No, a clean browser and IP with the combination of what fonts I have installed, how my video card renders a canvas and WebGL instance (which may be affected not just by the video card you have, but the driver version used with it), my screen size, and a few other system level items that come through may or may or may not be enough to uniquely identify you. Along with linking to a prior profile if you screw up one time (or load a URL that has identifying information they can use), and you're busted.

So, sure, a clean browser and IP and never logging into a site you're previously visiting might be enough, but who does that, and doesn't that halfway defeat the purpose?

You gotta compartmentalize.

My meatspace identity uses a desktop that hits the Internet directly. It displays no interest in technical matters. Just banking, cards, shopping, general news, etc. It never accesses HN, or any of the other sites that Mirimir uses. Or that any of my other personas use.

Mirimir uses a VM, on a different host machine, and hits the Internet through three VPNs, in a nested chain. Some other personas use different VMs on the same host, connecting through different nested VPN chains. Some are Whonix instances, connecting via Tor, and reaching Tor through nested VPN chains.

So basically, each persona that I want isolated uses a different host machine and/or VM, a different browser, and a different IP address.

I appreciate the information-theoretic validity of your argument, but if you think that one of these firms cares enough about your buying preferences to burn enough compute to find that correlation then you either work for the CIA or are mistaken.

It doesn't take a lot of compute resources to have multiple profiles, and when evidence of a high assurance level (a referring URL that is known to designate a specific user of a major service) to link it with other profiles that also have that designation.

To me, that seems par for the course for any service that's generating profiles of browsing behavior and trying to make any sort of decisions based on it. It reduces cruft and duplicate profiles while also providing more accurate information. Why wouldn't it be done?

> the information-theoretic validity of your argument

The portion about canvas, WebGL and AudtioContext hashing is not theory at all, it's well known practice from years ago. Jest the other day here there was a story about some advertiser on Stack Overflow trying to use the audio hashing to tracking purposes.

Hell, if you get enough identifiable bits of entropy, you can probably assume weak to strong level matching using a bit-level Levenshtein distance that's low enough.

GitHub is always at your disposal. NV doesn’t sell the consumer cards to enterprises. So on AWS a multi-GPU box will cost you about 12 dollars an hour. If you can disambiguate, let’s just say 85% of profiles absent IP or cookies, well I think you just broke the academic SOTA and I’d love to make some calls.

Cheat sheet: you can’t.

I sorta understand the sentiment where there are tools like :

https://amiunique.org/ https://browserprint.info/

whose results would have you believe that one's footprint is very unique. I'd be interested in hearing more about why this is hard to implement into an efficient process.

> GitHub is always at your disposal. NV doesn’t sell the consumer cards to enterprises. So on AWS a multi-GPU box will cost you about 12 dollars an hour.

I don’t see how this is related to the claim, since it doesn’t solve the problem. But the advertising company that I let run code on my website will certainly do the job pretty well, I’d say.

I was pointing out that it’s a commercially applicable of a very strongly worded claim that I know would be expensive to test because I’m optimizing GPU intensive code at the moment. I don’t know where in this thread I generated so much ill will for trying to add knowledge to the conversation, but I’m not making shit up.

There are tools that will supposedly do this to a high degree of accuracy. Are you saying that they are fake/don't work as well as they'd want us to believe?

not much effort goes into de-duping customers? genuinely curious

I would've thought that would be a pretty useful exercise