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so a little bit
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so a little bit
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so a little bit
of what am I doing here for those of you
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of what am I doing here for those of you
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of what am I doing here for those of you
don't don't know me um my name is Philip
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don't don't know me um my name is Philip
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don't don't know me um my name is Philip
baltz I'm a uh I have a PhD in
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baltz I'm a uh I have a PhD in
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baltz I'm a uh I have a PhD in
Biochemistry and molecular biology uh
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Biochemistry and molecular biology uh
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Biochemistry and molecular biology uh
I'm a I'm a cancer Gene jock uh
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I'm a I'm a cancer Gene jock uh
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I'm a I'm a cancer Gene jock uh
basically I do cancer genomics research
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basically I do cancer genomics research
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basically I do cancer genomics research
at the University of South Carolina and
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at the University of South Carolina and
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at the University of South Carolina and
what that means is that I'm kind of an
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what that means is that I'm kind of an
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what that means is that I'm kind of an
expert on all the ways that the human
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expert on all the ways that the human
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expert on all the ways that the human
genome can get fussed with during your
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genome can get fussed with during your
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genome can get fussed with during your
lifetime and which of those things cause
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lifetime and which of those things cause
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lifetime and which of those things cause
cancer and which one don't okay um so
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cancer and which one don't okay um so
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cancer and which one don't okay um so
technically that means that I'm very
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technically that means that I'm very
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technically that means that I'm very
very skilled in in the art of DNA
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very skilled in in the art of DNA
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very skilled in in the art of DNA
sequencing okay I can figure out the
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sequencing okay I can figure out the
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sequencing okay I can figure out the
sequence of things that I didn't know
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sequence of things that I didn't know
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sequence of things that I didn't know
what I was looking for um and I'm also
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what I was looking for um and I'm also
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what I was looking for um and I'm also
pretty good when I say I I mean the
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pretty good when I say I I mean the
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pretty good when I say I I mean the
people in my laboratory that you're not
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people in my laboratory that you're not
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people in my laboratory that you're not
going to hear their names but there's a
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going to hear their names but there's a
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going to hear their names but there's a
group of people that do this excellent
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group of people that do this excellent
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group of people that do this excellent
work um we're really good at at um
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work um we're really good at at um
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work um we're really good at at um
detecting foreign pieces of DNA in
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detecting foreign pieces of DNA in
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detecting foreign pieces of DNA in
places where they're not supposed to be
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places where they're not supposed to be
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places where they're not supposed to be
even if they're real low levels and we
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even if they're real low levels and we
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even if they're real low levels and we
used those skills during the pandemic um
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used those skills during the pandemic um
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used those skills during the pandemic um
to we invented the coid test that many
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to we invented the coid test that many
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to we invented the coid test that many
of you did a spit test okay that came
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of you did a spit test okay that came
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of you did a spit test okay that came
out of my lab because we were really
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out of my lab because we were really
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out of my lab because we were really
good at that kind of stuff and so I've
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good at that kind of stuff and so I've
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good at that kind of stuff and so I've
earned a fair amount of respect um in
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earned a fair amount of respect um in
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earned a fair amount of respect um in
the state of South Carolina and in this
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the state of South Carolina and in this
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the state of South Carolina and in this
body because we did a ton of coid
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body because we did a ton of coid
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body because we did a ton of coid
testing in the middle of the night when
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testing in the middle of the night when
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testing in the middle of the night when
people were afraid and we told them no
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people were afraid and we told them no
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people were afraid and we told them no
you don't have coid in your home or yes
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you don't have coid in your home or yes
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you don't have coid in your home or yes
you do so my qualif ation to comment on
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you do so my qualif ation to comment on
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you do so my qualif ation to comment on
this are both Technical and kind of
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this are both Technical and kind of
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this are both Technical and kind of
relational in the state of South
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relational in the state of South
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relational in the state of South
Carolina
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um I'll cut to a very narrow theme here
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um I'll cut to a very narrow theme here
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um I'll cut to a very narrow theme here
but it does touch on lots of these
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but it does touch on lots of these
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but it does touch on lots of these
regulatory issues and I'll leave it to
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regulatory issues and I'll leave it to
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regulatory issues and I'll leave it to
you to expand on those if you want to
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you to expand on those if you want to
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you to expand on those if you want to
I'll try to stay in this Narrow Lane um
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I'll try to stay in this Narrow Lane um
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I'll try to stay in this Narrow Lane um
of some problems in the fizer vaccine um
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of some problems in the fizer vaccine um
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of some problems in the fizer vaccine um
as a case study for place in which
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as a case study for place in which
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as a case study for place in which
regulatory oversight could be improved
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regulatory oversight could be improved
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regulatory oversight could be improved
all right
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all right
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all right
so first of all let me say that my
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so first of all let me say that my
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so first of all let me say that my
interpretation of the literature is that
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interpretation of the literature is that
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interpretation of the literature is that
the fizer vaccine did a pretty good job
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the fizer vaccine did a pretty good job
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the fizer vaccine did a pretty good job
of keeping people from dying but it did
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of keeping people from dying but it did
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of keeping people from dying but it did
a terrible job of stopping the pandemic
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a terrible job of stopping the pandemic
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a terrible job of stopping the pandemic
the early Publications showed that um it
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the early Publications showed that um it
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the early Publications showed that um it
stopped infection but that only lasted
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stopped infection but that only lasted
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stopped infection but that only lasted
for like a month Dr B could you pull the
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for like a month Dr B could you pull the
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for like a month Dr B could you pull the
mic a little closer to you um staff's
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mic a little closer to you um staff's
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mic a little closer to you um staff's
telling me they having trouble getting
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telling me they having trouble getting
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telling me they having trouble getting
you on the recording okay okay thank you
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you on the recording okay okay thank you
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you on the recording okay okay thank you
um in in my professional evaluation of
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um in in my professional evaluation of
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um in in my professional evaluation of
the literature the fiser vaccine did a
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the literature the fiser vaccine did a
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the literature the fiser vaccine did a
pretty good job of keeping people out of
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pretty good job of keeping people out of
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pretty good job of keeping people out of
the cemetery but it sucked at stopping
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the cemetery but it sucked at stopping
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the cemetery but it sucked at stopping
the pandemic and um it was the best of
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the pandemic and um it was the best of
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the pandemic and um it was the best of
sucky options that we had and I still
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sucky options that we had and I still
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sucky options that we had and I still
believe that um it was
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believe that um it was
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believe that um it was
deployed mostly in good faith but there
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deployed mostly in good faith but there
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deployed mostly in good faith but there
were a lot of shortcuts taken because
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were a lot of shortcuts taken because
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were a lot of shortcuts taken because
the house was on fire and uh we could do
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the house was on fire and uh we could do
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the house was on fire and uh we could do
a better job next time time from the
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a better job next time time from the
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a better job next time time from the
lessons that we're going to learn here
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lessons that we're going to learn here
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lessons that we're going to learn here
that's my own personal view of this uh
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that's my own personal view of this uh
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that's my own personal view of this uh
but I'm also my philosophical bent here
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but I'm also my philosophical bent here
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but I'm also my philosophical bent here
is I'm sure many of you have heard of a
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is I'm sure many of you have heard of a
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is I'm sure many of you have heard of a
aam's Razer right choose the simplest of
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aam's Razer right choose the simplest of
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aam's Razer right choose the simplest of
explanations well there's another one
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explanations well there's another one
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explanations well there's another one
called hanlon's Razer which is never
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called hanlon's Razer which is never
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called hanlon's Razer which is never
attribute malice to that which can be
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attribute malice to that which can be
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attribute malice to that which can be
better explained by incompetence and so
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better explained by incompetence and so
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better explained by incompetence and so
I'm trying to be gracious here in many
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I'm trying to be gracious here in many
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I'm trying to be gracious here in many
in circumstances there could be malice
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in circumstances there could be malice
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in circumstances there could be malice
underneath but I'm trying to see just
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underneath but I'm trying to see just
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underneath but I'm trying to see just
incompetence to be gracious so the fizer
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incompetence to be gracious so the fizer
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incompetence to be gracious so the fizer
uh vaccine is contaminated with plasma
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uh vaccine is contaminated with plasma
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uh vaccine is contaminated with plasma
DNA it's not just mRNA it's got bits of
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DNA it's not just mRNA it's got bits of
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DNA it's not just mRNA it's got bits of
DNA in it this DNA is the DNA Vector
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DNA in it this DNA is the DNA Vector
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DNA in it this DNA is the DNA Vector
that was used um as the template for the
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that was used um as the template for the
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that was used um as the template for the
invitro transcription reaction when they
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invitro transcription reaction when they
