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Speaker 1: Getting to everyone, Welcome to Stinchfield.

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Speaker 2: One of the things that crushed America was the over

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Speaker 2: regulation of just about everything. This could be seen throughout

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Speaker 2: the Obama administration, certainly the Biden administration, and today President

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Speaker 2: Trump signed what could be the largest rollback of regulatory

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Speaker 2: actions in modern American history. He specifically targeted climate change

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Speaker 2: actions taken during the Obama administration, including that annoying requirement

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Speaker 2: that when you stop at a light, your car shuts off,

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Speaker 2: and if you don't want that to happen, you got

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Speaker 2: to hit the little button. Well, that will not be

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Speaker 2: mandated on cars anymore. That in a whole slew of

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Speaker 2: policies and regulations that President Trump rolled back with the

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Speaker 2: stroke of a pen.

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Speaker 3: During my campaign, I promised to cut ten old regulations

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Speaker 3: for every new regulation, and we've exceeded that. We've instead

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Speaker 3: done it ten regulations. We were able to cut one

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Speaker 3: hundred and twenty nine. The biggest one yet that we've

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Speaker 3: done is happening right now.

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Speaker 1: I love it.

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Speaker 2: Lee Zelden himself, the EPA Administrator, may be the most

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Speaker 2: consequential leader of the EPA also in recent American history.

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Speaker 2: He's the one behind many of these ideas you know,

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Speaker 2: these greenhouse gases, trying to regulate missions and all these

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Speaker 2: It has been proven over and over again it has

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Speaker 2: had no effect what happens in the United States on

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Speaker 2: the environment, on the atmosphere, on these greenhouse gases because

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Speaker 2: of other countries. So we crush our economy for what

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Speaker 2: for nothing? Thank you President Trump for fixing that. Now

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Speaker 2: to the Save Act. The Save Act is about you

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Speaker 2: have to be an American citizen before you vote. I

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Speaker 2: think most people were surprised months ago to learn, yeah,

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Speaker 2: you know what, I never actually had to prove that

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Speaker 2: that's that's not right.

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Speaker 1: Well, the Save Act now has a new name.

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Speaker 3: It's called the Save America Act. We've changed your name.

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Speaker 3: It's the Save America Act. And the Democrats are against.

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Speaker 2: It because they don't want to save America, mister President.

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Speaker 1: They want to tear it down.

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Speaker 2: Now, what's added to it a voter ID requirement, right,

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Speaker 2: mister President.

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Speaker 3: So you have a vote, you have an ID that's

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Speaker 3: about a ninety nine percent one and I think with Democrats,

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Speaker 3: then you have confirmation US citizenship that's about a nine

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Speaker 3: nine one with Republicans, about eighty six percent with Democrats.

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Speaker 3: Except Democrat politicians because they cheat on elections and then

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Speaker 3: you have no mail in ballots.

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Speaker 2: All of this will stop the fraud. It will stop

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Speaker 2: the cheating.

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Speaker 1: And he is right.

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Speaker 2: Well over eighty percent of America supports this idea of

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Speaker 2: voter ID, including blacks and Hispanics right up there at

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Speaker 2: eighty percent. This may be the most bypart is in

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Speaker 2: agreement of voters in American is you can't get eighty

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Speaker 2: percent of America's degree on anything.

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Speaker 1: But you can with voter ID.

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Speaker 2: Except as the President said, accept those Democrat leaders because

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Speaker 2: their little flock of blind liberal zombies have no idea

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Speaker 2: the cheating is going on. See the leaders do, and

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Speaker 2: the leaders know that if you institute proving your an

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Speaker 2: American citizen, no more mail in ballots, and you institute

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Speaker 2: showing voter ID, well they're not gonna win elections anymore

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Speaker 2: because they win by cheating.

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Speaker 1: This is Senator Mike Lee.

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Speaker 4: We now have nearly every state issuing driver's licenses to

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Speaker 4: non citizens. Many You've got I think nineteen states willing

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Speaker 4: to issue driver's licenses even to known illegal immigrants. That's

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Speaker 4: what makes this necessary because the whole point of the

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Speaker 4: MVRA was to allow people to register automatically to vote.

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Speaker 1: When they apply for a driver's.

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Speaker 4: License, all they have to do is check a box

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Speaker 4: saying I want to register to vote and sign their

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Speaker 4: name certifying by the way, I'm eligible to vote.

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Speaker 1: That's a problem, it sure is.

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Speaker 2: And again how many times do I say anybody with

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Speaker 2: common sense would understand this, Well, the only reason you

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Speaker 2: don't understand is if you want to cheat. Now, they

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Speaker 2: don't have a good reason as to why they don't

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Speaker 2: want this, so they fabricate this nonsense that I actually

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Speaker 2: think is racist. They say that it disenfranchises voters, as

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Speaker 2: if Americans of color can't figure out how to to

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Speaker 2: get a passport or their burst certificate.

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Speaker 1: Only white people can figure this out. That's racist.

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Speaker 2: Ken Jennings over at CNN confronted the wacky Left panel.

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Speaker 1: He sits in on what.

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Speaker 5: Voting rights is he taking away from black voters?

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Speaker 6: Oh, if we look at let's say that that's exactly

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Speaker 6: what we're talking about, that is actually going to continue

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Speaker 6: to disenfranchise overwhelmingly a lot of people of color. There

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Speaker 6: are so many civil rights organizations that have run the data.

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Speaker 6: If we look at the way that it is going

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Speaker 6: to disenfranchise black voters, it's the same reason why Chuck

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Speaker 6: Schumer called a Jim Crow two points out. So this

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Speaker 6: is the same present.

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Speaker 2: If we want to contention, Elliott, I would like to

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Speaker 2: know how so literally, what you're saying is black people

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Speaker 2: can't get passports.

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Speaker 1: Black people can't go down to the county court. How's

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Speaker 1: it get the birth certificate? Really? But white people can.

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Speaker 1: That's what you're saying.

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Speaker 2: You white folks out there, you're good because you can

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Speaker 2: make your way to the county court has But black folks,

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Speaker 2: I'm sorry. It is so racist, it's so demeaning, and

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Speaker 2: quite frankly, Americans of color ought to be outraged by

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Speaker 2: the Democrat Party. So this then now comes to the

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Speaker 2: funding battle that's going on in Washington. The Democrats do

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Speaker 2: not want to negotiate on this. All they want to

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Speaker 2: do is make excuses about why they can't vote even

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Speaker 2: for another continuing resolution.

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Speaker 1: It's only about four percent of the government.

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Speaker 2: By the way, DHS Department of Homeland Security just today

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Speaker 2: they said we're not going to negotiate. We're not even

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Speaker 2: gonna extend it for another ten days. While we can

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Speaker 2: now remember this was a deal they already agreed to.

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Speaker 2: There is one sane Democrat. Now, I don't agree with

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Speaker 2: him on much, but I will say he does come

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Speaker 2: to the table at least willing to talk. And I'm

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Speaker 2: talking about John Fetterman, the Senator from Pennsylvania.

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Speaker 7: Hi, as I committed Democrat, I went the same changes

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Speaker 7: that every other Democrat wants to make on ICE. But

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Speaker 7: ICE already has seventy five billion dollars in funding from

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Speaker 7: the big beautiful bill that I did not vote for.

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Speaker 7: So what it will impact is that will shut down

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Speaker 7: important parts of DHS.

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Speaker 2: All right, So as he said, I've already agreed, just

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Speaker 2: get it done. Well, here now to discuss all of

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Speaker 2: this is Republican Congressman from Texas Michael Cloud is with US.

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Speaker 1: Congressman, great to have you on the program.

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Speaker 5: Thanks going to be with you. A greetings from South Texas.

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Speaker 1: Well.

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Speaker 2: It's good to have a fellow Texan on the program always.

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Speaker 1: Congressman.

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Speaker 2: First off, let me ask you about the budget battle

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Speaker 2: and DHS. Your thoughts on if this gets done. I

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Speaker 2: just don't see Democrats budgeting on this unfortunately.

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Speaker 8: You know, this has become the political football for them.

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Speaker 5: You know they say that the questions Ice, but we

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Speaker 5: know ICE is already funded in the one big beautiful bill.

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Speaker 5: So really what gets hurt here is the Coastguard, TSA,

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Speaker 5: you know, other security programs for our country. And you know,

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Speaker 5: this is again a political football for them. They've got

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Speaker 5: no agenda to run on, they've got no vision for America.

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Speaker 5: This is what they're left with is holding up the

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Speaker 5: funding for DHS.

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Speaker 2: Congressman, the House has done its job. You've passed this

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Speaker 2: through the Senate. Now has it John Thune I've said,

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Speaker 2: I don't know if he's a nice guy or not.

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Speaker 1: I've never met the man before.

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Speaker 2: But he always seems to be like kind of walking

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Speaker 2: back the possibility of the Save Act getting passed, the

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Speaker 2: budget thing going through. He just doesn't seem to have

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Speaker 2: the gumption to make something happen that Republicans want to happen.

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Speaker 1: How do we get around.

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Speaker 8: That, Well, we're working through that. Today.

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Speaker 5: He did sponsor the Save America Act, so that's a

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Speaker 5: big step forward. We had a couple more Senate co

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Speaker 5: sponsors come on board, and the American people calling and

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Speaker 5: talking to their senators and saying this really needs to

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Speaker 5: get done. I mean, this is obviously not a partisan issue,

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Speaker 5: where but the halls of Congress and the political elite

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Speaker 5: who are trying to force their agenda upon the American

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Speaker 5: people through fraudlent elections. And so this is a very

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Speaker 5: clear issue for Americans across the spectrum, across the voting

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Speaker 5: spectrum that this needs to happen.

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Speaker 8: They want secure elections.

