Latest / UK Column Radio / Reclaim Your Rights And Control- The Control Group

Transcript

Reclaim Your Rights And Control- The Control Group · UK Column Radio

0:07
Hello, and welcome to another UK column interview. My name is Debbie Evan.
0:15
I'm joined by an old friend, Cheryl Granger, who's an independent pharmaceutical
0:22
training consultant, and I've got a new friend with me today as well that
0:26
I'm going to introduce you to Dinny Van Cleef from the Control Group, co
0:32
founder of the Control Group. But before I do bring them both on screen,
0:37
I just want to make a couple of comments because this interview really is
0:42
a call to action and it's really positive news. So if you are watching,
0:47
please stay tuned right to the very end, because if you want to
0:50
make a difference, you really can, and we're going to tell you how
0:54
to do it. So we're looking for one million people, big number,
1:00
big challenge, but we know that with your help we can do this.
1:06
Why do we need a million people, Well, we need a million people
1:10
to change history and we believe that Dinny and Cheryl and all of those that
1:15
are working with them can do this. So what have we been asking you
1:21
all to do for so long? And what have we been saying we want
1:23
to do? We want to build parallel systems, right, parallel systems that
1:27
we can all use, doesn't matter whether we're vaccinated, whether we're unvaccinated,
1:34
whether we're from Australia, whether we're from the US, whether we're from Africa,
1:38
Europe or Asia, it doesn't matter. This is to include everybody.
1:44
So this is what the call of action is about. We live in an
1:48
upside down world where right is wrong, safe is danger. Girls can be
1:55
boys and boys can be girls. And when Boris Johnson said take back control,
2:01
what he really meant was he could take back control. The government and
2:07
the globalists and those that had planned all of this could take back control.
2:15
He didn't mean for us to take back control. But now it is time
2:20
for us to reclaim our control, reclaim it. But who can build those
2:27
parallel systems, because it's not everybody that can do that, and more so
2:31
to the point, who can build a parallel system that we can all be
2:37
part of and benefit from. I'm going to be one of those million people,
2:44
and I hope you are, because today we're here to give you something
2:47
that we don't think that you've had, which is informed choice. We're here
2:53
to give you information so that you can make a choice as to whether you
3:00
join us in our one million campaign. We want to beat them at that
3:05
at their own game, and to do that we need the help of our
3:09
very good friend, Cheryl Granger. Cheryl, Welcome to UK column. Thanks
3:15
Debbie. I'm glad you said you didn't say my old friend again. I'm
3:21
basically here to help introduce what Dinny is doing, which is absolutely wonderful and
3:28
hopefully we'll get lots and lots of people up to our targets so that we
3:31
can set up this parallel system on health. Well, let's get to it,
3:38
and let's not wait any longer, but let's introduce Dinny, co founder
3:43
of the Control Group. Don't be scared of that title, the Control Group,
3:46
because Dinny is going to reassure us all. Dinny, thank you so
3:51
much for joining us, and welcome to UK column. Thank you, Debbie,
3:54
thank you so much for having me right. Let's get started, and
4:00
before I hand over to Cheryl, who's going to guide us through what you
4:04
and she have been talking about and many doctors have been talking about too.
4:09
Before I hand over to Cheryl, let me just ask you a little bit
4:12
about you and how you found yourself aware of the agenda, What triggered you
4:18
into co founding the Control Group, which we will be hearing about in a
4:24
minute, what drove you to do that. At the very beginning of lockdown,
4:28
when we knew that the vaccinations were coming in, I was part of
4:31
a cooperative. A lot of us people who sort of felt the same had
4:35
met up together and just become a group. And we knew that that they
4:41
were going to bring in a vaccine, they were going to try and mandate
4:44
it on all of us. And I'm a mum with three children, and
4:47
I could see that particular interest industries were being affected really, really badly by
4:53
the mandates, and I thought, this is absolutely horrendous that we can be
4:57
locked down and controlled by the So the supposed need for a medication that you
5:01
know, we didn't know if we needed it, we didn't know, you
5:04
know, we didn't want it. My eldest daughter is in the music industry
5:09
or it's just finishing the university and going into the music industry, and that
5:12
was one of the industries that was closed down the worst, and it's still
5:15
really badly affected. I speak to a lot of musicians and it's absolutely horrendous.
5:19
So I went into Muma bear mode and so this isn't happening. I
5:25
need to make sure that the world is safe for my children. I need
5:28
to fix this for them. And obviously I'm one person, and you know
5:32
it's a massive task and a bit of a crazy thing to say that,
5:34
But I did say to my daughter, I'm going to try and fix this
5:38
for you. And my husband is in data, that's what he specializes in.
5:45
And one of the things going around at the time was the meme that
5:47
people were saying to say that they weren't being vaccinated. They would say,
5:50
well, I'm in the control group. Because we knew that the arm of
5:55
the unvaccinated arm of the pharmaceutical trials had been vaccinated, so there was no
6:00
longer and unvaccinated control group. We thought, well, actually we could make
6:03
our own control group, and if we've got enough people around the world to
6:06
join it, we could actually create the data of the unvaccinated that wasn't there.
6:11
So we set about doing that with just a bit of savings in our
6:15
back room, and it's sort of it just built from there. And I
6:21
still say to my daughter, you know, we're doing this few and in
6:25
fact, I've got three daughters, and I say to all of them,
6:27
because you know they're older now, we're doing this few we're trying to fix
6:30
the world. It's the way in which we can try and do it.