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invitro transcription reaction when they
made the
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made the
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made the
MRNA um I know this is true because I
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MRNA um I know this is true because I
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MRNA um I know this is true because I
sequenced it in my own lab the vials of
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sequenced it in my own lab the vials of
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sequenced it in my own lab the vials of
fiser vaccine that were given out here
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fiser vaccine that were given out here
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fiser vaccine that were given out here
in Colombia uh one of my colleagues was
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in Colombia uh one of my colleagues was
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in Colombia uh one of my colleagues was
in charge of that vaccination program in
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in charge of that vaccination program in
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in charge of that vaccination program in
the College of Pharmacy and for reasons
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the College of Pharmacy and for reasons
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the College of Pharmacy and for reasons
that I still don't understand he kept
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that I still don't understand he kept
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that I still don't understand he kept
every single vial um so he had a whole
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every single vial um so he had a whole
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every single vial um so he had a whole
freezer full of the empty vials well the
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freezer full of the empty vials well the
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freezer full of the empty vials well the
empty vials have a little tiny bit in
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empty vials have a little tiny bit in
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empty vials have a little tiny bit in
the bottom of them he gave them all to
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the bottom of them he gave them all to
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the bottom of them he gave them all to
me and I looked at them we had two
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me and I looked at them we had two
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me and I looked at them we had two
batches that were given out here in
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batches that were given out here in
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batches that were given out here in
Colombia and I checked these two batches
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Colombia and I checked these two batches
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Colombia and I checked these two batches
and I checked them by
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and I checked them by
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and I checked them by
sequencing and I sequenced all the DNA
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sequencing and I sequenced all the DNA
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sequencing and I sequenced all the DNA
that was in the vaccine and I can see
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that was in the vaccine and I can see
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that was in the vaccine and I can see
what's in there and it's surprising that
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what's in there and it's surprising that
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what's in there and it's surprising that
there's any DNA in there and you can
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there's any DNA in there and you can
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there's any DNA in there and you can
kind of work out what it is and how it
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kind of work out what it is and how it
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kind of work out what it is and how it
got there and I'm kind of alarmed about
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got there and I'm kind of alarmed about
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got there and I'm kind of alarmed about
the possible consequences of this both
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the possible consequences of this both
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the possible consequences of this both
in terms of human health and biology but
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in terms of human health and biology but
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in terms of human health and biology but
you should be alarmed about the
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you should be alarmed about the
231
00:04:39,840 --> 00:04:41,350
you should be alarmed about the
regulatory process that allowed it to
232
00:04:41,350 --> 00:04:41,360
regulatory process that allowed it to
233
00:04:41,360 --> 00:04:45,390
regulatory process that allowed it to
get there so this DNA in my
234
00:04:45,390 --> 00:04:45,400
get there so this DNA in my
235
00:04:45,400 --> 00:04:48,469
get there so this DNA in my
view it could be causing some of the
236
00:04:48,469 --> 00:04:48,479
view it could be causing some of the
237
00:04:48,479 --> 00:04:50,469
view it could be causing some of the
rare but serious side effects like death
238
00:04:50,469 --> 00:04:50,479
rare but serious side effects like death
239
00:04:50,479 --> 00:04:52,150
rare but serious side effects like death
from Cardiac Arrest there's a lot of
240
00:04:52,150 --> 00:04:52,160
from Cardiac Arrest there's a lot of
241
00:04:52,160 --> 00:04:57,029
from Cardiac Arrest there's a lot of
cases now um of people having suspicious
242
00:04:57,029 --> 00:04:57,039
cases now um of people having suspicious
243
00:04:57,039 --> 00:04:59,230
cases now um of people having suspicious
death after vaccine it's hard to prove
244
00:04:59,230 --> 00:04:59,240
death after vaccine it's hard to prove
245
00:04:59,240 --> 00:05:00,749
death after vaccine it's hard to prove
what caused it it's just you know
246
00:05:00,749 --> 00:05:00,759
what caused it it's just you know
247
00:05:00,759 --> 00:05:05,189
what caused it it's just you know
temporally Associated um and this DNA is
248
00:05:05,189 --> 00:05:05,199
temporally Associated um and this DNA is
249
00:05:05,199 --> 00:05:10,430
temporally Associated um and this DNA is
a plausible mechanism okay uh this DNA
250
00:05:10,430 --> 00:05:10,440
a plausible mechanism okay uh this DNA
251
00:05:10,440 --> 00:05:13,790
a plausible mechanism okay uh this DNA
uh can and likely will integrate into
252
00:05:13,790 --> 00:05:13,800
uh can and likely will integrate into
253
00:05:13,800 --> 00:05:16,310
uh can and likely will integrate into
the genomic DNA of cells that got
254
00:05:16,310 --> 00:05:16,320
the genomic DNA of cells that got
255
00:05:16,320 --> 00:05:18,870
the genomic DNA of cells that got
transfected with the vaccine mix this is
256
00:05:18,870 --> 00:05:18,880
transfected with the vaccine mix this is
257
00:05:18,880 --> 00:05:20,270
transfected with the vaccine mix this is
just the way it works we do this in the
258
00:05:20,270 --> 00:05:20,280
just the way it works we do this in the
259
00:05:20,280 --> 00:05:22,510
just the way it works we do this in the
lab all the time we take pieces of DNA
260
00:05:22,510 --> 00:05:22,520
lab all the time we take pieces of DNA
261
00:05:22,520 --> 00:05:24,670
lab all the time we take pieces of DNA
we mix them up with a A lipid complex
262
00:05:24,670 --> 00:05:24,680
we mix them up with a A lipid complex
263
00:05:24,680 --> 00:05:27,510
we mix them up with a A lipid complex
like the fizer uh vaccine is in we pour
264
00:05:27,510 --> 00:05:27,520
like the fizer uh vaccine is in we pour
265
00:05:27,520 --> 00:05:29,870
like the fizer uh vaccine is in we pour
it onto cells and and a lot of it gets
266
00:05:29,870 --> 00:05:29,880
it onto cells and and a lot of it gets
267
00:05:29,880 --> 00:05:31,350
it onto cells and and a lot of it gets
into the cells and a lot of it gets into
268
00:05:31,350 --> 00:05:31,360
into the cells and a lot of it gets into
269
00:05:31,360 --> 00:05:32,990
into the cells and a lot of it gets into
the DNA of those cells and it becomes a
270
00:05:32,990 --> 00:05:33,000
the DNA of those cells and it becomes a
271
00:05:33,000 --> 00:05:34,990
the DNA of those cells and it becomes a
permanent fixture of the cell it's not
272
00:05:34,990 --> 00:05:35,000
permanent fixture of the cell it's not
273
00:05:35,000 --> 00:05:38,510
permanent fixture of the cell it's not
just a temporary um a temporary thing it
274
00:05:38,510 --> 00:05:38,520
just a temporary um a temporary thing it
275
00:05:38,520 --> 00:05:40,670
just a temporary um a temporary thing it
is in that cell and all of its progyny
276
00:05:40,670 --> 00:05:40,680
is in that cell and all of its progyny
277
00:05:40,680 --> 00:05:43,430
is in that cell and all of its progyny
from now on forever more
278
00:05:43,430 --> 00:05:43,440
from now on forever more
279
00:05:43,440 --> 00:05:45,790
from now on forever more
amen so that's why I'm kind of alarmed
280
00:05:45,790 --> 00:05:45,800
amen so that's why I'm kind of alarmed
281
00:05:45,800 --> 00:05:48,309
amen so that's why I'm kind of alarmed
about this DNA being in the vaccine it's
282
00:05:48,309 --> 00:05:48,319
about this DNA being in the vaccine it's
283
00:05:48,319 --> 00:05:50,870
about this DNA being in the vaccine it's
it's it's different from RNA because it
284
00:05:50,870 --> 00:05:50,880
it's it's different from RNA because it
285
00:05:50,880 --> 00:05:51,950
it's it's different from RNA because it
can be
286
00:05:51,950 --> 00:05:51,960
can be
287
00:05:51,960 --> 00:05:54,029
can be
permanent this is a real Hazard for
288
00:05:54,029 --> 00:05:54,039
permanent this is a real Hazard for
289
00:05:54,039 --> 00:05:56,029
permanent this is a real Hazard for
genome modification of Long Live sematic
290
00:05:56,029 --> 00:05:56,039
genome modification of Long Live sematic
291
00:05:56,039 --> 00:05:59,629
genome modification of Long Live sematic
cells like stem cells um and it could
292
00:05:59,629 --> 00:05:59,639
cells like stem cells um and it could
293
00:05:59,639 --> 00:06:01,510
cells like stem cells um and it could
cause theoretically this is all a
294
00:06:01,510 --> 00:06:01,520
cause theoretically this is all a
295
00:06:01,520 --> 00:06:03,029
cause theoretically this is all a
theoretical concern but it's pretty
296
00:06:03,029 --> 00:06:03,039
theoretical concern but it's pretty
297
00:06:03,039 --> 00:06:05,909
theoretical concern but it's pretty
reasonable based on solid molecular
298
00:06:05,909 --> 00:06:05,919
reasonable based on solid molecular
299
00:06:05,919 --> 00:06:08,110
reasonable based on solid molecular
biology that it could cause a sustained
300
00:06:08,110 --> 00:06:08,120
biology that it could cause a sustained
301
00:06:08,120 --> 00:06:10,430
biology that it could cause a sustained
autoimmune tact toward that tissue it's
302
00:06:10,430 --> 00:06:10,440
autoimmune tact toward that tissue it's
303
00:06:10,440 --> 00:06:12,990
autoimmune tact toward that tissue it's
also a very real theoretical risk of
304
00:06:12,990 --> 00:06:13,000
also a very real theoretical risk of
305
00:06:13,000 --> 00:06:15,670
also a very real theoretical risk of
future cancer in some people depending
306
00:06:15,670 --> 00:06:15,680
future cancer in some people depending
307
00:06:15,680 --> 00:06:17,830
future cancer in some people depending
on where in the genome this foreign
308
00:06:17,830 --> 00:06:17,840
on where in the genome this foreign
309
00:06:17,840 --> 00:06:20,870
on where in the genome this foreign
piece of DNA lands um it can interrupt a
310
00:06:20,870 --> 00:06:20,880
piece of DNA lands um it can interrupt a
311
00:06:20,880 --> 00:06:23,270
piece of DNA lands um it can interrupt a
tumor suppressor or activate an enogen I
312
00:06:23,270 --> 00:06:23,280
tumor suppressor or activate an enogen I
313
00:06:23,280 --> 00:06:25,070
tumor suppressor or activate an enogen I
think it'll be rare but I think the risk
314
00:06:25,070 --> 00:06:25,080
think it'll be rare but I think the risk
315
00:06:25,080 --> 00:06:26,830
think it'll be rare but I think the risk
is not zero and it may be high enough
316
00:06:26,830 --> 00:06:26,840
is not zero and it may be high enough
317
00:06:26,840 --> 00:06:28,510
is not zero and it may be high enough
that we are to figure out if this is
318
00:06:28,510 --> 00:06:28,520
that we are to figure out if this is
319
00:06:28,520 --> 00:06:30,510
that we are to figure out if this is
happening or not
320
00:06:30,510 --> 00:06:30,520
happening or not
321
00:06:30,520 --> 00:06:33,150
happening or not
and then again the the the autoimmunity
322
00:06:33,150 --> 00:06:33,160
and then again the the the autoimmunity
323
00:06:33,160 --> 00:06:34,749
and then again the the the autoimmunity
thing is not my wheelhouse I'm not an
324
00:06:34,749 --> 00:06:34,759
thing is not my wheelhouse I'm not an
325
00:06:34,759 --> 00:06:36,550
thing is not my wheelhouse I'm not an
immunologist but the cancer risk is
326
00:06:36,550 --> 00:06:36,560
immunologist but the cancer risk is
327
00:06:36,560 --> 00:06:39,430
immunologist but the cancer risk is
that's my bag I know this is a thing and
328
00:06:39,430 --> 00:06:39,440
that's my bag I know this is a thing and
329
00:06:39,440 --> 00:06:42,110
that's my bag I know this is a thing and
it is a
330
00:06:42,110 --> 00:06:42,120
331
00:06:42,120 --> 00:06:45,270
possibility okay A little nerdy science
332
00:06:45,270 --> 00:06:45,280
possibility okay A little nerdy science
333
00:06:45,280 --> 00:06:46,909
possibility okay A little nerdy science
here the central dogma of molecular
334
00:06:46,909 --> 00:06:46,919
here the central dogma of molecular
335
00:06:46,919 --> 00:06:49,589
here the central dogma of molecular
biology is that DNA gets transcribed
336
00:06:49,589 --> 00:06:49,599
biology is that DNA gets transcribed
337
00:06:49,599 --> 00:06:53,070
biology is that DNA gets transcribed
into RNA okay and then RNA gets
338
00:06:53,070 --> 00:06:53,080
into RNA okay and then RNA gets
339
00:06:53,080 --> 00:06:56,230
into RNA okay and then RNA gets
translated into protein this is just how
340
00:06:56,230 --> 00:06:56,240
translated into protein this is just how
341
00:06:56,240 --> 00:06:57,309
translated into protein this is just how
life
342
00:06:57,309 --> 00:06:57,319
life
343
00:06:57,319 --> 00:07:01,029
life
runs why why does this matter well DNA
344
00:07:01,029 --> 00:07:01,039
runs why why does this matter well DNA
345
00:07:01,039 --> 00:07:03,270
runs why why does this matter well DNA
for the purposes of this discussion DNA
346
00:07:03,270 --> 00:07:03,280
for the purposes of this discussion DNA
347
00:07:03,280 --> 00:07:06,350
for the purposes of this discussion DNA
is a longlived information storage
348
00:07:06,350 --> 00:07:06,360
is a longlived information storage
349
00:07:06,360 --> 00:07:08,390
is a longlived information storage
device okay what you were born with
350
00:07:08,390 --> 00:07:08,400
device okay what you were born with
351
00:07:08,400 --> 00:07:09,710
device okay what you were born with
you're going to die with and pass on to
352
00:07:09,710 --> 00:07:09,720
you're going to die with and pass on to
353
00:07:09,720 --> 00:07:12,430
you're going to die with and pass on to
your kids DNA lasts for hundreds of
354
00:07:12,430 --> 00:07:12,440
your kids DNA lasts for hundreds of
355
00:07:12,440 --> 00:07:14,990
your kids DNA lasts for hundreds of
thousands of years um and it can last
356
00:07:14,990 --> 00:07:15,000
thousands of years um and it can last
357
00:07:15,000 --> 00:07:16,589
thousands of years um and it can last
for Generations if you and get pass it
358
00:07:16,589 --> 00:07:16,599
for Generations if you and get pass it
359
00:07:16,599 --> 00:07:18,990
for Generations if you and get pass it
on to your kids right so alterations to
360
00:07:18,990 --> 00:07:19,000
on to your kids right so alterations to
361
00:07:19,000 --> 00:07:19,670
on to your kids right so alterations to
the
362
00:07:19,670 --> 00:07:19,680
the
363
00:07:19,680 --> 00:07:23,990
the
DNA they stick around RNA by its nature
364
00:07:23,990 --> 00:07:24,000
DNA they stick around RNA by its nature
365
00:07:24,000 --> 00:07:28,150
DNA they stick around RNA by its nature
is temporary it doesn't last and that
366
00:07:28,150 --> 00:07:28,160
is temporary it doesn't last and that
367
00:07:28,160 --> 00:07:30,270
is temporary it doesn't last and that
feature of RNA was part of the sales
368
00:07:30,270 --> 00:07:30,280
feature of RNA was part of the sales
369
00:07:30,280 --> 00:07:33,469
feature of RNA was part of the sales
pitch for the vaccine the pseudo iDine
370
00:07:33,469 --> 00:07:33,479
pitch for the vaccine the pseudo iDine
371
00:07:33,479 --> 00:07:34,790
pitch for the vaccine the pseudo iDine
was supposed to make the RNA last a
372
00:07:34,790 --> 00:07:34,800
was supposed to make the RNA last a
373
00:07:34,800 --> 00:07:36,670
was supposed to make the RNA last a
little bit longer but still it's a
374
00:07:36,670 --> 00:07:36,680
little bit longer but still it's a
375
00:07:36,680 --> 00:07:39,589
little bit longer but still it's a
transient phenomenon we're talking hours
376
00:07:39,589 --> 00:07:39,599
transient phenomenon we're talking hours
377
00:07:39,599 --> 00:07:43,189
transient phenomenon we're talking hours
to days okay um and then proteins once
378
00:07:43,189 --> 00:07:43,199
to days okay um and then proteins once
379
00:07:43,199 --> 00:07:45,029
to days okay um and then proteins once
proteins are made they also don't last
380
00:07:45,029 --> 00:07:45,039
proteins are made they also don't last
381
00:07:45,039 --> 00:07:48,189
proteins are made they also don't last
forever they they last for hours to days
382
00:07:48,189 --> 00:07:48,199
forever they they last for hours to days
383
00:07:48,199 --> 00:07:49,589
forever they they last for hours to days
but something that makes its way into
384
00:07:49,589 --> 00:07:49,599
but something that makes its way into
385
00:07:49,599 --> 00:07:52,029
but something that makes its way into
DNA has the potential to last for a very
386
00:07:52,029 --> 00:07:52,039
DNA has the potential to last for a very
387
00:07:52,039 --> 00:07:54,990
DNA has the potential to last for a very
long time maybe a
388
00:07:54,990 --> 00:07:55,000
long time maybe a
389
00:07:55,000 --> 00:07:57,510
long time maybe a
lifetime so this is a picture of the
390
00:07:57,510 --> 00:07:57,520
lifetime so this is a picture of the
391
00:07:57,520 --> 00:07:59,309
lifetime so this is a picture of the
