In this episode, we dive deep into the dangers of rapid antigen testing and the government's cover-up of the dangers, as well as the alleged corruption involved in the rapid testing program, and how the government is covering up the dangers.
00:18:12.320and can everybody see that looking good okay good so keeping in mind that our intent was to have this go
00:18:20.640to the police we set up the report in such a way that was very um methodical so we had a little introduction
00:18:31.040and that introduction has all and we'll look at that it has all kinds of color pictures and infographics and stuff
00:18:36.560because we wanted to get their attention and then we went in and we outlined to the police
00:18:42.320why they were required to to do something about this and we outlined the sections of the legislation that empowers police to do what they do
00:18:49.200um and what their duties are and then we in section three we talked about the alleged crimes and again
00:18:56.240we said to the police and all of this our intention wasn't to create a report that does your job
00:19:02.960our intention was to create a report that would show you enough evidence irrefutable evidence that
00:19:07.520you needed to act and you needed to undertake a thorough investigation um section three uh we
00:19:14.720named off what we could identify or believe we could identify that the crimes were or potentially
00:19:19.440were and again that's up to the police to to flesh all that out and decide what the crimes are
00:19:25.040we also told them when we thought the crimes occurred and one of the things that we've done
00:19:29.280in this document is we've been very neutral we've been very um much in favor of what the government
00:19:35.520told us and i'll explain that a little bit later um exactly what i mean by that but on the timing of the
00:19:40.480crimes we didn't say we didn't make the assumption and it might be a true assumption but we didn't make
00:19:44.880the assumption that they knew at the outset and so we asked ourselves when did we know when did
00:19:51.920statistics canada release the information on 2020 such that we knew and the answer to that was may of
00:19:58.4802021 now we know that the health care officials knew that information long before that but as an
00:20:05.200example if it was may that means from that point on what they were doing was criminal and again the
00:20:10.160police had to flesh that out so we told them so we told them uh what the crimes were we identified
00:20:15.760who we believe the perpetrators were and there may be very many more there may be some in there that
00:20:19.920that that didn't timing of the crimes and then we defined and this is really the meat of the report
00:20:25.680is under section six which alleges it which the details the the illegal acts and i just i'm going
00:20:34.160to go into the introduction just shortly here and i know i don't i don't have hours and hours and hours
00:20:38.560bore you with this but i also wanted to say that don't be intimidated when people talk about statistics
00:20:46.400all we're talking about is very simple numbers and i'll give you an example on page two of the
00:20:52.400introduction and there's more detail of this later on in the report but on page two of the of the
00:20:58.720introduction there's a graph here so we record we tried to represent things not just with numbers but
00:21:04.320with visuals and you can copy these visuals and you can post them on your facebook pages or your
00:21:09.200internet page or your telegram or whatever but just looking at this this one graph what we did was we
00:21:15.840analyzed we took the numbers from from statistics canada from 2019 before the the the pandemic uh was
00:21:25.200identified and we looked at the the the mortality rates and once again i want to point out that i'm
00:21:32.080going to be talking in terms of numbers and we full well recognize we're talking about people we're
00:21:36.800talking about people's lives we're talking about life and death here so i may come across as cold but
00:21:42.480in order to understand what they did we need to focus on those numbers and late and later we can come
00:21:48.080back and talk about the human effects of this thing keeping in mind that we were building a report for the
00:21:54.560police that was based on numbers and was irrefutable so in this one graph we're talking about in 2019
00:22:02.880before the the the the pandemic uh was identified if you were over the age of 70 years old 70 years old
00:22:11.040and up we looked at the odds of you dying in in that year in 2019 and it turns out in canada in 2019
00:22:18.720there were about 4.7 million people above the age 70 and above and in 2019 145 000 a little more than
00:22:26.640that died just from cause from whatever the causes were and so your chance your odds of dying if you
00:22:34.640were 70 years of age and older in canada in 2019 were one in 32 now again not questioning the numbers
00:22:42.800using the numbers from the government in 2020 there were uh again 4.6 a little more uh people in that
00:22:49.520age group or a little more than 4.67 uh million the number of deaths attributed to covid it was a
00:22:57.280little over 14 000 and again we didn't question that we all know that there's issues with testing
00:23:02.720we all know that the way they designated a covid death was you died and you were tested positive for
00:23:09.840covid they called that a covid death so we didn't question any of that we didn't want to get into
00:23:13.840that we just wanted to see what their numbers in the in the in in the best light from their
00:23:19.200perspective looked like so they identified 14 000 people that died so that's your chance of dying
00:23:24.560contracting and dying of covid 19 if you were 70 years of aging and older was one in 324 your odds of
00:23:31.760dying in any just for any reason were one in 32 so you had 10 times more chance of dying
00:23:38.720than you did of dying of covid 19 and and for those of you that like percentages that's a thousand
00:23:44.400percent difference a thousand percent difference now these when we talk about statistics this is
00:23:49.680kind of what we're talking about pretty simple stuff so don't get turned off by the by the word in the
00:23:54.880numbers and then we uh and we looked at that in more in depth and we'll get to that and we also looked
00:23:59.840at two other age groups and there's lots of age groups but we looked at two other age groups we