6:31
There are lots of different things that lots of different people are doing. This
6:34
is what we can try and do to try and make sure that the data
6:39
that is used to control how we look after our health is true data and
6:45
not you know, data that's been manipulated and all sorts of other words I
6:50
can use against it, but you know, we need true data so that
6:53
we can make informed, consent, informed choices about what we do to our
6:57
bodies. I will just also add that my nervousness about all of these vaccines
7:03
and my reason for not taking them, is that I had a sphere reaction
7:06
to the MMR as baby. I also had the hepatitis feed vaccine to go
7:13
to work, and I have fibromologia and I've had that since I had that
7:15
vaccine. So I've been hesitant for a very long time. My children did
7:19
have some vaccines because, like most mums, I thought, well, you
7:25
know, that's just what you do. I didn't like it, but I
7:28
did start to do it, and then I thought, do you know what,
7:30
No, I'm going to stop. And they've all had reactions they've all
7:34
got I would say they're all vaccine damage to a degree in various different ways,
7:40
with allergies, severe looten analogies, see the act, all sorts of
7:44
other things. So you know, I didn't start out as an anti vaxxer,
7:48
but I'm someone who questions all medicines and the need for all medicines,
7:53
and I want, I want to know exactly what everything is, what it
7:57
does, what is going to do to me, what is going to do
7:59
to my children before I make a decision. And I don't feel we can
8:01
make those decisions with full knowledge at the moment. Yeah, I think you
8:07
make some very very good points there, and it's all about people like you,
8:11
Dinny doing something like this which we're going to find out about, which
8:16
will enable I think, I mean, Cheryl, Well, I'm sure correct
8:22
me if I'm wrong, But I think if we can get a million people
8:26
to sign up for what you're about to tell us, I think this could
8:30
change history. This will be the biggest data bank ever of honest, true
8:35
data. But of course we talk about data, we talk about trust,
8:41
and we talk about control, and I can imagine everybody going, oh,
8:43
those are the words you know that absolutely repel us now. So I'm going
8:48
to hand over to Cheryl now so that she can go with you, go
8:52
through it with you about how your group can work to the benefit of us
9:01
and how we can reclaim what we already have lost, which is control.
9:07
So Cheryl, it's over to you. Thanks. Debbie Denny. I know
9:13
this word control is off putting to some people, but what we're trying to
9:18
put across is that you would be in control of your data, and that's
9:20
the main thing that has changed over recent years in terms of all our health
9:26
data being farmed out to here, there and everywhere via the authorities. We
9:31
want to understand that you were called the control group because you tried to replace
9:39
the Pacibo group, the control group within the studies on the vaccines that then
9:43
became vaccinated, which is why we've got no long term data. So the
9:48
control group was set up. I know I first met you at the Better
9:54
Way conference a few years ago, and you'd gone to things like that to
9:58
get people interested, and you'd built quite a big base of unvaccinated people.
10:03
I believe. Yes, we've got almost forty thousand people participating at the moment,
10:09
active participants. We've got registered about three hundred and fifty thousand people around
10:13
the world, but those people who are actually actually putting data in at the
10:16
moment, it's nearing forty thousand. So we need to build up those numbers.
10:22
And then can you explain what made you change the questionnaire and develop this
10:26
system so that you could involve the vaccinated as well, whether they be injured
10:31
or perfectly fine. What actually made that change. Well, although we started
10:39
just for the unvaccinated, and we were running lots of support groups and all
10:43
sorts of things to help get them through all of this, we found that
10:46
actually a lot of vaccinated people, well I say a lot a number of
10:50
vaccinated people were actually joining us as well, particularly in Malaysia bazally because they
10:56
wanted to use the card that we'd created in order to them celves from having
11:00
to get more vaccine. So they were using it against the mandates, say
11:03
no, I don't want any more vaccine. So that was kind of peaqued
11:07
our interest at the beginning because we knew that when we set this up,
11:09
we had to have a control, we had to have data to compare against,
11:15
and you know, it was going to be quite tricky to get that.
11:16
So actually those people who have vaccinated who came into the database, we
11:20
can compare the unvaccinated data directly with theirs, and actually this is something that
11:26
we've built in now so we can properly record all of the information. So
11:30
those people have been vaccinated now they've been through a hell of a time.
11:35
And for those people who've been injured, no one's really recording their injuries.
11:39
No one's taking real notice of those and putting them in a place where they
11:41
can actually be looked at properly by researchers. And so what we're we've changed
11:48
our system so that we can actually record all aspects of their injury, what
11:52
they think caused it, and that information can be stored until research has come
11:56
on board to look at it properly. And it's an organized manner and we
12:00
take it seriously. And it's people reporting for themselves. They're reporting their own
12:03
injuries rather than relying on a doctor who won't necessarily report it, they'll class
12:09
it do something else. So we want to look after those people have been
12:11
vaccinated and injured just as much as we want to look after those people who
12:16
didn't take the vaccine and have been discriminated against and found life very difficult over
12:20
this time. So filling in the questionnaire your own health data into this system,
12:28
does it take a long time? Initially you put in your baseline data
12:31
and information about some of your past history, which you could take you depending
12:35
on your health history, maybe half an hour up to now if you've got
12:39
loads and loads and loads of things. We've got a few people who got
12:43
so much and it takes a little bit of time, but once you've done
12:45
that every month, it can take as little as five minutes. It's really
12:48
quick and easy, and it's the majority of people tell us it's quite simple
12:52
to do as well. But we've got lots of support online to help people
12:56
and with their on zooms to help people if they get stuck with it as
12:58
well. It's not a big ask really, it's a very simplistic, quick
13:05
and easy thing to do on a regular basis. Yeah, I think that
13:07
people find it's so much better to actually put information into your system which then
13:15
has a use, which then can be used to develop comparisons and help data
13:20
from around the world. So it's not just a UK thing like the Yellow
13:24
card system, where some of those seem to end up in the bin.
