In 1993, The World Economic Forum created the Young Leaders program. The aim of this program was to identify & promote future global leaders.

It's amazing how this program reads like "who's who" for the biggest supporters of the Covid pandemic. Let's take a look and see:

Jeff Zients - White House Covid Coordinator
Stephane Bencel - Moderna CEO
Jeremy Howard - Masks for All Lobby Group
Lenna Wen - CNN Covid Analyst
Eric Feigl Ding - Twitter Zealot
Devi Sridhar - Zero Covid Professor
Gavin Newsom
Jacinda Ardern
Emmanuel Macron
Angela Merkel
What are the chances it's a coincidence that the Globalist WEF had selected these "leaders" who parrot, support and implement the exact protocols the WEF needed to ensure their "Great Reset"? Absolutely zero.

Read the entire article here: https://t.co/vDDpqdJnBv

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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.