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<v Speaker 1>Welcome back and joining us now is Zoe Smith. She

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<v Speaker 1>has set up a website a thrill Kill Medical cult

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<v Speaker 1>dot com. You can also find her on substack. The

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<v Speaker 1>name of the substack is Zoe. That's zwe dot substack

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<v Speaker 1>dot com. And we want to talk to her about

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<v Speaker 1>being a whistleblower and the things that she saw during

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<v Speaker 1>the pandemic lockdown. Zoe worked as a medical coder for

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<v Speaker 1>over a decade. Tell us a little bit about that.

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<v Speaker 1>What was that involved with? Is that for insurance purposes,

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<v Speaker 1>identifying the procedures and putting the right code on it.

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<v Speaker 2>Yeah, Hi, thanks for thanks for being here. Yeah, so

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<v Speaker 2>a medical coder, A lot of people don't even know

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<v Speaker 2>that it exists because you don't really see it as

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<v Speaker 2>a patient.

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<v Speaker 3>But everything that happens to you in a.

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<v Speaker 2>Hospital, clinic, X ray lab, whatever has to have a diagnosed,

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<v Speaker 2>some procedure assigned, and that's how your doctor gets paid.

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<v Speaker 2>So the coder is the one who reviews that documentation,

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<v Speaker 2>assigns the right diagnosis code, assigns the right procedure code,

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<v Speaker 2>and that's what gets put on the bill and that

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<v Speaker 2>your insurance or Medicare uses to pay your doctor, ORB

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<v Speaker 2>or the hospital for their services.

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<v Speaker 3>So it's really boring until would happen.

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<v Speaker 1>Then you had a bird's eye view of what was

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<v Speaker 1>going on. I was just telling you off air, I said,

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<v Speaker 1>the AHA moment for me was the aha the American

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<v Speaker 1>Hospital Association, and I believe it was August of twenty twenty.

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<v Speaker 1>I've talked about this many times. They got very upset

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<v Speaker 1>because they said to CMS, who was paying them. They said,

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<v Speaker 1>you told us that we didn't have to have a

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<v Speaker 1>PCR documentation for this. He said that you didn't have

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<v Speaker 1>enough of them, and you said they didn't work, and

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<v Speaker 1>you said, we just pointed somebody to a clinical diagnosis,

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<v Speaker 1>and you would give us a twenty percent bonus on

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<v Speaker 1>everything that we did to the people, as well as

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<v Speaker 1>the upfront cash bonus of thirteen thousand dollars. And now

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<v Speaker 1>you want to have this new requirement. You know that's

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<v Speaker 1>not fair. And so they were complaining because they weren't

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<v Speaker 1>getting paid, and it kind of exposed the whole thing,

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<v Speaker 1>except nobody would cover that. It was amazing to me

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<v Speaker 1>how there was dead silence everywhere about that. I mean,

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<v Speaker 1>you incentiviize people to that degree. And I would always

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<v Speaker 1>say to people, look the money is the issue. You know.

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<v Speaker 1>The decoration of the emergency by Trump unleashed the money

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<v Speaker 1>and then they put out these rules through CMS and

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<v Speaker 1>paid these people to kill is really what was happening.

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<v Speaker 1>And that's what you saw as well.

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<v Speaker 3>Right, Yeah, that's they did.

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<v Speaker 2>I don't know if you're familiar with the vaxed bus,

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<v Speaker 2>but Children's Health Defense they sent out a third one.

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<v Speaker 2>So they've done a part one, part two, and now

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<v Speaker 2>part three. The part three is called authorized to kill

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<v Speaker 2>for that reason because the CARES Act really did. It

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<v Speaker 2>incentivized a behavior change in hospitals and with positions and

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<v Speaker 2>how they were able to practice medicine. It set everything

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<v Speaker 2>on its head and it incentivizes everything. What you're talking about,

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<v Speaker 2>what the AGA said about you didn't even need a

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<v Speaker 2>PCR test result to get that COVID diagnosis is absolutely correct.

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<v Speaker 2>And that was one of the things that I noticed

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<v Speaker 2>in the Pandora's box of things that changed right at

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<v Speaker 2>when they declared two weeks to flatten the curve in

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<v Speaker 2>March twenty twenty, they changed all the coding roles as well,

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<v Speaker 2>so they April first, twenty twenty is when the COVID

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<v Speaker 2>nineteen diagnosis went into effect, and we were actually told

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<v Speaker 2>to commit fraud before that time because we didn't have

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<v Speaker 2>a code to reflect COVID nineteen and we needed to

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<v Speaker 2>track that so much, and of course everyone had to

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<v Speaker 2>get the PCR test in order to get the diagnosis.

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<v Speaker 2>But then there was this official coding Guideline, which is

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<v Speaker 2>what we use as coders.

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<v Speaker 3>It's like our bible.

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<v Speaker 2>It tells us what's correct, what's fraud, and it's essentially

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<v Speaker 2>it lays.

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<v Speaker 3>Out the rules.

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<v Speaker 2>And in those rules, there's a part that says, in

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<v Speaker 2>order to be diagnosed with COVID nineteen, all your position

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<v Speaker 2>needs to do is write down in their medical opinion

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<v Speaker 2>that they think that you have COVID nineteen. They didn't

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<v Speaker 2>need to do an exam, they didn't need to have

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<v Speaker 2>a PCR test result, and it says right in that

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<v Speaker 2>official guideline. This is an exception to section two H

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<v Speaker 2>in patient Coding Guidelines, which says for every other diagnosis

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<v Speaker 2>they have to do an exam and they have to

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<v Speaker 2>have some sort of clinical documentation, usually some sort of

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<v Speaker 2>lab work or diagnostics to prove their working diagnosis.

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<v Speaker 3>So COVID was an exception for.

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<v Speaker 2>That, and that was one of the really big red

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<v Speaker 2>flags that came up for me, And of course I

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<v Speaker 2>noticed in my position, not only is everyone getting this

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<v Speaker 2>PCR test when we come in, they're not all sick,

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<v Speaker 2>but then they get this COVID nineteen diagnosis. And the

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<v Speaker 2>part that most people that still a lot of people aren't.

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<v Speaker 3>Familiar with is when they did the two weeks.

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<v Speaker 2>To flatten the curve and they locked down everybody. They

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<v Speaker 2>actually kicked people out of the ICU early, and they

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<v Speaker 2>shut down other wings of the hospital. They went down

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<v Speaker 2>to a skeleton crew, so they consolidated wings within the hospital,

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<v Speaker 2>so the ER and the ICU stayed open, but the

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<v Speaker 2>rest of the hospital was shut down.

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<v Speaker 3>We were getting.

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<v Speaker 2>Furloughed and laid off and hiring freezes and no raises,

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<v Speaker 2>no bonuses.

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<v Speaker 3>During the time when the media was saying.

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<v Speaker 2>These healthcare heroes are showing up to fight the onslaught.

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<v Speaker 3>Of COVID nineteen patients. What was an onslaught of false

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<v Speaker 3>positive tests, But it wasn't an onslaught of a whole

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<v Speaker 3>bunch of patients. We were getting furloughed.

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<v Speaker 2>So the hospital really really needed that money because they

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<v Speaker 2>were bankrupted right before those incentives came out, so they

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<v Speaker 2>really needed those incentives, so they were absolutely excited to

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<v Speaker 2>label someone as COVID nineteen at that twenty percent diagnosis,

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<v Speaker 2>and then he come up to the ventilator, which they

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<v Speaker 2>got another bonus for, and then the ren does appear,

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<v Speaker 2>which they were giving out like candy during this entire time.

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<v Speaker 2>The bonus really didn't go into effect until August of

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<v Speaker 2>twenty twenty, but they were using it from about April

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<v Speaker 2>all the way through.

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<v Speaker 3>And I noticed how the protocols were killing.

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<v Speaker 2>People, and doctors would just say, oh, this is a

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<v Speaker 2>progression of COVID nineteen. And to this day, a lot

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<v Speaker 2>of people will say, oh, I had a family member

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<v Speaker 2>that died of COVID. They went to the hospital because

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<v Speaker 2>they had COVID and they died of COVID. But I

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<v Speaker 2>asked them, did they really die of COVID or did

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<v Speaker 2>they die of the protocol? Were they not that sick

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<v Speaker 2>until they got there? And then they circled the drain

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<v Speaker 2>because in my experience, most of the patients within sometimes

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<v Speaker 2>a few days to sometimes it took up to a month.

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<v Speaker 2>But those protocols were killing people, shutting down their organs

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<v Speaker 2>and then they would die, and that wasn't normal. To

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<v Speaker 2>have that happen to a pneumonia patient.

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<v Speaker 3>Normally, they'd be there three days, we pump them full

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<v Speaker 3>of antibiotics, which we weren't using for COVID nineteen, and

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<v Speaker 3>then they would go home. So this was totally backwards.

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<v Speaker 2>And then I started to notice all the incentives because

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<v Speaker 2>even as a coder, they have all these checks and

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<v Speaker 2>balances in the electronic medical record system and it counts

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<v Speaker 2>against you if you miss something, So like if I

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<v Speaker 2>missed someone for COVID nineteen, I would get a notice

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<v Speaker 2>about it, like, oh, this is going to count against

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<v Speaker 2>your score and might not get a raised this year

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<v Speaker 2>because you weren't a good coder. And they were watching

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<v Speaker 2>that for Randesevir because the bonuses were so much on

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<v Speaker 2>the bill. Every single Randezevier infusion was four thousand dollars,

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<v Speaker 2>give or take a little bit throughout the country because

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<v Speaker 2>it's weighted based on where you live, so be more

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<v Speaker 2>expensive in New.

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<v Speaker 3>York or California. But around four thousand dollars per dose

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<v Speaker 3>is how much they were getting.

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<v Speaker 1>Yeah, the middle. I interviewed a woman who was a nurse.

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<v Speaker 1>She wrote a book called Pandemic Nurse, and she was

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<v Speaker 1>in Florida, and she said, I wasn't seeing, you know,

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<v Speaker 1>the kind of narrative that they were talking about with

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<v Speaker 1>the pandemic, and everybody was saying it was all happening

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<v Speaker 1>up in New York. So she left and went to

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<v Speaker 1>New York to help and set around for a couple

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<v Speaker 1>of days before after she told them she was there

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<v Speaker 1>before they brought her in. When they finally did bring

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<v Speaker 1>her in, she's like, you know, what's going on. They're

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<v Speaker 1>not busy either. When they brought her in, physician walked around,

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<v Speaker 1>showed the people on the ventilators and said, you know,

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<v Speaker 1>about ninety percent of these people are going to die,

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<v Speaker 1>and she said it was horrible. They were just killing people.

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<v Speaker 1>And of course, when you look at it, if you

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<v Speaker 1>get a thirteen percent, if you get a thirteen thousand

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<v Speaker 1>dollars bonus for pointing at somebody and saying they got COVID,

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<v Speaker 1>they may not even be sick, as you pointed out,

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<v Speaker 1>then if you put them on a ventilator, you get

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<v Speaker 1>thirty nine thousand dollars already right there, You got fifty

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<v Speaker 1>two thousand dollars for a machine that costs you fifty

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<v Speaker 1>thousand dollars. And then they will pay you twenty percent

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<v Speaker 1>on the charges that you've got for them to use

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<v Speaker 1>it until you kill them with that ventilator. And again

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<v Speaker 1>pullmonologists were looking at this and back and said, this

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<v Speaker 1>never made any sense. We never did it, like, as

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<v Speaker 1>you're pointing out, they'd get people antibiotics and things like that,

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<v Speaker 1>so we would never put people on a ventilator, you know,

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<v Speaker 1>for pneumonia or things like that.

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<v Speaker 3>Exactly.

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<v Speaker 1>All of it was so incredibly corrupt and counterintuitive, and

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<v Speaker 1>they turned the hospitals into killing machines for money, and

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<v Speaker 1>everybody who's willing to do that. I mean, if you

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<v Speaker 1>got somebody this there, and even if it wasn't an

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<v Speaker 1>economic emergency that had been created partially by the government,

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<v Speaker 1>you know, if you were to tell somebody, you point

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<v Speaker 1>to that person and say they've got this condition, I'll

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<v Speaker 1>give you thirteen thousand dollars. We know how human nature works,

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<v Speaker 1>and we know how the corporate hospitals work. I mean,

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<v Speaker 1>the incentives to do that are going to be huge,

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<v Speaker 1>just like the disincentives to report somebody when they've had

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<v Speaker 1>a reaction to the vaccines are going to be huge

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<v Speaker 1>as well. Were you still there when they started the

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<v Speaker 1>vaccination program or had you left because you say that

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<v Speaker 1>you left when they made the vaccine mandatory, it happened

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<v Speaker 1>before that.