sequencing read that uh the sequencing
392
00:07:59,309 --> 00:07:59,319
sequencing read that uh the sequencing
393
00:07:59,319 --> 00:08:02,550
sequencing read that uh the sequencing
run that I did uh in the lab um from a
394
00:08:02,550 --> 00:08:02,560
run that I did uh in the lab um from a
395
00:08:02,560 --> 00:08:04,350
run that I did uh in the lab um from a
couple of batches of the fiser vaccine
396
00:08:04,350 --> 00:08:04,360
couple of batches of the fiser vaccine
397
00:08:04,360 --> 00:08:05,830
couple of batches of the fiser vaccine
and all those little bitty lines here
398
00:08:05,830 --> 00:08:05,840
and all those little bitty lines here
399
00:08:05,840 --> 00:08:07,430
and all those little bitty lines here
are the little tiny pieces of DNA that
400
00:08:07,430 --> 00:08:07,440
are the little tiny pieces of DNA that
401
00:08:07,440 --> 00:08:09,869
are the little tiny pieces of DNA that
are in the vaccine they don't belong
402
00:08:09,869 --> 00:08:09,879
are in the vaccine they don't belong
403
00:08:09,879 --> 00:08:11,909
are in the vaccine they don't belong
there they are not part of the sales
404
00:08:11,909 --> 00:08:11,919
there they are not part of the sales
405
00:08:11,919 --> 00:08:13,990
there they are not part of the sales
pitch or the marketing campaign and
406
00:08:13,990 --> 00:08:14,000
pitch or the marketing campaign and
407
00:08:14,000 --> 00:08:16,189
pitch or the marketing campaign and
they're there there's a lot of them this
408
00:08:16,189 --> 00:08:16,199
they're there there's a lot of them this
409
00:08:16,199 --> 00:08:17,309
they're there there's a lot of them this
little graph here in the middle is the
410
00:08:17,309 --> 00:08:17,319
little graph here in the middle is the
411
00:08:17,319 --> 00:08:19,869
little graph here in the middle is the
size distribution it Peaks around 100
412
00:08:19,869 --> 00:08:19,879
size distribution it Peaks around 100
413
00:08:19,879 --> 00:08:24,070
size distribution it Peaks around 100
base pairs 120 base pairs so the the DNA
414
00:08:24,070 --> 00:08:24,080
base pairs 120 base pairs so the the DNA
415
00:08:24,080 --> 00:08:26,309
base pairs 120 base pairs so the the DNA
pieces that are in the vaccine are short
416
00:08:26,309 --> 00:08:26,319
pieces that are in the vaccine are short
417
00:08:26,319 --> 00:08:29,909
pieces that are in the vaccine are short
little pieces 100 120 there's some that
418
00:08:29,909 --> 00:08:29,919
little pieces 100 120 there's some that
419
00:08:29,919 --> 00:08:32,389
little pieces 100 120 there's some that
are about 500 base pairs a few that are
420
00:08:32,389 --> 00:08:32,399
are about 500 base pairs a few that are
421
00:08:32,399 --> 00:08:34,350
are about 500 base pairs a few that are
even 5,000 but most of them are around
422
00:08:34,350 --> 00:08:34,360
even 5,000 but most of them are around
423
00:08:34,360 --> 00:08:35,909
even 5,000 but most of them are around
100 base
424
00:08:35,909 --> 00:08:35,919
100 base
425
00:08:35,919 --> 00:08:38,790
100 base
pairs um why is this
426
00:08:38,790 --> 00:08:38,800
pairs um why is this
427
00:08:38,800 --> 00:08:42,230
pairs um why is this
important because the probability of a
428
00:08:42,230 --> 00:08:42,240
important because the probability of a
429
00:08:42,240 --> 00:08:46,310
important because the probability of a
DNA piece of DNA integrating into the
430
00:08:46,310 --> 00:08:46,320
DNA piece of DNA integrating into the
431
00:08:46,320 --> 00:08:49,949
DNA piece of DNA integrating into the
human genome is unrelated to its size so
432
00:08:49,949 --> 00:08:49,959
human genome is unrelated to its size so
433
00:08:49,959 --> 00:08:52,350
human genome is unrelated to its size so
your genome risk is just a function of
434
00:08:52,350 --> 00:08:52,360
your genome risk is just a function of
435
00:08:52,360 --> 00:08:54,750
your genome risk is just a function of
how many particles there are so it's
436
00:08:54,750 --> 00:08:54,760
how many particles there are so it's
437
00:08:54,760 --> 00:08:56,750
how many particles there are so it's
like you know if you shoot a shotgun at
438
00:08:56,750 --> 00:08:56,760
like you know if you shoot a shotgun at
439
00:08:56,760 --> 00:08:59,470
like you know if you shoot a shotgun at
a washboard if you shoot a slug you have
440
00:08:59,470 --> 00:08:59,480
a washboard if you shoot a slug you have
441
00:08:59,480 --> 00:09:00,990
a washboard if you shoot a slug you have
some probability of hitting it and if
442
00:09:00,990 --> 00:09:01,000
some probability of hitting it and if
443
00:09:01,000 --> 00:09:02,389
some probability of hitting it and if
shoot Buckshot you have a bigger
444
00:09:02,389 --> 00:09:02,399
shoot Buckshot you have a bigger
445
00:09:02,399 --> 00:09:04,430
shoot Buckshot you have a bigger
probability of hitting it with some shot
446
00:09:04,430 --> 00:09:04,440
probability of hitting it with some shot
447
00:09:04,440 --> 00:09:06,590
probability of hitting it with some shot
right this all these little pieces of
448
00:09:06,590 --> 00:09:06,600
right this all these little pieces of
449
00:09:06,600 --> 00:09:07,829
right this all these little pieces of
DNA that are in the vaccine are
450
00:09:07,829 --> 00:09:07,839
DNA that are in the vaccine are
451
00:09:07,839 --> 00:09:12,430
DNA that are in the vaccine are
analogous to Buckshot um you have many
452
00:09:12,430 --> 00:09:12,440
analogous to Buckshot um you have many
453
00:09:12,440 --> 00:09:14,389
analogous to Buckshot um you have many
many thousands of opportunities to
454
00:09:14,389 --> 00:09:14,399
many thousands of opportunities to
455
00:09:14,399 --> 00:09:16,269
many thousands of opportunities to
modify uh
456
00:09:16,269 --> 00:09:16,279
modify uh
457
00:09:16,279 --> 00:09:20,670
modify uh
a uh cell of a vaccinated person um the
458
00:09:20,670 --> 00:09:20,680
a uh cell of a vaccinated person um the
459
00:09:20,680 --> 00:09:22,990
a uh cell of a vaccinated person um the
pieces are very small because during the
460
00:09:22,990 --> 00:09:23,000
pieces are very small because during the
461
00:09:23,000 --> 00:09:24,630
pieces are very small because during the
process they chopped them up to try to
462
00:09:24,630 --> 00:09:24,640
process they chopped them up to try to
463
00:09:24,640 --> 00:09:26,150
process they chopped them up to try to
make them go away but they actually
464
00:09:26,150 --> 00:09:26,160
make them go away but they actually
465
00:09:26,160 --> 00:09:28,150
make them go away but they actually
increased the hazard of genome
466
00:09:28,150 --> 00:09:28,160
increased the hazard of genome
467
00:09:28,160 --> 00:09:30,110
increased the hazard of genome
modification in the process
468
00:09:30,110 --> 00:09:30,120
modification in the process
469
00:09:30,120 --> 00:09:32,230
modification in the process
that's how this got
470
00:09:32,230 --> 00:09:32,240
that's how this got
471
00:09:32,240 --> 00:09:37,350
that's how this got
here um in my view uh somebody should go
472
00:09:37,350 --> 00:09:37,360
here um in my view uh somebody should go
473
00:09:37,360 --> 00:09:38,150
here um in my view uh somebody should go
about
474
00:09:38,150 --> 00:09:38,160
about
475
00:09:38,160 --> 00:09:41,710
about
sequencing DNA samples from stem cells
476
00:09:41,710 --> 00:09:41,720
sequencing DNA samples from stem cells
477
00:09:41,720 --> 00:09:43,990
sequencing DNA samples from stem cells
of people who are vaccinated and find
478
00:09:43,990 --> 00:09:44,000
of people who are vaccinated and find
479
00:09:44,000 --> 00:09:45,710
of people who are vaccinated and find
out if this
480
00:09:45,710 --> 00:09:45,720
out if this
481
00:09:45,720 --> 00:09:49,630
out if this
theoretical risk has happened or not I
482
00:09:49,630 --> 00:09:49,640
theoretical risk has happened or not I
483
00:09:49,640 --> 00:09:52,150
theoretical risk has happened or not I
think this is a real serious oversight
484
00:09:52,150 --> 00:09:52,160
think this is a real serious oversight
485
00:09:52,160 --> 00:09:54,430
think this is a real serious oversight
regulatory oversight that happened at
486
00:09:54,430 --> 00:09:54,440
regulatory oversight that happened at
487
00:09:54,440 --> 00:09:56,310
regulatory oversight that happened at
the federal level and somebody should
488
00:09:56,310 --> 00:09:56,320
the federal level and somebody should
489
00:09:56,320 --> 00:09:58,949
the federal level and somebody should
force this to happen somewhere Dr B if
490
00:09:58,949 --> 00:09:58,959
force this to happen somewhere Dr B if
491
00:09:58,959 --> 00:10:01,910
force this to happen somewhere Dr B if
you now are you capable of doing that
492
00:10:01,910 --> 00:10:01,920
you now are you capable of doing that
493
00:10:01,920 --> 00:10:04,310
you now are you capable of doing that
yeah it's we do that kind of thing but
494
00:10:04,310 --> 00:10:04,320
yeah it's we do that kind of thing but
495
00:10:04,320 --> 00:10:06,870
yeah it's we do that kind of thing but
in order for it to be trustworthy it by
496
00:10:06,870 --> 00:10:06,880
in order for it to be trustworthy it by
497
00:10:06,880 --> 00:10:08,790
in order for it to be trustworthy it by
the public this has to be done by lots
498
00:10:08,790 --> 00:10:08,800
the public this has to be done by lots
499
00:10:08,800 --> 00:10:11,389
the public this has to be done by lots
of people right okay um I'll talk to you
500
00:10:11,389 --> 00:10:11,399
of people right okay um I'll talk to you
501
00:10:11,399 --> 00:10:12,910
of people right okay um I'll talk to you
more about that later yeah this is our
502
00:10:12,910 --> 00:10:12,920
more about that later yeah this is our
503
00:10:12,920 --> 00:10:14,550
more about that later yeah this is our
our deal this is why I know this should
504
00:10:14,550 --> 00:10:14,560
our deal this is why I know this should
505
00:10:14,560 --> 00:10:18,430
our deal this is why I know this should
have been done at the federal level
506
00:10:18,430 --> 00:10:18,440
have been done at the federal level
507
00:10:18,440 --> 00:10:21,829
have been done at the federal level
okay um so we took all these pieces of
508
00:10:21,829 --> 00:10:21,839
okay um so we took all these pieces of
509
00:10:21,839 --> 00:10:25,310
okay um so we took all these pieces of
DNA and we used them to glue together
510
00:10:25,310 --> 00:10:25,320
DNA and we used them to glue together
511
00:10:25,320 --> 00:10:27,509
DNA and we used them to glue together
what the source DNA must have been this
512
00:10:27,509 --> 00:10:27,519
what the source DNA must have been this
513
00:10:27,519 --> 00:10:29,710
what the source DNA must have been this
is kind of again this is our what we do
514
00:10:29,710 --> 00:10:29,720
is kind of again this is our what we do
515
00:10:29,720 --> 00:10:31,590
is kind of again this is our what we do
in the lab all the time and and all
516
00:10:31,590 --> 00:10:31,600
in the lab all the time and and all
517
00:10:31,600 --> 00:10:33,230
in the lab all the time and and all
these little little red and green lines
518
00:10:33,230 --> 00:10:33,240
these little little red and green lines
519
00:10:33,240 --> 00:10:34,350
these little little red and green lines
here these are all independent little
520
00:10:34,350 --> 00:10:34,360
here these are all independent little
521
00:10:34,360 --> 00:10:37,470
here these are all independent little
pieces of DNA um this must have had
522
00:10:37,470 --> 00:10:37,480
pieces of DNA um this must have had
523
00:10:37,480 --> 00:10:39,710
pieces of DNA um this must have had
100,000 pieces of DNA in this this
524
00:10:39,710 --> 00:10:39,720
100,000 pieces of DNA in this this
525
00:10:39,720 --> 00:10:41,509
100,000 pieces of DNA in this this
sequencing run and you can put them all
526
00:10:41,509 --> 00:10:41,519
sequencing run and you can put them all
527
00:10:41,519 --> 00:10:44,710
sequencing run and you can put them all
back together and see what they came
528
00:10:44,710 --> 00:10:44,720
back together and see what they came
529
00:10:44,720 --> 00:10:46,750
back together and see what they came
from is this circle over here it's a
530
00:10:46,750 --> 00:10:46,760
from is this circle over here it's a
531
00:10:46,760 --> 00:10:49,509
from is this circle over here it's a
plasmid that you can go shopping online
532
00:10:49,509 --> 00:10:49,519
plasmid that you can go shopping online
533
00:10:49,519 --> 00:10:53,230
plasmid that you can go shopping online
to buy from agilant and it's clear that
534
00:10:53,230 --> 00:10:53,240
to buy from agilant and it's clear that
535
00:10:53,240 --> 00:10:55,870
to buy from agilant and it's clear that
fiser uh took this plasmid and then they
536
00:10:55,870 --> 00:10:55,880
fiser uh took this plasmid and then they
537
00:10:55,880 --> 00:10:59,670
fiser uh took this plasmid and then they
Clon Spike into it um and
538
00:10:59,670 --> 00:10:59,680
Clon Spike into it um and
539
00:10:59,680 --> 00:11:01,590
Clon Spike into it um and
they used it for in a process called
540
00:11:01,590 --> 00:11:01,600
they used it for in a process called
541
00:11:01,600 --> 00:11:04,069
they used it for in a process called
invitro transcription translation inv
542
00:11:04,069 --> 00:11:04,079
invitro transcription translation inv
543
00:11:04,079 --> 00:11:06,629
invitro transcription translation inv
vitro transcription where you
544
00:11:06,629 --> 00:11:06,639
vitro transcription where you
545
00:11:06,639 --> 00:11:09,829
vitro transcription where you
feed an RNA polymerase this plasmid and
546
00:11:09,829 --> 00:11:09,839
feed an RNA polymerase this plasmid and
547
00:11:09,839 --> 00:11:11,350
feed an RNA polymerase this plasmid and
it makes a whole bunch of mRNA copies
548
00:11:11,350 --> 00:11:11,360
it makes a whole bunch of mRNA copies
549
00:11:11,360 --> 00:11:14,069
it makes a whole bunch of mRNA copies
for you okay and then you take this mRNA
550
00:11:14,069 --> 00:11:14,079
for you okay and then you take this mRNA
551
00:11:14,079 --> 00:11:15,629
for you okay and then you take this mRNA
you mix it with the the lipid
552
00:11:15,629 --> 00:11:15,639
you mix it with the the lipid
553
00:11:15,639 --> 00:11:17,590
you mix it with the the lipid
nanoparticle transection reagent and now
554
00:11:17,590 --> 00:11:17,600
nanoparticle transection reagent and now
555
00:11:17,600 --> 00:11:19,870
nanoparticle transection reagent and now
you've got your mRNA vaccine but they
556
00:11:19,870 --> 00:11:19,880
you've got your mRNA vaccine but they
557
00:11:19,880 --> 00:11:21,470
you've got your mRNA vaccine but they
failed to get the DNA out before they
558
00:11:21,470 --> 00:11:21,480
failed to get the DNA out before they
559
00:11:21,480 --> 00:11:24,190
failed to get the DNA out before they
did this so these little pieces they did
560
00:11:24,190 --> 00:11:24,200
did this so these little pieces they did
561
00:11:24,200 --> 00:11:26,030
did this so these little pieces they did
they did make some effort to chop it up
562
00:11:26,030 --> 00:11:26,040
they did make some effort to chop it up
563
00:11:26,040 --> 00:11:27,590
they did make some effort to chop it up
so all these little pieces of the plasma
564
00:11:27,590 --> 00:11:27,600
so all these little pieces of the plasma
565
00:11:27,600 --> 00:11:29,670
so all these little pieces of the plasma
got packaged in with the RNA that's
566
00:11:29,670 --> 00:11:29,680
got packaged in with the RNA that's
567
00:11:29,680 --> 00:11:32,150
got packaged in with the RNA that's
clear as day what happened just from the
568
00:11:32,150 --> 00:11:32,160
clear as day what happened just from the
569
00:11:32,160 --> 00:11:33,910
clear as day what happened just from the
forensics of looking at the DNA
570
00:11:33,910 --> 00:11:33,920
forensics of looking at the DNA
571
00:11:33,920 --> 00:11:36,790
forensics of looking at the DNA
sequencing okay A little bit of a
572
00:11:36,790 --> 00:11:36,800
sequencing okay A little bit of a
573
00:11:36,800 --> 00:11:39,870
sequencing okay A little bit of a
regulatory note here
574
00:11:39,870 --> 00:11:39,880
regulatory note here
575
00:11:39,880 --> 00:11:43,590
regulatory note here
um the way you do RNA transcription in
576
00:11:43,590 --> 00:11:43,600
um the way you do RNA transcription in
577
00:11:43,600 --> 00:11:45,269
um the way you do RNA transcription in
vitro transcription reactions you have
578
00:11:45,269 --> 00:11:45,279
vitro transcription reactions you have
579
00:11:45,279 --> 00:11:48,990
vitro transcription reactions you have
to give it a DNA template okay and you
580
00:11:48,990 --> 00:11:49,000
to give it a DNA template okay and you
581
00:11:49,000 --> 00:11:51,030
to give it a DNA template okay and you
can give it a DNA template that is just
582
00:11:51,030 --> 00:11:51,040
can give it a DNA template that is just
583
00:11:51,040 --> 00:11:53,990
can give it a DNA template that is just
a synthetic piece of DNA that is only
584
00:11:53,990 --> 00:11:54,000
a synthetic piece of DNA that is only
585
00:11:54,000 --> 00:11:55,670
a synthetic piece of DNA that is only
the instructions to make the
586
00:11:55,670 --> 00:11:55,680
the instructions to make the
587
00:11:55,680 --> 00:11:59,350
the instructions to make the
RNA and that's what was done for getting
588
00:11:59,350 --> 00:11:59,360
RNA and that's what was done for getting
589
00:11:59,360 --> 00:12:01,509
RNA and that's what was done for getting
the um emergency use authorization and
590
00:12:01,509 --> 00:12:01,519
the um emergency use authorization and
591
00:12:01,519 --> 00:12:03,269
the um emergency use authorization and
the clinical trial it's called process
592
00:12:03,269 --> 00:12:03,279
the clinical trial it's called process
593
00:12:03,279 --> 00:12:06,350
the clinical trial it's called process
one if you look up that kind of stuff um
594
00:12:06,350 --> 00:12:06,360
one if you look up that kind of stuff um
595
00:12:06,360 --> 00:12:08,590
one if you look up that kind of stuff um
they made a PCR product of just the bits
596
00:12:08,590 --> 00:12:08,600
they made a PCR product of just the bits
597
00:12:08,600 --> 00:12:10,269
they made a PCR product of just the bits
that they wanted and then they did the
598
00:12:10,269 --> 00:12:10,279
that they wanted and then they did the
599
00:12:10,279 --> 00:12:11,710
that they wanted and then they did the
invitro transcription made a bunch of
600
00:12:11,710 --> 00:12:11,720
invitro transcription made a bunch of
601
00:12:11,720 --> 00:12:14,030
invitro transcription made a bunch of
RNA of that there was no plasma DNA to
602
00:12:14,030 --> 00:12:14,040
RNA of that there was no plasma DNA to
603
00:12:14,040 --> 00:12:16,790
RNA of that there was no plasma DNA to
contaminate the stuff that was used for
604
00:12:16,790 --> 00:12:16,800
contaminate the stuff that was used for
605
00:12:16,800 --> 00:12:19,990
contaminate the stuff that was used for
the trial but that that making that PCR
606
00:12:19,990 --> 00:12:20,000
the trial but that that making that PCR
607
00:12:20,000 --> 00:12:22,629
the trial but that that making that PCR
product doesn't scale the way that was
608
00:12:22,629 --> 00:12:22,639
product doesn't scale the way that was
609
00:12:22,639 --> 00:12:25,069
product doesn't scale the way that was
necessary to vaccinate the whole world
610
00:12:25,069 --> 00:12:25,079
necessary to vaccinate the whole world
611
00:12:25,079 --> 00:12:27,150
necessary to vaccinate the whole world
so a cheaper way to scale up the