13:28
So people feel frustrated that they've filled in reports with the systems that we have
13:33
in the UK and nothing ever happens with that information. This is for the
13:37
benefit of all so that comparisons can be made. And I've been reading through
13:41
a lot of data recently with the good old MHRA, and they tend to
13:48
operate on observed versus expected information, So they supposedly know what should be expected
14:00
with a particular condition, and then from the Yellow Card data and others they
14:05
find how many problems they've observed and see how one compares with the other to
14:09
see whether it's a signal. But again, you would have actual data,
14:15
You would have the people who aren't having a problem, and those presumably would
14:20
be in large numbers compared with those who are actually having a problem, and
14:24
then you could do that observe expected and obviously development of a signal in a
14:31
lot better, a lot easier format than a lot of guesswork that seems to
14:37
be used at the moment. So I think this is brilliant and it gives
14:39
the person who's filled in that data control, Yeah, it certainly does.
14:46
And also I just want to highlight, just jump in and highlight something and
14:48
ask Dinny because I know that you've got a slide to accompany this, and
14:52
I was quite shocked really when I read it, and I'd really like you
14:56
to just explain it, because you're saying is that there's no independent researchers,
15:03
none that have got access to any of this research. That the MHRA they
15:09
give it to who they want to give it to, but they don't give
15:11
it to everybody, so we don't get to see it. So is that
15:16
true that the lack of transparency in data really is the biggest problem that you've
15:22
found. Yes, So on the slide, I've put in a quote it's
15:26
from a sub stack by the Midwest and Midwestern doctor and I haven't verified this,
15:31
but I know this is generally what everyone's talking about at the moment,
15:35
and that's the fact that, as he said in there, no independent researcher
15:37
has ever been given access to the large databases that could easy demonstrate effectively says
15:43
E vaccine's are safe and effective. So it's got a bit muddled there,
15:46
but generally, what we're finding the lack of transparent data. When people are
15:52
talking about the data, the doctor, as a scientists, the general public.
15:56
There are words that we're using with the data that they're using to control
16:00
us and lock us down that shouldn't be used. Things like you can see
16:03
on this world cloud that I've created, hidden data, captured data, reliance
16:10
on freedom of information request to actually get the data. Data that's ignored,
16:15
data that's massaged, data that's weaponized against us. We've had all this data
16:19
modeling that was done during the pandemic era where they were using ner Ferguson's calculator
16:26
to postulate things that may or may not happen, and we were being controlled
16:32
via it. So you know, I'm not a scientist, I'm not a
16:34
doctor. I haven't been and looked for the specific data. But this is
16:38
what we're all hearing all the time from really reputable sources that the data just
16:44
isn't there, it's not trustworthy when it is there. I was just going
16:48
to say recently in the papers, we have had a lot of new products
16:52
being promoted by media and it's all linking into our genomics data. And they
17:00
keep mentioning this in the paper, which is your data from testing that has
17:03
been sent off to be used for research that you have no control over.
17:11
So there's lots of data out there and it's no wonder that people are very
17:15
worried about sharing their data, and as you just said, it's quite often
17:22
hidden. You don't know it's being shared. Yeah. Absolutely, And I
17:26
don't recall giving permission for them to look at my genomic data, so you
17:30
know where's that coming from. But the example I've got on the screen,
17:33
and this is just screenshots I've taken. I haven't verified them, but from
17:37
a recent High Wire episode. They were talking about the fact that the uk
17:41
ZO and S has changed the formula that they use to work out the expected
17:45
excess debts. There's a chart there which demonstrates this. Again, this isn't
17:48
verified. This is just an image from Twitter, but it gives a good
17:52
demonstration of what we know is happening. That they've looked at the excess debts,
17:57
which we thought were quite high, they actually know, you know,
18:00
we expected this amount of people to die because they're all getting older. So
18:03
suddenly, in the last year or so, the baseline of how many people
18:07
they're expecting to die is much higher. Therefore, the deaths that have actually
18:11
happened are not as excessive as we thought. So you know, nothing to
18:14
see here. It's being massage and obfuscated, and how can we trust it?
18:19
This is the problem the data that's out there, it's you know,
18:22
we either can't get hold of it or we don't trust it anymore. And
18:26
this has become such a major problem for all of us. So how can
18:30
we make choices about our health? How can we choose medications or to not
18:33
medicate, or vaccines or to not vaccinate based on information that's basically rubbish.
18:40
So this is where we came in. And initially we set up just to
18:45
create a control group for the the COVID vaccines, but actually, you know,
18:52
as we've evolved, what we're doing is building a new source of truly
18:56
independent data. You know, this is this is data that's coming from us
19:00
that isn't bought. You know, we've got no no one's funding us from
19:06
universities who are funded by big farmer. Nope, we haven't got a product
19:10
to sell. We've got absolutely no bias. And this is the people giving
19:14
their data. They are funding it themselves, So the data that comes out
19:19
of it is going to be true, is going to be transparent as well.
