My objection was that highest population and highest population density don’t necessary correlate even on Earth. For example, in India, the highest population density maybe in Bombey, there around 20 million people live, but most people (1 billion) live in rural areas with lower population density. It means that anthropic reasoning can’t be used to estimate density without some prior consideration of the density distribution and the size of low populated ares.
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”.
Thanks for the link on the Paul comment.
My objection was that highest population and highest population density don’t necessary correlate even on Earth. For example, in India, the highest population density maybe in Bombey, there around 20 million people live, but most people (1 billion) live in rural areas with lower population density. It means that anthropic reasoning can’t be used to estimate density without some prior consideration of the density distribution and the size of low populated ares.
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”.