https://t.co/TtM25xFGCt
Hello, gentrified farm & food media.
Get your shit together. Clean up your house.
There are thousands of BIPOC and working-class activists doing the real work of building viable, accessible, long-term food systems.
And y'all prefer to work with actual crackpots over them.
Just your reminder that Mikki Willis - a COVID conspiracy theorist who was photographed storming the U.S. Capitol - was on the advisory board for @kissthegroundoc until like five minutes ago.
— SOMETHING ELSE. (@SylvanaquaFarms) January 11, 2021
https://t.co/TtM25xFGCt
https://t.co/TCBJfnZ52e
Indigenous communities are scrambling to vaccinate older tribe members to keep their languages from going extinct.
https://t.co/yFq67WLZxL
And your response to this horror is… horse around with a dude who makes movies about how it's fake? And tries to overturn free and fair elections?
*That's* what you've got?
Think smallpox blankets. Think Reagan & HIV.
That's the playbook you've chosen to run with.
https://t.co/GarixuyOQh
for 40 YEARS. It didn't end until WW2, and you've already forgotten.
https://t.co/CMaIfg5Jxy
Y'all are just the nicest pack of jackals anyone could hope to meet!
More from Society
global health policy in 2020 has centered around NPI's (non-pharmaceutical interventions) like distancing, masks, school closures
these have been sold as a way to stop infection as though this were science.
this was never true and that fact was known and knowable.
let's look.
above is the plot of social restriction and NPI vs total death per million. there is 0 R2. this means that the variables play no role in explaining one another.
we can see this same relationship between NPI and all cause deaths.
this is devastating to the case for NPI.
clearly, correlation is not proof of causality, but a total lack of correlation IS proof that there was no material causality.
barring massive and implausible coincidence, it's essentially impossible to cause something and not correlate to it, especially 51 times.
this would seem to pose some very serious questions for those claiming that lockdowns work, those basing policy upon them, and those claiming this is the side of science.
there is no science here nor any data. this is the febrile imaginings of discredited modelers.
this has been clear and obvious from all over the world since the beginning and had been proven so clearly by may that it's hard to imagine anyone who is actually conversant with the data still believing in these responses.
everyone got the same R
these have been sold as a way to stop infection as though this were science.
this was never true and that fact was known and knowable.
let's look.
above is the plot of social restriction and NPI vs total death per million. there is 0 R2. this means that the variables play no role in explaining one another.
we can see this same relationship between NPI and all cause deaths.
this is devastating to the case for NPI.
clearly, correlation is not proof of causality, but a total lack of correlation IS proof that there was no material causality.
barring massive and implausible coincidence, it's essentially impossible to cause something and not correlate to it, especially 51 times.
this would seem to pose some very serious questions for those claiming that lockdowns work, those basing policy upon them, and those claiming this is the side of science.
there is no science here nor any data. this is the febrile imaginings of discredited modelers.
this has been clear and obvious from all over the world since the beginning and had been proven so clearly by may that it's hard to imagine anyone who is actually conversant with the data still believing in these responses.
everyone got the same R
this methodology is a little complex, so let me explain what i did.
— el gato malo (@boriquagato) May 30, 2020
a few EU countries provide real day of death data. this lets us plot meaningful curves to show rate of disease change.
what struck me is how similar all the curves were.
everyone got the same shape. pic.twitter.com/bN0hILzoSl
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