19:22
So on the side we put that we're a group of parents in the
19:26
UK who wanted to make a difference to fix the world of our kids,
19:30
which is literally I use those words. I said to my children, I'm
19:32
going to fix this for you. They thought it was it mad, but
19:36
you know, they can see we're doing this now and we set out to
19:40
fight the giants. I was just thinking that that might be time to start
19:45
talking about the security within your system, because obviously people worry about giving their
19:52
private information. So I mean, we've had conversations with yourself and your husband
19:56
and has been sent information about the security within your system, which all seems
20:03
something that I can say categorically is well protected. But you might want to
20:08
say a few words about that. Yeah. Absolutely, And this is one
20:12
of the questions that we get asked a lot. In fact, we've got
20:15
to asked an awful lot at the very beginning, not so much now,
20:18
but it's at the top of everyone's mind because it's our data, it's health
20:22
data, it's important, it's personal to us. Now, I will say
20:26
it's data we've probably given away on Facebook and Instagram and wherever many times before
20:30
anyway, but with our data, our security is something that is incredibly,
20:38
incredibly important to us, and we've got an amazing team it's a very very
20:41
close small team. We keep it intentionally cloates the IT team to keep it
20:45
secure. The system that we use has been built for the ground up by
20:49
us. It's not a bought in system, so there are no backdoors into
20:52
it. It's ours. We've written it. The security measures are strong,
20:57
but the strongest aspect of that is we don't tend to talk about them because
21:02
if we start talking about we use this, we use that, et cetera.
21:04
That builds a picture of what there is and that opens up the security.
21:08
So the security is incredibly high. The important thing is that your data
21:15
is something that we're going to be sharing, which sounds absolutely horrific, but
21:18
it's your data results. Your identity is something we keep incredibly well protected.
21:26
So your identity is connected to your data, your health information, but it's
21:32
connected by encrypted I don't even know the words. I'm not not the background
21:38
security IT person, But we keep them in different repositories, and all the
21:44
different aspects of your health data are kept in different repositors. It isn't all
21:47
kept in one place, it's spread around in a lot of different places.
21:51
So to actually put one person together with their bit of data would be pretty
21:55
much impossible for anyone outside of our system. So you know, I can't
22:00
say absolutely, hands down, this is the most secure system in the world
22:03
and no one can ever get it because we've got to be realistic. But
22:07
we are doing absolutely everything we can because we're in there. You know,
22:11
I'm in there, my children are in there, my family's in there.
22:14
This is us, this is our data, and this data is powerful.
22:18
We can use it to fight back against their data. So you know,
22:22
we've got to keep it secure and we've got to make sure that it's not
22:25
compromised. Yeah, so you're going to tell us about the cards that are
22:30
available in your system. Yes, I've got one of them here. So
22:37
when we first started the Control Group, the idea was that we needed to
22:41
stand up and be proud of our status and not people who haven't taken the
22:45
vaccine. We're terrified of talking up and speaking up and making themselves known in
22:48
the crowd, and we said, the best way to fight back about this
22:52
is to come together and be visible. So we created a card. Let's
22:55
get it on screen there. I don't know if you can see it.
22:57
It was our membership card, and we sent these out around the world.
23:03
And the idea was that when people ask you to share your vaccine pass,
23:07
we say, actually, I'm in the control group. I don't have one.
23:10
The great thing was people were letting people in, so people would use
23:14
these to get into work, they'd use them to get into restaurants. We've
23:18
even had people use them to get into other countries, even what some of
23:21
our own members of staff have used these when you weren't allowed to travel if
23:23
you're unvaccinated. This has worked, and it wasn't. It's not a fake
23:29
pass. It is what it is. It's a membership card, but it's
23:33
helped people. People have told us that they felt protected by it. They
23:37
felt that actually just having it on them, even if they didn't need to
23:40
use it, made them feel that they weren't alone. This is really exciting
23:45
because I just want everybody listening and watching to realize that, yes, we're
23:51
asking you to give Dinny and her database your data, but but you will
23:59
get benefits from this, and the benefits are huge. And having that card,
24:04
as you say, we're part of the control group, because everywhere else
24:07
got rid of their control groups, so we don't have any data to go
24:12
by. We have to make our own data, which is why I think
24:17
this control group is so valuable because it embraces everybody. And I mean,
24:23
you have no borders, do you. How many countries have you got all
24:27
of those people from? I mean, you must span many many countries,
24:30
Dinny. It was one hundred and seventy seven at the last count approximately.
24:37
We haven't actually done account again, but it's pretty much in most of the
24:41
countries apart from I think China. I think we did have one in Russia.
24:45
But yeah, one hundred and seventy seven countries, so pretty worldwide.
24:51
That is some I mean, that's pretty pretty impressive data. And tell us
24:57
before I throw back to Cheryl, just tell us quickly what you're able to
25:03
do with that data. How important is it and how important is it for
25:07
us as well? Because I guess when we're in putting our data into your
25:12
database, we're kind of recalling our own memories and our own history. So
25:18
it gives us ourselves a record of our own history, which we're not going
25:23
to get from the GP. Let's face it. And if we're putting in
25:27
our history once and then we're just updating maybe once a month, which is
25:32
only going to take five minutes, that five minutes is nothing? Is it
25:37
out of somebody's life? It really isn't. But what are you able to
25:40
look for? Because we come up to that word trend, don't we because
25:45
you're looking for trends, tell us a bit about what you are actually looking
25:48
for and where the data when you get it would go to. We're collecting
25:55
data about your health conditions, what you suffer from, and that's incredibly because
26:00
obviously we're seeing an increase in all sorts of diseases, so we need to
26:03
know exactly what people are suffering from. And we also ask how long you
26:07
suffer it from, so we record when you get better from that, so
26:11
we can see how long people's diseases last, which is something that I think
26:15
a lot of systems don't do. We ask what allergies you've got, and
26:19
we're seeing obviously increases and allergies as well. We ask about all these supplements
26:25
and medications that you take. And this one's actually quite key because this is
26:29
the on the health conditions. When you enter a health condition, if you
26:33
believe that something has caused that health condition, and take an example from my
26:40
great uncle, which is Staturin Statin's has caused his legs to have major problems.
