CCP EXPERT:WE CAN'T FIX TRUMP VIA WALL STREET,BUT WITH BIDEN...FOR THE PAST 30-40 YEARS, WE HAVE BEEN UTILIZING THE CORE POWER OF THE USA...THERE ARE A LOT OF DEALS.

"We know that the Trump administration is in a trade war with us,so why can't we fix the Trump administration? 1/

Why did China and the U.S. use to be able to settle all kinds of issues between 1992 and 2016? [...] What is the reason? I'm going to throw out something maybe a little bit explosive here. It's just because we have people at the top. We have our old friends who are at the top 2/
of America's core inner circle of power & influence...to put it bluntly, for the past 30 years, 40 years, we have been utilizing the core power of the United States.

[...] since the 1970s, Wall Street had a very strong influence on the domestic and foreign affairs of the 3/
United States. So we had a channel to rely on. But the problem is that after 2008, the status of Wall Street has declined, and more importantly, after 2016, Wall Street can’t fix Trump. It's very awkward. Why? Trump had a previous soft default issue with Wall Street, so 4/
there was a conflict between them, but I won't go into details, I may not have enough time.

So during the US-China trade war, they (Wall Street) tried to help, and I know that my friends on the US side told me that they tried to help, but they couldn't do much. 5/
But now we're seeing Biden was elected, the traditional elite, the political elite, the establishment, they're very close to Wall Street, so you see that, right?

Trump has been saying that Biden's son has some sort of global foundation. Have you noticed that? 6/
Who helped him (Biden's son) build the foundations? Got it? There are a lot of deals inside all these.

We know that in the '80s the Northeast (of China) was booming. Why? The Northeast is the root of the entire Chinese economy...China joined the U.S.-dominated world economy, 7/
especially on a large scale in 1992, and after 1992 we attracted investment on a large scale, so the Southeast coast developed rapidly and the Northeast declined [...]

In the post-financial crisis era, in the past 12 years, who are the companies whose stock prices 8/
and asset prices have risen the most? They are Alibaba, the "three Ma"(Jack Ma, MaHuateng, Ma mingzhe). The "three-Ma" led the way, followed by some other digital companies, they made a lot of money from the Chinese market. They have a lot of bargaining power, a lot of 9/
capital appreciation...Where does the capital appreciation that results from that part of the economic reform take place? Nasdaq. That's the previous way we were originally coupled with the United States. So the U.S. said they want to decouple with China now [...] 10/

---
Translation of the speech by Di Dongsheng, Vice Dean of the School of International Relations, Renmin University of China, Vice Director and Secretary of the Center for Foreign Strategic Studies of China on Nov. 28, in Shanghai, China. 11/

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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.