Once the data is put into context, clear proof emerges that gross negligence on the part of government policymakers directly led to the preventable deaths of thousands, most especially among the most vulnerable that the government claims to be trying to protect. The data also makes it crystal clear why "two weeks to flatten the curve" turned into a never-ending 15-month nightmare and why lockdowns as a strategy were a misbegotten fantasy that was doomed from the start.
The remarkable story told by the data exposes in almost comical relief just how shamefully the government whipped the public into fear by cultivating a sense of vulnerability that is entirely out of touch with reality. But the data set goes even further than that. Written in black and white in the government's own official numbers, published by the Public Health Agency of Canada, lies the evidence that the blame for much of the dying lies squarely in policymakers' hands for decisions taken on its turf, behind institutional walls, and not with the individual actions and choices made by citizens out in the broader community.
No matter how familiar you think you are with the chaos that has unfolded over the past 15 months, I guarantee you there are surprises in this investigative report for everyone. And I believe it contains the conclusive evidence to hold our leaders legally accountable for the lethal consequences of abandoning long-established pandemic protocols, which were meticulously-documented in the WHO's 2019 pandemic planning guide and which were specifically designed to prevent the epidemic of fear and DIY ad-hoc rule-making that have been on display throughout this crisis.
So, over the coming paragraphs I am going to take you on a guided tour through the pandemic, simply by providing context to the numbers. The tour starts slowly with revelations that you would expect if you have been paying attention over the past year and a half. But as the layers of evidence begin to stack up, one on top of the other, and the implications of each layer become clear, the fog of the last 15 months of chaos will begin to lift. What emerges is a shocking story of scientific misconduct and breach of trust, which reveals the horrifying - and deadly - consequences of stripping data of context and allowing government to evade transparency.
I have laid out this horrifying story to help us all gain perspective, to serve as a tool to rescue loved ones from the government's shameless fearmongering, and to provide lawyers with a fully referenced framework, with links to original data sources throughout the text and/or in chart captions, to help them build cases to hold these people accountable for what they have done.
Table of Contents:
- Prologue: Dr. Bonnie Henry lands a whopper - not every lie requires false data to tell a false story.
- A little housekeeping: opening statements.
- I - The Outbreak Data
- II - Risk
- III - A Tale of Two Populations
- IV - The Old, the Dying, and Who Is at Fault
- V - The Story of the Pandemic, Told by the Numbers
- VI - Exposing the Fantasy: How Lockdowns, Masks, and Fear Made the Dying Much Worse
- VII - Evaluating the Vaccine as an Exit Strategy.
- Exhibit N: The opportunity cost of waiting for a vaccine and ignoring pandemic planning guidelines.
- Exhibit O: Is informed consent even possible for people who already have herd immunity? Implications of the Nuremberg Code.
- Exhibit P: Bypassing parental guardianship - do children really understand their risks without parental oversight?
- Exhibit Q: When government goes "all-in" on one strategy, all others are pushed aside. The sorry tale of Ivermectin and its unpopular friends.
Prologue:
Dr. Bonnie Henry lands a whopper - not every lie requires false data to tell a false story.
One of the most powerful tools in a magician's toolkit is the art of misdirection: using flashy cues that naturally attract the public's eye in order to distract from that which the magician does not want you to see. But the most skilled masters in this art are politicians and public officials who use it to manipulate public opinion and distract from their own misdeeds. "Cases, cases, cases", anti-lockdown protests, anti-maskers, the pastors that opened their churches, the restaurant that refused to close - these convenient scapegoats are the noisy tools of misdirection exploited by our government throughout this crisis. Now I'm going to turn the camera angle to expose the illusion and show you what the magician has been trying so hard to prevent you from seeing.
I'm going to start this tour of the pandemic with a brief example of the kind of flagrant misrepresentation of data that has been utilized by health authorities and the media throughout this crisis. This example also introduces some of the key themes and background details that will accompany us throughout the rest of the scandal.
On April 19th, the Vancouver Sun published a story about the COVID-linked death of an infant under two years old:
Figure 1: Dr. Henry referenced the death of an infant under 2 years old to remind everyone of the vicious nature of this virus. Context was dangerously absent from this statement. |
Dr. Bonnie Henry, BC's provincial health officer, took the opportunity to tell the public that the infant's tragic death "reminds us of the vicious nature of this virus." The fear sparked by the headline and by Dr. Bonnie Henry's statement is palpable. Yet buried in the text of the article is the missing context. Dr. Henry was using the magician's tool of misdirection to hide what was in plain sight.
Figure 2: Excerpt from the Vancouver Sun article in figure 1. |
This article is an excerpt from my new book, now available on Amazon in paperback, large print, hardcover, and e-book #CommissionsEarned |
Now I recommend that you go get yourself a cup of coffee and find someplace comfortable to sit. Because clearing a path through a 15-month scandal takes more than a few paragraphs, but I promise it will be worth every minute of your time.
A little housekeeping: opening statements
Before I begin untangling this scandalous web of lies, here is Health Canada's official definition of an outbreak, just so we are all on the same page as the conversation switches back and forth between deaths linked to outbreaks versus deaths that are not:
Figure 7: Outbreak - official definition used by Health Canada |
Figure 8: The original data: outbreaks by setting. Canada COV ID-19 Weekly epidemiology report, published April 30th, 2021 |
I - The Outbreak Data
Figure 9: Average number of cases per outbreak (reported cases ÷ reported outbreaks). A tall column = large outbreaks. A short column = small outbreaks). From data shown in Figure 8, calculations in the notes. |
As you can see, the largest outbreaks are community spread. The average outbreak in enclosed settings like schools, restaurants, gyms and even long-term care facilities is smaller than outbreaks caused by just living life in general. It becomes clear that schools, restaurants, gyms, retail stores, etc do NOT cause larger outbreaks than any other settings, despite being the focus of much of the government's ad-hoc rule making.
If anything, restaurants, schools, gyms, and retail stores produce the smallest cluster of cases if an outbreak does occur.
But there is one category that should really spark your curiosity because it is missing altogether. Travel.
Figure 10: Statistics Canada's records show more than 4.5 million travellers entered Canada during the rush home in March of 2020, and another 10 million travellers entered the country ever since. Yet rather tellingly, travel did not cause sufficient outbreaks to warrant its own category in the outbreak data set. |
Despite more than 4.5 million travellers entering Canada during the peak rush to come home in March of 2020. Despite more than 10 million travellers, an average of over 900,000 per month (!), entering Canada in a steady stream ever since. Despite a significant portion our political classes having travelled to the Caribbean over the winter holidays. Despite the lack of social distancing on airplanes. Despite the millions of travellers who were crammed together at border checkpoints as they waited to get through airport customs and receive medical screenings at the start of the pandemic when the government asked millions of Canadians to come home, all at once (remember the photos and the outrage in the news?), at a time when the government was still telling us that masks and social distancing were not a thing (more on that later).
Yet travel did not even warrant its own category as a source of outbreaks.
This is the first of a long list of clues exposing how health officials and media have encouraged fearful beliefs about the behaviour of this virus, which are completely out of sync with the story told by the government's own numbers.
Figure 11: Toronto Star, May 7th, 2020 |
But while the location of infections is clearly not playing a big role in the size of outbreaks, there is a huge difference to how deadly outbreaks are in different settings. Not all outbreaks are created equal. The next exhibit is where the story starts to get interesting and population-wide lockdowns start to fall apart.
Exhibit B: How deadly are outbreaks in different settings?
Figure 12: Deaths per outbreak (reported deaths ÷ reported outbreaks). Not every setting has the same kind of people in it. Tall columns are places where high-risk people hang out. Short columns are places where low-risk people hang out. From data shown in Figure 8, calculations in the notes. |
I have highlighted this seemingly obvious statement because it is an important building block to understand the eye-popping layers that come later in this story. It foreshadows the first glimpse of the scandal, which will become clear and clearer as the layers add up.
Another way to look at the outbreak data is to look at what percentage of infections (i.e. cases confirmed by a PCR test) will lead to death in each setting. It reinforces what was clearly shown in exhibit B. Infections in different settings lead to very different outcomes.
Figure 13: Percent of cases that lead to death in outbreaks, by setting. (reported deaths ÷ reported cases x 100) Tall columns = high risk of death. Short columns = low risk of death. From data shown in Figure 8, calculations in the notes. |
It takes very few infections to lead to an outbreak-linked death in a long-term care facility (1 in 5). But boatloads of people can be infected in nail salons (no outbreak deaths), restaurants (1 in 1004), churches, gyms, and stores (1 in 752), and schools (1 in 9016) while producing next to zero fatalities. Living your life is not dangerous. Having a severe pre-existing health condition or a severely compromised immune system are necessary pre-requisites before you have cause to worry.
Apparently those who are sufficiently vulnerable to be at an extreme risk of a dying from a COVID infection are also already so sick and/or so restricted in their ability to move about the community that very few of them are actually visiting any of these other locations. In other words, those who are extremely vulnerable are either so sick or so incapacitated before catching COVID that the majority of them do not go to gyms, restaurants, churches, or nail salons. If they did, these settings would not have so few outbreak-linked deaths. Their pre-existing health conditions are so severe that their health conditions are effectively filtering them from the rest of the community and keeping them bottled up at home or in health care facilities.
Assessing your personal level of risk from this virus begins by understanding the story told by the simple chart in figure 13. It highlights that people with pre-existing conditions face a much higher risk of death if they catch COVID. The sheer size difference between columns should start making anyone not familiar with these numbers start to sit up and take notice. Let's quantify those differences.
Exhibit D: Relative risk - not all outbreaks are created equal.
