Vajpayee government appointed Harish Salve (whom you all know).
During the time of Shri Atal Bihari Vajpayee's government, a famous company, Enron, planned to install a factory in Dabhol, Maharashtra.
But, it could not happen, due to the resistance of the locals.
Vajpayee government appointed Harish Salve (whom you all know).
But you will be shocked to know that, Enron's lawyer became P.Chidambaram i.e. P. Chidambaram went against India.
Time went on.
Next disclosure is stunning.
Chidambaram immediately removed Harish Salve from Enron case.
Now think how much fees would have been charged to fight a case of 38000/- crore
And one more funny thing.. The companies that invested in Enron and filed this project only invested
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Canada is failing to act on Climate Change. @wef @WorldBank @IMFNews @IPCC_CH @UNDPGAIN @AntiCorruptIntl @Pontifex @JustinWelby @OCCRP @StopCorpAbuse @TaxJusticeNet @FairTaxCanada @ecojustice_ca @WCELaw @CanEnvLawAssn @envirodefence @IBA_Canada #cdnpoli
Covid recovery money is going to the oligarchy.
Ottawa and the provinces have put very little on the table to help clean-tech companies directly during Covid 19 while targeting fossil-fuel producers with more than $16 billion in aid.
Coast to coast people have demanded treaties be honored. We demanded climate action, divestment and land back but Canada is not listening. This video shows 10 years of rallies in Waterloo Ontario. City & regional council declared a climate emergency. 🚨
The Bank of China (BOC), SNC-Lavalin and WE Charity were recipients of taxpayer-funded the Covid 19 Canadian Emergency Wage Subsidy (CEWS)
Canada: Falling Far Short On Climate Policy, Emissions Reduction and Energy Transition #cdnpoli #bcpoli #alpolitics #onpoli @JimHarris @MikeHudema @SethDKlein @ElizabethMay @CitizensLobbyCa @lulex @kainagata https://t.co/jhm1TXvAKN pic.twitter.com/yEPINC5PTr
— Below2\xb0C (@Below2C_) December 29, 2020
Covid recovery money is going to the oligarchy.
Ottawa and the provinces have put very little on the table to help clean-tech companies directly during Covid 19 while targeting fossil-fuel producers with more than $16 billion in aid.
Coast to coast people have demanded treaties be honored. We demanded climate action, divestment and land back but Canada is not listening. This video shows 10 years of rallies in Waterloo Ontario. City & regional council declared a climate emergency. 🚨
The Bank of China (BOC), SNC-Lavalin and WE Charity were recipients of taxpayer-funded the Covid 19 Canadian Emergency Wage Subsidy (CEWS)
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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Week 1 highlights: getting shortlisted for YC W2019🤞, acquiring a premium domain💰, meeting Substack's @hamishmckenzie and Stripe CEO @patrickc 🤩
2/ So what is Brew?
brew / bru : / to make (beer, coffee etc.) / verb: begin to develop 🌱
A place for you to enjoy premium content while supporting your favorite creators. Sort of like a ‘Consumer-facing Patreon’ cc @jackconte
(we’re still working on the pitch)
3/ So, why be so transparent? Two words: launch strategy.
jk 😅 a) I loooove doing something consistently for a long period of time b) limited downside and infinite upside (feedback, accountability, reach).
cc @altimor, @pmarca
4/ https://t.co/GOQJ7LjQ2t domain 🍻
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Week 1 highlights: getting shortlisted for YC W2019🤞, acquiring a premium domain💰, meeting Substack's @hamishmckenzie and Stripe CEO @patrickc 🤩
2/ So what is Brew?
brew / bru : / to make (beer, coffee etc.) / verb: begin to develop 🌱
A place for you to enjoy premium content while supporting your favorite creators. Sort of like a ‘Consumer-facing Patreon’ cc @jackconte
(we’re still working on the pitch)
3/ So, why be so transparent? Two words: launch strategy.
jk 😅 a) I loooove doing something consistently for a long period of time b) limited downside and infinite upside (feedback, accountability, reach).
cc @altimor, @pmarca
4/ https://t.co/GOQJ7LjQ2t domain 🍻
It started with a cold email. Guess what? He was using BuyMeACoffee on his blog, and was excited to hear about what we're building next. Within 2w, we signed the deal at @Escrowcom's SF office. You’re a pleasure to work with @MichaelCyger!
5/ @ycombinator's invite for the in-person interview arrived that evening. Quite a day!
Thanks @patio11 for the thoughtful feedback on our YC application, and @gabhubert for your directions on positioning the product — set the tone for our pitch!