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Speaker 1: Well, good evening everyone, Welcome to Stinchfield. I think this

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Speaker 1: is one of the biggest stories of our time, and

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Speaker 1: you will not see it as a lead on any

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Speaker 1: of the mainstream media outlets. But RFK Junior is now

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Speaker 1: pushing back against the mRNA vaccine.

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Speaker 2: That's that new shot.

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Speaker 1: That they used during COVID that turned out to be

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Speaker 1: an absolute disaster. Health and Human Services is now canceling

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Speaker 1: five hundred million dollars worth of contracts to research and

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Speaker 1: develop mRNA vaccines.

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Speaker 2: Why because flat out, he says.

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Speaker 1: They're a flop, They don't work, and even more importantly,

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Speaker 1: they turned out to be very, very dangerous.

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Speaker 2: Here's o RFK Junior.

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Speaker 3: Most of these shots are for flu or COVID, but

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Speaker 3: as the pandemic showed us, mRNA vaccines don't perform well

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Speaker 3: against viruses that infect the upper respiratory tract. Here's the problem.

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Speaker 3: mRNA only codes for a small part of the viral proteins,

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Speaker 3: usually a single antigen, one mutation, and the vaccine becomes ineffective.

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Speaker 1: One mutation and ineffective. We know COVID mutated numerous times. Now,

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Speaker 1: I want to make this very clear. We warned you

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Speaker 1: about this on this network. When I worked back on

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Speaker 1: my old network, I was very outspoken, along with many

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Speaker 1: brave doctors and nurses who came forward asking questions, seeking

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Speaker 1: the truth, telling us that there was a real chance

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Speaker 1: that not only was the mRNA vaccine dangerous, but that

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Speaker 1: it caused problems. It is increase the spread of transmission.

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Speaker 1: It did nothing to stop COVID.

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Speaker 2: And what happened.

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Speaker 1: I lost a TikTok account, many of my fellow colleagues

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Speaker 1: lost other accounts. I was demonetized on Facebook.

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Speaker 2: All because I sought the truth.

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Speaker 1: And it turns out these are CDC researchers that came

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Speaker 1: to the conclusion that the mRNA vaccine just isn't worth

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Speaker 1: the risk because the side effects the complications far outweigh

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Speaker 1: the benefits.

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Speaker 2: RFK Junior again.

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Speaker 3: This dynamic dribes a phenomena called energetic shift, meaning that

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Speaker 3: the vaccine paradoxically encourages new mutations and can actually prolong

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Speaker 3: pandemics as the virus constantly mutates to escape the protective

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Speaker 3: effects of the vaccine.

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Speaker 1: All right, so RFK Junior making a very very bold move,

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Speaker 1: but I don't don't want any of you to ever

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Speaker 1: forget They forced this on us only the bravest, the strongest,

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Speaker 1: those that could afford it, stood up and said no

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Speaker 1: and didn't take it.

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Speaker 2: I'm proud to say I was one of those people,

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Speaker 2: but there are many more that this was forced on.

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Speaker 1: And yet still the Left, even in the face of

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Speaker 1: all of this evidence, refuses to acknowledge what is now

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Speaker 1: looked at as fact.

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Speaker 2: This is some guy doctor off it on MSNBC.

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Speaker 4: I'm on the FDA Vaccine Advisory Committee. When we looked

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Speaker 4: at those data in December of twenty twenty, we were

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Speaker 4: only looking at thirty five thousand people who would received

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Speaker 4: that vaccine. All of us were worried that the other

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Speaker 4: shoe was going to drought, that there was going to

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Speaker 4: be a much more serious side effect that we would

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Speaker 4: see when millions of people and that hundreds of millions

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Speaker 4: of people were vaccinated, and that wasn't true. Although the

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Speaker 4: vaccine could cause myocarditis.

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Speaker 1: Although it could cause my arcaditis, we all witnessed with

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Speaker 1: our own eyes young athletes dropping dropping like flies.

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Speaker 2: All the evidence to me, in my opinion, shows.

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Speaker 1: That this was Meyer kurditis that was going on in

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Speaker 1: these athletes in large part due to the vaccine. Because

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Speaker 1: we saw the huge numbers, and it wasn't just Meyer kurditis.

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Speaker 2: Doctor.

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Speaker 1: We know I have friends that were affected their immune system.

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Speaker 2: We know that.

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Speaker 1: Blood clots are now showing up in corpses of dead

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Speaker 1: bodies that were never there before the vaccine. We know

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Speaker 1: that there are miscarriages that are on the rise.

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Speaker 2: Listen to this nurse.

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Speaker 5: From my experience over the last seventeen eighteen years, it

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Speaker 5: has definitely, I mean, it's almost like double triple hold.

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Speaker 5: I've never seen so many miscarriages and intrigued and demises before.

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Speaker 6: Have they taken the show?

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Speaker 2: We just don't know.

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Speaker 5: I know the majority that I mean, I wish I

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Speaker 5: could all the stats of that, but the majority of them.

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Speaker 5: If I am their nurse, I can look at their charts.

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Speaker 5: If I'm not their nurse, I cannot. So the ones

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Speaker 5: that I have looked at have been vaccinated at some point.

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Speaker 1: And yet other vaccines were pulled off the market far

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Speaker 1: sooner than the COVID shot, and in fact, the COVID

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Speaker 1: shots still on the market.

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Speaker 2: I believe it needs to be banned.

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Speaker 1: I'm glad RFK Junior has taken the step to cancel

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Speaker 1: the contracts to create any more of them, but to

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Speaker 1: that nurse's point, I want you to take a look

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Speaker 1: at this headline California Hospital. It reads concealed evidence linking

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Speaker 1: catastrophic surge in still bursts to COVID vaccine.

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Speaker 2: This lawsuit of ledges.

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Speaker 1: Inside the lawsuit, it reads the plaintiff witnessed CMC's patient

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Speaker 1: injury data deliberately and selectively concealed from staff, patients, and regulators.

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Speaker 2: Plaintiff exposed this data out of a concern.

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Speaker 1: For the safety of pregnant mothers and their unborn children.

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Speaker 2: The pattern that began to emerge.

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Speaker 1: Here in all of this was they were hiding the

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Speaker 1: negative data about these shots. No one wanted to make

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Speaker 1: the admission that they weren't working and that they were dangerous,

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Speaker 1: and they were willing to work risk lives over it.

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Speaker 1: So all of it was about constant games.

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Speaker 2: Listen to this.

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Speaker 7: Pfizer did start a randomized controlled trial. They had about

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Speaker 7: eight hundred pregnant women enrolled. They were going to follow

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Speaker 7: them up to six months, and they had to stop

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Speaker 7: the trial and didn't publish the results because if they

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Speaker 7: had had one more fetal anomaly or birth effect, that

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Speaker 7: would have made that statistically significant. So they stopped the

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Speaker 7: trial so we don't have a long term trial on

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Speaker 7: pregnant women.

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Speaker 2: Again.

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Speaker 1: I've heard stories like this over and over and over again.

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Speaker 1: It's about time someone takes a stand on this. I'm

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Speaker 1: glad RFK Junior is. I want to bring in now

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Speaker 1: senior fellow at the Independent Medical Ryan.

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Speaker 2: Cole is with us. Good evening, Ryan, welcome to the program.

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Speaker 8: Good evening, Thank you, good to be with you.

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Speaker 1: What do you make of today's news of RFK Junior

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Speaker 1: canceling twenty two contracts worth five hundred and something million dollars.

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Speaker 9: I think this is a move in the right direction.

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Speaker 9: It's a wind down of this technology. It's not everything

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Speaker 9: that all of us want, per se. I agree with

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Speaker 9: you and you listed those harms that we know quite

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Speaker 9: well and we would like to see a ban on it.

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Speaker 9: But I think this is a step in the right

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Speaker 9: direction terminating twenty two contracts, especially contracts for you know,

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Speaker 9: the the drummed up H five N one bird flu

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Speaker 9: scare that Maderna was going to get contracts for winding

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Speaker 9: down funding for University of Texas Medical Branch in Galveston, Texas,

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Speaker 9: which does a lot of bioweapons research and high risk

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Speaker 9: viral research. So it's a good thing that Kennedy's done here.

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Speaker 9: And I do think it's going to be a wind down.

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Speaker 9: I think it's a shot across the bow and an

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Speaker 9: opening salvo in a battle. Farman's not going to take

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Speaker 9: this lying down, and people like Senator Cassidy, who's the

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Speaker 9: chill boy for big Pharma, they're going to come, you know,

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Speaker 9: fighting back.

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Speaker 8: But this is a brave and a bold move.

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Speaker 9: It's a massive win, I think, because it's brought the

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Speaker 9: conversation back into the Overton window. And I love that

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Speaker 9: you brought up so many people have been harmed and

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Speaker 9: we need not to forget those who are still suffering.

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Speaker 9: So I think it's not everything we want, but this

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Speaker 9: is definitely a move in the right direction. I think

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Speaker 9: it's public acknowledgment that these are unsafe products. They don't

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Speaker 9: do what they said they were going to do, and

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Speaker 9: sure there will be many people up in arms about

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Speaker 9: it because they have.