00:24:03.760looked at the 70 year old plus because they said that was the worst uh uh at risk folks and it was
00:24:11.120and so then we looked at the 19 year old zero to 19 year olds and so again in 2019 before the pandemic
00:24:19.280there were 8.1 little more than 8.1 million people in canada below 19 years of age and below
00:24:24.880and in 2019 for for for any particular reason excluding covid 1365 of those people died that
00:24:33.600meant you have a one one in about one in six thousand chance if you were 19 years of age and
00:24:38.320younger of dying in that year your odds of dying contracting and dying with covid however in 2020
00:24:46.560the the population went up a little bit but they reported two covid deaths so that means your odds of
00:24:52.640contracting and dying of covid if you were 19 years of age and younger was one in four million
00:25:00.000compare that to the odds of just having an accident or cancer or whatever it was about one in six
00:25:05.440thousand that's the kind of numbers we're talking about um so that was just in that i just went over
00:25:15.120it's a very light section just to entice somebody to continue to read frankly this is the requirement for
00:25:20.640police to act so we're telling the police this is why you have to investigate this so we went to the
00:25:25.760police services act and we quoted information from there it also tells what a police officer's duty is
00:25:30.880we quoted that we listed what we thought the alleged crimes were and why they were and how we arrived at
00:25:38.240at the information we gave links um i don't know how many people knew that at great expense and i don't
00:25:45.600know what that expense was but i could guess that canada developed the canadian pandemic
00:25:50.880influenza plan for the health sector they did that in 2006 uh uh this is the document
00:26:00.320it's it's uh 551 pages long teresa tam was the director of that and um and um um sorry help me out
00:26:09.760with this who is the health minister or health uh bonnie henry bonnie henry was a part of that too
00:26:15.520she was at the time with the city of toronto by the way so we we developed this plan and we'll get
00:26:20.880into that a little bit later and then we decided not to follow it even though the plan sets out in great
00:26:26.560detail how and how a potential pandemic would would occur what it would do and what its characteristics
00:26:34.640were it hit that spot on so it wasn't something that they didn't anticipate and yet on the
00:26:40.240recommendations in there they ignored them and and again there's another section where one we'll get to
00:26:44.640that in a little more detail um so we discussed that what the crimes were we identified some of the
00:26:54.800crimes um malfeasance misconduct conspiracy to commit grievous bodily harm gross negligence we identified some
00:27:02.480of the laws that they uh uh contravened and then in section four we listed them and these um names up
00:27:11.520here apart from dr theresa tam are manitoba names we we named their hidden group because it didn't
00:27:19.680disclose the names of the members of in these various task forces and we named all of the executive
00:27:26.080members in the manitoba college of physicians and surgeons because they have a role where their
00:27:32.320supposed to protect public the public and consumers of medical care and promote a safe
00:27:37.520and ethical delivery of quality medical service so they failed in their in their uh in their um
00:27:43.920in their duties this section here is a sets out what who is responsible if a crime is committed
00:27:51.280how are you how are you designated to be part of that do you actually have to do the robbery or do
00:27:55.360you have to do something that allows the robbery to happen and so we set that out so we're we're
00:27:59.520spelling out to the police when they should already know but we again we didn't want to leave any stone
00:28:05.280unturned we wanted to be able to see them we want to be able to put them in a place where they couldn't
00:28:09.600ignore this uh timing of the crimes we talked about that already uh and then the basis for uh the
00:28:17.920illegal act so we talk about in here uh some of the things that we used at the bottom statistics
00:28:23.680canada manitoba government uh covet 19 response website canadian pandemic influenza plan etc those
00:28:29.840kinds of things um and we also talked about why we picked the year 2020 there was a practical
00:28:39.920reason for that and the practical reason statistics canada hasn't released the information for 200 2021
00:28:45.040yet but 2020 represented the perfect year to study it was and should have been the year where the most
00:28:55.520people the most fatalities happened and the reason for that was there were no therapeutic treatments you
00:29:01.200know people even though the pandemic plan told them what they should be doing they didn't follow it
00:29:06.160and so you could say there were no treatments no one had natural immunity there were no vaccines
00:29:11.680uh many of the mitigated measures hadn't been started most vulnerable people had no protection
00:29:17.360against the virus and those people who were very susceptible and and and and were at risk of dying
00:29:24.160hadn't died yet so that the the weakest groups were there and exposed to it so the next page shows
00:29:30.160a graph again from uh from um health statistics canada and it actually plots the the monthly death rates
00:29:38.080our weekly death tolls for for the a number of years from 2014 to 2021 this pink line is 2020 this dotted line was
00:29:47.7602000 uh 21 so you can see that the pink line is much higher than that than the dotted line it's also
00:29:54.480interesting to see how um the dotted line was fairly high in the beginning of january of 2021 and then it
00:30:04.880started to drop off but then kind of clients started to climb back up again and so also the statistics
00:30:11.920in 2020 weren't contaminated by any questions related to vaccine uh issues so because we weren't using
00:30:20.000vaccines it couldn't couldn't affect the numbers um so the first part of what we looked at on numbers
00:30:27.200and i won't get real deep into this but the first thing we looked at is we wanted to look at
00:30:31.760how the government of canada and health canada were presenting the risks to the population were
00:30:39.040they were they giving you were they giving you the right were they giving you understandable information
