GP State Department diplomats work for Pompeo, not the other way around. They should shut their yaps or quit.

Also, it's telling how much the horrible, illegal attacks on the Capitol have made establishment DC and its permanent bureaucracy quake in their boots.

GP The bureaucrats have always assumed they were untouchable, unassailable, protected. They assumed things would never change and that people in the hinterlands could safely be ignored forever because they're backwards hick Jesus-loving gun clingers and too dumb to listen to.
GP Government's overall disregard for ordinary Americans from treating us like bottomless wallets to trying to force us to believe as they do to ignoring basic legal and constitutional restraints on their actions built resentment over time and DC was blind to it.
GP When the hicks from the sticks got Trump elected, DC fought back against Trump and by extension them with everything at its disposal. Media pushed made up crap to hamstring Trump. Biden and Obama secretly used government to torment and assail an incoming administration.

More from Government

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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