NEVER FORGET how stupid [THEY] have been from the beginning!!!
BOTH @GenFlynn and #AdmMikeRogers went to Trump Tower on Nov 17, 2016.
IMPORTANT DATE to remember!!!! (THREAD)
https://t.co/h2WcgKEM58
This was a SETUP by #POTUS and Team because they KNEW about surveillance (From Adm Rogers/Flynn)....
(Trump later in 2017 tweeted that he "just found out" about Obama surveillance...KEK!)
That Nov. 22 tweet was BAIT to CATCH THEM spying in the very beginning (and they spied even before that)!!
"We have it all." - 17
More from Government
'Peaceful transition to Military Power....'
Cannon
44
....heard around the world
NG - High Alert https://t.co/lfeSiUCCRB
We Will Never Forget
44
Stage is set
https://t.co/h6G3LCevII
Following the 44 trail of breadrumbs
https://t.co/PcX0uKUEUW
Cannon
44
....heard around the world
NG - High Alert https://t.co/lfeSiUCCRB
\U0001f4a5 BOOM \U0001f4a5
— R\u0113d.P\u012bll.Ph\u0101rm\u0101c\u012bst (@Red_Pill_Pharma) January 18, 2021
30 secs in - what do I hear?
\u2018Peaceful transition to military power\u2019
\U0001f1fa\U0001f1f8 MILITARY IS THE ONLY WAY \U0001f1fa\U0001f1f8 pic.twitter.com/9NPMT7N7Qy
We Will Never Forget
44
Stage is set
https://t.co/h6G3LCevII
The stage is set. Staged.
— JeLove (@LovesTheLight) November 7, 2020
Where? (the) Delaware.
10:44
Purple
First graphic in 98https://t.co/PKHlxp0rzS pic.twitter.com/XCx6pVQTHx
Following the 44 trail of breadrumbs
https://t.co/PcX0uKUEUW
Boom, Boom, Boom pic.twitter.com/ZcZXAgL0Qf
— JeLove (@LovesTheLight) August 13, 2020
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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The first area to focus on is diversity. This has become a dogma in the tech world, and despite the fact that tech is one of the most meritocratic industries in the world, there are constant efforts to promote diversity at the expense of fairness, merit and competency. Examples:
USC's Interactive Media & Games Division cancels all-star panel that included top-tier game developers who were invited to share their experiences with students. Why? Because there were no women on the
ElectronConf is a conf which chooses presenters based on blind auditions; the identity, gender, and race of the speaker is not known to the selection team. The results of that merit-based approach was an all-male panel. So they cancelled the conference.
Apple's head of diversity (a black woman) got in trouble for promoting a vision of diversity that is at odds with contemporary progressive dogma. (She left the company shortly after this
Also in the name of diversity, there is unabashed discrimination against men (especially white men) in tech, in both hiring policies and in other arenas. One such example is this, a developer workshop that specifically excluded men: https://t.co/N0SkH4hR35
USC's Interactive Media & Games Division cancels all-star panel that included top-tier game developers who were invited to share their experiences with students. Why? Because there were no women on the
ElectronConf is a conf which chooses presenters based on blind auditions; the identity, gender, and race of the speaker is not known to the selection team. The results of that merit-based approach was an all-male panel. So they cancelled the conference.
Apple's head of diversity (a black woman) got in trouble for promoting a vision of diversity that is at odds with contemporary progressive dogma. (She left the company shortly after this
Also in the name of diversity, there is unabashed discrimination against men (especially white men) in tech, in both hiring policies and in other arenas. One such example is this, a developer workshop that specifically excluded men: https://t.co/N0SkH4hR35