We have metrics for increases in mass, weight, volume, speed, reaction time, etc

We have metrics for increases in mass, weight, volume, speed, reaction time, etc. But we have no metric for information necessary to cause an incremental change in state, nor the ratio between that and the possible consequences. In other words, it takes more and more information to identify a tail event (unpredictable outlier), and the tail event will have a disproportionate effect relative to it’s median. We will have this with an AI, or some proxy for it. But we have no means of doing this with the brain. As such we should develop a general rule for information necessary to identify a tail event, and as a consquence a goal of obtaining sufficient information to eliminate tail events by predicting them. This formula wil be a universal as I many other laws of nature (pareto, power etc) are universal.

Reply addressees: @MuhammadAreez10