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Bayesian factors to be considered 1. Hard covid- natural immunity 2. Number shots 3. Age? There should be a checklist somewhere of all the factors that need to be considered and the the analytical result should always be a distribution, not a single ratio.

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If you have the time and inclination to write an article about these factors, I would be very happy to update my article with a link to your analysis.

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How many people in VAERS are now since dead, but we’re alive when report was filed? How many people are dead now but initial report was filed as only a administration error like inappropriate age, temperature excursion, lot expiration, dilution over/under, etc..., VAERS only publishes initial reports. The throttling. VAERS probably does publish all legitimate reports received, vsafe runs interference on VAERS, how many more reports would have been in VAERS had vsafe not existed? Basically having vsafe NOT co-mingled In VAERS is arbitrary. VAERS is stacked in vaccines favor 50 ways, yet PhD’s want ignore all that and wow us with their math and intellect. How much illness of today was caused by vaccines of yesterday? The global control group in almost gone, measuring mildly retarded against full retarded showing how safe a vaccine is feels like what is going on... Then we have to believe in a big bad virus will kill the world if vaccines don’t exist? I guess if one believes in asymptomatic spread, one is a lost case already. I guess God did not create an amazing body, but man can create something better? The world is being deceived with sorcery and slick math IMO. Pretty soon they will only need real smoke and real mirrors to deceive the mildly retarded...

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