Alex1Powell Authors El gato malo
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
also attaching 2 past debunkings of widely disseminated US studies that health officials have attempted to
first, the kansas study spread by CDC and so many "twitterdocs" and politicians.
it's a master class in cherry picking and misusing data through truncation.
the data proving it was false was widely available at the time it was
CDC claims that masks stopped the spread of covid in kansas by comparing masked and non-masked counties.
— el gato malo (@boriquagato) November 23, 2020
counterpoint: this was a cherry pick in terms of date and seasonality.
they ended the "study" aug 23.
then, covid season hit and the masks look to have made no difference. https://t.co/LgyjqPodOC pic.twitter.com/P2cfuZRtDs
also the mass general study, a classic of the "sun-dance" variant: use no control group and then presume that any action undertaken was the result of some thing you did.
ignore the fact that the whole rest of (unmasked) massachusetts got the same
this is from the study that CDC head robert redfield showcased the other night to "prove masks work"
— el gato malo (@boriquagato) July 28, 2020
it it the epidemiological equivalent of doing a sun dance at 5.30 AM and claiming you made that ball of fire in the sky appear
it's assumptive, lacks a control, & proves nothing pic.twitter.com/yTdBa7UFit
the fact that CDC has been spreading studies like these and using them alongside flimsy lab bench experiments with no clinical outcomes or even real world measurement speaks poorly of both CDC & the evidence for masks
the good studies do not support use
back in the halcyon days of 2019, before the great politicization of epidemiology turned up into down and down into sideways, the WHO performed a survey of randomized, controlled trials on masks
— el gato malo (@boriquagato) September 28, 2020
1100 citations were winnowed to the 10 best for review.
masks looked ineffective. pic.twitter.com/A04MVVmXhu
and lab bench droplet projection studies are meaningless.
it's one tiny aspect of a large system and may actually be counterproductive if masks are nebulizing droplets and making virus more aerosol in spread and more deeply
this is a fascinating thread on possible physical properties of masks, viral spread, & infectivity
— el gato malo (@boriquagato) October 24, 2020
in essence, even if a mask stops large droplets, the force of expulsion may nebulize them into aerosols
so, it's possible that aerosol spread of cov is caused/accentuated by masks https://t.co/FiHfMU3NKD