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)

@GenFlynn AND Adm. Rogers arrived at Trump tower on NOVEMBER 17, 2016.... Rogers discovered @BarackObama ‘702’ Illegal Spying Operation and Briefed Trump @ Trump Tower...
THE NEXT DAY (Nov. 18, 2016) @realDonaldTrump MOVED transition meetings to private golf club in New Jersey... It was even reported in the press!!

https://t.co/h2WcgKEM58
The following week (4 days later) POTUS tweeted, "Great meetings will take place today at Trump Tower concerning the formation of the people who will run our government for the next 8 years."
The only problem for [THEM] spying??? Trump Team ALREADY MOVED OUT OF TRUMP TOWER!!!!

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!)
I noticed the timeline and got an @(You) from 17 when I pointed out the "Great meetings will take place today..." tweet on Nov. 22.

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
#3212
GOT 'EM!!!!!! 17 was RIGHT!

"THESE PEOPLE ARE STUPID!"
Do you honestly think we came THIS FAR only to surrender to [THEM]???

NOT A CHANCE!!!

FIGHT!
FIGHT!
FIGHT!

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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