This data mainly shows the "card trick" directing people to the prefered policy of boosting (previously boosting).
Basically the official 2-week lag (and then some reporting lag too) between considered unvaxt>vaxt, 2-jabbed>boosted ...means the negative data falls into the category the politicians are pushing. It's like attributing a pede…
This data mainly shows the "card trick" directing people to the prefered policy of boosting (previously boosting).
Basically the official 2-week lag (and then some reporting lag too) between considered unvaxt>vaxt, 2-jabbed>boosted ...means the negative data falls into the category the politicians are pushing. It's like attributing a pedestrian death to the pavement when they actually got run over in the street.
This data mainly shows the "card trick" directing people to the prefered policy of boosting (previously boosting).
Basically the official 2-week lag (and then some reporting lag too) between considered unvaxt>vaxt, 2-jabbed>boosted ...means the negative data falls into the category the politicians are pushing. It's like attributing a pedestrian death to the pavement when they actually got run over in the street.
Full (necessarily complex) analysis
https://boriquagato.substack.com/p/bayesian-datacrime-defining-vaccine