Communicating Uncertainty Honestly

Your final task for this mission: brief the town council on next month's streamflow forecast, including uncertainty, in language that won't be misunderstood as either false precision or unhelpful vagueness.

Communicating uncertainty well means resisting two opposite failures: hiding the uncertainty to sound more authoritative than the evidence supports, and burying the answer in so many caveats that nobody can act on it. Good uncertainty communication states a clear central estimate, a clear range, and one plain sentence about what that range means for the decision at hand.

A good uncertainty statement is like a doctor telling you 'recovery usually takes 4 to 6 weeks, most likely around 5,' instead of either promising an exact date they cannot really know, or listing every conceivable complication until you have no idea what to plan for.

Public-facing scientific communication, hurricane forecast cones, epidemic case projections, economic forecasts, succeeds or fails largely on how well it balances these two failure modes. Mission 11 will go deeper into scientific communication generally; this lesson is the uncertainty-specific piece of that skill.

Explain, in your own words, why 'the model says 14.2 m³/s' is a worse thing to tell a policymaker than 'we expect roughly 12-16 m³/s, with 14.2 as our best estimate'.