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<v Speaker 2>I started to wake up during really when they started

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<v Speaker 2>declaring two weeks to flatten the curb and I started

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<v Speaker 2>seeing people wearing.

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<v Speaker 3>Masks in public.

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<v Speaker 2>I knew this was not this was not a pandemic

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<v Speaker 2>and there was something some kind of psychological operation going

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<v Speaker 2>on because I had worked in the hospital for the

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<v Speaker 2>swine flu scare and it wasn't a thing in the hospital,

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<v Speaker 2>like it was just regular flu. I don't even talked

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<v Speaker 2>to people that were on the front lines, like er

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<v Speaker 2>doctors and nurses, and they said some of them even

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<v Speaker 2>said that they got it and it wasn't.

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<v Speaker 3>That big of a deal.

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<v Speaker 2>So when they declared COVID, I was really suspicious, this

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<v Speaker 2>is just going to be another vaccination campaign, because they

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<v Speaker 2>already had mandates for the flu shot for healthcare workers

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<v Speaker 2>for like a decade before that, and I had been

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<v Speaker 2>doing the exemption every year. And the reason I did

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<v Speaker 2>that is because the first year that they made healthcare

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<v Speaker 2>workers get the flu shot, everybody was getting the flu. Yeah,

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<v Speaker 2>And so that was the year that we came up

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<v Speaker 2>with the it was just a rumor within the universe

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<v Speaker 2>to do lab where I worked, but everybody was saying

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<v Speaker 2>it that you get the flu from the flu shot,

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<v Speaker 2>so ever since then, I just didn't want to do it.

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<v Speaker 3>So during that whole year of operation work.

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<v Speaker 2>Speed, the only thing that's going to get us back

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<v Speaker 2>to normal is this vaccine. I thought this, If the

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<v Speaker 2>flu shot never worked, the chances that the covid shot

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<v Speaker 2>is going to work is slim to nil. And the

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<v Speaker 2>amount of pressure for this one compared to the flu

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<v Speaker 2>shot is astronomical, so there's something to it. So that

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<v Speaker 2>made me actually not just look at the.

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<v Speaker 3>Covid shot, but look at all the other vaccines.

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<v Speaker 2>And what I learned was they don't teach coders or

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<v Speaker 2>doctors or nurses anything about vaccine side effects or adverse effects,

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<v Speaker 2>despite the fact that they have codes to assign for

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<v Speaker 2>vaccine effects. But I would see patients come in with

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<v Speaker 2>like eon beret before this, and the doctors would try

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<v Speaker 2>very hard not to relate it to a vaccine, and

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<v Speaker 2>there would be codes in there like adverse effect of

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<v Speaker 2>flu shot or adverse effect whatever, and those are supposed

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<v Speaker 2>to be like a safety signal code, like one of

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<v Speaker 2>the reasons why. The ICD ten system, which is owned

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<v Speaker 2>by the WHO, by the way, so every member state

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<v Speaker 2>that is part of the WHO has to report these codes,

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<v Speaker 2>and it's for statistical monitoring purposes. So this is how

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<v Speaker 2>they monitor pandemics. This is how they monitor cancer, like

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<v Speaker 2>how many cases of cancer there are throughout the world,

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<v Speaker 2>or heart problems or pneumonia cases. This is the system

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<v Speaker 2>that they use, and it's also supposed to be us

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<v Speaker 2>starting in clinical trials for devices and drugs to look

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<v Speaker 2>for a safety signal. So I thought, with this COVID

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<v Speaker 2>nineteen vaccine, there should be a code for adverse effect

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<v Speaker 2>of this shot, and it should be my job to

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<v Speaker 2>assign it. So I didn't my due diligence, and I

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<v Speaker 2>looked into all the warnings and what could happen if

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<v Speaker 2>people got the shot, And then I looked at.

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<v Speaker 3>What could happen if people got the.

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<v Speaker 2>Other vaccines, and I started to realize that they have

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<v Speaker 2>been varying all of the effects that people would get

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<v Speaker 2>from vaccines and not assigning these adverse effect codes up

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<v Speaker 2>until twenty twenty. And then when the COVID nineteen vaccine

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<v Speaker 2>came out, there was no code to report it. So

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<v Speaker 2>it should have been my job to collect that danger signal.

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<v Speaker 2>And I even went on a podcast called Deborah Gets

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<v Speaker 2>Red Pill. It was just a radio show in early

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<v Speaker 2>twenty twenty one, right after I quit my job.

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<v Speaker 3>And I said, the COVID nineteen vaccine is.

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<v Speaker 2>More dangerous than all of the other vaccines combined. And

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<v Speaker 2>that was with my That was just an observation, but

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<v Speaker 2>it was ten years of medical coding experience and then

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<v Speaker 2>learning what I learned about vaccine side effects and all

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<v Speaker 2>the cases that I saw of children in the er

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<v Speaker 2>constantly having XMR rashes or even anaphylactic responses, and then

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<v Speaker 2>I look at the record. They just got a vaccine,

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<v Speaker 2>but the doctor's not connecting the two. So when COVID

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<v Speaker 2>nineteen came out, people were having strokes and sephalitis and

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<v Speaker 2>blood class like I've never seen before my own card

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<v Speaker 2>eyed just they were getting COVID nineteen immediately after getting

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<v Speaker 2>the shot, like the same day or the next day,

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<v Speaker 2>and then being hospitalized.

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<v Speaker 3>There were people with paralytic.

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<v Speaker 2>Problems, seizure disorders, blood disorders where they couldn't even figure

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<v Speaker 2>out what was going on because the patient was plotting

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<v Speaker 2>and bleeding at the same time.

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<v Speaker 3>And they didn't even know how to treat it.

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<v Speaker 2>Crazy stuff started happening just in the first four months

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<v Speaker 2>of the vaccine rolled out, so it wasn't even available.

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<v Speaker 3>To the rest of the public yet.

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<v Speaker 2>But by summer in twenty twenty one is when they

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<v Speaker 2>started saying you at home, like this is the hospital leadership.

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<v Speaker 2>They would have videos that they would send to all

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<v Speaker 2>staff all the time monitoring COVID and they were really

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<v Speaker 2>really pushing us to get that shot. They were saying,

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<v Speaker 2>we're not doing as good as the other hospitals who

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<v Speaker 2>are getting incentivized for meeting their vaccination quota, and we weren't.

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<v Speaker 2>So they were pointing to us, people who worked from home,

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<v Speaker 2>who never saw patients, who never walked into a hospital, Well,

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<v Speaker 2>you guys are spreading it around society, and we're going

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<v Speaker 2>to have to fire you if you don't get your shots.

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<v Speaker 3>So at that point I couldn't take it anymore.

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<v Speaker 2>I knew that my job had been to get them

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<v Speaker 2>money for murdering patients, and I was having a crisis

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<v Speaker 2>of conscience over that. And then before the vaccine went out,

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<v Speaker 2>I decided I was going to be a spy at

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<v Speaker 2>that point and just see if the vaccine really was

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<v Speaker 2>as bad as old warnings said, and then it turned

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<v Speaker 2>out to be far worse than I anticipated. And I

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<v Speaker 2>didn't think that the chances would be very good that

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<v Speaker 2>I would get an exemption.

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<v Speaker 3>Because they changed the rules for getting an exemption.

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<v Speaker 2>A lot of people got fired, and I didn't want

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<v Speaker 2>to work for them anymore. I didn't want to continue

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<v Speaker 2>helping them get money to murder people.

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<v Speaker 1>Good for you, Good for you. Yeah, you really do

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<v Speaker 1>have You really did have a bird's eye view of

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<v Speaker 1>this whole thing, because you're seeing the diagnostic codes as

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<v Speaker 1>well as the treatments that are there, and so you

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<v Speaker 1>could get a good picture of what was actually coming

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<v Speaker 1>on and seeing the trends that were there. That's very

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<v Speaker 1>interesting your perspective. You know, I've got something, and I

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<v Speaker 1>apologize it because we can't feed this to you, so

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<v Speaker 1>you can't hear this. I'll kind of talk about it

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<v Speaker 1>and describe it, but I want the audience to hear

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<v Speaker 1>what Lutnick. I call him lucky Lucky Lutnick. What he

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<v Speaker 1>said in terms about the money that can be made

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<v Speaker 1>off of this kind of stuff, and he uses an

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<v Speaker 1>example of the vaccines.

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<v Speaker 4>The United States government the most powerful, the greatest customer

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<v Speaker 4>buy stuff. We walk in, we're going to buy is

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<v Speaker 4>the example I like to use. We're going to buy

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<v Speaker 4>two billion COVID vaccines. When we buy it, Faiza and

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<v Speaker 4>Maderna stocks are going to triple, going to triple. So

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<v Speaker 4>then we say everyone's going to have this vaccine. If

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<v Speaker 4>I were after Jared Start negotiated the best daily could

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<v Speaker 4>Howard lettnik walked in the room, Howard Letnig would say.

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<v Speaker 1>What do you think twenty percent warrants? Twenty percent warrants right?

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<v Speaker 2>Right?

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<v Speaker 3>What?

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<v Speaker 4>So we'd make fifty billion dollars off of who nobody.

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<v Speaker 1>We didn't take from anybody to do it.

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<v Speaker 4>Okay, the shareholders and Pfizer, who we've just trimpled them

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<v Speaker 4>with our order.

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<v Speaker 1>Now, how many of my customers? Yeah, Zoe what he's saying.

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<v Speaker 1>Zoe says, yeah, you get the US government's most powerful customers.

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<v Speaker 1>So we're going to go in and we're going to

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<v Speaker 1>buy two billion dollars worth of these vaccines from Pizer. Moodnna.

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<v Speaker 1>We're going to force people to take them. He goes,

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<v Speaker 1>So I'm looking at this, I'm saying, well, I'm going

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<v Speaker 1>to get some twenty percent warrants. I want some action

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<v Speaker 1>of that. I know what's going to happen with all this,

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<v Speaker 1>and he says, and you know, and who have we

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<v Speaker 1>harmed with all this stuff? It's like the people who

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<v Speaker 1>got the shot, obviously, but he doesn't even see that.

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<v Speaker 1>He sees nothing but dollar signs. This is the guy,

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<v Speaker 1>of course, that is now the Commerce secretary for Trump,

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<v Speaker 1>and he's the guy who's pushing through the stable coins

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<v Speaker 1>and all the rest of this stuff. Makes you wonder

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<v Speaker 1>what he is going to be doing to this with

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<v Speaker 1>the stable coins and the resetting of the financial system.

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<v Speaker 1>This is These are people who see nothing other than money,

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<v Speaker 1>and they don't care what they have to do to

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<v Speaker 1>other people in order to make money. It truly is amazing,

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<v Speaker 1>the greed and the system and the corruption.

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<v Speaker 2>Right it is so hard for me to wrap my

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<v Speaker 2>brain around how many people they killed. It was a

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<v Speaker 2>science silent genocide that is still invisible. But there's no

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<v Speaker 2>family that I've talked to in the last five years

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<v Speaker 2>that hasn't been touched by it in some way. Either

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<v Speaker 2>someone they know is suffering from cancer or some horrible

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<v Speaker 2>chronic condition after getting the shop, or they've lost somebody

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<v Speaker 2>like I lost my cousin who was seventeen, who suddenly.

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<v Speaker 3>Just drove into a tree, and they didn't do.

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<v Speaker 2>An autopsy or look into it. And there's countless other

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<v Speaker 2>people out there like that. I mean, this was our family,

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<v Speaker 2>and people are still just kind of baring their heads

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<v Speaker 2>in the sand and wanting to go on like.

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<v Speaker 3>It didn't happen.

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<v Speaker 1>The amazing system is.

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<v Speaker 3>Still set up to where it could still happen again,

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<v Speaker 3>Like we haven't even held those people accountable.

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<v Speaker 1>As a matter of fact, we put them back in

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<v Speaker 1>office again. And so you know, that's why to me,

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<v Speaker 1>I look at it, and what astounds me the most

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<v Speaker 1>is just how effective the control of information has been.

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<v Speaker 1>That's why what you're doing is so important. You've got

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<v Speaker 1>to get out there and tell people what happened, because,

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<v Speaker 1>as you point out, allmost everybody I know as well,

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<v Speaker 1>there's been somebody in their family, immediate or extended family

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<v Speaker 1>that's been harmed by this. But everybody thinks that this

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<v Speaker 1>is a one off, it didn't happen to everybody else.

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<v Speaker 1>They don't realize that it happened, how broad this is

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<v Speaker 1>and how extensive it is, And I think that they're alone,

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00:19:53.599 --> 00:19:55.200
<v Speaker 1>just like they wanted us to think that we were

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<v Speaker 1>loone if we saw what was happening and we weren't

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<v Speaker 1>going to participate in it. Well, you're the one who

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<v Speaker 1>thinks like that, and we're not. You know, there's a

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<v Speaker 1>lot of people out there who saw what was happening,

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<v Speaker 1>and we're onto this scam from the very beginning. And

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<v Speaker 1>I had the help of a person who gave me

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<v Speaker 1>a heads up about a year before this happened. He said,

398
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<v Speaker 1>there's a lot of chatter about Dark Winter two and

399
00:20:18.480 --> 00:20:20.079
<v Speaker 1>he goes, you know what Dark Winter one was, and

400
00:20:20.119 --> 00:20:22.079
<v Speaker 1>he's like, yeah, I know about that. And so when

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00:20:22.079 --> 00:20:24.960
<v Speaker 1>I saw this, it was falling right in the pattern

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00:20:25.000 --> 00:20:27.039
<v Speaker 1>of all these germ games. The very first one was

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<v Speaker 1>two months before nine to eleven, So I knew exactly

404
00:20:29.759 --> 00:20:32.279
<v Speaker 1>what was happening with this, and also knew about the

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00:20:32.319 --> 00:20:34.680
<v Speaker 1>PCR test and what Krrie Mollison said, talk a little

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<v Speaker 1>bit about what you saw with the PCR right.

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<v Speaker 2>So that was another part of the Pandora's box that

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<v Speaker 2>changed right at the beginning of March twenty twenty when

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<v Speaker 2>they declared two weeks to flatten the curve and changed

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00:20:46.799 --> 00:20:48.359
<v Speaker 2>our whole lives upside down.

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<v Speaker 3>I noticed that before COVID.

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<v Speaker 2>I worked in the University Love when I was in college,

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<v Speaker 2>and we had what's called a rapid flu test, and

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<v Speaker 2>it was something that it was a nose swap too,

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<v Speaker 2>or it could be a saliva swab, but it wasn't

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<v Speaker 2>something that went all the way up to your brain

417
00:21:06.599 --> 00:21:11.640
<v Speaker 2>like the COVID PCR swap did, and even the instructions

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<v Speaker 2>like us in the lab as lab assistants, the one

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<v Speaker 2>of the number one things we did was coach people

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<v Speaker 2>on how to collect specimens properly, because it was our

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<v Speaker 2>job to screen them make sure they were going to

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<v Speaker 2>work for the test, and if they weren't in a

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<v Speaker 2>correct format to accept for the test, then we'd have

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<v Speaker 2>to tell the nurser doctor we needed to go recollect

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<v Speaker 2>that specimen. So these rapid flu tests, they had to

426
00:21:34.000 --> 00:21:36.160
<v Speaker 2>be done within fifteen minutes, and it was basically a

427
00:21:36.200 --> 00:21:41.599
<v Speaker 2>PCR test. It didn't have the same cycle threshold part,

428
00:21:41.839 --> 00:21:44.000
<v Speaker 2>so it was kind of a predecessor to the COVID

429
00:21:44.079 --> 00:21:48.240
<v Speaker 2>nineteen PCR test. But it wasn't done on every patient

430
00:21:48.279 --> 00:21:51.000
<v Speaker 2>that had a cold or flu symptom or a pneumonia

431
00:21:51.119 --> 00:21:51.480
<v Speaker 2>at all.

432
00:21:51.599 --> 00:21:54.480
<v Speaker 3>It was only done on patients that came in, like

433
00:21:54.519 --> 00:21:58.440
<v Speaker 3>with a recurrent pneumonia that they couldn't cure, or a

434
00:21:58.519 --> 00:22:01.440
<v Speaker 3>recurrent cold, and it would be done to try and

435
00:22:01.519 --> 00:22:05.440
<v Speaker 3>figure out which types of medications this particular disease would

436
00:22:05.480 --> 00:22:08.720
<v Speaker 3>respond to. So it was like a case by case basis.

437
00:22:08.720 --> 00:22:10.920
<v Speaker 3>It wasn't just everybody that walked into the hospital.

438
00:22:11.440 --> 00:22:13.680
<v Speaker 2>And so when COVID nineteen came around and they said,

439
00:22:13.720 --> 00:22:16.000
<v Speaker 2>you need to stick this all the way up into

440
00:22:16.079 --> 00:22:17.599
<v Speaker 2>people's brains, no.

441
00:22:17.680 --> 00:22:21.640
<v Speaker 3>Saliva, and it has to be on every single person,

442
00:22:22.440 --> 00:22:25.000
<v Speaker 3>because I mean, it really flipped it. At one point.

443
00:22:25.039 --> 00:22:27.920
<v Speaker 3>It went from you can't get the PCR tests, like because.

444
00:22:27.680 --> 00:22:30.839
<v Speaker 2>They had a drive through where you could go out

445
00:22:30.880 --> 00:22:33.119
<v Speaker 2>into society at first and you have to go to

446
00:22:33.160 --> 00:22:35.440
<v Speaker 2>one of these PCR testing centers and they'd say you

447
00:22:35.480 --> 00:22:36.440
<v Speaker 2>have to have symptoms.

448
00:22:36.640 --> 00:22:38.240
<v Speaker 3>You can't get it unless you have symptoms.

449
00:22:38.240 --> 00:22:40.079
<v Speaker 2>And then people were mad that they couldn't get the

450
00:22:40.119 --> 00:22:43.559
<v Speaker 2>PCR tests. And then like overnight, it flipped to now

451
00:22:43.599 --> 00:22:46.119
<v Speaker 2>everybody has to get it for everything. You have to

452
00:22:46.119 --> 00:22:47.839
<v Speaker 2>get it if you walk in the er, even if

453
00:22:47.839 --> 00:22:50.480
<v Speaker 2>you don't have COVID symptoms, And I thought that was weird.

454
00:22:50.519 --> 00:22:53.720
<v Speaker 2>We never did that before. That is not supposed to

455
00:22:53.720 --> 00:22:57.279
<v Speaker 2>be a screening test. It's supposed to be a diagnostic

456
00:22:57.359 --> 00:22:59.680
<v Speaker 2>test because the screen is done when you don't have symptoms.

457
00:23:00.200 --> 00:23:04.559
<v Speaker 2>It's trying to rule out if you're developing something. And

458
00:23:04.640 --> 00:23:07.880
<v Speaker 2>they were telling us asymptomatic spread. Well, I could see

459
00:23:07.920 --> 00:23:10.880
<v Speaker 2>in the hospital there is no such thing as asymptomatic spread.

460
00:23:10.960 --> 00:23:14.400
<v Speaker 2>This six feet thing is made up. Masks don't work.

461
00:23:14.599 --> 00:23:16.920
<v Speaker 3>I knew that from the very beginning because.

462
00:23:17.359 --> 00:23:19.640
<v Speaker 2>Masks in the hospital had only been used for like

463
00:23:19.680 --> 00:23:23.480
<v Speaker 2>collecting spittle over like a surgery case. It wasn't meant

464
00:23:23.559 --> 00:23:26.960
<v Speaker 2>to prevent germ spread. That was never part of our

465
00:23:27.519 --> 00:23:31.680
<v Speaker 2>infection control. So I knew there was something up with

466
00:23:31.680 --> 00:23:34.240
<v Speaker 2>these PCR tests, and I kept looking at the results,

467
00:23:34.279 --> 00:23:37.559
<v Speaker 2>and finally I find that it's done by PCR.

468
00:23:37.880 --> 00:23:39.480
<v Speaker 3>And I recall my time at a.

469
00:23:39.480 --> 00:23:42.200
<v Speaker 2>University lab when we were just starting PCR testing, because

470
00:23:42.200 --> 00:23:45.200
<v Speaker 2>this was early two thousands and Mulla's invented it, like

471
00:23:45.319 --> 00:23:48.240
<v Speaker 2>late eighty six is when the NIH took it up

472
00:23:48.240 --> 00:23:50.839
<v Speaker 2>and started using PCR, so it.

473
00:23:50.799 --> 00:23:53.640
<v Speaker 3>Got into healthcare early two thousands, and all the.

474
00:23:53.640 --> 00:23:55.839
<v Speaker 2>Texts like my mom was a medical technologist, it was

475
00:23:55.880 --> 00:23:58.000
<v Speaker 2>her job which she actually ran one of these labs.

476
00:23:58.359 --> 00:24:02.559
<v Speaker 2>It was her job to run those tests, and they

477
00:24:02.559 --> 00:24:05.039
<v Speaker 2>were all talking like this was like their new tech,

478
00:24:05.160 --> 00:24:07.279
<v Speaker 2>like they were a kid in a candy store, excited

479
00:24:07.319 --> 00:24:09.039
<v Speaker 2>about it, this PCR thing.

480
00:24:09.079 --> 00:24:11.480
<v Speaker 3>But it was all genetic testing. It was genetic.

481
00:24:11.599 --> 00:24:14.720
<v Speaker 2>It was done for cancer screening, which they thought was genetic,

482
00:24:14.759 --> 00:24:15.920
<v Speaker 2>and it was done for like.

483
00:24:17.799 --> 00:24:20.839
<v Speaker 3>Women that would like they would call it genetic counseling.

484
00:24:21.319 --> 00:24:23.039
<v Speaker 3>If you were a couple.

485
00:24:22.799 --> 00:24:24.680
<v Speaker 2>And you're a female, and you go and you want

486
00:24:24.680 --> 00:24:27.319
<v Speaker 2>to have genetic counseling, you can see if you have

487
00:24:27.480 --> 00:24:31.920
<v Speaker 2>like a hereditary disease like Huntington's and then maybe decide

488
00:24:31.920 --> 00:24:36.240
<v Speaker 2>if you want to continue with appropriation or not. So

489
00:24:36.319 --> 00:24:39.000
<v Speaker 2>it was genetic. So I thought, why all of a

490
00:24:39.039 --> 00:24:42.599
<v Speaker 2>sudden are we testing for viruses with PCR. Well, while

491
00:24:42.640 --> 00:24:45.039
<v Speaker 2>I wasn't looking because for ten years I was a

492
00:24:45.079 --> 00:24:47.440
<v Speaker 2>medical coder, so I wasn't really looking at what was

493
00:24:47.480 --> 00:24:50.880
<v Speaker 2>going on in the lab until COVID happened. So then

494
00:24:50.920 --> 00:24:54.880
<v Speaker 2>I find it's by PCR, and I start looking at well,

495
00:24:55.119 --> 00:24:57.440
<v Speaker 2>there's obviously this problem with false positives.

496
00:24:57.480 --> 00:24:59.640
<v Speaker 3>Even Elon Musk was saying, I got two tests in

497
00:24:59.680 --> 00:25:01.200
<v Speaker 3>one day. One of them was negative, one of them

498
00:25:01.279 --> 00:25:01.839
<v Speaker 3>was positive.

499
00:25:02.240 --> 00:25:04.440
<v Speaker 2>And I could see the hospital was running over and

500
00:25:04.480 --> 00:25:07.200
<v Speaker 2>over and over these PCR tests, waiting to get a

501
00:25:07.200 --> 00:25:09.799
<v Speaker 2>positive result if they didn't get the right result, and

502
00:25:09.839 --> 00:25:13.440
<v Speaker 2>I'm like, this doesn't make any sense. What is going

503
00:25:13.480 --> 00:25:18.480
<v Speaker 2>on here? And fast forward to like after the PCR

504
00:25:18.559 --> 00:25:20.920
<v Speaker 2>test evolved a little bit towards the end of twenty

505
00:25:21.000 --> 00:25:25.680
<v Speaker 2>twenty into twenty twenty one, they had it what's called

506
00:25:25.720 --> 00:25:29.400
<v Speaker 2>a PCR multiplex assay, so it was four different viruses.

507
00:25:29.400 --> 00:25:31.839
<v Speaker 3>They were actually monitoring flu.

508
00:25:31.640 --> 00:25:37.799
<v Speaker 2>A, flu B, RSV, and COVID nineteen and the only

509
00:25:37.920 --> 00:25:40.559
<v Speaker 2>one that ever came up positive out of a whole

510
00:25:40.680 --> 00:25:44.880
<v Speaker 2>year of running all four of these viruses was covid,

511
00:25:45.880 --> 00:25:48.440
<v Speaker 2>not one flu, not one RSB.

512
00:25:49.240 --> 00:25:51.200
<v Speaker 3>And they say, we have an RSB pandemic.

