The control of human behaviors goes beyond merely satisfying a controllability property. It involves strategically steering the system to prevent reaching tipping points or to reduce the impact of failures. This perspective marks a significant departure from the traditional control theory applied in neuroscience and human behavior studies, which often rely on the Kalman notion of full or partial controllability for all states. Unlike the control of robotic arms or valves, where an exact trajectory is ideal, biological agents, such as humans, navigate through extended periods characterized by numerous unobservable and time-varying complexities. These systems often display unpredictability at finer scales, while also revealing interpretable coarse-grained emergent properties. An example of this can be seen in the symptom trajectories in depression, where short-term fluctuations are considered normal, and only the coarse-grained trajectories are deemed relevant—a viewpoint consistently upheld across diagnostic guidelines.