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If P and Q are independently randomly distributed, you can't tell anything about Q from the value of P.
by zormino 9y ago
If P and Q are independently randomly distributed, you can't tell anything about Q from the value of P.
- ssivark 9y ago... unless the sample being examined was selected for being above average in at least one of P or Q. In such a sample, P and Q will be anti-correlated. https://en.m.wikipedia.org/wiki/Berkson's_paradox https://en.m.wikipedia.org/wiki/Berkson's_paradox
- zormino 9y agoOk, that actually makes sense. If they are truly independent, they will be unrelated. However since P+Q=LeadershipScore, and all LeadershipScore are about the same, then a high P indicates a Low Q. The connection between the two only exists because of that third piece of information, LeadershipScore, being held constant. The only part I disagree with is that LeadershipScore will be roughly the same in reality, I think a quick glance at the world's leaders shows some are clearly better in most ways than others.
- lookACamel 9y agoIt should be P+Q = L (another random variable) >= THRESHOLD_TO_BE_ACCEPTED_AS_LEADER