26:45
I've got an example on screen there that somebody's got myocarditis. If you
26:51
believe that condition was caused by a medication, a surgery, or a vaccine
26:56
supplement, medications and supplements are together, you can actually report that in our
27:00
system. So I've given you an example here of someone with myocarditis. They
27:04
believe it's due to a vaccination, and the vaccination is the Oxford astrozenicon one
27:11
they've put in there. So you list all of your vaccinations, all of
27:14
your medications, all of your supplements in our system, and then if you
27:17
feel one of those things is affecting your health. Let's say you're taking a
27:19
supplement. It doesn't just have to be vaccines, it was something else and
27:23
you felt that that was affecting your health, you could actually link those two
27:26
together. So we can report on what people feel. And what we're seeing
27:30
in our system is people reporting retrospectively on things like a particular interest to me
27:34
is the HEAPTITISV vaccine. I've seen other people saying in the system that they
27:37
feel they've got fibromager from that. This is you reporting, not just your
27:42
doctor telling you. We do ask if the doctors confirmed it as well.
27:45
But actually we want to hear what you say, because then that's data coming
27:48
from the people, not obfuscated by medical organizations who've got a reason to keep
27:56
you quiet about it. In terms of the vaccines on this slide that we've
28:00
got at the moment, this is particularly for those people who've had the COVID
28:06
vaccine because a lot of these questions didn't really weren't really necessary before. But
28:11
we asked, was that mandated? You know, was the coercion involved?
28:15
Were you given a pavement a reward? I mean that as far as I
28:18
know, hasn't really happened before. People were being given all sorts of things
28:22
from chocolate bars and doughnuts to sexual services in some countries. I mean,
28:26
it's just horrendous. And then we're also looking at the implied consent. Supposedly
28:32
we you know, we agree to these things, but so many people felt
28:37
that they didn't really but they didn't have much of a choice. Were they
28:40
given all the different things that could happen to them, were they given all
28:42
the side effects? You know, were they told what you know, what
28:45
these things actually did and how effective they were. So we're gathering that information
28:51
as well, and once we've got that information, we're then going to be
28:56
reporting on it. Now. Initially because we've had to rebuild the system from
29:00
scratch, so we weren't funded Initially, it was all done just for some
29:03
savings. Thankfully, our participants have funded us so that we've been able to
29:08
afford to rewrite the system from scratch, using an amazing team, so that
29:12
we've got a system that's now able to last for the longevity of this study,
29:18
which is we're hoping thirty years or as long as is absolutely necessary to
29:21
get the answers we want. So we can look at not just the COVID
29:26
vaccine, we can look at every single treatment thereover was and if there are
29:30
new pandemics, new vaccines, we're up and running, ready to be recording
29:33
all the information that comes out of having or not having those particular medications and
29:40
the sort of things that we can start to do. Now we've just started
29:42
to put out the analytics, and this is just us. We're not analyzing
29:45
that. We're simply reporting on what's in the database. What we want to
29:49
get on board as we go through is people to actually analyze that data for
29:53
us. But the side at the moment is a picture of our vaccine injured
30:00
the database. Now we've only got I think it's about two hundred and seventy
30:02
five COVID vaccinated people listed out of the almost forty thousand people, so it's
30:07
a very very small cohort, but it's quite an interesting cohort because of those
30:11
thirty of them have reported that they've been injured, and we ask people,
30:18
why did you take the vaccine? What was your reason for taking it?
30:19
So you can see that the largest one for those people who were vaccine injured
30:23
was pressure from government, which is just absolutely awful. The government forced them
30:29
to get an injury essentially, you know, that's absolutely horrific. The previous
30:34
slide is a really important one. This one tells you about the sorts of
30:41
injuries that people are reporting. It's very small on the screen, but you
30:45
can see of the two hundred and seventy five people who are in there who
30:47
are COVID VAT vaccinated and the thirty of those that report an injury, they
30:52
have between them reported seventy five injuries. So some people have multiple injuries,
30:57
and there are things like I saw, there's things like chest pain, there's
31:03
cancer, there's alopecia. There's all manner of things, and there's a big
31:08
topic at the top that says other and those are things where people have entered
31:11
in their own item that isn't in our list yet we're going to be going
31:17
through those an adding to this, we're constantly updating our database so that we've
31:21
got more and more information in it because we need to capture absolutely everything this
31:23
side at the moment the diagnosis grade. This, I feel is really exciting
31:30
in terms of showing what we can actually do with the data, although our
31:33
data is still We've only the new database really started from September and it's taken
31:38
a little while to get people back on board with that, so our data
31:41
is only from really a few months and not everyone has filled in absolutely everything.
31:45
So this is just going to get bigger. But this slide shows vaccinated
31:52
and unvaccinated people. It shows the grade at which they were diagnosed with a
31:57
cancer. It's got a list of cancers down the left side, and then
32:00
the grades are yellow for grade one orrange of grade two and red for grade
32:05
three and you can see that some cancers people are diagnosed to very low grade.
32:09
The breast cancer at the very top there seems to be a fairly even
32:13
mixed between the grades at which people are diagnosed. Now, the reason this
32:15
one's particularly important is because we've got what's called turbo cancer, what people are
32:20
calling turbo cancer, which is describing a cancer that's diagnosed quite late in the
32:25
day, so they've come in with not there, not so long to live.