00:30:44.480because you really needed to understand what was going on in order to make uh informed consent if you
00:30:50.160couldn't understand it you couldn't make informed consent and so some of the things some of the things
00:30:55.600that they did was the report they were reporting deaths year over year but they weren't accounting
00:31:02.000for the fact that the population in canada was increasing and this table one is is um unadjusted and this
00:31:10.480shows you these are the years i think you guys can all see my cursor uh from 2006 to 2020 this was the actual
00:31:18.160population of canada so you can see from 2006 to 2020 the population canada went up 7 million people
00:31:24.960plus or minus and the total number of deaths are reported and the the and then this column is the
00:31:32.400change in deaths year over year so this subtract this makes that um and then we also we also put here
00:31:38.960what the changes in population year on year were so you can see back in 2007 all the way up to about
00:31:45.2002016 we were pretty consistent at adding about 335 000 people to our population every year then in
00:31:52.4802017 onward it jumped up another 400 000 people so our population was growing uh at about a quarter of
00:32:00.320a million people a year at that point so one of the things the government did is it reported to you the
00:32:05.840number of deaths uh year on year but they didn't take into account that the population grew by a million
00:32:12.000people or three quarters of a million people in this regard so the first table is we actually
00:32:16.240adjust the numbers and we what we did is we set uh the population this was the actual population
00:32:24.560this was the actual total deaths and then what we did was we we proportionately increased the population
00:32:31.840to us to uh to uh 38 million across the board and then by the same token uh increase the number of deaths
00:32:39.520so what this does is it gives you a baseline of a common baseline so you can compare year on year
00:32:48.400more of a percentage of deaths as it relates to the population and then we graph that here and this
00:32:54.960is an interesting graph it's sometimes hard to understand these things you know an old engineer
00:33:00.960like me can understand that pretty good but regular people like to see graphs and so this graph
00:33:06.960graph is simply the number of deaths that have been normalized or have been have been proportionally
00:33:13.360increased so that we have a common population so we increase them all as if we had 38 million
00:33:20.160and you can see this blue line here is it is what they call a trend line and so if you look if you look
00:33:26.320along this trend line you'll see that starting in about 2014 it was increasing every year this year was
00:33:32.800pretty much spawning increase increase increase and you can see that it projected that this would
00:33:38.240have been the expected number of deaths in 2020 had it not been for covet but look at this interesting
00:33:43.920thing here 2019 remember the statistics come out six or seven months after the year is done
00:33:52.640and you can see the population the the number of deaths significantly dropped now that hadn't happened
00:33:57.520since 2014 but it happened that year and then this increased and when we looked at those differences
00:34:04.160we found that this decrease in 2019 was very close to equaling the increase that was reported in 2020.
00:34:14.880Now am i saying i'm positive that something funny happened there no i don't i'm not but i'm telling
00:34:21.200us something odd is there and you can see it in the graph you know for all of these years it was continually
00:34:26.720increasing and and they claim that's because of an aging population and whatnot and i don't
00:34:31.120know what the answer to that is and it wasn't my point to answer that question but you can see this is
00:34:36.400just an abnormality is it a coincidence i don't know um so they also the so so that was one way that they
00:34:47.520they they um confused the situation another way uh is the way they were presenting graphs this is a
00:34:55.680government of canada graph that we copied out and it's talking about um it's talking about um a number
00:35:04.000of covid cases uh let me just read this here sorry ken i was just going to interject for a moment as
00:35:12.240well as because when our when our viewers watch this video afterwards as well as those who are attending
00:35:17.920today uh this report is very specific to manitoba on providing some of the stats or some of the
00:35:25.600doctors that are named but it applies across canada what we're finding in manitoba in one province it
00:35:33.200will apply to all provinces and when this report is uh sent to the police and filed with them and you
00:35:41.120request an investigation they have a duty and an obligation to investigate within their own province
00:35:49.360they this this shouldn't uh minimize uh we're asking you to share it nationwide and we mean that
00:35:57.440because this the majority of the information applies as well as what ken is going over right now
00:36:02.880federally is that correct ken it's absolutely correct as you as you said the the names of the of the who we
00:36:10.800consider the perpetrators apart from dr theresa tam are manitobans but uh when an investigation is done
00:36:18.000anywhere else it should take that into account the only other information i believe it has to do with
00:36:24.080icu beds and again when you're bringing charges you don't have to prove a dozen crimes you don't have
00:36:31.120to prove two dozen crimes you need to prove one crime and the icu part although it's in manitoba
00:36:36.800and i can't speak for the other provinces that doesn't have to be part of this when you go to
00:36:41.520the police it needs to be investigated the funny thing about manitoba one of the reasons we investigated
00:36:47.440the icus is because every the government of manitoba left a lot of crumbs for us in 2011 they sponsored a
00:36:56.880study by the university of manitoba to look at the numbers of icu beds in manitoba in 2006 and then
00:37:04.640after h1n1 they did a study that said lessons learned from h1n1 of course they didn't learn0.95
00:37:11.040any lessons because they went completely against what that report said and there were other reports
00:37:16.480that were done in and around the 2010-11 range that looked at canada and they and they looked
00:37:22.400at the requirement for icu beds and they said from 2006 to 2010 the requirement for icu beds had increased
