Precision vs Accuracy
This sounds exact — but how likely is it to be right?
When someone gives you a specific number or confident prediction, ask: How precise is this? How accurate is it likely to be? Write both answers. Precision without accuracy is false confidence — 'we'll grow 23.7%' is precise but almost certainly inaccurate.
You're making a decision based on forecasts, estimates, projections, or expert predictions.
The precision comes from verifiable measurement rather than estimation.
Why it works
Specific numbers feel more credible than ranges, even when the specificity is invented. Distinguishing between how precise a claim sounds and how likely it is to be correct protects you from false confidence.
A weather forecast that says ‘72.3°F at 2:47pm’ is extremely precise. A forecast that says ‘warm, mid-70s, afternoon’ is less precise but probably more accurate. Your brain treats these differently — the specific number triggers a feeling of expertise and reliability, even when the specificity is meaningless. This matters enormously in business and life. Financial models with detailed projections feel more trustworthy than honest ranges, so people build plans on false precision. The antidote is to always ask for the range, not the point estimate. ‘We’ll grow between 10% and 30%’ is less satisfying but far more useful than ‘23.7%’ — because it tells you the shape of the uncertainty you’re actually operating in.