WEBVTT

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All right. It is a real
honor to have with us doctor Andrew Kaufman.

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He is, among other things,
a forensic psychiatrist, and I've said

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for the longest time the only science
really going on here is behavioral psychology.

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He got his psychiatric training at Duke
University Medical Center. He also has a

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BS from MIT and molecular biology,
and so we're going to tap into that

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primarily today. Is a background of
biology, says. He's been qualified as

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an expert witness in local, state
and federal courts. I've held leadership positions

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and academic medicine and professional organizations.
He ran a startup company to develop a

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medical device that he invented and patented. So it's great to have on with

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us now, doctor Andrew Kaufman.
Thank you for joining us, Sir,

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Oh, it's a pleasure to be
here, David. One of the things

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that I wanted to talk to you
about, which I think is very very

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important, and I've not really talked
about this at all, and that is

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the difference between their models and having
anything that has been isolated. Talked to

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us a little bit about that,
what is involved with that because we just

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as a background, I'll just interject
this. You know, people have always

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heard about in vitro, right,
that means in the glass, you've heard

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about in vitro fertilization. But then
they look at effects of things as they

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do an experiment and a Petrie dish, and then they also look hopefully at

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what happens in living bodies. That's
in vivo. But now we have what

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they call I think it's in silico
or something like that, where they do

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the models, computer models, and
they don't bother to do any other stuff.

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It's their models. And of course
it was their models that got us

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into this lockdown marks the thirteen twenty
twenty. But let's talk a little bit

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about that models versus actually having some
kind of an isolated pathogen. Tell us

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a little bit about that. Well, let me first say that I really

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appreciate that you're bringing up this topic
and at this point, because it's really

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imperative to understand the truth about infectious
disease in order to prepare yourself to deal

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with whatever may come in the future, because we know that this program will

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run again. So and you've hit
the nail on the head with the idea

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of models or I call them simulations
and there's really two parallel avenues of research

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in virology where they do simulation.
So one is with the physical laboratory experiments

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that are in vitro like you described
in a dish in the laboratory with a

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lot of artificial ingredients and conditions.
And then with respect to the genetic sequences

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or they so called viral genome.
And this is how the variance, by

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the way, are identified, is
purely by a computer model of the little

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genetic fragments of unknown origin. So
I could explain these two separately. The

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physical laboratory experiments are a little bit
more straightforward, so let me start there

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that. And it's important to begin
with definitions because the mainstream or if you

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look in a typical biology or microbiology
textbook, they'll have a specific definition of

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viruses, and it describes them as
particles that are made of certain materials,

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that they generally have a protein coat
or shell, and inside they contain proteins

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and genetic material, and that they
are what's called obligate intracellular parasites. In

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other words, they can't reproduce on
their own, but they allegedly invade host

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cells, which would be like our
cells if we got thick with a virus,

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and inside our cells, they use
our own machinery to make copies of

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themselves and then they would you know, explode out, and those particles would

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spread around and penetrate other cells and
do the same thing, and that's how

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we're told they cause disease. So
that's the definition of a virus. Now.

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Originally, when the word virus was
used as a hypothesis to explain illness

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and medicine, it didn't have that
definition at that time. It was just

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thought to be a poison. In
fact, the word virus comes from the

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Latin meaning poison or it was used
to describe things like snake venom back in

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antiquity. But in the modern era, like around the turn of the twentieth

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century, when there were experiments with
tobacco mosaic virus, which is not a

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virus. At the time, the
theory or a hypothesis was that it was

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a toxic protein perhaps that could reproduce
itself or amplify itself, but they had

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no idea about particles. When the
electron microscope was invented in the late nineteen

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thirties, that's when scientists actually started
looking at disease tissue for illnesses that they

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couldn't explain otherwise, Like in other
words, they didn't find bacteria there,

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and they suspected there was some small
poison or particle like that they called the

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virus at the time, they began
looking at disease tissue, but they couldn't

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find any particles that represented a single
thing. They just found essentially breakdown products

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of our own cells and tissues.
And now it's well characterized that when our

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cells or any other animal cells are
damaged, that they form little particles.

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Kind of like if your house got
hit by a tree and a hurricane and

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you had to clean up the mess, you would take all of the destroyed

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materials and put them in plastic bags, and each plastic bag would be like

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a separate compartment. And that's a
way to dispose of the trash without getting

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the contents everywhere. And our bodies
do the same thing. So what happened

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was is that even though they were
unable to find these particles or have a

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clear theory about viruses, they already
had been making vaccines and they were convinced

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themselves that they were growing viruses in
a cell culture when they made these vaccines.

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Even though they had no evidence of
that. In other words, they

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never identified the actual virus in there
conclusively. They just assumed that it was

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always in there. And there was
a problem though, because they thought that

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they had to use the type of
cells that are infected. So, for

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example, in polio, it's a
disease of the spinal cord, so they

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would thought that to grow the poliovirus, which they never showed to exist,

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that they would have to use cultures
of spinal cord cells, and those are

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very very difficult to grow in the
laboratory. So a scientist named John Enders

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got an idea that what if we
tried using cells, They are easy to

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grow in the laboratory, and the
cells he chose were fetal stem cells,

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so in other words, from an
aborted fetus, the stem cells which grow

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very readily in the laboratory and they
stay alive pretty much forever. He took

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ground up spinal cords from children who
died of polio and added them to fetal

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cell cultures and claimed that this was
growing the virus successfully and used it to

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manufacture vaccines and actually won a Nobel
prize. And after that process was complete,

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he applied the same kind of process
to measles in a famous paper in

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nineteen fifty four, And in that
paper he did not actually claim that the

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experiment where he drew grew a cell
culture of foreign cells. In that experiment,

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he used monkey kidney cells that were
genetically modified in a commercially available cell

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line, so any laboratory around the
world could buy these cells and do this

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experiment. And he added secretions from
measle patients and put some antibiotics in the

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petri dish as well, and some
of those cultures ended up showing some damage

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to the cells, which he called
cytopathic effects or CPEs. And he also

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actually did a culture where he did
not add anything from a measles patient and

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got the same result damage to the
culture and CPS. And even in the

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paper that was published he stated,
you know that there must be other factors

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in the speriment that caused the CPE
in that control experiment, And he didn't

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make any claims that that experiment proved
the existence of measles. In fact,

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he said that what happens in vitro, just like you mentioned in a laboratory,

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does not inform us about what's happening
in the body. Oh, that's

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not science yet, Well it is. I would call it observation, because

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you're right, it didn't the scientific
method showed that those cytopathic effects were due

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to the experiment and not due to
the measles because they occurred when no measles

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was in the sample. But there
perhaps are still things that could be learned

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if there really was a virus in
that experiment. It's just that they never

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showed one. But what happened after
that is that other scientists use that procedure

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and started claiming that it showed a
new virus, that it discovered a new

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virus if there were cytopathic effects,
and they ignored the control experiment where there

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was no virus, or they didn't
ignore it exactly, but in their experiments

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they left that part out, so
in other words, they didn't do control

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experiments, so it was not scientific. They also didn't have an independent variable

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because they just added body fluids or
tissues that were diseased to the experiment.

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They never separated out a virus from
those body fluids or tissues because when they

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looked for that in the past,
they were never able to find it.

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But essentially, what's happening is that
if someone is sick, and let's say

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that it actually was due to a
virus, then essentially that person's body would

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be the cell culture for that virus
to reproduce. And it should be very

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easy to simply take out that part
of the body and find tons of virus

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because it's been reproducing. If it
didn't reproduce and spread around, it couldn't

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make you sick, So you'd have
so in other words, to do the

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experiment. It would be very easy
and should be you know, readily show

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the presence of this invasive particle.
But those experiments when they were done,

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didn't show that. And now they're
not no longer done because they have this

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other simulation in the laboratory where and
it's been shown that you can get the

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same results without adding any biological material
at all. You just put in the

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antibiotics and the cell culture medium with
reduced nutrition, which is the same protocol

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they use, and you can get
cytopathic effects. Wow. So this doctor

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Kaufman in a sense of you know, the subatomic models, you know,

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and and so we've had the Neils
Neil Bores model of the atom, and

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then we've moved on to quantum mechanics, and these are abstractions that people they

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make some observations and they say,
well, you know, if if this

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were true, because they can't see
it, you know, that's the key

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thing. They can't They can't observe
a virus there, and so they're coming

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up with these abstractions to try to
describe put is there at a subatomic level?