The different heights of the columns in the previous graph illustrate the difference of risk in different settings. The eye-popping realizations begin when we start crunching the numbers to see just how big the difference actually is. It's absolutely mindbogglingly enormous! Yet this nuanced detail is almost universally absent from the public messaging surrounding this virus.
- For example: an infection at a school is 1,668 times LESS likely to result in death than an infection at a long-term care facility and 683 times LESS likely to result in death than an infection at a hospital. This virus is not a vicious beast preying on children. It is the Grim Reaper calling early on those already teetering on death's door.
- A less awkward way of expressing this it is that restaurants are 186 times safer than long-term care facilities and 76 times safer than hospitals.
Gyms are 139 times safer than a long-term care facility and 57 times safer than hospitals.
- Working in a meat processing facility is 110 times safer than being a resident at a long-term care facility and 45 times safer than being a patient at a hospital.
Common sense tells us that it is not the buildings themselves in each of these settings that changes the level of personal risk, but rather that it is the specific characteristics of the people who are hanging out in them. To a large extent, that's true, but only up to a point. As you will soon see once we get to the meat of this scandal, some of the buildings involved in these outbreaks (and specifically the terrible decisions being made by those who manage them) are actually the most significant part of this whole scandal. Vulnerability + bad management = death. As you will see as the story continues to unfold, infections that result in death almost always require both of these ingredients. One is rarely enough.
For those who would like to play with the math themselves to compare risks in different settings, here are the raw numbers from the previous graph:
Figure 14: Deaths per 100 cases (a.k.a Case Fatality Rate), by setting. From data shown in Figure 8, calculations in the notes. |
One-size-fits-all policymaking is ridiculous when different demographics have such different levels of risk.
This was the tip of the iceberg...
III - A Tale of Two Populations
I think we can agree by now that when the virus goes on the hunt, it is finding different kinds of prey in different settings. The most vulnerable prey are those living in long-term care homes, as well as patients in hospitals who are already suffering from other serious pre-existing conditions, like Alzheimer's, dementia, cancer, or leukemia.
Children, office workers, mall shoppers, personal care clients, gym-goers, restaurant guests, and industrial workers rarely have such severe life-threatening pre-existing conditions that they become easy prey for this virus. The virus can infect them. But the overwhelming majority of these encounters have a happy ending. A significant number of them will not even experience a single symptom. Mild pre-existing conditions, which many active people in the community have, are not a death sentence. Severity matters.
So how many of the total outbreak-linked deaths are from infections caught in these two very specific high-risk settings: long-term care and hospitals?
Hold on to your hat... a full 97% of outbreak-related deaths are in long-term care & hospitals/healthcare!
Add prison populations and that number rises to a full 98.6%!
And I promise, you'll soon understand why I have chosen to add prisons to this select group of settings.
Figure 15: Outbreak-linked deaths by setting: 98.6% of deaths are linked to outbreaks in just three settings: long-term care facilities, hospitals, and prisons. From data shown in Figure 8, calculations in the notes. |
If you thought that 98.6% number was surprising (it surprised the heck out of me, which is why I started digging deeper into this data set in the first place), I'd now like to point out exactly what these three settings are. The people in these three unique settings are essentially captive populations that are permanently or semi-permanently segregated from the rest of society inside government-owned or government-regulated institutions. (Note: Privately-run nursing homes fall under this category because they are extremely tightly regulated by the government in order to acquire and maintain their licenses. They are privately owned, but they operate according to the government's rules.)
All three are institutional settings. Everyone who lives in these three settings is either a resident, a patient, or a prisoner. They don't go home at night. They don't mix with the rest of the population. They live there, permanently or semi-permanently. The only way they get to mingle with us is if we visit them. And we are only allowed in after staff members look us over, test us, and let us through the door. The people inside these settings already live behind an institutional wall. They permanently live under some form of lockdown, even when the rest of society does not.
I'm going to say it one more time, because it's so important to everything else that comes next:
They already live behind an institutional wall.
Which means that, despite all the shaming about our desire to have a BBQ in our backyards with our friends, 98.6% of outbreak-linked deaths are from infections caught and spread inside the walls of tightly controlled institutional environments, not out in the community.
For the past 15 months these institutions have been closed or severely restricted to the public. If the virus makes it in, it is because staff brought the virus with them to work or when health officials transferred patients from hospitals into long-term care in order to free up hospital beds. !?!
There is an equivalent of a medieval wall separating the people living inside these institutions from those living outside these walls. Their world and our world is permanently separated by an institutional barrier. There is a door that leads between these two worlds, but the government has the choice to close that door, even seal it, at any time.
As long as the government defends that institutional barrier between our two parallel worlds whenever there is a virus circulating outside, the rules imposed on those living outside are largely irrelevant to those living inside. These institutions were designed to function that way. During bad winter flu seasons, staff of long-term care homes have the option to shut the doors and live on the inside with their patients for a few weeks while the worst of the flu surge passes through the population outside.
Most pandemic waves last around 6 to 8 weeks +/-, and then the doors can be reopened.
That is how long it takes for most respiratory viruses to surge through a healthy population when general population-wide lockdowns are not used to slow the spread. But "flattening the curve" stretches that 6-week period into months, now over a year, and there still isn't enough natural immunity built up outside the walls to safely reopen the doors between these two separate worlds. Isolation kills in its own right. And defending a door for 15 uninterrupted months all but guarantees a steady stream of mishaps that let the virus through the door (more on that later).
98.6% of all outbreak-linked deaths are the result of infections caught inside these institutional barriers. Only 1.4% are linked to outbreaks in the community at large. That context is probably starting to grow a queasy feeling in the pit of your stomach about how this pandemic is being managed. But this is just the beginning of the scandal.
I'm going to reorganize the data from the pie chart in figure 15. I'm regrouping all those deaths into two very simple categories because this important distinction sets the stage for the next set of big eye-popping revelations:
- Institutionalized People (deaths in red column)
- The Rest of Us (Community) (deaths in blue column)
Figure 16: Outbreak-linked deaths the "General Public" versus outbreak-linked deaths among people living in institutionalized settings (i.e. long-term care, hospitals, prisons). From data shown in Figure 8, calculations in the notes. |
At this point of the story I'm sure it has become quite clear just how specific this crisis is. Despite the fact that the virus is clearly circulating on both sides of that institutional barrier, the vast majority of the deaths are linked to infections spreading on only one side of that barrier. This is not a general population crisis; it is an institutional crisis.
Here is one more shocking view of what is happening on either side of that institutional divide. The little numbers on the pie chart are the actual raw numbers of outbreak-linked deaths in Canada. 13,611 deaths linked to infections caught on the government's side of the institutional divide. And only 178 deaths linked to infections on our side of the institutional barrier. 13,611 vs 178. Those are the hard numbers illustrating the differences of what is occurring on either side of that institutional divide.
Figure 17: Outbreak-linked deaths, based on the location where the infection occurred: either behind institutional walls defended by government, or out among the general population. From data shown in Figure 8, calculations in the notes. |
And don't worry, I will soon bring the other 10,613 deaths not linked to outbreaks into the story as this scandal continues to build. We'll climb this layer cake one layer at a time.
IV - The Old, the Dying, and Who Is at Fault
Now that we've taken a little pause to consider the first of the implications of what we've discovered so far, let's dive back into the data. Because now I am going to really blow your socks off. I am going to give you perspective on just how tiny that institutionalized population is and how badly fear is being blown out of proportion for those living outside of this institutional barrier. Put on your seatbelts, because this is where magnitude of the scandal really becomes clear.
Exhibit I: Risk to the elderly living inside vs outside institutional settings.
To expose the next layer of the scandal, I first need to take a small step backwards. The following chart is the age distribution of all 24,402 COVID-related deaths in Canada:
Figure 18: Age distribution of COVID deaths. Source: Canada's official daily epidemiological updates |
You have probably seen the chart in figure 18 before. According to this chart, approximately 86.7% of all deaths in Canada are among people who are 70 and older. That rises to 95.3% if you include those between the ages of 60 to 69. That gives the impression that we are facing a pandemic that preys predominantly on the elderly. There is a kernel of truth to that statement, but only a very small kernel, because unless the age distribution data is combined with contact tracing details to identify the source of each fatal infections, this age distribution data creates a wildly distorted sense of risk.
According to Statistics Canada, there are approximately 9.4 million Canadians over the age of 60 living in Canada today. That's approximately 25% of the population. This demographic would appear, based on the impression created by Canada's age distribution graph, to be the demographic most at risk from the virus.
But let's go back to the outbreak data.
The outbreak data showed that 98.6% of all outbreak-related deaths are among cases caught inside institutional walls. And this is where any last remnants of doubt holding together the lockdown fantasy really come unglued.
Not all elderly with pre-existing conditions live inside institutional walls. Sounds obvious, right? But watch closely to what happens next as I put some numbers to the actual size of the high-risk populations living on either side of that institutional barrier.
- Long-term care residents: according to Census data, there are approximately 160,000 people living in long-term care facilities in Canada. Most (but not all) of those 160,000 long-term care patients are seniors (long-term care also has some younger residents with mental illness, handicaps, head injuries, and other severely debilitating conditions), but for the purpose of this exercise we can pretend they are all extremely vulnerable elderly.
- Hospital beds: there are approximately 95,000 hospital beds in Canada.* Clearly not all are filled with grievously ill seniors. There are also children's hospitals, maternity wards, ER wards, COVID treatment wards, and so on. And not every bed was full (in Ontario, hospital capacity rarely exceeded 90% at any time during this pandemic and even fell to historic lows (below 70% occupancy) during the first wave, although you may have gotten a different impression from statements of health officials and the scare stories promoted by the media. I have included a chart from Ontario to back up my claim in the notes at the base of this investigative report (figure 56) along with a chart from the UK (figure 57), which demonstrates that low hospital utilization was not unique to our country**. I have also extensively documented the misrepresentation of overwhelmed hospitals in Canada during COVID in a previous article). So, although there are clearly far less than 95,000 seniors living as patients in hospitals in Canada, this number does put an upper bound on the maximum number of seniors that could be exposed to infection inside hospitals at any given time.
