We can create markers of important shifting areas and call them orders of magnitude for probability. One can use
Bayes’ Theorem to create these markers.

When predicting small probabilities of events. occurring, there is more inherent risk in those small probabilities. They can be way off since they are likely based on little data (events that have occurred rarely) and small shifts in the expected distribution can have large shifts in
Probabilities have orders of magnitude.