Posted on 04/29/2024 2:31:49 PM PDT by NoLibZone
In 2021, we were flooded with visuals showing us how effective the mRNA vaccines were against death from Covid. We saw, for example, that the Covid mortality graph of those who completed the two-dose protocol was substantially lower than that of the unvaccinated. To strengthen the point, we were shown a consistent pattern across age groups or after age adjustment.
Much of this was an illusion. Back then, they did not display comparable graphs for non-Covid deaths. If they did, we would have seen that the vaccinated also fared better on non-Covid mortality. Of course, no one expects these vaccines to prevent death from cancer, heart disease, stroke and so on.
The pseudo-effectiveness of Covid vaccines against death from unrelated causes is not a new observation. The same kind of pseudo-effectiveness was discovered long ago for the flu vaccines. It is called the ‘healthy vaccinee effect’. For various reasons unrelated to the vaccines, people who are vaccinated have better background health on average than people who are not, and therefore they are less likely to die from ‘anything’, including flu and Covid. Vaccinated or not, they would have had lower Covid mortality than their unvaccinated counterparts.
When we try to estimate the effect of Covid (or flu) vaccines, the healthy vaccinee effect becomes the healthy vaccinee bias, a source of distortion that must be removed. (Conversely, we may call it the ‘unhealthy unvaccinated’ bias.) Research on this topic has been sparse, however. Neither the pharmaceutical industry nor public health officials have had an interest in discovering that common vaccines were not as effective as they claimed them to be, or perhaps not effective at all.
A recent study from the Czech Republic has made significant contributions to the scientific literature on Covid vaccines and the healthy vaccinee effect. First, the authors observe the phenomenon in an additional country, lending support to its universal nature. Second, they provide clear evidence that those who chose (or were coerced) to be vaccinated were indeed healthier. Third, they show that the phenomenon is consistent along the sequence of doses, as was evident in U.K. data for booster doses: those who continued to the next dose were healthier than those who did not. Lastly, they demonstrate that the observed pattern in their data can be reproduced by simulated data when a vaccine has no effect and only the healthy vaccinee effect is operating. It is worth reading the paper in full, whether or not you are a science specialist.
What was done in the study?
The authors computed rates of all-cause death in periods of Covid waves and in periods of low (almost no) Covid deaths. The latter are essentially rates of non-Covid death, which means that any ‘effect’ of the Covid vaccines during these periods is a pseudo-effect: it is the healthy vaccinee phenomenon alone. In each period, they compared the mortality rate between the unvaccinated and various groups of vaccinated people.
I will discuss one key topic: the pseudo-effect of the two-dose protocol, starting four weeks after the second dose when people are considered fully protected. To focus on that group versus the unvaccinated, I added oblique arrows to Figure 2. Notice that these bars show rates, not counts, of deaths in a period with low Covid deaths (green panel). Again, although these are deaths from any cause, 99.7% were not related to Covid. Therefore, they may be considered rates of non-Covid death, and that’s what I will call them.
In each age group, the rate of non-Covid death in the effectively vaccinated (yellow) is much lower than the rate in the unvaccinated (black). Of course, that’s a pseudo-effect of the vaccines. That’s the healthy vaccinee effect, or bias when trying to estimate the true effectiveness against Covid death.
The authors kindly provided their data, which are summarised in my table for the low-Covid period.
As you can see from the computation, the ‘bias factor’ (last row) is simply the inverse of the pseudo-effect of vaccination. It tells us how much more likely the unvaccinated are to die ‘in general’, as compared with those who completed the two-dose protocol at least four weeks earlier. Formally, it should be called the bias correction factor, but we’ll keep it short.
My next table compares the results from the Czech Republic to data from the U.K. and the U.S. in similar age groups (my computation from the available data)
Notably, the bias factor in data from different countries and cultures varies in a narrow range: between 2 and 3.5. It is lower in the oldest age group but is still at least 2. Overall, the unvaccinated are two to three times more likely to die from various causes than the fully vaccinated.
Other data indicate that the gap narrowed over time (because unvaccinated survivors were ‘healthier’ as time went on and some of the less healthy died), but it lasted months, not a few weeks. When a third dose was introduced, the healthier moved to the three-dose group, leaving behind a sicker group of ‘only two doses’. As a result, the two-dose group now appeared to have higher mortality than the unvaccinated. This observation was mistakenly interpreted as evidence of vaccine-related deaths (which unquestionably happened).
To remove the healthy vaccinee bias, we multiply the biased rate ratio of Covid death by the bias factor, as explained elsewhere. For example, if the biased rate ratio of Covid death is 0.4 (60% ‘vaccine effectiveness’) and the bias factor is 2.5, the correct effect on Covid death is 0.4 × 2.5 = 1, which is 0% vaccine effectiveness.
I will conclude with another example of the healthy vaccinee bias and the true effectiveness after correction.
A study of U.S. veterans presented survival graphs of fully vaccinated and unvaccinated elderly people following a PCR test (figure below). I will consider a death following a positive PCR as ‘Covid death’ and a death following a negative PCR as ‘non-Covid death’. It is just an approximation, of course, but that’s all we can get from the paper to distinguish between the two types of death. Studies of Covid vaccines rarely report data on non-Covid death by vaccination status, so we often have to derive such data from whatever is provided.
The urgent rush to vaccinate everyone was to ensure there would be no control group.
Zero Efficacy Against Death?
You mean despite the Clot Shot and 5-6 boosters, I’m gonna die anyway?
Oh Noes.
Not surprising. It was a well planned scam from the start.
Also, the response to Covid-19 was the first time in recorded history that healthy people were quarantined to ostensibly stop the spread of contagion.
The vaccinated were dying of death from different causes than the unvaccinated. The vaccine itself became a more powerfully morbid way to die, from myocarditis, which used to be quite rare, or from severe degeneration of the circulatory system, the risk of developing a very rare blood-clotting condition known as thrombosis with thrombocytopenia syndrome (TTS) after vaccination against the COVID-19 virus, which is apparently not so rare at all.
10 years from now, every Democrat will claim it was the Republicans that were for the shutdowns and mandatory vaccines.
The parties flipped.
That’s a lot to read and my eyes are red and itchy today. Please summarize, is the “zero efficacy” regarding preventing or causing death? /s
#Pureblood🩸
I’m convinced ; the MRNA vaccines facilitate ones susceptibility to
onset of Shingles ( herpes zoster virus)?
Czechmate.
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