- Prisons: Canada has approximately 37,000 people incarcerated across the country. Obviously only a small proportion are likely to be elderly, but again it puts an upper bound on the maximum number of law-breaking seniors that could be serving time in prison at any given time. That's good enough for where this story goes next.
That adds up to a maximum total of 292,000 potential seniors living inside these three institutional settings where 98.6% of the outbreak-linked deaths are occurring, versus at least 9.1 million seniors who live outside of this institutional barrier. A ratio of 1 to 31.
The following chart puts the size of these two elderly populations in context. Green is the minimum number of elderly living outside institutional walls. Red represents the maximum number of elderly living inside institutional walls where 98.6% of the outbreak-linked deaths happened.
Imagine for a moment that every single outbreak-linked death had happened in one of these two elderly populations. That would mean 13,611 outbreak-linked deaths occurred among this tiny population of 292,000 elderly living on the inside of the institutional barrier account. Versus only 178 outbreak-linked deaths in a population of at least 9.1 million elderly living outside of the institutional barrier. Our side of the institutional divide looks pretty safe. The government's side of the institutional divide is a disaster zone.- Stroke,
- Heart disease,
- Chronic lung disease,
- Cancer,
- Chronic obstructive pulmonary disease,
- Diabetes,
- Alzheimer's, Parkinson's, or dementia,
- Kidney disease requiring regular dialysis,
- Morbid obesity,
- People receiving palliative care at home,
- People living with HIV who take retrovirals to suppress their immune system,
- People like my own father, who is head injured and requires 24-hour home-based care and almost always ends up with severe live-threatening pneumonia when he catches a cold. If my mother did not make the huge effort to provide home-based care, he would be living inside one of these long-term care facilities. And he would be among their most vulnerable residents.
Data from the USA on the number of people living with multiple chronic conditions allows us to guesstimate what kind of numbers we're talking about. Canadians are slightly healthier, but these numbers get us in the right ballpark.
Figure 20: Percentage of Americans living with multiple pre-existing conditions (source). |
So, let's redraw the same chart shown in figure 19 by projecting the American percentages onto the Canadian population to identify what percentage of the 9.4 million people over the age of 60 are living with multiple chronic conditions in Canada today.
- If 50% of people between the ages of 60 and 65, and 81% of people over 65 are living with multiple chronic conditions, we get the ballpark figure of 6.8 million Canadians over the age of 60 living with multiple chronic conditions. This paper by the Canadian Institute of Health Information shows that 74% to 79% of Canadians over the age of 65 have at least one and 50% have at least 2 chronic conditions, but the paper does not include data on 60- to 65-year-olds. So, my guestimate using US numbers is not exact, but it get us in the right ballpark and allows us to understand how risk is divided between those living inside versus those living outside these institutions. Even if we generously pretend that all 292,000 residents inside these institutions are elderly with multiple chronic conditions, that still leaves over 6.5 million elderly Canadians with multiple chronic health conditions living outside of institutions. Yet, at most 178 outbreak-linked deaths can be attributed to this vast vulnerable population living outside of government-controlled walls.
The simple solution is that those on the outside have their own front door - their own defensive wall. Whereas those who rely on the government to defend them behind their institutional doors are being ravaged by this virus, seemingly without end, despite their tiny population. The tightest lockdown in the country, that of institutions, where every move made by every person inside can be controlled, is proving worthless despite being every Central Planner's dream come true. Yet everyday people that the government cannot control, but who are given information and retain the right to make their own choices about whether to leave their homes or bolt their front doors, are coming through this just fine.
➤ June 5th update: a research paper published in the Lancet on March 17th, 2021, about the situation in Sweden came to the same conclusions: risk of death is much higher for those living in care homes, and pre-existing conditions are far more important than age. Here are a few quotes:
"The results suggest that age alone is not necessarily a risk factor for COVID-19-specific death, beyond the “normal” risk of age that is present in absence of the pandemic."
"Of special note was the relatively higher excess mortality among groups receiving care, suggesting that health status plays a more important role than age for COVID-19 associated deaths. Part of our findings may be attributed to differences in exposure to the virus between individuals receiving formal care and those living independently."
~
If you have a little nagging doubt about the clear-cut story I've laid out so far, then you have been paying attention. Because there is an important loose end that needs to be tied up before I take you into those institutions to explain the scandal that has led to such a high death toll inside them. This scandal is about much more than just numbers presented without context and lies uttered to conceal incompetence. It is about gross criminal negligence causing death. But to credibly reveal the crime, I first have to deal with the other 10,613 deaths that aren't accounted for in the outbreak data.
V - The Story of the Pandemic, Told by the Numbers
Exhibit J: Let's bring in the rest of the data - ALL deaths by setting.
Now that you understand this institutional barrier, which effectively divides Canada into two separate populations, it's time to bring in the rest of the data not included in the outbreak data set. Let's see how much the picture changes when ALL Canadian COVID deaths are held up against this institutional divide.
- The Canadian Institute of Health Information has confirmed that 69% of all COVID deaths happened in just one setting: long term care. Using that number, 69% of the 24,402 total deaths recorded on May 7th is 16,837 deaths in long-term care. Since 12,541 long-term care deaths are already accounted for by the outbreak data (figure 8), that adds another 4,296 deaths to the government's side of the institutional barrier.
- If deaths not linked to outbreaks were happening at the same rate as outbreaks in each setting, we would have expected 9,647 (90.9%) of these 10,613 deaths to have occurred in long-term care. Instead, at 4,296, we only got 45% of that, which makes intuitive sense. Infections in closed institutional settings with vulnerable populations are easier to contact trace, so we would expect deaths not linked to outbreaks to be more common outside of institutional walls. So, we will use this same 45% number to guesstimate deaths linked to hospitals and prisons.
- The outbreak data (figure 8) showed that 1070 outbreak-linked deaths were linked to infections in hospitals and prisons (844 + 226). So, if the ratios from the outbreak data held true, 817 (7.7%) of the remaining 10,613 deaths would have occurred in hospitals and prisons, but again we'll reduce this to 45% of that amount to account for the fact that it is also easier to contact trace in hospitals and prisons. So, we'll add another 368 deaths to the government's side of the leger. This number is so small that it essentially doesn't matter which side of the ledger they go on in the context of the story.
- And that's it. That's as all the extra info we have. So, we'll give the government the benefit of the doubt and assign the balance - 5,949 deaths - to our side of the ledger (community spread). Here's what the end result looks like:
These numbers make intuitive sense. But they also continue to expose the dramatic difference in death rates on either side of the institutional divide. 75% of all deaths are linked to infections in institutional settings.
75% of all deaths constrained among the tiny population of 292,000 living inside government-controlled institutions. Versus only 25% of all deaths spread out among the 38 million Canadians living outside of government institutions, including more than 6.5 million vulnerable elderly with multiple chronic conditions!
Just to get a little extra visual perspective, let's recreate a similar chart to the ones shown in figure 19 and 21 to demonstrate the size of each of these populations on either side of the institutional barrier and how deaths are divided between these two separate worlds:
Figure 23: Population living inside institutional settings (red) versus everyone else. And how deaths are divided between these two populations. |
Figure 24: The government can't even protect the 292,000 people under its care. The public seems to be doing just fine by comparison. |
It also is worthwhile to reflect back on the 14.5 million Canadians who have travelled into Canada since the pandemic began. Travel didn't even warrant its own category in the outbreak data despite all the PCR testing and contact tracing that focused almost exclusively on travellers throughout the first wave of this pandemic. Yet the tiny population of only 292,000 people living inside institutions (1/50th the number of travellers) managed to rack up 75% of ALL deaths.
On January 29th, 2020, as health authorities first began to take notice of the virus spreading around the world, Canada's Chief Public Health Officer, Dr. Theresa Tam, warned that "the epidemic of fear could be more difficult to control than the epidemic itself" and that "any measures that a country is to take must not be out of proportion to the risk." Dr. Tam correctly identified that the greatest risk of pandemic management is fear itself. Yet in the months that followed her warning turned into a prophesy, driven in no small part by her own public messaging.
The following screenshot comes from the WHO's 2019 pandemic planning guide. It shows the different levels of health measures that a government can use to manage pandemics of various degrees of severity. The reason why these guidelines were created was not just to prevent panic-driven mistakes made in the heat of the moment, but just as importantly to limit government action in order to prevent sparking fear among the population. These guidelines are based on decades of research and on experiences gained from previous respiratory virus pandemics. Study this list carefully. Every limit placed on the government appears to have been ignored.
Figure 25: Recommended public health measures suitable for pandemics of different severities. From the WHO's 2019 pandemic planning guide. |
The measures used by the government during COVID are "off the chart." Contact tracing, quarantine of exposed individuals, entry screening at buildings and stores, and border closures are not to be used under ANY circumstances. Not only do these "off-the-chart" measures not work (i.e. experience shows that by the time you close the border, the virus is already circulating inside), they also heighten fear, which risks triggering panic in the population.
