"The United States seeks to impose tangible and significant consequences on those who commit serious human rights abuse or engage in corruption, as well as to protect the financial system of the United States from abuse by these same persons."
[Cause]
Define 'Subversion'.
The act of subverting : the state of being subverted; especially : a systematic attempt to overthrow or undermine a government or political system by persons working secretly from within?
"The United States seeks to impose tangible and significant consequences on those who commit serious human rights abuse or engage in corruption, as well as to protect the financial system of the United States from abuse by these same persons."
More from Government
🧵⬇️1. Fb is LifeLog, LifeLog is Darpa, and DARPA is a Enterprise Run by CIA... Well... Past President... Big Tech, Big Pharma, MSM, HOLLYWOOD, DC...
Past Presidents....Zuckerberg, Gates...
All C_A... the Family business.... The company...
2. Past Presidents....Zuckerberg, Gates...
All C_A... the Family business.... The company...The Farm.... all C_A assets... most of them related by blood, business, or marriage...
3. "The individual is handicapped by coming face-to-face with a conspiracy so monstrous he cannot believe it exists. The American mind simply has not come to a realization of the evil which has been introduced into our midst." - J. Edgar Hoover
4. diff. names & faces.... Monsters that lurk in the Shadows. Swamp, Deep State, Establishment, Globalist Elite Cabal...
Shall we go back...How far back...
5. I know these monsters... it's when I try to explain them to others is when I run into a problem.This is why I'm better at retweeting and compiling. I never know where to start... Everytime I try to thread, i end up w/ a messy monstrous web.I'm better at helping others thread.
Past Presidents....Zuckerberg, Gates...
All C_A... the Family business.... The company...
BREAKING\u2014 \u201cThis \u2018SHADOW GOVERNMENT\u2019 had a huge hand in running the show on Nov. 3 and you may have not known it\u201d says attorney Phil Kine. @newsmax pic.twitter.com/8ypASTEA1Z
— White Rabbit News \u277c (@WhiteRabbitNN) December 17, 2020
2. Past Presidents....Zuckerberg, Gates...
All C_A... the Family business.... The company...The Farm.... all C_A assets... most of them related by blood, business, or marriage...
3. "The individual is handicapped by coming face-to-face with a conspiracy so monstrous he cannot believe it exists. The American mind simply has not come to a realization of the evil which has been introduced into our midst." - J. Edgar Hoover
4. diff. names & faces.... Monsters that lurk in the Shadows. Swamp, Deep State, Establishment, Globalist Elite Cabal...
Shall we go back...How far back...
5. I know these monsters... it's when I try to explain them to others is when I run into a problem.This is why I'm better at retweeting and compiling. I never know where to start... Everytime I try to thread, i end up w/ a messy monstrous web.I'm better at helping others thread.
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!