Huh, MPG seems like an interesting trick.
The obvious way to pursue an analogy is that masses are probabilities, but that seems to not work - the distances have no meaning, and there's no advantage over adding and subtracting probabilities of disjoint events.
So what if we make the distances probabilities. Now we can have P(A) be some distance AA', and P(A|B) be AB... No, no good... or if we make the probability the position of a point on the middle, is there anything interesting we can do with the weights of P(A) and P(B) to make P(AB)... So if you fix one endpoint to have mass 1, and the position to be P(A), the value of the other point will be the odds ratio P(A)/P(not-A). But there's no convenient way to multiply values of points...
Not sure there's any way to use all the parts of this buffalo, sorry.
Well that is rather what I think, too.
It's just that... I mean, I know the next bit is the opposite of rigorous and all that, but since my job is basically to teach kids how to play with shiny toys, I should at least see if they are child-friendly, right?:) so I am asking you as someone who probably has played more.
Suppose we have several - say, 9 - 'tests' we've run daily for two months, covering the turn of spring into summer, and the outcomes of all of them should reasonably change as the seasons progress, but not quite as straightforwardly as the devel...
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