Introduction  To reason rigorously under uncertainty we need to invoke the language of  probability (Zhang et al. 2020). Any model that falls short of providing quantification of the uncertainty attached to its outcome is likely to yield an incomplete and potentially misleading picture. While this is an irrevocable consensus in statistics, ...