CDC director: Why no, we still can't tell correlation from causation in COVID statisticshttps://hotair.com/ed-morrissey/2022/01/10/cdc-director-why-no-we-still-cant-tell-correlation-from-causation-in-covid-statistics-n440421Why the hell not? The CDC has tracked the COVID-19 pandemic for two years now, since its breakout from China at the beginning of 2020. Rochelle Walensky has run the CDC for almost half that time, a period in which the most pressing concerns about vaccines had already been addressed, while the agency followed the previous administration in dropping the ball on mass production of tests.
One of the most basic questions in any pandemic is true mortality rate. Two years into the COVID-19 pandemic, the CDC still hasn’t set up a system to distinguish causation from correlation, Walensky admits:
...
Ahem. The CDC’s data reporting website makes no such distinction at all. It’s not a case of waiting a few weeks for their “death registry” to catch up. All of its data on admissions and deaths are entirely correlative and always has been. The causation data simply doesn’t exist, and it never did.
The failure to distinguish, in publicly released stats, between deaths
due to Covid and deaths
with Covid in which Covid may not have even been a contributory factor has been notorious for over a year and a half. Inflating "Covid Deaths" served multiple purposes, some political, including having a high "Covid Deaths" number to (falsely) pin on Trump. Now, more than a year and a half later, that
statistical inflation/deception is still current practice.
