The Models We Choose Define the Worlds We Can See

The Models We Choose Define the Worlds We Can See Modeling is commonly framed as approximation — the assumption that a system exists in full, and our models trace its contours with varying levels of fidelity. This framing is incomplete. Models do not merely approximate reality with varying precision. They constrain what dynamics can be represented in the first place. A model that represents populations as aggregate compartments cannot express phenomena that depend on individual interactions. A model that represents individuals on networks cannot yield closed-form predictions. These are not differences in accuracy — they are differences in what the model is capable of saying. ...

March 17, 2026 · 18 min · 3753 words · Miadad Rashid

Beyond What Works: Ideas, Intelligence, and the Courage to Be Creative

Beyond What Works: Ideas, Intelligence, and the Courage to be Creative When we talk about intelligence, we often treat it as the ability to solve problems. A problem appears. A system searches. A solution is found. But this picture hides something deeper. Not all solutions are of the same kind, because not all acts of intelligence operate at the same level. Some systems generate solutions within an established space. Others generate the spaces themselves. ...

March 16, 2026 · 11 min · 2268 words · Miadad Rashid

The Paradox of Individualism: How the Myth of Total Agency Makes Us Easier to Control

The Story We Tell Ourselves About Freedom Modern Western culture places enormous emphasis on individual autonomy. We are told that each person is the primary author of their life. Success is attributed to discipline and effort. Failure is attributed to poor choices. The underlying assumption is simple: the conscious individual is the primary source of action. This belief is deeply appealing. It grants dignity, responsibility, and moral clarity. If individuals control their choices, then society can reward virtue and punish wrongdoing with confidence that those outcomes reflect genuine decisions. ...

March 11, 2026 · 6 min · 1230 words · Miadad Rashid

Toward a Science of Politics: Dynamic Stability, Agency, and Dissipation in Open Social Systems

Motivation Political science has traditionally analyzed institutions, incentives, norms, and historical contingencies using descriptive and interpretive frameworks. While empirically rich, these approaches often lack a unifying theoretical substrate comparable to those found in physics, biology, or systems engineering. As a result, recurrent political phenomena—regulatory capture, institutional decay, authoritarian drift, legitimacy collapse—are frequently treated as ideologically contingent or historically unique rather than as expressions of deeper, repeatable dynamics. This work is motivated by the position that political organization is a physical phenomenon. Social systems differ from other physical systems not in kind, but in representation. They are composed of physical agents, physical resources, physical infrastructures, and physical constraints. Political systems must manage energy, material throughput, human attention, enforcement capacity, and coordination costs under non-equilibrium conditions. They are therefore subject to the same stability requirements as all dynamically stable systems. ...

March 1, 2026 · 7 min · 1477 words · Miadad Rashid