THREAD: Scottish women who had impact in Europe. Born illegitimate in Oban, Victorian Rose Blaze de Bury moved to Paris, where she hosted a salon, wrote several novels, drafted an economic plan for Austria & helped set up a bank. She corresponded with Bismark. Jawdropping no? /1
https://t.co/0kBZczY1L6
/4
Cos I'm in Spain - a thread of Scottish foremothers who fought fascism during the Civil War 1936-9. Cos fighting facism is important. This is Annie Murray Knight - a nurse. Her stories of Italian planes dropping sweet tins with bombs inside, which blew up kids, are harrowing. /1 pic.twitter.com/NCPcxDo0S8
— Sara Sheridan (@sarasheridan) September 19, 2019
Fantastic\U0001f49c I always love these lists!! From an entirely selfish pov could recommend Dr Katherine MacPhail, who ignored the ban on women being allowed on the ww1 front, to save lives in Serbia & setting up Belgrade's first sick kids hospital pretty much single handed #shecan \U0001f4aa\U0001f49c
— Iain MacPhail (@LeithWhisky) December 26, 2020
Can I add Catherine Read to the list please?
— Philip Kingscott (@philipkingscott) December 27, 2020
One of the first successful Scottish female artists. Created beautiful pastels and was the talk of the court in Paris and Rome. pic.twitter.com/phlLrgL4Oj
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
Krugman is, of course, right about this. BUT, note that universities can do a lot to revitalize declining and rural regions.
See this thing that @lymanstoneky wrote:
And see this thing that I wrote:
And see this book that @JamesFallows wrote:
And see this other thing that I wrote:
One thing I've been noticing about responses to today's column is that many people still don't get how strong the forces behind regional divergence are, and how hard to reverse 1/ https://t.co/Ft2aH1NcQt
— Paul Krugman (@paulkrugman) November 20, 2018
See this thing that @lymanstoneky wrote:
And see this thing that I wrote:
And see this book that @JamesFallows wrote:
And see this other thing that I wrote:
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