612
00:12:27,150 --> 00:12:27,160
so a cheaper way to scale up the
613
00:12:27,160 --> 00:12:29,430
so a cheaper way to scale up the
production of this template is to clone
614
00:12:29,430 --> 00:12:29,440
production of this template is to clone
615
00:12:29,440 --> 00:12:31,870
production of this template is to clone
that PCR product into this plasma Vector
616
00:12:31,870 --> 00:12:31,880
that PCR product into this plasma Vector
617
00:12:31,880 --> 00:12:33,870
that PCR product into this plasma Vector
put the plasma Vector into bacteria and
618
00:12:33,870 --> 00:12:33,880
put the plasma Vector into bacteria and
619
00:12:33,880 --> 00:12:35,230
put the plasma Vector into bacteria and
then you grow up big Vats of the
620
00:12:35,230 --> 00:12:35,240
then you grow up big Vats of the
621
00:12:35,240 --> 00:12:36,790
then you grow up big Vats of the
bacteria they make a lot of the plasma
622
00:12:36,790 --> 00:12:36,800
bacteria they make a lot of the plasma
623
00:12:36,800 --> 00:12:39,350
bacteria they make a lot of the plasma
DNA for you then you use that plasma DNA
624
00:12:39,350 --> 00:12:39,360
DNA for you then you use that plasma DNA
625
00:12:39,360 --> 00:12:40,829
DNA for you then you use that plasma DNA
as the template to drive this
626
00:12:40,829 --> 00:12:40,839
as the template to drive this
627
00:12:40,839 --> 00:12:43,430
as the template to drive this
transcription reaction to make your
628
00:12:43,430 --> 00:12:43,440
transcription reaction to make your
629
00:12:43,440 --> 00:12:45,470
transcription reaction to make your
RNA
630
00:12:45,470 --> 00:12:45,480
RNA
631
00:12:45,480 --> 00:12:47,829
RNA
um and that's where how the
632
00:12:47,829 --> 00:12:47,839
um and that's where how the
633
00:12:47,839 --> 00:12:50,629
um and that's where how the
contamination ended up in the production
634
00:12:50,629 --> 00:12:50,639
contamination ended up in the production
635
00:12:50,639 --> 00:12:52,550
contamination ended up in the production
batches even though it was not in the
636
00:12:52,550 --> 00:12:52,560
batches even though it was not in the
637
00:12:52,560 --> 00:12:55,069
batches even though it was not in the
stuff that was used for the
638
00:12:55,069 --> 00:12:55,079
stuff that was used for the
639
00:12:55,079 --> 00:12:56,710
stuff that was used for the
authorization
640
00:12:56,710 --> 00:12:56,720
authorization
641
00:12:56,720 --> 00:12:58,509
authorization
trials so I know it's a little bit of
642
00:12:58,509 --> 00:12:58,519
trials so I know it's a little bit of
643
00:12:58,519 --> 00:13:00,310
trials so I know it's a little bit of
nerdy science but it has
644
00:13:00,310 --> 00:13:00,320
nerdy science but it has
645
00:13:00,320 --> 00:13:06,949
nerdy science but it has
regulatory implications for for you
646
00:13:06,949 --> 00:13:06,959
647
00:13:06,959 --> 00:13:08,509
guys
648
00:13:08,509 --> 00:13:08,519
guys
649
00:13:08,519 --> 00:13:11,430
guys
um we can we can measure the quantity of
650
00:13:11,430 --> 00:13:11,440
um we can we can measure the quantity of
651
00:13:11,440 --> 00:13:13,670
um we can we can measure the quantity of
this stuff pretty easy in the lab this
652
00:13:13,670 --> 00:13:13,680
this stuff pretty easy in the lab this
653
00:13:13,680 --> 00:13:15,590
this stuff pretty easy in the lab this
is we're we're good at doing this kind
654
00:13:15,590 --> 00:13:15,600
is we're we're good at doing this kind
655
00:13:15,600 --> 00:13:16,910
is we're we're good at doing this kind
of stuff this is the same we made a
656
00:13:16,910 --> 00:13:16,920
of stuff this is the same we made a
657
00:13:16,920 --> 00:13:19,870
of stuff this is the same we made a
little PC a colleague of mine at at MIT
658
00:13:19,870 --> 00:13:19,880
little PC a colleague of mine at at MIT
659
00:13:19,880 --> 00:13:21,949
little PC a colleague of mine at at MIT
made you know from who who used to work
660
00:13:21,949 --> 00:13:21,959
made you know from who who used to work
661
00:13:21,959 --> 00:13:25,350
made you know from who who used to work
for the the broad Institute at MIT he he
662
00:13:25,350 --> 00:13:25,360
for the the broad Institute at MIT he he
663
00:13:25,360 --> 00:13:29,069
for the the broad Institute at MIT he he
made a little uh PCR test and we cloned
664
00:13:29,069 --> 00:13:29,079
made a little uh PCR test and we cloned
665
00:13:29,079 --> 00:13:31,389
made a little uh PCR test and we cloned
here this is similar to the PCR test
666
00:13:31,389 --> 00:13:31,399
here this is similar to the PCR test
667
00:13:31,399 --> 00:13:33,710
here this is similar to the PCR test
that you all took for the spit test okay
668
00:13:33,710 --> 00:13:33,720
that you all took for the spit test okay
669
00:13:33,720 --> 00:13:36,310
that you all took for the spit test okay
same same idea and same expertise behind
670
00:13:36,310 --> 00:13:36,320
same same idea and same expertise behind
671
00:13:36,320 --> 00:13:38,829
same same idea and same expertise behind
it and we can quantify exactly how much
672
00:13:38,829 --> 00:13:38,839
it and we can quantify exactly how much
673
00:13:38,839 --> 00:13:40,790
it and we can quantify exactly how much
of this stuff is in a vaccine or any
674
00:13:40,790 --> 00:13:40,800
of this stuff is in a vaccine or any
675
00:13:40,800 --> 00:13:42,590
of this stuff is in a vaccine or any
other tissue
676
00:13:42,590 --> 00:13:42,600
other tissue
677
00:13:42,600 --> 00:13:46,590
other tissue
and you know I estimate that there were
678
00:13:46,590 --> 00:13:46,600
and you know I estimate that there were
679
00:13:46,600 --> 00:13:49,590
and you know I estimate that there were
about two billion copies of the one
680
00:13:49,590 --> 00:13:49,600
about two billion copies of the one
681
00:13:49,600 --> 00:13:52,470
about two billion copies of the one
piece that we're looking for in every
682
00:13:52,470 --> 00:13:52,480
piece that we're looking for in every
683
00:13:52,480 --> 00:13:55,069
piece that we're looking for in every
dose and if you looked back at that map
684
00:13:55,069 --> 00:13:55,079
dose and if you looked back at that map
685
00:13:55,079 --> 00:13:57,509
dose and if you looked back at that map
I showed you where it's all these little
686
00:13:57,509 --> 00:13:57,519
I showed you where it's all these little
687
00:13:57,519 --> 00:13:58,829
I showed you where it's all these little
the the little piece that we're looking
688
00:13:58,829 --> 00:13:58,839
the the little piece that we're looking
689
00:13:58,839 --> 00:14:00,949
the the little piece that we're looking
for is just that little bit right there
690
00:14:00,949 --> 00:14:00,959
for is just that little bit right there
691
00:14:00,959 --> 00:14:04,629
for is just that little bit right there
okay but if you see 2 billion copies of
692
00:14:04,629 --> 00:14:04,639
okay but if you see 2 billion copies of
693
00:14:04,639 --> 00:14:07,590
okay but if you see 2 billion copies of
this there's about 200 billion of
694
00:14:07,590 --> 00:14:07,600
this there's about 200 billion of
695
00:14:07,600 --> 00:14:11,069
this there's about 200 billion of
everything else so what this means is
696
00:14:11,069 --> 00:14:11,079
everything else so what this means is
697
00:14:11,079 --> 00:14:13,389
everything else so what this means is
that there's probably about 200 billion
698
00:14:13,389 --> 00:14:13,399
that there's probably about 200 billion
699
00:14:13,399 --> 00:14:16,150
that there's probably about 200 billion
pieces of this plasma
700
00:14:16,150 --> 00:14:16,160
pieces of this plasma
701
00:14:16,160 --> 00:14:19,350
pieces of this plasma
DNA in in each dose of the
702
00:14:19,350 --> 00:14:19,360
DNA in in each dose of the
703
00:14:19,360 --> 00:14:22,389
DNA in in each dose of the
vaccine and it's encapsulated in this
704
00:14:22,389 --> 00:14:22,399
vaccine and it's encapsulated in this
705
00:14:22,399 --> 00:14:24,829
vaccine and it's encapsulated in this
lipid nanop particle so it's ready to be
706
00:14:24,829 --> 00:14:24,839
lipid nanop particle so it's ready to be
707
00:14:24,839 --> 00:14:26,670
lipid nanop particle so it's ready to be
delivered inside the
708
00:14:26,670 --> 00:14:26,680
delivered inside the
709
00:14:26,680 --> 00:14:31,030
delivered inside the
cell okay this is a bad
710
00:14:31,030 --> 00:14:31,040
711
00:14:31,040 --> 00:14:34,550
idea my conclusions from this
712
00:14:34,550 --> 00:14:34,560
idea my conclusions from this
713
00:14:34,560 --> 00:14:39,509
idea my conclusions from this
um we should check a bunch of people
714
00:14:39,509 --> 00:14:39,519
715
00:14:39,519 --> 00:14:41,949
ah my conclusions from this are I should
716
00:14:41,949 --> 00:14:41,959
ah my conclusions from this are I should
717
00:14:41,959 --> 00:14:44,189
ah my conclusions from this are I should
learn how to run
718
00:14:44,189 --> 00:14:44,199
learn how to run
719
00:14:44,199 --> 00:14:46,629
learn how to run
PowerPoint um we should check a bunch of
720
00:14:46,629 --> 00:14:46,639
PowerPoint um we should check a bunch of
721
00:14:46,639 --> 00:14:47,790
PowerPoint um we should check a bunch of
vaccinated
722
00:14:47,790 --> 00:14:47,800
vaccinated
723
00:14:47,800 --> 00:14:50,910
vaccinated
people getting tissue
724
00:14:50,910 --> 00:14:50,920
people getting tissue
725
00:14:50,920 --> 00:14:53,590
people getting tissue
samples especially if we focus on harmed
726
00:14:53,590 --> 00:14:53,600
samples especially if we focus on harmed
727
00:14:53,600 --> 00:14:55,790
samples especially if we focus on harmed
people but that's not necessary we could
728
00:14:55,790 --> 00:14:55,800
people but that's not necessary we could
729
00:14:55,800 --> 00:14:58,509
people but that's not necessary we could
also just focus on regular unharmed
730
00:14:58,509 --> 00:14:58,519
also just focus on regular unharmed
731
00:14:58,519 --> 00:15:01,310
also just focus on regular unharmed
people people and see if this plasma DNA
732
00:15:01,310 --> 00:15:01,320
people people and see if this plasma DNA
733
00:15:01,320 --> 00:15:03,509
people people and see if this plasma DNA
is integrating into the genomes of any
734
00:15:03,509 --> 00:15:03,519
is integrating into the genomes of any
735
00:15:03,519 --> 00:15:06,110
is integrating into the genomes of any
of their stem cells it leaves a calling
736
00:15:06,110 --> 00:15:06,120
of their stem cells it leaves a calling
737
00:15:06,120 --> 00:15:09,310
of their stem cells it leaves a calling
card that is there one of the reasons
738
00:15:09,310 --> 00:15:09,320
card that is there one of the reasons
739
00:15:09,320 --> 00:15:11,230
card that is there one of the reasons
why I'm focusing on this is
740
00:15:11,230 --> 00:15:11,240
why I'm focusing on this is
741
00:15:11,240 --> 00:15:13,350
why I'm focusing on this is
because it's kind of different from a
742
00:15:13,350 --> 00:15:13,360
because it's kind of different from a
743
00:15:13,360 --> 00:15:14,990
because it's kind of different from a
lot of the other imagined harms where
744
00:15:14,990 --> 00:15:15,000
lot of the other imagined harms where
745
00:15:15,000 --> 00:15:16,949
lot of the other imagined harms where
you can't really prove it you can be
746
00:15:16,949 --> 00:15:16,959
you can't really prove it you can be
747
00:15:16,959 --> 00:15:18,509
you can't really prove it you can be
suspicious because of the timing but you
748
00:15:18,509 --> 00:15:18,519
suspicious because of the timing but you
749
00:15:18,519 --> 00:15:20,310
suspicious because of the timing but you
can't really prove it this one you can
750
00:15:20,310 --> 00:15:20,320
can't really prove it this one you can
751
00:15:20,320 --> 00:15:22,230
can't really prove it this one you can
prove it because it leaves a calling
752
00:15:22,230 --> 00:15:22,240
prove it because it leaves a calling
753
00:15:22,240 --> 00:15:25,030
prove it because it leaves a calling
card okay
754
00:15:25,030 --> 00:15:25,040
card okay
755
00:15:25,040 --> 00:15:27,550
card okay
um you find it in the stem cells of
756
00:15:27,550 --> 00:15:27,560
um you find it in the stem cells of
757
00:15:27,560 --> 00:15:29,309
um you find it in the stem cells of
harmed people
758
00:15:29,309 --> 00:15:29,319
harmed people
759
00:15:29,319 --> 00:15:31,910
harmed people
it's equivalent to finding a certain
760
00:15:31,910 --> 00:15:31,920
it's equivalent to finding a certain
761
00:15:31,920 --> 00:15:34,670
it's equivalent to finding a certain
type of lid in someone who is now dead
762
00:15:34,670 --> 00:15:34,680
type of lid in someone who is now dead
763
00:15:34,680 --> 00:15:36,990
type of lid in someone who is now dead
it's pretty reasonable to assume that
764
00:15:36,990 --> 00:15:37,000
it's pretty reasonable to assume that
765
00:15:37,000 --> 00:15:38,389
it's pretty reasonable to assume that
that's what caused
766
00:15:38,389 --> 00:15:38,399
that's what caused
767
00:15:38,399 --> 00:15:41,949
that's what caused
it uh the Royal we meaning you guys
768
00:15:41,949 --> 00:15:41,959
it uh the Royal we meaning you guys
769
00:15:41,959 --> 00:15:46,350
it uh the Royal we meaning you guys
should insist that the FDA Force fizer
770
00:15:46,350 --> 00:15:46,360
should insist that the FDA Force fizer
771
00:15:46,360 --> 00:15:48,269
should insist that the FDA Force fizer
to get the DNA out of the
772
00:15:48,269 --> 00:15:48,279
to get the DNA out of the
773
00:15:48,279 --> 00:15:51,269
to get the DNA out of the
booster and all future versions of this
774
00:15:51,269 --> 00:15:51,279
booster and all future versions of this
775
00:15:51,279 --> 00:15:54,230
booster and all future versions of this
vaccine I'm a real fan of this platform
776
00:15:54,230 --> 00:15:54,240
vaccine I'm a real fan of this platform
777
00:15:54,240 --> 00:15:56,749
vaccine I'm a real fan of this platform
okay I think it has the potential to
778
00:15:56,749 --> 00:15:56,759
okay I think it has the potential to
779
00:15:56,759 --> 00:15:59,309
okay I think it has the potential to
treat cancers I really
780
00:15:59,309 --> 00:15:59,319
treat cancers I really
781
00:15:59,319 --> 00:16:01,790
treat cancers I really
believe that this platform is
782
00:16:01,790 --> 00:16:01,800
believe that this platform is
783
00:16:01,800 --> 00:16:04,550
believe that this platform is
revolutionary and in your lifetime there
784
00:16:04,550 --> 00:16:04,560
revolutionary and in your lifetime there
785
00:16:04,560 --> 00:16:08,550
revolutionary and in your lifetime there
will be mRNA vaccines against antigens
786
00:16:08,550 --> 00:16:08,560
will be mRNA vaccines against antigens
787
00:16:08,560 --> 00:16:11,910
will be mRNA vaccines against antigens
in your unique cancer okay and but they
788
00:16:11,910 --> 00:16:11,920
in your unique cancer okay and but they
789
00:16:11,920 --> 00:16:14,710
in your unique cancer okay and but they
got to get this problem fixed okay and I
790
00:16:14,710 --> 00:16:14,720
got to get this problem fixed okay and I
791
00:16:14,720 --> 00:16:16,350
got to get this problem fixed okay and I
and I right now I think the financial
792
00:16:16,350 --> 00:16:16,360
and I right now I think the financial
793
00:16:16,360 --> 00:16:18,509
and I right now I think the financial
incentives are too great to just keep on
794
00:16:18,509 --> 00:16:18,519
incentives are too great to just keep on
795
00:16:18,519 --> 00:16:20,509
incentives are too great to just keep on
rolling with it and it's going to take
796
00:16:20,509 --> 00:16:20,519
rolling with it and it's going to take
797
00:16:20,519 --> 00:16:25,230
rolling with it and it's going to take
some encouragement to get it
798
00:16:25,230 --> 00:16:25,240
799
00:16:25,240 --> 00:16:28,269
out the regulation that allowed this DNA
800
00:16:28,269 --> 00:16:28,279
out the regulation that allowed this DNA
801
00:16:28,279 --> 00:16:30,030
out the regulation that allowed this DNA
to there in the first place I don't
802
00:16:30,030 --> 00:16:30,040
to there in the first place I don't
803
00:16:30,040 --> 00:16:31,509
to there in the first place I don't
think that this the amounts there
804
00:16:31,509 --> 00:16:31,519
think that this the amounts there
805
00:16:31,519 --> 00:16:33,710
think that this the amounts there
actually exceed the regulation
806
00:16:33,710 --> 00:16:33,720
actually exceed the regulation
807
00:16:33,720 --> 00:16:37,749
actually exceed the regulation
limits in some batches it may in in the
808
00:16:37,749 --> 00:16:37,759
limits in some batches it may in in the
809
00:16:37,759 --> 00:16:39,389
limits in some batches it may in in the
two batches that I looked at one of them
810
00:16:39,389 --> 00:16:39,399
two batches that I looked at one of them
811
00:16:39,399 --> 00:16:40,949
two batches that I looked at one of them
it was just under the limit and one it
812
00:16:40,949 --> 00:16:40,959
it was just under the limit and one it
813
00:16:40,959 --> 00:16:43,309
it was just under the limit and one it
was just over the limit my colleague in
814
00:16:43,309 --> 00:16:43,319
was just over the limit my colleague in
815
00:16:43,319 --> 00:16:44,949
was just over the limit my colleague in
Boston has looked at a fair number of
816
00:16:44,949 --> 00:16:44,959
Boston has looked at a fair number of
817
00:16:44,959 --> 00:16:46,949
Boston has looked at a fair number of
other batches and there's a handful that
818
00:16:46,949 --> 00:16:46,959
other batches and there's a handful that
819
00:16:46,959 --> 00:16:48,470
other batches and there's a handful that
are super high and there's a handful
820
00:16:48,470 --> 00:16:48,480
are super high and there's a handful
821
00:16:48,480 --> 00:16:50,870
are super high and there's a handful
that are super low but the fact that
822
00:16:50,870 --> 00:16:50,880
that are super low but the fact that
823
00:16:50,880 --> 00:16:53,749
that are super low but the fact that
there is a regulatory threshold for
824
00:16:53,749 --> 00:16:53,759
there is a regulatory threshold for
825
00:16:53,759 --> 00:16:55,590
there is a regulatory threshold for
amount of DNA allowed in a
826
00:16:55,590 --> 00:16:55,600
amount of DNA allowed in a
827
00:16:55,600 --> 00:16:59,509
amount of DNA allowed in a
vaccine is a throwback to an Era when we
828
00:16:59,509 --> 00:16:59,519
vaccine is a throwback to an Era when we
829
00:16:59,519 --> 00:17:00,910
vaccine is a throwback to an Era when we
were talking about vaccines that were
830
00:17:00,910 --> 00:17:00,920
were talking about vaccines that were
831
00:17:00,920 --> 00:17:03,509
were talking about vaccines that were
like a recombinant protein that you or a
832
00:17:03,509 --> 00:17:03,519
like a recombinant protein that you or a
833
00:17:03,519 --> 00:17:05,630
like a recombinant protein that you or a
dead virus you know attenuated virus
834
00:17:05,630 --> 00:17:05,640
dead virus you know attenuated virus
835
00:17:05,640 --> 00:17:07,590
dead virus you know attenuated virus
produced in in ch cells or something
836
00:17:07,590 --> 00:17:07,600
produced in in ch cells or something
837
00:17:07,600 --> 00:17:10,590
produced in in ch cells or something
like that and the DNA that might be in
838
00:17:10,590 --> 00:17:10,600
like that and the DNA that might be in
839
00:17:10,600 --> 00:17:13,590
like that and the DNA that might be in
it is naked DNA and you might have a
840
00:17:13,590 --> 00:17:13,600
it is naked DNA and you might have a
841
00:17:13,600 --> 00:17:15,870
it is naked DNA and you might have a
