Quote Originally Posted by Rivienne View Post
It isn't fancy math.. it is about statistics.

Random is random(or pseudo-random in this case obviously). But once you apply a statistical value too it, like SE has done, then it can be expected to conform to that number within certain tolerance levels over larger sample sets, otherwise that number is meaningless.

I am not complaining here: I think things function okay-ish. Just that the numbers SE has given aren't accurate to what is going on from what I have seen thus far, but they do mostly conform to some pattern. Just not the one stated by the number SE gave. Subtract 10% (for any value between 10% and 99%) seems a good rule of thumb for me. (Though it likely isn't accurate to what is actually going on to cause that perception)
It doesn't matter what you say really, my comment still rings true. Sugar coat it with as many math textbooks as you like good sir. If it's not 100% you ALWAYS have a chance to fail.