513
00:25:51.319 --> 00:25:54.359
<v Speaker 1>Now that's such an amazing thing. And you know, we

514
00:25:54.440 --> 00:25:56.079
<v Speaker 1>go back and we used to play the clips all

515
00:25:56.079 --> 00:25:59.480
<v Speaker 1>the time of Malis calling out FAUCI because you know,

516
00:25:59.599 --> 00:26:05.200
<v Speaker 1>FACI used the PCR test claim that AIDS was caused

517
00:26:05.200 --> 00:26:09.039
<v Speaker 1>by a virus, and that created a big back and

518
00:26:09.079 --> 00:26:11.799
<v Speaker 1>forth between them, and Mala said, well, I'm not going

519
00:26:11.839 --> 00:26:13.640
<v Speaker 1>to get involved in that fight, but I'll tell you

520
00:26:13.680 --> 00:26:17.920
<v Speaker 1>this that you can't prove it using the PCR test.

521
00:26:18.279 --> 00:26:20.559
<v Speaker 1>They can't be used as a diagnostics like that, and

522
00:26:20.640 --> 00:26:23.440
<v Speaker 1>so it was very interesting because they also did not

523
00:26:23.559 --> 00:26:27.559
<v Speaker 1>isolate the HIV, you know, the the virus that supposedly

524
00:26:27.599 --> 00:26:30.400
<v Speaker 1>caused AIDS either, and so this whole thing has been

525
00:26:30.519 --> 00:26:32.799
<v Speaker 1>kind of a bluff. What it reminds me of, Zoe

526
00:26:33.160 --> 00:26:36.880
<v Speaker 1>is the polygraph tests. My wife used to be a

527
00:26:36.920 --> 00:26:39.599
<v Speaker 1>district personnel manager for convenience stores, and what they would

528
00:26:39.640 --> 00:26:42.880
<v Speaker 1>do if they would have massive shortages somewhere and they

529
00:26:42.880 --> 00:26:45.039
<v Speaker 1>thought there was theft that was going on with the employees,

530
00:26:45.400 --> 00:26:48.160
<v Speaker 1>they would call them in and polygraph them. And the

531
00:26:48.200 --> 00:26:52.039
<v Speaker 1>polygraph did not work. But it only worked if people

532
00:26:52.119 --> 00:26:56.640
<v Speaker 1>believed that it could tell them tell whether they were lying,

533
00:26:56.640 --> 00:26:58.319
<v Speaker 1>and then they would tell the truth about it and

534
00:26:58.400 --> 00:27:01.319
<v Speaker 1>make a confession. Right. Simply a mind game that was

535
00:27:01.359 --> 00:27:04.839
<v Speaker 1>being played on the people that were there. And that's exactly, Yeah,

536
00:27:04.880 --> 00:27:06.920
<v Speaker 1>that's what the PCR thing is. It really is a

537
00:27:06.960 --> 00:27:09.799
<v Speaker 1>mind game, except that it's become something of a lie

538
00:27:09.839 --> 00:27:12.480
<v Speaker 1>detector for the people who are administering it. We realize

539
00:27:12.519 --> 00:27:14.920
<v Speaker 1>now that they are the liars who are putting this

540
00:27:14.960 --> 00:27:17.880
<v Speaker 1>stuff out. I just had in a comment lance put

541
00:27:17.920 --> 00:27:20.240
<v Speaker 1>up my producer. He said, that video of Lutnik where

542
00:27:20.240 --> 00:27:22.960
<v Speaker 1>he's talking about that reminds him of this scene out

543
00:27:23.079 --> 00:27:25.079
<v Speaker 1>of the Big Short, which we just went back and

544
00:27:25.119 --> 00:27:29.599
<v Speaker 1>watched again because of the AI bubble, And at one

545
00:27:29.640 --> 00:27:31.880
<v Speaker 1>point this guy gets up and he's talking and one

546
00:27:31.880 --> 00:27:34.559
<v Speaker 1>of the guys who's onto the whole scam says, why

547
00:27:34.640 --> 00:27:37.559
<v Speaker 1>is he confessing, And the other guy says, he's not confessing,

548
00:27:37.799 --> 00:27:42.839
<v Speaker 1>he's bragging. Basically what Lutnik was doing. He wasn't confessing

549
00:27:42.880 --> 00:27:45.319
<v Speaker 1>about all this stuff. He was bragging about it. And

550
00:27:45.359 --> 00:27:47.279
<v Speaker 1>now how he continues to get away with this kind

551
00:27:47.319 --> 00:27:49.319
<v Speaker 1>of stuff truly is amazing. Yeah.

552
00:27:49.519 --> 00:27:52.599
<v Speaker 3>Yeah, Well, what's even more nefarious about the PCR.

553
00:27:52.240 --> 00:27:56.319
<v Speaker 2>Test is so the false positive narrative that is only

554
00:27:56.440 --> 00:27:59.000
<v Speaker 2>it's about the cycle threshold. But you're correct, they didn't

555
00:27:59.039 --> 00:28:04.200
<v Speaker 2>actually see what. They didn't sequence stars COVID too, so

556
00:28:04.319 --> 00:28:08.119
<v Speaker 2>they never had a sequence. They have what's called a

557
00:28:08.160 --> 00:28:11.799
<v Speaker 2>consensus sequence, which is an average that an AI came

558
00:28:11.920 --> 00:28:14.640
<v Speaker 2>up with, and that's what they've used because they knew

559
00:28:14.640 --> 00:28:17.359
<v Speaker 2>they would find this in a percentage of people and

560
00:28:17.400 --> 00:28:19.680
<v Speaker 2>then they could dial it in with the cycle threshold

561
00:28:19.799 --> 00:28:22.440
<v Speaker 2>up or down. Same thing with the AIDS thing. They

562
00:28:22.480 --> 00:28:26.559
<v Speaker 2>never isolated AIDS, and they used their antibody tests at first,

563
00:28:26.559 --> 00:28:28.680
<v Speaker 2>which could be dialed up or down in the same

564
00:28:28.680 --> 00:28:32.039
<v Speaker 2>way as a cycle threshold. And David Rasnik, PhD, who

565
00:28:32.079 --> 00:28:34.039
<v Speaker 2>I've interviewed, can vouch for that.

566
00:28:34.160 --> 00:28:36.720
<v Speaker 3>He's got all the science on his web page to

567
00:28:36.880 --> 00:28:37.519
<v Speaker 3>prove all of that.

568
00:28:38.839 --> 00:28:42.039
<v Speaker 2>But what I was looking past the cycle threshold because

569
00:28:42.079 --> 00:28:45.160
<v Speaker 2>I knew this test is dialed in for some reason,

570
00:28:45.200 --> 00:28:49.039
<v Speaker 2>like they can predict the results somehow, and I needed

571
00:28:49.079 --> 00:28:52.119
<v Speaker 2>to know how they were manipulating the test. And so

572
00:28:52.200 --> 00:28:54.119
<v Speaker 2>I looked a little bit further and I find a

573
00:28:54.200 --> 00:28:58.200
<v Speaker 2>document from the CDC that says for every COVID test,

574
00:28:58.720 --> 00:29:01.000
<v Speaker 2>every CLIA five lab, which.

575
00:29:00.839 --> 00:29:03.160
<v Speaker 3>Is all of them, they all have to be in

576
00:29:03.240 --> 00:29:06.720
<v Speaker 3>order to build insurance or anything, have to be CLIA certified.

577
00:29:07.240 --> 00:29:11.880
<v Speaker 2>Then they have to send a genetic sequence to one

578
00:29:11.880 --> 00:29:18.000
<v Speaker 2>of two gene banks, either NCBI or GISAID gene banks,

579
00:29:19.279 --> 00:29:22.400
<v Speaker 2>and it listed like eight different sequences. So they're saying,

580
00:29:22.440 --> 00:29:25.200
<v Speaker 2>you know the variants in the details.

581
00:29:25.960 --> 00:29:30.160
<v Speaker 3>But if you look at some of these labs that

582
00:29:30.200 --> 00:29:33.279
<v Speaker 3>were running PCR tests and making all the money off

583
00:29:33.319 --> 00:29:35.640
<v Speaker 3>running these PCR tests, they.

584
00:29:35.480 --> 00:29:39.119
<v Speaker 2>Could also take that same sample off that machine, put

585
00:29:39.119 --> 00:29:42.759
<v Speaker 2>it on another machine run a sequence, and they needed

586
00:29:42.799 --> 00:29:46.000
<v Speaker 2>to in order to comply with the CDC's directive to

587
00:29:46.079 --> 00:29:49.759
<v Speaker 2>send genetic sequences to these gene banks. And I interviewed

588
00:29:49.839 --> 00:29:52.920
<v Speaker 2>David Rasnik, who is a chemistry professor who worked with.

589
00:29:52.880 --> 00:29:54.720
<v Speaker 3>Kerry Mullis and new Kerrie Mollis.

590
00:29:54.960 --> 00:29:57.519
<v Speaker 2>I asked them directly, do you think that they were

591
00:29:57.720 --> 00:30:01.839
<v Speaker 2>just clipping a tiny little section of the genetic code

592
00:30:02.680 --> 00:30:04.880
<v Speaker 2>and then sending it to these gene banks or do

593
00:30:04.920 --> 00:30:06.880
<v Speaker 2>you think they were getting the entire sequence?

594
00:30:06.880 --> 00:30:09.119
<v Speaker 3>And he says, well, they're running a lab.

595
00:30:09.400 --> 00:30:13.319
<v Speaker 2>They're busy, they're not really thinking about, you know, taking

596
00:30:13.359 --> 00:30:15.240
<v Speaker 2>the time to clit out a sequence.

597
00:30:15.319 --> 00:30:18.319
<v Speaker 3>So could they yes, but would they really do that?

598
00:30:18.680 --> 00:30:20.599
<v Speaker 2>No, It'd be so much easier for them to just

599
00:30:20.640 --> 00:30:23.000
<v Speaker 2>send the whole thing and then let the gene bank

600
00:30:23.079 --> 00:30:26.400
<v Speaker 2>decide which part that they want to determine is the

601
00:30:26.519 --> 00:30:28.319
<v Speaker 2>variant of concern.

602
00:30:29.839 --> 00:30:33.400
<v Speaker 3>So they were. And you look at the different gene banks.

603
00:30:33.400 --> 00:30:34.359
<v Speaker 3>There's one called.

604
00:30:34.200 --> 00:30:37.640
<v Speaker 2>Data vant which is now a public private partnership. You

605
00:30:37.759 --> 00:30:41.440
<v Speaker 2>look at the Human Genome Project, which is now BGI

606
00:30:42.279 --> 00:30:45.119
<v Speaker 2>BGI Gene Genetics I think in China, which is their

607
00:30:45.160 --> 00:30:49.519
<v Speaker 2>biggest biotech company, and there's billions of billions of dollars

608
00:30:49.559 --> 00:30:53.240
<v Speaker 2>in collecting our DNA, and what they say they're using

609
00:30:53.240 --> 00:30:56.519
<v Speaker 2>it for is to And now we have Larry Ellison

610
00:30:56.559 --> 00:30:59.599
<v Speaker 2>actually admitting it day two of the Trump administration that

611
00:30:59.599 --> 00:31:01.680
<v Speaker 2>they're going to use AI, which is what they use

612
00:31:01.759 --> 00:31:04.599
<v Speaker 2>to get the consensus sequence that they dial the PCR

613
00:31:04.720 --> 00:31:08.799
<v Speaker 2>test in with. They're going to use AI to look

614
00:31:08.839 --> 00:31:12.359
<v Speaker 2>at our blood and then make a drug or a

615
00:31:12.680 --> 00:31:18.039
<v Speaker 2>therapeutic or a vaccine tailored to our individual genome. And

616
00:31:18.079 --> 00:31:20.680
<v Speaker 2>now there's a massive industry of all these big tech

617
00:31:20.720 --> 00:31:25.759
<v Speaker 2>oligarchs that are using AI to develop different vaccines or

618
00:31:25.759 --> 00:31:30.519
<v Speaker 2>different therapeutics, biotech therapeutics tailored to the individual genome.

619
00:31:30.599 --> 00:31:32.599
<v Speaker 3>So whether or not they're successful.

620
00:31:32.079 --> 00:31:34.880
<v Speaker 2>With this technology, there's a whole bunch of money invested

621
00:31:35.319 --> 00:31:37.799
<v Speaker 2>in it. So I think PCR was actually a data

622
00:31:37.839 --> 00:31:41.720
<v Speaker 2>mining operation as well as the money laundering operation.

623
00:31:42.079 --> 00:31:44.240
<v Speaker 1>That's interesting. Yeah, And of course if they want to

624
00:31:44.279 --> 00:31:47.960
<v Speaker 1>make a bioweapon that is going to target certain groups

625
00:31:48.000 --> 00:31:50.039
<v Speaker 1>of people, that makes it very easy to do that

626
00:31:50.119 --> 00:31:52.599
<v Speaker 1>as well. You know, and when you look at the PCR.