00:37:29.12010 percent because of the aging population so what that would tell you is that you should be1.00
00:37:35.520increasing icu beds and we'll get into that but so that's icu bed information is very difficult to
00:37:41.520get in the provinces but we happen to have a whole lot of crumbs to follow right and i i understand as
00:37:47.440well in bc i'd heard this many months ago last year i think it was in the summer as well somebody had
00:37:52.320looked into the icu beds and uh found that that there was definitely no emergency and i believe
00:38:00.160ken you can correct me if i'm wrong but when they designate icu beds they can have thousands of beds
00:38:06.320in a hospital and they can pick uh for the emergency that they're going to designate 20 beds for covid
00:38:14.160so when they report that you know the the beds for covid that they're at capacity they're talking about 20
00:38:20.160beds they're not it doesn't qualify a pandemic they've been very deceptive about this information
00:38:27.680but anyways i just wanted to make that point so you carry on you're doing a great job you know we will
00:38:34.080let's just finish one point on that it's worse than that it's actually worse than that because um again
00:38:40.400we found crumbs that maybe you can't find anywhere else but the um the ndp here who were in opposition
00:38:48.080did a information a freedom of information request from the government and they actually received
00:38:53.840the numbers of icu beds in 2019 and they received the staffing requirements and the winnipeg regional
00:39:03.200health authority had identified so many jobs that were required to staff the beds they had but they
00:39:09.280only had half of the positions filled what i was saying was the ic icu beds is one of the issues is
00:39:16.320staffing so they say they've got whatever 100 icu beds but under freedom of information act
00:39:23.680information we got that the they'd only staffed half of the positions so if they told you they had
00:39:30.560100 icu beds you only had staff for half of them so you really didn't have that and they didn't share
00:39:35.280that with the public now the other things that they did again they were being very deceptive in the
00:39:41.760ways that they were presenting information we all heard the statistic you know that you had a 99.4 or
00:39:48.32098.2 percent rate of recovery for covet that was a lie i i have a little a little uh um example of what
00:40:00.480they did it was what they did was kind of like me saying to you you can't go outside and you telling me
00:40:07.920why and i'm saying well if you go outside and get hit by a bulldozer you had 100 chance of dying so
00:40:13.920you can't go aside it's 100 chance of dying from a bulldozer now that's all a true statement the
00:40:19.440problem with that statement is out of 38 million people in canada last year i'm not sure there were
00:40:24.560any that died of getting run over by a bulldozer so that's kind of the way they developed some of their
00:40:29.280stats what they did was instead of taking the full population in the age group and let's talk about
00:40:35.840canada 38 million people in canada and and and taking the death the the the mortality rate and
00:40:43.440dividing it by 38 million people in order to get an overall uh chance odds of you dying they simply took
00:40:51.280the number of people they tested and they divided they divided that by the number of people who who passed
00:40:56.880away and so what that does is they never tested every single person in canada and they would have
00:41:02.560to test them every single day to find out how many people were actually affected and how many died
00:41:07.920but even if they did that it doesn't take into account the probability of you catching the disease
00:41:14.400in the first place so although as in my example you got a hundred percent chance of dying if you get
00:41:20.240run over by a bulldozer their statistics also neglected the fact to tell you what the chances of getting
00:41:25.840run over by a bulldozer in the first place was so it's very deceptive and and and and if you weren't
00:41:30.720really looking at it and the way we were looking at it you would never know um what's on the screen
00:41:35.840right now is another example and this is um a graph produced by the government of canada which talked about
00:41:43.760um the number of cases in age groups so if you looked at this graph and you saw that 80 year old
00:41:51.920people had you know a 5.4 percent uh chant uh um um you know there were 68 000 of them that were
00:41:58.720infected and then you looked at 19 year olds and you just looked at this you go wow you know 19 year
00:42:04.320olds are at great risk but again this graph is deceptive because there's only a few million people
00:42:11.200in canada 80 years of age and older and there's eight million people in the age group of 19 and younger
00:42:17.920and that's represented by this so so although this is a small little graph that seems to indicate
00:42:24.720that there's not a lot of infections there there's only 1.6 million people in that age group when you
00:42:29.920look at this big long graph that says there was 232 000 people infected 19 years of age and younger
00:42:36.800you look there was 8.1 million of them so if you do a little arithmetic there
00:42:41.280and these are the rate of infection one in so it's like your odds of being infected in this age group
00:42:49.040and you can see that really the two age groups that were the least infected were 60 to 69 at 1 in 46
00:42:56.800your chances were 1 in 46 and 70 to 79 1 in 54. now i also want to point out that this is kind of a
00:43:05.920nonsense analysis because unless you tested every single person in the country every day you wouldn't
00:43:14.080know what the infection rate was they only they tested whatever number of millions they didn't
00:43:18.880test 38 million people every day so it's a nonsense thing and they should have known that and i can't
00:43:24.560believe they didn't know that um well and test testing with a completely flawed uh system that was
00:43:32.160that would never have accurately uh given any accurate uh testing um information anyways right
00:43:39.200like that's absolutely right now yeah we didn't we didn't address that because they'll find experts to
00:43:44.720say that i'm wrong but they can't say have experts to say i'm wrong in this because it's their own words