32:32
And what we can do in our system is actually split the data between
32:37
the vaccinated and the unvaccinated and show the difference in the stage at which people
32:43
are diagnosed for cancer. Now, hopefully everyone's diagnosed at are really low stage,
32:46
but that might not be the case, and our date didn't show that.
32:51
So the other thing that you could do is look at the ages at
32:53
which these cancers are occurring, because that's the other thing with the turbo cancers.
32:58
They've never seen as many in such young people, and therefore that information
33:02
would be quite accessible for your database bot it. Yeah, we can split
33:07
it by age, we can split it by sex, we can split it
33:10
by blood group, we can split it by geography. We can look at
33:15
this data in any way we want. We've got that ability. The way
33:20
that we've written it means that it's incredibly flexible you can look at people's cancer
33:24
split on people who take vitamin C and people who don't take vitamin C and
33:30
how long they've got it for and whether they go into the remission or not.
33:34
We can look at absolutely anything within the data, and we can add
33:37
new questions in as well, so that we can expand the scope of this.
33:42
Really, we're really just starting with this. This can be a massive
33:45
project that can look at every aspect of health in a truthful, open and
33:50
transparent way. And the main thing about it is that it's ongoing. It's
33:52
live. This isn't this happened two years ago and next year, here's the
33:57
report of what happened. The dashboards that we're creating are going to show this
34:01
information immediately now, so you could be going into your record looking and we've
34:07
only just started putting these and yet, so we've not got the sort of
34:10
analytics running. But this is coming. You'll be able to go in there
34:14
and you'll be able to see, Okay, I've got I'm taking I'm thinking
34:16
about taking methylin blue, for example, which I know is something that we've
34:21
added recently to the database, and I'm considering taking that for cancer. And
34:27
you could go in and look and see, right, how many other people
34:29
are taking this for cancer and are any of those showing that they're going into
34:31
remission? You know, you can look at any aspect. This will be
34:36
live, all the time, constant reporting. By the way, I'm not
34:40
recommending that for cancer. That's just an example I've pulled out of the air.
34:45
So, but it's incredibly incredibly powerful and incredibly incredibly important if we can
34:52
get that data in there. As that side says, we can only rebuild
34:55
trust in the data if we know that it isn't compromised by greed. Our
35:00
database is simply funded by its participants and only those who choose to fund it,
35:04
so it's completely free to join to be in it. If you want
35:07
to help to fund it and to keep us completely independent, then you can
35:12
pay six pounce a month, which you can cancel at any point, so
35:15
there's no tie in whatsoever. But that's what keeps us totally free from pharmaceutical
35:21
agencies, from biases to any product whatsoever. And the data, because it's
35:25
live and constant, it's not going to be based on modeling. It's going
35:29
to be based on real life facts. And that's why the side says we
35:35
have to get a million people or more in it. It was something we
35:37
were told very early on when we first started this. I won't mention his
35:42
name, but a very eminent pharmacist contacted me and I had a two hour,
35:45
quite terrifying conversation with him, but he was incredibly supportive and he said,
35:50
look, this is anecdotal data. It's self reported. Therefore you have
35:55
to base it on quantity. You have to get the numbers because you're going
36:00
to get a lot of noise and if you imagine a scotograph, we're going
36:02
to have data all over the place. It's here, there, and everywhere.
36:06
But we will be able to show trends as a straight line through all
36:09
of that noise with the quantity, and the purpose of what we're doing is
36:13
not to give exact answers to everything. It's to show trends. Is there
36:17
a trend here? Are we seeing a rise in this? Are we seeing
36:21
people getting better from that? You know? Are people reporting discrimination in a
36:24
particular country because we allow people to report on that as well? Are people
36:30
showing a signal for a particular medication that wasn't that hasn't been seen before because
36:34
the people are reporting it it's not the doctors who you know, it's in
36:38
their interest to hide information because they want to sell the drugs. The people
36:42
are saying this now, you know, I know that not people aren't always
36:45
correct in assuming what's causing things. But if we have a lot of people
36:51
all saying the same thing, that's a really important flag that then can be
36:54
looked into by researchers and scientists who can then do a deep dive and find
36:59
out if that's the case or not. This could be so so powerful,
37:02
And that brings me on to a very important question, I think, Dinny,
37:07
because you know, we're asking people watching to trust you, and I
37:13
do, and we're asking people to input their data to your database and I
37:19
will, And we're asking people to make an informed choice about reclaiming control,
37:28
which I will. But then when we look at you say, the data's
37:32
live, so we can all, you know, look at the data,
37:35
and those of us that subscribe will get a card. And I want to
37:39
be part of that control group, since there aren't any control groups, so
37:43
I actually want to be part of that. But then there are going to
37:45
be other people I think that are watching that are going okay, Then Dinny
37:51
has got all of that research, all of that amazing evidence, which is
37:55
gold mine data, how do you discern which researchers analyze it? Because many
38:02
people watching are suspicious of academics, they're suspicious of scientists, suspicious of doctors.
38:12
So how do we know that we can trust the researchers that the data's
38:16
going to. That's a really good question, and a simple answer to that
38:22
is that it doesn't really matter who puts out research based on our data because
38:29
the data will be there for everyone to see. It's transparent. So once
38:32
we've got the analytics up and running, anyone who wants to If someone's put
38:37
out a report on a particular aspect. Let's say, for example, they've
38:39
put out a report on cancer and it says that we're all getting cancer at
38:45
a terrible increased rate, other people can then go into the analytics, query
38:50
the data and say, right, show me those same facts and figures,
38:53
and they can check against it. So the data is going to be transparent,
38:58
so it doesn't matter what other people say. Other people can look at
39:01
it and check against it. And that's what's missing from a lot of these
39:07
other papers where journals put out reports on different products and say this is what's
39:14
happening. But actually they don't supply the raw source data. And when I
39:17
say raw source data, that's without any people in it. That's just results,
39:22
that's not individual records. But they don't put out that raw data.