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Speaker 1: Yes, let me ask you about this tale of two

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Speaker 1: cities we live in. You know, it's not just about

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Speaker 1: the healthcare industry. I mean, you watch MSNBC and you

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Speaker 1: watch this program. We live on different planets. I mean,

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Speaker 1: but I believe that I deal in fact, and I

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Speaker 1: believe that they deal in propaganda. I'm going to play

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Speaker 1: another clip from MSNBC, and it is the complete opposite

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Speaker 1: of what you'll see from the many doctors and people

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Speaker 1: like you that I respect on this program. Let me

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Speaker 1: play it and then let you respond.

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Speaker 4: What's a sad day for science in this country? With

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Speaker 4: the mRNA vaccines saved our lives? You know, it was

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Speaker 4: estimated that in twenty twenty one you were twelve times

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Speaker 4: more likely to be hospitalized and die if you didn't

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Speaker 4: get a vaccine than if you did. In twenty twenty two,

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Speaker 4: you were six times more likely to be hospitalized to die.

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Speaker 4: It's a phenomenal technology and it was remarkably saved.

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Speaker 2: Doctor Cole.

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Speaker 1: I've had numerous doctors say the exact opposite of what

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Speaker 1: he's saying.

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Speaker 2: How do they get away with that?

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Speaker 1: What is your response to the people out there who

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Speaker 1: try to decipher, well, who's telling me the truth?

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Speaker 8: Very simple?

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Speaker 9: Look at where the money goes and where does the

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Speaker 9: majority of the funding for these big news programs come from.

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Speaker 9: It comes from the pharmaceutical industry, so they control that

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Speaker 9: propagandistic narrative that was an absolute lie from doctor Offhit.

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Speaker 9: The best data set actually was the SALLAS medical data

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Speaker 9: set from the United States Military that showed that his

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Speaker 9: claims that more people were hospitalized with COVID that were

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Speaker 9: unvaccinated was a complete lie because within the military system,

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Speaker 9: the data showed that it was the complete opposite of that.

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Speaker 9: So he's lying, liars lie, and they continue to lie.

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Speaker 9: They have too much money at stake in this. Paul

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Speaker 9: Offitt has made millions upon millions of dollars from vaccine

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Speaker 9: contracts over the years, and it's a farce, it's a joke.

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Speaker 9: But at the same time, this is the unfortunate aspect.

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Speaker 9: The majority of our population gets this type of propagandistic

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Speaker 9: information that is not true, and those of us who

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Speaker 9: have stood up know that this is false, and so

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Speaker 9: we continue to try to raise our voice and grateful

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Speaker 9: for independent media like you, where we can get the

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Speaker 9: actual facts to the citizens of this nation to try

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Speaker 9: to protect them.

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Speaker 1: Well, doctor Cole, I believe the covided vaccine, if you

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Speaker 1: can even call it a vaccine technology, I like the

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Speaker 1: word you used, should be taking off the market.

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Speaker 9: Do you I agree one thousand percent this is a

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Speaker 9: dangerous technology that should A never have been used, B

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Speaker 9: should be stopped immediately, and C should never be used

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Speaker 9: going forward.

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Speaker 1: Doctor Ryan Cole, I appreciate you coming on. I know

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Speaker 1: it was very last minute for you. We appreciate you

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Speaker 1: jumping into the chair, and thank you, sir. We'll hope

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Speaker 1: to see you again real soon, my pleasure.

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Speaker 8: Thank you.

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Speaker 1: Absolutely. This is a story we will be following. It's

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Speaker 1: not going away. But think of the damage they had

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Speaker 1: done to people literally like doctor Cole, trying to speak

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Speaker 1: the truth and at times literally just asking questions without

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Speaker 1: even making statements. And yet they wanted us canceled all

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Speaker 1: right on to Texas Redistrict. You know, we brought cast

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Speaker 1: from Dallas here. This is some story. The Democrats are

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Speaker 1: a wall. Fifty of them have left Austin. Now we've

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Speaker 1: got looks like arrest warrants out for them. Possibly President

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Speaker 1: Trump will get the FBI involved to try to track

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Speaker 1: them down in New York, Massachusetts.

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Speaker 2: And Illinois.

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Speaker 1: If they're not back by Friday, the arrests could happen.

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Speaker 1: They could be removed from office. That's what the Attorney

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Speaker 1: General first offered up to do, and now Governor Greg

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Speaker 1: Abbott wants to do as Well, but this is President Trump.

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Speaker 7: Do you want the federal government and the FBI to

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Speaker 7: help locate and arrest these Texas Democrats who have left

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Speaker 7: the state.

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Speaker 10: Well, I think they've abandoned the state. Nobody's seen anything

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Speaker 10: like it, even though they've done it twice before, and

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Speaker 10: in a certain way, it almost looks like they've abandoned

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Speaker 10: the state.

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Speaker 2: It looks very bad. Yeah, go ahead, please get involved.

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Speaker 11: Should the FBI get involved.

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Speaker 2: Well, they may have to.

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Speaker 10: They may have to. No, I know they want them back,

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Speaker 10: not only the attorney general. The governor wants them back.

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Speaker 10: If you look, I mean, the governor of Texas is

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Speaker 10: demanding they come back.

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Speaker 1: The bottom line is we all want them back because

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Speaker 1: we want to get this done the election. President Trump's

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Speaker 1: already over six months into this term. We're a year

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Speaker 1: and a half out. These elections start now, and so

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Speaker 1: we've got to have these districts in place now. John

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Speaker 1: Corn and the senator from Texas, the deep Stater, the

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Speaker 1: squishy establishment senator Republican from Texas so called, is the

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Speaker 1: one that sent a letter to Cash Betel asking.

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Speaker 2: The FBI to come in.

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Speaker 1: It's interesting because I see now a.

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Speaker 2: Feud brewing between our good friend.

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Speaker 1: That's Attorney General Ken Paxton, who happens to be running

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Speaker 1: against John Cornyn for that.

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Speaker 2: Texas Senate seat. This is Paxton today.

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Speaker 8: Yeah.

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Speaker 12: Let me first say this is a state issue. I

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Speaker 12: don't know what the FBI would have to do with

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Speaker 12: this nothing. This is a purely state issue. So we

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Speaker 12: are focused on alternatives that we can implemented the state life.

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Speaker 8: One of those is we can arrest these so you.

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Speaker 12: Will see some action that we will attempt to make

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Speaker 12: those arrests. If that doesn't work, we're also going to

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Speaker 12: give them till Friday, because that's the next day that

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Speaker 12: the legislature meets. To show up on Friday. If they don't,

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Speaker 12: then we are going to file motions to try to

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Speaker 12: take remove some of these legislators from office.

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Speaker 1: I'll tell you, as my good friend, doctor Sabashia Gorka says,

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Speaker 1: get your popcorn come Friday. If they don't show up

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Speaker 1: to the State House in Austin, Texas.

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Speaker 2: All of this tells me the Democrats.

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Speaker 1: Don't look good when you go a wall, when you

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Speaker 1: skip out on your duties, when you cry and whine

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Speaker 1: and moan and take off like a spoiled child. It

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Speaker 1: doesn't look good for you. And then you just let

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Speaker 1: them speak. That's what I love to do. I don't

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Speaker 1: even need to call them out. I just let them

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Speaker 1: speak like this congresswoman.

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Speaker 13: And then integration happening. Everybody thought they accept this. They

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Speaker 13: don't accept this. They're showing us who they are. We

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Speaker 13: should believe in and we better have the courage to

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Speaker 13: stand up otherwise we.

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Speaker 2: Will fall for anything.

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Speaker 13: And in this country we will be defeated, deported.

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Speaker 2: I mean, we will lose all of our rights. And

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Speaker 2: if you think it can't happen, it can. And I

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Speaker 2: will liken.

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Speaker 13: This to the Holocaust. People are like, well, how did

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Speaker 13: the Holocaust happen? How is somebody in a position to

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Speaker 13: kill all their people? Well, good people remain silent.

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Speaker 2: The Holocaust? What are you talking about?

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Speaker 1: What a horrible disaster in history the Holocaust was. But

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Speaker 1: this is what the left does. They have no understanding

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Speaker 1: about what the Holocaust was, compared to a political dispute

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Speaker 1: in Texas where you got Democrats running to fancy hotels

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Speaker 1: at Boston, Massachusetts.

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Speaker 2: And this is the Holocaust.

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Speaker 1: With people like George Soros funding it, and who knows

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Speaker 1: how many millions of dollars and they ought to be

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Speaker 1: on the hook for taking bribes. Maybe that's where the

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Speaker 1: FBI comes in, because if you take money to not vote,

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Speaker 1: and that's what this amounts to, that you just accepted

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Speaker 1: a bribe for your actions, and I think you ought

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Speaker 1: to be charged with a felony for that.

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Speaker 2: This is President Trump again. I'm not proud of that,

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Speaker 2: but I think I probably got more. But that's okay.

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Speaker 10: I got forty percent in Massachusetts, and yet they have

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Speaker 10: one hundred percent of the vote in terms of Congress,

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Speaker 10: so there's no Republican there's no anything.

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Speaker 2: So we should have forty percent. You know why.

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Speaker 10: They redistricted and they've done it all over the place,

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Speaker 10: and they've done it in California, by the way, before this,

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Speaker 10: they've done.

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Speaker 2: It in California.

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Speaker 10: So we'll see what happens. We have a wonderful governor

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Speaker 10: in Texas. He feels strongly about it. It's going to

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Speaker 10: be up to him. I think there's tremendous support for it.

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Speaker 2: All right. So he's talking about Massachusetts.

