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.

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.

Cheat sheet: you can’t.

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.

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 would've thought that would be a pretty useful exercise