> They tend to attempt to do this anonymized. How successful they are in anonymizing that is very much so up for debate.
Yeah I think the big thing to push or talk about is that there is no such thing as "anonymized".
There's only such as a thing as "can only be identified as X many people". Like for a given dataset you can make any data point correlated to 1 of say 50 people. If somebody is anonymizing data and they don't provide a k-anonmizity [1] you should just assume it's 1:1 and effectively not anonmized.
K-Anonymity isn't the only technique. Differential Privacy is arguably more robust.