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Speaker 1: No Republicans coming out of there, so you know, the

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Speaker 1: redistricting was in full effect there. Why do we know

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Speaker 1: this happens because Democrats cheat it's what they do which

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Speaker 1: brings us to a story we first told you about

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Speaker 1: many months ago. Well, that's Act Blue, this fundraising outlet

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Speaker 1: for the Democrats. They are accused of doing some very

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Speaker 1: shady things, including mortgage fraud, having foreign money come in,

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Speaker 1: using shill donors, and unbeknownst to some of the individuals,

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Speaker 1: having donations made in their name over and over and

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Speaker 1: over again, just the funnel illegal money into Democrats campaigns.

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Speaker 1: This is representative Byron Style who started an investigation into

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Speaker 1: Act Blue.

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Speaker 11: But then also to make reforms in the campaign finance

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Speaker 11: system to make sure that we are preventing any type

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Speaker 11: of abuse going forward. And so my concern has been

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Speaker 11: that potential foreign funds have found their way through Act

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Speaker 11: Blue into the campaign finance system, and we need to

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Speaker 11: make sure that we are not allowing foreign money into

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Speaker 11: US elections. It's an absolutely essential piece. And making sure

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Speaker 11: that the laws are reformed to prevent that is the ultimate.

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Speaker 2: It is all right.

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Speaker 1: So the Election Fairness Institute, they have also conducted an

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Speaker 1: investigation and what they found is nothing short of shocking.

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Speaker 1: I'll read from their report that they released quote, the

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Speaker 1: Election Fairness Institute has identified a money laundering scheme known

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Speaker 1: as Magic Mortgages, involving Act Blue, a major political fundraising platform.

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Speaker 1: This goes beyond smurfing. Senior research analyst Sean Taylor discovered

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Speaker 1: four hundred and twenty two identical contributions made on June

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Speaker 1: thirtieth to a Tennessee state representative via Act Blue, with

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Speaker 1: many donor addresses and phone numbers found to be invalid.

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Speaker 1: This led to identifying the potential source of the money. Well,

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Speaker 1: I want to bring in now to discuss this, Arizona

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Speaker 1: State Senator from Mark Fincham is with us.

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Speaker 2: Senator, it's great to have you back on the program.

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Speaker 14: Could you see you again?

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Speaker 11: Grant?

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Speaker 2: Thank you as so tell me magic mortgages. The world

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Speaker 2: is this, Senator.

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Speaker 14: So we have this architecture that when you buy a house,

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Speaker 14: generally it goes into ESCRO. You have a title company

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Speaker 14: that handles the escro and there are number of documents

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Speaker 14: that they go into it. So, just at a broad scale,

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Speaker 14: let's imagine you buy a house. Grant Stitchfield buys a

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Speaker 14: house for two hundred thousand dollars and it's funded by

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Speaker 14: one of the North American banks. We'll just say, well,

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Speaker 14: Spargo please don't assue me. All the records, including the mortgage,

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Speaker 14: the deed of trust, the ALTA insurance policy, all of

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Speaker 14: those records are recorded in the county record. Then just

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Speaker 14: a few minutes later, your two hundred thousand dollars house

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Speaker 14: suddenly has a two hundred million dollar magic mortgage that

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Speaker 14: comes through. It's nothing but a wire that goes through

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Speaker 14: the title company. There's no lender involved, because it's a

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Speaker 14: hard money loan, what they call a cash hard money loan.

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Speaker 14: But because it goes through a title company, there's no

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Speaker 14: notation of who the lender is, and it goes on

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Speaker 14: through the system. Now what's interesting is, and this is

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Speaker 14: what caught our attention, these are act Blue officers, corporate officers.

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Speaker 14: Once we found one, it led to another, and another,

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Speaker 14: and another and another. So we have them all over

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Speaker 14: the nation. And this is just one small fragment of

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Speaker 14: the human map. You leave this digital dust, if you will.

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Speaker 14: This is one small fragment.

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Speaker 1: You have all of these gigantic financial transactions. Now the

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Speaker 1: question becomes, how do they funnel that back into the campaigns.

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Speaker 1: Is that the small dollar donations that we see that

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Speaker 1: show up at some lady's house and she's donated to

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Speaker 1: Act Blue fifty two times and she knows nothing about it.

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Speaker 14: Well, that's just one small aspect of it. So James

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Speaker 14: O'Keefe got to give that guy credit with the whole

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Speaker 14: smurfing beast that he's done. And we got to be

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Speaker 14: careful about what we're calling us. This is a research

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Speaker 14: project because we're not licensed investigators. We want to make

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Speaker 14: sure that people understand that this money is going into

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Speaker 14: organizations that were This architecture was set up by Barack

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Speaker 14: Obama to spread cash around the country and to put

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Speaker 14: money into political action committees, into non government organizations, to

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Speaker 14: fund candidates, to set up the whole architecture for a

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Speaker 14: public relations machine read basically propaganda machine to promote the

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Speaker 14: whole concept that we're a team, We've got great funding,

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Speaker 14: it's all behind us. So here in Arizona, for example,

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Speaker 14: the Arizona Democrat Party not more than about five weeks

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Speaker 14: ago replaced their chairman because their fundraising is twenty five

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Speaker 14: percent of what it was last year. Where did all

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Speaker 14: the donors go? So what we're talking about here, Grant

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Speaker 14: is wholesale fraud where the money is distributed by Act

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Speaker 14: Blue officers. Now, because we're not federal law enforcement. We

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Speaker 14: don't know exactly where it went, but that's why we've

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Speaker 14: turned it over to US attorneys.

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Speaker 1: And that brings me to the real news I guess

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Speaker 1: is that you have handed this over to the Department

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Speaker 1: of Justice. What has been their response of taking the evidence?

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Speaker 1: We'll call it evidence, because you know, nothing's been proven yet.

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Speaker 1: I'd like to get Act Blues response on all of this.

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Speaker 1: But you turn over this evidence to DJ, what do

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Speaker 1: they say to you.

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Speaker 14: We are now engaged in conversations with a number of

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Speaker 14: US attorneys, former US attorneys, lawyers who are not yet

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Speaker 14: confirmed US attorneys, So there is great interest. I've got

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Speaker 14: to believe that Attorney General Pam Bondi has forwarded this

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Speaker 14: out to the folks that are the financial crime folks.

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Speaker 14: And by the way, it wasn't just the AGE. We

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Speaker 14: also sent it to the IRIS Criminal Division and to

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Speaker 14: the FBI. So Director Patel also has.

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Speaker 1: This real quick because I'm running a low on time.

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Speaker 1: Is there a number amount? Do you know how much

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Speaker 1: money you guys have found that you have questionable? You

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Speaker 1: have questions about is it one hundred million, a billion?

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Speaker 2: What is it?

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Speaker 14: Well, just the package that we've presented so far as

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Speaker 14: about one hundred and sixty three billion dollars over the

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Speaker 14: last ten years.

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Speaker 1: One hundred and sixty three billion dollars with the b yeah,

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Speaker 1: with the be Well, if this is what you say

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Speaker 1: it is, and you bust this down, they're going to

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Speaker 1: be really tough because money wins elections, sadly in this country,

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Speaker 1: and they know that. And if that's the reason why

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Speaker 1: this was going on, if you prove the DOJ proves

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Speaker 1: this to all be true, boy, you're going to be

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Speaker 1: an American hero. Senator Mark Fincham, I appreciate it. I

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Speaker 1: appreciate all the work you do with the Election Fairness

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Speaker 1: Institute as well, and for the people of Arizona. Thank

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Speaker 1: you as always for coming on tonight.

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Speaker 14: Thank you, Thank you, Grant. We appreciate the time and

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Speaker 14: the opportunity to tell the story.

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Speaker 1: Please keep me posted on this one. This is a

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Speaker 1: very important story, all right, folks. Is the continued divide

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Speaker 1: between Trump and the Federal Reserve putting us behind the

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Speaker 1: curve again. Can the Fed take the right action at

444
00:24:15,680 --> 00:24:17,600
Speaker 1: the right time or are we going to be looking

445
00:24:17,640 --> 00:24:21,120
Speaker 1: at a potential economic slowdown? And what does this mean

446
00:24:21,160 --> 00:24:26,040
Speaker 1: for your savings? Consider diversifying with gold through Birch Gold Group.

447
00:24:26,320 --> 00:24:28,320
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448
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449
00:24:31,080 --> 00:24:34,359
Speaker 1: physical gold, or just buy some gold and keep it

450
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Speaker 1: in your safe. First, educate yourself with Birch Gold's free

451
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Speaker 1: infoKit just text America to the number nine eight nine

452
00:24:40,720 --> 00:24:43,400
Speaker 1: eight nine eight. That's America to the number nine eight

453
00:24:43,480 --> 00:24:44,440
Speaker 1: nine eight nine eight.

454
00:24:44,960 --> 00:24:45,280
Speaker 2: All Right.

455
00:24:45,320 --> 00:24:48,600
Speaker 1: The days of banks refusing service to Trump supporters are

456
00:24:48,640 --> 00:25:00,280
Speaker 1: hopefully coming to an end permanently. We'll get into that next.

457
00:25:03,920 --> 00:25:04,959
Speaker 2: Brace yourself, folks.