00:43:49.840now on this page um we talk about again from health canada that 46 percent of the people that
00:43:57.920that they reported as dying from covid had three or more comorbidities but like that's not that you
00:44:05.600stubbed your toe that's serious a comorbidity is a serious issue and and again maybe an example this
00:44:11.520is a true example that happened to me just before we started doing this this report i as an engineer i
00:44:17.680got a phone call from a lawyer who had a client who owned a house in a in a in a rural municipality and
00:44:23.200in the springtime the rural municipality didn't clear the snow quick enough and it flooded the
00:44:28.160yard flooded and its basement collapsed well they of course they wanted to hold the rural municipality
00:44:33.120responsible for that so i went in i looked at the basement and it had been built improperly there were
00:44:39.280five or six or ten serious things the matter with the construction so if the construction hadn't been
00:44:47.040flawed the flood from the rural municipality wouldn't have caused collapse of the building
00:44:51.920and when i phoned the lawyer and i explained though i explained to him what i saw uh she said to me
00:44:59.520well we can't sue and i said you're right because had it not been for the in this house construction
00:45:07.120issues or in a person comorbidities if they didn't have three four five six comorbidities
00:45:13.200covid 19 or in my case the floodwaters wouldn't have caused the collapse you couldn't prove that the
00:45:17.840floodwaters in a court of law that the floodwaters caused the collapse but how come they can do it in
00:45:23.040covid 19 when you have 46 percent with three or more comorbidities you have people going into the icu
00:45:31.120and and from a car accident and they test them for covid and it's a covid occupied uh icu bed
00:45:40.400um so it's it's it's interesting and then in this section uh so so that was some of examples of how
00:45:46.720the government was misleading the public and reporting things in such a way that you wouldn't
00:45:51.200be able to understand and then we looked at uh perspectives on risk and this has to do with
00:45:57.200what we've already talked about people in this age group we talked about that already i won't cover it
00:46:02.000over again and again these are don't be don't be intimidated by numbers and i actually give you the
00:46:07.920raw numbers here you can actually put in your calculator and figure it out yourself it's just
00:46:12.400division and and multiplication and then this was we already talked about this one as well but this
00:46:18.880one i'm going to take just a second or two to look at so we've already seen this one this was the the
00:46:23.680graph that had to do with people 19 years of age and younger and we talked about the odds of just dying
00:46:29.360for whatever reason were about one in six thousand in 2019 and the chance of contracting and dying of
00:46:35.760covid was one in four million so they were so statistics can reported two deaths in that age
00:46:41.600group in in 2020 or yeah 2020 sorry now look at 2019 murders 43 keep in mind there were two covid
00:46:52.000deaths in 2020 reported so in this same age group 43 murders 232 suicides 316 accidents and look at this
00:47:00.640one 20 influenza deaths 10 times the number of influenza deaths can you imagine imagine just for a moment
00:47:09.600the millions or billions of dollars that our government spent on this had they put it into
00:47:15.520suicide prevention there's 10 there's a hundred times more people who committed suicide that year
00:47:22.880than died of covid 19 in that first year and then we looked at you know all age groups so that just
00:47:30.24038 million canadians and and just just being a canadian citizen in 2019 you had a one in 31 one in
00:47:37.280131 percent chance of dying of covid 19 you had a one in 2356 chance so again you know that's uh i can't
00:47:47.680do the arithmetic real quick but i think it's about 20 20 times higher of just dying for whatever cost
00:47:53.760now another interesting thing i'm sorry i kind of thinking things as i go and i know we're short of time
00:47:58.960but the way statistics kind of reports tests they report deaths as the they give a list of 50 of
00:48:06.160the top causes of death and a lot of those causes of death haven't had deaths in years
00:48:10.000matter of fact one of them is scarlet fever i i can't think of the last time we had a scarlet fever death
00:48:15.600um but the interesting part about that is they have a designation called other causes so it's not
00:48:24.560cancer it's not shooting it's not murder it's not suicide it's covid and 21 percent of all of the
00:48:30.240deaths reported were stuck in that group so you don't even know what they are and when you look
00:48:34.480at the percentage of covid deaths it doesn't even come close to that so there's something something
00:48:40.640strange really strange going on there um one of the other things that so this graph here and this
00:48:46.960looks complicated but it's really easy this is the the all the deaths that occurred in canada in 2020
00:48:56.080so along the side here where my cursor is right now those are the um it's not all 50 of the most popular
00:49:03.920uh causes of death because some of them had zero and i just didn't report those um this yellow line
00:49:10.480here now sorry and these are the age groups so we broke it up except for this age group we broke it up
00:49:15.360into five year groups all the way up to 80 plus you can see here the covid deaths reported so one if
00:49:23.120you were 14 years of age and younger one if you were 15 to 19 and you can see that the total they reported
00:49:29.760for that year was um 16 000 or so and this is what i was talking about before right at the very bottom
00:49:37.760uh other causes so statistics canada don't tell you what those are but there were 64 000 of them
00:49:44.000where they didn't identify to us anyway what they died of where you had 16 000 covid deaths and nobody
00:49:50.320said a word about 64 000 deaths that haven't been revealed if you will and then just look at the
00:49:57.200numbers here and it's and we'll get to some a little bit more analysis but uh cancer 80 000 compared to 16
00:50:05.760000 uh let's just look down here um heart disease 53 000 uh let's see accidents uh just about 16 000
00:50:18.640and again 64 000 unaccounted for now what we thought would be interesting is if we for the age group zero to
