Koller and Friedman write in "Probabilistic Graphical Models" about the "clarity test", so that state variables should be clear for an all seeing observer.

States like "human_activity" are not objectively measurable.

Fairly PGMs and causal models are not the same, but this way of thinking about state variables is an incredible good filter.