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Senior Member
greenbank i believe that is extremely useful it would help some if it was done for a complete factorization of a single number so i could also see what the factor distribution iswithin a single n=10-11mil test. of course this is not likely to happen so we'll take what we get. The stats are a little biased being that many of the factors were found using P-1 and many were found using sieve. This changes alot since these are completely different varieties of factors.
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