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Loyalty cards sharing app
(lemmy.world)
Privacy has become a very important issue in modern society, with companies and governments constantly abusing their power, more and more people are waking up to the importance of digital privacy.
In this community everyone is welcome to post links and discuss topics related to privacy.
[Matrix/Element]Dead
much thanks to @gary_host_laptop for the logo design :)
It would be nice, but the important part is to apply for a loyalty card with fake credentials. If you apply for a card with your real name and then let somebody else use it, that just makes stuff weird.
This isn't a bad idea, but the original poster's setup is much better for privacy. It would be similar to a VPN with shared IPs, so would obfuscate the individual users by lumping in the shopping habits with tons of other users making any profile built on that cards use unable to be tied to a specific person.
As I mentioned in another comment on this thread, even if you were to get a generic loyalty card with no info tied to it, or fake credentials, it will still be attributed to a single person/household where they build a solid marketing profile and may tie it to credit card or other revealing financial or tracking information that is unique to that user.
When you sing up for such a card, do they usually check it? I can image some stores checking your ID the first time.
May depend on where you live. Around here they don't.
And you can always say you forgot your ID.
Some do, some don't in my experience. They will still build a profile on whoever uses the card though. Then they just need to tie that to a real identity later. Are you paying with a card with your name on it? Whether they would invest any time putting the profile together this way or not is another matter. But they could.
It's like the data anonymization claims from big tech. Many claim the data they collect is all anonymized, but lots of researchers and studies have shown how easy it is to deanonymize the data and build strong profiles on individual users from anonymized data.