C.28.MR:6 - Bias-Annotation

Small equation examples favor deterministic reasoning and can hide shared disturbances, partial observation and delayed effects. Carry the joint input law and intervention horizon into stochastic or dynamic applications. The directness of a software assignment can also bias the modeler toward treating any variable as independently controllable. Recover the physical or organizational mechanism that would implement the proposed change.

The examples illustrate derivation under supplied assumptions. They do not estimate how often those assumptions hold in another practice. A user can retain a useful conditional result while investigating a particular assumption that matters to its application.