458
00:25:05,560 --> 00:25:08,240
Speaker 1: The race for the White House twenty twenty eight is

459
00:25:08,320 --> 00:25:11,040
Speaker 1: underway now. Kamala Harris has said she's not going to

460
00:25:11,119 --> 00:25:14,040
Speaker 1: run for governor in California. I know she has her

461
00:25:14,119 --> 00:25:16,120
Speaker 1: heart set on the White House. She's never going to win,

462
00:25:16,760 --> 00:25:21,200
Speaker 1: But she now, according to sources, is distancing herself from

463
00:25:21,280 --> 00:25:25,119
Speaker 1: Joe Biden. She is about to throw that creepy skin

464
00:25:25,320 --> 00:25:29,160
Speaker 1: old guy under the bus. And if she does that,

465
00:25:29,760 --> 00:25:33,800
Speaker 1: my old buddy, Mark Halprin says, be warned. Biden and

466
00:25:33,840 --> 00:25:35,560
Speaker 1: Team Biden will push back.

467
00:25:35,640 --> 00:25:38,560
Speaker 6: If the Biden people decide that Kamala Harris is coming

468
00:25:38,600 --> 00:25:41,560
Speaker 6: after Joe Biden. Wait till you hear the palin esque

469
00:25:41,640 --> 00:25:44,520
Speaker 6: stories about how much they tried to help her be

470
00:25:44,680 --> 00:25:47,360
Speaker 6: prepared to be vice president and be in a position

471
00:25:47,480 --> 00:25:52,040
Speaker 6: to run, and how much they decided not happening. She's

472
00:25:52,080 --> 00:25:55,399
Speaker 6: not up to this and if they if that Biden

473
00:25:55,440 --> 00:25:59,040
Speaker 6: people feel threatened, you will hear stories about Kamala Harris

474
00:25:59,119 --> 00:26:02,720
Speaker 6: as vice president that will not make her look good.

475
00:26:03,119 --> 00:26:10,320
Speaker 2: Okay, can you imagine how many people witnessed the ineptitude

476
00:26:10,359 --> 00:26:11,399
Speaker 2: of Kamala Harris.

477
00:26:11,840 --> 00:26:15,159
Speaker 1: This may actually be a shot across the bow. You know,

478
00:26:15,200 --> 00:26:17,600
Speaker 1: Mark calprit has sources on both sides of the aisle.

479
00:26:18,040 --> 00:26:20,960
Speaker 1: This may be Hey, Kamala, if you venture down this

480
00:26:21,119 --> 00:26:23,680
Speaker 1: road to protect the Democrat Party from Kamala Harris was

481
00:26:23,680 --> 00:26:26,960
Speaker 1: a disaster, we will start firing these stories out there

482
00:26:27,000 --> 00:26:29,080
Speaker 1: and we'll sink you before you get off the ground.

483
00:26:29,440 --> 00:26:34,760
Speaker 1: Could be a possibility. What about the Republicans? President Trump

484
00:26:34,840 --> 00:26:36,000
Speaker 1: was asked directly about this.

485
00:26:36,800 --> 00:26:40,800
Speaker 11: Do you agree that the heir apparent to Mega is

486
00:26:40,880 --> 00:26:41,520
Speaker 11: Jade Vance?

487
00:26:41,640 --> 00:26:41,760
Speaker 13: Well?

488
00:26:41,760 --> 00:26:44,640
Speaker 10: I think most likely, in all fairness, he's the vice president.

489
00:26:44,720 --> 00:26:48,280
Speaker 10: I think Marco is also somebody that maybe would get

490
00:26:48,320 --> 00:26:51,600
Speaker 10: together with JD in some form. I also think We

491
00:26:51,680 --> 00:26:53,920
Speaker 10: have incredible people, some of the people in the stage

492
00:26:54,000 --> 00:26:56,919
Speaker 10: right here. So it's too early obviously to talk about it,

493
00:26:56,960 --> 00:26:59,240
Speaker 10: but certainly he's doing a great job and he would

494
00:26:59,240 --> 00:27:02,160
Speaker 10: be uh probably favorite at this point.

495
00:27:04,320 --> 00:27:06,840
Speaker 1: Take a look at these two guys on screen. That

496
00:27:06,880 --> 00:27:09,960
Speaker 1: would be a dream team in my opinion. A Vance

497
00:27:10,080 --> 00:27:14,080
Speaker 1: Rubio ticket signed, sealed, delivered. I'm in Rubio has really

498
00:27:14,080 --> 00:27:16,800
Speaker 1: really impressed me. Vance I knew was gonna be good.

499
00:27:16,880 --> 00:27:18,440
Speaker 1: Rubio has been fantastic.

500
00:27:19,080 --> 00:27:19,480
Speaker 2: All right.

501
00:27:20,040 --> 00:27:23,160
Speaker 1: Now on do a executive order that President Trump could

502
00:27:23,240 --> 00:27:25,480
Speaker 1: sign literally at any minute, maybe by the end of

503
00:27:25,480 --> 00:27:30,280
Speaker 1: the week. This is to target banks who deplatform people

504
00:27:30,400 --> 00:27:33,360
Speaker 1: debank them for political reasons.

505
00:27:33,400 --> 00:27:35,120
Speaker 2: We know this happened to Jay six Ers.

506
00:27:35,400 --> 00:27:37,720
Speaker 1: We know what happened to gun store owners, it happened

507
00:27:37,720 --> 00:27:41,280
Speaker 1: to conservative commentators, and of course it happened to President

508
00:27:41,280 --> 00:27:42,280
Speaker 1: Trump himself.

509
00:27:42,320 --> 00:27:45,760
Speaker 15: Cut six I had hundreds of millions, I had many

510
00:27:45,800 --> 00:27:48,399
Speaker 15: many accounts loaded.

511
00:27:48,080 --> 00:27:48,800
Speaker 8: Up with cash.

512
00:27:48,880 --> 00:27:52,480
Speaker 15: I was loaded up with cash, and they tell me,

513
00:27:52,920 --> 00:27:55,880
Speaker 15: I'm sorry, sir, we can't have you. You have twenty

514
00:27:56,000 --> 00:27:59,080
Speaker 15: days to get out. I shaid, you got to be kidding.

515
00:27:59,119 --> 00:28:02,520
Speaker 15: I've been with you for thirty five forty years.

516
00:28:03,240 --> 00:28:07,359
Speaker 1: Well, it also happened to just about anybody who was

517
00:28:07,400 --> 00:28:10,919
Speaker 1: aligned with President Trump worked for President Trump. One of

518
00:28:10,960 --> 00:28:13,120
Speaker 1: those men is a good friend of this program, former

519
00:28:13,160 --> 00:28:16,639
Speaker 1: Trump attorney and Claremont Institute senior fellow. He is a

520
00:28:16,720 --> 00:28:18,320
Speaker 1: d banking victim himself.

521
00:28:18,400 --> 00:28:20,560
Speaker 2: John Eastman is back with us. John, great to have

522
00:28:20,640 --> 00:28:20,879
Speaker 2: you on.

523
00:28:22,000 --> 00:28:24,600
Speaker 16: Thanks, thanks very much. And this is a very important story.

524
00:28:24,680 --> 00:28:26,760
Speaker 16: It's like pulling the thread on a Twitter. It's going

525
00:28:26,800 --> 00:28:28,119
Speaker 16: to unravel fairly quickly.

526
00:28:28,200 --> 00:28:28,720
Speaker 17: I think.

527
00:28:30,119 --> 00:28:32,560
Speaker 1: I was going to say that probably if all the

528
00:28:32,600 --> 00:28:35,400
Speaker 1: executive orders to you, this one must mean a lot.

529
00:28:35,440 --> 00:28:36,520
Speaker 2: Tell me what happened to you.

530
00:28:37,640 --> 00:28:40,600
Speaker 16: Well, in September of twenty twenty three, we were out

531
00:28:40,600 --> 00:28:42,640
Speaker 16: of town. So by the time we got back and

532
00:28:42,680 --> 00:28:44,840
Speaker 16: got our mail that we only had like three days,

533
00:28:45,200 --> 00:28:49,200
Speaker 16: had a letter from Bank of America saying we're exercising

534
00:28:49,200 --> 00:28:52,760
Speaker 16: our rite under our contract toposure account. If you want

535
00:28:52,760 --> 00:28:55,800
Speaker 16: more information, call this number. And I call the number

536
00:28:55,840 --> 00:28:58,760
Speaker 16: and it's a food you know, food Tree, Poching, And

537
00:28:58,800 --> 00:29:02,400
Speaker 16: you finally get to the recorded message and it says,

538
00:29:02,440 --> 00:29:04,840
Speaker 16: this is a recorded message, our policy is not to

539
00:29:04,840 --> 00:29:09,880
Speaker 16: give you any additional information, and basically stuff it. There's

540
00:29:09,920 --> 00:29:14,440
Speaker 16: no further appeal. We're done. With you, and and so

541
00:29:14,520 --> 00:29:17,080
Speaker 16: that was the additional information their letters that I could

542
00:29:17,080 --> 00:29:21,160
Speaker 16: obtain by calling them. And then and then three months later,

543
00:29:21,240 --> 00:29:24,360
Speaker 16: the USAA, or we also had bank accounts, did the

544
00:29:24,360 --> 00:29:28,080
Speaker 16: same thing. Now, USAA is very interesting. My wife's father

545
00:29:28,280 --> 00:29:30,920
Speaker 16: served in the Navy in World War Two and then

546
00:29:30,960 --> 00:29:34,000
Speaker 16: the Marines in Korea, and because of that, we were