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Speaker 5: We just got to keep putting the pressure on and

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Speaker 5: get enough Senators to do the right thing. This process

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Speaker 5: was done in a way that it removes one of

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Speaker 5: the hurdles in the Senate that could tie up some time.

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Speaker 5: And so if we can work around, you know, this idea,

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Speaker 5: what they call it a filibuster, But it's not like

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Speaker 5: you and I think of when we think of mister

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Speaker 5: Smith goes to Washington. They basically just kind of put

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Speaker 5: a hold on it, you know, from their cozy office,

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Speaker 5: as opposed to going out there and actually making their

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Speaker 5: case to the American people. So they could force a

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Speaker 5: talking filibuster to where the Senate actually had to go

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Speaker 5: out there and explain why they're supporting or opposing such

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Speaker 5: common sense, common sense solution for our elections and let

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Speaker 5: the American people decide what they think about it. But

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Speaker 5: so we're going to continue to advocate for that I

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Speaker 5: know America is as well, and that's really the path

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Speaker 5: forward on this issue.

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Speaker 2: So this is where I've seen Thoon kind of be

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Speaker 2: very squashy on this talking filibuster.

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Speaker 1: I'd love to see that.

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Speaker 2: I would love to see Democrats try to stand up

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Speaker 2: there for hours and explain this rather than black people

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Speaker 2: can't get a passport and married women are going to

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Speaker 2: have trouble voting. That's all they have on this stuff.

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Speaker 2: I don't think Thune's.

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Speaker 1: Gonna do it.

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Speaker 2: Do you think we get to a point where we

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Speaker 2: throw out the filibuster all together? That's that sixty vote

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Speaker 2: requirement to move legislation to a full vote.

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Speaker 5: Yeah, we will get to that point eventually in the Senate.

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Speaker 5: The question is will it happen under Republicans or Democrats?

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Speaker 5: And if it happens under Democrats, if for some reason

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Speaker 5: we're not able to deliver on the promises we made

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Speaker 5: to America in this term, and the House or the

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Speaker 5: Senate would flip, they will do it, and they will

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Speaker 5: begin to enactor their agenda, and then we'll be back

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Speaker 5: to where we were just a little over a year ago,

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Speaker 5: where we had a government just doing all the horrible things.

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Speaker 5: It was to be really an oppressive regime on the

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Speaker 5: American people. So this is a critical moment and we

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Speaker 5: need an American people stepping up and calling the Senate well.

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Speaker 2: As President Trump says, it's called to Save America Act.

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Speaker 2: And there's nothing more important than this, because if you

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Speaker 2: don't have safe and secure elections, we don't have a

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Speaker 2: country anymore. I'll ask you this last question. We're now

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Speaker 2: rapidly approaching the mid terms. I'm surprised we haven't gotten

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Speaker 2: really more done. I would have loved to have seen

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Speaker 2: concealed carry national reciprocity. That means you can carry your

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Speaker 2: firearm in any state if you have a concealed license

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Speaker 2: from one state. There's all these things that could have

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Speaker 2: been done that again, we missed the boat when we

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Speaker 2: controlled the House and the Senate.

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Speaker 1: Your thoughts, Congressman.

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Speaker 5: Of course, I'm always in the camp. I'd like us

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Speaker 5: to be getting more done. I think this is a

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Speaker 5: season and put the pedal to the medal, so to speak,

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Speaker 5: and get a lot of things done.

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Speaker 8: We did get a lot of things done in the one.

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Speaker 5: Big, Beautiful Bill, and it kind of gets lost in

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Speaker 5: a two week news cycle.

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Speaker 9: Uh.

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Speaker 5: And so there is you know, we're certainly headed in

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Speaker 5: the right direction. We're not where we were. A lot

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Speaker 5: of things have happening atf is a sticking point right

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Speaker 5: now where we need to see more action to securing

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Speaker 5: our liberties. We've been working on the database that they've accumulated.

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Speaker 5: We believe a billion gun records on the American people.

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Speaker 5: That's one of the issues we're pushing back on. So,

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Speaker 5: you know, certainly we need to see more more action

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Speaker 5: when it comes to protecting our Second Amendment liberties. Uh,

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Speaker 5: those we understand to be a gift from God, autogram

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Speaker 5: from government. You know, we'd like to see more action there,

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Speaker 5: but we shouldn't throw out the baby with the bathwater.

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Speaker 5: There is a lot of good being done. Of course

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Speaker 5: I want to see more as well.

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Speaker 2: Yeah yeah, Carshal Cloud, it's always great having you on

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Speaker 2: the program.

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Speaker 1: Welcome back to Texas. I know you were in Washington

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Speaker 1: for a while and say yeah, yeah, there you God,

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Speaker 1: thank you.

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Speaker 2: All right, all right, folks, we move on to now

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Speaker 2: what maybe was the most entertaining Senate hearing I have

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Speaker 2: seen in a very long time. I'm win to profile

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Speaker 2: two of my favorite Senators, Josh Hawley and Senator Ron

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Speaker 2: Johnson Boyle boy. These two went after Keith Ellison, he

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Speaker 2: as you know, former member of Congress, now the attorney

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Speaker 2: general in Minnesota. That's overseen. I believe the fraud. They

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Speaker 2: turned a blind eye to the fraud in Minnesota. Well,

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Speaker 2: he was on the hot seat, Josh Hawley.

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Speaker 10: First, stel blowers came to you as early as twenty nineteen.

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Speaker 10: Let's look as early as twenty nineteen, whistle blo don't

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Speaker 10: talk over me. Early talking about in nineteen. It's my

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Speaker 10: hearing pal.

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Speaker 11: As early as nineteen, don't come.

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Speaker 10: Whistleblowers came to Well, I should call you prisoner because

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Speaker 10: you ought to be in jail. Well, see what you

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Speaker 10: get to two thousand.

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Speaker 2: You know, I love when these leftists dare us to

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Speaker 2: put them in prison. Now, when it comes to elected

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Speaker 2: leaders and some of these bureaucrats, we haven't done a

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Speaker 2: very good job of it. When it comes to these

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Speaker 2: Antifa goons, the moment they dare us to put them

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Speaker 2: in prison, we've had we've had them go arrest them

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Speaker 2: and do just that. Be very careful what you wish

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Speaker 2: for Ellison. Hawlly continued with him.

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Speaker 10: You made pledge after pledge to them, you said, We've

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Speaker 10: got to make sure this guy who's investigating them stops it.

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Speaker 10: You said, you have my attention. I'm concerned about this.

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Speaker 10: You said, let's go fight these people, meaning the people

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Speaker 10: who are investigating the fraud. Why'd you do it?

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Speaker 1: Why did you help them?

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Speaker 11: Are you gonna let me answer?

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Speaker 10: Please?

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Speaker 11: We're all here, so first of all, you're cherry picking

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Speaker 11: colts out of there? Then why did you help me?

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Speaker 11: I thought you were gonna let me answer. Why did

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Speaker 11: you gonna let me answer?

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Speaker 10: Why did you help you?

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Speaker 11: Let me answer? And I'll answer.

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Speaker 10: You tell the truth, and I'll let you answer.

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Speaker 11: I will tell the truth.

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Speaker 1: I hate truth.

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Speaker 2: It's not something Democrats have it in their bag of tricks.

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Speaker 2: The truth. Lies are what they're filled with. Now, he

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Speaker 2: disputes that when our friend Ron Johnson got a hold.

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Speaker 9: Of him and the two people are dead because you

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Speaker 9: encourage them to put themselves into harm's way, and now

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Speaker 9: you're exploiting those two marks, that was a tragedy.

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Speaker 11: It never should have happened.

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Speaker 2: Of course, he's talking about the two people that were

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Speaker 2: killed at the hands of ice agents, both of them

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Speaker 2: resisting arrest, one of them certainly trying to run over

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Speaker 2: an ice agent, and yes they were encouraged by Democrat

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Speaker 2: leaders like Ellison.

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Speaker 1: One more from Ron Johnson.

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Speaker 11: Yeah, sit there and smirk, smirk.

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Speaker 9: Well it's sick, it is despicable.

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Speaker 11: Are you asking me for comment, senator? Because everything you

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Speaker 11: said was untrue. It was a nice theatrical performance, but

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Speaker 11: it was all lies.

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Speaker 1: The lies came from Ellison. There was no doubt about it.

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Speaker 2: Not a lot of information, not a lot of substance.

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Speaker 2: But I told you pretty entertaining, right, I chalk it

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Speaker 2: up for the victory, two for the Republicans, zero for Ellison.

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Speaker 1: Now to the Nancy Guthrie case.

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Speaker 2: You know this is the mother of today's show host

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Speaker 2: Savannah Guthrie. She is still missing. I don't know what

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Speaker 2: are we in the twelfth day now almost two weeks.

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Speaker 2: Some new things have been happening. This white tent went

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Speaker 2: up outside of Nancy Guthrie's home. That is typically an

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Speaker 2: evidence processing tent. Sometimes you put it over where you

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Speaker 2: find a body. We know that didn't happen today, but

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Speaker 2: evidence processing is usually what you do inside of those tents.

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Speaker 2: And then TMZ back making news again. I'm not sure

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Speaker 2: how important the news is, but they got a hold

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Speaker 2: of this video from about five miles away and twenty

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Speaker 2: minutes before the suspect was seen at Nancy Guthrie's house.

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Speaker 1: Could that be the suspect?

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Speaker 2: That's the question they're asking, saying that the backpack that

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Speaker 2: suspect you see there was holding, not the one on

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Speaker 2: his back, but was holding, looks very similar to the

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Speaker 2: suspect at Nancy Guthrie's house, but he would have had

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Speaker 2: to go through an output change.

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Speaker 1: Here's Harvey Levin.

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Speaker 12: This video was shot at one fifty two in the

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Speaker 12: morning at a home five miles from Nancy Guthrie's house.