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Is that accurate or would you disagree
with that? Is that an abstractions

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to try to figure out what is
going on with disease transmission, but they

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can't really can't really see it or
prove it right. Yeah, So you

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know what I think you're You're on
the right track. And what I've observed

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within you know, the fields of
science or so called science and technology,

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is that sometimes we can make observations
about things and we can describe them so

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well that we can predict the behavior
of things in the future. And I

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think a great example of this is
with respect to Isaac Newton and gravity.

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So, as the story goes,
Newton observed an apple falling to the ground,

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and then he began to measure things
and you know, and observe things

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carefully, and then he was able
to come up with an equation that accurately

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described and predicted the you know,
how fast the apple would fall to the

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ground, And then he saw that
other things also fall at the same rate

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of acceleration, right, And that's
how we got the acceleration due to gravity.

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So we can do experiments where we
drop things and we can plug in

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the numbers to the equation, and
we can get pretty accurate predictions about what

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happens when we drop that thing.
However, it doesn't tell us anything at

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all about what makes it drop.
So, in other words, the cause

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why is it dropping? The equation
doesn't speak to that. Now, we

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they invented the word gravity to describe
that, but no one could show what

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gravity was, and it was assumed
to be a force all of these years,

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right, But then in the last
ten years, through some crazy experiments

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done with satellites, now the scientists
claim that it's not a force, that

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it's a disruption of the space time
continuum. And I don't think they can

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really prove that either. I think
that's just another hypothesis. Right, But

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the equations that I described earlier are
still useful because we can predict behavior.

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So in chemistry, the model of
the atom it has never been directly observed.

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There's only you inferential or circumstantial evidence
from which one explanation has been put

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forth as the model of the atom, But there are many other explanations that

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could be put forth that would explain
those experimental findings just is easily. But

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based on how we look at the
atom and the periodic table and the atomic

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numbers and such, we can use
this arbitrary system of nomenclature and of rules,

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and we can go to the laboratory
and we can synthesize chemicals and do

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chemical reactions that we can predict with
some accuracy. So it's useful to have

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that system, but it really doesn't
tell us the true nature of the atom

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or of matter. We only have, you know, one possible model for

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that, but we have no conclusive
evidence. And you know, it's a

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similar the reason why is right that
we don't have the ability to observe things

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at such a small scale that we
can see what it's really made of,

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or at least that's one hypothesis about
why, you know, we don't know

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it exactly. And so with that, because as we're talking about observation,

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let's talk a little bit about the
PCR thing, Karrie Molis's PCR because you

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know that is they talk about that
incessantly as you know, well, this

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is our observation. At what are
they really seeing with that? Well,

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you've got to understand that if you
want to identify a co variant, because

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really what we're talking about is something
that represents something else, right, Like

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we have a fingerprint. A fingerprint
is not a human being, but it's

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a part of a human being.
And we know if we see a fingerprint,

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a human being has been there.
But we can identify the human being

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unless we already analyze their fingerprint and
have something to match it to. So

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the PCR test, now it's not
really it's not really a test per se.

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It's actually a manufacturing technology because it
takes some starting material real and makes

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more of that. It replicates it, right, makes copies of it,

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so there's more more quantity of that
stuff, and that's really what it does.

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But it can only make these quantities
of something that's a small piece of

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something, and that piece of something
would be a piece of genetic material,

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right that is broken off a larger
piece. So in order to say that

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if we find this piece of genetic
material, First we have to say,

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all right, we've identified the organism, and we've we've characterized all the genetic

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material in this organism, and we've
compared it with all the genetic material of

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other organisms, and we know this
piece here is unique. It doesn't occur

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in any other part of nature,
and it's only coin and we know that

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it comes from this particular organism.
Right, we can We can do this

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for humans or other organisms that we've
mapped their entire genome by like taking a

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cell from a human body, mapping
out, you know, every sequence of

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DNA in the nucleus and the mitochondria, and then you know, putting those

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all in a database, and that
that's been done. Took a long time,

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but it's been done. So if
you were to develop a genetic test

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for a piece of the genetic material
of a virus, first you'd have to

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discover the virus. You'd have to
extract the genetic material from it and sequence

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it in its entirety, then compare
it to all the other known sequences and

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pick out a fragment of it that's
unique, and then you could develop a

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test, and then you'd have to
validate it by comparing it to you know,

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so in other words, you would
have let's say a hundred people that

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were sick, and you would demonstrate
the virus in those people through being able

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to purify it out and visualize it
from those people. Then you would know,

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out of the hundred people, how
many have the virus and don't.

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And then you would do this you
know, proposed test for this gymenetic fragment,

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and you would get the results and
see how many times you found the

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unique fragment, and you would compare
it to the people that actually whether they

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had the actual virus or not in
their body, and if it matched up

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one hundred percent of the time,
it would be an amazing test with a

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zero you know error rate. But
in reality, there are no tests which

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are that good. And you know, like for example, if you were

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going to validate a pregnancy test,
you would you know, do the test

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and then you'd wait nine months and
see if a baby came out and if

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your tests showed the presence of something
and a baby came out at the and

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you'd know it was good, right, and you could you could even do

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this for fun with a pendulum,
like you know, if the pendulum swings,

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you know, side to side or
up and down. It could predict

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pregnancy, and you could test it
by just waiting nine months and see if

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it's accurate, and that's called validation. And it's never been done with the

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PCR test for this alleged virus or
for any other alleged virus. So there's

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even if it was a good test
in detecting this particular genetic fragment, there's

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no way to know if this genetic
fragment actually came from a virus or not.

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We don't know the origin of it. It's they've never taken this virus

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and pulled the genetic material out of
it to determine what sequences are in it,

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because they've never actually found the particle. Now there are pictures where they

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point to something and say that's the
particle, but they don't do any experiment

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or test to demonstrate that that particle
has any of the properties of a virus.

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So we saw this. Faucci's first
PCR game was still when Kerry was

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still alive. Kerry Mousis is still
alive, and he said, you can't

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prove that there's that HIV is the
cause of age using my test, and

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he had this fight with him all
that time. But of course just before

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this thing rolled out he died.
Kerry Mollis died a few months before Faucci

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rolled this stuff out. I've always
found that fascinating, the fact that even

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though he was the one who invented
it, and even though he won a

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Nobel Prize for it, he could
not ever get and tried it over and

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over again to set up something where
he was going to debate Faucci. Facci

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was always able to avoid that,
always able to keep the spotlight on himself

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and never have to explain what the
person who vented the test said was a

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misuse of his test. Yeah.
Well, there's no reason for Fauci would

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have nothing to gain, would have
had nothing to gain from fading Kerry Mollis,

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because he knew that he was,
you know, exploiting this technology for

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commercial gain. Yes, that's right. It's always a key when somebody doesn't

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want to show you their data and
they don't want to have a debate,

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it always tells you something about their
confidence level of what they're telling everybody.

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But the guy was an amazing is
even still as he's still doing it,

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an amazing con man. And so
we have this PCR test. As you

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point out, we don't really know
when they're testing for something we don't really

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know, Well, is that connected
to what we're seeing here? Right?

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Is that that's so they're magnifying this
with their cycle threshold of forty, they're

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magnifying it over a trillion times.
But what are they even looking for?

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Is there any connection between what they're
looking for and a disease? There's shutting

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people down who have no symptoms,
right, Yeah, you're right, they've

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never established a connection. In fact, the CDC described how they validated the

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PCR test, and what they did
is they made a synthetic strand of genetic

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material that matched the one that the
test was designed for, and they made

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up solutions of different concentrations and they
and they put it through the PCR.