547
00:29:34,040 --> 00:29:38,000
Speaker 16: eligible to be in USAA. They catered to military members

548
00:29:38,000 --> 00:29:42,480
Speaker 16: and their family and USA handled us without any explanation,

549
00:29:42,600 --> 00:29:45,520
Speaker 16: same type of drill, you know, phone number, call for

550
00:29:45,560 --> 00:29:47,720
Speaker 16: more information, and then they refused to give you any

551
00:29:47,720 --> 00:29:53,200
Speaker 16: more information. We've subsequently learned that usaa's boardroom had kind

552
00:29:53,240 --> 00:29:57,240
Speaker 16: of gone lefty uh woke, as they say. Bank of

553
00:29:57,280 --> 00:29:59,440
Speaker 16: America is based in San Francisco. It had been that

554
00:29:59,480 --> 00:30:01,800
Speaker 16: way for a long time, which is why we only

555
00:30:01,840 --> 00:30:05,040
Speaker 16: had nominal accounts there. We didn't do it. We kept

556
00:30:05,080 --> 00:30:09,640
Speaker 16: our atoms and that sort of thing. But so they

557
00:30:09,680 --> 00:30:12,280
Speaker 16: were playing this game. You know, they were checking people

558
00:30:12,320 --> 00:30:15,160
Speaker 16: if you were buying at Dick's Sporting Goods, you were

559
00:30:15,160 --> 00:30:20,800
Speaker 16: buying guns lawfully or ammunition, or you were going hunting

560
00:30:20,880 --> 00:30:23,480
Speaker 16: or any of these things. They were really they were

561
00:30:23,520 --> 00:30:27,360
Speaker 16: really determining what they thought was appropriate conduct on American

562
00:30:27,400 --> 00:30:30,800
Speaker 16: citizens to their customers. So that's that's one aspect of this.

563
00:30:30,920 --> 00:30:32,440
Speaker 16: But the thing that I think is going to get

564
00:30:32,520 --> 00:30:36,120
Speaker 16: unraveled is a deeper deep state problem, and that is

565
00:30:36,200 --> 00:30:41,000
Speaker 16: I suspect that a lot of the banking regulators were

566
00:30:41,120 --> 00:30:45,120
Speaker 16: harassing these banks where our accounts were demanding to look

567
00:30:45,160 --> 00:30:47,600
Speaker 16: at all of our transactions to see if they could

568
00:30:47,640 --> 00:30:52,360
Speaker 16: find some connection to J six. Maybe I supported somebody

569
00:30:52,360 --> 00:30:54,840
Speaker 16: buying a bus ticket to go to the rally or whatever.

570
00:30:55,400 --> 00:30:56,200
Speaker 2: And you know, for a.

571
00:30:56,160 --> 00:30:59,120
Speaker 16: Small personal account, it's just not worth to have to

572
00:30:59,240 --> 00:31:02,000
Speaker 16: let the banking regulators are breathing down your neck every

573
00:31:02,000 --> 00:31:04,200
Speaker 16: other week asking for transactional data.

574
00:31:06,680 --> 00:31:08,560
Speaker 1: Let me play a clip for you, John, because you

575
00:31:08,720 --> 00:31:12,400
Speaker 1: mentioned Bank of America, and it's interesting because the CEO

576
00:31:12,560 --> 00:31:15,440
Speaker 1: Bank of America backs your claim up there that the

577
00:31:15,520 --> 00:31:17,240
Speaker 1: regulators were coming after them.

578
00:31:17,360 --> 00:31:19,320
Speaker 2: Roll cut nine guys for John.

579
00:31:20,080 --> 00:31:22,120
Speaker 18: But look, the President's after the right thing, which is

580
00:31:22,520 --> 00:31:27,120
Speaker 18: the laws, rules and regulations around our industry became used

581
00:31:27,120 --> 00:31:30,720
Speaker 18: to cause things to happen. It's was BSAML, where was KYC.

582
00:31:31,000 --> 00:31:34,040
Speaker 18: Whether it's reputational risk and you hear Tim Scott quote

583
00:31:34,040 --> 00:31:35,520
Speaker 18: about it, it is right to go look at these

584
00:31:35,600 --> 00:31:38,120
Speaker 18: rules because the end of the day, they are causing

585
00:31:38,440 --> 00:31:40,320
Speaker 18: decisions to be made that can be looked at and

586
00:31:40,360 --> 00:31:41,640
Speaker 18: retrospect differently.

587
00:31:41,680 --> 00:31:42,880
Speaker 8: We should get these rules right.

588
00:31:44,200 --> 00:31:44,520
Speaker 2: All right.

589
00:31:44,840 --> 00:31:48,160
Speaker 1: That's his very quiet way of saying, cause things to happen,

590
00:31:48,640 --> 00:31:51,400
Speaker 1: like d Bank. John Eastman, who was an attorney for

591
00:31:51,520 --> 00:31:53,120
Speaker 1: Donald Trump fighting the election.

592
00:31:55,200 --> 00:31:57,040
Speaker 16: Yeah, no, you know, I don't want to let him

593
00:31:57,040 --> 00:31:59,880
Speaker 16: off the hook entirely because when President Trump called him

594
00:31:59,880 --> 00:32:02,640
Speaker 16: out out in the zoom call meeting he did with

595
00:32:02,720 --> 00:32:07,160
Speaker 16: the Davos gathering, they denied that they'd ever done anything

596
00:32:07,240 --> 00:32:09,720
Speaker 16: like this, and I fired back with them on my

597
00:32:09,840 --> 00:32:12,560
Speaker 16: Twitter account in response to them, I said, oh, yeah,

598
00:32:12,600 --> 00:32:14,959
Speaker 16: so why'd you cancel me? And that got about one

599
00:32:15,000 --> 00:32:17,800
Speaker 16: point five million hits in the next forty eight hours.

600
00:32:18,240 --> 00:32:20,400
Speaker 16: So they were clearly doing this.

601
00:32:20,800 --> 00:32:21,200
Speaker 2: They were.

602
00:32:22,080 --> 00:32:25,320
Speaker 16: Yeah, maybe the regulators were encouraging him to do it,

603
00:32:25,400 --> 00:32:29,000
Speaker 16: but they were doing it, you know, kind of fully

604
00:32:29,040 --> 00:32:31,440
Speaker 16: willingly instead of fighting it. And there's a couple of

605
00:32:31,480 --> 00:32:34,960
Speaker 16: things that the regulators doing this. They're doing it without

606
00:32:35,000 --> 00:32:39,040
Speaker 16: any warrants based on probable cause. They're going after people's

607
00:32:39,040 --> 00:32:43,840
Speaker 16: financial tracks actions it appears without warrants without probable cause,

608
00:32:43,920 --> 00:32:47,640
Speaker 16: and they're tolling the banks that they cannot do anything

609
00:32:47,680 --> 00:32:51,480
Speaker 16: about it. They can't tell their clients, their customers that

610
00:32:51,640 --> 00:32:55,080
Speaker 16: they're panning this data over to federal regulators. Same thing

611
00:32:55,200 --> 00:32:58,080
Speaker 16: happened in Arizona and the criminal charges against me. They

612
00:32:58,080 --> 00:33:01,920
Speaker 16: throw search warrants on Google for all of our email accounts,

613
00:33:01,920 --> 00:33:04,480
Speaker 16: and God, they got my brother in law's account because

614
00:33:04,520 --> 00:33:07,080
Speaker 16: he had died and I had access to it. They

615
00:33:07,120 --> 00:33:10,320
Speaker 16: got my father in law's account, same thing. My secretary

616
00:33:10,400 --> 00:33:13,160
Speaker 16: asked me to be her executor, so I had her account.

617
00:33:13,680 --> 00:33:17,120
Speaker 16: They got search warrants for all of those accounts, and

618
00:33:17,200 --> 00:33:19,480
Speaker 16: Google is sold. They couldn't tell us about it until

619
00:33:19,520 --> 00:33:24,520
Speaker 16: after the fact. And so this notion that our investigative,

620
00:33:24,640 --> 00:33:30,760
Speaker 16: our law enforcement, our banking regulators are interfering with transactions

621
00:33:30,760 --> 00:33:35,400
Speaker 16: and inspecting transactions of American citizens without warrants is an

622
00:33:35,520 --> 00:33:39,360
Speaker 16: outrage abuse of the Fourth Amendment of the Constitution, among

623
00:33:39,440 --> 00:33:40,040
Speaker 16: other things.

624
00:33:40,800 --> 00:33:42,040
Speaker 2: Here's what I would offer up.

625
00:33:42,080 --> 00:33:44,200
Speaker 1: President Trump's got to sign this executive order, and then

626
00:33:44,240 --> 00:33:46,360
Speaker 1: Congress has to do something on their end to put

627
00:33:46,400 --> 00:33:48,760
Speaker 1: this in the law. So when a new president comes back,

628
00:33:48,840 --> 00:33:52,160
Speaker 1: in god forbid, it's a Democrat, they don't just end

629
00:33:52,160 --> 00:33:53,440
Speaker 1: President Trump's executive order.

630
00:33:53,520 --> 00:33:56,400
Speaker 2: They go back to persecuting conservatives again. So we've got

631
00:33:56,400 --> 00:33:57,200
Speaker 2: to get this in law.

