this post was submitted on 20 Jul 2023
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This comment needs to be further up rather than the idiotic takes that don’t understand the difference between anonymized data collection (Apple) vs identifiable data collection (Meta/Google/most other tech).
Well, then there's also the people that don't realize that there are all sorts of programs out there that will try to take that "anonymized" data and then tie it right back to a persons profile.
For example, you can anonymize GPS location data, but just because you strip away identifying information doesn't mean that you're truly anonymous. It can still be obvious where you live and where you work. And once you figure out where they live (again based on anonymous data) you can tie that information right back into their profile and continue to track them as if nothing has changed. https://www.popularmechanics.com/technology/security/a15927450/identify-individual-users-with-stravas-heatmap/
That won’t work on Apples data - they group all the data into cohorts, so the anonymising isn’t reversible.
Not all anonymization techniques are created equal? I’m pretty sure this is fairly obvious at this point to anybody remotely familiar with how data collection works when it comes to privacy and device metrics.
So, how is this relevant to this conversation besides adding more FUD and misinformation?