little bit in the vaccine that's not a
842
00:17:15,870 --> 00:17:15,880
little bit in the vaccine that's not a
843
00:17:15,880 --> 00:17:18,710
little bit in the vaccine that's not a
problem because naked DNA gets chewed up
844
00:17:18,710 --> 00:17:18,720
problem because naked DNA gets chewed up
845
00:17:18,720 --> 00:17:20,829
problem because naked DNA gets chewed up
immediately upon vaccination and there's
846
00:17:20,829 --> 00:17:20,839
immediately upon vaccination and there's
847
00:17:20,839 --> 00:17:22,470
immediately upon vaccination and there's
no real mechanism for it to get inside
848
00:17:22,470 --> 00:17:22,480
no real mechanism for it to get inside
849
00:17:22,480 --> 00:17:25,110
no real mechanism for it to get inside
to cells they inappropriately applied
850
00:17:25,110 --> 00:17:25,120
to cells they inappropriately applied
851
00:17:25,120 --> 00:17:27,990
to cells they inappropriately applied
that regulatory limit to this new kind
852
00:17:27,990 --> 00:17:28,000
that regulatory limit to this new kind
853
00:17:28,000 --> 00:17:29,510
that regulatory limit to this new kind
of seene where everything is
854
00:17:29,510 --> 00:17:29,520
of seene where everything is
855
00:17:29,520 --> 00:17:31,430
of seene where everything is
encapsulated in this lipid nanoparticle
856
00:17:31,430 --> 00:17:31,440
encapsulated in this lipid nanoparticle
857
00:17:31,440 --> 00:17:34,029
encapsulated in this lipid nanoparticle
it's basically packaged in a synthetic
858
00:17:34,029 --> 00:17:34,039
it's basically packaged in a synthetic
859
00:17:34,039 --> 00:17:36,430
it's basically packaged in a synthetic
virus able to dump its contents into a
860
00:17:36,430 --> 00:17:36,440
virus able to dump its contents into a
861
00:17:36,440 --> 00:17:40,230
virus able to dump its contents into a
cell so I'm thinking handlon razor here
862
00:17:40,230 --> 00:17:40,240
cell so I'm thinking handlon razor here
863
00:17:40,240 --> 00:17:41,470
cell so I'm thinking handlon razor here
okay I don't think there was anything
864
00:17:41,470 --> 00:17:41,480
okay I don't think there was anything
865
00:17:41,480 --> 00:17:43,909
okay I don't think there was anything
nefarious here I think it was just kind
866
00:17:43,909 --> 00:17:43,919
nefarious here I think it was just kind
867
00:17:43,919 --> 00:17:47,270
nefarious here I think it was just kind
of a dumb oversight and it's going to
868
00:17:47,270 --> 00:17:47,280
of a dumb oversight and it's going to
869
00:17:47,280 --> 00:17:49,110
of a dumb oversight and it's going to
take because the financial incentives
870
00:17:49,110 --> 00:17:49,120
take because the financial incentives
871
00:17:49,120 --> 00:17:51,190
take because the financial incentives
are so great to just you know sweep it
872
00:17:51,190 --> 00:17:51,200
are so great to just you know sweep it
873
00:17:51,200 --> 00:17:53,830
are so great to just you know sweep it
under the rug and the career incentives
874
00:17:53,830 --> 00:17:53,840
under the rug and the career incentives
875
00:17:53,840 --> 00:17:55,149
under the rug and the career incentives
of people that approved this are going
876
00:17:55,149 --> 00:17:55,159
of people that approved this are going
877
00:17:55,159 --> 00:17:56,710
of people that approved this are going
to be there's nothing wrong here you
878
00:17:56,710 --> 00:17:56,720
to be there's nothing wrong here you
879
00:17:56,720 --> 00:17:57,789
to be there's nothing wrong here you
know it's going to take some
880
00:17:57,789 --> 00:17:57,799
know it's going to take some
881
00:17:57,799 --> 00:18:00,669
know it's going to take some
encouragement to make people prove that
882
00:18:00,669 --> 00:18:00,679
encouragement to make people prove that
883
00:18:00,679 --> 00:18:02,029
encouragement to make people prove that
it's
884
00:18:02,029 --> 00:18:02,039
it's
885
00:18:02,039 --> 00:18:04,750
it's
okay but I really believe this was an
886
00:18:04,750 --> 00:18:04,760
okay but I really believe this was an
887
00:18:04,760 --> 00:18:07,110
okay but I really believe this was an
inappropriate application of an old
888
00:18:07,110 --> 00:18:07,120
inappropriate application of an old
889
00:18:07,120 --> 00:18:09,310
inappropriate application of an old
school regulation to a new kind of
890
00:18:09,310 --> 00:18:09,320
school regulation to a new kind of
891
00:18:09,320 --> 00:18:11,470
school regulation to a new kind of
vaccine and who knows maybe we'll check
892
00:18:11,470 --> 00:18:11,480
vaccine and who knows maybe we'll check
893
00:18:11,480 --> 00:18:13,029
vaccine and who knows maybe we'll check
a bunch of people and we'll find out for
894
00:18:13,029 --> 00:18:13,039
a bunch of people and we'll find out for
895
00:18:13,039 --> 00:18:15,990
a bunch of people and we'll find out for
sure that this is indeed not a problem
896
00:18:15,990 --> 00:18:16,000
sure that this is indeed not a problem
897
00:18:16,000 --> 00:18:17,710
sure that this is indeed not a problem
and that will do the public good if we
898
00:18:17,710 --> 00:18:17,720
and that will do the public good if we
899
00:18:17,720 --> 00:18:19,909
and that will do the public good if we
prove that Mr
900
00:18:19,909 --> 00:18:19,919
prove that Mr
901
00:18:19,919 --> 00:18:25,789
prove that Mr
chairman Senator
902
00:18:25,789 --> 00:18:25,799
903
00:18:25,799 --> 00:18:28,870
cash Dr we
904
00:18:28,870 --> 00:18:28,880
cash Dr we
905
00:18:28,880 --> 00:18:30,149
cash Dr we
uh
906
00:18:30,149 --> 00:18:30,159
uh
907
00:18:30,159 --> 00:18:32,149
uh
appreciate all that you're saying
908
00:18:32,149 --> 00:18:32,159
appreciate all that you're saying
909
00:18:32,159 --> 00:18:33,630
appreciate all that you're saying
although we don't understand most of
910
00:18:33,630 --> 00:18:33,640
although we don't understand most of
911
00:18:33,640 --> 00:18:36,149
although we don't understand most of
what you're saying sorry I have a
912
00:18:36,149 --> 00:18:36,159
what you're saying sorry I have a
913
00:18:36,159 --> 00:18:37,669
what you're saying sorry I have a
limited amount of time someone down
914
00:18:37,669 --> 00:18:37,679
limited amount of time someone down
915
00:18:37,679 --> 00:18:39,270
limited amount of time someone down
there agreeing a lot so you must have
916
00:18:39,270 --> 00:18:39,280
there agreeing a lot so you must have
917
00:18:39,280 --> 00:18:44,350
there agreeing a lot so you must have
been a chemistry major or something but
918
00:18:44,350 --> 00:18:44,360
919
00:18:44,360 --> 00:18:47,350
um what what is going to help us is to
920
00:18:47,350 --> 00:18:47,360
um what what is going to help us is to
921
00:18:47,360 --> 00:18:49,669
um what what is going to help us is to
know what what you can do like checking
922
00:18:49,669 --> 00:18:49,679
know what what you can do like checking
923
00:18:49,679 --> 00:18:51,909
know what what you can do like checking
a bunch of vaccinated people of course
924
00:18:51,909 --> 00:18:51,919
a bunch of vaccinated people of course
925
00:18:51,919 --> 00:18:56,350
a bunch of vaccinated people of course
that's what I can do right but we are
926
00:18:56,350 --> 00:18:56,360
that's what I can do right but we are
927
00:18:56,360 --> 00:18:58,029
that's what I can do right but we are
are not going to have any authority over
928
00:18:58,029 --> 00:18:58,039
are not going to have any authority over
929
00:18:58,039 --> 00:19:00,149
are not going to have any authority over
the
930
00:19:00,149 --> 00:19:00,159
the
931
00:19:00,159 --> 00:19:04,110
the
FDA to force fizer to do something I
932
00:19:04,110 --> 00:19:04,120
FDA to force fizer to do something I
933
00:19:04,120 --> 00:19:07,549
FDA to force fizer to do something I
mean that's a federal issue uh yes
934
00:19:07,549 --> 00:19:07,559
mean that's a federal issue uh yes
935
00:19:07,559 --> 00:19:09,230
mean that's a federal issue uh yes
unless you can explain to me how we
936
00:19:09,230 --> 00:19:09,240
unless you can explain to me how we
937
00:19:09,240 --> 00:19:11,990
unless you can explain to me how we
could do something at a state level you
938
00:19:11,990 --> 00:19:12,000
could do something at a state level you
939
00:19:12,000 --> 00:19:13,470
could do something at a state level you
know some of this is going to have to be
940
00:19:13,470 --> 00:19:13,480
know some of this is going to have to be
941
00:19:13,480 --> 00:19:17,510
know some of this is going to have to be
taken up by our Congressman right so
942
00:19:17,510 --> 00:19:17,520
taken up by our Congressman right so
943
00:19:17,520 --> 00:19:19,549
taken up by our Congressman right so
just and whatever your remaining
944
00:19:19,549 --> 00:19:19,559
just and whatever your remaining
945
00:19:19,559 --> 00:19:22,110
just and whatever your remaining
comments are just keep in mind that I
946
00:19:22,110 --> 00:19:22,120
comments are just keep in mind that I
947
00:19:22,120 --> 00:19:24,470
comments are just keep in mind that I
understand what what we can do and and
948
00:19:24,470 --> 00:19:24,480
understand what what we can do and and
949
00:19:24,480 --> 00:19:26,149
understand what what we can do and and
really these technical things you're
950
00:19:26,149 --> 00:19:26,159
really these technical things you're
951
00:19:26,159 --> 00:19:27,950
really these technical things you're
throwing out us as as a senator from
952
00:19:27,950 --> 00:19:27,960
throwing out us as as a senator from
953
00:19:27,960 --> 00:19:29,310
throwing out us as as a senator from
Green has already mentioned we're going
954
00:19:29,310 --> 00:19:29,320
Green has already mentioned we're going
955
00:19:29,320 --> 00:19:31,710
Green has already mentioned we're going
to throw right back at you because
956
00:19:31,710 --> 00:19:31,720
to throw right back at you because
957
00:19:31,720 --> 00:19:34,430
to throw right back at you because
there's no you're the expert so if
958
00:19:34,430 --> 00:19:34,440
there's no you're the expert so if
959
00:19:34,440 --> 00:19:35,909
there's no you're the expert so if
someone's going to do this
960
00:19:35,909 --> 00:19:35,919
someone's going to do this
961
00:19:35,919 --> 00:19:37,909
someone's going to do this
testing uh I don't know who we would
962
00:19:37,909 --> 00:19:37,919
testing uh I don't know who we would
963
00:19:37,919 --> 00:19:39,950
testing uh I don't know who we would
find to do it well other than someone
964
00:19:39,950 --> 00:19:39,960
find to do it well other than someone
965
00:19:39,960 --> 00:19:41,710
find to do it well other than someone
like you I can do it lots of other
966
00:19:41,710 --> 00:19:41,720
like you I can do it lots of other
967
00:19:41,720 --> 00:19:44,990
like you I can do it lots of other
people can do it um I've had a lot of of
968
00:19:44,990 --> 00:19:45,000
people can do it um I've had a lot of of
969
00:19:45,000 --> 00:19:47,909
people can do it um I've had a lot of of
um so coroners and pharmacists from
970
00:19:47,909 --> 00:19:47,919
um so coroners and pharmacists from
971
00:19:47,919 --> 00:19:50,230
um so coroners and pharmacists from
different states contact me I posted all
972
00:19:50,230 --> 00:19:50,240
different states contact me I posted all
973
00:19:50,240 --> 00:19:52,789
different states contact me I posted all
this on Twitter right and so people will
974
00:19:52,789 --> 00:19:52,799
this on Twitter right and so people will
975
00:19:52,799 --> 00:19:54,630
this on Twitter right and so people will
private message me and say I'd like to
976
00:19:54,630 --> 00:19:54,640
private message me and say I'd like to
977
00:19:54,640 --> 00:19:56,630
private message me and say I'd like to
send you some samples and then they say
978
00:19:56,630 --> 00:19:56,640
send you some samples and then they say
979
00:19:56,640 --> 00:19:59,190
send you some samples and then they say
oops State leg regulation will not allow
980
00:19:59,190 --> 00:19:59,200
oops State leg regulation will not allow
981
00:19:59,200 --> 00:20:01,630
oops State leg regulation will not allow
our coroner to send any samples for this
982
00:20:01,630 --> 00:20:01,640
our coroner to send any samples for this
983
00:20:01,640 --> 00:20:03,630
our coroner to send any samples for this
so there are some policy
984
00:20:03,630 --> 00:20:03,640
so there are some policy
985
00:20:03,640 --> 00:20:07,789
so there are some policy
issues that can allow this to happen or
986
00:20:07,789 --> 00:20:07,799
issues that can allow this to happen or
987
00:20:07,799 --> 00:20:09,710
issues that can allow this to happen or
impede it I don't know what they are but
988
00:20:09,710 --> 00:20:09,720
impede it I don't know what they are but
989
00:20:09,720 --> 00:20:12,270
impede it I don't know what they are but
I hear that there are mechanisms in
990
00:20:12,270 --> 00:20:12,280
I hear that there are mechanisms in
991
00:20:12,280 --> 00:20:14,149
I hear that there are mechanisms in
place that
992
00:20:14,149 --> 00:20:14,159
place that
993
00:20:14,159 --> 00:20:16,310
place that
will you know you can
994
00:20:16,310 --> 00:20:16,320
will you know you can
995
00:20:16,320 --> 00:20:19,510
will you know you can
encourage people to do things or not do
996
00:20:19,510 --> 00:20:19,520
encourage people to do things or not do
997
00:20:19,520 --> 00:20:21,070
encourage people to do things or not do
things but that's your wheelhouse not
998
00:20:21,070 --> 00:20:21,080
things but that's your wheelhouse not
999
00:20:21,080 --> 00:20:23,870
things but that's your wheelhouse not
mine all I can tell you is what I found
1000
00:20:23,870 --> 00:20:23,880
mine all I can tell you is what I found
1001
00:20:23,880 --> 00:20:26,230
mine all I can tell you is what I found
in the lab and the scientific
1002
00:20:26,230 --> 00:20:26,240
in the lab and the scientific
1003
00:20:26,240 --> 00:20:28,549
in the lab and the scientific
implications of it the policy implic and
1004
00:20:28,549 --> 00:20:28,559
implications of it the policy implic and
1005
00:20:28,559 --> 00:20:30,789
implications of it the policy implic and
what to do it is out of my it's above my
1006
00:20:30,789 --> 00:20:30,799
what to do it is out of my it's above my
1007
00:20:30,799 --> 00:20:31,549
what to do it is out of my it's above my
pay
1008
00:20:31,549 --> 00:20:31,559
pay
1009
00:20:31,559 --> 00:20:34,789
pay
grade Senator Garrett thank you for
1010
00:20:34,789 --> 00:20:34,799
grade Senator Garrett thank you for
1011
00:20:34,799 --> 00:20:37,149
grade Senator Garrett thank you for
coming today um I think I followed most
1012
00:20:37,149 --> 00:20:37,159
coming today um I think I followed most
1013
00:20:37,159 --> 00:20:39,510
coming today um I think I followed most
of what you said President Biden said
1014
00:20:39,510 --> 00:20:39,520
of what you said President Biden said
1015
00:20:39,520 --> 00:20:41,909
of what you said President Biden said
the other day that there was a new coid
1016
00:20:41,909 --> 00:20:41,919
the other day that there was a new coid
1017
00:20:41,919 --> 00:20:44,590
the other day that there was a new coid
vaccine that and this one really
1018
00:20:44,590 --> 00:20:44,600
vaccine that and this one really
1019
00:20:44,600 --> 00:20:47,230
vaccine that and this one really
works um there's no evidence to that as
1020
00:20:47,230 --> 00:20:47,240
works um there's no evidence to that as
1021
00:20:47,240 --> 00:20:48,990
works um there's no evidence to that as
far as I can tell I I understand that
1022
00:20:48,990 --> 00:20:49,000
far as I can tell I I understand that
1023
00:20:49,000 --> 00:20:50,990
far as I can tell I I understand that
and that's why I'm asking this question
1024
00:20:50,990 --> 00:20:51,000
and that's why I'm asking this question
1025
00:20:51,000 --> 00:20:52,510
and that's why I'm asking this question
is there some way you could get a hold
1026
00:20:52,510 --> 00:20:52,520
is there some way you could get a hold
1027
00:20:52,520 --> 00:20:55,110
is there some way you could get a hold
of one of those and do the do the same
1028
00:20:55,110 --> 00:20:55,120
of one of those and do the do the same
1029
00:20:55,120 --> 00:20:57,470
of one of those and do the do the same
study that you did on these vials to
1030
00:20:57,470 --> 00:20:57,480
study that you did on these vials to
1031
00:20:57,480 --> 00:20:58,909
study that you did on these vials to
make sure
1032
00:20:58,909 --> 00:20:58,919
make sure
1033
00:20:58,919 --> 00:21:00,630
make sure
that we're not using that that DNA
1034
00:21:00,630 --> 00:21:00,640
that we're not using that that DNA
1035
00:21:00,640 --> 00:21:03,830
that we're not using that that DNA
protein or whatever it is the DNA that
1036
00:21:03,830 --> 00:21:03,840
protein or whatever it is the DNA that
1037
00:21:03,840 --> 00:21:06,070
protein or whatever it is the DNA that
that that we don't need in to be
1038
00:21:06,070 --> 00:21:06,080
that that we don't need in to be
1039
00:21:06,080 --> 00:21:08,390
that that we don't need in to be
injected into these uh to our
1040
00:21:08,390 --> 00:21:08,400
injected into these uh to our
1041
00:21:08,400 --> 00:21:10,510
injected into these uh to our
constituents I would like to do that and
1042
00:21:10,510 --> 00:21:10,520
constituents I would like to do that and
1043
00:21:10,520 --> 00:21:12,470
constituents I would like to do that and
I will not get it unless I get a batch
1044
00:21:12,470 --> 00:21:12,480
I will not get it unless I get a batch
1045
00:21:12,480 --> 00:21:14,470
I will not get it unless I get a batch
and and find out that it's free of DNA
1046
00:21:14,470 --> 00:21:14,480
and and find out that it's free of DNA
1047
00:21:14,480 --> 00:21:16,669
and and find out that it's free of DNA
and then I'll take it myself but I don't
1048
00:21:16,669 --> 00:21:16,679
and then I'll take it myself but I don't
1049
00:21:16,679 --> 00:21:17,950
and then I'll take it myself but I don't
I don't have any way of compelling that
1050
00:21:17,950 --> 00:21:17,960
I don't have any way of compelling that
1051
00:21:17,960 --> 00:21:20,269
I don't have any way of compelling that
to happen so it was just basically a way
1052
00:21:20,269 --> 00:21:20,279
to happen so it was just basically a way
1053
00:21:20,279 --> 00:21:22,789
to happen so it was just basically a way
to save money by by doing it in such
1054
00:21:22,789 --> 00:21:22,799
to save money by by doing it in such
1055
00:21:22,799 --> 00:21:26,029
to save money by by doing it in such
volume that way without then taking it
1056
00:21:26,029 --> 00:21:26,039
volume that way without then taking it
1057
00:21:26,039 --> 00:21:30,590
volume that way without then taking it
back out later on
1058
00:21:30,590 --> 00:21:30,600
1059
00:21:30,600 --> 00:21:32,990
I think nobody thought about it I I
1060
00:21:32,990 --> 00:21:33,000
I think nobody thought about it I I
1061
00:21:33,000 --> 00:21:35,549
I think nobody thought about it I I
think it was reasonable to use the eoli
1062
00:21:35,549 --> 00:21:35,559
think it was reasonable to use the eoli
1063
00:21:35,559 --> 00:21:37,950
think it was reasonable to use the eoli
to blow up the plasma to make the stuff
1064
00:21:37,950 --> 00:21:37,960
to blow up the plasma to make the stuff
1065
00:21:37,960 --> 00:21:41,190
to blow up the plasma to make the stuff
and then the the pieces of the DNA are
1066
00:21:41,190 --> 00:21:41,200
and then the the pieces of the DNA are
1067
00:21:41,200 --> 00:21:44,310
and then the the pieces of the DNA are
of a very uniform and small size that's