The fact that government also used workplace closures, internal travel restrictions, and school closures would all suggest that we faced a pandemic of high or extraordinary severity. 24,402 deaths sound like a lot, right? You be the judge:
How severe was the COVID pandemic compared to previous years with normal mortality? The annual total of deaths (all causes) released by Statistics Canada allows us to compare the 2020 COVID year to previous years:
Figure 26: Total annual deaths per 100,000 (adjusted for the growing population size) from February of 2011 to February of 2021. The trendline laid across the top of the peaks illustrates the long-term growth in deaths attributed to an aging population. Extension above this trendline in 2021 illustrates the magnitude of the extra deaths during COVID beyond the peaks of previous bad flu seasons. Extra deaths are either caused by COVID or by the lockdown measures. Source: Adapted from @Milhouse_Van_Ho (link to original) - the most accurate source tracking official Canadian government COVID data on the internet, found exclusively on Twitter with data sourced from Statistics Canada. |
The blue column represents the first year with COVID and captures the first and almost the entire second wave (see figure 3 for reference). Yet it barely extends above the trendline laid out by previous bad flu seasons.
The other thing worth noting is that bad years are typically followed by mild ones. This is not necessarily a result of a more deadly strain of virus. The best analogy, however brutal it may be, is to compare it with the dry tinder that builds up in a forest, waiting for a spark. After a big fire, the forest becomes relatively fire-resistant until enough fresh tinder builds up again. In a flu season, the tinder is, sad to say, the population of vulnerable citizens living, especially (but not exclusively) those living in long-term care facilities where it is particularly challenging to prevent the virus from spreading among residents if it gets inside. COVID comes on the heels of two milder years following the deadly winter flu year of 2017/18 (I provide many examples in this article demonstrating how badly hospitals were overflowing during the 2017/28 flu season). The virus is real, but it is far from a once-in-a-lifetime pandemic like the 1918 Spanish Flu.
These numbers may surprise you. 24,402 deaths represents approximately 8% of the total number of people that die in Canada every year. The blue column in figure 26 is nowhere near an 8% bump over the numbers of previous years, even if you measure off the bottom of the 2019 trough. It is easiest to explain this strange phenomenon by looking at this statement in a recent article, made by BC's chief medical officer for the Interior BC region, Dr. Albert de Villiers:
Figure 27: Source: Castanet News, Kelowna, BC, Half of deaths unvaccinated: May 21st, 2021 |
In other words, what Dr. Albert de Villiers is pointing out is that many COVID deaths are deaths with but not from COVID. People who died of other causes but also had a positive PCR test, even if they showed no symptoms from COVID itself. Including people already receiving palliative care - these are people who are dying, imminently, within days or weeks, and there is no longer anything that can be done to stop it.
Figure 28: Toronto Public Health confirmed on June 24th, 2020, that case counts include deaths with COVID that were not necessarily caused by COVID. |
Figure 29, below, uses Statistics Canada's own data to provide a clue of just how many "COVID" deaths may have been deaths with instead of from COVID. Look at the first three columns in particular - does COVID cure heart disease and cancer? It seems more likely that heart disease and cancer patients who would have died anyway were either misattributed to COVID as a result of a concurrent positive PCR testing, as described by Dr. Albert de Villiers in the Castanet news article, or bad management inside long-term care exposed them to the virus, robbing them of the last few weeks or months of their life by pulling their death forward - the straw that broke the camel's back a few weeks or months early.
Figure 29: Causes of death during the first year of the pandemic. Adapted from @Milhouse_Van_Ho (link to original), with data sourced form Statistics Canada. |
It's not just the deaths of the elderly that are affected by this phenomenon. In an article in the Toronto Sun on May 21st, 2021, the Public Health Agency of Canada confirmed that only 36.6% of children hospitalized with COVID were actually admitted with a COVID infection. In other words, a full 63.4% of children were admitted to hospital for treatment for other non-COVID health issues and caught COVID while they were on the inside of the hospital. Hospital transmission, not community transmission. Just like the infant in Dr. Henry's propaganda masterpiece. Yet another quiet release of real information, against a backdrop of the media and health officials making lots of noise about "cases, cases, cases" and rogue pastors to keep the public distracted and in the dark. The magician's tool of misdirection at its finest.
Figure 30: Source: Toronto Sun, FUREY: Fewer Canadian kids hospitalized with COVID than previously thought, report shows, May 21st, 2021 |
The next chart shows the running totals of weekly deaths (all causes) going back over the last 11 years, ending February 6th, 2021. The clear peaks and troughs in figure 31 represent seasonal variations in death rates caused by the winter flu season. Strong peaks correspond with especially strong winter flu seasons. The strong 2017/18 season is clearly visible.
Figure 31: Weekly deaths in Canada over the last 11 years. Adapted from @Milhouse_Van_Ho (link to original), with data sourced form Statistics Canada. |
The first two COVID waves of the 2019/20 and the 2020/21 winter seasons are recognizable on the chart in figure 31, but do not stand out from the pack. A glance to the left shows there are between 5000 and 6000 deaths per week in Canada, every single week of the year, of all causes. In 2019, that added up to a total of 284,082. That's the background of normal mortality in Canada from all causes of death. The gradual rise in death rates over the last decade, which is visible in the chart, is caused by a combination of a growing population and an aging population as the large numbers of baby boomers begin to reach the top of the age pyramid and birthrates fall (I have included a diagram of the changing age pyramid from 1980 to 2020 in the notes at the bottom of this investigative report for those not familiar with how Canada is "aging out"***).
In figure 31, COVID stands out as a bad flu year, not as a generational pandemic. It looks virtually indistinguishable from previous bad flu years. Measuring from the centerline (dotted line) to the peaks, even the deadly 1st wave of COVID is approximately the same as the scale of the 2012/13, the 2014/15, and the 2017/18 winter flu peaks. And the second wave, when we spent winter in near endless lockdowns, including curfews in Quebec, endless business closures, and the arrest of multiple pastors across Canada who refused to limit church attendance, that second wave barely counts as a moderate winter season. Overwhelmed hospitals were a complete lie (documented in my previous article here), not because some didn't reach near 100% capacity, but because they do so every year. The last 15 months have been significantly less than usual; for the first time in years no-one was practicing any hallway medicine in Canada. But cancer patients had their treatments cancelled and surgeries delayed. They may pay the ultimate price for the panic.
One of the "mysteries" of the COVID pandemic has been the disappearance of the winter flu. COVID is now playing the role that influenza used to play - flu deaths have been displaced by COVID deaths. The chart in figure 31 makes that rather obvious. And the insight we gained from the outbreak data, demonstrating that 75% of all deaths are in institutional environments, makes it quite clear that the most vulnerable to COVID are the very same vulnerable people, hanging out in the very same settings, which would have been at risk of severe outcomes from influenza. Anyone can catch it, but the Grim Reaper stalks the vulnerable. A coronavirus playing the role that influenza used to play.
Health authorities, including Dr. Tam herself, have given the impression that the flu has disappeared because of the effectiveness of masks, social distancing, and lockdowns. That's rubbish. If masks and social distancing and lockdowns can keep other respiratory viruses at bay, why not COVID? COVID and influenza are almost identical in size and are spread via virtually identical mechanisms. Health authorities are taking credit for a natural phenomenon called viral interference and displacement, where a dominant virus suppresses the activity of other viruses. This phenomenon was well-known long before COVID, but they are misusing the fact that the public doesn't know about this phenomenon to validate their health measures. You can learn more about viral interference and displacement in this article.
Another natural phenomenon being used to lie about the supposed effectiveness of lockdowns is that of seasonality. The previous chart in figure 31 showed the natural rises and falls in deaths every winter. The magnitude may change, but the waves are as predictable as winter snow in Canada. Figure 32, from Ontario Public Health, shows the seasonality of the other coronaviruses (at least 4), which circulate in the community and in long-term care facilities every winter as part of cold and flu season. Just because most members of the public hadn't heard about coronaviruses before doesn't change that they have been around for a long time and a lot is known about them.
Figure 32: Normal seasonality of all coronaviruses in Canada. COVID-19 is merely the most recent addition. COVID arrived in Canada midway through the 2019/20 winter season (black line), and then tracked the other coronaviruses almost perfectly. And in the 2020/21 season (dark blue), it again appears to be tracking the other coronavirus waves from previous years. There are at least 4 other coronaviruses that have long been part of the regular annual smorgasbord of over 200 respiratory viruses that cause colds and flus every year (source). Chart annotations are mine. |
Bear in mind that the chart in figure 32 was published by our own health officials - they're even the ones who added the COVID numbers! Yet after every wave of COVID, health officials all around the world persist in taking credit for the natural seasonal downturn in virus activity - a natural and predictable phenomenon. It's like taking credit for the sun rising in the East.
Figure 33: Dr. Tam giving public health measures (and compliance) credit for the natural seasonal variability of coronaviruses (source). |
Figure 34: Partial thread by Abir Ballan on Twitter discussing the breaking story in the Telegraph of scientists admitting to using fear to control people's behaviour. I encourage you to read her full thread. |
What these health officials and scientific advisory boards have done is not just shameless exploitation. It is scientific fraud, with real, serious, and deadly consequences for all those whose lives are being destroyed by lockdowns. This fear-driven public messaging reinforces the idea that if you want to save grandma, you must control the behaviour of people living out in the community, outside of institutional walls. It reinforces the myth that lockdowns work. That lockdowns save lives. That masks and social distancing and well-behaved pastors and hairdressers are the key to keeping everyone safe.
This idea is not just false. This strategy is actually killing people. And I don't just mean deaths caused by collateral damage from lockdowns. I also mean COVID deaths themselves, because lockdowns drag out the length of the pandemic, leading to thousands of unnecessary and entirely preventable deaths from COVID among the most vulnerable. Added together across the world, this could easily stretch into millions of preventable COVID deaths by the time this madness ends. This may sound like an extreme claim; let me walk you through it. We have reached the part of the story where their gross criminal negligence is laid bare in its rawest form.
