Public Health Departments Have Misclassified COVID Cases to Make Shots Look More Effective
Data from Alberta’s health department show a spike in COVID infections immediately after vaccination. Most health departments are labeling these cases as “unvaccinated.”
In a just world, sweeping poor results under a rug of convoluted definitions to make your product look more effective would be considered fraud. But this is the COVID era, and public health authorities and pharmaceutical corporations have an extraordinary amount of “flexibility” in what they choose to tell the public about the shots currently being foisted upon millions of people. Now-deleted data from Alberta, Canada show a spike in COVID infection rates immediately after the first dose is administered, and due to convoluted definitions decided on during the vaccine trials, these cases are all being lumped into the “unvaccinated” category.
Below are histograms from Alberta’s official COVID statistics page, showing time from vaccine doses to infection.
*This screenshot was taken from Joel Smalley’s Substack January 13, though I have my own in mobile format
They were deleted without explanation after Alex Berenson called attention to them on Substack. I reached out to the Alberta spokesman on health issues for comment, but he did not respond by publishing time. A massive spike in COVID diagnoses can be seen within days after the first dose is administered, mostly tapering off by day 20.
Alberta’s histograms allow us to see what Alberta and other less-than-scrupulous governments have been hiding. Like most health departments here in the U.S. as well as the CDC, the definition of "vaccinated" in Alberta is “greater than 14 days past your second dose” because that is when the vaccines’ protection is understood to be “protective.”
This definition echoes those used in the vaccine trials. During phase 3 trials, Pfizer defined its vaccine as protective one week after the second dose (or 28 days after the first dose) and Moderna “at least 14 days after the second injection.” I have yet to find a public health department anywhere that does not use one of these two definitions, usually the latter. So, depending on the definition employed, there are 14-28 days during the vaccination process in which COVID events are not considered as “breakthrough” cases.
To their credit, Alberta has not removed this graph, which shows a rise in COVID hospital admissions among those within 14 days of the first dose beginning in early April 2021 and extending through May.
*Retrieved January 25, 2022
There is a clear public health benefit to separating out cases that occur “before protection” from the general vaccinated group, as in this graph, so the public can see any increase in apparent risk in that window. It is very rare, however, to find this kind of breakdown on public health dashboards or in any official data analysis because the global public health complex decided that any COVID infections, hospitalizations or deaths occurring up to two weeks after the first dose or less than two weeks after the second dose shouldn’t count toward overall COVID rates among the vaccinated. Instead, they are frequently considered as happening among the "unvaccinated" (ex. Vermont and Oregon). This gives the appearance of higher rates in those who haven’t gotten the jabs, whom we are told ad nauseum are “causing this pandemic,” and lower rates in those who are “fully vaccinated.” In other words, drug companies and the regulatory complex have used definitional chicanery to make a significant flaw in the vaccines look like even higher rates of efficacy, when in reality the vaccinated may have even higher rates of infection.
To illustrate, let’s say the Group Vax and Group Unvax are both the same size and they both get 100 cases of COVID (for the sake of argument). But in Group Vax, 5 of those cases happen within 14 days of a vaccine dose. Due to the narrowed definition of “vaccinated,” however, it appears as if Group Unvax has had 105 cases of COVID and Group Vax has had 95, when the same number of cases occurred in each group. This is how data is being aggregated in many health department COVID dashboards and weekly reports.*
No reasonable person who isn't trying to juice the stats for vaccine efficacy would decide upon these definitions. Whether or not they are lumped into the unvaccinated category, the decision not to document them as some category of “vaccinated” alone is disingenuous. Given what looks to be a severely heightened risk of SARS-CoV-2 infection after dose 1 (see the deleted Alberta histograms above; also see negative vaccine efficacy among healthcare workers within two weeks of dose 1 on page 5 of this study), and that people who’ve had two doses can’t literally be “unvaccinated” or even “partially vaccinated,” it’s hard to argue this isn’t intentional.
This deception has two real-world impacts. First, if you get the shots, you don't get to fast-forward through the risk window after dose 1. It is an inherent risk in getting the jab, and it must be shown as such in the data. If it isn’t, then people don’t have critical data they need to make decisions, like if they want to isolate at home for two weeks after dose 1. Second, unvaccinated people are taking the blame for infections happening "before protection," and we have all seen the immense social and economic cost that demonizing the unvaccinated as “threats to public health” has done, especially to children.
People have lost jobs, in-person schooling, face-to-face interaction, college admissions, time with family, and close relationships because the pharmaceutical complex and public health bureaucrats pushed data at them that are not just misleading, but fraudulent—and millions of people have believed them. They really believe that what they see on cable news or read on popular news sites is true, and that the unvaccinated are “dangers to society.” Since most Americans get their COVID information from corporate news sources and “quick-hit” reporting, they are rarely if ever exposed to this contrived definition of “fully vaccinated” as “two weeks post-vaccination.” Numbers are simply presented as “unvaccinated” versus “vaccinated.”
Not unimportantly, this trickery also skews the data on natural immunity versus vaccine-induced protection, since many individuals caught COVID “before protection” and therefore gained natural immunity, which could erroneously contribute to overall estimations of vaccine efficacy.
Because public health bureaucracies generally refuse to provide us with properly categorized data, we don’t have a very good idea of how much this intentional mis-categorization has affected the relative rates of COVID events in those who’ve gotten the shots and those who haven’t. The effect could be substantial; informal analysis suggests it may be as high as half of COVID deaths among the newly vaccinated in Alberta being shifted to the unvaccinated. We should make every attempt to pry the answers from health departments. Pharmaceutical executives and public health officials should be grilled before legislatures on why they chose to suppress COVID events in these windows and inflate COVID rates among the unvaccinated with post-shot COVID events. Public health leaders and vaccine company executives should be fired over this fraud and if possible prosecuted to the full extent of the law. We must try for justice but settle for nothing less than the truth.
*Greater than two weeks after the first dose but before the second dose is sometimes considered "partially vaccinated,” but this category is rarely listed in states’ official, public-facing data. Some “COVID trackers” do not even track vaccine breakthrough cases at all, such as New York or New Jersey.
The case data should include these classifications: people who received 1 shot, got covid within 2 weeks of that shot, and didn't get a 2nd shot; people who got 2 shots, and got covid before 2 weeks after their 2nd shot.