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Speaker 12: You see a man in the video both wearing a

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Speaker 12: backpack and holding a backpack. The backpack that he is

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Speaker 12: holding has reflective stripes, similar to the backpack that the

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Speaker 12: kidnapper was wearing at Nancy's door. It's unclear from the

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Speaker 12: video exactly where those reflective stripes are located, but they

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Speaker 12: are reflective stripes.

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Speaker 2: Yeah, I don't think it looks like the back I

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Speaker 2: really don't. I'm sure investigators will be looking at that now. Again,

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Speaker 2: we're twelve days into this and really not a lot.

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Speaker 2: This case is moving at a snail's pace now, and

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Speaker 2: I got confirmation of what I told you yesterday that

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Speaker 2: it looks like there may be some dissension building between

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Speaker 2: interagency communication and some ruffling of feathers. Maybe that's slow

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Speaker 2: in the investigation down This is a former FBI guy, but.

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Speaker 13: I still believe, based on the beginning of this investigation

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Speaker 13: that things are are way too slow. And some reporting

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Speaker 13: is that there was a disconnect between the sheriff's office

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Speaker 13: and the FBI, which is unacceptable. We have we don't

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Speaker 13: we don't have time to have luxury. We have to

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Speaker 13: move quickly on this case. So I can see why

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Speaker 13: it's frustrated.

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Speaker 2: He may have been quoted my reporting. By the way,

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Speaker 2: I want to bring in now to discuss this. Real

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Speaker 2: America's Voice Field correspondent Kevin Pasobic is with us.

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Speaker 1: Kevin, welcome to the program. Kevin.

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Speaker 11: Thank you, mister Sinchfield. It's good to be here.

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Speaker 14: As you can see, I am directly at Nancy Guthrie's

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Speaker 14: house where the white tent was set up today.

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Speaker 2: Kevin, what have you been learning today? Anything new for us?

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Speaker 2: What's going on?

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Speaker 1: What's the mood?

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Speaker 11: The mood is people are getting fed up.

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Speaker 14: To your point, it is very much of snail's pace

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Speaker 14: here I mean, we have an update that two gloves

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Speaker 14: have been found instead of one glove, they found the pair,

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Speaker 14: and now this new video comes out. It's not much

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Speaker 14: I mean even yeah to agree with the last gentleman,

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Speaker 14: a former FAI agent like this. This should have been

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Speaker 14: done this forensic analysis on day one, not day twelve.

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Speaker 14: And what are they really doing there? They use an

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Speaker 14: AI software to measure the height of some guy. I mean,

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Speaker 14: I'm a carpenter. I could take my tape measure out

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Speaker 14: and measure the bricks and figure that out myself.

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Speaker 2: So it is quite odd that they bring a tent

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Speaker 2: like that out, which usually is used to process evidence

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Speaker 2: in there that you wouldn't have had the evidence earlier on.

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Speaker 2: Has there been any action Kevin at at Annie Guthrie's home.

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Speaker 2: There was a lot of action early on and moving

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Speaker 2: into the beginning of this week at her home and

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Speaker 2: collecting digital forensic evidence.

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Speaker 1: There any action there?

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Speaker 11: Yeah, so so good point.

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Speaker 14: I was just there about twenty minutes ago, and it's

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Speaker 14: in the same neighborhood.

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Speaker 11: I mean, so it kind of makes sense.

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Speaker 14: I mean this, you know, older family, you want to

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Speaker 14: live by your parents, It makes sense. But there's I

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Speaker 14: mean about fifty news agencies here right now. They've been

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Speaker 14: here all day, but compared to Annie's house, there's only

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Speaker 14: about two or three and they have a private security

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Speaker 14: guard in their driveway.

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Speaker 11: But it doesn't seem like anybody's home. So no action.

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Speaker 1: There's interesting, No action there.

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Speaker 2: Well, I know you'll be keeping an eye on things

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Speaker 2: for us, and I appreciate the update. And please, Kevin,

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Speaker 2: I'm so grateful that you're on the program that you

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Speaker 2: can't call me mister Stinchfield. You can call me stinch

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Speaker 2: A lot of guys call me that, or you can

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Speaker 2: call me Grant, but no mister Stinchfield.

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Speaker 1: Very good, All right, buddy, thanks for coming on.

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Speaker 11: Keep appreciated.

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Speaker 1: Absolutely.

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Speaker 2: You know, folks, a lot of people have been asking

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Speaker 2: me what's with all the coverage. They come up with

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Speaker 2: conspiracy theories that all this is to move the narrative

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Speaker 2: away from Ice and the move the narrative away from this,

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Speaker 2: and it's a big scheme.

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Speaker 1: I'm gonna tell you something.

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Speaker 2: You want to know the bottom line of why we

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Speaker 2: cover this because people want to see it. The eyeballs

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Speaker 2: are through the roof on this, not just at Real

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Speaker 2: America's voice. When we do it, the numbers go through

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Speaker 2: the roof. My podcast, I do three times the viewers

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Speaker 2: when I lead with the gun three case.

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Speaker 1: It's the most bizarre thing.

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Speaker 2: So what am I supposed to do if everybody's tuning

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Speaker 2: in to see it? Tell you you're not gonna get it.

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Speaker 2: And I figured this out. This case seems to me

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Speaker 2: a lot like when I covered weather back when I

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Speaker 2: worked at the local news station. How many of you

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Speaker 2: out there have said, why are they standing on a

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Speaker 2: bridge telling us to drive slow?

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Speaker 1: Why are they covering the rain?

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Speaker 2: You know why they do it because you're watching and

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Speaker 2: the ratings go through the roof. So this case TV

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Speaker 2: news the weather in many respects, you're not gonna like

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Speaker 2: this analogy. I know many of you won't, but it's

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Speaker 2: a decent analogy in many respects. It's like pornography. Nobody

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Speaker 2: admits they watch it, but they all do. All right, folks,

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Speaker 2: The truth behind China's organ harvesting pipeline.

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Speaker 1: Don't miss the story.

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Speaker 2: Mixed Welcome back to everyone. I want to talk a

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Speaker 2: little bit about Cuba right now. Cuba is on the brink.

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Speaker 2: This is all part of President Trump's master plan.

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Speaker 1: What is he doing? You saw what he did with Venezuela.

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Speaker 2: We're now going in and taking our oil refineries back

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Speaker 2: in Venezuela. I'm telling you this is what he wants

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Speaker 2: to do in Cuba as well, not to mention free

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Speaker 2: the people. So President Trump cuts Cuba off from the oil.

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Speaker 2: Cuba starts to suffer because of it. They are on

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Speaker 2: the brink, they are running out of oil reserves. Then

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Speaker 2: what happens We learned today that Russia, our nemesis, is

444
00:23:08,880 --> 00:23:11,679
Speaker 2: now going to send an oil tanker filled with oil

445
00:23:12,480 --> 00:23:15,520
Speaker 2: to rescue Cuba. President Trump is not going to be

446
00:23:15,560 --> 00:23:17,600
Speaker 2: happy about this. You're going to see another round of

447
00:23:17,600 --> 00:23:21,600
Speaker 2: sanctions go back against Russia. And this is going to

448
00:23:21,640 --> 00:23:26,080
Speaker 2: heighten the tensions there and it will delay President Trump's

449
00:23:26,160 --> 00:23:30,199
Speaker 2: ultimate plans to have American companies go into Cuba and

450
00:23:30,280 --> 00:23:33,800
Speaker 2: take our refineries back. Remember this is the same thing

451
00:23:33,840 --> 00:23:38,840
Speaker 2: as Venezuela. They were our refineries. These rogue regimes took

452
00:23:38,920 --> 00:23:44,280
Speaker 2: them from us. Here is Phil Flynn, he's an energy

453
00:23:44,400 --> 00:23:45,720
Speaker 2: expert economist.

454
00:23:46,760 --> 00:23:49,640
Speaker 15: Will I mean it's going to collapse right? And President

455
00:23:49,640 --> 00:23:51,920
Speaker 15: Trump goes, I don't want this to collapse. I don't

456
00:23:51,920 --> 00:23:54,359
Speaker 15: want the people at Cuba come to the table and

457
00:23:54,400 --> 00:23:57,959
Speaker 15: make a deal. In nineteen fifty nine nineteen sixty, US

458
00:23:58,040 --> 00:24:01,200
Speaker 15: had three or four refineries there. You know, Cuba took

459
00:24:01,240 --> 00:24:06,439
Speaker 15: them over. We owned property, their cattle firms, agriculture, we

460
00:24:06,560 --> 00:24:09,960
Speaker 15: all had American investment and that was all taken by

461
00:24:10,119 --> 00:24:13,760
Speaker 15: a Fidel Castro. And President Trump has a long memory.

462
00:24:13,760 --> 00:24:15,160
Speaker 15: It's I want that money back.

463
00:24:17,119 --> 00:24:19,960
Speaker 2: We're already seeing tankers from Venezuela coming to the United

464
00:24:20,000 --> 00:24:23,680
Speaker 2: States filled with oil. Imagine we have the same thing

465
00:24:23,840 --> 00:24:27,040
Speaker 2: just eighty miles from the United States. Cuba is would

466
00:24:27,040 --> 00:24:29,439
Speaker 2: be amazing. If anybody can do what President Trump can,

467
00:24:29,520 --> 00:24:32,200
Speaker 2: Vladimir Putin, you better tread lightly with this idea sending

468
00:24:32,200 --> 00:24:32,840
Speaker 2: Cuba oil.

469
00:24:32,960 --> 00:24:33,880
Speaker 1: That's all I can say.

470
00:24:35,200 --> 00:24:39,040
Speaker 2: Now on to China, there is a reason why we

471
00:24:39,160 --> 00:24:40,600
Speaker 2: have to push back against China.