632
00:33:57,280 --> 00:33:59,440
Speaker 1: Like so many other executive orders, the President Trump is

633
00:33:59,480 --> 00:34:02,720
Speaker 1: offered up John Eastman, I always tell you I feel

634
00:34:02,760 --> 00:34:05,240
Speaker 1: for what you went through, but I'm grateful you should

635
00:34:05,360 --> 00:34:08,040
Speaker 1: so strong. It's really an inspiration. We always love having

636
00:34:08,040 --> 00:34:08,920
Speaker 1: you on the program.

637
00:34:09,560 --> 00:34:11,200
Speaker 16: Thanks very much, Grant, take care.

638
00:34:11,800 --> 00:34:14,160
Speaker 2: Absolutely, you two. All right, folks.

639
00:34:14,239 --> 00:34:18,680
Speaker 1: Up next, there are challenges facing the construction of President

640
00:34:18,680 --> 00:34:21,920
Speaker 1: Trump's Golden Dome missile defense project.

641
00:34:22,320 --> 00:34:23,959
Speaker 2: Can we really get this done?

642
00:34:24,080 --> 00:34:37,640
Speaker 1: We'll talk about that next, all right, The Golden Dome,

643
00:34:37,680 --> 00:34:41,640
Speaker 1: our missile defense system the President Trump talked so fondly

644
00:34:41,680 --> 00:34:44,240
Speaker 1: of I believe America needs, and it's been talked about

645
00:34:44,560 --> 00:34:46,880
Speaker 1: going all the way back to Ronald Reagan. This was

646
00:34:47,520 --> 00:34:50,640
Speaker 1: Jeff Flock, a Fox Business reporter, getting a look at

647
00:34:50,640 --> 00:34:52,080
Speaker 1: the Golden Dome project.

648
00:34:52,160 --> 00:34:55,640
Speaker 19: Cut four earlier this week, the company tested what is

649
00:34:55,719 --> 00:34:59,600
Speaker 19: the biggest, most powerful solid rocket booster ever built to date.

650
00:35:00,239 --> 00:35:01,240
Speaker 2: We were there for the test.

651
00:35:01,880 --> 00:35:10,279
Speaker 19: Listen and watch four million pounds of thrust technology that

652
00:35:10,360 --> 00:35:12,960
Speaker 19: one day could be used in the Golden Dome project.

653
00:35:13,360 --> 00:35:16,160
Speaker 19: We talked exclusively to doctor Rob Fleming. He is the

654
00:35:16,200 --> 00:35:19,040
Speaker 19: president of a space division at Northrop Grumman, and he

655
00:35:19,120 --> 00:35:22,239
Speaker 19: says Golden Dome could come sooner than anyone expects.

656
00:35:24,160 --> 00:35:26,000
Speaker 2: All right, is that true?

657
00:35:26,360 --> 00:35:29,720
Speaker 1: Well, joining me now is the CEO and co founder

658
00:35:29,840 --> 00:35:35,760
Speaker 1: of Phantom Space Corporation. Former SpaceX vice president Jim Cantrell

659
00:35:35,960 --> 00:35:36,680
Speaker 1: is back with us.

660
00:35:36,840 --> 00:35:37,959
Speaker 2: Jim, welcome back.

661
00:35:38,520 --> 00:35:39,239
Speaker 8: Agree.

662
00:35:40,320 --> 00:35:43,680
Speaker 1: All right, you had told me there's some challenges to this.

663
00:35:43,800 --> 00:35:46,080
Speaker 1: What's your biggest concern about Golden Dome.

664
00:35:47,320 --> 00:35:49,400
Speaker 8: Yeah, it's the scale of it. So this is not

665
00:35:49,480 --> 00:35:50,160
Speaker 8: a new idea.

666
00:35:50,320 --> 00:35:53,200
Speaker 20: We used to call this brilliant pebbles back in the

667
00:35:53,480 --> 00:35:56,440
Speaker 20: Clinton arrow, and I guess we were worried about intelligence,

668
00:35:56,480 --> 00:35:58,799
Speaker 20: and now we call it Golden Dome, where we're worried

669
00:35:58,800 --> 00:36:02,759
Speaker 20: about economics. But the problem is still the same, which

670
00:36:02,800 --> 00:36:07,320
Speaker 20: is energetics and scale. So you know, missile defense today

671
00:36:08,000 --> 00:36:10,880
Speaker 20: is a bunch of rockets in the ground for really

672
00:36:10,920 --> 00:36:14,440
Speaker 20: Alaska other places that are meant to shoot it at

673
00:36:14,520 --> 00:36:17,520
Speaker 20: warheads that are shot at us by our enemies and

674
00:36:17,600 --> 00:36:20,360
Speaker 20: intercept them in space. So these warheads go through space,

675
00:36:21,040 --> 00:36:23,799
Speaker 20: so that the ability to shoot down a lot of

676
00:36:23,800 --> 00:36:26,719
Speaker 20: warheads is pretty limited by how many of these interceptors

677
00:36:26,719 --> 00:36:29,839
Speaker 20: we have. So the idea of golden domes put these

678
00:36:29,840 --> 00:36:33,040
Speaker 20: all into space, and that we shoot them down as

679
00:36:33,080 --> 00:36:35,040
Speaker 20: they come through space. So we're just kind of sitting

680
00:36:35,080 --> 00:36:39,480
Speaker 20: there watching them. So the real problem, Grant, is how

681
00:36:39,560 --> 00:36:42,239
Speaker 20: do you get all that information on where these warheads are,

682
00:36:42,280 --> 00:36:45,080
Speaker 20: which ones are real? Because our enemies will put things

683
00:36:45,120 --> 00:36:47,239
Speaker 20: in there that look like warheads that aren't, so they're

684
00:36:47,280 --> 00:36:48,960
Speaker 20: hoping we're going to be shoot at the wrong stuff.

685
00:36:49,520 --> 00:36:52,680
Speaker 20: And how do you get that targeting information to the

686
00:36:52,719 --> 00:36:55,680
Speaker 20: interceptors in space? And then the other side of it

687
00:36:55,760 --> 00:36:58,520
Speaker 20: is how do you get that many interceptors up a

688
00:36:58,560 --> 00:36:59,280
Speaker 20: lot of estments.

689
00:36:59,320 --> 00:37:00,440
Speaker 8: I'm seeing talking.

690
00:37:00,280 --> 00:37:03,320
Speaker 20: About eighteen hundred to two thousand of these interceptors in space.

691
00:37:04,680 --> 00:37:07,040
Speaker 1: And these interceptors, I mean, I don't know if I'm

692
00:37:07,040 --> 00:37:11,720
Speaker 1: totally oversimplifying this, but are they in orbit above above

693
00:37:11,800 --> 00:37:15,200
Speaker 1: Earth and they're acting as if they're guns in space?

694
00:37:15,239 --> 00:37:17,520
Speaker 1: It would then be shooting these incoming missiles out of

695
00:37:17,560 --> 00:37:17,880
Speaker 1: the sky.

696
00:37:18,800 --> 00:37:21,680
Speaker 8: Yeah, So yes, essentially that's it.

697
00:37:22,320 --> 00:37:24,480
Speaker 20: In the old days, back in the early seventies, we

698
00:37:24,560 --> 00:37:27,359
Speaker 20: used to do it with nuclear weapons to take these

699
00:37:27,360 --> 00:37:29,400
Speaker 20: things out. That there's all sorts of bad things that

700
00:37:29,440 --> 00:37:32,600
Speaker 20: happens when you set off nuclear weapons to take out

701
00:37:32,640 --> 00:37:33,760
Speaker 20: an incoming missile field.

702
00:37:33,760 --> 00:37:36,360
Speaker 8: The cure is worse than the disease, and.

703
00:37:36,280 --> 00:37:39,160
Speaker 20: So what the new modern ones do is that's hit

704
00:37:39,200 --> 00:37:42,839
Speaker 20: to kill, So it's basically a bullet. So these interceptors

705
00:37:42,880 --> 00:37:47,160
Speaker 20: would then propel themselves towards the nuclear warhead and simply

706
00:37:47,239 --> 00:37:49,560
Speaker 20: ran into them, like you know some crazy person might

707
00:37:49,600 --> 00:37:50,560
Speaker 20: do to you on a freeway.

708
00:37:51,560 --> 00:37:54,400
Speaker 1: So it sounds to me like we've got a technological

709
00:37:54,800 --> 00:37:58,040
Speaker 1: issue where we've got to figure out where they're coming from,

710
00:37:58,080 --> 00:38:01,640
Speaker 1: where they are, if they're real, they're not real, I'm sure.

711
00:38:01,480 --> 00:38:03,359
Speaker 2: AI I'll play a role in all of that.

712
00:38:03,800 --> 00:38:05,920
Speaker 1: And then you've got the physical issue of getting this

713
00:38:06,160 --> 00:38:09,880
Speaker 1: system into space to actually work and shoot them out

714
00:38:09,920 --> 00:38:12,040
Speaker 1: of the ground, and you've got to connect those two.

715
00:38:12,520 --> 00:38:14,600
Speaker 2: Are we close to making that happen?

716
00:38:15,719 --> 00:38:16,360
Speaker 8: I don't think so.