00:50:28.40014 years of 14 years of age and there's a special reason why we talked about that but if we set your
00:50:34.400risk of contracting and dying of covid 19 as one so that's what we said one x so your chances let's just
00:50:41.360pretend that it's a base and it's one so your chance of committing suicide were 39 times higher
00:50:49.120your chance of getting killed murdered with 13 times higher accidents 127 influenza was 16 times higher
00:50:56.400higher and cancer was 112 112 112 times or 100 and uh it's like 11 000 if you'd like to think in
00:51:04.480percent and then the other thing we looked at keeping this in mind we again health canada told us that
00:51:12.800as of february 11 2022 that the number of serious adverse reactions reported for children in the age group
00:51:21.200from 5 to 11 years of age is 263 adverse reactions per 100 000 children now it's interesting that they
00:51:29.120report it that way because you might think well that's not a lot and they reported that they would
00:51:34.240have given you the number you may have kind of raised an eyebrow so let's talk about that so health
00:51:39.600canada also stated at the time of the report that 2 million 339 000 doses had been administered to
00:51:45.680people five years of age through 11 this means that they caused 6 153 adverse reactions in those
00:51:53.040children and those children had a one in four million chance of getting coveted and dying and i will
00:52:00.560guarantee you that that person they reported as dying was sick with leukemia or something and he died
00:52:06.720with covid or she died with covid so again to put that in perspective um your chance if you set for
00:52:18.960a child zero to 14 years of age and you looked at the risk of getting and dying of covid and you say
00:52:24.240that's the risk was one the risk of your child in the same age group getting a severe reaction to the
00:52:30.720vaccine was 16 000 15 780 times greater than their chance of of of uh uh getting covid and passing away of covid
00:52:44.800and so how is it possible for a doctor looking at those statistics of one in four million which is
00:52:56.000statistically zero it's it's it's it could be it could be anything it's so close to zero and yet you
00:53:04.480have a 15 000 or almost 16 000 higher chance of getting a severe reaction to the uh the treatment
00:53:12.000why on earth would you mandate or try to get children to take the treatment it's unethical it's criminal now
00:53:20.640now just to put that a little because i like to put things in perspective you know we talk about
00:53:26.480these millions and millions of kids if you if you were to take there were six million children in this
00:53:33.440age group if you were to take six billion children and link them arm to arm like this they they form a
00:53:40.080line that stretched from saint john's to tofino and then a little more probably back up to the mountains
00:53:46.640close to calgary that's how many kids that is and one of those kids was reported to have died of
00:53:51.680covid just to put that in so you know you have a trouble we talk about millions how do you envision
00:53:57.200millions that's how and then here we looked at this section that's coming up these were exactly quoted out of
00:54:07.280the the uh the project or the the product uh monographs from pfizer and the monograph is that
00:54:14.880giant piece of paper you know when you get a pill from the doctor there's two pills in there you just
00:54:18.480paid 100 bucks for and there's this big piece of paper you take it out throw it away right
00:54:22.400this is from those um documents and it talks about uh uh allergic reactions uh myochondriitis it talks
00:54:32.160about uh fertility it and it says this is this is this is pfizer's own words fertility it is unknown
00:54:41.040whether comertity which is their commercial name for their for their drug has an impact on fertility
00:54:48.080the immune system may affect immune compromised people so that's right from their own
00:54:56.720product information and and the government of canada and the province of manitoba published those
00:55:03.440documents you could click on it and you could go read it now it also occurred to us and that we
00:55:09.920we should look at um the risk to pregnant women because particularly like we knew somebody a couple
00:55:17.360who were pregnant at the time and the pediatrician was after the wife after after every got to get0.87
00:55:22.560the shot got to get the shot and it caused some trouble between the couple because he wasn't wasn't
00:55:27.280in agreement anyway finally she they had the baby and she immediately got the shot so so we thought
00:55:33.680this is an extremely sensitive group lord knows we've had enough examples of this when you think back
00:55:42.320to thalidomide and some of you may not know what thalidomide was and it caused countless mutations in
00:55:50.960kids kids born without hands and legs and feet and it was advertised by the drug manufacturers as being
00:55:58.240saving children's lives because doctors were um were prescribing barbiturates at the time to pregnant
00:56:05.280women and this thalidomide product was supposed to be safe if they could take it and get the effect1.00
00:56:11.840of a barbiturate but if your child went into the medicine cabinet and drank down your bottle of
00:56:16.400barbiturates they would die so they advertised thalidomide as it could save your baby's life
00:56:22.560then this is this is very similar so we'll talk about pregnant women and again starting off this
00:56:29.200stuff that i'm circling right now is directly out of the pfizer documents which health canada had
00:56:36.160pregnant women 7.11 the safety and efficacy of comertity and pregnant woman has not been established
00:56:45.440that's what it says it still says that to this day it is unknown whether comertity is
00:56:51.040excreted in human milk in other words if you're breastfeeding they don't know if it's going in
00:56:54.560there or not now things have changed a little bit and again i didn't want to get into the experts i
00:56:58.640just wanted to say this is what happened and this is what the manufacturer said uh it says the safety
00:57:05.280and efficacy of comertity in children five years of age uh under five years of age has not been
00:57:12.320established non-clitical non-clitical data reveal no special hazard to humans on toxicity on repeat
00:57:20.480dose toxicity but that that means that they didn't do a study general toxicity they talk about a