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So all they showed was that you
can use this test and amplify a man

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made piece of genetic material. Had
nothing to do with a virus or any

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sick patients at all. They weren't
even part of the experiment. But the

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reason I think that PCR is the
preferred choice for these tests is, you

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know, one because it can be
very simply modified to any sequence. So

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it's already there. It's already a
protocol and a machine. Even have machines

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that have automated protocols that run this. You put the sample and add the

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ingredients, and it does everything if
you program it correctly, so it takes

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you could All you do is put
in a different sequence and make a different

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primer, and then you can adapt
it to any sequence that you say is

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from anything with no R and D
needed. So it's very convenient. And

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then the other thing is that there
are many parameters that you can adjust to

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a PCR protocol to change the percent
of results that are positive or negative.

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So if you want to tweak the
parameters such that eighty percent of samples comeback

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positive, you can do that.
If you want to make it ten percent,

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you can do that. So,
in other words, by manipulating it,

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you could give the appearance that there
was a surge of cases or that

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there was an improvement in the number
of cases. When you say tweaking it

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is that's something that's different from the
cycle threshold, how many times they go

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through and double. Well, the
cycle threshold is only one way that you

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can manipulate the outcomes, So you
certainly that is a very potent way,

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because each time you do one cycle
means that you're making one copy of your

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starting sample. So if you start
out with just one copy of this specific

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genetic sequence, after doing one cycle, you'll end up with two copies,

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and after the second cycle you'll go
from two to four. So each time

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it doubles. Now each time that
you double, there are errors that occur,

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so it doesn't copy each piece perfectly. It copies it perfectly some of

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the time and then also makes some
errors where so, like think about it,

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if you were doing this with rewriting
a sentence. Someone originally wrote the

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sentence, and then you have to
copy the sentence a hundred times. One

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of those times you might substitute an
E for an A in there, and

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then that error might get perpetuated because
if you copy that E correctly, it's

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still a mistake from the original,
right, it didn't exist in the original.

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And that's what happens as you do
more and more copies, and the

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cycle threshold is generally the guidelines say
it should be under twenty. So under

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twenty doublings to get accurate results without
introducing so much error that you could essentially

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get anything in your final sample,
because the mistakes multiply and add up over

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time, Like you get a mistake
here, then there's a mistake and the

305
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mistake, and a mistake and the
mistake and this mistake, and you get

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something that is totally different. It
was never in your sample to start with.

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So that's one way you can fudge
the results. The other way is

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that you set an arbitrary threshold of
how much UH material you made that you

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call positive. So in other words, there could be ten pcograms of it

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in your cycle forty uh you know, fortieth cycle and you call that's a

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positive, or it could be one
hundred pikeograms that you call positive. And

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it's totally arbitrary where you set that
threshold of positive and negative. It's not

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like an on off switch. It's
more it's like a dial and you just

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pick a point in the dial that's
positive and negative. It's kind of like

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asking the question, you know,
at what temperature is does it go from

316
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cold to hot? Right? There's
you can you can make one up,

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but there's no real answer, and
so that changes it. And then the

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other thing is that you typically dilute
your sample before you put it into the

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PCR machine. So depending on how
much you dilute your sample. If you

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dilute it more, then they'll be
less in the final results and more likely

321
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a negative result. And if you
dilute it less, there'll be more in

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your starting sample and more likely a
positive result. So by adjusting those parameters,

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you could easily change the number of
positive results you get when you apply

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it to a population of samples.
Wow. And so you know they've got

325
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a model and an abstraction, and
then they level. You know, you

326
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look at the PCR test in all
the different ways that you can define what

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you're looking for and how much you
can magnify it in the errors that are

328
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induced into that, and then they
come up with a variance. Now,

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00:28:48.599 --> 00:28:52.799
since we don't have anything that's tied
to something that is absolutely real, it's

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kind of an abstraction of model,
as you point out, as a digital

331
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simulation. What is any of this
model, this, any of this very

332
00:29:00.200 --> 00:29:07.319
stuff? Me right, Well,
now this gets into the whole area of

333
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the genome sequencing. And now you
know, earlier I kind of described how

334
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we got the human genome, right
that we took the genetic material, the

335
00:29:17.519 --> 00:29:21.759
DNA out of human cells, out
of their nuclei and mitochondria, and then

336
00:29:22.000 --> 00:29:26.759
we we sequenced that genetic material,
and that genetic material only, right,

337
00:29:26.759 --> 00:29:33.880
we started with just human cells.
Now, since they've never actually found a

338
00:29:33.000 --> 00:29:38.480
virus or separated it and purified it, so you just have a test tube

339
00:29:38.519 --> 00:29:44.279
with only virus particles, they were
never able to take the genetic material out

340
00:29:44.279 --> 00:29:49.240
of it. So what they do
is they take the tissue or the fluid

341
00:29:49.920 --> 00:29:56.559
from a sick person, and they
generally like so with COVID. For example,

342
00:29:56.480 --> 00:30:03.160
the Stars, the alleged Stars Kobe
two virus, they did this with

343
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just one single patient, and of
course they said that they had the virus

344
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because of a PCR test which was
developed without ever finding the virus in the

345
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first place. So it's sort of
it's a circular reasoning, right, why

346
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as the virus is in there,
Well, we assume the virus is in

347
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there. We assume that if the
virus is in there, the PCR will

348
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be positive. So we do the
PCR and it's positive. So that means

349
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the virus is in there, even
though we never demonstrated it, right,

350
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And then that means that the genetic
material from the virus is also in there,

351
00:30:40.680 --> 00:30:45.359
and so what they do is they
take that fluid and they pull out

352
00:30:45.160 --> 00:30:51.640
every fragment of genetic material that's in
there. But they don't know where any

353
00:30:51.680 --> 00:30:55.279
of those fragments are from. Like
they assume that some of them are from

354
00:30:55.279 --> 00:30:59.960
a virus. They know that some
of them must be from the human,

355
00:31:00.440 --> 00:31:04.160
but they don't know where else they
might come from. Because you know,

356
00:31:04.200 --> 00:31:11.720
we have bacteria in us, we
have fungi, we have parasites. Even

357
00:31:11.759 --> 00:31:15.599
if just if we breathe in the
air, there's genetic material in the air,

358
00:31:17.480 --> 00:31:19.440
and so like if you take fluid
of the lungs, whatever you just

359
00:31:19.480 --> 00:31:22.960
breathe in in the last half hour
is going to be in that sample.

360
00:31:25.640 --> 00:31:32.240
So they have this mixture of unknown
material and they're all little fragments. And

361
00:31:32.440 --> 00:31:37.799
you know, little fragments are redundant
because there's only four letters, right,

362
00:31:37.839 --> 00:31:41.000
So there's only so many ten letter
words you can make with four letters,

363
00:31:41.599 --> 00:31:45.200
and so when you have small fragments, they're present everywhere in nature, like

364
00:31:45.279 --> 00:31:49.960
every organism has it because you know, you've got trillions or quadrillions of these

365
00:31:51.039 --> 00:31:56.920
letters in your vocabulary. So they
make every ten letter word there is in

366
00:31:56.000 --> 00:32:00.559
there, right, So they're not
not specific, but a sequence all these

367
00:32:00.599 --> 00:32:05.599
little fragments, and then this is
where the computer simulation comes in. They

368
00:32:05.680 --> 00:32:12.799
put in all that data into the
computer and the computer tries to out of

369
00:32:12.880 --> 00:32:17.720
nothing, put together a genome that
is from this virus that they've never shown

370
00:32:17.759 --> 00:32:23.799
to be in the experiment, and
it comes up with like a million solutions.

371
00:32:23.799 --> 00:32:29.319
In fact, for the stars Kobe
two experiment, they actually used two

372
00:32:29.359 --> 00:32:34.319
separate computer programs because they couldn't trust
that one would give them the answer they

373
00:32:34.359 --> 00:32:39.079
wanted. And between those two programs
there were over a million results of possible

374
00:32:39.279 --> 00:32:49.880
theoretical computer simulation genomes in that sample. And they basically also had an assumption

375
00:32:49.960 --> 00:32:54.559
that the length of the genome would
be around either twenty or thirty thousand bases

376
00:32:54.599 --> 00:33:00.599
long. So out of the million
solutions, there was some solutions that were

377
00:33:00.640 --> 00:33:05.119
around that length, and they just
picked the longest one of those. I

378
00:33:05.160 --> 00:33:09.680
thought the epidemiological models were bad enough. This is way way beyond all the

379
00:33:09.680 --> 00:33:13.640
stuff that's done by the Imperial College
of London. It truly is amazing.