627
00:31:52.839 --> 00:31:55.720
<v Speaker 1>Handy who also has a substack and he's been a

628
00:31:55.759 --> 00:31:59.480
<v Speaker 1>regular listener comment or on the program, he worked in

629
00:31:59.559 --> 00:32:03.319
<v Speaker 1>hospital and he said he was suspicious of these things.

630
00:32:03.359 --> 00:32:07.480
<v Speaker 1>Finally got a nurse to take one of these swabs

631
00:32:07.559 --> 00:32:10.559
<v Speaker 1>right out of the package and run it through and

632
00:32:10.599 --> 00:32:15.119
<v Speaker 1>got a positive test without swamping anybody. So some of these, yeah,

633
00:32:15.279 --> 00:32:17.119
<v Speaker 1>it was. It was such garbage. I mean, either it's

634
00:32:17.119 --> 00:32:20.160
<v Speaker 1>preloaded with something or the PCR test is just so

635
00:32:20.440 --> 00:32:23.400
<v Speaker 1>off the charts with its magnification whatever. You can find

636
00:32:23.400 --> 00:32:25.079
<v Speaker 1>anything anywhere carry mallis So.

637
00:32:25.039 --> 00:32:27.440
<v Speaker 3>Didn't be the president of Tanzania.

638
00:32:27.480 --> 00:32:30.960
<v Speaker 2>I think he did some like a papaya and like

639
00:32:31.000 --> 00:32:31.839
<v Speaker 2>a Coca cola.

640
00:32:33.720 --> 00:32:36.799
<v Speaker 1>That's right, it's total nonsense in garbage. And I remember

641
00:32:36.839 --> 00:32:39.960
<v Speaker 1>when they had the con Film Festival. It was in

642
00:32:40.000 --> 00:32:42.240
<v Speaker 1>the summer of twenty twenty, and he had all these

643
00:32:42.240 --> 00:32:45.079
<v Speaker 1>elitists who somehow they got there, I guess on their

644
00:32:45.119 --> 00:32:47.160
<v Speaker 1>private jets and didn't have to get screened too much.

645
00:32:47.160 --> 00:32:49.920
<v Speaker 1>But anyway, they're there and they were complaining that they

646
00:32:49.920 --> 00:32:53.119
<v Speaker 1>had to do spit tests. They said, that's disgusting. We

647
00:32:53.240 --> 00:32:54.759
<v Speaker 1>got to spit in this thing and they got a

648
00:32:54.839 --> 00:32:56.839
<v Speaker 1>test it and so forth. I said, yeah, so why

649
00:32:56.920 --> 00:32:59.319
<v Speaker 1>don't they allow us to do a spit test? Right?

650
00:32:59.599 --> 00:33:02.440
<v Speaker 1>They got ram that thing up your nose but you

651
00:33:02.480 --> 00:33:05.400
<v Speaker 1>don't get that. But the elites, the jet setters, the

652
00:33:05.559 --> 00:33:08.519
<v Speaker 1>private jets, they get the spit test or whatever. Oh

653
00:33:08.599 --> 00:33:10.720
<v Speaker 1>my god, all this stuff.

654
00:33:11.759 --> 00:33:15.920
<v Speaker 2>In the university lab, there was something called sputum testing,

655
00:33:15.960 --> 00:33:18.880
<v Speaker 2>which is exactly that you basically at hakalugi into a

656
00:33:18.920 --> 00:33:22.559
<v Speaker 2>cup and like it was the most disgusting sample I

657
00:33:22.599 --> 00:33:24.839
<v Speaker 2>ever had to deal with when I worked in the lab,

658
00:33:25.240 --> 00:33:27.519
<v Speaker 2>and I make a joke in my book, we all

659
00:33:27.599 --> 00:33:31.240
<v Speaker 2>were spared that they that they didn't make that the

660
00:33:31.400 --> 00:33:35.079
<v Speaker 2>test that we had to do. But I'm telling me,

661
00:33:35.160 --> 00:33:36.279
<v Speaker 2>that's what the elites do.

662
00:33:36.680 --> 00:33:39.000
<v Speaker 1>Yeah, I think that's preferable to have that thing ram

663
00:33:39.079 --> 00:33:41.039
<v Speaker 1>rotted up your nose. I guess I didn't have that

664
00:33:41.119 --> 00:33:44.000
<v Speaker 1>done to me, So I went to the whole thing

665
00:33:44.039 --> 00:33:47.519
<v Speaker 1>without having a PCR test. Sorry, go ahead me neither.

666
00:33:47.839 --> 00:33:51.079
<v Speaker 3>That was another reason why I walked out, because if

667
00:33:51.119 --> 00:33:53.799
<v Speaker 3>I were to stay in the hospital, they are stay

668
00:33:53.839 --> 00:33:57.000
<v Speaker 3>working for them and get the exemption that I was

669
00:33:57.039 --> 00:33:59.079
<v Speaker 3>going to have to take a PCR test every week.

670
00:33:59.359 --> 00:34:01.720
<v Speaker 2>And I didn't want to have to take a PCR test.

671
00:34:01.759 --> 00:34:03.519
<v Speaker 2>I was pretty sure they were going to be collecting

672
00:34:03.559 --> 00:34:08.000
<v Speaker 2>our DNA with it or sensing if we're vaccinated or

673
00:34:08.039 --> 00:34:10.800
<v Speaker 2>not or somehow tying that in with the vaccine passport.

674
00:34:10.840 --> 00:34:12.679
<v Speaker 2>It wasn't entirely sure how it was going to work,

675
00:34:13.039 --> 00:34:16.079
<v Speaker 2>but I knew that it wasn't what they were telling us,

676
00:34:16.079 --> 00:34:17.639
<v Speaker 2>and I wasn't about to play long.

677
00:34:17.920 --> 00:34:19.960
<v Speaker 3>Yeah, So that was another reason why I couldn't.

678
00:34:20.159 --> 00:34:21.960
<v Speaker 1>And of course some of the other things too, where

679
00:34:22.119 --> 00:34:25.079
<v Speaker 1>some people did some you know, zoomed in a microscope

680
00:34:25.079 --> 00:34:27.679
<v Speaker 1>looking at the tip of the swab and said, look

681
00:34:27.679 --> 00:34:29.559
<v Speaker 1>at this. You know, here's one of the cotton swab

682
00:34:29.599 --> 00:34:32.159
<v Speaker 1>and here's this PCR thing. It's got all these spikes

683
00:34:32.159 --> 00:34:34.519
<v Speaker 1>on it. And if I run it across, some of

684
00:34:34.519 --> 00:34:36.800
<v Speaker 1>these things of spikes stick and stay. So are they

685
00:34:36.840 --> 00:34:39.159
<v Speaker 1>actually implanting something into you? You know?

686
00:34:39.199 --> 00:34:43.039
<v Speaker 2>There's some research on it, and I found there were

687
00:34:43.039 --> 00:34:46.480
<v Speaker 2>two chemicals on the tip of the swab. One of

688
00:34:46.519 --> 00:34:49.480
<v Speaker 2>them was ethylene oxide, and that alone can like they

689
00:34:49.480 --> 00:34:51.440
<v Speaker 2>were putting it, you know, way up in your nose

690
00:34:51.480 --> 00:34:54.159
<v Speaker 2>where you're piny old land is your third eye, which

691
00:34:54.159 --> 00:34:57.840
<v Speaker 2>is right at the top. So putting that chemical right

692
00:34:57.880 --> 00:35:00.840
<v Speaker 2>there is known to cause cancer. And so the more

693
00:35:00.880 --> 00:35:03.119
<v Speaker 2>you do it, the more personogenic it's going to be.

694
00:35:03.280 --> 00:35:04.480
<v Speaker 3>And then it also has a.

695
00:35:04.519 --> 00:35:08.639
<v Speaker 2>Chemical property where it will basically block and calcify your

696
00:35:08.679 --> 00:35:09.719
<v Speaker 2>pineal gland, so.

697
00:35:09.679 --> 00:35:13.079
<v Speaker 3>It like closes your third eye. And it's also a

698
00:35:13.079 --> 00:35:15.800
<v Speaker 3>way that your brain can sense light. It's how your your.

699
00:35:15.679 --> 00:35:20.719
<v Speaker 2>Body basically like synchronizes hormones throughout your whole body.

700
00:35:20.760 --> 00:35:23.440
<v Speaker 3>So it can like turn change your whole.

701
00:35:23.239 --> 00:35:26.719
<v Speaker 2>Endycurrent system if you set off your if you close

702
00:35:26.800 --> 00:35:30.000
<v Speaker 2>or calcify your pineal plan so all sorts of things

703
00:35:30.000 --> 00:35:32.639
<v Speaker 2>could happen just with that one chemical. But I think

704
00:35:32.719 --> 00:35:35.960
<v Speaker 2>there was also graphene oxide on there. There was different

705
00:35:36.519 --> 00:35:40.320
<v Speaker 2>schools that said they have been given the special masks,

706
00:35:40.400 --> 00:35:44.320
<v Speaker 2>even that had graphine in them similar like the exact

707
00:35:44.440 --> 00:35:48.480
<v Speaker 2>same phenomenon about the fibers that actually move and respond

708
00:35:48.519 --> 00:35:49.400
<v Speaker 2>to magnetics.

709
00:35:49.840 --> 00:35:51.280
<v Speaker 3>Graphine oxide has.

710
00:35:51.360 --> 00:35:54.119
<v Speaker 2>A magnetic property to it, That's why they wanted to

711
00:35:54.239 --> 00:35:58.360
<v Speaker 2>use it. But it's also supposed to be clean. So

712
00:35:58.400 --> 00:36:01.880
<v Speaker 2>they were saying, like, we're using this to make it

713
00:36:01.920 --> 00:36:07.360
<v Speaker 2>anti bacterial because it has anti bacterial properties. But both

714
00:36:07.400 --> 00:36:12.960
<v Speaker 2>the swabs and some of the masks had graphene fibers

715
00:36:13.000 --> 00:36:15.800
<v Speaker 2>in them that could maybe do that.

716
00:36:16.280 --> 00:36:18.679
<v Speaker 1>And so if they can't inject the idea what.

717
00:36:18.559 --> 00:36:20.719
<v Speaker 3>That would do if you shove it off your nose

718
00:36:21.079 --> 00:36:22.159
<v Speaker 3>over and over and over.

719
00:36:22.440 --> 00:36:24.880
<v Speaker 1>So they can't inject the graphene into you. They can

720
00:36:25.400 --> 00:36:27.639
<v Speaker 1>get it in there another way. And of course I

721
00:36:27.800 --> 00:36:30.599
<v Speaker 1>mentioned this many times too. There's a couple of different batches,

722
00:36:30.639 --> 00:36:34.159
<v Speaker 1>each of them over a million of these shots in Japan,

723
00:36:34.639 --> 00:36:37.400
<v Speaker 1>and they noticed that they were getting black particulates. I

724
00:36:37.400 --> 00:36:39.199
<v Speaker 1>don't know if it happened because they didn't keep them

725
00:36:39.199 --> 00:36:42.199
<v Speaker 1>at the super cold temperatures or whatever, but they noticed

726
00:36:42.480 --> 00:36:46.920
<v Speaker 1>black participants in they particulates, and they said they reacted

727
00:36:46.960 --> 00:36:50.360
<v Speaker 1>with magnets. Yeah, so what is that? But they would

728
00:36:51.280 --> 00:36:54.599
<v Speaker 1>end the story, no more talking about that, and the

729
00:36:54.679 --> 00:36:57.000
<v Speaker 1>Japanese government threw away a couple of million of these

730
00:36:57.119 --> 00:37:00.000
<v Speaker 1>vaccines because of that type of thing. But yeah, there's

731
00:37:00.000 --> 00:37:04.239
<v Speaker 1>there's so many issues there, and people have been lied

732
00:37:04.280 --> 00:37:07.079
<v Speaker 1>to so thoroughly about all the stuff. This is why

733
00:37:07.159 --> 00:37:10.119
<v Speaker 1>it's not a dead issue. It is still alive, and

734
00:37:10.159 --> 00:37:12.079
<v Speaker 1>they're going to try to do all this stuff again,

735
00:37:12.599 --> 00:37:15.800
<v Speaker 1>and since it worked so well, they will use the

736
00:37:15.840 --> 00:37:18.119
<v Speaker 1>same tactics again. That's why it's very important to talk

737
00:37:18.159 --> 00:37:21.119
<v Speaker 1>about these different tactics. And that's amazing.

