Every AMERICAN should want FREE & FAIR elections and NO TRAITORS inside our government.

For 4 YEARS the traitors have been exposed and there's been NO JUSTICE yet leaders call for PEACE as Nation descends into the hands of the ENEMY who are openly talking about HUNTING AMERICANS

More from ⚡️🇺🇸⚖️Todd Doyle⚖️🇺🇸⚡️

Rainwalker.


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https://t.co/ulo36RPxu5

Can music be

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Long thread: Because I couldn’t find anything comprehensive, I’m just going to post everything I’ve seen in the news/Twitter about Trump’s activities related to the Jan 6th insurrection. I think the timing & context of his actions/inactions will matter a lot for a senate trial.

12/12: The earlier DC protest over the electoral college vote during clearly inspired Jan 6th. On Dec 12th, he tweeted: “Wow! Thousands of people forming in Washington (D.C.) for Stop the Steal. Didn’t know about this, but I’ll be seeing them! #MAGA.”


12/19: Trump announces the Jan. 6th event by tweeting, “Big protest in D.C. on January 6th. Be there, will be wild!” Immediately, insurrectionists begin to discuss the “Wild Protest.” Just 2 days later, this UK political analyst predicts the violence


12/26-27: Trump announces his participation on Twitter. On Dec. 29, the FBI sends out a nationwide bulletin warning legislatures about attacks https://t.co/Lgl4yk5aO1


1/1: Trump tweets the time of his protest. Then he retweets “The calvary is coming” on Jan. 6!” Sounds like a war? About this time, the FBI begins visiting right wing extremists to tell them not to go--does the FBI tell the president? https://t.co/3OxnB2AHdr
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!

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