380
00:33:14.640 --> 00:33:17.839
So it really is really is amazing. And the thing is that so few

381
00:33:17.839 --> 00:33:22.359
people can read these papers and understand
what they're doing, or take the time

382
00:33:22.400 --> 00:33:27.079
to read them that you know,
no one knows they're doing this little magic

383
00:33:27.119 --> 00:33:32.920
trick where they're giving you a computer
generated result, not something that's in nature.

384
00:33:35.440 --> 00:33:40.039
And so then they have an even
better trick. So once they basically

385
00:33:40.400 --> 00:33:45.359
publish that and said boom, this
is the genome of SARS Kobe two and

386
00:33:45.400 --> 00:33:50.240
they entered it in the database that
anyone can look at in the world.

387
00:33:51.359 --> 00:33:58.279
Then the companies that make the technology
that does this kind of sequencing it's called

388
00:33:58.319 --> 00:34:02.559
next generation sequencing, and it's a
you know, very big business. They

389
00:34:02.759 --> 00:34:10.920
developed a protocol using PCR where you
could essentially, you know, apply the

390
00:34:10.960 --> 00:34:17.280
template of that genome and find it
in any other sample. So it's kind

391
00:34:17.280 --> 00:34:22.719
of like a rigged game because the
PCR primers make up more than half of

392
00:34:22.760 --> 00:34:29.000
the entire genome and and what and
then they do that, and it's like

393
00:34:29.039 --> 00:34:32.000
a recipe that labs around the world
can just follow this procedure, you know,

394
00:34:32.079 --> 00:34:36.480
step one, step two, step
three, and at the end they

395
00:34:36.519 --> 00:34:40.440
get this result. And then the
result is supposed to be represent the genome

396
00:34:40.480 --> 00:34:46.119
of the virus in their patient sample. And the thing is they could never

397
00:34:46.960 --> 00:34:52.039
replicate the exact finding. So every
time they did this they didn't get the

398
00:34:52.119 --> 00:34:57.039
same exact genome that they found in
the first experiment because it wasn't real,

399
00:34:57.800 --> 00:35:01.480
so they couldn't get the same results
from from repeating the experiment. In fact,

400
00:35:01.519 --> 00:35:07.920
that's one of the scientific principles that
invalidates the results. If you can't

401
00:35:07.960 --> 00:35:13.079
repeat the experiment and get the same
results, then the original experiment is flawed.

402
00:35:13.400 --> 00:35:17.519
Yeah, but instead of interpreting it
the scientific way like that, they

403
00:35:19.320 --> 00:35:23.599
make up the story that the virus
mutated and our results are close but not

404
00:35:23.719 --> 00:35:30.119
exactly the same. So we have
a genetic mutated version of the virus,

405
00:35:30.159 --> 00:35:35.119
and we'll call that a variant.
Wow. Wow, And how many variants

406
00:35:35.119 --> 00:35:42.719
have they invented here? There have
been millions, millions that they've invented by

407
00:35:42.719 --> 00:35:45.199
this. And then you know,
the Public Health Agency is like the CDC.

408
00:35:46.960 --> 00:35:55.079
They then make a classification of these
variants as being you know, dangerous

409
00:35:55.239 --> 00:36:01.400
or threatening or not. And the
way they do this is even more ridiculous

410
00:36:01.480 --> 00:36:10.440
because they take these computer simulated sequences
and for like the spike protein gene,

411
00:36:10.519 --> 00:36:15.039
for example, the S gene,
because they say that part of this sequence

412
00:36:15.719 --> 00:36:19.719
makes the spike protein, which has
also never been shown to come from nature.

413
00:36:20.840 --> 00:36:25.199
And then they make a synthetic sequence
of the spike protein gene that they

414
00:36:25.239 --> 00:36:31.840
say is from this new variant,
and they transsect it into a bacterial cell

415
00:36:31.920 --> 00:36:39.239
culture, and so the bacterial cells
make this gene for the spike protein,

416
00:36:39.360 --> 00:36:47.559
supposedly, and then they add antibodies
to the petri dish that are supposed to

417
00:36:47.599 --> 00:36:52.840
be the antibodies that protect us from
the infection, but there's never been any

418
00:36:52.280 --> 00:36:59.719
studies that prove that. And based
on how the antibodies bind with the bacteria,

419
00:37:00.639 --> 00:37:05.559
they make a judgment of how dangerous
this virus is. Wow. So

420
00:37:05.639 --> 00:37:09.119
they don't like follow the people who
had this sequence in their sample and say

421
00:37:09.159 --> 00:37:15.280
how do they do? Yeah,
exactly, They do this once again,

422
00:37:15.320 --> 00:37:22.239
another laboratory simulation in vitro, without
anything resembling nature in the experiment. But

423
00:37:22.360 --> 00:37:30.199
then they draw conclusions and then they
make policy based on those experiments. Wow.

424
00:37:30.480 --> 00:37:35.360
And so we have their existing vaccines
which we don't see anybody getting any

425
00:37:35.360 --> 00:37:38.119
better from, and you still have
people who are testing positive for Let me

426
00:37:38.159 --> 00:37:44.480
ask you this, I've always wondered
if since they're coming up with a sequence

427
00:37:44.519 --> 00:37:46.880
and telling people this is what you're
going to test for, and then saying

428
00:37:46.920 --> 00:37:52.920
you know that there's you know,
we're going to create this sequences as part

429
00:37:52.920 --> 00:37:54.519
of our vaccine. I think we're
going to get your body to create this.

430
00:37:55.039 --> 00:38:00.519
Are they also injecting what they're looking
for to some degree? The other

431
00:38:00.920 --> 00:38:06.159
is that something else is another factor
here besides all the magnification and all the

432
00:38:06.199 --> 00:38:08.519
rest of the things that they can
do. Are they actually what they're injecting

433
00:38:08.559 --> 00:38:12.920
people with. Is that another piece
of circular logic that they're going to inject

434
00:38:12.960 --> 00:38:15.519
you with, something that they're going
to look at to see if they can

435
00:38:15.559 --> 00:38:21.840
find that. Well, there are
many logical errors in the approach with these

436
00:38:22.119 --> 00:38:29.159
alleged vaccines. And you know,
obviously, if you haven't proven that there's

437
00:38:29.199 --> 00:38:35.119
a microorganism causing the disease, if
you develop a therapeutic based on getting rid

438
00:38:35.159 --> 00:38:38.400
of a microorganism, it couldn't possibly
be successful. Like, in order to

439
00:38:38.920 --> 00:38:45.000
develop a way to help address a
problem, you have to know what's causing

440
00:38:45.039 --> 00:38:51.599
the problem, right, So there's
no way a vaccine could be useful.

441
00:38:52.519 --> 00:38:59.320
And also because these vaccines were allowed
to be sold, right, they were

442
00:38:59.360 --> 00:39:05.039
never a proved or at least they
only until after the pandemic. They some

443
00:39:05.119 --> 00:39:08.880
of them might have gotten approval from
an official government body, but they were

444
00:39:08.920 --> 00:39:15.800
allowed to be sold under an emergency
exception right right. EUA is what it's

445
00:39:15.840 --> 00:39:20.599
called Emergency Use Authorization in the United
States. It has different names in other

446
00:39:20.719 --> 00:39:22.639
countries, but that's all over the
world. That's the only way it could

447
00:39:22.679 --> 00:39:29.519
be used, and that allows the
manufacturer to change the ingredients and to not

448
00:39:29.639 --> 00:39:35.079
disclose things because it's a work in
progress and it's like the emergency is so

449
00:39:35.239 --> 00:39:39.639
dire that we will take the risk, right That's what it states in the

450
00:39:39.719 --> 00:39:50.199
law. Essentially, so they didn't
test properly to even know what exactly these

451
00:39:50.239 --> 00:39:53.400
shots do to people, right Like, they didn't even test to say,

452
00:39:53.440 --> 00:39:57.840
well, if we give it to
people, can we detect this spike protein

453
00:39:57.880 --> 00:40:00.960
in their body? They didn't do
that research. There have been a couple

454
00:40:00.960 --> 00:40:05.920
of small studies that independent researchers have
tried to look at that after the fact.

