How uncertainty ranges keep forecasts honest
Launch library · evergreen read
A forecast that offers a single confident number is often less trustworthy than one that offers a range, because the range is usually a more honest reflection of what is actually knowable. Complex systems, weather, economies, populations, rarely behave predictably enough to justify the false precision of one exact figure.
The width of the range itself carries information. A narrow range suggests a forecaster has strong, consistent evidence, while a wide one is an honest admission that several outcomes remain plausible. Collapsing that range down to a single headline number, as often happens in reporting, quietly discards some of the most useful information available.
Reading a forecast well means paying attention to the range as much as the midpoint, and treating the edges of that range as genuinely possible outcomes rather than remote exceptions. A forecast that turns out to land near either edge has not necessarily failed, since that edge was part of the range all along.