I don't use Facebook myself for a few years already, which is paradoxical as they were headhunting me recently to lead one of their ML teams and didn't mind that I quit them long time ago :D But maybe they were just harvesting my own "outlier" training dataset - who knows if I was filmed while onsite and now my gait is analyzed to smallest details including reconstructed skeleton and muscle attachments, my appearance is predicted for the next 30 years under various aging assumptions, maybe later used to fabricate realistically faked video etc. These things are now possible and not that difficult anymore.

if other people still upload pictures of you to Facebook it's the same thing

I won last week then.

Pro tip: if you try to delete your account and your password isn't recognized, re-enter it all lower-case. (Smooth one, FB.)

You won't do it alone, but if most of your friends start doing that, either you mess up their training dataset by introducing a lot of noise, or you all will get flagged as outliers. Both situations are win comparing to learned helplessness one might fall into when realizing the ways how this data can be misused.

That still sounds like win. If it gets momentum, they won't be able to recognize any new additions due to them being not trusted. Physique changes significantly roughly every 10 years as well, so if all they have are outdated photos... OK, Deep Reinforcement Learning might be used on reconstructed 3D models from younger photos to simulate aging process, but it might not be very accurate even if looking very realistic.

Similarly to "suggested edits" for pages/businesses. You have an accuracy score as an editor based on how many of your suggested edits get accepted/approved.

I'd be willing to bet my hat that they have a similar scoring for approving suggested tags - don't click them/ignore them complete for a few days and you'll probably start seeing that suggesting a lot less.