In 2009, I studied the history of the FBI/CIA and also the Hitler regime (research for a book). I expected it to be a dull errand, not a horrific realization that the evil methods of operation of US agencies were often indistinguishable in their actions from the N regime. AND...
The same is true if a society believes "there's never any justice anyway, so I no longer care... they're ALL evil".
a. Tolerate and accept evil actions that they use to frame/blackmail with
b. Develop apathy toward all evil, accepting, giving up on the fight
Therefore, in their best interest to
So... sometimes...
Agencies and others who appear to be fighting FOR the victims, are actually
In this way, the blackmail methods and materials that they've invested in, still give a solid return on that investment,
"Say this"
"Do this"
And they will.
The moment the blackmail material loses power, the Controllers lose power over their puppets.
In all of this, the victims of heinous crimes are
I'm writing this thread to share my conclusions after researching old records, in actual physical libraries, old dusty books no one reads.
Bad things that violate human rights & universally evil were already proven and documented to have been done by agencies.
The evil progressed because society progressed.
What's a blackmailer to do then?
What's still off limits?
And... it has a logical path.
It did happen.
There has been very little justice over the years.
The situation is ongoing.
THAT is the status, and many know it.
Blackmail material of the past, which may have been something as simple as a photograph of a quaint peck on the cheek as assumed proof of adultery,
However...
the blackmailers now
the downside to them is that there are too many operators and with many players, there will be stupid ones who mess things up.
They can't keep up with all of the mistakes.
More from Government
A thread.
The Government's strategy at the beginning of the pandemic was to 'cocoon' the vulnerable (e.g. those in care homes). This was a 'herd immunity' strategy. This interview is from
Government #coronavirus science advisor Dr David Halpern tells me of plans to \u2018cocoon\u2019 vulnerable groups. pic.twitter.com/dhECJNbmnI
— Mark Easton (@BBCMarkEaston) March 11, 2020
This strategy failed. It is impossible to 'cocoon' the vulnerable, as Covid is passed from younger people to older, more vulnerable people.
We can see this playing out through heatmaps. e.g. these heatmaps from the second
Here are the heatmaps for Covid detected cases, positivity, hospitalizations, and ICU admissions. This is for the week to 3 January 2021.
— Dr Duncan Robertson (@Dr_D_Robertson) January 7, 2021
I have marked a line on 21 September, when SAGE recommended a circuit breaker, so you can see how the situation has deteriorated since then. pic.twitter.com/SEEVgUVK4j
The Government then decided to change its strategy to 'preventing a second wave that overwhelms the NHS'. This was announced on 8 June in Parliament.
This is not the same as 'preventing a second wave'.
https://t.co/DPWiJbCKRm
The Academy of Medical Scientists published a report on 14 July 'Preparing for a Challenging Winter' commissioned by the Chief Scientific Adviser that set out what needed to be done in order to prevent a catastrophe over the winter
One thing civil servants learn is to write things down. Here is @acadmedsci's 14 July report commissioned by @uksciencechief. For the record.
— Dr Duncan Robertson (@Dr_D_Robertson) September 17, 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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Covering one of the most unique set ups: Extended moves & Reversal plays
Time for a 🧵 to learn the above from @iManasArora
What qualifies for an extended move?
30-40% move in just 5-6 days is one example of extended move
How Manas used this info to book
The stock exploded & went up as much as 63% from my price.
— Manas Arora (@iManasArora) June 22, 2020
Closed my position entirely today!#BroTip pic.twitter.com/CRbQh3kvMM
Post that the plight of the
What an extended (away from averages) move looks like!!
— Manas Arora (@iManasArora) June 24, 2020
If you don't learn to sell into strength, be ready to give away the majority of your gains.#GLENMARK pic.twitter.com/5DsRTUaGO2
Example 2: Booking profits when the stock is extended from 10WMA
10WMA =
#HIKAL
— Manas Arora (@iManasArora) July 2, 2021
Closed remaining at 560
Reason: It is 40+% from 10wma. Super extended
Total revenue: 11R * 0.25 (size) = 2.75% on portfolio
Trade closed pic.twitter.com/YDDvhz8swT
Another hack to identify extended move in a stock:
Too many green days!
Read
When you see 15 green weeks in a row, that's the end of the move. *Extended*
— Manas Arora (@iManasArora) August 26, 2019
Simple price action analysis.#Seamecltd https://t.co/gR9xzgeb9K