738
00:37:21.880 --> 00:37:26.119
<v Speaker 2>Yes, right, they're moving forward with the mRNA. I mean

739
00:37:26.159 --> 00:37:28.679
<v Speaker 2>they're not only putting it in our food. Like we've

740
00:37:28.679 --> 00:37:31.199
<v Speaker 2>probably heard. I'm sure your audience has heard about the

741
00:37:31.239 --> 00:37:34.639
<v Speaker 2>bird flu and how they're doing the self amplifying bird

742
00:37:34.639 --> 00:37:37.800
<v Speaker 2>flue injections for poultry and they're trying to get it

743
00:37:37.840 --> 00:37:42.000
<v Speaker 2>in cattle, and they've had mRNA shots in pork, so

744
00:37:42.079 --> 00:37:44.599
<v Speaker 2>almost all all the pork is tainted now since like

745
00:37:44.639 --> 00:37:48.000
<v Speaker 2>twenty eighteen. Now they're rolling it out for pets. So

746
00:37:48.039 --> 00:37:49.639
<v Speaker 2>now when you go in, you try it, and you

747
00:37:49.679 --> 00:37:52.559
<v Speaker 2>have to get your annual RABY shot for your pets.

748
00:37:52.840 --> 00:37:54.280
<v Speaker 2>Now that's going to be mRNA.

749
00:37:54.639 --> 00:37:57.800
<v Speaker 3>They're moving over to the m RNA platform for all

750
00:37:57.880 --> 00:38:01.360
<v Speaker 3>the vaccines. Yes, so norm is that who might be

751
00:38:01.400 --> 00:38:02.840
<v Speaker 3>a little like.

752
00:38:03.000 --> 00:38:05.960
<v Speaker 2>Cautious about COVID nineteen because they've heard the rumors by

753
00:38:06.000 --> 00:38:07.800
<v Speaker 2>now most of them, but.

754
00:38:07.719 --> 00:38:09.840
<v Speaker 3>They haven't heard that now.

755
00:38:09.679 --> 00:38:13.400
<v Speaker 2>Your RSV, your flu, and a lot of even like

756
00:38:13.440 --> 00:38:16.960
<v Speaker 2>the childhood vaccines are moving over to this mRNA platform

757
00:38:17.079 --> 00:38:19.800
<v Speaker 2>where they get to bypass clinical trials.

758
00:38:20.199 --> 00:38:23.679
<v Speaker 3>So it still hasn't been This is an experiment that is.

759
00:38:23.639 --> 00:38:27.639
<v Speaker 2>Now being rolled out to all our vaccines under the

760
00:38:27.679 --> 00:38:30.840
<v Speaker 2>guise of this is totally fine, this is normal science.

761
00:38:31.239 --> 00:38:35.119
<v Speaker 2>We've totally tested this, but it's absolutely not.

762
00:38:35.440 --> 00:38:36.679
<v Speaker 3>I mean they've.

763
00:38:36.280 --> 00:38:37.519
<v Speaker 1>Had that's right.

764
00:38:37.639 --> 00:38:41.000
<v Speaker 3>People have understood for like three years. Yeah, for the

765
00:38:41.119 --> 00:38:45.159
<v Speaker 3>first one, we just barely passed the first part of monitory.

766
00:38:45.719 --> 00:38:48.159
<v Speaker 1>That's right. And people need to understand that the guy

767
00:38:48.159 --> 00:38:50.920
<v Speaker 1>who boasted about being the father of the vaccine. First

768
00:38:50.920 --> 00:38:53.800
<v Speaker 1>things he did is you pointed out Stargate thing with

769
00:38:53.880 --> 00:38:55.599
<v Speaker 1>Larry Elison where he's talking about, well, we're going to

770
00:38:55.679 --> 00:38:58.280
<v Speaker 1>use AI to design custom design this for your genetics,

771
00:38:58.639 --> 00:39:01.320
<v Speaker 1>and then we will deliver it with an mr platform.

772
00:39:01.679 --> 00:39:05.000
<v Speaker 1>And the person that they put in as they chose

773
00:39:05.039 --> 00:39:07.199
<v Speaker 1>to put in at the head of the CDC, was

774
00:39:07.239 --> 00:39:10.679
<v Speaker 1>Susan Monirez and that had been what she was working

775
00:39:10.719 --> 00:39:16.960
<v Speaker 1>on with BARDA and with ARPA H and these dark

776
00:39:18.480 --> 00:39:22.280
<v Speaker 1>bioweapon companies that are part of the of the government

777
00:39:22.480 --> 00:39:27.000
<v Speaker 1>and the the military industrial conflicts and the bioweapon platforms

778
00:39:27.000 --> 00:39:29.239
<v Speaker 1>and things like that. That's what. So there's all these

779
00:39:29.320 --> 00:39:34.880
<v Speaker 1>different threads that tie this throughout the Trump administration pushing

780
00:39:35.159 --> 00:39:37.079
<v Speaker 1>m RNA for all these various things. And of course

781
00:39:37.119 --> 00:39:41.840
<v Speaker 1>then broke Rawlins, who's the Agricultural Secretary. She decides on

782
00:39:41.880 --> 00:39:45.639
<v Speaker 1>her own initiative that she's going to end this mass

783
00:39:45.679 --> 00:39:51.119
<v Speaker 1>culling of chickens by authorizing the mRNA bird flu for chickens,

784
00:39:51.159 --> 00:39:54.000
<v Speaker 1>and then they authorize it for other livestock as well.

785
00:39:54.880 --> 00:39:57.280
<v Speaker 1>It is the signals are all there that this is

786
00:39:57.320 --> 00:40:00.280
<v Speaker 1>all still going on, that Trump is right at the

787
00:40:00.280 --> 00:40:03.360
<v Speaker 1>epicenter of all this mr and A stuff. And I

788
00:40:03.400 --> 00:40:07.079
<v Speaker 1>guess what we can call now the m RNAi as

789
00:40:07.119 --> 00:40:10.199
<v Speaker 1>an AI artificial intelligence. It's all connected together, isn't it.

790
00:40:11.400 --> 00:40:15.400
<v Speaker 2>Absolutely, It's a giant web and it is going to

791
00:40:15.440 --> 00:40:21.039
<v Speaker 2>be tied to our behavior scores and if we comply,

792
00:40:21.239 --> 00:40:24.719
<v Speaker 2>how much we comply with it? Looking at you know,

793
00:40:24.760 --> 00:40:29.000
<v Speaker 2>who's monitoring the DNA where they have to report the

794
00:40:29.159 --> 00:40:35.920
<v Speaker 2>PCR results, to who's hiding the adverse effects of the vaccine?

795
00:40:36.400 --> 00:40:41.719
<v Speaker 2>Putting that all together and looking at where are they

796
00:40:41.760 --> 00:40:46.480
<v Speaker 2>actually where are we reporting all of these PCR results,

797
00:40:46.480 --> 00:40:51.679
<v Speaker 2>and where are we reporting the COVID nineteen case numbers.

798
00:40:51.719 --> 00:40:55.199
<v Speaker 2>And now we actually have a code to report the

799
00:40:55.199 --> 00:40:57.360
<v Speaker 2>COVID nineteen adverse effects, but it's.

800
00:40:57.199 --> 00:41:02.519
<v Speaker 3>Still not being used. So looking at that and trying.

801
00:41:02.239 --> 00:41:05.159
<v Speaker 2>To figure out where the code was and why we're

802
00:41:05.199 --> 00:41:08.239
<v Speaker 2>not able to report it still, I happen to find

803
00:41:08.280 --> 00:41:12.800
<v Speaker 2>that every agency involved in monitoring COVID nineteen cases and

804
00:41:12.920 --> 00:41:17.920
<v Speaker 2>vaccination tracking specifically because there's so many vaccine.

805
00:41:17.480 --> 00:41:21.440
<v Speaker 3>Registries that blows your mind. It's tied to national security.

806
00:41:21.760 --> 00:41:25.559
<v Speaker 3>Oh yeah, so it's a matter of national security if

807
00:41:25.559 --> 00:41:27.480
<v Speaker 3>you participate in this scheme or.

808
00:41:28.960 --> 00:41:31.800
<v Speaker 1>Yeah, this is all DARPA and it's all the military

809
00:41:32.079 --> 00:41:35.480
<v Speaker 1>and the intelligence agencies and all of the Dark Winter

810
00:41:35.559 --> 00:41:37.880
<v Speaker 1>stuff they had, you know, Fauci and the former head

811
00:41:37.920 --> 00:41:40.800
<v Speaker 1>of the CIA was playing the role of the president

812
00:41:40.880 --> 00:41:43.400
<v Speaker 1>during the first Germ game of Dark Winter. I mean,

813
00:41:43.440 --> 00:41:46.239
<v Speaker 1>it's all the usual suspects that are involved in all

814
00:41:46.280 --> 00:41:50.639
<v Speaker 1>this stuff. It really is a bioweapon that is really

815
00:41:50.679 --> 00:41:54.679
<v Speaker 1>targeted to the population, and it truly is amazing.

816
00:41:54.800 --> 00:41:56.639
<v Speaker 2>I think they're even going to try and do more

817
00:41:56.760 --> 00:42:00.679
<v Speaker 2>data mining that go even further than PCR testing with

818
00:42:00.800 --> 00:42:06.480
<v Speaker 2>the wearables where rollout that we're getting now because the information,

819
00:42:06.719 --> 00:42:11.320
<v Speaker 2>like when I learned that our COVID nineteen case numbers

820
00:42:11.639 --> 00:42:16.559
<v Speaker 2>the PCR test is actually getting reported to foreign countries

821
00:42:16.920 --> 00:42:20.559
<v Speaker 2>and our DNA is being data mined, and they're able

822
00:42:20.599 --> 00:42:22.960
<v Speaker 2>to tell if we've had a vaccine or not, what's

823
00:42:23.000 --> 00:42:26.119
<v Speaker 2>our ethnicity, where we are, how much money we make.

824
00:42:26.199 --> 00:42:29.760
<v Speaker 2>Like they're layering all of this information and during Operation

825
00:42:29.880 --> 00:42:33.559
<v Speaker 2>work Speed, they had a program called Tiberius, which was

826
00:42:33.679 --> 00:42:38.079
<v Speaker 2>used in hospitals. There's different palanteer programs that are used

827
00:42:38.079 --> 00:42:41.719
<v Speaker 2>in hospitals to monitor and manage the hospital down to

828
00:42:41.800 --> 00:42:44.519
<v Speaker 2>like staffing. There was even a program that was part

829
00:42:44.599 --> 00:42:48.960
<v Speaker 2>of Operation work Speed called HHS Protect and the hospitals

830
00:42:49.000 --> 00:42:51.320
<v Speaker 2>had to report how many ventilators were in use, how

831
00:42:51.320 --> 00:42:52.519
<v Speaker 2>many patients were there.

832
00:42:54.880 --> 00:42:57.960
<v Speaker 3>I don't know why my camera just stopped. That was weird.

833
00:42:58.280 --> 00:43:02.320
<v Speaker 1>Well I still have audio, literally, just I didn't do it.

834
00:43:02.440 --> 00:43:04.639
<v Speaker 1>You're that's good, You're back.

835
00:43:06.599 --> 00:43:09.280
<v Speaker 2>So they had this program that hospitals had to report

836
00:43:09.320 --> 00:43:11.880
<v Speaker 2>how many ventilators, how many patients are in the ICU,

837
00:43:13.119 --> 00:43:14.159
<v Speaker 2>how much rendzivier.

838
00:43:14.239 --> 00:43:17.360
<v Speaker 3>We were using what's our census report?

839
00:43:17.480 --> 00:43:19.880
<v Speaker 2>Like all kinds of information that we that even the

840
00:43:19.920 --> 00:43:22.280
<v Speaker 2>hospital didn't want to have to report, in addition to

841
00:43:22.280 --> 00:43:24.559
<v Speaker 2>all the other data mining we were doing.

842
00:43:24.960 --> 00:43:27.480
<v Speaker 3>And that program was a pallunteer.

843
00:43:27.000 --> 00:43:34.360
<v Speaker 2>Program called Tiberius, which it's used in Gaza, and that's

844
00:43:34.639 --> 00:43:36.880
<v Speaker 2>the one that they used to assign risk scores.

845
00:43:36.920 --> 00:43:39.760
<v Speaker 3>Well, they've used that here already in America during.

846
00:43:39.519 --> 00:43:42.639
<v Speaker 2>Operation Warp Speed to figure out if you were vaccinated

847
00:43:42.760 --> 00:43:47.000
<v Speaker 2>or not to target different ethnic groups for vaccines, and

848
00:43:47.039 --> 00:43:49.280
<v Speaker 2>then to figure out where the counter measures, as in,

849
00:43:49.440 --> 00:43:51.519
<v Speaker 2>where did the ventilators need to go? Where did the

850
00:43:51.639 --> 00:43:56.159
<v Speaker 2>rend deesevir need to go. So they've already had these

851
00:43:56.320 --> 00:43:59.679
<v Speaker 2>programs in place that are tied into our medical records.

852
00:44:00.039 --> 00:44:01.960
<v Speaker 3>And then to hear Larry Ellison.

853
00:44:01.639 --> 00:44:05.039
<v Speaker 2>Say we're going to use your medical records and your DNA,

854
00:44:05.119 --> 00:44:09.119
<v Speaker 2>your personal data to design stuff directly to you. And

855
00:44:09.159 --> 00:44:12.000
<v Speaker 2>then in addition they say we're going to put wearables

856
00:44:12.039 --> 00:44:15.199
<v Speaker 2>on you. They're going to monitor your body at all

857
00:44:15.280 --> 00:44:19.119
<v Speaker 2>times for the purposes of national security. And I don't

858
00:44:19.159 --> 00:44:22.440
<v Speaker 2>know how that doesn't send shivers down the spine in

859
00:44:22.480 --> 00:44:22.960
<v Speaker 2>this country.

860
00:44:23.039 --> 00:44:25.000
<v Speaker 1>Yeah. Absolutely. I mean, we look at their big data

861
00:44:25.039 --> 00:44:28.199
<v Speaker 1>thing that they have to have total information awareness. Remember

862
00:44:28.199 --> 00:44:30.800
<v Speaker 1>how everybody was creeped out about that, and yet that

863
00:44:30.920 --> 00:44:33.480
<v Speaker 1>is what this really is. The implementation of this. The

864
00:44:33.519 --> 00:44:35.599
<v Speaker 1>big data is looking at everything that you're doing, not

865
00:44:35.719 --> 00:44:37.719
<v Speaker 1>just online, but they've got to get it out of

866
00:44:37.760 --> 00:44:41.840
<v Speaker 1>cyberspace into physical space with all these other aspects of it.

867
00:44:42.239 --> 00:44:47.280
<v Speaker 1>And companies like Palanteer they have been focused on geospatial

868
00:44:47.360 --> 00:44:51.480
<v Speaker 1>intelligence and data mining and making all these drawing all

869
00:44:51.480 --> 00:44:55.239
<v Speaker 1>these conclusions about people's politics or religion so forth, based

870
00:44:55.320 --> 00:44:59.559
<v Speaker 1>just on even geospatial intelligence. When they get to additional

871
00:44:59.559 --> 00:45:03.880
<v Speaker 1>factors like this, they know everything about you and we're

872
00:45:03.920 --> 00:45:06.880
<v Speaker 1>not allowed to know anything about what they do or

873
00:45:06.880 --> 00:45:09.639
<v Speaker 1>the results. That's why it really is, at its essence

874
00:45:09.639 --> 00:45:13.119
<v Speaker 1>that is an information war, because you know, it is

875
00:45:13.199 --> 00:45:16.119
<v Speaker 1>all the information that's flowing in one direction, and they

876
00:45:16.159 --> 00:45:20.760
<v Speaker 1>have an insatiable appetite to know everything about everybody. It

877
00:45:20.880 --> 00:45:24.880
<v Speaker 1>is part and parcel of their control, this total knowledge

878
00:45:24.920 --> 00:45:29.039
<v Speaker 1>about everyone and everything. And now AI and especially companies

879
00:45:29.119 --> 00:45:32.440
<v Speaker 1>like Palanteer have given them the ability to go through

880
00:45:32.440 --> 00:45:34.840
<v Speaker 1>and collate this massive amount of data that they've been

881
00:45:34.840 --> 00:45:37.960
<v Speaker 1>collecting for some time. Now they can make sense of it.

882
00:45:38.039 --> 00:45:41.159
<v Speaker 1>Because it was so much information they've been collecting on people,

883
00:45:41.360 --> 00:45:43.559
<v Speaker 1>they couldn't sort through it with humans, and so now

884
00:45:43.599 --> 00:45:46.360
<v Speaker 1>they've got the AI that can sort through this. That

885
00:45:46.440 --> 00:45:50.440
<v Speaker 1>is what's so concerning about all of this, And it really.

886
00:45:50.280 --> 00:45:52.280
<v Speaker 3>Is because when you go on social media and you're

887
00:45:52.320 --> 00:45:55.199
<v Speaker 3>fed an algorithm of like which which posts do you

888
00:45:55.280 --> 00:45:58.519
<v Speaker 3>get to see today? That's going to be how are

889
00:45:58.840 --> 00:46:00.519
<v Speaker 3>our whole lives run?

890
00:46:00.880 --> 00:46:03.079
<v Speaker 2>And I don't know how many people I've known complain

891
00:46:03.159 --> 00:46:04.239
<v Speaker 2>about their algorithm.

892
00:46:04.360 --> 00:46:05.559
<v Speaker 3>Oh it's just it's.

893
00:46:05.440 --> 00:46:07.880
<v Speaker 2>Triggering me today or I don't know why my algorithm's

894
00:46:07.880 --> 00:46:10.119
<v Speaker 2>all screwed up and it's showing me blah blah. Well,

895
00:46:10.199 --> 00:46:13.440
<v Speaker 2>imagine if that same algorithm is now your government gets

896
00:46:13.519 --> 00:46:15.760
<v Speaker 2>to make decisions about if you're a good person or not,

897
00:46:15.840 --> 00:46:17.639
<v Speaker 2>and if you get to go out today, or if

898
00:46:17.679 --> 00:46:19.079
<v Speaker 2>you get to eat today, or if you get to

899
00:46:19.159 --> 00:46:20.039
<v Speaker 2>use your money today.

900
00:46:20.239 --> 00:46:23.079
<v Speaker 1>Yeah, that's right. Yeah, it's all about total control. And

901
00:46:23.119 --> 00:46:27.039
<v Speaker 1>of course that guy Lucky Loutnik, Howard Lutnik, who is

902
00:46:27.079 --> 00:46:30.239
<v Speaker 1>bragging about how much money he can make knowing that

903
00:46:30.480 --> 00:46:33.880
<v Speaker 1>the government was going to just flood cash into these

904
00:46:34.159 --> 00:46:36.199
<v Speaker 1>pharmaceutical companies. Now I can go in and I can

905
00:46:36.239 --> 00:46:38.400
<v Speaker 1>make money off of that. Right, So he's got this

906
00:46:38.800 --> 00:46:41.960
<v Speaker 1>insider information. He's the guy that's going to be doing

907
00:46:42.079 --> 00:46:47.039
<v Speaker 1>the new public private version of a CBDC. And once

908
00:46:47.079 --> 00:46:50.440
<v Speaker 1>they know all your financial transactions, all the rest, any

909
00:46:50.679 --> 00:46:54.239
<v Speaker 1>part of this puzzle would give them pretty much total

910
00:46:54.239 --> 00:46:57.000
<v Speaker 1>control over your life. But they've got so many different

911
00:46:57.400 --> 00:47:02.119
<v Speaker 1>facets where they are monitoring and information about you that

912
00:47:02.199 --> 00:47:05.679
<v Speaker 1>it truly is just overwhelming to even try to think

913
00:47:05.679 --> 00:47:09.400
<v Speaker 1>about it. But again, it's the ignorance and the darkness

914
00:47:09.440 --> 00:47:12.800
<v Speaker 1>that they have fooled everybody with. That's why it's so

915
00:47:12.840 --> 00:47:16.920
<v Speaker 1>important what you're doing. And again the site is thrill

916
00:47:17.039 --> 00:47:22.159
<v Speaker 1>Kill medicalcult dot com. And you're also on substack and

917
00:47:22.480 --> 00:47:27.760
<v Speaker 1>people find that at Zowe dot substack dot com. And

918
00:47:27.800 --> 00:47:31.559
<v Speaker 1>it's very important for people to use this information try

919
00:47:31.559 --> 00:47:34.239
<v Speaker 1>to wake people up as to what's going on. They've

920
00:47:34.400 --> 00:47:37.559
<v Speaker 1>not only hidden stuff from people, but they have in

921
00:47:37.679 --> 00:47:41.039
<v Speaker 1>terms of inoculation. The one thing they've inoculated you against

922
00:47:41.519 --> 00:47:45.280
<v Speaker 1>is the truth, and they've inoculated you against questioning what

923
00:47:45.320 --> 00:47:48.360
<v Speaker 1>they tell people. And that's why you need to try

924
00:47:48.400 --> 00:47:51.000
<v Speaker 1>to wake people up with sites like Zoe's as well.

925
00:47:51.440 --> 00:47:53.679
<v Speaker 1>So is there anything else that you would like to hit.

926
00:47:55.800 --> 00:47:58.559
<v Speaker 3>I just if anyone is interested.

927
00:47:58.679 --> 00:48:02.159
<v Speaker 2>I'm going to be doing arial for the people that

928
00:48:02.239 --> 00:48:08.360
<v Speaker 2>we've lost to hospital protocols and vaccine injured, including women

929
00:48:08.519 --> 00:48:13.639
<v Speaker 2>who may have had a stillbirth or a miscarriage.

930
00:48:13.400 --> 00:48:17.480
<v Speaker 3>Due to the shot. So if you go to my website,

931
00:48:17.960 --> 00:48:20.840
<v Speaker 3>there's a page called vigil and if.

932
00:48:20.719 --> 00:48:22.960
<v Speaker 2>You'd like to submit a name of a loved one,

933
00:48:23.039 --> 00:48:25.280
<v Speaker 2>you don't have to tell us anything more, just the

934
00:48:25.360 --> 00:48:27.199
<v Speaker 2>name of a loved one. You could even just put

935
00:48:27.280 --> 00:48:29.280
<v Speaker 2>you know, baby boy, or baby Girl if you like,

936
00:48:29.960 --> 00:48:34.800
<v Speaker 2>and we're going to be lighting a candle in remembrance

937
00:48:35.000 --> 00:48:35.840
<v Speaker 2>of your loved ones.

938
00:48:37.239 --> 00:48:40.280
<v Speaker 3>So if you like, please go and submit a name

939
00:48:40.360 --> 00:48:41.000
<v Speaker 3>and we will.

940
00:48:40.880 --> 00:48:44.559
<v Speaker 1>Honor your lost It's important. We cannot forget what they've

941
00:48:44.559 --> 00:48:46.960
<v Speaker 1>done to us, and we cannot forget those that they

942
00:48:46.960 --> 00:48:50.719
<v Speaker 1>have killed. That's absolutely vital. Thank you so much for

943
00:48:50.760 --> 00:48:54.719
<v Speaker 1>what you do. Again, Zoe Smith. Her website is Thrill

944
00:48:55.000 --> 00:48:58.360
<v Speaker 1>Kill Medical Cult dot com and you can find her

945
00:48:58.400 --> 00:49:02.159
<v Speaker 1>on substack at Zoe dot substack dot com and she's

946
00:49:02.199 --> 00:49:05.719
<v Speaker 1>felled Zoe z Owe. Thank you so much for joining us.

947
00:49:05.760 --> 00:49:08.039
<v Speaker 1>We take a quick break, folks, and we will be

948
00:49:08.199 --> 00:49:09.440
<v Speaker 1>right back. Stay with us.

949
00:49:25.280 --> 00:49:26.760
<v Speaker 3>M H.

950
00:49:56.119 --> 00:49:58.480
<v Speaker 1>You're listening to the David Knight Show.

951
00:50:00.920 --> 00:50:04.719
<v Speaker 4>Here News now at apsradionews dot com or get the

952
00:50:04.800 --> 00:50:08.960
<v Speaker 4>APS Radio app and never miss another story.

953
00:50:09.840 --> 00:50:12.559
<v Speaker 1>Well, let's take a look at the AI bubble, and

954
00:50:12.599 --> 00:50:15.440
<v Speaker 1>of course it's kind of interesting. Soft Bank. You know,

955
00:50:15.480 --> 00:50:18.719
<v Speaker 1>we were just talking about Stargate project Larry Ellison and

956
00:50:19.199 --> 00:50:22.360
<v Speaker 1>the bank that came in was this Japanese bank called

957
00:50:22.440 --> 00:50:27.400
<v Speaker 1>soft Bank. They're very much invested in technology issues and

958
00:50:28.000 --> 00:50:32.079
<v Speaker 1>that was what Trump kicked off his second administration with well.

