https://t.co/T9oJN2fjmo
๐ท Rev. Raphael Warnock has become the first Democrat to win a Georgia Senate race in 20 years
He will become Georgia's first Black senator
As of 7:40 am GMT Wednesday, Ossoff had a lead of 9,527 votes out of nearly 4.4 million counted, or a margin of less than 0.2%
https://t.co/T9oJN2fjmo
Ms Abrams, a key figure in the Democratic party, was credited with significantly increasing Democratic turnout in Georgia in the 2020 Presidential election
More from Government
The Manatee-Sarasota area has many connections to the horrific scene of insurrection in Washington DC yesterday. Want to see? Buckle up for this thread: /1
The Manatee GOP expressed support for Josh Hawleyโs objections to certification of the electoral college vote. /2
Josh Hawleyโs home-state newspaper says Hawley has blood on his hands for a โCapitol coup attempt.โ This is who the Manatee GOP cheered on.
Florida GOP Vice Chair & Sarasota County Commissioner Christian Ziegler was at the protest, as described in this @HeraldTribune article.
The protest was led by the same people connected to Ziegler who were filming outside the Vern Buchanan town hall at the Van Wezel in Sarasota in 2017, namely Dustin Stockton. Stockton was also part of Steve Bannon's border wall group. /5
https://t.co/NbOxVqbtO4
The Manatee GOP expressed support for Josh Hawleyโs objections to certification of the electoral college vote. /2
Josh Hawleyโs home-state newspaper says Hawley has blood on his hands for a โCapitol coup attempt.โ This is who the Manatee GOP cheered on.
Florida GOP Vice Chair & Sarasota County Commissioner Christian Ziegler was at the protest, as described in this @HeraldTribune article.
The protest was led by the same people connected to Ziegler who were filming outside the Vern Buchanan town hall at the Van Wezel in Sarasota in 2017, namely Dustin Stockton. Stockton was also part of Steve Bannon's border wall group. /5
https://t.co/NbOxVqbtO4
1 of 19) A number of tweets were posted by @LLinWood beginning late last night and into the morning. There are a total of 19. This thread has compiled all.
{โShots fired across the bowโ}
{Warning to traitors}
{Light will reveal the evil plans}
{You were warned traitors}
{โShots fired across the bowโ}
{Warning to traitors}
{Light will reveal the evil plans}
{You were warned traitors}
As background to tweets I am about to post, you should read this article carefully. I ask that you read each of my tweets carefully & decide if the information conveyed demands that Patriots rise up so that every lie will be revealed.@realDonaldTrumphttps://t.co/9KIX4DEtha
— Lin Wood (@LLinWood) January 4, 2021
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!
