00:44:54,160 --> 00:44:56,640
Speaker 1: They're used to having the media fight their battles for them.

863
00:44:56,680 --> 00:44:58,800
Speaker 1: They're used to having the deep state fight their battles

864
00:44:58,840 --> 00:45:01,160
Speaker 1: for them. And guess what, the deep state is being

865
00:45:01,239 --> 00:45:04,600
Speaker 1: crushed and the media has been exposed, so that leaves

866
00:45:04,640 --> 00:45:07,040
Speaker 1: the lawmakers out there to fight their own battles.

867
00:45:07,600 --> 00:45:09,359
Speaker 4: It's not working so well for them.

868
00:45:10,680 --> 00:45:13,239
Speaker 1: You know what, though, President Trump did. I want to

869
00:45:13,440 --> 00:45:15,399
Speaker 1: turn it around a little bit. President Trump did talk

870
00:45:15,400 --> 00:45:16,319
Speaker 1: about Ukraine today.

871
00:45:16,360 --> 00:45:18,040
Speaker 4: Our own Brian Glenn and the White.

872
00:45:17,880 --> 00:45:21,040
Speaker 1: House corresponding making lots of news. Always ask the President

873
00:45:21,040 --> 00:45:21,800
Speaker 1: about Ukraine.

874
00:45:22,040 --> 00:45:25,240
Speaker 4: Listen to this. I don't think any other European countries

875
00:45:25,280 --> 00:45:28,920
Speaker 4: are offering a peace still. It seems like no one's

876
00:45:29,280 --> 00:45:31,800
Speaker 4: come to the table for peace except for you.

877
00:45:32,719 --> 00:45:39,080
Speaker 18: Yeah, it's a very good question. Sometimes questions are answerable.

878
00:45:40,320 --> 00:45:43,600
Speaker 18: They're in a very unusual position. They don't know how

879
00:45:43,640 --> 00:45:44,120
Speaker 18: to end the war.

880
00:45:45,120 --> 00:45:46,560
Speaker 4: I think I do know how to end the war.

881
00:45:48,480 --> 00:45:50,880
Speaker 18: Despite the Russian Russian Russia hoaks. I've always had a

882
00:45:50,880 --> 00:45:52,240
Speaker 18: good relationship with poop.

883
00:45:55,760 --> 00:45:58,440
Speaker 4: I love it. Brian. Here's my advice to you, you

884
00:45:58,600 --> 00:45:59,959
Speaker 4: keep asking questions.

885
00:45:59,680 --> 00:46:01,960
Speaker 1: Like that, you're gonna be riding next to the president

886
00:46:02,200 --> 00:46:05,120
Speaker 1: don air forts one. Just keep teeing it up for

887
00:46:05,239 --> 00:46:07,279
Speaker 1: him and don't be shy about it, which I know,

888
00:46:07,360 --> 00:46:11,160
Speaker 1: Brian isn't. We know what side real America's voice is on, right,

889
00:46:11,200 --> 00:46:11,600
Speaker 1: and we're not.

890
00:46:11,680 --> 00:46:13,920
Speaker 4: Shy about it. That's the difference. We don't fake it.

891
00:46:14,560 --> 00:46:18,000
Speaker 1: The other media outlets they fake it all right. Up

892
00:46:18,120 --> 00:46:22,000
Speaker 1: next the View spouting more crazy today.

893
00:46:22,480 --> 00:46:34,280
Speaker 4: That's a new one. Welcome back everyone.

894
00:46:34,600 --> 00:46:37,600
Speaker 1: So the View now, by the way, is going to

895
00:46:37,640 --> 00:46:39,799
Speaker 1: have some competition. By the way, CBS is starting one

896
00:46:39,840 --> 00:46:43,560
Speaker 1: of these shows with a couple of conservative women. But

897
00:46:43,719 --> 00:46:47,759
Speaker 1: this is Sonny Houston. She's frustrated with Democrats. Just take

898
00:46:47,760 --> 00:46:48,239
Speaker 1: a look at this.

899
00:46:49,000 --> 00:46:52,960
Speaker 7: But at didn't unite them all because ten Democrats voted

900
00:46:53,040 --> 00:46:54,200
Speaker 7: to censure Green.

901
00:46:54,400 --> 00:46:56,799
Speaker 19: Wow, do you want to do you wanna a list

902
00:46:56,840 --> 00:46:57,200
Speaker 19: of the ten?

903
00:46:57,320 --> 00:46:58,520
Speaker 4: Do you want to hear their name? Yes?

904
00:46:58,600 --> 00:46:58,800
Speaker 3: I do?

905
00:46:59,440 --> 00:46:59,680
Speaker 15: Yeah?

906
00:47:00,280 --> 00:47:02,680
Speaker 4: Why go after them too? Go after them because they

907
00:47:02,760 --> 00:47:04,360
Speaker 4: don't know how.

908
00:47:04,400 --> 00:47:07,480
Speaker 19: To fight and be part of an opposition party.

909
00:47:08,000 --> 00:47:10,680
Speaker 14: Representative Green gave them the example.

910
00:47:10,920 --> 00:47:14,480
Speaker 19: The Democrats are not meeting the moment. It is very

911
00:47:14,600 --> 00:47:16,719
Speaker 19: clear that medicaid is on the table. It is very

912
00:47:16,760 --> 00:47:18,520
Speaker 19: clear that social security is on the table. It is

913
00:47:18,600 --> 00:47:21,560
Speaker 19: very clear that people will die. The baby boomers, the

914
00:47:21,600 --> 00:47:24,400
Speaker 19: civil rights generation, they knew what they had to do.

915
00:47:24,480 --> 00:47:27,120
Speaker 19: They were willing to fight and die for their rights.

916
00:47:27,480 --> 00:47:29,120
Speaker 3: This night would work her anymore.

917
00:47:29,320 --> 00:47:31,400
Speaker 4: I just shut her up. Here's the thing.

918
00:47:31,400 --> 00:47:33,320
Speaker 1: If I'm gonna be intellectually honest, what if one of

919
00:47:33,400 --> 00:47:37,320
Speaker 1: my guys did that to Joe Biden. You know, Marjorie

920
00:47:37,360 --> 00:47:40,040
Speaker 1: Taylor Green yelled out liar, But she did it once

921
00:47:40,120 --> 00:47:41,879
Speaker 1: and then and then when quiet, let.

922
00:47:41,840 --> 00:47:44,320
Speaker 4: Him continue his speech. I'm okay with that.

923
00:47:45,040 --> 00:47:47,439
Speaker 1: I'm not okay with shutting it down for as long

924
00:47:47,480 --> 00:47:49,759
Speaker 1: as they did, and the American public aren't.

925
00:47:49,800 --> 00:47:51,440
Speaker 4: Either of the view should know that since you