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!
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Week 1 highlights: getting shortlisted for YC W2019🤞, acquiring a premium domain💰, meeting Substack's @hamishmckenzie and Stripe CEO @patrickc 🤩
2/ So what is Brew?
brew / bru : / to make (beer, coffee etc.) / verb: begin to develop 🌱
A place for you to enjoy premium content while supporting your favorite creators. Sort of like a ‘Consumer-facing Patreon’ cc @jackconte
(we’re still working on the pitch)
3/ So, why be so transparent? Two words: launch strategy.
jk 😅 a) I loooove doing something consistently for a long period of time b) limited downside and infinite upside (feedback, accountability, reach).
cc @altimor, @pmarca
4/ https://t.co/GOQJ7LjQ2t domain 🍻
It started with a cold email. Guess what? He was using BuyMeACoffee on his blog, and was excited to hear about what we're building next. Within 2w, we signed the deal at @Escrowcom's SF office. You’re a pleasure to work with @MichaelCyger!
5/ @ycombinator's invite for the in-person interview arrived that evening. Quite a day!
Thanks @patio11 for the thoughtful feedback on our YC application, and @gabhubert for your directions on positioning the product — set the tone for our pitch!
Week 1 highlights: getting shortlisted for YC W2019🤞, acquiring a premium domain💰, meeting Substack's @hamishmckenzie and Stripe CEO @patrickc 🤩
2/ So what is Brew?
brew / bru : / to make (beer, coffee etc.) / verb: begin to develop 🌱
A place for you to enjoy premium content while supporting your favorite creators. Sort of like a ‘Consumer-facing Patreon’ cc @jackconte
(we’re still working on the pitch)
3/ So, why be so transparent? Two words: launch strategy.
jk 😅 a) I loooove doing something consistently for a long period of time b) limited downside and infinite upside (feedback, accountability, reach).
cc @altimor, @pmarca
4/ https://t.co/GOQJ7LjQ2t domain 🍻
It started with a cold email. Guess what? He was using BuyMeACoffee on his blog, and was excited to hear about what we're building next. Within 2w, we signed the deal at @Escrowcom's SF office. You’re a pleasure to work with @MichaelCyger!
5/ @ycombinator's invite for the in-person interview arrived that evening. Quite a day!
Thanks @patio11 for the thoughtful feedback on our YC application, and @gabhubert for your directions on positioning the product — set the tone for our pitch!