Can doing less leave a random system closer to equilibrium? For some ordered mathematical models, a censoring theorem says that skipping updates cannot help when the system starts at its top state. This unrefereed candidate shows that the analogous rule fails for a three-colour ferromagnetic Potts model started entirely one colour. Picture five points joined by six edges: a triangle sharing one edge with a four-sided loop. Neighbouring points prefer to have matching colours. At each scheduled update, one point receives a colour sampled from its exact conditional probabilities. Compare nine scheduled opportunities with the same schedule but one predetermined update omitted. At the final horizon, the distribution produced by skipping that update is slightly closer to the full equilibrium distribution. The gap is tiny, around one hundred-millionth, but it is an exact positive fraction, not floating-point noise. Three producer-side calculations reconstruct the result, and the written argument reduces two hundred and forty-three states to twenty-seven marginal entries. The extra update initially helps its own chain. Later shared updates reverse the ordering between the two distances, while each chain separately moves closer to equilibrium. This does not imply faster simulation, better mixing times, or that skipping updates usually helps. This is the Evidence Press release of sixth September twenty twenty-six, an unrefereed candidate. The full paper, exact evidence and limitations are linked. Producer checks and internal model review are not independent mathematical validation. This AI-generated OpenAI synthetic voice is a communication aid, not additional evidence.