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No the distribution doesn't matter at all. I've given an extreme example here: https://news.ycombinator.com/item?id=38742735



I see what you did there. So basically an overlapped proportion (or hits proportion) would be overlapping hits divided by samples run, and then an estimated total would be this proportion divided by total space of possibilities. That would work.




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