I don't understand. At ANALYZE time isn't, all other parameters being equal and adequate (costs, GEQO at max, effective_cache_size ...), the probability of obt

I don't understand. At ANALYZE time isn't, all other parameters being equal and adequate (costs, GEQO at max, effective_cache_size ...), the probability of obtaining a representative set of columns better with a larger amount of randomly-selected values? Then at planning time isn't the the devised plan of better quality? Adding sampled values may be bad performance-wise, for example if the planner cannot take everything into account due to some margin/interval effect, and therefore produces the same plan using a bigger set of values. The random selection process may also, sometimes, select less-representative data in the biggest analyzed set. But how may it never lead to the best plans (which may be produced using a smaller analyzed set) or lead to (on average) worse plans?