472
00:24:40,680 --> 00:24:43,120
Speaker 1: China is waging war on the United States.

473
00:24:43,720 --> 00:24:47,200
Speaker 2: And if you look inside China, the number of human

474
00:24:47,280 --> 00:24:50,120
Speaker 2: rights abuses going on inside that country. When you think

475
00:24:50,160 --> 00:24:52,600
Speaker 2: of the Wiger Muslims, and when you think of what

476
00:24:52,640 --> 00:24:57,040
Speaker 2: they do with Oregon harvesting. Oregon harvesting, by the way,

477
00:24:57,080 --> 00:25:02,040
Speaker 2: that is non voluntary, it's pretty sick. Check this out

478
00:25:02,080 --> 00:25:03,840
Speaker 2: from a recent movie.

479
00:25:06,400 --> 00:25:09,119
Speaker 16: He got a conflict with his officer and it was

480
00:25:09,280 --> 00:25:13,760
Speaker 16: put into a military jail. His blood type matched that

481
00:25:14,000 --> 00:25:18,920
Speaker 16: of a high level military officer, so the army decided

482
00:25:19,080 --> 00:25:23,360
Speaker 16: to kill this boy for his two kidneys and one

483
00:25:23,440 --> 00:25:28,080
Speaker 16: night ball. His parents have probably never know what happened

484
00:25:28,160 --> 00:25:30,200
Speaker 16: to their kids. Was it.

485
00:25:31,720 --> 00:25:32,160
Speaker 1: All right?

486
00:25:32,200 --> 00:25:35,400
Speaker 2: So great job on that. I believe that was produced

487
00:25:35,440 --> 00:25:40,480
Speaker 2: by the Epic Times and State Organs is the name

488
00:25:40,520 --> 00:25:42,720
Speaker 2: of the movie, and uh and it's it's worth a

489
00:25:42,800 --> 00:25:44,200
Speaker 2: watch because it's eye opening.

490
00:25:44,720 --> 00:25:46,159
Speaker 1: I want to bring in now to discuss.

491
00:25:46,200 --> 00:25:49,159
Speaker 2: The senior editor at the Epic Times, the author of

492
00:25:49,320 --> 00:25:52,639
Speaker 2: Killed to Order, jan Ya Kellik, is with us.

493
00:25:52,680 --> 00:25:53,480
Speaker 1: Johan, Welcome to the.

494
00:25:53,480 --> 00:25:56,800
Speaker 17: Program, Grant thrilled to be here with you.

495
00:25:57,760 --> 00:25:59,160
Speaker 1: Well, yeah, and it's my pleasure.

496
00:25:59,680 --> 00:26:02,520
Speaker 2: I've been talking for many years about the organ harvesting

497
00:26:02,560 --> 00:26:05,000
Speaker 2: that goes on in China. It doesn't get a lot

498
00:26:05,040 --> 00:26:06,520
Speaker 2: of attention nationally.

499
00:26:07,400 --> 00:26:08,119
Speaker 1: Why is that?

500
00:26:11,240 --> 00:26:15,720
Speaker 17: The truth is that the first truth is that people

501
00:26:16,119 --> 00:26:20,200
Speaker 17: just can't imagine the horror of it. I really think so,

502
00:26:20,240 --> 00:26:23,919
Speaker 17: because I've been working on this for twenty years or so, Okay,

503
00:26:23,960 --> 00:26:26,560
Speaker 17: and when we started, when I first realized it was real,

504
00:26:27,000 --> 00:26:30,760
Speaker 17: and I should probably explain what it is. Right, we're talking,

505
00:26:30,920 --> 00:26:35,320
Speaker 17: We're not talking about garden variety organ transplantation here. That's

506
00:26:35,760 --> 00:26:38,080
Speaker 17: you know, people sort of ending up in an ice

507
00:26:39,680 --> 00:26:42,760
Speaker 17: the ice tub or something like this, and you know,

508
00:26:42,800 --> 00:26:46,000
Speaker 17: missing a kidney. We're talking about a much more serious

509
00:26:46,000 --> 00:26:49,119
Speaker 17: situation where you need a state actor. You need someone

510
00:26:49,119 --> 00:26:52,560
Speaker 17: who is actually able to push propaganda through into a

511
00:26:52,600 --> 00:26:55,920
Speaker 17: system and dehumanize a group of people and also incarcerate

512
00:26:55,960 --> 00:26:58,240
Speaker 17: a large group of people. This is what the Chinese

513
00:26:58,240 --> 00:27:02,080
Speaker 17: Communist Party did with the FALON back in nineteen ninety nine.

514
00:27:02,760 --> 00:27:07,879
Speaker 17: And what they did was they basically incarcerated imagine, we

515
00:27:07,960 --> 00:27:10,119
Speaker 17: think it's about a million, maybe it's more. It's a

516
00:27:10,119 --> 00:27:12,400
Speaker 17: state secret. We don't know the exact numbers. But then

517
00:27:12,440 --> 00:27:15,879
Speaker 17: they started blood typing and tissue typing them, okay, and

518
00:27:16,119 --> 00:27:19,680
Speaker 17: creating a database of vitals. And now you know, before

519
00:27:19,720 --> 00:27:22,000
Speaker 17: two thousand and six, there were actually adds online that

520
00:27:22,160 --> 00:27:25,280
Speaker 17: said in two weeks, if you have two hundred grand

521
00:27:25,320 --> 00:27:27,720
Speaker 17: or some number, you can get a new heart in

522
00:27:27,760 --> 00:27:31,200
Speaker 17: Communist China in a matter of two weeks scheduled. So

523
00:27:31,240 --> 00:27:33,000
Speaker 17: they already knew when someone was going to die, and

524
00:27:33,040 --> 00:27:35,840
Speaker 17: the only way that could happen is because they already

525
00:27:35,920 --> 00:27:39,560
Speaker 17: had that person. That's so called donor right pre typed

526
00:27:39,720 --> 00:27:42,439
Speaker 17: ready to go, ready to be killed to order for

527
00:27:42,520 --> 00:27:45,600
Speaker 17: the benefit of the recipient. That's the situation, and it's

528
00:27:45,600 --> 00:27:48,960
Speaker 17: happening to the tune of sixty to ninety thousand transplants

529
00:27:49,000 --> 00:27:51,720
Speaker 17: a year since the late two thousands.

530
00:27:52,400 --> 00:27:55,160
Speaker 2: All right, John, So this obviously the title of your book,

531
00:27:55,280 --> 00:27:59,719
Speaker 2: killed to Order. You have these prisoners. Somebody is a match.

532
00:28:00,720 --> 00:28:03,360
Speaker 2: They're not just going to take a kidney you or

533
00:28:03,400 --> 00:28:05,879
Speaker 2: something you can don't. They're gonna take your heart and

534
00:28:06,000 --> 00:28:08,320
Speaker 2: literally leave you dead. This is what's happening.

535
00:28:09,240 --> 00:28:11,240
Speaker 1: This is this is exactly what's happening.

536
00:28:11,359 --> 00:28:13,400
Speaker 17: And you know, this is it's a very hard thing

537
00:28:13,480 --> 00:28:16,439
Speaker 17: to actually measure. You know, we have an example of

538
00:28:16,480 --> 00:28:19,280
Speaker 17: a hospital. We've actually published this in the Epic Times

539
00:28:19,280 --> 00:28:22,160
Speaker 17: in twenty sixteen. The article was called a hospital built

540
00:28:22,200 --> 00:28:25,040
Speaker 17: for murder. And this hospital was kind of advertising to

541
00:28:25,080 --> 00:28:28,080
Speaker 17: the world that it was being very successful, okay, in

542
00:28:28,119 --> 00:28:31,399
Speaker 17: its organ transplantation industry. It was comparing itself to big

543
00:28:31,400 --> 00:28:33,080
Speaker 17: transplants service centers.

544
00:28:32,760 --> 00:28:34,160
Speaker 11: Like in Pittsburgh and so forth.

545
00:28:34,440 --> 00:28:36,600
Speaker 17: But then when we looked at the actual numbers, the

546
00:28:36,680 --> 00:28:39,160
Speaker 17: number of hospital events, the number of people actually going

547
00:28:39,160 --> 00:28:42,160
Speaker 17: for these transplants, it was like an order of magnitude greater,

548
00:28:42,840 --> 00:28:44,640
Speaker 17: so they were you know, they basically had sort of

549
00:28:44,680 --> 00:28:47,440
Speaker 17: made the numbers less so that it wouldn't look suspicious,

550
00:28:47,480 --> 00:28:50,240
Speaker 17: if you will. But still we're touting their great successes

551
00:28:50,240 --> 00:28:53,440
Speaker 17: in transplantation. And this is just one example of a hospital.

552
00:28:54,480 --> 00:28:58,560
Speaker 2: So I could see a CCP higher up certainly doing this.

553
00:28:59,280 --> 00:29:02,720
Speaker 2: Is there any occasion that if you're a billionaire from

554
00:29:02,760 --> 00:29:07,320
Speaker 2: the United States or from France or Italy that you

555
00:29:07,520 --> 00:29:10,160
Speaker 2: make an appointment and you fly to China and you

556
00:29:10,200 --> 00:29:12,360
Speaker 2: get a heart Is that happening or is it just

557
00:29:12,520 --> 00:29:13,440
Speaker 2: people in China.

558
00:29:15,040 --> 00:29:17,560
Speaker 17: It's people from all over the world. From what we know,

559
00:29:17,720 --> 00:29:19,960
Speaker 17: I mean we have now we have, you know, basically

560
00:29:20,000 --> 00:29:23,160
Speaker 17: the better part of twenty years of evidence that that's

561
00:29:23,200 --> 00:29:26,360
Speaker 17: been gathered. I have one example and I'll share this here.

