I’m following several privacy focused communities. Mostly as lurker but in few I’m more active. Every time I see a posts like “how to be more private”, I wonder about the reasons behind those questions. What’s the reason you want to remain private (don’t confuse it with being anonymous)? Could you elaborate on your reasons?

Let me start.

I worked (and still working) in a highly regulated industry as a software/devops engineer. I’ve been working with banks, insurance companies, global online payment companies, major credit card vendors, few global corporations. I have seen how data is gathered and (mis)used. Every time someone tells me “I’m sorry but the system…” I know it’s the data gathered by the “system” and my profile created based on that data was the reason for “but”. This is why I care about the privacy, to prevent companies from taking advantage of my current situation and charge me more.

  • @[email protected]
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    fedilink
    313 days ago

    It’s curious that you claim privacy and anonymity are clearly differentiable but didn’t bother to define either of them. Is your claim accurate? We have no idea, because we don’t know what you’re talking about.

    George Orwell, Philip K. Dick, and Corey Doctorow already covered the basics, and two of those authors did so decades ago. Why are you asking this question now? What is it that you want to hear that they didn’t already say? Or are you asking us whether we’ve read those authors?

    • @fart_pickleOP
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      413 days ago

      Privacy means that no one can see your data, and only you can decide who can see it. Anonymity means that everyone can see your data but no one can match you with the data.

      As for the question, yes, I would more than happy when people could understand the risk of giving up the privacy. But I’m afraid that not many people would understand the message carried by those books.

      • @LordCrom
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        213 days ago

        Anonymity is impossible with enough data to put together a profile.

        • @whotookkarl
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          012 days ago

          This assumes all of the data fed into the model is accurate and not including noise like misinformation