THREAD: At What Point?
I'm pissed and have MANY questions we ALL need answered.
When a nation's government commits crimes against its own people, is there a RED LINE between the words 'crime' and 'terrorism'?
@GenFlynn
@LLinWood
@SidneyPowell1
More from Government
This article by Jim Spellar for @LabourList misses the point about why Labour needs to think seriously about constitutional reform - and have a programme for it ready for government.
The state of our constitution is a bit like the state of the neglected electric wiring in an old house. If you are moving into the house, sorting it out is a bit tedious. Couldn’t you spend the time and money on a new sound system?
But if you ignore the wiring, you’ll find that you can’t safely install the new sound system. And your house may well catch fire.
Any programme for social democratic government requires a state with capacity, and a state that has clear mechanisms of accountability, for all the big and all the small decisions that in takes, in which people have confidence.
That is not a description of the modern UK state.
"Voters don\u2019t care about how the D\u2019Hondt system works or about how you\u2019d geographically carve up a regional assembly... They want results.\u2070"@spellar on why Labour should stop obsessing over constitutional issues: https://t.co/W0zsire5xI
— LabourList (@LabourList) February 11, 2021
The state of our constitution is a bit like the state of the neglected electric wiring in an old house. If you are moving into the house, sorting it out is a bit tedious. Couldn’t you spend the time and money on a new sound system?
But if you ignore the wiring, you’ll find that you can’t safely install the new sound system. And your house may well catch fire.
Any programme for social democratic government requires a state with capacity, and a state that has clear mechanisms of accountability, for all the big and all the small decisions that in takes, in which people have confidence.
That is not a description of the modern UK state.
Which metric is a better predictor of the severity of the fall surge in US states?
1) Margin of Democrat victory in Nov 2020 election
or
2) % infected through Sep 1, 2020
Can you guess which plot is which?
The left plot is based on the % infected through Sep 1, 2020. You can see that there is very little correlation with the % infected since Sep 1.
However, there is a *strong* correlation when using the margin of Biden's victory (right).
Infections % from https://t.co/WcXlfxv3Ah.
This is the strongest single variable I've seen in being able to explain the severity of this most recent wave in each state.
Not past infections / existing immunity, population density, racial makeup, latitude / weather / humidity, etc.
But political lean.
One can argue that states that lean Democrat are more likely to implement restrictions/mandates.
This is valid, so we test this by using the Government Stringency Index made by @UniofOxford.
We also see a correlation, but it's weaker (R^2=0.36 vs 0.50).
https://t.co/BxBBKwW6ta
To avoid look-ahead bias/confounding variables, here is the same analysis but using 2016 margin of victory as the predictor. Similar results.
This basically says that 2016 election results is a better predictor of the severity of the fall wave than intervention levels in 2020!
1) Margin of Democrat victory in Nov 2020 election
or
2) % infected through Sep 1, 2020
Can you guess which plot is which?
The left plot is based on the % infected through Sep 1, 2020. You can see that there is very little correlation with the % infected since Sep 1.
However, there is a *strong* correlation when using the margin of Biden's victory (right).
Infections % from https://t.co/WcXlfxv3Ah.
This is the strongest single variable I've seen in being able to explain the severity of this most recent wave in each state.
Not past infections / existing immunity, population density, racial makeup, latitude / weather / humidity, etc.
But political lean.
One can argue that states that lean Democrat are more likely to implement restrictions/mandates.
This is valid, so we test this by using the Government Stringency Index made by @UniofOxford.
We also see a correlation, but it's weaker (R^2=0.36 vs 0.50).
https://t.co/BxBBKwW6ta
To avoid look-ahead bias/confounding variables, here is the same analysis but using 2016 margin of victory as the predictor. Similar results.
This basically says that 2016 election results is a better predictor of the severity of the fall wave than intervention levels in 2020!