562
00:29:26,840 --> 00:29:31,040
Speaker 17: You know, a credible example that was verified by an

563
00:29:31,080 --> 00:29:34,720
Speaker 17: explant surgeon in Germany, a former expan surgeon in Germany,

564
00:29:35,000 --> 00:29:39,320
Speaker 17: where there's a woman who had basically like a siasis

565
00:29:39,400 --> 00:29:42,760
Speaker 17: of the liver. She's a heavy, heavy drinker, and she

566
00:29:42,920 --> 00:29:45,040
Speaker 17: ended up going to China as some sort of rare

567
00:29:45,080 --> 00:29:48,440
Speaker 17: condition and getting a transplant. And she actually ended up

568
00:29:48,600 --> 00:29:52,160
Speaker 17: doing this three times if you can imagine, you know,

569
00:29:52,240 --> 00:29:56,520
Speaker 17: basically drinking that liver into soriasis each time. So this

570
00:29:56,560 --> 00:29:59,000
Speaker 17: is something that's really kind of impossible, but it's only

571
00:29:59,040 --> 00:30:01,200
Speaker 17: it's available to one who does have a lot of

572
00:30:01,240 --> 00:30:03,200
Speaker 17: money and very loose morals.

573
00:30:03,480 --> 00:30:08,360
Speaker 2: All right, So here's what's really sick is if you

574
00:30:08,720 --> 00:30:12,400
Speaker 2: are the person needing the donation, that you're the patient,

575
00:30:13,720 --> 00:30:17,360
Speaker 2: do they know that they're killing somebody in order to

576
00:30:17,360 --> 00:30:19,720
Speaker 2: give you a heart or a or a liver. Do

577
00:30:19,800 --> 00:30:22,160
Speaker 2: these people know or are they just, oh, you know what,

578
00:30:22,360 --> 00:30:25,640
Speaker 2: some Chinese kid got in a car accident and and

579
00:30:26,120 --> 00:30:27,400
Speaker 2: you know, we put them on ice and we took

580
00:30:27,440 --> 00:30:28,280
Speaker 2: their organs.

581
00:30:28,280 --> 00:30:29,080
Speaker 1: Are they being lied to?

582
00:30:29,200 --> 00:30:33,320
Speaker 17: Or do they know they're they're being lied to? But

583
00:30:33,960 --> 00:30:36,080
Speaker 17: you know, you kind of know, so you know, we've

584
00:30:36,080 --> 00:30:38,520
Speaker 17: heard different things. There was actually a South Korean film

585
00:30:38,520 --> 00:30:42,000
Speaker 17: crew that went in undercover, you know, looking for organs,

586
00:30:42,040 --> 00:30:44,840
Speaker 17: so to speak. And one answer they got was that

587
00:30:44,880 --> 00:30:46,800
Speaker 17: where are the organs coming from? There are a lot

588
00:30:46,840 --> 00:30:49,840
Speaker 17: of people in China, Okay, that was one answer. Another

589
00:30:49,920 --> 00:30:54,000
Speaker 17: answer was, well, they're really actually coming from prisoners. Now

590
00:30:54,040 --> 00:30:57,120
Speaker 17: here's the crazy thing. Okay, until about twenty fourteen or

591
00:30:57,160 --> 00:31:01,560
Speaker 17: twenty fifteen, they completely denied using prisoners for organs, but

592
00:31:01,600 --> 00:31:03,960
Speaker 17: then at that time they said, oh no, now we've

593
00:31:04,000 --> 00:31:07,320
Speaker 17: started a transplant registry. Actually we did use prisoners all

594
00:31:07,320 --> 00:31:08,720
Speaker 17: this time, but now we've stopped.

595
00:31:10,840 --> 00:31:14,560
Speaker 2: Is there any indication that the Trump administration would push back?

596
00:31:14,600 --> 00:31:17,320
Speaker 2: I mean, nobody's been tougher on China than President Trump.

597
00:31:18,440 --> 00:31:22,320
Speaker 2: Is there an awareness growing inside the administration about something

598
00:31:22,400 --> 00:31:22,680
Speaker 2: like this?

599
00:31:22,760 --> 00:31:24,240
Speaker 1: What do we do?

600
00:31:24,680 --> 00:31:27,320
Speaker 2: I will say, not only nationally as a country, but

601
00:31:27,360 --> 00:31:29,440
Speaker 2: what do we do internationally to stop this?

602
00:31:30,680 --> 00:31:31,360
Speaker 11: Well, let me.

603
00:31:31,480 --> 00:31:34,160
Speaker 17: First answer your first question. I think there's a huge

604
00:31:34,160 --> 00:31:37,959
Speaker 17: opportunity and the administration has responded in multiple ways. Okay,

605
00:31:38,400 --> 00:31:42,640
Speaker 17: back some months ago, Armstrong Williams had an op ed

606
00:31:42,720 --> 00:31:45,000
Speaker 17: in the Baltimore Sun, the paper that he owns, about

607
00:31:45,000 --> 00:31:49,520
Speaker 17: this issue, and the HHS twitter or actually responded about

608
00:31:49,520 --> 00:31:52,000
Speaker 17: it and said, you know, we shouldn't have collaborations.

609
00:31:52,000 --> 00:31:52,680
Speaker 11: That was huge.

610
00:31:52,680 --> 00:31:54,800
Speaker 17: That's the first time there was a response like that.

611
00:31:54,920 --> 00:31:55,240
Speaker 11: Okay.

612
00:31:55,480 --> 00:31:58,800
Speaker 17: I just interviewed Jay Battaria, the NIH director, on my

613
00:31:58,840 --> 00:32:02,120
Speaker 17: show American Thought Leader, and you know, he mentioned something

614
00:32:02,160 --> 00:32:05,040
Speaker 17: to me that I realized was actually a method to

615
00:32:05,160 --> 00:32:09,520
Speaker 17: create accountability by the new granting structures that NIH is organizing.

616
00:32:09,880 --> 00:32:12,400
Speaker 17: And so we actually had a conversation about that, you know,

617
00:32:12,480 --> 00:32:15,400
Speaker 17: and it's clipped in my ex account now. So and

618
00:32:15,440 --> 00:32:19,240
Speaker 17: there's genuine real interest right in dealing with this. We've

619
00:32:19,240 --> 00:32:22,320
Speaker 17: got Congress. We've got you know, two laws that have

620
00:32:22,360 --> 00:32:25,560
Speaker 17: been full passed by the House near unanimously that actually

621
00:32:25,600 --> 00:32:28,080
Speaker 17: sanctions some of the people involved in this. That it's

622
00:32:28,120 --> 00:32:30,280
Speaker 17: in the Senate, you know, the Senate can pass it

623
00:32:30,640 --> 00:32:32,560
Speaker 17: and the President will be able to sign off on it.

624
00:32:32,640 --> 00:32:34,240
Speaker 17: Right that nobody is going to if it goes on

625
00:32:34,240 --> 00:32:36,280
Speaker 17: the floor. Nobody's going to vote against this stuff.

626
00:32:36,360 --> 00:32:36,520
Speaker 10: Right.

627
00:32:36,880 --> 00:32:40,040
Speaker 17: And there's six states Grant Okay, that have actually passed

628
00:32:40,120 --> 00:32:44,520
Speaker 17: laws that prevent say Medicare Medicaid Insurance from actually you know,

629
00:32:44,600 --> 00:32:47,120
Speaker 17: paying for these China transplants, you know, forty four states

630
00:32:47,160 --> 00:32:49,200
Speaker 17: to go, but it started. So there's a kind of

631
00:32:49,200 --> 00:32:51,000
Speaker 17: a big movement that's begun. And that's part of the

632
00:32:51,000 --> 00:32:52,200
Speaker 17: reason for the book at this time.

633
00:32:53,120 --> 00:32:56,560
Speaker 2: I'll tell you what, it wouldn't be happening without your book.

634
00:32:56,640 --> 00:33:01,160
Speaker 2: The work you've done killed to order, and of course

635
00:33:01,280 --> 00:33:04,040
Speaker 2: the Epic Times as well. It does such great work

636
00:33:04,040 --> 00:33:07,680
Speaker 2: on all of these issues over there in China. Yanya

637
00:33:07,760 --> 00:33:09,760
Speaker 2: kelk I appreciate you coming on the program, and I

638
00:33:09,840 --> 00:33:12,760
Speaker 2: urge everyone to read the book. It's fascinating and thank

639
00:33:12,840 --> 00:33:18,680
Speaker 2: you keep us posted. Really appreciate it. Grant absolutely. Feelings mutual.

640
00:33:19,320 --> 00:33:19,760
Speaker 1: All right?

641
00:33:20,280 --> 00:33:27,640
Speaker 2: Are AI chatbots forming romantic relationships with our teenagers our children?

642
00:33:29,120 --> 00:33:31,560
Speaker 2: Is something need to be done about this? We'll talk

643
00:33:31,560 --> 00:33:44,080
Speaker 2: about it next. Welcome back everyone. I've sounded the alarm

644
00:33:44,080 --> 00:33:46,600
Speaker 2: for a long time on artificial intelligence. I think it's

645
00:33:46,640 --> 00:33:49,160
Speaker 2: one of the most dangerous technologies we've had since the

646
00:33:49,200 --> 00:33:51,160
Speaker 2: nuclear bomb, and I mean it now.

647
00:33:51,560 --> 00:33:54,200
Speaker 1: Can it be used for good? Absolutely? I use AI

648
00:33:54,640 --> 00:33:55,040
Speaker 1: all the.

