generalpotato @ generalpotato @lemmy.world

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2

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276

Joined

2 yr. ago

Ouch… sorry to hear that. Reddit has definitely gotten Facebook level of scummy. I tried deleted my account 2x, only for those assholes to restore it. Now if only perma bans could make an account and all it’s content to disappear from the site, haha. I was at 9yrs in terms of account age.

As much as I hate Nintendo, I fucking hate them for their stance on emulation. You would think they would have the sense to preserve their heritage outside of their own platforms since they do such an absolute dog shit of a job of providing access to the library and catalogue of games. Either make your games available (as widely as they are via emulation) or move the fuck outta the way.

Edit: I meant to say “as much as I love them”, but going to leave my double hate up there because of how idiotic their decision is to crack down on emulation.

The best part about Lemmy/Kbin etc now are that downvotes aren’t hidden, rightfully so. Just because a set of people don’t agree with you doesn’t mean you shouldn’t have the same visibility as somebody that is more agreeable to a set of people.

Niceness… will change and evolve over time as more and more people join. :-)

I realize what you’re doing, but I’m questioning why are you viewing events from the lens of classical ideologies? How is that relevant to viewing whether a policy was beneficial terms of actual progress or not? It’s actually hurting your opinion and outlook since you’re now attributing terms that have a different meaning in contemporary discussion and discourse as opposed to it’s classical definition.

My whole point is that you can’t trust that it’s impossible to de-anonymize data simply because some organization removes all of what they believe to be identifying data.

GPS data is a fairly obvious one which is why I brought it up. Just because you remove all identifying info about a GPS trace doesn’t stop someone (or some program) from re-attributing that data based on the start/stop locations of those tracks.

Looking at all the links you’ve posted… so there’s been cases and studies stating that data can re-identified, but do we have insight into what exact data sets they were looking it at? I tried looking at the Nature study but it doesn’t say how they got the data and what exact vectors they were looking at outside of mention of 15 some parameters such as zip code, address etc. Data pipelines and implementation of metrics vary vastly, per implementation, I’m curious to see where the data set came from, what the use case was for collection, the company behind it, the engineering chops it has etc.

If from a data collection standpoint you’re collecting “zip code” and “address”, you’ve already failed to adhere to good privacy practices, which is what I’m arguing in Apple’s case. You could easily salt and hash a str to obfuscate it, why is it not being done? Data handling isn’t any different than a typical technical problem. There’s risks and benefits associated to an implementation, the question is how well you do it and what are you doing to ensure privacy. The devil is in the detail. Collecting “zip code” and “address” isn’t good practice, so no wonder data become re-identifiable.

https://youtu.be/8JxvH80Rrcw https://www.engadget.com/apple-phone-usage-data-not-anonymous-researchers-185334975.html https://gizmodo.com/apple-iphone-privacy-settings-third-lawsuit-1850000531

More FUD. Why aren’t they testing iOS 16? Ok, sure, it’s sending device analytics back… but it could just be a bug? The YT video is showing typical metrics, this isn’t any different to literally any metrics call an embedded device makes. A good comparison would be an Android phone’s metrics call and comparison to it side by side. I’m sorry, I refuse to take seriously a video that says “App Store is watching you” and tries my skews my opinion prior to showing my the data. The data should speak for itself. I see the DSID bit in the Gizmodo article, but that’s a long shot, without any explanation of how to the data is identifiable specifically.

Lastly,

As for your TechRadar link to Apple’s use of E2EE, that’s great, I’m glad they are using E2EE, but that’s not really relevant to our discussion about anonymizing data and risks running afoul of the #3 point you made for why you are frustrated with the majority of users in this post.

Privacy is fundamental to designing a data pipeline that doesn’t collect “zip code” in plain str if you want to data to be anonymized at any level. So it is absolutely relevant. :-)

Edit: To clarify, if it wasn’t clear, relying on just data anonymization and collecting everything under the sun isn’t a good way to design a data pipeline that allows for metrics collection. The goal should always be collecting as little as possible, then using masking, anonymization and other techniques to obfuscate it all. No solution is perfect, but that doesn’t there aren’t shitty ways of implementing things leading to the fiascos you see on the web.

Just because it was watered down by the republicans doesn’t make it not “progressive”. It was “progressive” compared to the other option, which was literally not having any sort of health care coverage/insurance. Things are never that binary.

Remember Obama started with Universal Health care at some point and we ended up with ACA, which is still a win.

:-) Thanks for the detailed response. Let me take a look and get back to you.

Thanks for the “advice”. Now, let me expand on my position.

The reason why I’m slightly annoyed but everyone’s take here is:

1. The demeanor that folks here have in passing on ill informed opinion as fact and then speculating details.
2. Not looking at the actual privacy policy of a company and the history of how said company has been involved in data collection, privacy, implementation of features in that realm and their handling of customer data.
3. Bringing up random points just to win an argument instead of conceding that they do not what they are talking about.

Here’s a few links to put things in perspective as to what and how Apple anonymizes data and how seriously it takes privacy:

https://www.apple.com/privacy/docs/Differential_Privacy_Overview.pdf

https://www.apple.com/privacy/labels/

https://www.apple.com/privacy/control/

Read through those, look at Apple’s implementation of TouchID, FaceID and their stance on E2E encryption and tell me again why Apple isn’t serious about privacy, masking and anonymizing data, implementing differential privacy and informing users of what they collect and how users can opt-out of it.

Edit- Further evidence and reading:

https://www.techradar.com/news/fbi-says-apples-new-encryption-launch-is-deeply-concerning

https://www.digitaltrends.com/mobile/apple-data-collection/

https://www.apple.com/privacy/docs/A_Day_in_the_Life_of_Your_Data.pdf

Approved.

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?

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).

I’ll need a source on this claim.

Right. Let me kick you out of your house that you’ve had for generations because I can “claim” the land as mine as my ancestors resided there a thousand years ago. This is the dumbest argument to justify ethnic cleansing. Stop trying to pass this revisionist idiocy off as “education”.

Happened to me as well. Twice. It’s infuriating tbh.

I’m partying my d

They can’t have the university expense a $300 Android device + a vpn to access TikTok? This solves, not having to use a government issued device that access government’s resources and networks, and being protected by using a vpn to create an onion route and preventing potential phone home.

If they cannot work around this, then I legitimately question the quality of “research” they would be conducting here.

Schroedinger’s API call.

As an authority on this matter, the right amount of time is 30 mins.

I guess they were just tired and needed to recharge.

Oof.. hopefully F2P fixes that.