A new study from Columbia University isn’t drawing nearly the attention it deserves. Thankfully, Dr. Robert Malone, inventor of the mRNA technology used in most of the Covid shots, noticed the study and broadcast it to his followers on Twitter.
Here’s the abstract from the study with emphasis added:
Accurate estimates of COVID vaccine-induced severe adverse event and death rates are critical for risk-benefit ratio analyses of vaccination and boosters against SARS-CoV-2 coronavirus in different age groups. However, existing surveillance studies are not designed to reliably estimate life-threatening event or vaccine-induced fatality rates (VFR). Here, regional variation in vaccination rates was used to predict all-cause mortality and non-COVID deaths in subsequent time periods using two independent, publicly available datasets from the US and Europe (month-and week-level resolutions, respectively).
Vaccination correlated negatively with mortality 6-20 weeks post-injection, while vaccination predicted all-cause mortality 0-5 weeks post-injection in almost all age groups and with an age-related temporal pattern consistent with the US vaccine rollout. Results from fitted regression slopes (p<0.05 FDR corrected) suggest a US national average VFR of 0.04% and higher VFR with age (VFR=0.004% in ages 0-17 increasing to 0.06% in ages >75 years), and 146K to 187K vaccine-associated US deaths between February and August, 2021. Notably, adult vaccination increased ulterior mortality of unvaccinated young (<18, US; <15, Europe).
Comparing our estimate with the CDC-reported VFR (0.002%) suggests VAERS deaths are underreported by a factor of 20, consistent with known VAERS under-ascertainment bias. Comparing our age-stratified VFRs with published age-stratified coronavirus infection fatality rates (IFR) suggests the risks of COVID vaccines and boosters outweigh the benefits in children, young adults and older adults with low occupational risk or previous coronavirus exposure. We discuss implications for public health policies related to boosters, school and workplace mandates, and the urgent need to identify, develop and disseminate diagnostics and treatments for life-altering vaccine injuries.
VAERS is one of the largest ad hoc databases of adverse reactions related to vaccination. The VAERS database was created in 1991 to help the federal government track potential vaccine side effects. VAERS, if used correctly by the right people, can be an excellent early warning system for detecting adverse vaccine reactions, especially those that are very rare in clinical trials before vaccine approval. VAERS is a valuable early warning system for many reasons, especially when it comes to new vaccines or old vaccines that have been approved for new uses. Anyone can voluntarily submit a VAERS report, including healthcare professionals, patients, or family members. After all, VAERS accepts reports on whether vaccines have caused them, and bad things happen to people every day-death, disease, and disease.
Underreporting has occurred with VAERS in the United States. Current research suggests that VAERS reports have a 10-50% sensitivity to serious vaccine side effects, which also means an underreporting rate of 50-90%. If VAERS can detect vaccine side effects with an incidence rate of, for example, <= 0.0007% (i.e. 100 Guillain-Barré Syndrome reports from 13 million doses of J&J vaccine) – or 0.0016-0.007% if reporting sensitivity is 10-50% – hypothetical vaccine side effects that VAERS will miss should have a lower incidence rate than this one.
According to one article found in the Washington Standard, ” A study recently released out of Columbia University drops a bombshell many of us already knew – the Vaccine Adverse Event Reporting System (VAERS) undercounts deaths. The underreporting of deaths amounted to a factor of 20. This is especially alarming since the Vaers data is held up as a reliable way of determining if the vaccine is safe and effective in preventing the spread of COVID 19.
Leave a comment