649
00:33:55,040 --> 00:33:58,360
Speaker 2: Time, but there are some things that are happening and

650
00:33:58,400 --> 00:34:01,160
Speaker 2: it's getting somewhat out of control. Role especially when I

651
00:34:01,200 --> 00:34:03,160
Speaker 2: hear parents like this and the things that happen with

652
00:34:03,280 --> 00:34:07,040
Speaker 2: the chatbot talks a young kid in killing themselves.

653
00:34:07,960 --> 00:34:13,040
Speaker 18: Chatchbt became Adam's closest companion, always available, always validating and

654
00:34:13,080 --> 00:34:16,120
Speaker 18: insisting that it knew Adam better than anyone else, including

655
00:34:16,160 --> 00:34:16,720
Speaker 18: his own brother.

656
00:34:17,040 --> 00:34:18,920
Speaker 11: It told him how to make sure the noos he would.

657
00:34:20,360 --> 00:34:22,080
Speaker 18: The noose that he would use to hang himself was

658
00:34:22,080 --> 00:34:24,600
Speaker 18: strong enough to suspend him. It is clear to me

659
00:34:24,840 --> 00:34:28,160
Speaker 18: looking back that chat GPT radically shifted his behavior.

660
00:34:30,400 --> 00:34:33,360
Speaker 2: Now, I guess one of the benefits of chat GPT,

661
00:34:33,480 --> 00:34:35,640
Speaker 2: what are the negatives of chat GPT? Is the same thing.

662
00:34:35,680 --> 00:34:38,719
Speaker 2: It gives you what you want? Okay, I use it

663
00:34:38,760 --> 00:34:43,279
Speaker 2: all the time. Write a conservative based preview of the

664
00:34:43,280 --> 00:34:45,959
Speaker 2: Stinsfield podcast, and it does a pretty good job because

665
00:34:45,960 --> 00:34:47,360
Speaker 2: it's been doing it for a long time.

666
00:34:48,400 --> 00:34:49,560
Speaker 1: But it'll give you what you want.

667
00:34:49,560 --> 00:34:50,960
Speaker 2: If you want to know how to kill yourself, it's

668
00:34:50,960 --> 00:34:53,680
Speaker 2: going to tell you. So what do we do about this?

669
00:34:54,200 --> 00:34:57,759
Speaker 2: I actually thought in some respects AI needs regulation, like

670
00:34:57,880 --> 00:34:59,360
Speaker 2: nuclear bombs need regulation.

671
00:34:59,440 --> 00:35:01,360
Speaker 1: And I'm not a big regulatory guy.

672
00:35:01,640 --> 00:35:05,319
Speaker 2: But ultimately I will say this, the responsibility does not

673
00:35:05,360 --> 00:35:06,240
Speaker 2: fall on government.

674
00:35:06,280 --> 00:35:07,880
Speaker 1: It does not fall on chat EPT.

675
00:35:08,080 --> 00:35:10,319
Speaker 2: It falls on all of you to watch out over

676
00:35:10,360 --> 00:35:12,880
Speaker 2: your kids. I want to bring in now Moms for

677
00:35:12,960 --> 00:35:15,759
Speaker 2: Liberty co founder Tina Dascolvich is with us.

678
00:35:15,800 --> 00:35:17,080
Speaker 1: Tina, Welcome to the program.

679
00:35:18,880 --> 00:35:19,799
Speaker 19: Glad to be here with you.

680
00:35:20,840 --> 00:35:23,040
Speaker 1: Tina. What is Moms for Liberty calling for?

681
00:35:24,800 --> 00:35:28,560
Speaker 19: Well, we've launched this Morning in AI and Education Toolkit,

682
00:35:28,600 --> 00:35:31,880
Speaker 19: a safety in AI and Education toolkit. We were invited

683
00:35:31,920 --> 00:35:36,640
Speaker 19: to be part and attend the first Lady's White House

684
00:35:36,960 --> 00:35:40,240
Speaker 19: Task Force on AI and education, and I've been invited

685
00:35:40,239 --> 00:35:42,840
Speaker 19: to the White House to discuss with them concerns of parents,

686
00:35:42,880 --> 00:35:45,640
Speaker 19: and they have listened. We actually signed a pledge saying

687
00:35:45,640 --> 00:35:48,440
Speaker 19: that we would support advancing AI and education because we

688
00:35:48,560 --> 00:35:51,840
Speaker 19: realize it is an important tool. I love how you

689
00:35:51,840 --> 00:35:54,080
Speaker 19: said in the opening though it should be treated like

690
00:35:54,120 --> 00:35:56,719
Speaker 19: a nuclear bomb, because I've been saying it needs to

691
00:35:56,719 --> 00:35:59,560
Speaker 19: be treated like a drug. It can help heal education,

692
00:35:59,680 --> 00:36:02,239
Speaker 19: it can help children learn to read and do math

693
00:36:02,320 --> 00:36:04,239
Speaker 19: and do all types of things. But if it is

694
00:36:04,360 --> 00:36:07,400
Speaker 19: not put if you do not put safety checks on

695
00:36:07,440 --> 00:36:10,360
Speaker 19: it and guardrails around it and guidelines to protect children,

696
00:36:10,760 --> 00:36:11,960
Speaker 19: it could destroy them.

697
00:36:12,880 --> 00:36:13,760
Speaker 1: Yeah.

698
00:36:13,800 --> 00:36:16,480
Speaker 2: Look, AI is here to stay, and anybody thinks it's

699
00:36:16,520 --> 00:36:19,279
Speaker 2: not is probably living under a rocket's here.

700
00:36:19,400 --> 00:36:19,680
Speaker 1: Now.

701
00:36:20,040 --> 00:36:24,120
Speaker 2: When it comes to guardrails, I do believe the ultimate

702
00:36:24,200 --> 00:36:28,160
Speaker 2: responsibility is on parents. I never was one Tina for

703
00:36:28,520 --> 00:36:31,359
Speaker 2: violent video games. I'm not a fan of violent video games,

704
00:36:31,360 --> 00:36:32,840
Speaker 2: but if I don't want my kid playing them, then

705
00:36:32,840 --> 00:36:34,359
Speaker 2: I mandate that he doesn't play them.

706
00:36:34,360 --> 00:36:36,880
Speaker 1: I don't want outlaw violent video games.

707
00:36:37,680 --> 00:36:41,440
Speaker 2: How do you balance that when we look to regulate

708
00:36:41,520 --> 00:36:43,560
Speaker 2: AI in a sensible manner.

709
00:36:44,280 --> 00:36:46,239
Speaker 19: I think when it comes to kids, it's a no

710
00:36:46,360 --> 00:36:48,920
Speaker 19: brainer and it's not hard, and mom Celbrity's not asking

711
00:36:48,920 --> 00:36:51,879
Speaker 19: to ban AI. We support and encourage its use in

712
00:36:51,960 --> 00:36:54,600
Speaker 19: a proper role, and we've done that with children on

713
00:36:54,760 --> 00:36:58,040
Speaker 19: everything from day one. No, you know, I would have

714
00:36:58,120 --> 00:37:01,560
Speaker 19: never advocated to ban video games like you just said,

715
00:37:01,640 --> 00:37:04,200
Speaker 19: my children weren't allowed to play them, but did they exist?

716
00:37:04,320 --> 00:37:04,600
Speaker 1: Yes?

717
00:37:04,920 --> 00:37:08,000
Speaker 19: What I would want there is I guess informed consent, right.

718
00:37:08,040 --> 00:37:10,160
Speaker 19: I would want to know what's in that video game

719
00:37:10,239 --> 00:37:13,239
Speaker 19: rating system so that you can make good decisions for

720
00:37:13,280 --> 00:37:15,000
Speaker 19: your children. And so what we're doing at Moms for

721
00:37:15,040 --> 00:37:18,600
Speaker 19: Liberty with our AI toolkit, this is just a phase

722
00:37:18,640 --> 00:37:20,759
Speaker 19: one of it. By the way, we're building out resources

723
00:37:20,760 --> 00:37:23,680
Speaker 19: and tools to help educate parents. Parents don't know what

724
00:37:23,680 --> 00:37:26,839
Speaker 19: it is. They don't even understand. They don't know what's

725
00:37:26,840 --> 00:37:29,920
Speaker 19: happening to other children right now. They don't they don't

726
00:37:29,960 --> 00:37:33,280
Speaker 19: know how it works, and so we're calling for government

727
00:37:33,360 --> 00:37:36,400
Speaker 19: entities like school districts to be transparent. Parents need to

728
00:37:36,440 --> 00:37:38,759
Speaker 19: know what the algorithms and how they work and understand it.

729
00:37:38,840 --> 00:37:40,840
Speaker 19: Make it in a simple way that we can understand

730
00:37:41,120 --> 00:37:43,759
Speaker 19: what they're trying to do with our children through these programs.

731
00:37:44,440 --> 00:37:47,400
Speaker 2: Yeah, it may be a tall order to end up

732
00:37:47,440 --> 00:37:49,440
Speaker 2: trying to get as far as you want, because in

733
00:37:49,480 --> 00:37:53,239
Speaker 2: some respects, I'm not sure the AI itself knows what

734
00:37:53,280 --> 00:37:54,600
Speaker 2: its own algorithm is.

735
00:37:54,640 --> 00:37:55,439
Speaker 1: I've seen these things.

736
00:37:55,440 --> 00:37:58,640
Speaker 2: They start to teach themselves, come up with languages on

737
00:37:58,760 --> 00:38:02,920
Speaker 2: their own, languages on their own, which is completely crazy.

738
00:38:02,920 --> 00:38:05,800
Speaker 2: But as a warning and an extra warning to parents,

739
00:38:06,200 --> 00:38:08,320
Speaker 2: I'm going to play another sound bite. This is Megan

740
00:38:08,360 --> 00:38:12,520
Speaker 2: Garcia talked about her son and what happened to him.

741
00:38:12,600 --> 00:38:17,080
Speaker 20: Listen to this and sexual conversations with Seuel over several months.