00:57:27.840study it was a small study they did in rats and so they assume that that won't affect humans i don't
00:57:33.440know sometimes people might think of us as rats but we don't have the same body carcinogenic
00:57:39.760carcinogenicity in other words causing cancer carcinogenic cancer causing potential was not assessed
00:57:46.160geniotoxic it was not assessed reproductive and development toxic toxicology and they talk about
00:57:56.960uh certain dosages and it was done in rats it wasn't done in human testing so then we get into here and
00:58:03.760we look at some of the misleading extremely misleading documents that were provided by the government of
00:58:09.520manitoba and i have checked ontario and they did the same thing by the way
00:58:16.160it talks about the the the information bulletin that they were the government of manitoba was giving
00:58:21.520out to pregnant mothers starts off by saying that immunization is one of the most important thing uh
00:58:30.480accomplishments of public health over the past 50 years and it goes on to talk about how safe it is
00:58:35.920and there's such a special risk to pregnant women and it's incredible because they're trying to say
00:58:44.560that the mrna vaccines which are a brand new technology that have never been used on humans
00:58:50.240before is safe because they've been using other vaccines for 50 years so at the very best that's
00:58:56.880misleading it in my opinion it's a lot more than that um it doesn't inform it doesn't inform the the
00:59:04.160mother that this is brand new that it hasn't been evaluated on pregnant women that it hasn't been
00:59:10.800evaluated for cancer that it hasn't been evaluated for effects on fertility they don't know how it
00:59:15.520affects a baby i've just read it to you that's exactly what they said but that's not what this
00:59:19.120document says and that's what was given given to people it doesn't talk about um it also it's
00:59:27.120interesting because it it it it dismisses any of the therapeutic that's traditional therapeutic
00:59:35.680medicines that were being used up till now to reduce the risks of certain viruses and there are no
00:59:44.800we've all heard you know over the when people were coming out with different types of of antivirals like
00:59:50.640uh ivermectin or or or other things like that the the government was saying well we can't do that
00:59:57.040because there's no independent peer-reviewed studies on it there are no peer-reviewed independent
01:00:02.800studies of these vaccines none the testings were done by the companies themselves or through people
01:00:09.520they hired to do them and they fought like heck not to release them for 55 years and we're starting
01:00:14.640to see them now it's so to me uh now uh before i get into what i was just going to say let's look
01:00:22.160in here this is another one of these little statistical graphs and it's interesting because
01:00:26.800what we did was in order to figure this out and what were the statistics what were the chances what
01:00:31.440were your odds of of getting covet 19 and dying if you were pregnant well what we did was we defined
01:00:39.040the age of pregnancy between 20 and 39 years of age according to statistics canada the average age
01:00:46.240in 2019 of a woman giving birth was 31.2 so we're pretty close we might be off a little on top end
01:00:51.760or a little on the bottom end and so by defining it that way there were 5 million women in canada0.99
01:00:58.400between those two between 20 and 39 and of those 5 million women 2 890 passed away in 2019 so in that
01:01:08.160age group just because your odds of dying were 1 in 1700 there were 20 deaths of covid 19 in that group
01:01:16.480so your odds of dying of covid 19 were one and a quarter of a million your chances of just dying
01:01:22.320like of cancer an accident murder one in 1700 your chance of dying of covid was one in 250 54 000 or a
01:01:30.960quarter of a million we also looked at how many women died in pregnancy in 2019 and the statistics
01:01:37.920canada reported 24 now you can't now do the arithmetic where you divide 20 you know you
01:01:44.640divide 24 into 5 million because not all 5 million women got pregnant so statistics canada also reported
01:01:51.360how many women were pregnant in 2019 so when you take 24 deaths and divide it by the number of women that
01:01:58.080became pregnant in 2019 your odds of dying because you're pregnant were one in 15 000 just to put that
01:02:05.760in perspective again i know i'm repeating myself your odds of contracting and dying of covid in that
01:02:10.480age group are one and a quarter of a million your odds of dying of cancer or one in 12 000 heart attack
01:02:17.84044 000 influenza there were 29 influenza deaths accident suicide 341 suicides compared to 20 deaths from
01:02:27.120covid and murders there were 39 can you imagine what we would have done with those billions if we would
01:02:33.760invest in them in suicide prevention and uh this is just a graphic showing what we just talked about
01:02:43.280and then we we kind of give some hit points here about about what that all means you know there were
01:02:48.160no peer-reviewed studies on it the effects of the vaccine and you can read that for yourselves
01:02:53.520um there were also uh this was also an interesting thing we found this is a graph you can see it was taken
01:02:59.840from statistics canada and it's talking about the number of births live births that happened in
01:03:06.720canada from years 2014 through to 2021 between 2004 and 2021 there were 20 000 fewer births
01:03:20.480and and keep in mind what we talked about before the population of canada increased over that time
01:03:25.680period by five or six or seven million people but the birth rate went down by 10 000 or 20 000 over
01:03:31.920that same time period between 2019 before covid and in 2020 there was a reduction in births of somewhere
01:03:41.760around 11 000 in one year and i don't know about everyone else out there but in manitoba when we have
01:03:48.000a blizzard and people are stuck inside for a couple of days there is a birth jump in nine months so
01:03:54.640people were locked up for months and months together and yet the birth rate went down by 11 000 over one
01:04:00.560year keeping in mind that even on that one year the population went up by three quarters of a million
01:04:05.120people why isn't anybody questioning that i don't know what the answer is on that it's just the numbers
