According to their scientific research, ‘anomalies in vaccine data may stem from the misclassification of those who have died within 14 days of a COVID injection as unvaccinated.’
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Researchers from Queen Mary University in London have discovered anomalies in COVID-19 vaccine data indicating that the narrative supporting the effectiveness of the jabs is “massively exaggerated” and that the vaccines expose recipients to a risk of “increased mortality”.
Most likely it’s because the government misclassified the deaths of those who have died within 14 days of a COVID injection as “unvaccinated.”
Watch the interview, where RENOWNED scientists give their insights on the situation.
“When it comes to the vaccine, ultimately, the only truly objective way to evaluate its overall risk vs. benefit is to compare the all-cause mortality for the vaccinated against the unvaccinated,” he stated.
“So, in crude terms, if the virus is as dangerous as claimed and the vaccine is as effective as claimed, then we should by now have data confirming that the vaccines are saving a lot more lives than they’re killing.”
“Looking closely at the data provided by the United Kingdom’s Office for National Statistics (ONS), which suggested the vaccines were effective, Fenton and his co-author Dr. Martin Neil, “found so many inconsistencies and anomalies in the data that when you take account of the most obvious explanations for these, there really is no reliable evidence that the vaccines reduce all-cause mortality.”
“In fact, if you take account of the fact that newly vaccinated people who die, are likely being misclassified as unvaccinated—because that’s the most likely explanation for the strange things in the data—then you get to the conclusion that the vaccines don’t seem to reduce the all-cause mortality, but rather produce a genuine spike in all-cause mortality shortly after vaccination,” he summarized.