NEW YORK.🚨🚨

"THE GOVERNOR... MAY ORDER THE *REMOVAL* AND/OR *DETENTION* OF SUCH A PERSON OR OF A GROUP OF SUCH PERSONS BY ISSUING A SINGLE ORDER.... SUCH PERSON OR GROUP OF PERSONS SHALL BE *DETAINED* IN A MEDICAL FACILITY OR OTHER APPROPRIATE FACILITY"

Tyranny. Period.🔻

"IF A PERSON OR GROUP DETAINED... NEEDS TO BE DETAINED *BEYOND THREE BUSINESS DAYS,* THEY SHALL BE PROVIDED WITH AN ADDITIONAL COMMISSIONER'S ORDER PURSUANT TO SUBDIVISIONS TWO AND EIGHT OF THIS SECTION."

This is not even close to Constitutional. This is CCP-level tyranny.
NY's proposed "law" would not be a law at all. It flagrantly, blatantly & explicitly violates the Fourth Amendment rights of ALL American citizens. This is arrest without due process rights. It is the kind of Intolerable Act our Founders went to war over.
https://t.co/KAb3MZccTj

More from Kyle Becker

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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