455
00:40:06.599 --> 00:40:09.880
But the manufacturer like, that's the
most basic thing. You know,

456
00:40:09.920 --> 00:40:15.079
you design this thing, it's supposed
to make a protein and the recipient and

457
00:40:15.119 --> 00:40:21.000
then you never test for that protein
and the recipient. I know they have.

458
00:40:21.559 --> 00:40:24.000
We've had some information come out.
Would you agree with it or not?

459
00:40:25.239 --> 00:40:30.480
That in some of the animal tests
they found concentration of the spike proteins

460
00:40:30.679 --> 00:40:37.360
and ovaries and in the spleen.
Would you disagree with that that they did

461
00:40:37.440 --> 00:40:40.519
not find the spike protein. Yeah, well those those were not spike proteins,

462
00:40:40.679 --> 00:40:45.159
those were the lipid nano particles.
So they did what they call,

463
00:40:45.480 --> 00:40:52.320
you know, pharmacokinetic studies, which
is you know, required for any pharmaceutical

464
00:40:52.360 --> 00:40:57.440
and that's basically, what does your
body do to this drug or substance when

465
00:40:57.440 --> 00:41:00.440
you put it in there? Right? Does it stay around sound in the

466
00:41:00.440 --> 00:41:02.480
body? Does it go in the
urine, does it go in the stool,

467
00:41:04.039 --> 00:41:08.280
does the liver processes? Those kind
of questions. So I believe it

468
00:41:08.360 --> 00:41:17.280
was. Fizer released a document in
Japan that described the pharmacokinetic studies of the

469
00:41:17.320 --> 00:41:23.280
lipid nanoparticles. Now that's the little
containers that allegedly contain the mRNA okay,

470
00:41:23.960 --> 00:41:31.519
and those lipid nanoparticles were shown to
distribute to all locations in the body,

471
00:41:31.559 --> 00:41:36.000
but they were highly concentrated, as
you pointed out, in the genital,

472
00:41:36.239 --> 00:41:39.760
the genital regions, especially the women
female genitals like the uterus, the ovaries,

473
00:41:40.480 --> 00:41:46.199
and also in the brain tissue and
in several other organs, so that

474
00:41:46.199 --> 00:41:52.719
that was found. So if there
was actually mRNA that could cause your cells

475
00:41:52.719 --> 00:41:55.760
to make spike protein, it would
be delivered to all those locations in your

476
00:41:55.760 --> 00:42:00.800
body. But they did not do
experiments where they you know, they measured

477
00:42:01.079 --> 00:42:06.480
spike protein in those organs. But
I'm aware of I see. Okay,

478
00:42:06.519 --> 00:42:09.599
well that's interesting because that's I've seen
it reported that way. But they're looking

479
00:42:09.639 --> 00:42:14.719
at the lipid nanoparticles. And what
do we know about the lipid nanoparticles and

480
00:42:14.760 --> 00:42:17.960
their health effects? Well, we
know they're they're fairly toxic. There are

481
00:42:19.039 --> 00:42:23.199
toxicology studies looking at these things.
And they could also be called hydrogels,

482
00:42:23.320 --> 00:42:29.239
by the way, that's a different
technological name for them. But yeah,

483
00:42:29.239 --> 00:42:34.519
these things are definitely not good for
us. But you know, we don't

484
00:42:34.599 --> 00:42:39.920
know the each version of it is
slightly different. It's a proprietary chemical,

485
00:42:40.440 --> 00:42:46.800
so you know, the version of
it that's in the current vaccines, you

486
00:42:46.800 --> 00:42:51.400
know that hasn't been tested directly that
I'm aware of. But in general,

487
00:42:51.480 --> 00:42:58.039
there's a significant toxo toxicity just from
these lipid nanoparticles themselves. Well, it

488
00:42:58.079 --> 00:43:00.480
certainly is amazing, and of course
we know that there's something up with this

489
00:43:00.880 --> 00:43:06.639
as you you know, when we
you see people members of the European Parliament

490
00:43:06.639 --> 00:43:09.119
and say well, we want to
see the contract and other things like this,

491
00:43:09.159 --> 00:43:14.320
and they get nothing but redacted documents. Back, we know that Fizer

492
00:43:14.679 --> 00:43:20.559
was leaning on various countries who have
gone public with the fact that they wanted

493
00:43:20.840 --> 00:43:25.559
additional protection over and above of what
they would have normally had with an emergency

494
00:43:25.920 --> 00:43:31.440
experimental vaccine. They wanted protection about
negligence and manufacturing and all the rest of

495
00:43:31.440 --> 00:43:35.760
the stuff. And they even wanted
to have assets that were outside of that

496
00:43:35.880 --> 00:43:37.840
country that they would be able to
get to. So there's this all these

497
00:43:37.880 --> 00:43:42.679
different smoking guns. But that's a
whole nother level. And of course what

498
00:43:42.719 --> 00:43:49.719
you're talking about here also gets back
to the baseline understanding of what is a

499
00:43:49.800 --> 00:43:53.960
virus and what is a vaccine,
And these are abstractions. I've had a

500
00:43:54.000 --> 00:43:59.519
lot of people who have sent me
information in the past. I've never gotten

501
00:43:59.559 --> 00:44:01.480
into it much. I just looked
at it's like, yo, that that

502
00:44:01.519 --> 00:44:06.719
may not actually be an accurate model. And certainly from the way that you're

503
00:44:06.760 --> 00:44:13.400
describing it, it looks like an
endless loop of circular logic that is just

504
00:44:13.480 --> 00:44:15.239
going around and round again. And
what comes out of the end of that

505
00:44:15.360 --> 00:44:19.039
is a big pile of money,
I guess is what we get out of

506
00:44:19.079 --> 00:44:24.360
that circular logic. I mean,
even before COVID vaccines were you know,

507
00:44:24.440 --> 00:44:30.000
a multi billion dollar industry in the
United States, I mean really second to

508
00:44:30.880 --> 00:44:37.320
cancer treatment. But the COVID vaccines
were the best selling drugs ever in the

509
00:44:37.360 --> 00:44:42.960
history of the pharmaceutical industry. So
this was a huge windfall. And all

510
00:44:43.000 --> 00:44:49.000
the companies that made testing kits as
well, huge huge windfall. Even you

511
00:44:49.000 --> 00:44:52.599
know, people even made money all
sorts of ways. They bought you know,

512
00:44:52.239 --> 00:44:59.280
cheap masks and other ppe from China
and resold it, you know,

513
00:44:59.599 --> 00:45:04.519
double and tripling the price. It
was a real boon for anyone who wanted

514
00:45:04.559 --> 00:45:10.440
to uh, you know, corrupt
themselves and join on the medical bandwagon of

515
00:45:10.840 --> 00:45:15.280
you know, medical fraud to bring
that about. So it's you know,

516
00:45:15.880 --> 00:45:22.800
this is not going to stop because
these profits, right uh are too sweet

517
00:45:23.000 --> 00:45:29.000
to pass up for that industry.
And I'm sure you know what you were

518
00:45:29.039 --> 00:45:34.639
talking about with contracts and such.
You know, all the governments entered into

519
00:45:34.679 --> 00:45:42.159
those contracts voluntarily, and they even
provided blanket immunity from product liability for the

520
00:45:42.199 --> 00:45:47.440
manufacturers, and you know, so
really there they are at fault just as

521
00:45:47.519 --> 00:45:55.599
much, you know, as the
drug companies for perpetrating this poison injections upon

522
00:45:55.719 --> 00:46:00.880
us and cause all of the morbidity
and more reality that resulted. And you

523
00:46:00.920 --> 00:46:10.320
know, the vaccine industry recognized decades
ago that their products were toxic and because