39:25
And we've spoken to an editor of a fairly well known journal who said that
39:31
that even when they do eventually manage to get hold of some of the raw
39:35
data, it's been changed, it's been edited. They don't get all of
39:37
it. With our system, we want to make all of this available,
39:43
all of the time and totally transparent, so they can say what they like
39:46
with the data, but it can be checked, and then we'll know who
39:50
the researchers are to trust because their data will match with what we're saying.
39:52
Yeah, so you've got no hidden agenda, have you, because you're not
39:57
deciding that we want this data to show that, which is how a lot
40:00
of clinical trials and what have you are based. They have something a hypothesis
40:06
to prove you're just looking at what the data is showing you, or the
40:10
researchers will be coming in and doing that. You can't manipulate it because it's
40:16
already there. The data is already there, and as you say, because
40:20
other people can have access to it, everybody would be checking everybody else's work.
40:23
Really. The other thing that I find very interesting about this is the
40:30
benefit of having a card that can have your data on it in terms of
40:34
going into a hospital. And we never know when we're going into hospital.
40:37
Quite often we might be an emergency, and if I had a card on
40:40
me, one of your cards, I could actually dictate what I want.
40:45
Perhaps I won't want a blood transfusion, for example, and that all could
40:49
be stated, is that right, Yes, So that's our health card.
40:52
If I just show that on scre I don't even see that's mine. I
40:57
don't know if you'll be able to scan the QR code from the screen,
40:59
but if you can, you'll see my health data on there. The idea
41:04
with these cards, this is our health card, and it's totally optional.
41:07
You don't have to have one of these. But the idea with a health
41:08
card is initially it's an in case of emergency card, so it says on
41:13
their in case of emergency, scan the QR code, and if you scan
41:16
that QR code, what you'll see is a list of things that I have
41:21
chosen to be on there. That's the important thing. So it shows information
41:24
from my health record that I have decided. There's a little on off switch
41:28
on each record that you can choose whether or not this shows, so I
41:30
can choose to show any health conditions I've got, any allergies I've got.
41:35
It shows my blood group on the front of the card. It will show
41:38
any medication that I'm on. But also it can show the medical choices,
41:43
the advanced decisions that I want to make about how I'm going to be treated
41:45
in hospital. So things like like you said, if I don't want a
41:49
blood transfusion, if I don't want plasma, or I decide I don't want
41:52
platelets, or I don't want to have mechanical ventilation. We've got a number
41:55
of things on there that will show on this card when you scan the card
42:00
our code you decide what you don't want. Now, I will point out
42:02
that that is not legally binding because we've done this internationally, we can't make
42:07
it legally binding in any country. However, it is there for any paramedic
42:12
to see, and we hope that they will actually listen to it. And
42:15
obviously you can also add a contact emergency contacts on there. Some of who
42:21
might be your health advocates. And we recommend that you print out your advanced
42:25
decisions, sign and witness them, and take those with you and give those
42:29
to your health advocate to bring in with you. So there are things you
42:30
can do to strengthen it. This just tells the person you know, this
42:37
person doesn't want these things. But the other aspect of this card going forward
42:40
is that this is your health record or your health records on your system.
42:46
And once a parallel system of health gets up and running, and we can
42:52
see this happening all over the places with people like the PHA and other ones
42:55
in America where they're creating these new amazing hubs where you can go and get
43:00
health and advice and treatments from people who aren't necessarily registered with the GMC and
43:06
therefore don't have access to medical systems and don't have access to your record,
43:09
your health record. And as you said before, it's really hard to remember
43:14
what vaccines you've had, you know, what health conditions you've had when you
43:16
had them. You could allow them to scan the QR code and share with
43:21
them bits of your health information without you having to remember it, which is
43:24
really really useful. The other aspect of this being your own health record,
43:29
and it's yours, you own it is that you can keep your health record
43:34
ongoing and that of your children, your family members, and therefore you can
43:37
look back at it at any point and see how your health is going.
43:39
Our aim is in the long term to be able to create charts for your
43:43
own health as well, so you can look at how is my mental health,
43:45
was it up and down? How does that correlate with perhaps the victms
43:50
I'm taking, the medication I'm taking, or the amount of exercise I'm taking.
43:52
These are things that we plan to build into there so that this is
43:55
something that you can look at and control your own health. The whole thing
44:00
is it's about you having the knowledge and the information and being able to see
44:06
what's going on, you know what other people are saying, and to make
44:08
decisions of your own about your own health. It's all about choice. Everything
44:14
and every aspect of what we do is about choice. It's your choice whether
44:16
to have any of these cards, is your choice whether to help fund us
44:19
or not. So I'm really excited about this, and I hope people watching
44:23
are excited because the benefits are huge. One thing I did want to bring
44:30
up though, is when I hope people do register up with you, I
44:37
would say probably they would want to tell their family and friends as well,
44:42
right because sadly, you know, I don't want to put any dampeners on
44:46
this, but sadly some people that are in putting their data may die and
44:53
all of a sudden they've disappeared from the database. Have you got anything to
45:00
sort of cover that or for people to look at with regards to somebody that's
45:05
maybe been contributing that has died. Yes, we do. We've got a
45:08
couple of things in place, and actually it's ascenary that we do need to
45:12
look at even more. But initially, if you've got a record where you've
45:15
got yourself and several other members of your family, then other members can report
45:20
it. There's actually a button in there that says notify us of the death,
45:22
and you can actually click on that button to notify us of the death
45:25
of one of the participants within your record. If you're somebody on your own
45:30
and you haven't got anyone else in there. What we've got is a notification
45:36
of death letter. It's an advanced notification that you can download that says please
45:40
notify in the event of my death, please notify the control group that I
45:45
of which I'm a participant, that I have died. And there's a QR
45:47
code on there. And the idea is that you put that in your personal
45:51
effects. So if you do die and you haven't got anyone else who's looking
45:54
after you, when somebody goes to your personal effects, perhaps someone that you
45:59
haven't seen for a long time time or whoever, they find that letter and
46:01
can contact us. Another thing that we need to welcome a little bit more,
46:06
but it is something that we've we've created, it's in there, but
46:09
we need to really get some more messaging out about this because, as I
46:12
said, this is still is still in development. A lot of this.