VI - Exposing the Fantasy: How Lockdowns, Masks, and Fear Made the Dying Much Worse
The first of these unintended deadly consequences is that masks provide a false sense of security for those who are vulnerable. While most of us should have carried on living our lives, as blissfully unaware as possible, those who are vulnerable should be educated to keep a heavy door between themselves and the rest of society while the viral wave passes. But a mask gives a false sense of security, encouraging them to mingle when mingling poses a mortal risk. Real world outbreaks, like the outbreak at Tönnies meat packing plant in Germany, show that a symptomatic worker infected fellow co-workers as far as 26 feet away, despite everyone in the facility wearing a mask, including the symptomatic spreader. So much for social distancing. So much for masks.
Asymptomatic people will have little or no virus particles inside the aerosols they exhale. But the aerosols exhaled by symptomatic people will be saturated with virus particles. The big drops that are expelled by coughs and sneezes quickly end up on the floor. But the tiny particles exhaled during normal congested breathing will be floating around the room and get sucked through heating ducts, just as they did on the Diamond Princess cruise ship.
And the collateral damage caused by the lockdowns in the community are spiralling. The Children's Hospital of Eastern Ontario is overwhelmed by so many children with mental health crises (caused by lockdowns) that it is on the verge of transferring patients to adult hospitals. Overdose deaths are soaring. Hundreds of thousands of medical treatments, surgeries, and diagnostic tests for serious high-risk high-mortality diseases, like cancer, were delayed or cancelled all around the country, priming us for an upcoming wave of additional unnecessary deaths because these patients didn't get the care they needed in the early stages of their diseases. And millions around the world have been pushed into poverty and starvation. All these lives matter too. Pinning our hopes on vaccines as an exit strategy has been exceedingly costly, a price paid in many many lives.
Figure 46: Vaccination of children aged 12 to 17 does not require parental consent for vaccination with an emergency-authorized vaccine (source) |
And so it goes all around the country:
Figure 47: City of Toronto (source) |
Figure 48: Parents will not be informed of a child's vaccination without the child's consent. Infants Act, Mature Minor Consent and Immunization, HealthLink BC. |
Are 12-year-olds mature enough to make those kinds of decisions without any parental input? Considering how one-sided the government's information campaign has been and how it has systematically avoided engaging in meaningful two-way public debate with critics, I even question whether most adults know the right questions to ask to be able to adequately inform themselves of their personal risks and benefits if they take this vaccine. If you were surprised by anything you read in this investigative report (I certainly ran across quite a few surprises while researching it), then you did not have all the information needed to give informed consent. Yet we're supposed to pretend that children have enough background knowledge to tease out all these nuanced details and know what questions to ask when figures of authority - teachers and health officials - are pushing them to make the "right" choice?
A child reaching a conclusion desired by an adult in a position of authority is not evidence that this child followed the same independent thought processes that an adult would in order to reach those conclusions, especially when the potential for coercive pressure exists. Children are not fully mature little adults with mature brains and a long history of life experiences to draw upon. They are easily influenced, impulsive, impatient, and often blind to the long-term ramifications of their actions. It's part of growing up.
Parental guardianship is meant give them an advocate to fill in the gaps, both to protect them and to help them acquire the perspective and maturity they will need in order to navigate the adult world. Society recognizes this fundamental concept of growing into maturity through our alcohol and drug consumption laws, sexual consent laws, voting age, military service age, and even in criminal law when prosecuting under-age offenders. Yet we are being asked to participate in a collective mass delusion by pretending that vaccination, with potentially life-changing or life-ending consequences (as shown by the VAERS data) is somehow different when it comes to children being able to understand the far-reaching ramifications of their decisions.
Figure 49: Parents will not be informed of a child's vaccination without the child's consent. Infants Act, Mature Minor Consent and Immunization, HealthLink BC. |
And we're supposed to also buy into the collective fantasy that government will not use coercion to pursue an agenda, and that the power imbalance between children and teachers/health officials will not influence their decisions. It does not require an intention to coerce on the part of the adults - the goal may be perfectly well-meaning. But the power imbalance should, at a minimum, require the child to have another adult advocate on their side to counterbalance that one-sided relationship. The parent would seem like the most ideally suited, least likely to have their own agenda, and most likely to know the individual circumstances of the child's medical risks and have their best interests at heart.
Does this information campaign distributed to children in Saskatchewan look like coercion to you?
Figure 50: Vaccination details for youths 12+ being distributed by the Government of Saskatchewan. Is this coercion? |
It's rather ironic really; the recent MeToo movement went as far as compelling society to question whether consent can be given freely in sexual encounters between adults when one of those adults is in a position of authority over the other. Yet we're supposed to pretend that there is no risk of coercion or abuse of authority (intentional or otherwise) when teachers and health officials are encouraging children as young as 12 to get vaccinated, particularly in a school environment where these figures of authority are able to have these conversations with children away from the oversight of their parents and where peer pressure from their friends is highly likely to influence their decisions.
Parental guardianship is a foundational legal concept in a free society to protect children from themselves and to protect children from other people with an agenda. The parent is the most likely member of society that will act in a child's best interests. Not all parents are perfect, but the alternative of allowing the government to erase this concept of parental guardianship and assume that role for children is far more dangerous. If ever there was a slippery slope, this is it. It doesn't take rocket science to understand all the other areas in which parental consent might interfere with a government's agenda or where a government bureaucrat might invest less time than parents would invest into studying what's right for each individual child.
Parental guardianship recognizes that children and teenagers are not yet legally responsible for themselves but remain under the umbrella of their legal guardian. But whose child is it? What is being done under the guise of public health is essentially reassigning guardianship from the parent to the government. This sets an extremely dangerous legal precedent, and it has being pushed on society without public consultation, without public debate, and without parliamentary transparency. The repercussions of this re-imaging of boundaries within society will be with us long after the virus fades out of sight.
Section 1 of the Nuremberg Code**** explicitly states that: "The voluntary consent of the human subject is absolutely essential. This means that the person involved should have legal capacity to give consent; should be so situated as to be able to exercise free power of choice, without the intervention of any element of force, fraud, deceit, duress, overreaching, or other ulterior form of constraint or coercion; and should have sufficient knowledge and comprehension of the elements of the subject matter involved as to enable him to make an understanding and enlightened decision."
Teachers and health care workers administering these vaccinations should pay attention. The Nuremberg Code also explicitly states: "The duty and responsibility for ascertaining the quality of the consent rests upon each individual who initiates, directs, or engages in the experiment. It is a personal duty and responsibility which may not be delegated to another with impunity." As long as these vaccines remain under emergency use authorization, and as long as we wait for long-term safety trials to be completed, these vaccines are, by definition, an experimental vaccine. The people administering these vaccines and those engaging in coercion, intentionally or not, can each be held personally accountable for human rights violations for their roles in this experiment. The take-home lesson from the Nuremberg Trials in the aftermath of World War II was that accountability for human rights violations do not stop with those giving the orders; accountability also extends to those carrying them out.
The moment the government committed to the vaccine another deadly snowball was set in motion. An emergency use authorization is not allowed if there are other treatment options available. Here is the US Food & Drug Administration explaining the issue:
Figure 51: The US FDA's rules for emergency use authorization. Canada's rules are a little different, but the underlying principle is the same. |
Figure 53: Ivermectin adoption by country (source). |
How many more of our most vulnerable, prevented from going out into the sun during their forced isolation in nursing homes during COVID, could have been saved if everyone had been encouraged to take vitamin D supplements throughout the last two winters. It would have cost pennies per dose and there are unlikely to be side effects from a Vitamin D top-up (certainly none as severe as the vaccine!). But with everything riding on the vaccines (and lockdowns), most especially the reputations of the politicians and health officials who began promoting them, there really isn't room for anything else. Politics and special interests appear to be taking priority over "doing everything we can to keep you safe."
~
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Further reading:
➤ "Why Can’t They Just Attend Church Over Zoom?" - Sacrificing Essential Liberty to Purchase a Little Temporary Safety - This never was a fight about church attendance, or masks, or open businesses. From the moment the government issued its first public health order, this was a cultural battle about whether we are still willing to defend the principles that are essential to a healthy liberal democracy, or whether we want to let the government close the door on the Enlightenment and open a different and altogether darker chapter to something else. - May 3rd, 2021
➤ Who's in Charge? The Rule Makers, Power Brokers, and Influencers of Lockdown Wonderland - Who has the authority to make this lockdown nightmare stop? The answers will surprise you. Nothing in this Lockdown Wonderland is quite as it seems. (also available on Youtube) - April 14th, 2021
➤ STOP THE LOCKDOWN: Interview w/ Retired Police Inspector Len Faul (Police On Guard For Thee) - Len Faul is a retired former Inspector with the Toronto Police. He agreed to sit down with me for an interview to talk about how he and a group of active and former police officers are working to end these unconstitutional public health measures and how we can work together to stop what our politicians and health authorities are doing to us. - March 2nd, 2021
➤ Bystander at the Switch: The Moral Case Against COVID Lockdowns - Do you remember the moral dilemma taught in grade school called the "Bystander at the Switch"? COVID lockdowns pose the identical dilemma, only this time it's not a game and it's played with real lives. When humanity invented universal human rights, they were meant to stop us from pulling the switch. - January 25th, 2021 (Video version - February 7th, 2021)
➤ Open letter to our health authorities regarding COVID measures - Request for a public debate about the public health response to COVID-19 (lockdowns, masks, PCR testing, vaccine rollout, etc.). - January 22nd, 2021
➤ Face Masks: A Placebo With Harmful Side Effects - a five part series exploring the science, psychology, and unintended consequences of COVID-19 face masks. - September 29th, 2020
➤ COVID-19 Lockdown: The Epidemiological Data Shows it is Unnecessary, Extremely Risky, and Harmful to Those Most in Need of Protection - April 20, 2020
Notes:
Calculations for Figure 9, 13, 14, 15, 16, and 17:
Calculations for Figure 9, 13, 14, 15, 16, and 17. Using data from Figure 8.* The world bank estimates that there are 2.52 hospital beds in Canada per 1000, Statistics Canada puts Canada's population at 38 million.
