The critical distinction in designing decision frameworks is whether a domain exhibits thin-tail or fat-tail distributions, because thin-tail distributions can be surprised by outliers that violate their assumptions, whereas fat-tail distributions incorporate large deviations within their statistical properties, making the latter epistemic class mandatory unless there are compelling physical reasons to rule it out.