Leavers beginning to realise EU states see EU *fundamentally* differently from how Leavers see it. THREAD 1/9
How it How it\u2019s
— Simon Cox (@SimonFRCox) December 10, 2020
started going pic.twitter.com/nOHaFj2377
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1/ One year of destroyed economies, social isolation & deep social splits calls for an anniversary ⬇️thread ⬇️ to celebrate the RT-qPCR manuscript by Christian Drosten (@c_drosten) & Victor Corman (@vmcorman), submitted on 21st Jan 2020 to @Eurosurveillanc. #UnbiasedScience
2/ Before this very publication, virologists were neither treated like superstars, nor were they considered icons or half-gods. In 2009, Drosten almost succeeded in installing the false premise virology could supersede holistic medical sciences as discussed in this thread.
3/ Drosten is a virologist. He neither has any background in epidemiology, nor has he ever worked in the civil service. He also doesn’t have a background in public health. Yet he and his colleagues affect our daily lives to the level of whom to meet up or how to flush the toilet.
4/ Before January 2020, Drosten and Corman were common virologists at Charité Berlin, whenever they were not involved in economic implications (https://t.co/UTDwG8U7Du). Other than that, they looked at coronaviruses in dromedary calves in the Middle East or Africa. 😍 #cute
5/ Finally in Jan 2020, the published paper laid the theoretical grounds for the current pandemic, the RT-qPCR mass testing-religion, for which he was awarded his second German Federal Cross of Merit (he received the first one in 2005 for developing the SARS-CoV PCR test).
2/ Before this very publication, virologists were neither treated like superstars, nor were they considered icons or half-gods. In 2009, Drosten almost succeeded in installing the false premise virology could supersede holistic medical sciences as discussed in this thread.
3/ Drosten is a virologist. He neither has any background in epidemiology, nor has he ever worked in the civil service. He also doesn’t have a background in public health. Yet he and his colleagues affect our daily lives to the level of whom to meet up or how to flush the toilet.
4/ Before January 2020, Drosten and Corman were common virologists at Charité Berlin, whenever they were not involved in economic implications (https://t.co/UTDwG8U7Du). Other than that, they looked at coronaviruses in dromedary calves in the Middle East or Africa. 😍 #cute
5/ Finally in Jan 2020, the published paper laid the theoretical grounds for the current pandemic, the RT-qPCR mass testing-religion, for which he was awarded his second German Federal Cross of Merit (he received the first one in 2005 for developing the SARS-CoV PCR test).
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
I've seen many news articles cite that "the UK variant could be the dominant strain by March". This is emphasized by @CDCDirector.
While this will likely to be the case, this should not be an automatic cause for concern. Cases could still remain contained.
Here's how: 🧵
One of @CDCgov's own models has tracked the true decline in cases quite accurately thus far.
Their projection shows that the B.1.1.7 variant will become the dominant variant in March. But interestingly... there's no fourth wave. Cases simply level out:
https://t.co/tDce0MwO61
Just because a variant becomes the dominant strain does not automatically mean we will see a repeat of Fall 2020.
Let's look at UK and South Africa, where cases have been falling for the past month, in unison with the US (albeit with tougher restrictions):
Furthermore, the claim that the "variant is doubling every 10 days" is false. It's the *proportion of the variant* that is doubling every 10 days.
If overall prevalence drops during the studied time period, the true doubling time of the variant is actually much longer 10 days.
Simple example:
Day 0: 10 variant / 100 cases -> 10% variant
Day 10: 15 variant / 75 cases -> 20% variant
Day 20: 20 variant / 50 cases -> 40% variant
1) Proportion of variant doubles every 10 days
2) Doubling time of variant is actually 20 days
3) Total cases still drop by 50%
While this will likely to be the case, this should not be an automatic cause for concern. Cases could still remain contained.
Here's how: 🧵
One of @CDCgov's own models has tracked the true decline in cases quite accurately thus far.
Their projection shows that the B.1.1.7 variant will become the dominant variant in March. But interestingly... there's no fourth wave. Cases simply level out:
https://t.co/tDce0MwO61
Just because a variant becomes the dominant strain does not automatically mean we will see a repeat of Fall 2020.
Let's look at UK and South Africa, where cases have been falling for the past month, in unison with the US (albeit with tougher restrictions):
Furthermore, the claim that the "variant is doubling every 10 days" is false. It's the *proportion of the variant* that is doubling every 10 days.
If overall prevalence drops during the studied time period, the true doubling time of the variant is actually much longer 10 days.
Simple example:
Day 0: 10 variant / 100 cases -> 10% variant
Day 10: 15 variant / 75 cases -> 20% variant
Day 20: 20 variant / 50 cases -> 40% variant
1) Proportion of variant doubles every 10 days
2) Doubling time of variant is actually 20 days
3) Total cases still drop by 50%