** Hospital utilization rates in Ontario during COVID (leaked chart from official sources. The authenticity is unconfirmed, but is supported by publicly available statements about hospital capacity both before and after the pandemic, as I documented in this article.
Figure 56: Ontario hospital occupancy rates never rose above 90% throughout the pandemic (source: @Milhouse_Van_Ho on Twitter). |
Ontario's bed capacity is also mirrored by official data from the UK's NHS England, which lends additional weight to its credibility.
Figure 57: NHS daily bed occupancy, general and acute, England, 2017-present (Source: The Uk's response to Covid-19, in facts and figures - http://www.coviddashboard.live) |
Figure 58: Canada's Age Pyramid, by decade, 1980 to 2020. (Source: Statistics Canada - Historical Age Pyramid) |
**** The Nuremberg Code (source): (learn more about the Nuremberg Code, its history, and its impact on international law on Wikipedia.)
1. The voluntary consent of the human subject is absolutely essential. This means that the person involved should have legal capacity to give consent; should be so situated as to be able to exercise free power of choice, without the intervention of any element of force, fraud, deceit, duress, overreaching, or other ulterior form of constraint or coercion; and should have sufficient knowledge and comprehension of the elements of the subject matter involved as to enable him to make an understanding and enlightened decision. This latter element requires that before the acceptance of an affirmative decision by the experimental subject there should be made known to him the nature, duration, and purpose of the experiment; the method and means by which it is to be conducted; all inconveniences and hazards reasonably to be expected; and the effects upon his health or person which may possibly come from his participation in the experiment. The duty and responsibility for ascertaining the quality of the consent rests upon each individual who initiates, directs, or engages in the experiment. It is a personal duty and responsibility which may not be delegated to another with impunity.
2. The experiment should be such as to yield fruitful results for the good of society, unprocurable by other methods or means of study, and not random and unnecessary in nature.
3. The experiment should be so designed and based on the results of animal experimentation and a knowledge of the natural history of the disease or other problem under study that the anticipated results justify the performance of the experiment.
4. The experiment should be so conducted as to avoid all unnecessary physical and mental suffering and injury.
5. No experiment should be conducted where there is an a priori reason to believe that death or disabling injury will occur; except, perhaps, in those experiments where the experimental physicians also serve as subjects.
6. The degree of risk to be taken should never exceed that determined by the humanitarian importance of the problem to be solved by the experiment.
7. Proper preparations should be made and adequate facilities provided to protect the experimental subject against even remote possibilities of injury, disability or death.
8. The experiment should be conducted only by scientifically qualified persons. The highest degree of skill and care should be required through all stages of the experiment of those who conduct or engage in the experiment.
9. During the course of the experiment the human subject should be at liberty to bring the experiment to an end if he has reached the physical or mental state where continuation of the experiment seems to him to be impossible.
10. During the course of the experiment the scientist in charge must be prepared to terminate the experiment at any stage, if he has probable cause to believe, in the exercise of the good faith, superior skill and careful judgment required of him, that a continuation of the experiment is likely to result in injury, disability, or death to the experimental subject.
Hi julius, really good and well researched article. I have one correction though.
ReplyDeleteI'm a registered occupa hygienist so I know quite a bit about respiratory protection. Your description on the mechanism of hepa filtration is incorrect. Hepa filters can and do filter particles less than 0.3 microns throu electrostatic attraction, which is why these filters must remain dry. A wet filter is useless. The 0.3 micron sized particle is the most challenging size for a hepa filter to capture, hepa filters are 99.97% effective at capturing these 0.3micron sized particles. When testing the efficacy of the hepa filter, the 0.3 micron sized particle is used.
The 95 in N95 means that those respiratory are 95% effici at capturing particles 0.3 microns in size.
Hepa filters are very effective at cap particles less than 0.3 microns and are used extensively in contaminated occupational settings such as asbestos, crystalline silica and welding fumes, all of which generate particles far less less than 0.3 microns, especially welding fumes.
Hope that helps.
No need for correction, this is a BRILLANT article, well researched that would and should be used in courts to ARREST ALL OUR POLITICIANS FOR THERE decieved information. and PROMOTING OF IRRATIONAL THOUGHTS AND FEAR..and here we were THREATENED NOT TO VIST OUR FAMILY AT CHRISTMAS, THANKSGIVING, we are banned from worship! WE WERE MADE TO FEAR TO HUG, TO LIVE TO see our loved ones..OVER WHAT NOTHING!! there HAS TO BE ARRESTS.. FOR THIS TYPE OF DECIEVERS! Our kids, suffered! no gyms, no schools, no milestones to celebrate, ALL OUR LIVE REMOVED IN ONE Year.. Wedding, and nonesencial RULES, that make us look like idiots..STANDING SIX FEET APART! what absurd logic!! My friend lost a daughter..she ran away somewhere in Toronto, BECAUSE SHE WAS FORCED TO WORK FROM HOME.. she got up in the mornings, WENT TO HER DESK, DAY IN AND DAY OUT.. Prisoner..for what?? she had an active social life, my friend is depressed beyond herself in looking for her daughter.. SHEER LIES..I remember being around neighbours back when we were young and my mother would force us to stay inside when we had sniffles.. THE NEIGHBOUR, who was from Greece told my mohter that they are not to keep children inside when they have a cold, that they should go out! AND HERE WERE ARE INSIDE.. our homes.. The REAL PANDEMIC IS WHEN THEY LET US OUT.. remember, that when Europeans came to Canada...and the natives exposed to Europeans, that their immunity caused many diseases..well we have BEEN OVER SANITIZED.. MUZZLED, in stores, LOCKDOWN.. A PRISON SENTENCE ISN'T EVEN GOOD ENOUGH FOR THESE PLAYERS!
Delete@Ted Hi Ted, Thanks for getting in touch. I have added an additional section about HEPA filters that explains why I make this claim. Even hospitals construction guidelines acknowledge that HEPA filters are not a reliable way of stopping respiratory viruses.
DeleteI am aware of the research on diffusion, the collection efficiency curve, and Brownian motion as the mechanism to stop nanoparticles. Yet the hospital info clearly states that the virus is not stopped by HEPA filtration, and the many randomized controlled trials (RCTs) on masks also show no statistically significant reduction in transmission rates.
Both cannot be true at once. Real world virus-stopping results supplied by RCTs and hospital experience trumps the HEPA research, so it would be interesting to get to the bottom of this mystery because they are telling diametrically opposite stories. Is there a difference between lab vs real world installation? Are the lab results a consequence of confirmation bias? Is it that in a controlled lab experiment the electrostatic forces are sufficient, but in real world use the weak electrostatic forces are easily broken as particles stack up over time and turbulence in the airflow dislodges particles back into the airflow? Are the air flows in labs lower, or is the time in lab trials shorter? There are a million variables, but real world vs lab claims are not compatible. I would love to know why. Since a virus causes a detectable infection if it gets through, that's irrefutable confirmation of the filtration not producing meaningful results.
Perhaps you could get in touch via my Contact Form to discuss in person - it would be great to get to the bottom of this. I would value your insight and experience to try to unravel the source of these contradictions.
Cheers, Julius
Serious piece of work there Julius. Thanks a million.
DeleteFrom my research a virion is around 20 nanometers or .02 microns or more than a 100 times smaller than what n95 masks filter out. The average mask worn in the world is about a 100 times more porous than the n95.
The truth is viruses are all around us by the trillions. We breath in and out tens of thousands with every breath even with a mask so to think we are stopping a specific one or group of viruses is insane.
https://www.youtube.com/watch?v=TEb33U0hHxM&t=1s&ab_channel=ZachBushMD
Also the video of the mask leak guy should be removed as he is not even trying to wear the mask correctly and this makes it too easy to dismiss even when the basic info is true.
No masks are designed for filtering exhale. Even the best fitted masks will lift off the face when exhaling, especially when it gets moist and loaded with particulate. Speaking of moist and loaded with particulate this is exactly what happens on the inside of all masks which makes an optimal breeding ground for bacteria. There have been hundreds of studies done showing how continued mask use seriously increases upper respiratory infection and even pneumonia. 10 Years ago when I was researching my air filtration breathing device I found several studies, images from very old journals, proving that a large % of deaths during Spanish flu were from pneumonia contracted from dirty cloth masks. Now I can not access them.
Any way I do hope something comes from all your work. I would love for the truth to prevail.
Cheers!
jef
What emerges is a shocking story of scientific misconduct and breach of trust, which reveals the horrifying - and deadly - consequences of stripping data of context and allowing government to evade transparency. IN A NUTSHELL, this is it ! breach of trust and the stripping of our Freedoms..the nonesencial babble and the introduction of Communism through a red herring! EXCELLENT article..
ReplyDeleteThank you Martine! I really hope society wakes up soon to the danger of turning our backs on individual rights and allowing science to degrade into a parody.
DeleteMuch too late Julius. Modern academic science has been degrading for decades, perhaps longer. It is by now indistinguishable (to me) from pseudoscience and quackery. I'm trying to network with competent scientists outside mainstream science, and I like your work.
DeleteWhat an excellent article. Thank you. I have shared widely and I will make a donation. Keep up the great work.