524
00:46:10.360 --> 00:46:16.599
they were getting sued and they were
getting sued and losing so much, that

525
00:46:17.280 --> 00:46:22.960
vaccines were not profitable. And so
they basically told the government, they gave

526
00:46:22.000 --> 00:46:27.079
them an ultimatum. They said,
if you want us to keep making vaccines,

527
00:46:27.280 --> 00:46:32.000
you have to take away our liability. And it's unprecedented. There's no

528
00:46:32.079 --> 00:46:38.039
other a product manufacturer that is free
from product liability. You know, if

529
00:46:38.360 --> 00:46:45.239
I manufacture a gas fireplace and it
explodes and kills you and your family,

530
00:46:45.360 --> 00:46:51.119
like I have to pay. But
if I manufacture a vaccine and it kills

531
00:46:51.119 --> 00:46:54.280
you and your family, I just
keep selling it to more people. And

532
00:46:54.840 --> 00:47:00.199
you know that that's what has resulted. And of course they find more and

533
00:47:00.280 --> 00:47:05.280
more profitable ways over time, and
they keep expanding the number of vaccines,

534
00:47:05.400 --> 00:47:12.480
the vaccine recommendations in their government partnerships, etc. Etc. And even if

535
00:47:12.519 --> 00:47:17.239
you don't want to question the validity
of germ theory as a cause of disease,

536
00:47:17.719 --> 00:47:25.760
which is clearly not scientifically proven.
You can just look at the actual

537
00:47:25.880 --> 00:47:30.679
data. So, for example,
for every illness that was said to have

538
00:47:30.800 --> 00:47:35.960
disappeared because of vaccines, if you
go and look at the number of cases

539
00:47:36.559 --> 00:47:40.400
year by year and look out when
the vaccine was first invented and when people

540
00:47:40.480 --> 00:47:46.280
actually took the vaccine, you'll see
that the disease went away first and then

541
00:47:46.320 --> 00:47:53.119
the vaccine came. And that's in
every situation that there's data available for.

542
00:47:53.239 --> 00:47:57.960
You can find that. And of
course also the way that they test and

543
00:47:58.000 --> 00:48:01.880
approve new vaccines is not the way
you would think at all. So for

544
00:48:01.920 --> 00:48:07.719
example, if I was gonna if
I invented a new measles vaccine and needed

545
00:48:07.840 --> 00:48:10.599
and wanted to get approval for it, you would think that I would have

546
00:48:10.679 --> 00:48:15.920
to give it to like a thousand
kids, and then have a thousand kids

547
00:48:15.960 --> 00:48:19.519
I don't give it to, and
follow all of them, you know,

548
00:48:19.599 --> 00:48:22.800
through age ten, and see how
many get measles in the group that got

549
00:48:22.840 --> 00:48:25.920
the shot, and how many got
measles in the group that didn't, and

550
00:48:25.960 --> 00:48:31.239
then compare it and see if it
really prevented measles. But those experiments have

551
00:48:31.559 --> 00:48:36.639
never ever been done with any vaccine. Wow, and that's what we've been

552
00:48:36.679 --> 00:48:38.360
told that they used to do.
That they used to have, you know,

553
00:48:38.519 --> 00:48:40.519
and I've talked about this. I
said, look at what they used

554
00:48:40.519 --> 00:48:44.039
to do, and FACCI said,
yeah, we're going to get rid of

555
00:48:44.119 --> 00:48:47.000
this decade long protocol. You know. They would have their phase one,

556
00:48:47.159 --> 00:48:52.679
which they would have a small group
of volunteers and they would look for toxicity,

557
00:48:52.719 --> 00:48:55.000
they would say, and then they
would expand it to phase two and

558
00:48:55.000 --> 00:49:00.000
they would have people who, you
know, if it was a therapeutic,

559
00:49:00.159 --> 00:49:02.079
somebody who actually has a condition,
so that see if it worked, and

560
00:49:02.119 --> 00:49:06.719
then expand it in phase three.
But for vaccines, they would give it

561
00:49:06.760 --> 00:49:08.599
to a bunch of people in phase
two and then let them circulate around for

562
00:49:08.639 --> 00:49:13.320
a long period of time and say, well, how many people came down

563
00:49:13.360 --> 00:49:17.559
with the disease that we're vaccinating for
and our control group that wasn't vaccinated or

564
00:49:17.559 --> 00:49:22.639
had a placebo versus the other one. And then with phase three they would

565
00:49:22.679 --> 00:49:24.239
expand it. That's what we were
always told, and that would be a

566
00:49:24.239 --> 00:49:29.239
ten year protocol. So that's not
what they were doing. Then right,

567
00:49:29.480 --> 00:49:31.679
that's not what they do. So
they still have the same you know,

568
00:49:31.800 --> 00:49:37.000
process, but the experiment they did
was not looking to see if the disease

569
00:49:37.039 --> 00:49:39.360
developed. And you know, if
you were going to do that, you'd

570
00:49:39.360 --> 00:49:45.719
have to conduct the trial for a
substantial length of time, right, because

571
00:49:45.800 --> 00:49:51.199
the many of those illnesses that the
incidents is very low. You might even

572
00:49:51.199 --> 00:49:53.760
need a very large group of people
to test it in. But what they

573
00:49:53.800 --> 00:50:01.360
do is is that they give it
to experimental subject and then a week later

574
00:50:01.639 --> 00:50:08.239
or two weeks later, they test
their blood for antibodies, and if they

575
00:50:08.280 --> 00:50:15.599
have you know, the antibodies that
they designate as meaning immunity from that disease,

576
00:50:16.360 --> 00:50:21.559
they say the vaccine is good.
Yeah. The only problem is is

577
00:50:21.599 --> 00:50:28.960
that they've never demonstrated that those antibodies
actually mean anything. They're only theoretical.

578
00:50:29.360 --> 00:50:31.960
And I heard that. I remember
when Factor was talking about that and saying,

579
00:50:32.039 --> 00:50:36.000
yeah, we know this works because
we observe the antibodies with this COVID

580
00:50:36.079 --> 00:50:39.079
thing. I was under the impression
that they had always been doing it,

581
00:50:39.119 --> 00:50:42.960
you know, for ten year period
or something like that, and that they

582
00:50:43.039 --> 00:50:45.800
just cut that off and then looked
for the antibodies with this particular one.

583
00:50:45.800 --> 00:50:49.679
But you're saying they've been doing it
that way for a long time, right,

584
00:50:50.599 --> 00:50:53.559
Yeah. Yeah, I mean for
as long as I can remember,

585
00:50:53.679 --> 00:50:58.760
for as long as you know,
the oldest clinical trial I've ever seen use

586
00:50:58.880 --> 00:51:04.960
that methodology. Wow. Wow.
So we've now gotten to the point where

587
00:51:05.239 --> 00:51:08.079
they can just invent out of thin
air, not just viruses, but variants

588
00:51:08.079 --> 00:51:13.400
of viruses. Uh, they can
go in and who knows if they've they

589
00:51:13.440 --> 00:51:15.880
can say now we're going to do
an improve vaccine. We don't know if

590
00:51:15.880 --> 00:51:19.039
they've even bothered to change it,
you know, just slap a new label

591
00:51:19.039 --> 00:51:22.599
on it, like you used to
see with the you know, particular washing

592
00:51:22.639 --> 00:51:25.480
machine soap. You know it's it's
no one improved how I don't know how

593
00:51:25.480 --> 00:51:29.519
it's any different from you, but
you know it's got it's got sunlight in

594
00:51:29.599 --> 00:51:31.280
it or something solum is it.
That's one of the well they you know,

595
00:51:31.360 --> 00:51:36.840
look, they they do make new
recipes. And the reason why you

596
00:51:36.880 --> 00:51:40.960
know this is because there are different
patterns of toxicity. Yes, right,

597
00:51:42.039 --> 00:51:45.840
So I mean, for example,
with the flu vaccines, what we saw

598
00:51:46.199 --> 00:51:54.719
was mostly neurologic issues like gyan beret, which is a type of paralysis with

599
00:51:54.880 --> 00:52:02.119
hepatitis B. We've seen sudden death
and encephal phlitis with the you know,

600
00:52:02.360 --> 00:52:09.880
covid vaccines. We've seen also sudden
death, but we've also seen blood clots.

