They've had months to roll this out.
The government isn't administering the vaccines, but they bankrolled the private pharmaceutical industry to study, create a vaccine, distribute and administer the vaccines.
as with every viral tweet, people are taking the wrong message, so let me clarify that this is not the pharmacist\u2019s fault. It\u2019s the fault of the people who planned or failed to plan for how this was going to work over the last nine months
— Christopher Hooks (@cd_hooks) December 31, 2020
The U.S. Government will own the resulting 100 million doses of vaccine, and will have the option to acquire more.
More from Government
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.
Texas Gov. Abbott blames solar and wind for the blackouts in his state and says "this shows how the Green New Deal would be a deadly deal for the United States of America" pic.twitter.com/YfVwa3YRZQ
— Andrew Lawrence (@ndrew_lawrence) February 17, 2021
2. Point 2: there were clear signs the grid would get overloaded under extreme cold conditions. Why? Due to a vacuum of regulations mandating winterization of turbines and power generators. This from sources, in Texas!
3. Point 3: Of the power shortfall that hit Texas, over 80% was due to problems at coal and gas fired plants. Power generators were just not winterized. Decisions to do so have been ignored since the 1990s.
4. Point 4: these are winterized wind turbines in Denmark. The ocean is frozen. The turbines are generating.
Same thing in Denmark. It's cold enough here that the ocean is frozen and yet look at those reliable windmills just chugging along. pic.twitter.com/1NTljk7hk9
— Elizabeth Gummere (@BethGummere) February 17, 2021
5. #Texas| the main issue is: catastrophic governance at the State level (no Federal oversight of the Texas grid) failing to allocate funding to winterise the Natural Gas, Coal and Wind Turbine elements that contribute to the grid. (~ 80/20
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!