ReplyDeleteThank you! I really appreciate your support!
DeleteAmazing collection of data and brilliantly laid out, this mirrors my minor efforts to alert people to what has been happening here in Manitoba.
ReplyDeleteThank you Blair! I have been watching in horror what is going on in Manitoba. It is insane that every government has fallen into the same trap.
DeleteI echo all the comments here. Extremely thorough and thoughtful analysis. I wish you were not correct in what you have written, however, I fear that you are and hope you are correct about the Nuremburg Code accountability will be proven. I will also share, have donated, and hope you continue on with your work!
ReplyDeleteThank you Mallory - I really appreciate all your support and your donation!
DeleteI also hope very much that the Nuremberg accountability will happen, not only to hold them accountable for what they have done, but equally important because the public process of holding them accountable is necessary for society to be able to recognize the danger of abandoning the core principles of science and democracy. With the media not doing its job, I think most people are in for a horrible shock when the curtain gets pulled back.
The Economist published a piece two weeks ago (https://www.economist.com/briefing/2021/05/15/there-have-been-7m-13m-excess-deaths-worldwide-during-the-pandemic) showing between 7 and 13 million excess deaths worldwide, but only around 3 million accounted for by COVID - leaving the rest due to lockdown collateral damage. These numbers are mindboggling - that's significantly more than the Khmer Rouge genocide and the Rwandan genocide combined! All caused by the criminal gross negligence of abandoning the pandemic planning guidelines, fueling fear, and ignoring individual rights.
Julius, amazing information and logical presentation. I just found your blog but I'll be returning to it often. And, an aside, my uncles were ranchers in S. Alberta (Dewinton and Millerville), were the founders of the Limousin Breeders Association of Canada in the 70's, and imported the first bull (Elephant) to Canada from Avignon France. They were heavily involved with the development of the embryo transplant technology in the 70's. Unfortunately, they got into hotel development in the oil patch in the late 70's which crashed and burned in the early 80's when PET implemented the NEP. The ranches went to Texas and Oregon.
ReplyDeleteAnyway, keep up the good old fashioned commonsense thinking and writing.
RS
Thank you RS! Welcome to my website - I'm glad you're enjoying it! I love that part of AB - it's a gorgeous area! I've been through there a few times, rather ironically on bullbuying trips to AB for my parent's farm many years ago! I hope we can restore some kind of sanity to our country again soon or the exodus to the US will likely start all over again.
DeleteCheers, Julius
Julius...brilliant expose...I'm a numbers guy who appreciates people who can see through the bunk and articulate the reality behind the curtain
ReplyDeleteMuch appreciated!!!
DeleteI have just written my homage to you, Julius, and this article. Bravo! https://www.gatheryourwits.com/post/the-big-picture
ReplyDeleteThank you Michelle! I just checked it out on your blog - I'm really honored!
DeleteJulius, this is an amazing piece of writing! Thank you for the huge investment of time this took to bring forth such comprehensive information. I am praying for people to wake up to what is happening and for the house of cards to crumble! Well done! I will be donating.
ReplyDeleteI am really grateful for your support and feedback! Thank you!
DeleteSuch a great article! Thank you for all the work you have done to put this all together - I just wish that those in charge would also read it and take the information to heart...
ReplyDeleteThank you Cheryl! I really hope that too!
Deleteabsolutely brilliant... The truth is out.. We have been locked up for long enough! Let freedom reign!
ReplyDeleteGreat stuff... but I seriously object to referring to a dead child as 'it'. Needs to be changed.
ReplyDeleteWell done Sir! I can only thank you for the time you spent putting this together. I will forward this to my other Board Members here at Stand Up Canada to help get this work the attention it deserves.
ReplyDeleteThank you Steven - I really appreciate you sharing it to help get the word out!
DeleteHi. I just read the article and i am still "digesting" all is said. Love thhe supportin data, it is very cientific, to say the least. I do want to get through further understanding of the "malevolous intensions" of those who had to made decisions at a social scale. I would aknowledge the reasoning within the data analisys, ok. My question would start with a big WHY?
ReplyDeleteI am among those who always question on the basis that every big decision needs to answer the following question: who benefits? Aren't these decision makers as human as we all? My son and I debate on the issue and so far, we ca not agree on a rational aswer. If the "leaders" were all inside a space ship looking down to what would be left of us to then come back and retake the left overs, that could probably be an explanation, but yet, to what end? If fhe King has no people, who is he going to exploit? I would be happy fo discuss with an eye not only on the "evel" behind the "curtain", but mostly with the i tention to understanding why anyone would be so "bad" just for the sake of it.
The nazis were driven by economic greed, ultimately. Their cause and purpose was clear: to take economic control over millions so they could live the "nazi deam": enslave the other so they could focus on "the elevated spirits of human perfection", whatever that means. It has hapened throut human history all the time! Back to the point, what's to gain for the decison makers, ex ept for total failure, catastrophy and human misery. I just don't get it.
A better way to look at this is what is to lose. We are for more loss averse than we are about actually gains/profit etc. Main incentives for politicians is not to bee seen as failure which would have significant impact on their re-election chances. The need to be seen to be doing "something" is difficult to counter and this fear of the appearance of failure to act was leveraged by various parties who saw this as an opportunity to meet their own objectives.
DeleteMost is known to "us" informed, but your statistical contribution to "A Tale of Two Populations", the arguments about the vaccine including the "Bypassing parental guardianship", and the articulation in the "Summary & Closing Statements" are brilliant!
ReplyDeleteI will share this with everyone I know and some Telegram channels!
My "question" is: How can people be so ignorant and not willing to "waste" 3-5 days to research this subject of a LIFE importance... It is a rhetorical question, but I still can't understand!
Thank you!
PS. I suggest to have "comment as..." by "email address" instead of "Google account"
contact: nikiearth@protonmail.com
Brilliant period.
ReplyDeleteNew Zealand joins the land of the living and drags its leftish show pony PM INTO THE DOCK...
ReplyDeleteArdern`s current and previous administration has been actively lying to the New Zealand public through the sin of omission since March 2019 under stated rational` of `countering misinformation`. Its hardly a coincidence the Biden signed up to the Christchurch call to encourage such deceipt when yet more innocent victims of the left need burial...
What a terrifically informative and well researched piece of investigative journalism! Thank you! Wanna hear the latest from my mom’s non-profit nursing home (Toronto)? Every weekly robocall update is a ten minute propaganda lecture for getting the jabs. Telling us that the jabs are proven to be completely effective including against all variants. Telling us that you need it even if you’ve tested positive previously. Telling us only jabbed 2 doses visitors can sit close and hug and touch their loved ones, unjabbed or partially jabbed are forbidden and must stay 2 meters away during indoor visits (yet both types of visitors must wear full PPE indoors). Outdoor visits are now permitted but you must be masked and distanced regardless of whether you have had the jabs.
ReplyDeleteSo what I glean from these rules is: 1. The jabs don’t work outside. 2. Jabs don’t work inside if you’re not wearing full PPE. 3. PPE does not work inside if you’re not jabbed, which is why you aren’t allowed to get close to your loved one. 4. PPE is not needed outside even if you’re not jabbed. Makes perfect logical scientific sense, eh?
Unreal. I am still in shock that the families of long-term care patients aren't protesting in droves infront of the care facilities about these insane, inhumane, and illogical rules.
DeleteThank you so much, Julius for a superb paper. I have made a small donation.
ReplyDeleteI particularly liked how you were conservative with your estimates. For example, I probably would have taken the number of 60-64 year-olds with multiple chronic conditions to be more like 60% (see fig. 20),as the 50% figure given was the average for 45-64 year-olds and the older part of that group could be expected to be more troubled. Of course, the calculation does not affect your argument. Whether 6.8 million or 6.9 or 7 million, the fact is that the overwhelming majority of over-60s not been troubled by the virus, rather by the obscene measures taken to 'deal' with it.
(That comment was pretty inconsequential; I made it mainly to show that I had read the article. Grin.)
Thank you Dave - I really appreciate your support! You are quite right that I am underestimating the percentage of the 60-64 group living with multiple chronic conditions. No matter how generous I am in giving the government the benefit of the doubt in my numbers, the numbers just refuse to turn in the government's favor! (;
DeleteGood afternoon sir. I enjoyed your article, but with me, you are preaching to the choir. I am finding it harder and harder to believe anything being spewed by the MSM and our leaders about this "Pandemic".
ReplyDeleteOne thing is bothering me however: In this article you used 160,000 "Long Term Care" residents as part of the 292,000 number for institutionalized people in Canada. However, in most of the charts and graphs that follow, the heading always includes "Long Term Care & Retirement Homes" which would include probably who knows how many additional beds, but it would be hundreds of thousands, if not millions. Also, most of these are not "Institutionalized Buildings". I just can't figure out how this skews the 98.6% of the deaths in 292,000 beds and in which direction?
Thanks, Mr. Bits
@Mr.Bits I appeciate your positive feedback on my article!
DeleteI refer to "institutionalized buildings" as facilities in which government controls the regimented life going on inside them. You are quite right that many long-term care homes are privately owned, but the rules they follow and licensing requirements mean that absolutely everything about how life unfolds inside them is guided by protocols designed by the government. If you or I owned a private nursing home, we would not have discretion about masking, PCR testing of staff, whether staff can work at multipe homes, and so on. We could be stricter, but government controls the minimum standards.
