Human outcomes are controllable through causal state intervention
arXiv paper argues that within-person variability in behavior stems from latent dynamic states, not just observable inputs. Same person, same situation, different outcomes on different days—the difference lives in internal state at the moment of decision.
Core claim: human outcomes become predictable and controllable when you target the weighted state vector that governs biology, physiology, and neurology at decision time. Precision hinges on timing and state capture, not external coercion.