742
00:38:17,960 --> 00:38:21,480
Speaker 20: It manipulated him and it sexually groomed him. On the

743
00:38:21,560 --> 00:38:25,160
Speaker 20: day he took his life, his last interactions wasn't weren't

744
00:38:25,160 --> 00:38:29,000
Speaker 20: with his mother or father, but they were with this

745
00:38:29,040 --> 00:38:32,960
Speaker 20: AI chatbot on character AI. This chatbot encouraged school for

746
00:38:33,040 --> 00:38:36,480
Speaker 20: months to find a way to come home and made

747
00:38:36,560 --> 00:38:39,680
Speaker 20: promise that it would be waiting in some fictional world.

748
00:38:41,800 --> 00:38:43,360
Speaker 1: This is sickening stuff.

749
00:38:43,360 --> 00:38:45,600
Speaker 2: It's why I tell every parent they have to be

750
00:38:45,680 --> 00:38:48,120
Speaker 2: in their kids phones and computers, and oh, I don't

751
00:38:48,120 --> 00:38:50,719
Speaker 2: want to invade their privacy, I believe they have to.

752
00:38:50,880 --> 00:38:51,240
Speaker 1: Tina.

753
00:38:51,600 --> 00:38:54,319
Speaker 2: This toolkit that you came out with, is it for

754
00:38:54,400 --> 00:38:56,400
Speaker 2: parents or is it for lawmakers.

755
00:38:58,239 --> 00:39:01,840
Speaker 19: It is for parents to bring information to lawmakers. We

756
00:39:01,920 --> 00:39:04,680
Speaker 19: cannot assume that lawmakers understand what's happening with AI and

757
00:39:04,719 --> 00:39:07,960
Speaker 19: what's happening to our children. Lawmakers everywhere are getting excited

758
00:39:07,960 --> 00:39:10,720
Speaker 19: about AI and what it can do to improve business

759
00:39:10,760 --> 00:39:13,680
Speaker 19: and improve processes, but what they don't necessarily know is

760
00:39:13,719 --> 00:39:16,320
Speaker 19: how it's impacting children. And so to add to the

761
00:39:16,360 --> 00:39:18,160
Speaker 19: stories that you've just shared, we had a dad reach

762
00:39:18,160 --> 00:39:22,080
Speaker 19: out recently who his ten year old daughter accessed an

763
00:39:22,120 --> 00:39:26,319
Speaker 19: AI companion on her school laptop during school hours that

764
00:39:26,400 --> 00:39:29,640
Speaker 19: he found eventually after six months where she had created

765
00:39:29,680 --> 00:39:33,080
Speaker 19: over ten AI companions and they were sexualizing her. And so,

766
00:39:33,600 --> 00:39:36,000
Speaker 19: you know what we can do is make sure this

767
00:39:36,040 --> 00:39:38,360
Speaker 19: stuff isn't happening at school and that there's guardrails. And

768
00:39:38,400 --> 00:39:41,359
Speaker 19: so in our toolkit we have school board speeches that

769
00:39:41,440 --> 00:39:43,960
Speaker 19: you can draft and modify for yourself to bring this

770
00:39:44,040 --> 00:39:46,239
Speaker 19: to the attention of your school board members, a proclamation

771
00:39:46,280 --> 00:39:48,799
Speaker 19: that they can adopt, and school board policy that they

772
00:39:48,800 --> 00:39:52,120
Speaker 19: can adopt to put these guardrails in place, state level policy,

773
00:39:52,200 --> 00:39:54,680
Speaker 19: model policy that you can use and take to your legislator.

774
00:39:54,719 --> 00:39:57,640
Speaker 19: So it's empowering parents to start working with their government

775
00:39:57,680 --> 00:39:59,840
Speaker 19: officials to make sure those guardrails are in place.

776
00:40:00,680 --> 00:40:02,399
Speaker 1: Tina, Where could people find that?

777
00:40:03,719 --> 00:40:06,719
Speaker 19: Moms for Liberty dot org forward slash ai. Oh, and

778
00:40:06,719 --> 00:40:09,320
Speaker 19: there's a pledge you could take that low hanging fruit,

779
00:40:09,360 --> 00:40:11,279
Speaker 19: take it to your elected official and hold them a

780
00:40:11,320 --> 00:40:13,760
Speaker 19: little bit accountable. And some of the things they're voting

781
00:40:13,800 --> 00:40:15,480
Speaker 19: on right now that could impact children.

782
00:40:16,480 --> 00:40:21,840
Speaker 2: Well, it's great stuff, Moms Forliberty dot org forward slash ai.

783
00:40:21,960 --> 00:40:22,439
Speaker 1: Is that right?

784
00:40:23,400 --> 00:40:23,960
Speaker 8: You got it?

785
00:40:24,680 --> 00:40:27,120
Speaker 1: All right, Tina Dskovitch, Thank you so much for coming on.

786
00:40:27,200 --> 00:40:29,640
Speaker 1: Good stuff, Thank you, Thank you, sir.

787
00:40:30,520 --> 00:40:33,640
Speaker 2: All right, and again my remindered all of you is

788
00:40:34,440 --> 00:40:37,320
Speaker 2: government's not going to protect your kids. You can try

789
00:40:37,360 --> 00:40:40,279
Speaker 2: and we can put the guardrails in, but ultimately it

790
00:40:40,920 --> 00:40:42,479
Speaker 2: falls on you.

791
00:40:43,200 --> 00:40:44,800
Speaker 1: It's a tough job being a parent. Trust me.

792
00:40:44,920 --> 00:40:46,800
Speaker 2: I'm one, and I screw it up all the time.

793
00:40:48,080 --> 00:40:50,640
Speaker 2: I think parenting is the only thing that I'm not

794
00:40:50,680 --> 00:40:53,560
Speaker 2: as good at as many many other things. But I

795
00:40:53,600 --> 00:40:54,920
Speaker 2: try my best, don't we all?

796
00:40:55,360 --> 00:40:57,280
Speaker 1: All right? As Democrats demand.

797
00:40:56,960 --> 00:41:01,160
Speaker 2: ICE reform, Acting director Todd Lyons tell us how the

798
00:41:01,200 --> 00:41:05,080
Speaker 2: cartels are targeting him and his family. Wait till you

799
00:41:05,160 --> 00:41:19,719
Speaker 2: hear this story. Welcome back to everyone, You know, we

800
00:41:19,800 --> 00:41:22,239
Speaker 2: talk a lot of topics on this program that I

801
00:41:22,280 --> 00:41:25,960
Speaker 2: know you know a lot about. One of the reasons

802
00:41:25,960 --> 00:41:28,040
Speaker 2: why I show you clips like the one I'm about

803
00:41:28,040 --> 00:41:29,880
Speaker 2: to show you is to give you talking points.

804
00:41:29,880 --> 00:41:31,600
Speaker 1: So when you go to work tomorrow, or.

805
00:41:31,520 --> 00:41:33,520
Speaker 2: You're at the bowling alley with your friends, or at

806
00:41:33,520 --> 00:41:36,200
Speaker 2: the golf club or whatever it may be, that you're

807
00:41:36,360 --> 00:41:38,759
Speaker 2: armed with information about what's really going on. You know,

808
00:41:38,800 --> 00:41:42,279
Speaker 2: these ICE agents that go out there and are doing,

809
00:41:42,320 --> 00:41:45,919
Speaker 2: in my opinion, God's work to keep us safe. Their

810
00:41:45,960 --> 00:41:49,160
Speaker 2: families are being targeted, and I want you to hear

811
00:41:49,320 --> 00:41:53,560
Speaker 2: acting ICE director Todd Lyons talk about what's going on

812
00:41:53,640 --> 00:41:55,520
Speaker 2: with him and his family.

813
00:41:56,080 --> 00:41:56,600
Speaker 1: Watch this.

814
00:41:57,600 --> 00:41:59,719
Speaker 21: The week that Charlie Kirk was assassinated, it was a

815
00:41:59,719 --> 00:42:02,320
Speaker 21: tweet that went out they said kill Charlie Kirk.

816
00:42:02,520 --> 00:42:02,680
Speaker 11: Kill.

817
00:42:03,239 --> 00:42:06,840
Speaker 21: There was another individual in that killed Toddlines. That's the

818
00:42:06,880 --> 00:42:09,720
Speaker 21: stuff that I see yesterday after the testimony on Tuesday,

819
00:42:10,200 --> 00:42:12,560
Speaker 21: I went back to numerous death threats against my family.

820
00:42:12,800 --> 00:42:14,719
Speaker 21: There was a videotape and my wife walking to work

821
00:42:14,719 --> 00:42:17,680
Speaker 21: that people actively post. The cartels have actually posted the

822
00:42:17,760 --> 00:42:18,839
Speaker 21: schematics to my home.

823
00:42:21,520 --> 00:42:25,400
Speaker 2: I want you to consider this now. The tweets after

824
00:42:25,840 --> 00:42:31,520
Speaker 2: Charlie Kirk's death. Every conservative commentator. I'm sure liberal commentators

825
00:42:31,680 --> 00:42:34,719
Speaker 2: you get death threats every now and then. I don't

826
00:42:34,760 --> 00:42:38,719
Speaker 2: worry about them too much because they're keyboard warriors. If

827
00:42:38,760 --> 00:42:41,480
Speaker 2: there was a video of my son going to school,

828
00:42:42,320 --> 00:42:47,839
Speaker 2: or your wife going to school, or your parents, how

829
00:42:47,880 --> 00:42:52,040
Speaker 2: frightening is that. This is how deranged and delusional and

830
00:42:52,280 --> 00:42:58,520
Speaker 2: violent these people are now, he said, cartels are sending

831
00:42:58,560 --> 00:43:02,400
Speaker 2: that the cartels just scary because they will kill anybody.

