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Message: <blockquote data-quote="FrogReaver" data-source="post: 9073136" data-attributes="member: 6795602">Maybe it will help some to understand what I’m sitting up on my end.I’m starting with the dup removed set I just use it as the starting point for further trims.I then want the next dataset to be what we broadly agree with on trimming.  Let’s call this the ‘Type 1 error dataset’.  Goal is for it to not exclude any data that should be there. Which means basically when in doubt include.I’m also good with a ‘Type 2 error dataset’ where we trim the data to the point where we are more or less certain what’s remaining is valid.I’m good posting results based on type 2 dataset unless I want to talk about some of the data we excluded from it. For example it would be interesting to know that hypothetically 200 of 300,000 characters had all 18 stats.Does that work for a compromise?</blockquote>