More from RealRLD

https://t.co/4URpPnni05 @scientificecon @jbhearn @wesfree @financialeyes @JoeBlob20 @GrubStreetJorno @wiki_ballot @Pathos14658352
The Road to 2021 Thread.

https://t.co/dSznB4Wg46
@scientificecon @jbhearn @wesfree @financialeyes @JoeBlob20 @GrubStreetJorno @wiki_ballot @Pathos14658352

https://t.co/GvExaHUoqS
@scientificecon @jbhearn @wesfree @financialeyes @JoeBlob20 @GrubStreetJorno @wiki_ballot @Pathos14658352

https://t.co/RS3RcYEgsH
@scientificecon @jbhearn @wesfree @financialeyes @JoeBlob20 @GrubStreetJorno @wiki_ballot @Pathos14658352

https://t.co/Z8vYbaC5Cu
@scientificecon @jbhearn @wesfree @financialeyes @JoeBlob20 @GrubStreetJorno @wiki_ballot @Pathos14658352
@jbhearn @scientificecon @JoeBlob20 @financialeyes @Lloyd__Evans @wiki_ballot @GrubStreetJorno
#CovidStroika #CovidPurpose #GreatReset #GFC11
https://t.co/gUb9OX7AdL https://t.co/qqXCutbKK1


https://t.co/3D4TpmeXZr #CovidStroika @jbhearn @scientificecon @JoeBlob20 @financialeyes @Lloyd__Evans @wiki_ballot @GrubStreetJorno

Night has fallen only for those who have let themselves fall into the night. For
those who are living, [says Heraclitus], "helios neos eph’hemerei estin"– the sun is
new each day.


"in effect, all business sagacity reduces itself in the last analysis to judicious use of sabotage."
Veblen (1917) An Inquiry .. Nature of Peace, &.. Perpetuation, p. 168
#CovidStroika @jbhearn @scientificecon @JoeBlob20 @financialeyes @Lloyd__Evans @wiki_ballot @GrubStreetJorno


https://t.co/OtstKx9heK #CovidStroika
@jbhearn @scientificecon @JoeBlob20 @financialeyes @Lloyd__Evans @wiki_ballot @GrubStreetJorno JOURNAL OF INTEGRAL THEORY AND PRACTICE. NOTES FOR CONTEXTUAL SEARCH ENGINE OFFERING INTEGRAL FRAMEWORK PERSPECTIVES. GRUB STREET JOURNAL NOTE 1.

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!

You May Also Like