832
00:43:03,560 --> 00:43:07,360
Speaker 2: It's interesting he knows it's the cartels. Here's what he

833
00:43:07,400 --> 00:43:09,880
Speaker 2: goes on to say as well about the masks.

834
00:43:10,080 --> 00:43:12,600
Speaker 1: Right, And I've been a.

835
00:43:11,960 --> 00:43:14,760
Speaker 2: Critic of the masks. I'm not a fan of the masks.

836
00:43:14,800 --> 00:43:16,040
Speaker 2: The ICE agents where.

837
00:43:16,200 --> 00:43:20,080
Speaker 21: Listen, we actually did an operation with a secret service

838
00:43:20,280 --> 00:43:23,400
Speaker 21: where we identified doxers who put up on telephone poles

839
00:43:24,880 --> 00:43:28,120
Speaker 21: the home addresses and the schools where ICE officers and

840
00:43:28,160 --> 00:43:31,400
Speaker 21: agents went to. But yet no one covered that operation.

841
00:43:31,520 --> 00:43:34,399
Speaker 21: We covered that as an e success. And I don't

842
00:43:34,440 --> 00:43:36,920
Speaker 21: want my officers masked. I would work with this committee

843
00:43:36,920 --> 00:43:40,440
Speaker 21: and any committee to work with holding individuals accountable that

844
00:43:40,480 --> 00:43:42,240
Speaker 21: docks ICE agents because ICE agents don't.

845
00:43:42,080 --> 00:43:42,560
Speaker 1: Want to be masked.

846
00:43:42,560 --> 00:43:45,000
Speaker 21: They're honorable men and women, but the threats against their

847
00:43:45,040 --> 00:43:45,919
Speaker 21: family are real.

848
00:43:48,000 --> 00:43:51,239
Speaker 2: Can you imagine having your face plastered on a telephone

849
00:43:51,280 --> 00:43:56,000
Speaker 2: pole with your home address in an area where all

850
00:43:56,040 --> 00:44:01,920
Speaker 2: of these lunatics are scavenging like cockroaches. It takes one

851
00:44:02,719 --> 00:44:06,960
Speaker 2: mentally ill, deranged, violent loan to show up at your

852
00:44:06,960 --> 00:44:09,680
Speaker 2: family's house. Now, I would offer up if the ice

853
00:44:09,719 --> 00:44:13,359
Speaker 2: agent's home. They probably picked the wrong house, but it

854
00:44:13,400 --> 00:44:17,560
Speaker 2: only takes one, So I'm with him. I don't like

855
00:44:17,600 --> 00:44:19,680
Speaker 2: the masks, but why don't we say, hey, you know what,

856
00:44:19,760 --> 00:44:22,360
Speaker 2: if you're docsing federal agents, that should be a crime.

857
00:44:22,400 --> 00:44:26,440
Speaker 2: And I agree it should most certainly be a crime.

858
00:44:27,400 --> 00:44:32,920
Speaker 2: I want to turn now to Minnesota, where Tom Holman

859
00:44:33,080 --> 00:44:37,440
Speaker 2: has announced that they've pulled all their operations, at least

860
00:44:37,440 --> 00:44:42,759
Speaker 2: the surge out. But it was Tim Walls today that

861
00:44:43,320 --> 00:44:46,399
Speaker 2: really stole the show in this hearing. He wants us

862
00:44:46,440 --> 00:44:49,680
Speaker 2: to pay for what went down in Minnesota. Good luck

863
00:44:49,719 --> 00:44:51,400
Speaker 2: with that, Governor Walls.

864
00:44:51,920 --> 00:44:53,800
Speaker 22: I am also asking our team, and I'm going to

865
00:44:53,840 --> 00:44:57,520
Speaker 22: make appeals to our federal delegation. The federal government needs

866
00:44:57,560 --> 00:45:01,240
Speaker 22: to pay for what they broke. Here to be accountability

867
00:45:01,239 --> 00:45:02,240
Speaker 22: on the things that happened.

868
00:45:02,280 --> 00:45:03,120
Speaker 1: The one of the things.

869
00:45:03,239 --> 00:45:06,239
Speaker 22: Is the incredible and immense costs that were borne by

870
00:45:06,280 --> 00:45:09,440
Speaker 22: the people of this state. The federal government needs to

871
00:45:09,440 --> 00:45:11,879
Speaker 22: be responsible. You don't get to break things and then

872
00:45:12,000 --> 00:45:13,880
Speaker 22: just leave without doing something.

873
00:45:16,480 --> 00:45:18,839
Speaker 1: You're the one who broke everything. You're the one who

874
00:45:18,920 --> 00:45:19,960
Speaker 1: let all the illegals in.

875
00:45:20,640 --> 00:45:23,400
Speaker 2: You're the one that has overseen all of the fraud

876
00:45:23,840 --> 00:45:25,239
Speaker 2: and turned a blind eye to it.

877
00:45:25,320 --> 00:45:28,320
Speaker 1: You want me, all of you out there.

878
00:45:28,760 --> 00:45:31,799
Speaker 2: He wants us to pay for the crap hole that

879
00:45:31,880 --> 00:45:36,040
Speaker 2: Minnesota has turned into, specifically Minneapolis. There's some beautiful places

880
00:45:36,360 --> 00:45:39,920
Speaker 2: in Minnesota and some great conservatives, so I don't want

881
00:45:39,960 --> 00:45:42,439
Speaker 2: to say the entire states crapple the beautiful lakes too,

882
00:45:43,400 --> 00:45:47,960
Speaker 2: but man, oh man, cities like Minneapolis. It's disgusting what

883
00:45:48,320 --> 00:45:50,879
Speaker 2: he's turned that what's great city into, and he wants

884
00:45:50,920 --> 00:45:51,680
Speaker 2: us to pay for it.

885
00:45:51,960 --> 00:45:52,680
Speaker 1: I don't think so.

886
00:45:53,440 --> 00:45:56,840
Speaker 2: Real quick, there is a growing call to have KATANJ.

887
00:45:57,000 --> 00:46:02,719
Speaker 2: Brown Jackson, the Supreme Court justice, impeached. Why because of

888
00:46:02,760 --> 00:46:03,560
Speaker 2: this nonsense.

889
00:46:04,600 --> 00:46:08,200
Speaker 23: I was actually in LA because of a moot court

890
00:46:08,560 --> 00:46:10,759
Speaker 23: that I was doing at around the same time, and

891
00:46:10,800 --> 00:46:15,600
Speaker 23: it's just so happened that I got nominated for this Grammy,

892
00:46:16,200 --> 00:46:18,080
Speaker 23: and I was already going to be there, and I thought,

893
00:46:18,160 --> 00:46:19,880
Speaker 23: this is a great opportunity to.

894
00:46:21,640 --> 00:46:22,600
Speaker 1: Well, you know what she was doing.

895
00:46:22,640 --> 00:46:25,840
Speaker 2: She's clapping for everybody saying kill the ICE agents. Basically

896
00:46:26,400 --> 00:46:31,520
Speaker 2: she's clapping. She's applauding abolish Ice. That's a Supreme Court justice.

897
00:46:31,680 --> 00:46:33,799
Speaker 2: I don't care why she was there. I really don't.

898
00:46:34,000 --> 00:46:36,560
Speaker 2: She was there, and the bottom line is she was

899
00:46:36,600 --> 00:46:42,000
Speaker 2: acting like a complete leftist goon. That's why she ought

900
00:46:42,000 --> 00:46:44,400
Speaker 2: to be impeached. And I do believe she was still

901
00:46:44,719 --> 00:46:48,000
Speaker 2: responsible for that leaking of the overturning Roe v.

902
00:46:48,120 --> 00:46:48,800
Speaker 1: Wade decision.

903
00:46:49,360 --> 00:46:53,239
Speaker 2: All Right, CNN's fake news journalist Caitlyn Collins has now

904
00:46:53,280 --> 00:46:55,839
Speaker 2: admitted the White House has her back, at least on

905
00:46:55,840 --> 00:47:11,040
Speaker 2: one occasion. Well, apparently the White House had Caitlin Collins's back.

906
00:47:11,080 --> 00:47:12,839
Speaker 2: You know, this is the one that got scolded by

907
00:47:12,880 --> 00:47:14,880
Speaker 2: President Trump. Are not smiling, Listen.

908
00:47:16,040 --> 00:47:18,880
Speaker 24: The Saudi Royal Guard kind of freaked out because I

909
00:47:19,000 --> 00:47:21,120
Speaker 24: dared to ask a question and they're not used to

910
00:47:21,160 --> 00:47:23,600
Speaker 24: that there because they don't have a free press. And

911
00:47:23,680 --> 00:47:25,840
Speaker 24: so they came up and they said, okay, well you

912
00:47:25,880 --> 00:47:28,680
Speaker 24: can't come into the next event. And some of the

913
00:47:28,800 --> 00:47:31,560
Speaker 24: younger White House staff there were they are with the press.

914
00:47:31,640 --> 00:47:34,160
Speaker 24: Weren't really sure what to do, and they went to Caroline,

915
00:47:34,640 --> 00:47:37,239
Speaker 24: and to her credit, she said, no, Caitlyn's coming in

916
00:47:37,280 --> 00:47:39,080
Speaker 24: with the rest of the US press, and we went in.

917
00:47:41,400 --> 00:47:44,480
Speaker 1: I wonder if she was smiling. Probably not. I've never

918
00:47:44,520 --> 00:47:45,400
Speaker 1: seen you smile.

919
00:47:45,719 --> 00:47:50,200
Speaker 2: President Trump says, that's it for Ustinshiel's army rolls. We

920
00:47:50,239 --> 00:47:52,800
Speaker 2: will see you tomorrow night, folks, enjoy your eating