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. ...