In all seriousness, though, yes and guaranteeing that the manufacturing process itself can “bake” in the randomness is a super interesting area of research. It’s like 99% of the manufacturing process is an exercise in reducing variability, and then there’s PUFs, where you’re basically trying to maximize variability, but in such a way that you maintain computational precision.
To my thinking, what is more important is that you don’t fool yourself about the amount of entropy from one source, or among sources. Two entropy sources that are dependent variables may be good separately but not together. Like the timings of keystrokes and network packets may be affected by the scheduler, or the fact that you are typing into a remote editor session which is bouncing ACKs back, or auto saving every time you hit enter or change focus.
It is crucial to inform the user of this, as software has.
"Generating random numbers, please move your mouse around randomly" is suitable for literally all use cases.