KANIPAKAM VINAYAKA, CHITOOR (AP)
#bharatmandir

Kani means wetland and Pakam means flow of water into wetland.
Kanipakam Vinayaka is swayambhu (self-manifested). The murti is in a well which is always full of water.

Once, there were three brothers. Each one had a handicap- Dumb, Deaf and Blind. They had a small piece of land for livelihood. For their field, they drew water from a well. One day, they found that the well had dried up so one of them started digging in the well.
His tool hit something and blood oozed out. They found a swayambhu murti of Ganesha here.
Villagers started offering coconut water which overflew into a channel. Hence the name Kanipakam.
The murti is still growing in size. At present, we see the knees and the abdomen only. The Kavacham (Armour) offered to Vinayaka 50 years ago doesn’t fit today.
Vinayaka is believed to be the upholder of truth. So people come here and swear before him to prove their innocence.

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... other sources who have been trying to shine on light on this grifter (as I have tried to do, time and again:


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19 to 80 is an over 300% difference.

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Example #3 - "I'm only looking at what makes the data fit in my favour" a.k.a moving the goalposts.

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Recently, the @CNIL issued a decision regarding the GDPR compliance of an unknown French adtech company named "Vectaury". It may seem like small fry, but the decision has potential wide-ranging impacts for Google, the IAB framework, and today's adtech. It's thread time! 👇

It's all in French, but if you're up for it you can read:
• Their blog post (lacks the most interesting details):
https://t.co/PHkDcOT1hy
• Their high-level legal decision: https://t.co/hwpiEvjodt
• The full notification: https://t.co/QQB7rfynha

I've read it so you needn't!

Vectaury was collecting geolocation data in order to create profiles (eg. people who often go to this or that type of shop) so as to power ad targeting. They operate through embedded SDKs and ad bidding, making them invisible to users.

The @CNIL notes that profiling based off of geolocation presents particular risks since it reveals people's movements and habits. As risky, the processing requires consent — this will be the heart of their assessment.

Interesting point: they justify the decision in part because of how many people COULD be targeted in this way (rather than how many have — though they note that too). Because it's on a phone, and many have phones, it is considered large-scale processing no matter what.