959
00:50:32.599 --> 00:50:37.480
<v Speaker 1>Soft Bank dumped every single share of Nvidia, and that

960
00:50:37.559 --> 00:50:40.280
<v Speaker 1>had an effect on the entire market, not just on

961
00:50:40.519 --> 00:50:44.840
<v Speaker 1>Nvidia stock. Remember we talked about Michael Burry, the guy

962
00:50:45.000 --> 00:50:52.320
<v Speaker 1>behind the the who sussed out big short who sussed

963
00:50:52.320 --> 00:50:55.559
<v Speaker 1>out what was going on the market, real estate market

964
00:50:55.599 --> 00:51:00.000
<v Speaker 1>fraud and bubble, and he focused on shorting in video

965
00:51:00.360 --> 00:51:04.880
<v Speaker 1>as well as Palenteer. And so we've had a lot

966
00:51:04.920 --> 00:51:08.199
<v Speaker 1>of big players and people who are very professional, very savvy,

967
00:51:08.880 --> 00:51:12.920
<v Speaker 1>who are calling bubble and so in Video went down

968
00:51:12.920 --> 00:51:16.159
<v Speaker 1>by one and a half percent after soft Bank sold

969
00:51:16.679 --> 00:51:20.960
<v Speaker 1>all of their shares, and and then of course Pollenteer

970
00:51:21.079 --> 00:51:23.719
<v Speaker 1>is also going down. And Volenteer was really the biggest

971
00:51:23.800 --> 00:51:26.880
<v Speaker 1>bet that Michael Burry, of the big short put on.

972
00:51:26.960 --> 00:51:28.920
<v Speaker 1>It was actually when he did the big short of

973
00:51:28.960 --> 00:51:31.880
<v Speaker 1>over a billion dollars, which is like eighty percent of

974
00:51:31.960 --> 00:51:36.679
<v Speaker 1>his company or his fond or whatever. So eighty four

975
00:51:36.760 --> 00:51:41.559
<v Speaker 1>percent of that short was Palenteer and fourteen percent or

976
00:51:41.679 --> 00:51:46.199
<v Speaker 1>sixteen percent was the in Vidia And somebody put this

977
00:51:46.320 --> 00:51:50.480
<v Speaker 1>up in verse Kramer. So look at Kramer as being

978
00:51:50.519 --> 00:51:53.119
<v Speaker 1>a contra indicator of what they should invest in. The

979
00:51:53.199 --> 00:51:57.360
<v Speaker 1>said Jim Crater. Jim Kramer. Kramer remains undefeated and so

980
00:51:57.400 --> 00:51:59.760
<v Speaker 1>what they have there is a suite that he put

981
00:51:59.800 --> 00:52:02.639
<v Speaker 1>out as recently as the twenty ninth of October, and

982
00:52:02.679 --> 00:52:05.639
<v Speaker 1>he was saying, I'm taking my price target for Pollenteer

983
00:52:05.719 --> 00:52:08.880
<v Speaker 1>from two hundred to two hundred and fifty exclamation mark.

984
00:52:09.119 --> 00:52:11.199
<v Speaker 1>Well it went from two hundred when he said that

985
00:52:11.719 --> 00:52:15.639
<v Speaker 1>down to now about maybe one hundred and sixty five

986
00:52:15.679 --> 00:52:18.719
<v Speaker 1>one hundred and seventy. As I said, he remains undefeated

987
00:52:19.000 --> 00:52:22.760
<v Speaker 1>as always being the counter indicator of where things should go.

988
00:52:23.159 --> 00:52:25.400
<v Speaker 1>And you know, when I look at all of this

989
00:52:25.599 --> 00:52:29.719
<v Speaker 1>hype about AI robots, so we got from Elon Musk

990
00:52:29.800 --> 00:52:33.360
<v Speaker 1>last week and so many others, you know, the AI hype,

991
00:52:33.400 --> 00:52:37.280
<v Speaker 1>the robotic hype and everything. This is Russia and their

992
00:52:37.360 --> 00:52:40.159
<v Speaker 1>robot that they wanted to demonstrate. Again, we always hear

993
00:52:40.159 --> 00:52:44.480
<v Speaker 1>about Russian bots, right, they're talking about AI that is

994
00:52:45.440 --> 00:52:48.440
<v Speaker 1>putting out narratives on social media, But here's a literal

995
00:52:48.559 --> 00:52:52.920
<v Speaker 1>Russian bot and people's comments are about this. It looks like

996
00:52:53.000 --> 00:52:56.800
<v Speaker 1>they used a drunk to teach us robot how to walk.

997
00:52:58.239 --> 00:53:01.599
<v Speaker 1>So that's walking there, that's what happens. Takes another couple

998
00:53:01.639 --> 00:53:04.599
<v Speaker 1>of steps and just like a drunk, it falls down

999
00:53:04.599 --> 00:53:08.840
<v Speaker 1>on the side watches. It's coming staggering that goes down.

1000
00:53:09.360 --> 00:53:13.599
<v Speaker 1>So let's hope that that is a metaphor for robotics

1001
00:53:13.599 --> 00:53:16.159
<v Speaker 1>and for AI. Again, as I said last week, a

1002
00:53:16.159 --> 00:53:18.000
<v Speaker 1>lot of people are looking at this and they said, well,

1003
00:53:18.320 --> 00:53:21.119
<v Speaker 1>you know what, how does this end. Well, there's only

1004
00:53:21.119 --> 00:53:25.000
<v Speaker 1>two or three combinations of this that could go. Either

1005
00:53:25.559 --> 00:53:29.960
<v Speaker 1>the AI hype and the bubble bursts and takes down

1006
00:53:30.000 --> 00:53:35.119
<v Speaker 1>the economy big time or global economy big time, or

1007
00:53:35.280 --> 00:53:38.599
<v Speaker 1>it is successful and it takes everybody's jobs. And I said, well,

1008
00:53:38.639 --> 00:53:43.199
<v Speaker 1>there's a third alternative that it is sustained by the

1009
00:53:43.239 --> 00:53:46.920
<v Speaker 1>governments who use it to control us. And I think

1010
00:53:46.960 --> 00:53:49.760
<v Speaker 1>that is true of both AI and robotics. I think

1011
00:53:49.840 --> 00:53:54.480
<v Speaker 1>that the best use case for all this stuff is

1012
00:53:54.599 --> 00:53:59.639
<v Speaker 1>tyranny and totalitarianism. Well, soft Bank dumped their entire Nvidio stake,

1013
00:54:00.440 --> 00:54:04.320
<v Speaker 1>but they're not getting out of AI completely, so it's

1014
00:54:04.360 --> 00:54:09.719
<v Speaker 1>not a complete pushback against AI. They just decided that

1015
00:54:09.760 --> 00:54:14.599
<v Speaker 1>they would move from Nvidia to some other platforms. They

1016
00:54:14.599 --> 00:54:19.119
<v Speaker 1>are still involved in AI, and they had just under

1017
00:54:19.239 --> 00:54:23.559
<v Speaker 1>six billion dollar steak in Nvidia. And the guy who

1018
00:54:23.800 --> 00:54:26.760
<v Speaker 1>is the head of soft Bank, his name is go To.

1019
00:54:27.519 --> 00:54:30.679
<v Speaker 1>I guess he's the go to guy, if you want

1020
00:54:30.760 --> 00:54:33.400
<v Speaker 1>some tech capital. I can't say if we're in an

1021
00:54:33.480 --> 00:54:37.000
<v Speaker 1>AI bubble or not, said go to adding that the

1022
00:54:37.039 --> 00:54:40.679
<v Speaker 1>sale was for capital and can be utilized for our financing.

1023
00:54:40.719 --> 00:54:42.079
<v Speaker 1>So he's not going to say that we're in an

1024
00:54:42.079 --> 00:54:45.639
<v Speaker 1>AI bubble because he's got some other irons in the

1025
00:54:45.679 --> 00:54:47.679
<v Speaker 1>fire and he doesn't want to tank this thing. I

1026
00:54:47.679 --> 00:54:50.159
<v Speaker 1>can neither confirm nor deny that we are in an

1027
00:54:50.159 --> 00:54:53.639
<v Speaker 1>ALI bubble. Yeah, but a lot of people have been

1028
00:54:53.639 --> 00:54:56.360
<v Speaker 1>confirming that. As a matter of fact, Zero Hedge pointed out, said, well,

1029
00:54:56.360 --> 00:54:59.559
<v Speaker 1>we've had four recent articles that are really must read.

1030
00:54:59.559 --> 00:55:05.039
<v Speaker 1>Here's ahead lines the AI bubble watchout Metric has just snapped.

1031
00:55:06.159 --> 00:55:10.599
<v Speaker 1>AI is now a debt bubble too, quietly surpassing all

1032
00:55:10.679 --> 00:55:14.800
<v Speaker 1>banks to become the largest sector in the market. And

1033
00:55:15.000 --> 00:55:19.159
<v Speaker 1>Sam Altman denying open AI needs a government bailout. He

1034
00:55:19.280 --> 00:55:23.920
<v Speaker 1>just wants massive government subsidies. So yeah, we do the

1035
00:55:23.920 --> 00:55:26.679
<v Speaker 1>subsidies so we don't have to do the bailout. So

1036
00:55:27.440 --> 00:55:29.840
<v Speaker 1>it had in fact the course on Nvidio, but also

1037
00:55:30.119 --> 00:55:33.559
<v Speaker 1>on a lot of different stocks. The futures slid down

1038
00:55:34.119 --> 00:55:38.119
<v Speaker 1>as AI jitter's return, and yet no matter how many

1039
00:55:38.159 --> 00:55:40.400
<v Speaker 1>people come out, no matter how many people who are

1040
00:55:40.960 --> 00:55:44.159
<v Speaker 1>large and connected come out against this, you still have

1041
00:55:44.639 --> 00:55:48.719
<v Speaker 1>the bubble continues to inflate. And another company was involved

1042
00:55:48.719 --> 00:55:52.079
<v Speaker 1>in that as well, core Weave. They rent out access

1043
00:55:52.480 --> 00:55:58.159
<v Speaker 1>to the AI chips and they had some interesting issues

1044
00:55:58.199 --> 00:56:03.159
<v Speaker 1>there and setbacks as well. But this article from Free

1045
00:56:03.159 --> 00:56:06.639
<v Speaker 1>Thought Project is very timely. They said it is time

1046
00:56:06.800 --> 00:56:12.280
<v Speaker 1>to pay attention. Europe has just eviscerated monetary privacy and

1047
00:56:12.320 --> 00:56:14.519
<v Speaker 1>it's going to be coming here to the United States next.

1048
00:56:14.920 --> 00:56:18.400
<v Speaker 1>They're basically starting down the path of banning all cash,

1049
00:56:18.800 --> 00:56:22.280
<v Speaker 1>state run digital money. That's the law that has passed

1050
00:56:22.320 --> 00:56:25.320
<v Speaker 1>and it goes live in only four hundred days, and

1051
00:56:25.360 --> 00:56:27.639
<v Speaker 1>so they're going to make it criminal to pay cash

1052
00:56:27.960 --> 00:56:30.559
<v Speaker 1>for anything over ten thousand euros. But of course that

1053
00:56:30.639 --> 00:56:33.199
<v Speaker 1>level is going to continue to come down. That's why

1054
00:56:33.280 --> 00:56:36.800
<v Speaker 1>you need to get into physical gold and silver. You've

1055
00:56:36.840 --> 00:56:38.360
<v Speaker 1>got to get out of this system, and that's what

1056
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<v Speaker 1>they're talking about. They have a lot of different alternatives

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00:56:40.280 --> 00:56:43.679
<v Speaker 1>in this Freethought Project article. One thing they don't mention,

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00:56:43.800 --> 00:56:46.559
<v Speaker 1>strangely enough, is physical gold and silver. I think that

1059
00:56:46.679 --> 00:56:51.800
<v Speaker 1>is the simplest, easiest, most direct thing to essentially short

1060
00:56:52.559 --> 00:56:55.440
<v Speaker 1>the tautalitarianism that's what you need to be doing. Don't

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<v Speaker 1>short the market. Short that tatalitarianism. Go to David Knight,

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<v Speaker 1>Dye Gold. I'll take you to Tony Ones Wise Wolf Gold.

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<v Speaker 1>Have a good day. Thank you for joining us the

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<v Speaker 1>common Man. They created common Core and dumbed down our children.

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<v Speaker 1>They created common past track and control us. They're Commons

1066
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<v Speaker 1>project to make sure the commoners own nothing and the

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00:57:29.320 --> 00:57:35.719
<v Speaker 1>communist future. They see the common man as simple, unsophisticated ordinary.

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<v Speaker 1>But each of us has worth and dignity created in

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<v Speaker 1>the image of God. That is what we have in common.

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<v Speaker 1>That is what they want to take away. The most

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<v Speaker 1>powerful weapons are isolation, deception, intimidation. They desire to know

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<v Speaker 1>everything about us, while they hide everything from us. It's

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<v Speaker 1>time to turn that around and expose what they want

1074
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<v Speaker 1>to hide. Please share the information and links you'll find

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00:58:05.880 --> 00:58:09.519
<v Speaker 1>at the Davidnightshow dot com. Thank you for listening, Thank

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<v Speaker 1>you for sharing. If you can't support us financially, please

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<v Speaker 1>keep us in your prayers. Ddavidnightshow dot com
