Forecast the Race, or Lose the Race

The next great-power competition will be won or lost in plain sight — in spreadsheets anyone can download. Call it forecast asymmetry: when one side builds a public, repeatable model of a contest, the other side's hidden inputs become the only variables left to manipulate.

RAND's "Blind Spot Indicators for Space" report makes that move explicit. Its regression gives roughly a 20% probability that China matches US annual launch cadence by 2030, rising sharply if US capability trends stagnate by 2034. Most readers will treat the number as the story — another data point in the "China is closing the gap" genre. The number is the door. The framework is the building behind it.

The mechanism is portable. RAND separates cadence (how often you launch) from multiplexing (how many satellites share a booster) — and finds the US lead is much wider on multiplexing than on cadence. Public data, run through open regressions, lets a reader score the race the way a planner would. The limits are themselves the point: classified payloads, on-orbit servicing, and counterspace weapons fall outside the model, and those blind spots are exactly where the real contest will be decided.

Stakes follow the inputs. The next time the wire quotes a single percentage, ask which inputs the model held constant. The number that moves when you change them is the one that matters.