Makes sense, thanks for taking the time.- > The point is that by preventing the model from learning a distribution that captures the extremely rare though real

Makes sense, thanks for taking the time.- > The point is that by preventing the model from learning a distribution that captures the extremely rare though real instances of things, you end up with a distribution that departs from whatever the reality of the situation is. You end up with a biased model, and that is highly unlikely to be a good thing. I (think I) understand. On top, the model being able to generate for conditions able to bring forth a "materially" (in realizable fact) unlikely condition, might yield results that are interesting, -particularly- because the conditions that it would be contingent upon -are- so hard, or unlikely in actual fact. Makes sense.-