1068
00:21:44,310 --> 00:21:44,320
of a very uniform and small size that's
1069
00:21:44,320 --> 00:21:46,110
of a very uniform and small size that's
evidence that they took efforts to try
1070
00:21:46,110 --> 00:21:46,120
evidence that they took efforts to try
1071
00:21:46,120 --> 00:21:47,310
evidence that they took efforts to try
to chop it
1072
00:21:47,310 --> 00:21:47,320
to chop it
1073
00:21:47,320 --> 00:21:50,669
to chop it
up and then they knew about it yeah yeah
1074
00:21:50,669 --> 00:21:50,679
up and then they knew about it yeah yeah
1075
00:21:50,679 --> 00:21:52,269
up and then they knew about it yeah yeah
they knew it and they took efforts to
1076
00:21:52,269 --> 00:21:52,279
they knew it and they took efforts to
1077
00:21:52,279 --> 00:21:53,750
they knew it and they took efforts to
chop it up they just didn't get it all
1078
00:21:53,750 --> 00:21:53,760
chop it up they just didn't get it all
1079
00:21:53,760 --> 00:21:57,430
chop it up they just didn't get it all
out but but having said that I guess
1080
00:21:57,430 --> 00:21:57,440
out but but having said that I guess
1081
00:21:57,440 --> 00:21:58,830
out but but having said that I guess
that they just didn't didn't think about
1082
00:21:58,830 --> 00:21:58,840
that they just didn't didn't think about
1083
00:21:58,840 --> 00:22:01,149
that they just didn't didn't think about
the the hazard for genome modification
1084
00:22:01,149 --> 00:22:01,159
the the hazard for genome modification
1085
00:22:01,159 --> 00:22:03,630
the the hazard for genome modification
cuz it's not all that expensive to add
1086
00:22:03,630 --> 00:22:03,640
cuz it's not all that expensive to add
1087
00:22:03,640 --> 00:22:05,789
cuz it's not all that expensive to add
another process to get it out well
1088
00:22:05,789 --> 00:22:05,799
another process to get it out well
1089
00:22:05,799 --> 00:22:07,990
another process to get it out well
that's what I'm saying it
1090
00:22:07,990 --> 00:22:08,000
that's what I'm saying it
1091
00:22:08,000 --> 00:22:10,430
that's what I'm saying it
it you know I can't get inside their
1092
00:22:10,430 --> 00:22:10,440
it you know I can't get inside their
1093
00:22:10,440 --> 00:22:12,350
it you know I can't get inside their
mind rushed too much and that's why I'm
1094
00:22:12,350 --> 00:22:12,360
mind rushed too much and that's why I'm
1095
00:22:12,360 --> 00:22:14,149
mind rushed too much and that's why I'm
saying these subsequent you know we've
1096
00:22:14,149 --> 00:22:14,159
saying these subsequent you know we've
1097
00:22:14,159 --> 00:22:15,789
saying these subsequent you know we've
heard testimony these subsequent you
1098
00:22:15,789 --> 00:22:15,799
heard testimony these subsequent you
1099
00:22:15,799 --> 00:22:20,029
heard testimony these subsequent you
know variant subsequent boosters etc etc
1100
00:22:20,029 --> 00:22:20,039
know variant subsequent boosters etc etc
1101
00:22:20,039 --> 00:22:23,470
know variant subsequent boosters etc etc
are leading to maybe not scientific yet
1102
00:22:23,470 --> 00:22:23,480
are leading to maybe not scientific yet
1103
00:22:23,480 --> 00:22:25,990
are leading to maybe not scientific yet
but at least collateral knowledge that
1104
00:22:25,990 --> 00:22:26,000
but at least collateral knowledge that
1105
00:22:26,000 --> 00:22:28,110
but at least collateral knowledge that
it apparently these things are causing
1106
00:22:28,110 --> 00:22:28,120
it apparently these things are causing
1107
00:22:28,120 --> 00:22:31,470
it apparently these things are causing
death and disability later on and also
1108
00:22:31,470 --> 00:22:31,480
death and disability later on and also
1109
00:22:31,480 --> 00:22:33,110
death and disability later on and also
the aging process which you heard about
1110
00:22:33,110 --> 00:22:33,120
the aging process which you heard about
1111
00:22:33,120 --> 00:22:34,870
the aging process which you heard about
a few minut there's a lot of suspicious
1112
00:22:34,870 --> 00:22:34,880
a few minut there's a lot of suspicious
1113
00:22:34,880 --> 00:22:37,470
a few minut there's a lot of suspicious
associations but I but it seems to me
1114
00:22:37,470 --> 00:22:37,480
associations but I but it seems to me
1115
00:22:37,480 --> 00:22:40,390
associations but I but it seems to me
that that before we can in South
1116
00:22:40,390 --> 00:22:40,400
that that before we can in South
1117
00:22:40,400 --> 00:22:43,470
that that before we can in South
Carolina you know give this new vaccine
1118
00:22:43,470 --> 00:22:43,480
Carolina you know give this new vaccine
1119
00:22:43,480 --> 00:22:46,669
Carolina you know give this new vaccine
a world around here seems to me that
1120
00:22:46,669 --> 00:22:46,679
a world around here seems to me that
1121
00:22:46,679 --> 00:22:48,269
a world around here seems to me that
that our people ought to be able to look
1122
00:22:48,269 --> 00:22:48,279
that our people ought to be able to look
1123
00:22:48,279 --> 00:22:50,430
that our people ought to be able to look
at that Mr chairman and see whether or
1124
00:22:50,430 --> 00:22:50,440
at that Mr chairman and see whether or
1125
00:22:50,440 --> 00:22:52,870
at that Mr chairman and see whether or
not it's got this DNA and if it does
1126
00:22:52,870 --> 00:22:52,880
not it's got this DNA and if it does
1127
00:22:52,880 --> 00:22:54,909
not it's got this DNA and if it does
fine tell everybody that's got the DNA
1128
00:22:54,909 --> 00:22:54,919
fine tell everybody that's got the DNA
1129
00:22:54,919 --> 00:22:56,669
fine tell everybody that's got the DNA
and the and the problems associated
1130
00:22:56,669 --> 00:22:56,679
and the and the problems associated
1131
00:22:56,679 --> 00:22:58,950
and the and the problems associated
there with then you got informed consent
1132
00:22:58,950 --> 00:22:58,960
there with then you got informed consent
1133
00:22:58,960 --> 00:23:01,549
there with then you got informed consent
correct okay but without that we don't
1134
00:23:01,549 --> 00:23:01,559
correct okay but without that we don't
1135
00:23:01,559 --> 00:23:03,789
correct okay but without that we don't
haveed I'm not I'm not really happy
1136
00:23:03,789 --> 00:23:03,799
haveed I'm not I'm not really happy
1137
00:23:03,799 --> 00:23:06,110
haveed I'm not I'm not really happy
about that Mr chairman and do what I can
1138
00:23:06,110 --> 00:23:06,120
about that Mr chairman and do what I can
1139
00:23:06,120 --> 00:23:09,510
about that Mr chairman and do what I can
to try to help knowing what I otherwise
1140
00:23:09,510 --> 00:23:09,520
to try to help knowing what I otherwise
1141
00:23:09,520 --> 00:23:11,830
to try to help knowing what I otherwise
knowing what I know now about this I
1142
00:23:11,830 --> 00:23:11,840
knowing what I know now about this I
1143
00:23:11,840 --> 00:23:13,630
knowing what I know now about this I
would still have recommended it to my
1144
00:23:13,630 --> 00:23:13,640
would still have recommended it to my
1145
00:23:13,640 --> 00:23:16,029
would still have recommended it to my
elderly parents okay but I probably
1146
00:23:16,029 --> 00:23:16,039
elderly parents okay but I probably
1147
00:23:16,039 --> 00:23:18,029
elderly parents okay but I probably
would not have given it to my daughters
1148
00:23:18,029 --> 00:23:18,039
would not have given it to my daughters
1149
00:23:18,039 --> 00:23:20,909
would not have given it to my daughters
okay and I I feel like my consent was
1150
00:23:20,909 --> 00:23:20,919
okay and I I feel like my consent was
1151
00:23:20,919 --> 00:23:23,710
okay and I I feel like my consent was
not as informed as it should have been
1152
00:23:23,710 --> 00:23:23,720
not as informed as it should have been
1153
00:23:23,720 --> 00:23:27,549
not as informed as it should have been
thank you yeah represent Morgan I almost
1154
00:23:27,549 --> 00:23:27,559
thank you yeah represent Morgan I almost
1155
00:23:27,559 --> 00:23:29,590
thank you yeah represent Morgan I almost
don't know where to start I'm I'm trying
1156
00:23:29,590 --> 00:23:29,600
don't know where to start I'm I'm trying
1157
00:23:29,600 --> 00:23:31,669
don't know where to start I'm I'm trying
not to talk because we're it's a hearing
1158
00:23:31,669 --> 00:23:31,679
not to talk because we're it's a hearing
1159
00:23:31,679 --> 00:23:33,390
not to talk because we're it's a hearing
and we want to hear you but you have
1160
00:23:33,390 --> 00:23:33,400
and we want to hear you but you have
1161
00:23:33,400 --> 00:23:36,070
and we want to hear you but you have
made so many questions come to my mind
1162
00:23:36,070 --> 00:23:36,080
made so many questions come to my mind
1163
00:23:36,080 --> 00:23:37,710
made so many questions come to my mind
um and one I should know but I don't
1164
00:23:37,710 --> 00:23:37,720
um and one I should know but I don't
1165
00:23:37,720 --> 00:23:39,750
um and one I should know but I don't
remember what percentage of vaccinated
1166
00:23:39,750 --> 00:23:39,760
remember what percentage of vaccinated
1167
00:23:39,760 --> 00:23:42,149
remember what percentage of vaccinated
people had this kind of vaccination do
1168
00:23:42,149 --> 00:23:42,159
people had this kind of vaccination do
1169
00:23:42,159 --> 00:23:43,710
people had this kind of vaccination do
you know off the top of your head like
1170
00:23:43,710 --> 00:23:43,720
you know off the top of your head like
1171
00:23:43,720 --> 00:23:45,390
you know off the top of your head like
the majority of people that took the
1172
00:23:45,390 --> 00:23:45,400
the majority of people that took the
1173
00:23:45,400 --> 00:23:46,669
the majority of people that took the
vaccine have this type because weren't
1174
00:23:46,669 --> 00:23:46,679
vaccine have this type because weren't
1175
00:23:46,679 --> 00:23:48,350
vaccine have this type because weren't
there multiple types of vaccinations you
1176
00:23:48,350 --> 00:23:48,360
there multiple types of vaccinations you
1177
00:23:48,360 --> 00:23:50,669
there multiple types of vaccinations you
could take the vast majority of people
1178
00:23:50,669 --> 00:23:50,679
could take the vast majority of people
1179
00:23:50,679 --> 00:23:53,029
could take the vast majority of people
got either fiser or Mna and and we're
1180
00:23:53,029 --> 00:23:53,039
got either fiser or Mna and and we're
1181
00:23:53,039 --> 00:23:54,549
got either fiser or Mna and and we're
talking about the F I'm talking about
1182
00:23:54,549 --> 00:23:54,559
talking about the F I'm talking about
1183
00:23:54,559 --> 00:23:57,269
talking about the F I'm talking about
fizer my colleagues have looked at madna
1184
00:23:57,269 --> 00:23:57,279
fizer my colleagues have looked at madna
1185
00:23:57,279 --> 00:23:59,549
fizer my colleagues have looked at madna
and it's in madna 2o in the few that
1186
00:23:59,549 --> 00:23:59,559
and it's in madna 2o in the few that
1187
00:23:59,559 --> 00:24:01,149
and it's in madna 2o in the few that
we've looked at it's just not quite as
1188
00:24:01,149 --> 00:24:01,159
we've looked at it's just not quite as
1189
00:24:01,159 --> 00:24:04,789
we've looked at it's just not quite as
high okay wow um with so you were here
1190
00:24:04,789 --> 00:24:04,799
high okay wow um with so you were here
1191
00:24:04,799 --> 00:24:07,230
high okay wow um with so you were here
today and you've come to present and you
1192
00:24:07,230 --> 00:24:07,240
today and you've come to present and you
1193
00:24:07,240 --> 00:24:09,430
today and you've come to present and you
notice this where could you have gone if
1194
00:24:09,430 --> 00:24:09,440
notice this where could you have gone if
1195
00:24:09,440 --> 00:24:11,430
notice this where could you have gone if
we didn't have this kind of ad hoc
1196
00:24:11,430 --> 00:24:11,440
we didn't have this kind of ad hoc
1197
00:24:11,440 --> 00:24:14,630
we didn't have this kind of ad hoc
hearing for this to come Twitter so
1198
00:24:14,630 --> 00:24:14,640
hearing for this to come Twitter so
1199
00:24:14,640 --> 00:24:17,630
hearing for this to come Twitter so
there's no deck there's no way for you
1200
00:24:17,630 --> 00:24:17,640
there's no deck there's no way for you
1201
00:24:17,640 --> 00:24:20,669
there's no deck there's no way for you
even at your level of expertise to say
1202
00:24:20,669 --> 00:24:20,679
even at your level of expertise to say
1203
00:24:20,679 --> 00:24:24,430
even at your level of expertise to say
hey red flag I I email I emailed the FDA
1204
00:24:24,430 --> 00:24:24,440
hey red flag I I email I emailed the FDA
1205
00:24:24,440 --> 00:24:26,310
hey red flag I I email I emailed the FDA
and I tweeted at them that's about the
1206
00:24:26,310 --> 00:24:26,320
and I tweeted at them that's about the
1207
00:24:26,320 --> 00:24:29,350
and I tweeted at them that's about the
extent of my resources
1208
00:24:29,350 --> 00:24:29,360
extent of my resources
1209
00:24:29,360 --> 00:24:31,110
extent of my resources
it's just fascinating to me that in a in
1210
00:24:31,110 --> 00:24:31,120
it's just fascinating to me that in a in
1211
00:24:31,120 --> 00:24:32,789
it's just fascinating to me that in a in
the state that we don't have some kind
1212
00:24:32,789 --> 00:24:32,799
the state that we don't have some kind
1213
00:24:32,799 --> 00:24:35,110
the state that we don't have some kind
of um I guess it goes to kind of the
1214
00:24:35,110 --> 00:24:35,120
of um I guess it goes to kind of the
1215
00:24:35,120 --> 00:24:36,590
of um I guess it goes to kind of the
entire thing that we're talking about is
1216
00:24:36,590 --> 00:24:36,600
entire thing that we're talking about is
1217
00:24:36,600 --> 00:24:40,190
entire thing that we're talking about is
that our state agency should have more
1218
00:24:40,190 --> 00:24:40,200
that our state agency should have more
1219
00:24:40,200 --> 00:24:42,549
that our state agency should have more
focus on our citizens health and you
1220
00:24:42,549 --> 00:24:42,559
focus on our citizens health and you
1221
00:24:42,559 --> 00:24:44,630
focus on our citizens health and you
know great CDC can send us stuff but
1222
00:24:44,630 --> 00:24:44,640
know great CDC can send us stuff but
1223
00:24:44,640 --> 00:24:46,310
know great CDC can send us stuff but
we'll make the decision and and there
1224
00:24:46,310 --> 00:24:46,320
we'll make the decision and and there
1225
00:24:46,320 --> 00:24:48,990
we'll make the decision and and there
should be a way for especially at your
1226
00:24:48,990 --> 00:24:49,000
should be a way for especially at your
1227
00:24:49,000 --> 00:24:52,190
should be a way for especially at your
level to get input to dhack when you
1228
00:24:52,190 --> 00:24:52,200
level to get input to dhack when you
1229
00:24:52,200 --> 00:24:54,269
level to get input to dhack when you
notice something like this immediately
1230
00:24:54,269 --> 00:24:54,279
notice something like this immediately
1231
00:24:54,279 --> 00:24:55,830
notice something like this immediately
and say hey deck you should consider
1232
00:24:55,830 --> 00:24:55,840
and say hey deck you should consider
1233
00:24:55,840 --> 00:24:57,310
and say hey deck you should consider
this and then they can come and tell us
1234
00:24:57,310 --> 00:24:57,320
this and then they can come and tell us
1235
00:24:57,320 --> 00:24:58,510
this and then they can come and tell us
immediately
1236
00:24:58,510 --> 00:24:58,520
immediately
1237
00:24:58,520 --> 00:25:00,110
immediately
hey we need to get authorization you
1238
00:25:00,110 --> 00:25:00,120
hey we need to get authorization you
1239
00:25:00,120 --> 00:25:01,669
hey we need to get authorization you
need to change this regulation to look
1240
00:25:01,669 --> 00:25:01,679
need to change this regulation to look
1241
00:25:01,679 --> 00:25:03,470
need to change this regulation to look
into this and it just seems like we'
1242
00:25:03,470 --> 00:25:03,480
into this and it just seems like we'
1243
00:25:03,480 --> 00:25:04,870
into this and it just seems like we'
totally dropped the ball in every
1244
00:25:04,870 --> 00:25:04,880
totally dropped the ball in every
1245
00:25:04,880 --> 00:25:08,710
totally dropped the ball in every
direction with the state prioritizing um
1246
00:25:08,710 --> 00:25:08,720
direction with the state prioritizing um
1247
00:25:08,720 --> 00:25:10,110
direction with the state prioritizing um
you know our decision- making on this
1248
00:25:10,110 --> 00:25:10,120
you know our decision- making on this
1249
00:25:10,120 --> 00:25:11,630
you know our decision- making on this
kind of stuff and and investigating into
1250
00:25:11,630 --> 00:25:11,640
kind of stuff and and investigating into
1251
00:25:11,640 --> 00:25:13,750
kind of stuff and and investigating into
it just letting the you know the federal
1252
00:25:13,750 --> 00:25:13,760
it just letting the you know the federal
1253
00:25:13,760 --> 00:25:16,310
it just letting the you know the federal
government take it and do a terrible job
1254
00:25:16,310 --> 00:25:16,320
government take it and do a terrible job
1255
00:25:16,320 --> 00:25:17,950
government take it and do a terrible job
so I had a lot of experience with DC
1256
00:25:17,950 --> 00:25:17,960
so I had a lot of experience with DC
1257
00:25:17,960 --> 00:25:21,110
so I had a lot of experience with DC
rolling out the saliva test okay so we
1258
00:25:21,110 --> 00:25:21,120
rolling out the saliva test okay so we
1259
00:25:21,120 --> 00:25:23,230
rolling out the saliva test okay so we
invented the saliva test and then we had
1260
00:25:23,230 --> 00:25:23,240
invented the saliva test and then we had
1261
00:25:23,240 --> 00:25:25,789
invented the saliva test and then we had
to deal with DEC to try to get it rolled
1262
00:25:25,789 --> 00:25:25,799
to deal with DEC to try to get it rolled
1263
00:25:25,799 --> 00:25:27,909
to deal with DEC to try to get it rolled
out for the state and it appear appear
1264
00:25:27,909 --> 00:25:27,919
out for the state and it appear appear
1265
00:25:27,919 --> 00:25:30,190
out for the state and it appear appear
to me that they were just
1266
00:25:30,190 --> 00:25:30,200
to me that they were just
1267
00:25:30,200 --> 00:25:33,750
to me that they were just
overrun they weren't prepared for what
1268
00:25:33,750 --> 00:25:33,760
overrun they weren't prepared for what
1269
00:25:33,760 --> 00:25:35,830
overrun they weren't prepared for what
this pandemic was through there's no
1270
00:25:35,830 --> 00:25:35,840
this pandemic was through there's no
1271
00:25:35,840 --> 00:25:38,269
this pandemic was through there's no
fault of theirs I thought I I told
1272
00:25:38,269 --> 00:25:38,279
fault of theirs I thought I I told
1273
00:25:38,279 --> 00:25:39,990
fault of theirs I thought I I told
people at the time that I felt like
1274
00:25:39,990 --> 00:25:40,000
people at the time that I felt like
1275
00:25:40,000 --> 00:25:41,710
people at the time that I felt like
these were Hobbits in the Shire that
1276
00:25:41,710 --> 00:25:41,720
these were Hobbits in the Shire that
1277
00:25:41,720 --> 00:25:44,029
these were Hobbits in the Shire that
were you know accustomed to take care of
1278
00:25:44,029 --> 00:25:44,039
were you know accustomed to take care of
1279
00:25:44,039 --> 00:25:45,269
were you know accustomed to take care of
small problems and now of a sudden we're
1280
00:25:45,269 --> 00:25:45,279
small problems and now of a sudden we're
1281
00:25:45,279 --> 00:25:46,669