601
00:52:10.519 --> 00:52:15.800
We've also seen myocarditis, right,
and that's pretty specific, right,

602
00:52:15.880 --> 00:52:20.239
No, No other vaccines that I
know of are associated with myocarditis. And

603
00:52:20.280 --> 00:52:24.719
that's a very strong connection. And
even the mainstream admits to that. They

604
00:52:24.840 --> 00:52:29.599
downplay it a lot, but they
admit to it. And then you've also

605
00:52:29.719 --> 00:52:37.199
had neurologic conditions including seizures develop as
well as other paralytic events like Bell's palsy.

606
00:52:37.840 --> 00:52:40.920
So you know, maybe they took
some of the stuff that was in

607
00:52:40.920 --> 00:52:46.119
the flu shot which caused that neurological
toxicity. But then there clearly are novel

608
00:52:46.199 --> 00:52:51.239
patterns, so there must be you
know, different things in there that cause

609
00:52:51.360 --> 00:52:55.320
different toxicities to develop in the recipients, and that that's a clue. You

610
00:52:55.360 --> 00:53:00.360
know that they're using a unique recipe, but do and tell us what exactly

611
00:53:00.480 --> 00:53:05.639
is in it? Right, And
also we know that, so let me

612
00:53:05.679 --> 00:53:13.039
ask you have we've seen different different
pathologies from these supposedly reworked covid vaccines are

613
00:53:13.079 --> 00:53:16.280
supposed to address these different variants because
you know, like you're talking about,

614
00:53:16.360 --> 00:53:23.519
we had different neurological diseases. I
remember pandemics that Fauci and Slowe did and

615
00:53:23.559 --> 00:53:30.360
they had narcolepsy and catalepsy was very
well documented in some Scandinavian countries for young

616
00:53:30.440 --> 00:53:34.440
kids. So, but have we
seen that, you know, from the

617
00:53:34.440 --> 00:53:38.239
the the injection for one variant or
the other. You know, they've now

618
00:53:38.280 --> 00:53:40.920
said, oh, we got a
new vaccine that's coming out, but that

619
00:53:40.960 --> 00:53:45.679
they've done that already, right for
the supposedly reformulated COVID vaccines, that we've

620
00:53:45.679 --> 00:53:50.280
seen different pathologies with that, right, Well, you know, it's really

621
00:53:50.280 --> 00:53:54.280
difficult to tell because a lot of
this information is suppressed. But you know,

622
00:53:54.800 --> 00:53:59.719
and I haven't looked at it,
you know this recently myself, But

623
00:54:00.119 --> 00:54:07.800
certainly one could go to the the
database you know, in your country and

624
00:54:07.519 --> 00:54:12.920
you know, look at the reports
and see, if you know, knowing

625
00:54:12.960 --> 00:54:16.039
the date when they change to a
different formulation, you know, was there

626
00:54:16.079 --> 00:54:20.440
any difference in the pattern, And
it'll it'll come out eventually if there is.

627
00:54:22.119 --> 00:54:24.159
But it is very difficult to get
the stuff out of these databases,

628
00:54:24.159 --> 00:54:27.880
out of airs and out of d
meds and allists of stuff and then they

629
00:54:27.880 --> 00:54:30.960
play games and let me ask you
this. Well, we're talking about the

630
00:54:30.000 --> 00:54:35.960
different labs and other things like that, we're talking about this abstraction. One

631
00:54:35.960 --> 00:54:39.159
of the things that things that's been
a real stickler with me. I hate

632
00:54:39.199 --> 00:54:44.320
to see the people who are going
back and making a big issue out of

633
00:54:44.320 --> 00:54:47.719
the Wuhand lab. I see that
as misdirection. How do you see that

634
00:54:47.800 --> 00:54:53.599
as people talking about the Wuhand lab
and focusing on that and focusing on China.

635
00:54:53.599 --> 00:54:58.159
Do you see that as a misdirection? Yeah? Absolutely, I mean,

636
00:54:58.599 --> 00:55:00.239
you know, I don't mean to
deny that. Uh. You know,

637
00:55:00.400 --> 00:55:05.320
there are government scientists who are doing
all sorts of unscrupulous things. I'm

638
00:55:05.320 --> 00:55:07.559
not sure that happens all the time. Yeah, And we didn't have cases

639
00:55:07.599 --> 00:55:10.639
of that, especially in twenty fourteen, and they were they were doing things

640
00:55:10.679 --> 00:55:16.320
with the known pathogens that were bacteriological
and stuff and bringing them in and losing

641
00:55:16.320 --> 00:55:20.239
track of them, you know,
letting them escape the lab and so well,

642
00:55:20.280 --> 00:55:22.079
we did have a history of that, but with this particular thing with

643
00:55:22.119 --> 00:55:27.679
a Wuhan lab and with COVID specifically, and now you've got so many people

644
00:55:27.719 --> 00:55:30.880
who are now making that the focus
rather than the vaccine, and that's the

645
00:55:30.920 --> 00:55:36.360
thing that really bothers me. Yeah, well, I agree, because there's

646
00:55:36.400 --> 00:55:39.119
simply no evidence to support it,
and you know, the only credible evidence

647
00:55:39.199 --> 00:55:45.039
of something like that would be evidence
that it they're actually affected people in the

648
00:55:45.039 --> 00:55:49.440
world, you know, But where
where is the experiment showing that there's some

649
00:55:49.599 --> 00:55:52.719
manufactured, you know, bioweapon.
You know. The other thing that's really

650
00:55:52.760 --> 00:55:59.559
important about this is that you know, because if you if you drill down

651
00:55:59.639 --> 00:56:04.400
and at the evidence, you'll see
that, you know, disease causing viruses

652
00:56:04.440 --> 00:56:07.719
don't exist in nature. So if
they don't exist in nature, then how

653
00:56:07.760 --> 00:56:14.920
can you make a synthetic version of
one, right? You can't right that,

654
00:56:15.199 --> 00:56:21.679
so you'd have to basically have a
completely novel technology. And you know,

655
00:56:22.480 --> 00:56:25.440
in addition, there's no natural model
for contagion. Like we all grow

656
00:56:25.519 --> 00:56:30.800
up and we're told that diseases are
contagious and it can pass from person to

657
00:56:30.880 --> 00:56:37.800
person. But that's been tested many, many times in very well done scientific

658
00:56:37.880 --> 00:56:44.239
experiments with control groups and everything,
and they've never ever demonstrated even a single

659
00:56:44.320 --> 00:56:49.679
case where a disease was transmitted from
one person to another. So if there's

660
00:56:49.719 --> 00:56:52.559
no model for that in nature,
then you can't, you know, how

661
00:56:52.559 --> 00:56:58.880
do you make a technology do that? It's very very challenging, Like,

662
00:56:58.920 --> 00:57:01.079
you know, I spend some time
thinking about this, and the only thing

663
00:57:01.119 --> 00:57:07.199
I could come up with would be
making some kind of like robotic devices or

664
00:57:07.320 --> 00:57:12.840
nanobots that you know, could go
and inject things into you or get things

665
00:57:12.920 --> 00:57:16.000
in your body in some other way. But I don't see how you could

666
00:57:16.039 --> 00:57:21.400
make it spread from person to person. Yeah, it is amazing to see

667
00:57:21.480 --> 00:57:24.880
all the different circular logic, as
you pointed out, and how this is

668
00:57:24.920 --> 00:57:30.679
a model abstraction and we seem to
be rapidly moving in that direction in so

669
00:57:30.719 --> 00:57:34.800
many different ways, whether you're talking
about this or you know, I guess

670
00:57:34.800 --> 00:57:39.519
this is kind of like the chat
GPT of medicine. All of the all

671
00:57:39.559 --> 00:57:46.719
of the climate arguments about climate catastrophe
are all also based on computer models,

672
00:57:46.719 --> 00:57:51.840
and you can go back in time
to the earlier models and then see what

673
00:57:52.159 --> 00:57:57.360
really happened and see how they were
totally wrong every single time. But yeah,

674
00:57:57.360 --> 00:58:00.559
and they don't have a database driven
by it. I agree, And

675
00:58:00.559 --> 00:58:04.800
they don't have a database that is
consistent and reliable for comparison of warming.

