Hm, I still can’t find a way to interpret this that doesn’t reduce it to prior probability.
Density corresponds to how common life is (?), which is proportional to fl. Then the “size” of an area with a certain density corresonds to the prior probability of a certain fl? Thus, “the total number of people in low density areas is greater than the total number of people in high density areas, because the size of the low density area is so much greater” corresponds to ”p(fl=low)∗low>p(fl=high)∗high, because the prior probability (denoted by p()) of fl=low is so much greater”.
Hm, I still can’t find a way to interpret this that doesn’t reduce it to prior probability.
Density corresponds to how common life is (?), which is proportional to fl. Then the “size” of an area with a certain density corresonds to the prior probability of a certain fl? Thus, “the total number of people in low density areas is greater than the total number of people in high density areas, because the size of the low density area is so much greater” corresponds to ”p(fl=low)∗low>p(fl=high)∗high, because the prior probability (denoted by p()) of fl=low is so much greater”.