small problems and now of a sudden we're
in the war of the ring and there are
1282
00:25:46,669 --> 00:25:46,679
in the war of the ring and there are
1283
00:25:46,679 --> 00:25:48,230
in the war of the ring and there are
Orcs at the gate and we're expecting
1284
00:25:48,230 --> 00:25:48,240
Orcs at the gate and we're expecting
1285
00:25:48,240 --> 00:25:50,470
Orcs at the gate and we're expecting
them to deal with this tremendous
1286
00:25:50,470 --> 00:25:50,480
them to deal with this tremendous
1287
00:25:50,480 --> 00:25:53,549
them to deal with this tremendous
Challenge and that's not who we put
1288
00:25:53,549 --> 00:25:53,559
Challenge and that's not who we put
1289
00:25:53,559 --> 00:25:55,710
Challenge and that's not who we put
there and that's not their fault I mean
1290
00:25:55,710 --> 00:25:55,720
there and that's not their fault I mean
1291
00:25:55,720 --> 00:25:58,510
there and that's not their fault I mean
it's just we were not prepared to handle
1292
00:25:58,510 --> 00:25:58,520
it's just we were not prepared to handle
1293
00:25:58,520 --> 00:26:00,029
it's just we were not prepared to handle
something of this magnitude so some
1294
00:26:00,029 --> 00:26:00,039
something of this magnitude so some
1295
00:26:00,039 --> 00:26:02,350
something of this magnitude so some
amount of Grace I think is appropriate
1296
00:26:02,350 --> 00:26:02,360
amount of Grace I think is appropriate
1297
00:26:02,360 --> 00:26:03,950
amount of Grace I think is appropriate
even though we could do better next time
1298
00:26:03,950 --> 00:26:03,960
even though we could do better next time
1299
00:26:03,960 --> 00:26:06,350
even though we could do better next time
by beefing up who's guarding the gates
1300
00:26:06,350 --> 00:26:06,360
by beefing up who's guarding the gates
1301
00:26:06,360 --> 00:26:10,269
by beefing up who's guarding the gates
if you if you had a tomorrow fixes to
1302
00:26:10,269 --> 00:26:10,279
if you if you had a tomorrow fixes to
1303
00:26:10,279 --> 00:26:14,470
if you if you had a tomorrow fixes to
the system what would they be that we
1304
00:26:14,470 --> 00:26:14,480
the system what would they be that we
1305
00:26:14,480 --> 00:26:17,230
the system what would they be that we
could I mean since you lived it and and
1306
00:26:17,230 --> 00:26:17,240
could I mean since you lived it and and
1307
00:26:17,240 --> 00:26:19,710
could I mean since you lived it and and
saw based on the research should we have
1308
00:26:19,710 --> 00:26:19,720
saw based on the research should we have
1309
00:26:19,720 --> 00:26:21,710
saw based on the research should we have
somebody actually checking up especially
1310
00:26:21,710 --> 00:26:21,720
somebody actually checking up especially
1311
00:26:21,720 --> 00:26:23,590
somebody actually checking up especially
on something that is being pushed
1312
00:26:23,590 --> 00:26:23,600
on something that is being pushed
1313
00:26:23,600 --> 00:26:25,630
on something that is being pushed
Statewide I mean State resources are
1314
00:26:25,630 --> 00:26:25,640
Statewide I mean State resources are
1315
00:26:25,640 --> 00:26:27,669
Statewide I mean State resources are
being used saying to take this vaccine
1316
00:26:27,669 --> 00:26:27,679
being used saying to take this vaccine
1317
00:26:27,679 --> 00:26:29,789
being used saying to take this vaccine
to hire people that are qualified to
1318
00:26:29,789 --> 00:26:29,799
to hire people that are qualified to
1319
00:26:29,799 --> 00:26:31,669
to hire people that are qualified to
tell the feds
1320
00:26:31,669 --> 00:26:31,679
tell the feds
1321
00:26:31,679 --> 00:26:34,350
tell the feds
no and that's not what we do here
1322
00:26:34,350 --> 00:26:34,360
no and that's not what we do here
1323
00:26:34,360 --> 00:26:37,269
no and that's not what we do here
usually in South Carolina we hire people
1324
00:26:37,269 --> 00:26:37,279
usually in South Carolina we hire people
1325
00:26:37,279 --> 00:26:38,990
usually in South Carolina we hire people
sometimes we say to the no to the feds
1326
00:26:38,990 --> 00:26:39,000
sometimes we say to the no to the feds
1327
00:26:39,000 --> 00:26:40,190
sometimes we say to the no to the feds
just to be ordinary because that's our
1328
00:26:40,190 --> 00:26:40,200
just to be ordinary because that's our
1329
00:26:40,200 --> 00:26:42,870
just to be ordinary because that's our
culture in South Carolina but many times
1330
00:26:42,870 --> 00:26:42,880
culture in South Carolina but many times
1331
00:26:42,880 --> 00:26:44,430
culture in South Carolina but many times
we say well I don't know what do other
1332
00:26:44,430 --> 00:26:44,440
we say well I don't know what do other
1333
00:26:44,440 --> 00:26:46,870
we say well I don't know what do other
people do and we hire people all over
1334
00:26:46,870 --> 00:26:46,880
people do and we hire people all over
1335
00:26:46,880 --> 00:26:49,230
people do and we hire people all over
that they ask well what does Clemson do
1336
00:26:49,230 --> 00:26:49,240
that they ask well what does Clemson do
1337
00:26:49,240 --> 00:26:50,830
that they ask well what does Clemson do
what does USC well what do they do over
1338
00:26:50,830 --> 00:26:50,840
what does USC well what do they do over
1339
00:26:50,840 --> 00:26:53,110
what does USC well what do they do over
in this other state instead of putting
1340
00:26:53,110 --> 00:26:53,120
in this other state instead of putting
1341
00:26:53,120 --> 00:26:55,669
in this other state instead of putting
people in place that we would have
1342
00:26:55,669 --> 00:26:55,679
people in place that we would have
1343
00:26:55,679 --> 00:26:58,669
people in place that we would have
confidence in saying no to the to
1344
00:26:58,669 --> 00:26:58,679
confidence in saying no to the to
1345
00:26:58,679 --> 00:27:01,830
confidence in saying no to the to
whatever the recommendations were we put
1346
00:27:01,830 --> 00:27:01,840
whatever the recommendations were we put
1347
00:27:01,840 --> 00:27:06,029
whatever the recommendations were we put
people in that we often encourage them
1348
00:27:06,029 --> 00:27:06,039
people in that we often encourage them
1349
00:27:06,039 --> 00:27:08,350
people in that we often encourage them
to not make too many waves and just go
1350
00:27:08,350 --> 00:27:08,360
to not make too many waves and just go
1351
00:27:08,360 --> 00:27:10,070
to not make too many waves and just go
ask the feds what they're doing and
1352
00:27:10,070 --> 00:27:10,080
ask the feds what they're doing and
1353
00:27:10,080 --> 00:27:11,470
ask the feds what they're doing and
that's not their fault that's the
1354
00:27:11,470 --> 00:27:11,480
that's not their fault that's the
1355
00:27:11,480 --> 00:27:12,669
that's not their fault that's the
culture that we
1356
00:27:12,669 --> 00:27:12,679
culture that we
1357
00:27:12,679 --> 00:27:15,149
culture that we
cultivated so I know that South Carolina
1358
00:27:15,149 --> 00:27:15,159
cultivated so I know that South Carolina
1359
00:27:15,159 --> 00:27:17,350
cultivated so I know that South Carolina
culture is no no no we're going to do
1360
00:27:17,350 --> 00:27:17,360
culture is no no no we're going to do
1361
00:27:17,360 --> 00:27:20,029
culture is no no no we're going to do
our own thing but in reality in terms of
1362
00:27:20,029 --> 00:27:20,039
our own thing but in reality in terms of
1363
00:27:20,039 --> 00:27:22,710
our own thing but in reality in terms of
actually doing stuff almost always we
1364
00:27:22,710 --> 00:27:22,720
actually doing stuff almost always we
1365
00:27:22,720 --> 00:27:23,990
actually doing stuff almost always we
people will say well what do they do
1366
00:27:23,990 --> 00:27:24,000
people will say well what do they do
1367
00:27:24,000 --> 00:27:25,909
people will say well what do they do
else in another state or what are they
1368
00:27:25,909 --> 00:27:25,919
else in another state or what are they
1369
00:27:25,919 --> 00:27:28,389
else in another state or what are they
doing at the FED level and I'll just go
1370
00:27:28,389 --> 00:27:28,399
doing at the FED level and I'll just go
1371
00:27:28,399 --> 00:27:31,870
doing at the FED level and I'll just go
along with it would it be and I'm not a
1372
00:27:31,870 --> 00:27:31,880
along with it would it be and I'm not a
1373
00:27:31,880 --> 00:27:33,310
along with it would it be and I'm not a
medical professional by any stretch
1374
00:27:33,310 --> 00:27:33,320
medical professional by any stretch
1375
00:27:33,320 --> 00:27:36,669
medical professional by any stretch
would it be realistic for anything that
1376
00:27:36,669 --> 00:27:36,679
would it be realistic for anything that
1377
00:27:36,679 --> 00:27:39,029
would it be realistic for anything that
is being promoted especially on a large
1378
00:27:39,029 --> 00:27:39,039
is being promoted especially on a large
1379
00:27:39,039 --> 00:27:41,149
is being promoted especially on a large
scale a vaccination that's you know
1380
00:27:41,149 --> 00:27:41,159
scale a vaccination that's you know
1381
00:27:41,159 --> 00:27:44,350
scale a vaccination that's you know
coming from who knows where to have it
1382
00:27:44,350 --> 00:27:44,360
coming from who knows where to have it
1383
00:27:44,360 --> 00:27:46,990
coming from who knows where to have it
be investigated by people in our state
1384
00:27:46,990 --> 00:27:47,000
be investigated by people in our state
1385
00:27:47,000 --> 00:27:49,029
be investigated by people in our state
such as yourself or is that would that
1386
00:27:49,029 --> 00:27:49,039
such as yourself or is that would that
1387
00:27:49,039 --> 00:27:51,830
such as yourself or is that would that
be too it it was reasonable to trust the
1388
00:27:51,830 --> 00:27:51,840
be too it it was reasonable to trust the
1389
00:27:51,840 --> 00:27:53,789
be too it it was reasonable to trust the
FDA even
1390
00:27:53,789 --> 00:27:53,799
FDA even
1391
00:27:53,799 --> 00:27:56,470
FDA even
though I have my doubts about their
1392
00:27:56,470 --> 00:27:56,480
though I have my doubts about their
1393
00:27:56,480 --> 00:27:58,070
though I have my doubts about their
independence now
1394
00:27:58,070 --> 00:27:58,080
independence now
1395
00:27:58,080 --> 00:28:00,830
independence now
everybody just trusted the feds to do
1396
00:28:00,830 --> 00:28:00,840
everybody just trusted the feds to do
1397
00:28:00,840 --> 00:28:03,630
everybody just trusted the feds to do
this and at the time that was kind of
1398
00:28:03,630 --> 00:28:03,640
this and at the time that was kind of
1399
00:28:03,640 --> 00:28:06,149
this and at the time that was kind of
reasonable but going forward I get
1400
00:28:06,149 --> 00:28:06,159
reasonable but going forward I get
1401
00:28:06,159 --> 00:28:07,950
reasonable but going forward I get
that's my question going forward is it
1402
00:28:07,950 --> 00:28:07,960
that's my question going forward is it
1403
00:28:07,960 --> 00:28:09,669
that's my question going forward is it
is it possible is it reasonable for us
1404
00:28:09,669 --> 00:28:09,679
is it possible is it reasonable for us
1405
00:28:09,679 --> 00:28:11,350
is it possible is it reasonable for us
to be able to have a system where we
1406
00:28:11,350 --> 00:28:11,360
to be able to have a system where we
1407
00:28:11,360 --> 00:28:13,310
to be able to have a system where we
could especially if it's being if the
1408
00:28:13,310 --> 00:28:13,320
could especially if it's being if the
1409
00:28:13,320 --> 00:28:14,750
could especially if it's being if the
taxpayer money is going to be used to
1410
00:28:14,750 --> 00:28:14,760
taxpayer money is going to be used to
1411
00:28:14,760 --> 00:28:16,669
taxpayer money is going to be used to
push it and tell people to get it that
1412
00:28:16,669 --> 00:28:16,679
push it and tell people to get it that
1413
00:28:16,679 --> 00:28:18,029
push it and tell people to get it that
we have it set up that it's
1414
00:28:18,029 --> 00:28:18,039
we have it set up that it's
1415
00:28:18,039 --> 00:28:20,310
we have it set up that it's
automatically tested basically or looked
1416
00:28:20,310 --> 00:28:20,320
automatically tested basically or looked
1417
00:28:20,320 --> 00:28:22,470
automatically tested basically or looked
into by scientists and medical
1418
00:28:22,470 --> 00:28:22,480
into by scientists and medical
1419
00:28:22,480 --> 00:28:25,149
into by scientists and medical
professionals in our state to determine
1420
00:28:25,149 --> 00:28:25,159
professionals in our state to determine
1421
00:28:25,159 --> 00:28:27,110
professionals in our state to determine
maybe it's in DEC maybe DEC has that
1422
00:28:27,110 --> 00:28:27,120
maybe it's in DEC maybe DEC has that
1423
00:28:27,120 --> 00:28:29,269
maybe it's in DEC maybe DEC has that
where they are required to look into it
1424
00:28:29,269 --> 00:28:29,279
where they are required to look into it
1425
00:28:29,279 --> 00:28:32,430
where they are required to look into it
and have their own um you know summary
1426
00:28:32,430 --> 00:28:32,440
and have their own um you know summary
1427
00:28:32,440 --> 00:28:33,830
and have their own um you know summary
or decision on whether or not it's safe
1428
00:28:33,830 --> 00:28:33,840
or decision on whether or not it's safe
1429
00:28:33,840 --> 00:28:36,190
or decision on whether or not it's safe
and effective since we know that CDC and
1430
00:28:36,190 --> 00:28:36,200
and effective since we know that CDC and
1431
00:28:36,200 --> 00:28:37,669
and effective since we know that CDC and
uh FDA and all these are not doing a
1432
00:28:37,669 --> 00:28:37,679
uh FDA and all these are not doing a
1433
00:28:37,679 --> 00:28:39,430
uh FDA and all these are not doing a
good job with it and I and I guess I'm
1434
00:28:39,430 --> 00:28:39,440
good job with it and I and I guess I'm
1435
00:28:39,440 --> 00:28:41,190
good job with it and I and I guess I'm
asking you as a professional are do you
1436
00:28:41,190 --> 00:28:41,200
asking you as a professional are do you
1437
00:28:41,200 --> 00:28:42,549
asking you as a professional are do you
hear that and think wow that's going to
1438
00:28:42,549 --> 00:28:42,559
hear that and think wow that's going to
1439
00:28:42,559 --> 00:28:44,029
hear that and think wow that's going to
cost an insane amount of money and good
1440
00:28:44,029 --> 00:28:44,039
cost an insane amount of money and good
1441
00:28:44,039 --> 00:28:46,190
cost an insane amount of money and good
luck or like no that's reasonable no no
1442
00:28:46,190 --> 00:28:46,200
luck or like no that's reasonable no no
1443
00:28:46,200 --> 00:28:48,389
luck or like no that's reasonable no no
the the actual like scientific
1444
00:28:48,389 --> 00:28:48,399
the the actual like scientific
1445
00:28:48,399 --> 00:28:51,430
the the actual like scientific
experiments are I don't think an insane
1446
00:28:51,430 --> 00:28:51,440
experiments are I don't think an insane
1447
00:28:51,440 --> 00:28:54,149
experiments are I don't think an insane
amount of money it's having
1448
00:28:54,149 --> 00:28:54,159
amount of money it's having
1449
00:28:54,159 --> 00:28:58,310
amount of money it's having
the the Regulatory and and Financial
1450
00:28:58,310 --> 00:28:58,320
the the Regulatory and and Financial
1451
00:28:58,320 --> 00:29:01,590
the the Regulatory and and Financial
Independence to like say no we're not
1452
00:29:01,590 --> 00:29:01,600
Independence to like say no we're not
1453
00:29:01,600 --> 00:29:03,230
Independence to like say no we're not
going to do it the way we're told until
1454
00:29:03,230 --> 00:29:03,240
going to do it the way we're told until
1455
00:29:03,240 --> 00:29:04,870
going to do it the way we're told until
we find out that it's okay when in
1456
00:29:04,870 --> 00:29:04,880
we find out that it's okay when in
1457
00:29:04,880 --> 00:29:07,870
we find out that it's okay when in
reality much of our support comes from
1458
00:29:07,870 --> 00:29:07,880
reality much of our support comes from
1459
00:29:07,880 --> 00:29:10,430
reality much of our support comes from
federal sources it's like if you have a
1460
00:29:10,430 --> 00:29:10,440
federal sources it's like if you have a
1461
00:29:10,440 --> 00:29:11,669
federal sources it's like if you have a
better idea for how to build the
1462
00:29:11,669 --> 00:29:11,679
better idea for how to build the
1463
00:29:11,679 --> 00:29:14,110
better idea for how to build the
interstate you kind of have to do what
1464
00:29:14,110 --> 00:29:14,120
interstate you kind of have to do what
1465
00:29:14,120 --> 00:29:16,789
interstate you kind of have to do what
the the federal people tell you
1466
00:29:16,789 --> 00:29:16,799
the the federal people tell you
1467
00:29:16,799 --> 00:29:18,430
the the federal people tell you
regardless right we because that's where
1468
00:29:18,430 --> 00:29:18,440
regardless right we because that's where
1469
00:29:18,440 --> 00:29:20,509
regardless right we because that's where
the money comes from for a lot of the in
1470
00:29:20,509 --> 00:29:20,519
the money comes from for a lot of the in
1471
00:29:20,519 --> 00:29:23,110
the money comes from for a lot of the in
Interstate infrastructure and I think
1472
00:29:23,110 --> 00:29:23,120
Interstate infrastructure and I think
1473
00:29:23,120 --> 00:29:25,509
Interstate infrastructure and I think
I'm not a policy expert but I I think
1474
00:29:25,509 --> 00:29:25,519
I'm not a policy expert but I I think
1475
00:29:25,519 --> 00:29:28,669
I'm not a policy expert but I I think
that a lot of financial support through
1476
00:29:28,669 --> 00:29:28,679
that a lot of financial support through
1477
00:29:28,679 --> 00:29:32,110
that a lot of financial support through
the Health Care system and and elsewhere
1478
00:29:32,110 --> 00:29:32,120
the Health Care system and and elsewhere
1479
00:29:32,120 --> 00:29:34,710
the Health Care system and and elsewhere
was tied to compliance to the federal
1480
00:29:34,710 --> 00:29:34,720
was tied to compliance to the federal
1481
00:29:34,720 --> 00:29:36,990
was tied to compliance to the federal
narratives and so I don't know that you
1482
00:29:36,990 --> 00:29:37,000
narratives and so I don't know that you
1483
00:29:37,000 --> 00:29:39,149
narratives and so I don't know that you
can create true
1484
00:29:39,149 --> 00:29:39,159
can create true
1485
00:29:39,159 --> 00:29:42,310
can create true
Independence you you could maybe create
1486
00:29:42,310 --> 00:29:42,320
Independence you you could maybe create
1487
00:29:42,320 --> 00:29:43,669
Independence you you could maybe create
some kind of
1488
00:29:43,669 --> 00:29:43,679
some kind of
1489
00:29:43,679 --> 00:29:46,630
some kind of
oversite that would enhance the public
1490
00:29:46,630 --> 00:29:46,640
oversite that would enhance the public
1491
00:29:46,640 --> 00:29:48,909
oversite that would enhance the public
trust in whether it was a good idea or
1492
00:29:48,909 --> 00:29:48,919
trust in whether it was a good idea or
1493
00:29:48,919 --> 00:29:50,669
trust in whether it was a good idea or
not but that's a different matter from
1494
00:29:50,669 --> 00:29:50,679
not but that's a different matter from
1495
00:29:50,679 --> 00:29:53,750
not but that's a different matter from
us being able to go our own way all the
1496
00:29:53,750 --> 00:29:53,760
us being able to go our own way all the
1497
00:29:53,760 --> 00:29:56,070
us being able to go our own way all the
time but that's your that's your leader
1498