676
00:58:04.800 --> 00:58:07.800
But I remember it was just I
think it was last year. Uh,

677
00:58:07.840 --> 00:58:09.960
and it made headlines. Oh,
look, the temperature just jumped by forty

678
00:58:09.960 --> 00:58:15.000
degrees on the you know, the
Arctic and the Antarctic, and then it

679
00:58:15.039 --> 00:58:16.360
went back to normal, and people
looked at what is going on? They

680
00:58:16.360 --> 00:58:20.239
said, well, we don't actually
have any thermometers up there, We've got

681
00:58:20.239 --> 00:58:22.719
computer models, and the computer models
flaked out on us. And so that's

682
00:58:22.719 --> 00:58:28.400
a really that's really key. People
don't realize how much of what we think

683
00:58:28.519 --> 00:58:34.840
is observational science is done with computer
models and garbage and garbage out, you

684
00:58:34.880 --> 00:58:37.679
know, and and and you know
that that was one glimpse that we had

685
00:58:37.719 --> 00:58:44.840
of the climate uh panic. But
as you as your presentation points out,

686
00:58:44.880 --> 00:58:50.000
it truly is amazing what we're seeing
with all of this medical stuff, and

687
00:58:50.079 --> 00:58:52.639
very alarming because it's being used for
political purposes and to lock us down,

688
00:58:52.719 --> 00:58:57.440
as the climate climate stuff is as
well, isn't it. Well there you

689
00:58:57.480 --> 00:59:02.360
know are many So if if you're
going to truly be a scientist and investigate

690
00:59:02.440 --> 00:59:07.440
nature and try to understand how nature
works, right, and illness is part

691
00:59:07.440 --> 00:59:10.119
of nature, we can all observe
illness, right, I'm not denying that

692
00:59:10.159 --> 00:59:17.159
we get sick that's you know,
obvious. But in order to approach that,

693
00:59:17.320 --> 00:59:23.599
right, it's kind of a two
part pursuit. The first part is

694
00:59:23.599 --> 00:59:30.239
we have to come up with some
idea about how it works in the first

695
00:59:30.280 --> 00:59:35.159
part, and then the second part
is we can design a scientific experiment to

696
00:59:35.199 --> 00:59:40.639
test that idea. Right. So, but people confuse these two and they

697
00:59:40.679 --> 00:59:46.840
think the first part where you just
observe and come up with an idea about

698
00:59:46.960 --> 00:59:54.599
a hypothesis, a guess, you
know, a reasoned guess about what causes

699
00:59:54.639 --> 01:00:00.719
the phenomenon. So epidemiology, which
you mentioned earlier right now, that is

700
01:00:00.280 --> 01:00:06.719
what public health departments do, and
there are you know, academic departments at

701
01:00:06.800 --> 01:00:14.079
universities that study public health. They
apply statistics and it has the air of

702
01:00:14.119 --> 01:00:20.559
being scientific, but it's purely observation
because all they're doing is they're observing people

703
01:00:20.599 --> 01:00:24.559
and they're saying, some people are
sick, some people are healthy, some

704
01:00:24.599 --> 01:00:29.360
people die, what age do they
die? Do more people die this year

705
01:00:29.400 --> 01:00:32.199
than last year? Why is that? What's causing more people to die?

706
01:00:32.760 --> 01:00:42.599
That's epidemiology. You can't draw any
conclusions about what's causing changes in people's health

707
01:00:42.800 --> 01:00:47.360
from epidemiology at all. All you
can do is you can observe phenomenon and

708
01:00:47.440 --> 01:00:53.159
say, oh, my gosh,
in Seattle last year, twice as many

709
01:00:53.199 --> 01:00:58.960
people had lung cancer than in Detroit
last year. And you'd be like,

710
01:00:59.000 --> 01:01:04.199
oh my god, maybe there's something
in Seattle causing people to develop lung cancer.

711
01:01:04.800 --> 01:01:07.599
And then you can say, all
right, I'm gonna you know,

712
01:01:07.800 --> 01:01:10.320
I'm gonna look further at that,
and I find out that oh, more

713
01:01:10.360 --> 01:01:16.039
people smoke in Seattle than in Detroit. The there's more smog in Seattle than

714
01:01:16.079 --> 01:01:21.679
in Detroit. So I say,
oh, could these things be the reason

715
01:01:21.920 --> 01:01:27.159
why there's more lung cancer? And
then in order to determine that, I

716
01:01:27.199 --> 01:01:32.440
could go and take air samples of
the smog and expose those too, you

717
01:01:32.480 --> 01:01:40.000
know, mice in laboratory and have
another group of mice that don't get exposed,

718
01:01:40.400 --> 01:01:45.159
and say, do any of the
mice develop lung cancer? Right?

719
01:01:45.239 --> 01:01:50.039
So would you say that, then
I can know that that that those substances

720
01:01:50.119 --> 01:01:53.679
may have caused the lung cancer.
But that's a scientific experiment, right,

721
01:01:53.760 --> 01:02:01.199
and not the epidemiology. So we
confuse the observation with understanding, and a

722
01:02:01.280 --> 01:02:08.639
computer simulation is only a way of
observing and coming up with hypotheses, and

723
01:02:10.159 --> 01:02:15.719
sometimes they can be ridiculous because you
can fudge computer models to get almost any

724
01:02:15.800 --> 01:02:21.000
result that you want, but it
can be useful if you don't know where

725
01:02:21.039 --> 01:02:24.400
to go. You make a model
and you and then you come up with

726
01:02:24.440 --> 01:02:30.639
some hypotheses. Then you can do
an experiment and see if that's really true.

727
01:02:31.119 --> 01:02:37.280
But it never substitute for a real
life measurement I understand. So,

728
01:02:37.559 --> 01:02:40.280
yeah, when we see a cluster
of a particular type of disease or something

729
01:02:40.320 --> 01:02:45.480
like that, again we can identify
that, but it's another issue in terms

730
01:02:45.519 --> 01:02:52.239
of actually identifying the cause of that, and that's that's where the real the

731
01:02:52.320 --> 01:02:54.159
question comes in. Thank you so
much for joining us, sir, And

732
01:02:54.360 --> 01:02:59.440
how can people best find you?
Where can they find Yeah, please go

733
01:02:59.480 --> 01:03:02.960
to my web say at Andrew Kaufman
MD dot com. That's k a U

734
01:03:04.239 --> 01:03:09.039
F m Ann and do great access
everything there. Well, very interesting.

735
01:03:09.079 --> 01:03:14.239
Thank you so much for your research
and it's been a pleasure of having you

736
01:03:14.320 --> 01:03:16.480
on. And let me just thank
on rock Fan, thank you, Karrius

737
01:03:16.559 --> 01:03:20.559
Rex, thank you very much.
And Dystopian Distant. We will try to

738
01:03:20.559 --> 01:03:22.320
get John Rappaport on. I've had
him on before. I haven't had him

739
01:03:22.320 --> 01:03:24.559
on. Since I've had my show, we're trying to get in touch with

740
01:03:24.599 --> 01:03:39.320
him again. Thank you so much, thank you. David Nights Show is

741
01:03:39.360 --> 01:03:47.599
a critical thinking super spreader. If
you've been exposed to logic by listening to

742
01:03:47.639 --> 01:03:54.960
The David Nights Show, please do
your part and try not to spread it.

743
01:03:55.840 --> 01:04:03.880
Financial support or simply telling us there's
about the show causes this dangerous information

744
01:04:04.079 --> 01:04:11.639
to spread. Father people have to
trust me, I mean, trust the

745
01:04:12.159 --> 01:04:24.599
science. Will you ask take your
vaccine? Don't ask questions using free speech

746
01:04:24.639 --> 01:04:28.679
to free minds. It's The David
Night Show.