[omk]

In my opinion, the author aims to introduce entropy as a metric to evaluate the stability of processes. Creating room for advocacy against process changes when new additions/changes are likely to increase entropy by introducing new outcomes.

Example - engineering teams can be obsessed with introducing new variables to a sufficiently stable system with the intention to improve stability. But in turn, reduce stability due to inaccurate impressions of stability of the new variables.

This approach generates a bias against change, but in many situations this bias is helpful. This allows engineering teams time to observe process outcome distribution over a longer duration, improving the data backing any process change decisions.

Edit: added explanation