I think this is a pretty good post that makes a point some people should understand better. There is, however, something I think it could’ve done better. It chooses a certain gaussian and log-normal distribution for quality and error, and the way that’s written sort of implies that those are natural and inevitable choices.
I would have preferred something like:
Suppose we determine that quality has distribution X and error has distribution Y. Here’s a graph of those superimposed. We can see that Y has more of a fat tail than X, so if measured quality is very high, we should expect that to be mostly error. But of course, the opposite case is also possible. Now then, here’s some basic info about when different probability distributions are good choices.
I think this is a pretty good post that makes a point some people should understand better. There is, however, something I think it could’ve done better. It chooses a certain gaussian and log-normal distribution for quality and error, and the way that’s written sort of implies that those are natural and inevitable choices.
I would have preferred something like: