1/ Happy #SocialistSunday - and welcome to the weekly #SocialistSundayMegaList!

Please sign & widely share my petition for an emergency UBI and alleviate pandemic poverty. https://t.co/dilMlYxCCG

The following list is 100% randomised.

2/ If you're included but don't want to be, feel free to let me know - ideally by DM, because I'm much more likely to actually see that. This thread gets a lot of notifications!

(Stats as ever will follow the list of names)

Megalist commences:
3/ @HarmonyPartyUK
@EastBerksLabGND
@tallulahportsmo
@Tish1931
@jackie32859121
@NorthernLefty
@margellais
@Cumbria4Corbyn
@IceManTiti1
@MaxRobertFinch
@rickwookie
@iloireadas
@tinakalinen
@VeeBrien
@bbqshirt
@realhippohollow
@ageof_jess
@Jennyfurfuls
@BDT_Services
4/ @Greyfalcon6
@Soc_Sciences
@Hello_2022
@wepaidinupayout
@keithjames351
@Giacie
@Bliadhnaichean
@Walshicus1
@koffeelover41
@electikk
@JOHNSTA05030416
@Ed_Forest
@suzyseeitall
@LittleV33244419
@Rhubarb00
@EmbitteredThe
@hftaman
@mellors_karen
@sabuniray
@amk262
@GloryBS
5/ @AggieRyan
@steveniskra
@sev_kudu
@dominicwatts1
@teodora_hansen
@Ms_Nichola
@NeilJamesPeter1
@tiffanyjewel10
@allmodcons79
@ptomandpaul
@sturitchie2010
@kellsley
@nickystar911
@MMaureen01
@King4ADay_UK
@edwebb98843090
@DBFole13
@lorraine_teuten
6/ @aliwilkin
@vsorted
@goldfinchgirl
@CovidiusNaso
@doctort50
@100julian
@trottersltd
@MarianTilford
@Oberon_Octagon
@Kevinedwoods
@LeeroyWildman
@total2total
@GuileOTeen
@FightyWoman
@nurse_marcus
@brianplant4
@calvindenni
@Harrisoncpl
@c_eeb
@Rob81991542
@TravActivist
7/ @VikkiTh16913224
@AnneBarr2015
@patriciajw20
@hampsteadchap
@Slide_2The_Left
@Patrick43114459
@AnneLai31821380
@comradewhocares
@Phil_UltEd
@madeleinesteel
@Richard75074509
@CllrRobinAhmed
@ResilientRose
@MarkTBBFleming
@GrahamCole64
@Carolin10040488
@My_Pedagogics
8/ @ChefKissLeftist
@BekahPalmiero
@Philirving
@Christi64914989
@sexyweirdos
@lukebaln
@SimpliArt
@edwardpoole1975
@julievwillis
@KazRow1
@OpinionatedKrys
@BeckySnowden92
@AnneArchell
@CityInvestments
@tonyiathyer
@SageDylan11
@karenmartin1972
@Forthemanynott5
@WinstonFSmith84
9/ @karlymarxthedog
@incorbynsname
10/ #SocialistSundayMegaListStats:

Newcomers: 127
Total: 127
Mentions tweet tally: 6 tweets
Structural tweet tally: 4 tweets
Time taken: 45mins (mostly prep for next week's much bigger list tbh)

This thread will self-destruct in... 5 days.
11/ The req thread will go up at the same time I delete this thread. Next week more of my favourites will be included - my own personal list needs updating. Sorry if you didn't get included this time around & you usually do!

More from Government

Oh my Goodness!!!

I might have a panic attack due to excitement!!

Read this thread to the end...I just had an epiphany and my mind is blown. Actually, more than blown. More like OBLITERATED! This is the thing! This is the thing that will blow the entire thing out of the water!


Has this man been concealing his true identity?

Is this man a supposed 'dead' Seal Team Six soldier?

Witness protection to be kept safe until the right moment when all will be revealed?!

Who ELSE is alive that may have faked their death/gone into witness protection?


Were "golden tickets" inside the envelopes??


Are these "golden tickets" going to lead to their ultimate undoing?

Review crumbs on the board re: 'gold'.


#SEALTeam6 Trump re-tweeted this.
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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हिमालय पर्वत की एक बड़ी पवित्र गुफा थी।उस गुफा के निकट ही गंगा जी बहती थी।एक बार देवर्षि नारद विचरण करते हुए वहां आ पहुंचे।वह परम पवित्र गुफा नारद जी को अत्यंत सुहावनी लगी।वहां का मनोरम प्राकृतिक दृश्य,पर्वत,नदी और वन देख उनके हृदय में श्रीहरि विष्णु की भक्ति अत्यंत बलवती हो उठी।


और देवर्षि नारद वहीं बैठकर तपस्या में लीन हो गए।इन्द्र नारद की तपस्या से घबरा गए।उन्हें हमेशा की तरह अपना सिंहासन व स्वर्ग खोने का डर सताने लगा।इसलिए इन्द्र ने नारद की तपस्या भंग करने के लिए कामदेव को उनके पास भेज दिया।वहां पहुंच कामदेव ने अपनी माया से वसंतऋतु को उत्पन्न कर दिया।


पेड़ और पौधों पर रंग बिरंगे फूल खिल गए और कोयलें कूकने लगी,पक्षी चहकने लगे।शीतल,मंद,सुगंधित और सुहावनी हवा चलने लगी।रंभा आदि अप्सराएं नाचने लगीं ।किन्तु कामदेव की किसी भी माया का नारद पे कोई प्रभाव नहीं पड़ा।तब कामदेव को डर सताने लगा कि कहीं नारद क्रोध में आकर मुझे श्राप न देदें।

जैसे ही नारद ने अपनी आंखें खोली, उसी क्षण कामदेव ने उनसे क्षमा मांगी।नारद मुनि को तनिक भी क्रोध नहीं आया और उन्होने शीघ्र ही कामदेव को क्षमा कर दिया।कामदेव प्रसन्न होकर वहां से चले गए।कामदेव के चले जाने पर देवर्षि के मन में अहंकार आ गया कि मैने कामदेव को हरा दिया।

नारद फिर कैलाश जा पहुंचे और शिवजी को अपनी विजयगाथा सुनाई।शिव समझ गए कि नारद अहंकारी हो गए हैं और अगर ये बात विष्णु जी जान गए तो नारद के लिए अच्छा नहीं होगा।ये सोचकर शिवजी ने नारद को भगवन विष्णु को ये बात बताने के लीए मना किया। परंतु नारद जी को ये बात उचित नहीं लगी।