Sorry Joe, we realize your Chinese media puppets won’t speak the truth but, that doesn’t mean the truth won’t be spoken...
You are on the wrong side of history...
More from Werise
I shared something I was working on before November...
I think it is relatable to what we have experienced. I was working on other things as well... https://t.co/U7mS9QyjFD
I think it is relatable to what we have experienced. I was working on other things as well... https://t.co/U7mS9QyjFD
I was working on something before the election that became the election...
— Werise (@We_Have_Risen) January 7, 2021
Color revolutions are real and we just witnessed one live and direct...
1. pic.twitter.com/2u4rDGvl9N
More from Government
This is a good piece on fissures within the GOP but I think it mischaracterizes the Trump presidency as “populist” & repeats a story about how conservatives & the GOP expelled the far-right in the mid-1960s that is actually far more complicated. /1
I don’t think the sharp opposition between “hard-edge populism” & “conservative orthodoxy” holds. Many of the Trump administration’s achievements were boilerplate conservatism. Its own website trumpets things like “massive deregulation,” tax cuts, etc. /2
https://t.co/N97v85Bb79
The claim that Buckley and “key GOP politicians banded together to marginalize anti-Communist extremism and conspiracy-mongering” of the JBS has been widely repeated lately but the history is more complicated. /3
This tweet by @ThePlumLineGS citing a paper by @sam_rosenfeld and @daschloz on the "porous" boundary between conservatives, the GOP and the far-right is relevant in this context.
This is a separate point but I find it interesting that Gaetz, like Roy Moore did In his failed Senate campaign, disses McConnell. What are their actual policy differences? MM supported taking health care away from millions, a tax cut for the rich, conservative judges, etc. /5
I don’t think the sharp opposition between “hard-edge populism” & “conservative orthodoxy” holds. Many of the Trump administration’s achievements were boilerplate conservatism. Its own website trumpets things like “massive deregulation,” tax cuts, etc. /2
https://t.co/N97v85Bb79
The claim that Buckley and “key GOP politicians banded together to marginalize anti-Communist extremism and conspiracy-mongering” of the JBS has been widely repeated lately but the history is more complicated. /3
This tweet by @ThePlumLineGS citing a paper by @sam_rosenfeld and @daschloz on the "porous" boundary between conservatives, the GOP and the far-right is relevant in this context.
There's a great paper called "The Long New Right" that tells the story of the GOP/conservative movement's failure to police extremists for the last 50 years.
— Greg Sargent (@ThePlumLineGS) January 28, 2021
It's highly relevant to the insurrection and Marjorie Greene's lunacy.
I summed it up here:https://t.co/DTlzGomy5h pic.twitter.com/Dhc38CDuE2
This is a separate point but I find it interesting that Gaetz, like Roy Moore did In his failed Senate campaign, disses McConnell. What are their actual policy differences? MM supported taking health care away from millions, a tax cut for the rich, conservative judges, etc. /5
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!