As to the 292,000 number: the government has stated that 69% of ALL deaths (16,837) have been in long-term care only (not including retirement homes), which is 4,296 MORE than the 12,541 outbreak deaths in long-term care & retirement homes. From that we can be certain that the dying is overwhelmingly happening in long-term care and not in retirement homes, so the retirement home category is largely irrelevant to the death toll and can safely be excluded from the "institutionalized" population where most of the dying is happening. Thus I am on safe ground with my guestimate that the overwhelming majority of the dying (>75% of all deaths, close to 98.6% of outbreak-linked deaths) is happening in the tiny population of only 292,000 "institutionalized" people.
Thanks for the explanation. This whole pandemic scam is starting to get out of control - in both directions. See who wins.
DeleteJulius, thank you for this masterclass in research and writing. I especially appreciate the context and the Canada-specific data. Donated.
ReplyDeleteThank you for all your support - I really appreciate it!
DeleteA person who has brain - before going for vaccination - would be check if he/she already has the natural immunity.....Try to get a test for antibody in BC - not possible)))
ReplyDelete100%! It's quite shocking that this isn't being done. Why would anyone unnecessarily expose themselves to a risk if they have nothing to gain in return?
DeleteThanks so much for all your time and effort in publishing this invaluable report. A side-note, just fwiw, regarding an element integral to your report: the Canadian government in recent weeks has removed from public view/access its 8 - 10 month archive of Weekly Epidemiological reports AND starting in May 2021, (with the very first report following the April 30 report which you cite), the government is no longer including the section which reveals data+ on outbreaks by setting.
ReplyDeleteMuch appreciated - I'm so glad you enjoyed it! I appreciate the heads up about the reports - I've gone through and saved all the key links to the Internet Archive/Wayback Machine and replaced the links in the report with the Internet Archived links so that the originals can still be found.
DeleteJust Amazing sir. Heroic effort
ReplyDeleteJust finished reading this,,took me over an hour !!. This is an incredible piece of work.
ReplyDeleteI can't find words to explain how I feel right now..I don't personally know anyone who died or got seriously ill from Covid-19 which one might think strange after 17 months of this in a country where everybody knows everyone ,, yet everyone I know is clamoring to get a vaccine !!
a like-minded soul left the link for this article in the comment section of an online page of an Irish newspaper, (Irish Times) A government friendly propaganda rag...
You talkin' about me?
DeleteI suppose you are!
An excellent, clearly well researched and very well written article. I believe much of it is also applicable to Ireland which until recently has had the fourth most stringest lockdown in the world, lagging only those stellar awe-inspiring exemplars of freedom and liberty, Lebanon, Honduras and Venezuela.
ReplyDeleteI have linked to it several times in my ongoing "debates" with the Covid lockdown chickenhawks in the comments scetion of the Irish Times.
Amazing (not!) how all the lockdown chickenhawks seem to be in secure employment or retired.
Much appreciated! There really seems to be a race to the bottom on this madness. It is quite disturbing how many people are unwilling to have any kind of discussion about this.
DeleteThanks Julius, for your remarkable work. Speaking of Nuremberg, is Reiner Fuellmich apprised of your work?
ReplyDeleteBrian H.
Thanks for your kind feedback, Hambonius. I'm not sure if Reiner Fuellmich has seen my report yet - I hope so!
DeleteThank you for answering the questions that have been running through my head for months. Outstanding work. No need for conspiracy theories, the truth is found in the government's own data. Brilliant. I have been trying to do the same with the vaccine adverse events data published at canada.ca (please have a look at @vaccine_data on instagram). Currently 119 deaths reported following immunizations, terrible. But I cannot find any data regarding the age distribution or health status pre-vaccine of any of those who have died. That is very important information. As you've pointed out, the majority of deaths caused by Covid-19 are among the elderly in long term care. As of June 18, 2021 the adverse events reported following vaccination is much more evenly distributed among age groups, with the highest rate of adverse events being in the 40 to 49 age group (source: Canada.ca). According to my math, using the government's own data along with a study by Olliaro et al. which calculated a Number Needed to Vaccinate of 217 in order to prevent 1 Covid death, it takes 11,721.08 vaccinations to prevent 1 Covid death in Canada. That translates into 2.9 Adverse Events for every Covid death prevented. O.63 serious adverse events for every Covid death prevented. If you consider only the deaths caused by Covid outside of an institutional setting (6,127), we would have 2.67 serious adverse events for every Covid death prevented. Now imagine half of those people could have been saved with anti-viral drugs, the number of serious adverse events per Covid death prevented is over 5, and the total vaccines necessary to prevent 1 Covid death is almost 100,000. I am not an expert, and I'm sure my math is not accounting for many factors, but if you read the recent article in the "Vaccines" journal (The Safety of COVID-19 Vaccinations—We Should Rethink the Policy, by Walach et al.) then I think I am on the right track. I would truly appreciate anyone verifying my numbers, or reading the Walach study and figuring out where they went so wrong that a retraction was necessary. Another thing to consider is that Canada.ca is reporting adverse events PER DOSE. But since most of the vaccines are a 2-dose regimen, would that mean the rate of adverse events would be twice as much when you look at PER VACCINATED INDIVIDUAL? Thank you again for your work. I believe it will be those willing to tell the truth and shining a light on the incompetence of our government officials that will bring us out of this nightmare. You are part of the solution.
ReplyDeleteYou've really captured the essence of the pandemic from a Canadian perspective, backing it up with facts and figures that cannot be denied. I will do my best to spread this far and wide.
ReplyDeleteI fear the vaccines themselves will be the real horror show and we are just seeing the opening credits.
The burning question in my mind is was this deliberate?
Sent you my thoughts and asked some of yours however YT- cancelled my whole post. Scary stuff happening all over especially here in uSa.now
ReplyDeleteI visited Toronto last fall from the US with restrictions and with warnings of penalties attached to my quarantine up to a Million dollars and/or 3 years imprisonment, but I haven't visited my mother and extended family in Toronto since; and my wife and three boys including a two year old son since he was newborn. They say they are opening the borders, instead it is segregation against the unvaccinated, with increased reporting and testing requirements along with the quarantine. Truth be told, aside from the communist police state controls, our family are devout daily communicants in our Catholic faith, and unfortunately much of the Church has capitulated and we would not be able to practice our faith freely if we visited. At first I was going along with the various mandates (most visibly masks) but now I abhor complicity with corrupt dominant narratives. I would rather wear a tin foil 'conspiracy' cap for protection from viral information deceit. Thank you for your research and efforts at bringing forth the truth. I would like to add that, thorough as you have been, this information just touches the tip of the iceberg: you don't mention how the restrictions are killing people by adding to the malpractice of avoiding early intervention, nor how many of 'accepted' protocols/treatments did more harm than good. I am sure you are also aware of the myocarditus issue for youth or fertility issues for women. An early red flag for me was the Lancet retraction of the fraudulent hydroxychloroquine study: https://dissidentvoice.org/2020/08/lancetgate-why-was-this-monumental-fraud-not-a-huge-scandal/
ReplyDeleteMore recently Tucker Carlson interviewed Robert Kennedy concerning his new book on Fauci:
https://www.informationliberation.com/?id=62709
I also have friends in Canada (some doctors) being disciplined for speaking out, consider:
https://brownstone.org/articles/do-not-give-up-your-rights-dr-julie-ponesses-remarkable-speech/
Other reliable sources for me are Del Bigtree and Lifesitenews.
God bless you for your work.
Has it ever occurred to anyone that the deaths on the institutional side of the divide are induced? I mean, how would we know? They lock us all out and we just have to take their word.
ReplyDeleteIf ever you want to know what I saw when my own mother went into the hospital, contact me on telegram. My telegram name is cryssiq.
Julius your the first person makung the arguements that make sense. I clicked here expecting more mad as hatter 'lab designed bioweapon' conspiracy junk.
ReplyDeleteNope. Your just hitting a home run of 'no it is a legit respiratory illness. Its a legitimate disease/pandemic. But it shouldnt have gotten this absurd cause we literally have plans for this on file that were IGNORED!!
I appreciate that and the effort you put in to make the point and nail the research. Cause its true. Weve been here before. Influenza in 1917-1920. Thats WHY the world over agreed to create what would eventually become the WHO and put all those decades of work into research and understanding how viruses behave and spread and all the rest of it. But ours, and most other nations governments made the choice to politicize and propagandize a public health situation instead of just following the bloody playbook left for them to use written by people far smarter than themselves. It is exactly gross criminal negligence of the most disgusting and enraging.
I have read through , found it factual especially that it provides data on what's being stated . Furthermore , thank you for us that there was pandemic plan put through by W.H.O but the governments health experts disregardedn.
ReplyDeleteGood stuff, could I see the source of the graphs from "Exhibit F: Captive populations vs the rest of the community." I want to share this one with a friend.
ReplyDeleteYou wrote "The outbreak data showed that 98.6% of all outbreak-related deaths are among cases caught inside institutional walls. And this is where any last remnants of doubt holding together the lockdown fantasy really come unglued." Most people will look to this sentence directly (skipping all of the earlier article) and failing to see the semantics of your reference to 'outbreak data' specifically.
ReplyDeleteI checked your earlier statements, and at best you extrapolated that approximately 75% of the covid deaths are among cases caught inside institutional walls. Unfortunately, the 98.6% figure has been shared on twitter by prominent figures such as Jordan Peterson citing your 98.6% as if it represented all of covid deaths rather than just the subsection of outbreak-related deaths.
I believe this is a huge mistake and misunderstanding because even at 75%, the necessity show people how valuable it is to doubt the government's horrible lies was already satisfied but now the only part that will be highlighted in the media is that you and Jordan Peterson are misleading the public to believe it was 98.6%, when it is not, and nobody will ever know it was 75% (the media will infer that it is 0.00% or 'very rare').
Please reach out to JBP and fix this before you're both completely steamrolled as idiots.