JackAttack

This was the majority of my experience as well. As a newer programmer, I'm more than happy to always know a better option. But if the way I'm looking to solve my problem is wrong, don't just give me Y, explain to me why it may not work how I think it will. Tell me about X and some pitfalls or reasoning for it not going to work, then recommend Y. Because if others only see the Y answer to my question about X, they'll probably just keep searching for a solution to X not knowing it may not work like I didn't know.

Regardless of current politics, this is great advice anyways for a lot of people. These alternatives are very user friendly now a days, including many Linux distros. They will do almost if not all what a user needs. Few exceptions.

I recently bought a Garmin to get rid of a $30 Whoop subscription and to get better battery than a smart watch with a Fitbit subscription. Garmin seems to give me everything I needed that the whoop does for only the cost of the watch.

It does mention all health data will be free still so for the time being I'm not opposed to them locking AI behind a paywall. I understand AI cost resources and is expemsive. I however, will not be using that shit. I think the default health insights are plenty for what i do. Granted I'm not a full on athlete like some Garmin users.

As long as they don't lock what's available now beyond a paywall I'm okay with this. But overall, I'm sick and tired of subscriptions in general.

So from what I understand, theres 2 common ways that browsers combat this. Someone add to or correct me if I'm wrong.

1. Browsers such as Mull combat this by looking the same as every other browser. If you all look the same, it's hard to tell you apart. I believe this is why people recommend using default window size when using Tor.

Ex: Everyone wearing black pants and hoodies with the facemasks. Extremely hard to tell who is who.

2. Browsers such as Brave randomize metadata that fingerprinting collects so that it's more difficult to piece it all together and build a trend/profile on someone.

Ex: look like a dog in one place, a cat in another place. They get data for a dog but that doesn't help build anything if the rest of the data is a cat, hamster, whatever. No way to piece it together to be useful.

In both my examples, there are caveats. Just because everyone dressed the same doesn't mean someone isn't taller or shorter, or skinnier or fatter. There can still be tells to help narrow down. Or a cat that barks like a dog suddenly is more linkable to a dog if that makes sense lol.

In other words it still depends user behavior that can contribute to the effectiveness of these tools.

EDIT: got distracted. To answer your question I don't think so. I think it's more about user behavior blending in or being randomized. I think the only thing an extension would be able to do is possibly randomize the data but I'm unsure of such an extension yet. These aren't the only options, these are just ones I've read about recently. Online behavior, browswr window size, and I'm sure so much more also goes into it. But every little bit helps and is better than nothing.

EDIT2: Added examples for each for clarity.