00:29:56,070 --> 00:29:56,080
time but that's your that's your leader
1499
00:29:56,080 --> 00:29:57,549
time but that's your that's your leader
that's your area of expertise it's not
1500
00:29:57,549 --> 00:29:57,559
that's your area of expertise it's not
1501
00:29:57,559 --> 00:30:00,110
that's your area of expertise it's not
mine yeah but it is but it is possible
1502
00:30:00,110 --> 00:30:00,120
mine yeah but it is but it is possible
1503
00:30:00,120 --> 00:30:02,389
mine yeah but it is but it is possible
to have somebody look into vaccinations
1504
00:30:02,389 --> 00:30:02,399
to have somebody look into vaccinations
1505
00:30:02,399 --> 00:30:04,789
to have somebody look into vaccinations
and do similarly to what you did on this
1506
00:30:04,789 --> 00:30:04,799
and do similarly to what you did on this
1507
00:30:04,799 --> 00:30:07,029
and do similarly to what you did on this
I did this on my own money with free
1508
00:30:07,029 --> 00:30:07,039
I did this on my own money with free
1509
00:30:07,039 --> 00:30:08,669
I did this on my own money with free
student I mean yeah we this is not
1510
00:30:08,669 --> 00:30:08,679
student I mean yeah we this is not
1511
00:30:08,679 --> 00:30:11,669
student I mean yeah we this is not
terribly expensive to do these kinds of
1512
00:30:11,669 --> 00:30:11,679
terribly expensive to do these kinds of
1513
00:30:11,679 --> 00:30:14,029
terribly expensive to do these kinds of
tests but you know that has to be in a
1514
00:30:14,029 --> 00:30:14,039
tests but you know that has to be in a
1515
00:30:14,039 --> 00:30:16,389
tests but you know that has to be in a
system that that professors are not
1516
00:30:16,389 --> 00:30:16,399
system that that professors are not
1517
00:30:16,399 --> 00:30:18,509
system that that professors are not
going to be penalized for producing
1518
00:30:18,509 --> 00:30:18,519
going to be penalized for producing
1519
00:30:18,519 --> 00:30:21,710
going to be penalized for producing
results that are counter to what the
1520
00:30:21,710 --> 00:30:21,720
results that are counter to what the
1521
00:30:21,720 --> 00:30:24,029
results that are counter to what the
party line is supposed to
1522
00:30:24,029 --> 00:30:24,039
party line is supposed to
1523
00:30:24,039 --> 00:30:27,950
party line is supposed to
be and that you can create bubbles of
1524
00:30:27,950 --> 00:30:27,960
be and that you can create bubbles of
1525
00:30:27,960 --> 00:30:30,310
be and that you can create bubbles of
where the protection for people whose
1526
00:30:30,310 --> 00:30:30,320
where the protection for people whose
1527
00:30:30,320 --> 00:30:32,149
where the protection for people whose
job it is to check things and if they
1528
00:30:32,149 --> 00:30:32,159
job it is to check things and if they
1529
00:30:32,159 --> 00:30:33,549
job it is to check things and if they
come up with answers that nobody likes
1530
00:30:33,549 --> 00:30:33,559
come up with answers that nobody likes
1531
00:30:33,559 --> 00:30:35,710
come up with answers that nobody likes
they can still say them and and you have
1532
00:30:35,710 --> 00:30:35,720
they can still say them and and you have
1533
00:30:35,720 --> 00:30:39,590
they can still say them and and you have
to create these kind of protection
1534
00:30:39,590 --> 00:30:39,600
1535
00:30:39,600 --> 00:30:42,630
bubbles chairman yes ask him just a few
1536
00:30:42,630 --> 00:30:42,640
bubbles chairman yes ask him just a few
1537
00:30:42,640 --> 00:30:44,669
bubbles chairman yes ask him just a few
more questions
1538
00:30:44,669 --> 00:30:44,679
more questions
1539
00:30:44,679 --> 00:30:48,230
more questions
okay doctor if you are you planning to
1540
00:30:48,230 --> 00:30:48,240
okay doctor if you are you planning to
1541
00:30:48,240 --> 00:30:49,909
okay doctor if you are you planning to
publish these findings have you tried to
1542
00:30:49,909 --> 00:30:49,919
publish these findings have you tried to
1543
00:30:49,919 --> 00:30:52,430
publish these findings have you tried to
publish these findings in a journal no
1544
00:30:52,430 --> 00:30:52,440
publish these findings in a journal no
1545
00:30:52,440 --> 00:30:56,230
publish these findings in a journal no
and no they're
1546
00:30:56,230 --> 00:30:56,240
1547
00:30:56,240 --> 00:31:00,830
not as of now they are interesting and
1548
00:31:00,830 --> 00:31:00,840
not as of now they are interesting and
1549
00:31:00,840 --> 00:31:03,070
not as of now they are interesting and
concerning but not they don't rise to
1550
00:31:03,070 --> 00:31:03,080
concerning but not they don't rise to
1551
00:31:03,080 --> 00:31:05,789
concerning but not they don't rise to
the level of a peer-reviewed
1552
00:31:05,789 --> 00:31:05,799
the level of a peer-reviewed
1553
00:31:05,799 --> 00:31:09,509
the level of a peer-reviewed
publication the most likely the best
1554
00:31:09,509 --> 00:31:09,519
publication the most likely the best
1555
00:31:09,519 --> 00:31:11,509
publication the most likely the best
possible outcome would be that I would
1556
00:31:11,509 --> 00:31:11,519
possible outcome would be that I would
1557
00:31:11,519 --> 00:31:14,149
possible outcome would be that I would
check a bunch of people find out it
1558
00:31:14,149 --> 00:31:14,159
check a bunch of people find out it
1559
00:31:14,159 --> 00:31:16,149
check a bunch of people find out it
never integrated and this is not a
1560
00:31:16,149 --> 00:31:16,159
never integrated and this is not a
1561
00:31:16,159 --> 00:31:17,470
never integrated and this is not a
problem and then it will never be
1562
00:31:17,470 --> 00:31:17,480
problem and then it will never be
1563
00:31:17,480 --> 00:31:19,950
problem and then it will never be
published because papers don't publish
1564
00:31:19,950 --> 00:31:19,960
published because papers don't publish
1565
00:31:19,960 --> 00:31:21,870
published because papers don't publish
negative results kind of the worst
1566
00:31:21,870 --> 00:31:21,880
negative results kind of the worst
1567
00:31:21,880 --> 00:31:24,549
negative results kind of the worst
outcome is I can check a bunch of people
1568
00:31:24,549 --> 00:31:24,559
outcome is I can check a bunch of people
1569
00:31:24,559 --> 00:31:26,950
outcome is I can check a bunch of people
and I find ow it integrated and it's
1570
00:31:26,950 --> 00:31:26,960
and I find ow it integrated and it's
1571
00:31:26,960 --> 00:31:28,710
and I find ow it integrated and it's
called these horrible things and yeah
1572
00:31:28,710 --> 00:31:28,720
called these horrible things and yeah
1573
00:31:28,720 --> 00:31:30,470
called these horrible things and yeah
then I'll get a paper and be
1574
00:31:30,470 --> 00:31:30,480
then I'll get a paper and be
1575
00:31:30,480 --> 00:31:33,230
then I'll get a paper and be
famous um but I'm hoping that that's not
1576
00:31:33,230 --> 00:31:33,240
famous um but I'm hoping that that's not
1577
00:31:33,240 --> 00:31:34,669
famous um but I'm hoping that that's not
the way it goes so you see how they're
1578
00:31:34,669 --> 00:31:34,679
the way it goes so you see how they're
1579
00:31:34,679 --> 00:31:36,389
the way it goes so you see how they're
in Academia for publication there are
1580
00:31:36,389 --> 00:31:36,399
in Academia for publication there are
1581
00:31:36,399 --> 00:31:38,669
in Academia for publication there are
all these perverse incentives in place
1582
00:31:38,669 --> 00:31:38,679
all these perverse incentives in place
1583
00:31:38,679 --> 00:31:41,029
all these perverse incentives in place
where the kind of thing you need to be
1584
00:31:41,029 --> 00:31:41,039
where the kind of thing you need to be
1585
00:31:41,039 --> 00:31:42,190
where the kind of thing you need to be
done
1586
00:31:42,190 --> 00:31:42,200
done
1587
00:31:42,200 --> 00:31:45,350
done
is is the kind of thing that does not
1588
00:31:45,350 --> 00:31:45,360
is is the kind of thing that does not
1589
00:31:45,360 --> 00:31:47,190
is is the kind of thing that does not
generate a publication you need a
1590
00:31:47,190 --> 00:31:47,200
generate a publication you need a
1591
00:31:47,200 --> 00:31:50,190
generate a publication you need a
regulatory body to check find no problem
1592
00:31:50,190 --> 00:31:50,200
regulatory body to check find no problem
1593
00:31:50,200 --> 00:31:52,470
regulatory body to check find no problem
and tell the public there's no problem
1594
00:31:52,470 --> 00:31:52,480
and tell the public there's no problem
1595
00:31:52,480 --> 00:31:54,430
and tell the public there's no problem
we checked and there ain't nothing there
1596
00:31:54,430 --> 00:31:54,440
we checked and there ain't nothing there
1597
00:31:54,440 --> 00:31:56,269
we checked and there ain't nothing there
that will never get published you know
1598
00:31:56,269 --> 00:31:56,279
that will never get published you know
1599
00:31:56,279 --> 00:31:57,909
that will never get published you know
or very sell it's it's hard to publish
1600
00:31:57,909 --> 00:31:57,919
or very sell it's it's hard to publish
1601
00:31:57,919 --> 00:32:00,029
or very sell it's it's hard to publish
negative results like that and that's
1602
00:32:00,029 --> 00:32:00,039
negative results like that and that's
1603
00:32:00,039 --> 00:32:01,710
negative results like that and that's
why academic science is not the best
1604
00:32:01,710 --> 00:32:01,720
why academic science is not the best
1605
00:32:01,720 --> 00:32:02,950
why academic science is not the best
place to do
1606
00:32:02,950 --> 00:32:02,960
place to do
1607
00:32:02,960 --> 00:32:06,310
place to do
it how long would it take to do what it
1608
00:32:06,310 --> 00:32:06,320
it how long would it take to do what it
1609
00:32:06,320 --> 00:32:08,070
it how long would it take to do what it
is you're talking about here about check
1610
00:32:08,070 --> 00:32:08,080
is you're talking about here about check
1611
00:32:08,080 --> 00:32:11,389
is you're talking about here about check
a bunch of vaccinated people I mean I
1612
00:32:11,389 --> 00:32:11,399
a bunch of vaccinated people I mean I
1613
00:32:11,399 --> 00:32:13,269
a bunch of vaccinated people I mean I
it's it's hard for me listening to all
1614
00:32:13,269 --> 00:32:13,279
it's it's hard for me listening to all
1615
00:32:13,279 --> 00:32:16,470
it's it's hard for me listening to all
this for the first time to to uh
1616
00:32:16,470 --> 00:32:16,480
this for the first time to to uh
1617
00:32:16,480 --> 00:32:19,430
this for the first time to to uh
calculate how alarmed you are and
1618
00:32:19,430 --> 00:32:19,440
calculate how alarmed you are and
1619
00:32:19,440 --> 00:32:21,110
calculate how alarmed you are and
whether in your personal opinion you
1620
00:32:21,110 --> 00:32:21,120
whether in your personal opinion you
1621
00:32:21,120 --> 00:32:24,430
whether in your personal opinion you
would hit the pause button on allowing
1622
00:32:24,430 --> 00:32:24,440
would hit the pause button on allowing
1623
00:32:24,440 --> 00:32:27,470
would hit the pause button on allowing
this new vaccine so to speak without
1624
00:32:27,470 --> 00:32:27,480
this new vaccine so to speak without
1625
00:32:27,480 --> 00:32:29,990
this new vaccine so to speak without
knowing
1626
00:32:29,990 --> 00:32:30,000
knowing
1627
00:32:30,000 --> 00:32:32,669
knowing
more how long's it take and and how
1628
00:32:32,669 --> 00:32:32,679
more how long's it take and and how
1629
00:32:32,679 --> 00:32:35,389
more how long's it take and and how
serious is it to to find out this
1630
00:32:35,389 --> 00:32:35,399
serious is it to to find out this
1631
00:32:35,399 --> 00:32:37,149
serious is it to to find out this
information before people keep taking
1632
00:32:37,149 --> 00:32:37,159
information before people keep taking
1633
00:32:37,159 --> 00:32:38,710
information before people keep taking
these
1634
00:32:38,710 --> 00:32:38,720
these
1635
00:32:38,720 --> 00:32:43,870
these
vaccines it it takes about 3 hours to
1636
00:32:43,870 --> 00:32:43,880
vaccines it it takes about 3 hours to
1637
00:32:43,880 --> 00:32:46,669
vaccines it it takes about 3 hours to
check a vial a vaccine to see if it's
1638
00:32:46,669 --> 00:32:46,679
check a vial a vaccine to see if it's
1639
00:32:46,679 --> 00:32:48,470
check a vial a vaccine to see if it's
got this in
1640
00:32:48,470 --> 00:32:48,480
got this in
1641
00:32:48,480 --> 00:32:53,310
got this in
it about a hundred bucks of
1642
00:32:53,310 --> 00:32:53,320
1643
00:32:53,320 --> 00:32:57,070
reagents and I'm not going to get it
1644
00:32:57,070 --> 00:32:57,080
reagents and I'm not going to get it
1645
00:32:57,080 --> 00:32:59,750
reagents and I'm not going to get it
unless I find a a vial that I can check
1646
00:32:59,750 --> 00:32:59,760
unless I find a a vial that I can check
1647
00:32:59,760 --> 00:33:02,190
unless I find a a vial that I can check
ahead of time and make sure it's not
1648
00:33:02,190 --> 00:33:02,200
ahead of time and make sure it's not
1649
00:33:02,200 --> 00:33:03,950
ahead of time and make sure it's not
there and if it is there I'll take a
1650
00:33:03,950 --> 00:33:03,960
there and if it is there I'll take a
1651
00:33:03,960 --> 00:33:07,110
there and if it is there I'll take a
pass on
1652
00:33:07,110 --> 00:33:07,120
1653
00:33:07,120 --> 00:33:10,870
it thank you doc Dr bof thank you so
1654
00:33:10,870 --> 00:33:10,880
it thank you doc Dr bof thank you so
1655
00:33:10,880 --> 00:33:12,669
it thank you doc Dr bof thank you so
much for being here and I would like to
1656
00:33:12,669 --> 00:33:12,679
much for being here and I would like to
1657
00:33:12,679 --> 00:33:15,669
much for being here and I would like to
say that um I would sort of in the world
1658
00:33:15,669 --> 00:33:15,679
say that um I would sort of in the world
1659
00:33:15,679 --> 00:33:17,549
say that um I would sort of in the world
of coid that we've been dealing with
1660
00:33:17,549 --> 00:33:17,559
of coid that we've been dealing with
1661
00:33:17,559 --> 00:33:20,990
of coid that we've been dealing with
with all the lies and coverups and
1662
00:33:20,990 --> 00:33:21,000
with all the lies and coverups and
1663
00:33:21,000 --> 00:33:22,990
with all the lies and coverups and
misinformation out there I would almost
1664
00:33:22,990 --> 00:33:23,000
misinformation out there I would almost
1665
00:33:23,000 --> 00:33:24,389
misinformation out there I would almost
call you a
1666
00:33:24,389 --> 00:33:24,399
call you a
1667
00:33:24,399 --> 00:33:27,750
call you a
whistleblower um and Dr lead I think we
1668
00:33:27,750 --> 00:33:27,760
whistleblower um and Dr lead I think we
1669
00:33:27,760 --> 00:33:29,430
whistleblower um and Dr lead I think we
may have found our state's Surgeon
1670
00:33:29,430 --> 00:33:29,440
may have found our state's Surgeon
1671
00:33:29,440 --> 00:33:30,789
may have found our state's Surgeon
General here
1672
00:33:30,789 --> 00:33:30,799
General here
1673
00:33:30,799 --> 00:33:33,430
General here
no that's not my thank thank you for
1674
00:33:33,430 --> 00:33:33,440
no that's not my thank thank you for
1675
00:33:33,440 --> 00:33:34,990
no that's not my thank thank you for
your confidence in me but that's be
1676
00:33:34,990 --> 00:33:35,000
your confidence in me but that's be
1677
00:33:35,000 --> 00:33:37,070
your confidence in me but that's be
would like to say is as we wrap it up is
1678
00:33:37,070 --> 00:33:37,080
would like to say is as we wrap it up is
1679
00:33:37,080 --> 00:33:40,310
would like to say is as we wrap it up is
I do appreciate you um I understand um
1680
00:33:40,310 --> 00:33:40,320
I do appreciate you um I understand um
1681
00:33:40,320 --> 00:33:42,310
I do appreciate you um I understand um
where you are
1682
00:33:42,310 --> 00:33:42,320
where you are
1683
00:33:42,320 --> 00:33:44,590
where you are
employed and um you and I have had a
1684
00:33:44,590 --> 00:33:44,600
employed and um you and I have had a
1685
00:33:44,600 --> 00:33:46,389
employed and um you and I have had a
little conversation about how wonderful
1686
00:33:46,389 --> 00:33:46,399
little conversation about how wonderful
1687
00:33:46,399 --> 00:33:49,350
little conversation about how wonderful
tenure is and things like that but if
1688
00:33:49,350 --> 00:33:49,360
tenure is and things like that but if
1689
00:33:49,360 --> 00:33:53,549
tenure is and things like that but if
you experience any retribution or any
1690
00:33:53,549 --> 00:33:53,559
you experience any retribution or any
1691
00:33:53,559 --> 00:33:55,389
you experience any retribution or any
harassment for coming forward at this
1692
00:33:55,389 --> 00:33:55,399
harassment for coming forward at this
1693
00:33:55,399 --> 00:33:57,549
harassment for coming forward at this
hearing and testifying
1694
00:33:57,549 --> 00:33:57,559
hearing and testifying
1695
00:33:57,559 --> 00:33:59,909
hearing and testifying
would you please let us know because I
1696
00:33:59,909 --> 00:33:59,919
would you please let us know because I
1697
00:33:59,919 --> 00:34:01,629
would you please let us know because I
can assure you you will have an army
1698
00:34:01,629 --> 00:34:01,639
can assure you you will have an army
1699
00:34:01,639 --> 00:34:03,830
can assure you you will have an army
behind you to help with whatever may
1700
00:34:03,830 --> 00:34:03,840
behind you to help with whatever may
1701
00:34:03,840 --> 00:34:07,149
behind you to help with whatever may
come your way thank you very
1702
00:34:07,149 --> 00:34:07,159
1703
00:34:07,159 --> 00:34:10,069
much rep Morgan has one more question
1704
00:34:10,069 --> 00:34:10,079
much rep Morgan has one more question
1705
00:34:10,079 --> 00:34:12,669
much rep Morgan has one more question
and we've got to move along Dr jansy is
1706
00:34:12,669 --> 00:34:12,679
and we've got to move along Dr jansy is
1707
00:34:12,679 --> 00:34:14,109
and we've got to move along Dr jansy is
I think under a time constraint I should
1708
00:34:14,109 --> 00:34:14,119
I think under a time constraint I should
1709
00:34:14,119 --> 00:34:16,790
I think under a time constraint I should
have asked this so you didn't uh have
1710
00:34:16,790 --> 00:34:16,800
have asked this so you didn't uh have
1711
00:34:16,800 --> 00:34:18,669
have asked this so you didn't uh have
you haven't interacted with DEC about
1712
00:34:18,669 --> 00:34:18,679
you haven't interacted with DEC about
1713
00:34:18,679 --> 00:34:20,669
you haven't interacted with DEC about
this specific okay I was just wondering
1714
00:34:20,669 --> 00:34:20,679
this specific okay I was just wondering
1715
00:34:20,679 --> 00:34:22,950
this specific okay I was just wondering
if you had any I interacted with some a
1716
00:34:22,950 --> 00:34:22,960
if you had any I interacted with some a
1717
00:34:22,960 --> 00:34:25,629
if you had any I interacted with some a
couple of people at the FDA I just sent
1718
00:34:25,629 --> 00:34:25,639
couple of people at the FDA I just sent
1719
00:34:25,639 --> 00:34:27,149
couple of people at the FDA I just sent
them emails and said hey you want you
1720
00:34:27,149 --> 00:34:27,159
them emails and said hey you want you
1721
00:34:27,159 --> 00:34:29,829
them emails and said hey you want you
should look in this okay okay thank you
1722
00:34:29,829 --> 00:34:29,839
should look in this okay okay thank you
1723
00:34:29,839 --> 00:34:34,919
should look in this okay okay thank you
so much um next is Dr jansy Lindsay
157299
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