Fingerprinting isn’t always possible to defeat, and its not always possible to avoid making accounts (work and school accounts)
However, it should be possible to fill up tracked data with meaningless garbage and reduce the signal-to-noise ratio. Ex: a bot that browses random products on amazon to reduce profiling accuracy.
Do you guys know of any tools that do this? Anything from browser extensions to command line scripts, to anonymous group-accounts.
Except for shared unique similarities. Fingerprinting designers know “not all data is good data” and will then filter out bad data and use hard to change charateristics, like hardware or software similarities, which can enable cross-browser fingerprinting.
What is a “shared unique similarity”? Sounds a lot like something that isn’t unique to me…
Unique to you, shared between your different browsers.