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