THREAD: Almost a year into the launch of Aarogya Setu, there is still little to no public data on its benefits. Yet, many of its flaws are well documented. Now it's going to be used for vaccine rollouts despite meager progress in public

Experts have been warning us about Aarogya Setu's capacity for surveillance. Post integration with COWIN, it will likely become a permanent part of our health data landscape. We've written to the NIC with key concerns, because here's what we've learnt in 1 year:
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To justify violation of privacy, necessity and proportionality have to be proven. Aarogya Setu has disregarded these principles - we know because we analysed its Data Protocol, which MeitY released after public pressure. It fails to satisfy the basic threshold of legality.
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A lack of transparency has pervaded the ecosystem. RTIs on Aarogya Setu failed to receive adequate answers. In fact, we had to send a legal notice because CIC refused to let RTI activist Saurav Das attend his own show cause hearing regarding critical info about Aarogya Setu.
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Issues have been raised about the non open-source nature of the app. Even when the source code was released, it was the code for an earlier version of the app that was made available. The server-side code of the app was not available at all.
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With 11.2 million COVID-19 cases, Aarogya Setu has NOT contained the pandemic. Its below average accuracy, inadequate tech, and persistent security vulnerabilities have been ignored despite pleas from experts. The Centre itself apologised for opaque, irresponsible behaviour.
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Our Qs to NIC include: Will govt phase out Arogya Setu? Will data of inactive users or those who requested deletion of demographic details be deleted? Are contact, location, and self-assessment data bundled? Has there been an audit?

We'll keep you updated on our findings.
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A long thread on how an obsessive & violent antisemite & Holocaust denier has been embraced by the international “community of the good.”

Sarah Wilkinson has a history of Holocaust denial & anti-Jewish hatred dating back (in documented examples) to around 2015.


She is a self-proclaimed British activist for “Palestinian rights” but is more accurately a far Left neo-Nazi. Her son shares the same characteristics of violence, racism & Holocaust denial.

I first documented Sarah Wilkinson’s Holocaust denial back in July 2016. I believe I was the 1st person to do so.

Since then she has produced a long trail of written hate and abuse. See here for a good summary.


Wilkinson has recently been publicly celebrated by @XRebellionUK over her latest violent action against a Jewish owned business. Despite many people calling XR’s attention to her history, XR have chosen to remain in alliance with this neo-Nazi.

Former Labour Shadow Chancellor John McDonnell MP is among those who also chose to stand with Wilkinson via a tweet.

But McDonnell is not alone.

Neo-Nazi Sarah Wilkinson is supported and encouraged by thousands of those on the Left who consider themselves “anti-racists”.
global health policy in 2020 has centered around NPI's (non-pharmaceutical interventions) like distancing, masks, school closures

these have been sold as a way to stop infection as though this were science.

this was never true and that fact was known and knowable.

let's look.


above is the plot of social restriction and NPI vs total death per million. there is 0 R2. this means that the variables play no role in explaining one another.

we can see this same relationship between NPI and all cause deaths.

this is devastating to the case for NPI.


clearly, correlation is not proof of causality, but a total lack of correlation IS proof that there was no material causality.

barring massive and implausible coincidence, it's essentially impossible to cause something and not correlate to it, especially 51 times.

this would seem to pose some very serious questions for those claiming that lockdowns work, those basing policy upon them, and those claiming this is the side of science.

there is no science here nor any data. this is the febrile imaginings of discredited modelers.

this has been clear and obvious from all over the world since the beginning and had been proven so clearly by may that it's hard to imagine anyone who is actually conversant with the data still believing in these responses.

everyone got the same R

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