01:04:12.640and then here again to make it easy we've created these little infographics you can copy this little
01:04:17.600page and give it to somebody this talks about the odds and you've seen these graphs already a couple of
01:04:22.160times this talks about pregnant pregnancy and mrna vaccines and this talks about vaccine safety data
01:04:30.160again not getting into anything that that the manufacturer didn't say themselves again i think
01:04:38.480those just kind of sum up that everything that went before we talk about now in this section we talk
01:04:43.600about harm caused by mitigated measures and when you see something in a box like this in this report it
01:04:48.400means we've taken it from something else and in this particular example this is taken out of the
01:04:52.560canadian influenza study or a pandemic study that was done in 2006 and it talks about masking and it talks
01:05:01.200about um the use of mass and pandemics the section mark 2.6 talks about health care workers and 7.4 talks
01:05:10.160about the general public and the conclusion on the advantages of using masks by well individuals uh talks
01:05:20.640about uh your hands being infected may cause panic if you can't get them might not be able to afford them
01:05:25.920not all members of the public can purchase them it's not feasible to wear so on and so forth and the
01:05:30.240conclusions were that we shouldn't be doing that and again we go on into that same uh pandemic study
01:05:39.600and we look at forced mandated vaccinations and we see what this is the news release that health canada
01:05:46.400put out when they came out with the um with the coveted vaccines and they're talking about
01:05:52.160how they were proven to be safe it's unprecedented the safety of these things
01:05:58.640when they didn't know what the safety was and and the manufacturers said they didn't know
01:06:03.760um they talk about this is again from the government of canada talking about what the
01:06:07.600effectiveness and i don't need to spend a lot of time on that we all know that's not true
01:06:11.920and it's just by the numbers um this was really interesting i found and and
01:06:22.320statistics canada had a site on there where you could go on and you could check
01:06:26.320the related side effects to the coven 19 vaccines in canada and last year you could actually put in
01:06:32.640there uh they had a number of choices you could put them where they hospitalized were they not
01:06:36.320hospitalized and you could put in death and it gave you the number of deaths and they removed that
01:06:41.760it's no longer on there so don't you think that in order to make an informed decision about taking
01:06:48.320this brand new technology into your body you'd want to know if anybody died of it
01:06:52.400but health canada or statistics canada removed that from their website so you had no idea how
01:06:57.280many people died ken could you increase the page to 150 so that we can see that better because this
01:07:06.000is just such incredible information and i don't want you to feel rushed because i want to be able to
01:07:10.800take this video afterwards and uh post it and share it not only on our website but to you we'll include
01:07:17.840the report in the description because not a lot of people can navigate and read a report like this
01:07:23.600but uh you know to be able to have you walk us through it i think is extremely helpful so don't
01:07:29.840feel rushed okay super i you may have to do you have one of those buttons where you can push it
01:07:35.600or get everybody a little shock to wake them up now the other thing here is i've included some other
01:07:41.360things here now the interesting part about another interesting part about this is this in the canadian
01:07:48.960pandemic influenza plan and in anybody who's honest with themselves if you brought on a new technology
01:07:58.400you're going to inject it into people's bodies you would really think you would monitor the effects of
01:08:03.760that you'd make it mandatory that if something happened they'd have to report it or you'd have some
01:08:09.200kind of a system where they checked on patients that's not what we did we injected how many million
01:08:15.520canadians with this stuff and our reporting system for adverse reactions was a voluntary one that most
01:08:21.520people have never even heard of and it's the same in other places in the world this is the cdc
01:08:29.920bear system and it's reporting how many uh people uh were affected by various different uh uh vaccines
01:08:38.320and it's a voluntary system now once again brand new technology never been used before we don't
01:08:46.480know the long-term effects never been tested on pregnant women never been tested on children
01:08:51.120the risk to children of getting the disease and dying of it is statistically zero the risk of causing
01:08:58.880harm is sixteen thousand times higher and yet you didn't put in place a monitoring system that was
01:09:06.000mandatory i know many people who had significant side effects and went to the hospital and it was
01:09:13.200never reported so how would they know what was going on uh typically on the on the american system
01:09:19.920it's called the bear system there's been already they've been arguing for decades on it that it
01:09:25.200under reports the numbers by somewhere between 10 and a thousand times so you have to ask yourself did
01:09:32.000they want to know did they want you to know maybe they did i don't know but it just isn't something
01:09:38.880doesn't sound right there and there's also um uh is there also some really interesting parts in the data
01:09:49.680this graph here is is uh from the pfizer and it talks about some of the testing they did and just to
01:09:56.240show you how how precise their testing was so they had 42 000 people involved here they identified 29 000
01:10:05.760is female 9 000 is male and they don't know what the other 29 3 000 people are so they were really
01:10:13.920being precise um they talk about age range unknown out of 42 000 6 876 didn't know how old they were
01:10:23.680and then case outcomes is is really interesting too so uh 19 000 were recovering this is after uh
01:10:32.320side effects caused by the vaccine um not recovered at the time 11 000 fatal 1223 out of 42 000
01:10:42.080unknown so almost 10 000 almost 25 of those numbers they didn't know what happened but they still
01:10:49.760approved it to go into the general population