Me : Most of the One Nation Conservatives were kicked out of the party. Largesse with the Gov purse in a "Chumocracy" is not what Disraeli meant by "One Nation".
X : Do you not like any Conservatives?
Me : Of course I do. Being Old Labour (Socialist), I have a closer affinity to many One Nation Tories than I do with Blairites, Thatcherites or Communists. Vice versa One Nation. We value the market as a tool, society matters more.
Me : Most of the One Nation Conservatives were kicked out of the party. Largesse with the Gov purse in a "Chumocracy" is not what Disraeli meant by "One Nation".
Me : Both parties - Labour and Conservative - have tended to be broad churches. You'll often find agreement within groups from multiple parties and infighting between groups within a party.
Me : A "new liberal" and a "social capitalism" party?
X : Yes
Me : Bad idea ...
Me : I was keeping it simple to explain a point, the main party's are broad churches and not one thing. I agree that liberals have many facets.
The SNP is at least more politically relevant but as I said, I was keeping it simple.
Me : No. Well ... that depends upon your perception i.e. economic thought is distorted between regions. You can see this by sticking to Western philosophy and comparing US to Europe and their perceptions of China and economic thinking.
More from Simon Wardley
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
It is simply not correct to point fingers at wind & solar energy as we try to understand the situation in TX. The system (almost) had a plan for weather (almost) like this. 1/x
It relied on very little wind energy - that was the plan. It relied on a lot of natural gas - that was the plan. It relied on all of its nuclear energy - that was the plan. 2/x
There was enough natural gas, coal and nuclear capacity installed to survive this event - it was NOT "forced out" by the wind energy expansion. It was there. 3/x
Wind, natural gas, coal and nuclear plants all failed to deliver on their expectations for long periods of time. The biggest gap was in natural gas! The generators were there, but they were not able to deliver. 4/x
It may be fair to ask why there is so much wind energy in ERCOT if we do NOT expect it to deliver during weather events like this, but that is an entirely different question - and one with a lot of great answers!! 5/x
Conservatives are using the Texas power chaos to argue against climate policy even as fossil-generated power outages dwarf the amount of renewables knocked offline during the historic deep freeze. President Biden and progressives have been slow to respond.https://t.co/UajKhptEAU
— E&E News (@EENewsUpdates) February 17, 2021
It relied on very little wind energy - that was the plan. It relied on a lot of natural gas - that was the plan. It relied on all of its nuclear energy - that was the plan. 2/x
There was enough natural gas, coal and nuclear capacity installed to survive this event - it was NOT "forced out" by the wind energy expansion. It was there. 3/x
Wind, natural gas, coal and nuclear plants all failed to deliver on their expectations for long periods of time. The biggest gap was in natural gas! The generators were there, but they were not able to deliver. 4/x
It may be fair to ask why there is so much wind energy in ERCOT if we do NOT expect it to deliver during weather events like this, but that is an entirely different question - and one with a lot of great answers!! 5/x