717
00:38:17,160 --> 00:38:19,120
Speaker 20: You know, we've been talking about this for at least

718
00:38:19,120 --> 00:38:22,239
Speaker 20: thirty years that I've been in this business, and I

719
00:38:22,320 --> 00:38:25,279
Speaker 20: worked on Brillian Pebble's way back in the day in

720
00:38:25,800 --> 00:38:31,080
Speaker 20: the nineties, and so we still haven't made the kinds

721
00:38:31,120 --> 00:38:33,840
Speaker 20: of strides we need to in terms of space launch

722
00:38:34,160 --> 00:38:37,440
Speaker 20: to getting things into space. We certainly have been able

723
00:38:37,480 --> 00:38:40,719
Speaker 20: to figure out how to hit the warheads. You know,

724
00:38:40,800 --> 00:38:43,719
Speaker 20: ray Down in particular builds the interceptors and has done

725
00:38:43,719 --> 00:38:46,719
Speaker 20: a great job at it. But to scale that up right,

726
00:38:46,800 --> 00:38:50,560
Speaker 20: that's been a real problem to build thousands of these.

727
00:38:51,200 --> 00:38:52,439
Speaker 8: We haven't figured that out.

728
00:38:52,680 --> 00:38:56,000
Speaker 20: And part of the problem is sort of the military

729
00:38:56,000 --> 00:39:02,360
Speaker 20: industrial complex culture and its abundantly slow. And maybe you

730
00:39:02,400 --> 00:39:04,839
Speaker 20: know that kind of caution's warranted because it's a very

731
00:39:04,920 --> 00:39:08,200
Speaker 20: classified environment you have to work in, and so you know,

732
00:39:08,239 --> 00:39:10,120
Speaker 20: I don't see a lot of problems for getting going

733
00:39:10,160 --> 00:39:11,960
Speaker 20: on this. I don't mean to pour cold water on

734
00:39:12,000 --> 00:39:14,960
Speaker 20: the idea. I'm a big fan, but I just think, boy,

735
00:39:15,120 --> 00:39:17,680
Speaker 20: the expectation will get this deployed in three years.

736
00:39:17,520 --> 00:39:18,320
Speaker 8: Is just crazy.

737
00:39:19,239 --> 00:39:22,440
Speaker 1: Look, I would imagine and everything you've been involved with

738
00:39:22,480 --> 00:39:26,600
Speaker 1: from space AX to Phantom Space now and all, you're

739
00:39:26,640 --> 00:39:28,839
Speaker 1: not a I'm going to tell you why you can't

740
00:39:28,880 --> 00:39:30,960
Speaker 1: do it guy, I'm sure you've told employees.

741
00:39:31,000 --> 00:39:33,080
Speaker 2: Don't tell me that. Tell me how we can do it.

742
00:39:33,680 --> 00:39:35,400
Speaker 1: I guess the last question for you, if you can

743
00:39:35,480 --> 00:39:39,280
Speaker 1: fairly quickly, is it possible? Can we get it done?

744
00:39:39,440 --> 00:39:42,520
Speaker 1: Maybe just not as quick as we want hunderd percent.

745
00:39:42,680 --> 00:39:46,359
Speaker 20: Yeah, Now, the technologies there that the scaling of it

746
00:39:46,440 --> 00:39:48,759
Speaker 20: is the issue. You know, it's a little bit like

747
00:39:48,800 --> 00:39:50,720
Speaker 20: you know, some of the first cars that were made,

748
00:39:51,080 --> 00:39:53,120
Speaker 20: you know, nobody would have imagined, you know, one hundred

749
00:39:53,160 --> 00:39:55,799
Speaker 20: years later we be building in by the millions. I mean,

750
00:39:55,800 --> 00:39:57,879
Speaker 20: that's the kind of mentality that has to happen here.

751
00:39:57,880 --> 00:40:00,880
Speaker 20: And it's a seat change of culture and capabilities. Just

752
00:40:00,880 --> 00:40:01,960
Speaker 20: gonna take time and money.

753
00:40:02,960 --> 00:40:05,800
Speaker 1: Yeah, well, it is an important project, especially as the

754
00:40:05,800 --> 00:40:09,600
Speaker 1: world gets more and more dangerous. Jim Cantrell, your insight

755
00:40:09,719 --> 00:40:13,279
Speaker 1: into everything space and beyond is really fascinating to me.

756
00:40:13,360 --> 00:40:16,520
Speaker 2: I love having you on. Thank you, sir as always.

757
00:40:16,600 --> 00:40:17,160
Speaker 8: Yeah.

758
00:40:17,600 --> 00:40:21,399
Speaker 2: Absolutely, you got it all right, folks. So we'll see.

759
00:40:21,440 --> 00:40:23,040
Speaker 2: I mean, you know, look, if anybody can.

760
00:40:22,880 --> 00:40:25,040
Speaker 1: Build something, now, I know President Trump's used to building

761
00:40:25,080 --> 00:40:28,920
Speaker 1: towers and golf courses, but if you can build one thing,

762
00:40:28,960 --> 00:40:30,880
Speaker 1: I'm sure you can put the right people together to

763
00:40:30,880 --> 00:40:33,399
Speaker 1: build another. I got faith in President Trump.

764
00:40:33,440 --> 00:40:35,279
Speaker 2: It may take a little longer, we expect them.

765
00:40:35,680 --> 00:40:38,480
Speaker 1: What is ending up in our meat supply, folks, And

766
00:40:38,560 --> 00:40:39,919
Speaker 1: how does this affect us?

767
00:40:40,520 --> 00:40:43,359
Speaker 2: This is pretty gross. When I show you this, we'll

768
00:40:43,360 --> 00:40:44,200
Speaker 2: show it to you next.

769
00:40:48,880 --> 00:40:51,200
Speaker 21: So this is a steak I got at a steakhouse

770
00:40:51,440 --> 00:40:55,520
Speaker 21: in Weatherford on my way to a cattle sale in Kansas.

771
00:40:56,680 --> 00:40:58,839
Speaker 21: I should have known at first, because it's really hard

772
00:40:58,880 --> 00:41:01,040
Speaker 21: to get at eight ouncefil a that's truly a filet,

773
00:41:01,120 --> 00:41:03,640
Speaker 21: because they just don't get that big in animals very often.

774
00:41:04,480 --> 00:41:07,720
Speaker 21: Then when it came perfectly around, I should have suspected something.

775
00:41:09,360 --> 00:41:10,680
Speaker 21: I ate a little bit of it and I thought,

776
00:41:10,680 --> 00:41:13,399
Speaker 21: I mean, something's not right. So you can definitely tell

777
00:41:13,440 --> 00:41:17,440
Speaker 21: this is glued together, probably a sirloin that's been tender

778
00:41:17,440 --> 00:41:19,560
Speaker 21: eyes and glued together to look like a filet, not

779
00:41:19,640 --> 00:41:20,080
Speaker 21: a fola.

780
00:41:21,600 --> 00:41:22,520
Speaker 2: It's glued together.

781
00:41:23,200 --> 00:41:26,959
Speaker 1: It's called meat glue, and it is used way more

782
00:41:27,000 --> 00:41:29,160
Speaker 1: than you would ever expect that some of the nation's

783
00:41:29,160 --> 00:41:31,960
Speaker 1: biggest grocery stores. You get a steak that's not a

784
00:41:31,960 --> 00:41:35,239
Speaker 1: pillum in young It's a glued together piece of scraps.

785
00:41:36,600 --> 00:41:38,800
Speaker 2: How is it made? I saw this news report.

786
00:41:39,480 --> 00:41:44,200
Speaker 17: This powder is trans glued tane maze enzon, otherwise known

787
00:41:44,480 --> 00:41:48,280
Speaker 17: as meat glue. Meat glues come in a number of forms,

788
00:41:48,520 --> 00:41:53,320
Speaker 17: some produced by cultivating bacteria, the others. The primary ingredient

789
00:41:53,400 --> 00:41:57,560
Speaker 17: comes from the blood plasma of pigs and cattle, specifically

790
00:41:57,880 --> 00:42:00,239
Speaker 17: the coagulant which causes blood to hell.

791
00:42:00,200 --> 00:42:05,719
Speaker 1: Us well it's disgusting. Quite frankly, I believe it can

792
00:42:05,800 --> 00:42:07,040
Speaker 1: actually be dangerous.

793
00:42:07,840 --> 00:42:10,359
Speaker 2: The FDA will tell you though, but I don't know.

794
00:42:10,440 --> 00:42:13,080
Speaker 2: I don't want glue in my body. It's just my opinion.

795
00:42:13,920 --> 00:42:19,200
Speaker 1: You can get all natural beef, no vaccinations, no hormones,

796
00:42:19,320 --> 00:42:22,400
Speaker 1: all grass fed. Supervides it to you. One of our

797
00:42:22,440 --> 00:42:25,080
Speaker 1: greatest sponsors, the Wellness Company. You can find them at

798
00:42:25,320 --> 00:42:31,400
Speaker 1: TWC dot health forward slash rav TWC dot hell. Excuse me,

799
00:42:31,440 --> 00:42:35,200
Speaker 1: forward slash voice, TWC dot Hell forward slash voice click

800
00:42:35,200 --> 00:42:39,800
Speaker 1: on Wellness Farms. This is locally grown cattle.

801
00:42:40,400 --> 00:42:41,520
Speaker 2: You're not gonna have meat.

802
00:42:41,320 --> 00:42:44,839
Speaker 1: Glue coming from Wellness Farms, and stuff's great. I want

803
00:42:44,840 --> 00:42:48,680
Speaker 1: to bring in now, director of epigenetics at the Wellness Company,

804
00:42:48,719 --> 00:42:49,440
Speaker 1: doctor Ben.