46:15
We've got a buddy system whereby you can nominate someone and they have to then
46:20
come back and agree to it that if you don't update your record for I
46:24
think it's three months, we can send an email to that body and they
46:29
can give you a nudge or obviously if you've died, they can let us
46:34
know, and then after three months there's another notification after that, if we
46:37
stood it here, we send out another email and say that is this person
46:40
still like can you just let let us know that they're still going. So
46:45
we've got three different mechanisms for capturing deaths. But obviously deaths is incredibly important
46:49
because you know, we need to see if there's a difference in longevity as
46:52
well as vitality. These are two really important aspects. So you know,
46:58
there are other things that we can be building in as we go along.
47:00
We're still learning on all of this, but yeah, we've got three things
47:04
that will help in different instances. At the moment, I just want to
47:07
thank you so much for, I mean, an incredible amount of work.
47:13
And it seems that whatever question that Cheryl I throw at you, you've already
47:17
thought of it and you're kind of there. This system is there waiting for
47:22
people to use right now, and I know people are going to say,
47:25
well, why haven't we heard about this before? People are going to be
47:30
saying, okay, what do I do? Where do I go? Where
47:34
do we find you? Because I know too that if people do register,
47:38
and Cheryl and I have spoken to Dinny before about this, is that you're
47:43
always on the end of an email as well, aren't you. So this
47:45
is really transparent. We can get hold of you, But where do we
47:50
go to register. It's set www dot control Group, dot coop coop because
47:58
we're cooperative, which means we belong to people, so it's a coop email
48:04
address www. Dot control Group, dot coop. Go to the website.
48:08
It has all the information about what we're about, lots of support in there
48:13
as well. Once you register, it's fairly simplistic questions to get you in
48:16
and get you going, and we've got support on the end of the email.
48:21
I do regular zooms most weeks where people can come and talk to me
48:23
and ask questions, and if they're not sure how to enter information or why
48:27
we ask those questions, I try to answer all of those. So yeah,
48:30
we try to be as transparent as possible. That's wonderful, Denny,
48:35
and I just hope we've made people enthusiastic about going along and signing up.
48:40
Because I first started looking at all the PISO documentation, which is going to
48:45
be the moderna documentation from their clinical trials some time ago, and then we
48:51
got it on the Situation Room with UK column and that was all bad news.
48:55
I wanted people to have something that was in their favor, something that
49:01
would replace the systems within this country, your yellow card and the rest that
49:07
are not working properly and therefore give them some means of getting some help.
49:15
And quite often just being part of a group is quite a therapeutic thing,
49:21
especially if you're having problems. So we want people out there. We want
49:24
new people. We want the people that have been into your system in the
49:29
past but haven't filled in the new questionnaire yet. We want those that have
49:34
been vaccinated who may not have known about this, that they can now become
49:37
part of the control group, whether they've got symptoms or not, to go
49:42
and have a look and start filling in your questionnaire so that they can register
49:46
themselves and make their health documentation or facts available so that they can be useful
49:53
in the future for the benefit of all of us. And that's how I
49:57
see this. It benefits everybody. We can learn a lot from ourselves,
50:01
and you've given us the means for doing that, which I am very grateful
50:06
for. And I thank you very much for coming along and talking to us
50:10
about it. Thank you so much. I really appreciate the opportunity to explain
50:15
all of this and you know, try and encourage other people to come on
50:19
board with it, because it's so important. It really is. We can
50:22
make a difference, and it's easy, you know. It's you don't have
50:24
to go out and do anything diffult. You can do it from your home,
50:27
from a computer, from your phone. It's it's a really strong thing
50:30
that we can do together. For those of you that are watching, this
50:35
is a really really important message. You really can make a difference. Can
50:39
you be part of the one million that Dinny needs to get this data reclaim
50:46
control? Because those that are in control don't want us to reclaim it,
50:52
so it's even more reason for people to register. And the benefits are enormous.
50:58
And Dinny, sure, we'll be coming back and doing regular updates,
51:01
and I'm hoping that perhaps we'll get a clock and we can see how many
51:06
people are registering, and the more the better. Wherever you are in the
51:09
world right now, you're listening, it doesn't matter where you are. This
51:14
is open to absolutely everybody. And on that note, Denny, as always,
51:21
I'm going to go to you for the last word, because I just
51:25
hope the message is going to get out to at least a million people.
51:30
So on that note, Denny, thank you so much. It's over to
51:34
you for your last word. Thank you. I just want to say to
51:38
everyone, now is the time to come together to fight against Silver this.
51:42
If we want to take that control, we need to come together, all
51:45
of us and this is an easy, simple way to do it. Controlgroup
51:49
dot coop come and join us.