๐Ÿ’ฅ๐Ÿ‡ธ๐Ÿ‡ชThe Sweden โ€œProblemโ€ SOLVED!๐Ÿ‡ธ๐Ÿ‡ช๐Ÿ’ฅ

Or, how does a biased world rid itself of the best example of a non-lockdown control for its horrible lockdown experiment?

Simple! CHANGE THE DATA.

Of course we all know Sweden has been a battleground regarding its mild voluntary lockdown strategy versus the heavy lockdowns of most of the EU. Inconvenient graphs like this one are quite a thorn in Team Lockdownโ€™s side. Sweden fewer deaths/M, much better quality of life.
When I did some analysis in the Spring and Fall, I looked at Oxfordโ€™s stringency index as a proxy for lockdown severity. And sure enough Sweden was significantly lower stringency than all other EU countries.
Here is a plot tracking stringency for the UK, Finland Norway and Sweden. I added Norway and Finland because Team Lockdown loves to reply to Sweden threads with โ€œbut Norway but Finlandโ€! When I plotted this in October we see Swedenโ€™s Spring stringency was comparatively low.
But then I just happened to plot this again yesterday. What the heck? Sweden is no longer a mild-response country! It is only slightly less stringent than the UK! And the โ€œbut Norway Finlandโ€ argument is now moot! Look how much less stringent theyโ€™ve been!
So apparently the whole โ€œSweden didnโ€™t lockdownโ€ thing is just a myth? Here is the comparison between Oxfordโ€™s assessment of Swedenโ€™s lockdown in October vs Now. Almost a 50% increase in stringency?! I am certain Swedes would be baffled by this.
So then I thought I should look at other countries. Was their data revised significantly between Fall and Feb? Nope. Small revisions yes. Not huge revisions that change the entire thesis. ๐Ÿค”
What about the cumulative stringency compare- how does it change? Well now Sweden is above a few countries and on par with several more.
So I of course had to contact Oxford OxCGRT Data Team and ask if this was all just a big mistake. Nope.

They had โ€œseveral lengthy discussionsโ€ and decided to โ€œupdateโ€the data. How do recent unenforceable decrees by the PM affect data from last Spring I replied?
So there you have it. Down the memory hole goes Swedenโ€™s non-lockdown control experiment. Now it was much like all other EU countries.

Makes their similar results much easier to explain for Team Lockdown! โ€œSee, Sweden really did lockdown! Oxford says so! Ignore the Swedes!โ€
Inconveniently however, Team Lockdownโ€™s favorite compares โ€œbut Norway and but Finlandโ€ now show similar/milder lockdowns than Sweden with far better results. Which would point out that lockdowns had little influence over deaths/M. Hence why lock down?
So yes folks the fix is in. Donโ€™t like what the control is telling you about your terrible experiment? Fudge the control data. If there is no control itโ€™s much easier to make unverifiable assertions. This is all most convenient for the UK. Where is Oxford located again?
@MLevitt_NP2013
@NickHudsonCT
@FatEmperor
@HaroldofWorld
@jhnhellstrom

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This is NONSENSE. The people who take photos with their books on instagram are known to be voracious readers who graciously take time to review books and recommend them to their followers. Part of their medium is to take elaborate, beautiful photos of books. Die mad, Guardian.


THEY DO READ THEM, YOU JUDGY, RACOON-PICKED TRASH BIN


If you come for Bookstagram, i will fight you.

In appreciation, here are some of my favourite bookstagrams of my books: (photos by lit_nerd37, mybookacademy, bookswrotemystory, and scorpio_books)
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Simple and effective way 2 make Money


Idea 1:- Use pivot level like 14800 in case of nifty and sell 14800straddle monthly expiry (365+335) exit if nifty closes on daily basis below S1 or above R1

After closing below S1 if it closes above S1 next day or any day enter the same position again vice versa for R1

Idea2:- Use R1 and S1 corresponding strikes multiple
Incase of R1 15337 take 15300ce
N in case of S1 14221 use 14200pe
Sell both and hold till expiry or exit if nifty closes below S1 or above R1 around closing
If the same bounces above S1 and falls below R1 re-enfer same strikes

Use same criteria for nifty, usdinr and banknifty

(This is must)Use this margin rule for 1lot banknifty pair keep 4Lax margin
For nifty one lot keep 3Lax
For usdinr 100lots keep 4Lax

I bet you if you do this on consistent basis your ROI will be more than 70% on yearly basis.

Couldn't explain easier than this

Criticisms are most welcomed.