NEW STUDY: FALSIFIED COVID DEATH DATA TO INVENT PANDEMIC SCAM

Italian original version
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The study can be read by clicking here.

1) THE DEATHS OF THE "UNVACCINATED" ARE EXPLAINED BY VACCINE ADMINISTRATION

In Italy and elsewhere in the world, during the pandemic farce, it was common to consider those who had been inoculated less than 14 days earlier as unvaccinated (pp. 12 of the PDF). This was done with each new dose, so even after five doses of poison, if you get the sixth, you're still an anti-vaxxer for 14 days. This is because, according to them, the poison begins to be effective 14 days after inoculation. Three age groups were selected for the study: 50-59, 60-69, and 70-79. For each age group, the Mann-Whitney U test, a nonparametric test, was performed to determine whether there was a significant difference in all-cause mortality between vaccinated and unvaccinated individuals. After identifying the differences in mortality rates, a linear regression model was constructed that, assuming vaccine administration as the independent variable, estimated the mortality rate in the unvaccinated. The nonparametric test detected an excess of mortality in the unvaccinated in all three groups, and the linear regressions found that trends in vaccine administration predicted the number of deaths in the unvaccinated:

R2 = 0.659; p-value < .0001 70-79 group
R2 = 0.317; p-value < .0001 60-69 group
R2 = 0.290; p p-value < .0001 50-59 group

The more doses were administered, the more "unvaccinated" people died. The explanation for this contradictory result is this: the vaccines killed many people classified as unvaccinated based on the ISS 14-day rule, and thus, with malice, they were able to engineer the pandemic farce and blame anti-vaxxers for COVID-related deaths that never occurred. The study itself states that even subtracting the COVID deaths declared by the system, there would still be excess mortality among those classified as unvaccinated, who were actually vaccinated, and vaccine-related deaths within 14 days of administration.

2) CASE COUNTING WINDOWS BIAS

These results, which have been the basis of the entire pandemic scam, are due to a bias, that is, a statistical error in data counting that, applied maliciously as in this case, has artificially created an excess mortality rate among anti-vaxxers that doesn't exist. This bias is well-known in the literature and can also be used to create a vaccine efficacy that doesn't exist. For example, this study shows that with this method, a vaccine can be made 48% effective even if, hypothetically, it has zero efficacy. Simply consider all positive cases within 14 days of inoculation as "unvaccinated." This can be done not only for efficacy, but, as this study suggests, for any type of data, such as adverse reactions and mortality. This study also showed how, even starting from a negative vaccine efficacy, by applying case counting window bias, it's possible to declare a fairly high positive efficacy. This is precisely the case with COVID poisons, which have a negative efficacy because they suppress the immune system and increase susceptibility to disease. Here, however, they showed how Provaxxers use this bias to falsify myocarditis data, taking this study as an example, where all myocarditis developing within 42 days of inoculation was considered COVID-related, not vaccine-related, myocarditis.

CONCLUSIONS

This bias isn't the only one; Provaxxers also use immortal time bias to produce their fraudulent studies, and, combined, they can make the data say whatever they want. The entire pandemic farce was based on data manipulation, but these techniques don't arise out of nowhere and are also being applied to the evaluation of other vaccines.

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