"We're debating a step that has never been taken in American history" to overrule the voters, says @senatemajldr. "This will be the most important vote I've ever cast."
"I will not pretend such a vote will be a harmless protest gesture."
More from Government
Canada is failing to act on Climate Change. @wef @WorldBank @IMFNews @IPCC_CH @UNDPGAIN @AntiCorruptIntl @Pontifex @JustinWelby @OCCRP @StopCorpAbuse @TaxJusticeNet @FairTaxCanada @ecojustice_ca @WCELaw @CanEnvLawAssn @envirodefence @IBA_Canada #cdnpoli
Covid recovery money is going to the oligarchy.
Ottawa and the provinces have put very little on the table to help clean-tech companies directly during Covid 19 while targeting fossil-fuel producers with more than $16 billion in aid.
Coast to coast people have demanded treaties be honored. We demanded climate action, divestment and land back but Canada is not listening. This video shows 10 years of rallies in Waterloo Ontario. City & regional council declared a climate emergency. 🚨
The Bank of China (BOC), SNC-Lavalin and WE Charity were recipients of taxpayer-funded the Covid 19 Canadian Emergency Wage Subsidy (CEWS)
Canada: Falling Far Short On Climate Policy, Emissions Reduction and Energy Transition #cdnpoli #bcpoli #alpolitics #onpoli @JimHarris @MikeHudema @SethDKlein @ElizabethMay @CitizensLobbyCa @lulex @kainagata https://t.co/jhm1TXvAKN pic.twitter.com/yEPINC5PTr
— Below2\xb0C (@Below2C_) December 29, 2020
Covid recovery money is going to the oligarchy.
Ottawa and the provinces have put very little on the table to help clean-tech companies directly during Covid 19 while targeting fossil-fuel producers with more than $16 billion in aid.
Coast to coast people have demanded treaties be honored. We demanded climate action, divestment and land back but Canada is not listening. This video shows 10 years of rallies in Waterloo Ontario. City & regional council declared a climate emergency. 🚨
The Bank of China (BOC), SNC-Lavalin and WE Charity were recipients of taxpayer-funded the Covid 19 Canadian Emergency Wage Subsidy (CEWS)
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!
You May Also Like
H was always unseen in S2NL :)
Those who exited at 1500 needed money. They can always come back near 969. Those who exited at 230 also needed money. They can come back near 95.
Those who sold L @ 660 can always come back at 360. Those who sold S last week can be back @ 301
Those who exited at 1500 needed money. They can always come back near 969. Those who exited at 230 also needed money. They can come back near 95.
Those who sold L @ 660 can always come back at 360. Those who sold S last week can be back @ 301
Sir, Log yahan.. 13 days patience nhi rakh sakte aur aap 2013 ki baat kar rahe ho. Even Aap Ready made portfolio banakar bhi de do to bhi wo 1 month me hi EXIT kar denge \U0001f602
— BhavinKhengarSuratGujarat (@IntradayWithBRK) September 19, 2021
Neuland 2700 se 1500 & Sequent 330 to 230 kya huwa.. 99% retailers/investors twitter par charcha n EXIT\U0001f602