Let’s talk about CO Rep. Lauren Boebert and her part in the January 6th coup attempt. Newly elected, she has gained notoriety by declaring she will be wearing her loaded Glock around DC. She has professed loyalty to Trump.

Lauren Boebert’s former campaign manager was Sherronna Bishop, a right-wing activist with ties to Proud Boys, III Percenters, Bikers for Trump, etc.
Boebert has always been vocal about her affiliations...
... and has used those affiliations in her campaign.
Finally she gained a personal audience with Trump.
After her meeting with Trump, Boebert announced her intention to object to Biden’s win and began posting about how much she was looking forward to January 6th.
January 1st began a sort of countdown for Boebert, who was rallying support with every post.
On January 2nd she was posting that Trump had contacted her again.
On January 5th, Boebert posted that the 6th was going to be the most important day in history.
Boebert began the 6th of January posting “today is 1776”.

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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.