1/ Vaccination Math = Let’s assuredly kill K% of people now and medically harm H% of people now because X% and Y% may (or may not) die and be harmed later.
To assess risk/reward, you need to know K, H, X, and Y. You also need a factor to account for the future “may or may not.”
To assess risk/reward, you need to know K, H, X, and Y. You also need a factor to account for the future “may or may not.”
2/ The factors that play into “may or may not” include modeling the herd immunity threshold (natural), viral evolution/attenuation rate, AND the adoption of current and new treatments, among other factors. We’ll call this factor “M”.
3/ Honest question: Do you think the powers that be did this type of math before pulling the trigger on the unprecedented campaign to vaccinate every person on the planet?
4/ How could they know H without long range and comprehensive safety data? What are the health effects of the vaccine on fertility, cancer rates, heart disease, clotting/blood disorders, strokes, autoimmune disorders, brain disease, organ damage, etc? The potential of ADE?
5/ And how could they know K without taking the VAERS data seriously. Keep in mind that even if they did take the VAERS data seriously, that data wasn’t available until AFTER they pulled the trigger.
6/ I believe they had enough data to model/predict X, Y, and even M , but they didn’t know K or H with high enough confidence. And for that reason, and that reason alone, they should have never pulled the trigger.
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