805
00:42:49,280 --> 00:42:51,840
Speaker 2: Tapper, is with us. Doctor Tapper, it's great to have

806
00:42:51,880 --> 00:42:52,879
Speaker 2: you on the program.

807
00:42:53,120 --> 00:42:54,400
Speaker 22: Yeah, Gret, thanks for having me.

808
00:42:54,480 --> 00:42:55,879
Speaker 8: It's good to be here, all right.

809
00:42:56,239 --> 00:42:59,560
Speaker 1: So, quite frankly, this is pretty gross. Let's take the

810
00:42:59,560 --> 00:43:02,160
Speaker 1: Wellness Farm site off the screen, because when I'm talking

811
00:43:02,160 --> 00:43:05,520
Speaker 1: about gross speed, I don't want any association with that.

812
00:43:05,520 --> 00:43:06,920
Speaker 2: That is the gross stuff.

813
00:43:07,480 --> 00:43:12,319
Speaker 22: How prevalent is this, It's extremely prevalent. So this is

814
00:43:12,360 --> 00:43:14,520
Speaker 22: the hard hitting fact. I'm so glad to be talking

815
00:43:14,560 --> 00:43:18,400
Speaker 22: about this because this is not just transglutaminase. Transglutminase is

816
00:43:18,400 --> 00:43:20,520
Speaker 22: a normal enzyme that's found in the body. There's actually

817
00:43:20,520 --> 00:43:24,240
Speaker 22: healing properties to that enzyme. But this is a microbial

818
00:43:24,520 --> 00:43:29,279
Speaker 22: derived transglutaminase means that it was derived from a genetically

819
00:43:29,320 --> 00:43:35,920
Speaker 22: modified bacteria, so a GMO bacteria drived transglutaminase, known as

820
00:43:36,239 --> 00:43:39,040
Speaker 22: meat glue. They do this because they can turn a

821
00:43:39,080 --> 00:43:42,239
Speaker 22: seerline into a ribbi which is going to increase profits.

822
00:43:42,800 --> 00:43:44,880
Speaker 22: You can find a lot of these steaks on buffet

823
00:43:44,920 --> 00:43:48,200
Speaker 22: lines or in casinos. You can see them. Eighty percent

824
00:43:48,239 --> 00:43:51,600
Speaker 22: of our processed foods like sausages, even yogurt, believe it

825
00:43:51,719 --> 00:43:54,640
Speaker 22: or not, some of our baked goods in cheeses will

826
00:43:54,760 --> 00:43:58,480
Speaker 22: use this. This is a GMO product and I'm telling you, Grant,

827
00:43:58,560 --> 00:44:01,759
Speaker 22: this is going This is a a nightmare because it

828
00:44:01,840 --> 00:44:05,799
Speaker 22: acts and mimics transgluminates in the body, and transgluminates, like

829
00:44:05,800 --> 00:44:09,880
Speaker 22: I said, has healing properties. This is a GMO bacteria

830
00:44:10,000 --> 00:44:13,160
Speaker 22: drive ingredient that has slipped it into our food and

831
00:44:13,239 --> 00:44:14,080
Speaker 22: causing problems.

832
00:44:15,600 --> 00:44:17,960
Speaker 1: Doc let me show you this clip I found on

833
00:44:18,040 --> 00:44:21,880
Speaker 1: social media. It's quite frankly, it's just disgusting.

834
00:44:21,520 --> 00:44:24,319
Speaker 8: At lease my hand.

835
00:44:24,400 --> 00:44:32,719
Speaker 23: Look check this out, Brian, See that that's glue brin

836
00:44:35,960 --> 00:44:41,160
Speaker 23: and this basically when you cuts it this one. Yeah see,

837
00:44:41,200 --> 00:44:43,680
Speaker 23: I just put it a little bit and it all

838
00:44:43,840 --> 00:44:47,440
Speaker 23: just certain parts just come out like a sections. You see.

839
00:44:47,840 --> 00:44:52,080
Speaker 23: That's a solid piece of meat, but head.

840
00:44:53,719 --> 00:44:56,600
Speaker 1: So the worst part is this is being sold as

841
00:44:56,760 --> 00:45:01,200
Speaker 1: real steaks, not glued together scraps. Wellness companies come up

842
00:45:01,239 --> 00:45:07,320
Speaker 1: with wellness farms doc no vaccinations, no hormones, all grass fed.

843
00:45:07,640 --> 00:45:11,319
Speaker 1: Can you tell me the importance of this compared to

844
00:45:11,360 --> 00:45:13,640
Speaker 1: what you might get at your local grocery store.

845
00:45:14,200 --> 00:45:14,439
Speaker 8: Yeah.

846
00:45:14,480 --> 00:45:17,759
Speaker 22: So basically, we understand that there's massive problems with our

847
00:45:17,800 --> 00:45:20,600
Speaker 22: health industry, so we understand that our food issues are

848
00:45:20,719 --> 00:45:22,560
Speaker 22: just as bad, if not worse. So we wanted to

849
00:45:22,600 --> 00:45:25,520
Speaker 22: know our farmer. That's why this beef. We're going straight

850
00:45:25,560 --> 00:45:27,800
Speaker 22: to the farmer where we saw the cows. I actually

851
00:45:27,840 --> 00:45:31,360
Speaker 22: went to the farm. I know the farmer personally, and

852
00:45:31,440 --> 00:45:35,120
Speaker 22: so we looked at these cows. These are grass fed,

853
00:45:35,239 --> 00:45:39,120
Speaker 22: grass finished, pasture raised cows. These are healthy, happy cows.

854
00:45:39,400 --> 00:45:43,319
Speaker 22: There's no meat glue in this. This is high quality meat,

855
00:45:43,320 --> 00:45:45,319
Speaker 22: the best of the best, and this is what it's

856
00:45:45,360 --> 00:45:48,880
Speaker 22: all about. I don't want to feed meat glued to

857
00:45:48,920 --> 00:45:51,239
Speaker 22: my children. I don't want to eat that. And you know,

858
00:45:51,320 --> 00:45:55,240
Speaker 22: we have a massive problem in our health care system

859
00:45:56,239 --> 00:45:58,759
Speaker 22: and because they're not looking at the food industry, and

860
00:45:58,800 --> 00:46:01,239
Speaker 22: our food industry is not paying attention to health. So

861
00:46:01,239 --> 00:46:04,360
Speaker 22: there's a real disconnect. And so we wanted to go

862
00:46:04,400 --> 00:46:06,319
Speaker 22: to the farmer. And that's where the Wellness Farms comes in.

863
00:46:07,320 --> 00:46:09,480
Speaker 1: Here's what the food industry is paying attention to, just

864
00:46:09,520 --> 00:46:12,319
Speaker 1: like big pharma money and if they can do it

865
00:46:12,440 --> 00:46:14,440
Speaker 1: cheaper and get away with it, they're going to do it.

866
00:46:15,120 --> 00:46:18,000
Speaker 1: That is not the method of the Wellness Company. Everything

867
00:46:18,000 --> 00:46:21,400
Speaker 1: about this company is fabulous. I'm grateful to be associated

868
00:46:21,440 --> 00:46:23,560
Speaker 1: with it. I know you love it. Let me tell

869
00:46:23,600 --> 00:46:25,759
Speaker 1: them how to get to the Wellness Company's website where

870
00:46:25,760 --> 00:46:29,000
Speaker 1: they can get to Wellness Farms and thank you again,

871
00:46:29,080 --> 00:46:29,760
Speaker 1: doctor Tapper.

872
00:46:30,160 --> 00:46:30,719
Speaker 2: Here's what you do.

873
00:46:30,800 --> 00:46:34,440
Speaker 1: Go to TWC, dot Health Forward, slash Voice, use the

874
00:46:34,440 --> 00:46:36,240
Speaker 1: promo code voice.

875
00:46:35,840 --> 00:46:37,080
Speaker 2: To save ten percent.

876
00:46:37,520 --> 00:46:39,560
Speaker 1: And I'm telling you, everyone I have talked to that

877
00:46:39,640 --> 00:46:42,840
Speaker 1: has had these stakes all agree it is some of

878
00:46:42,920 --> 00:46:45,480
Speaker 1: the best meat they have ever had.

879
00:46:45,600 --> 00:46:47,360
Speaker 2: And that is not an overestimation.

880
00:46:47,760 --> 00:46:52,440
Speaker 1: TWC Dot Health Forward slash voice use the promo code voice.

881
00:46:52,640 --> 00:46:55,600
Speaker 1: All right, left this want to ice out Trump. We

882
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Speaker 1: will see their new aggressive tactics next. We should just

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Speaker 1: call this segment the dopey dem segment.

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Speaker 2: Watch.

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Speaker 24: This is your sign to take the name of that

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Speaker 24: orange clown who we all collectively hate worldwide. Put it

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Speaker 24: on a piece of paper, put it in a jar,

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Speaker 24: Seal that jar, and put it in the back of

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Speaker 24: your freezer. He wants to use ice against us, well

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Speaker 24: we can ice him out to baby.

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Speaker 1: Ooh, that's gonna really get Trump on that one.

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Speaker 2: We're so scared of all.

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Speaker 8: You folks putting names in freezers.

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Speaker 1: These people are nuts and they wonder why they lose.

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Speaker 1: This is why it's gonna do it for us. Stinchfield's

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Speaker 1: Army rolls, see you tomorrow.