Nonprecision

Nonprecision is a term used to describe a lack of exactness or refinement in measurements, data, descriptions, or processes. It denotes representations or assessments that are approximate, coarse, or within broad tolerances rather than exact values or highly detailed specifications. The concept can apply across technical, informational, and communicative contexts.

In relation to precision and accuracy, nonprecision signals that a result or description does not meet stringent requirements for exactness. Precision refers to the repeatability or resolution of measurements, while accuracy relates to closeness to the true value. Nonprecision focuses on the absence or insufficiency of these qualities, often indicating that a value should be treated as an estimate rather than a reliable figure.

In measurement and metrology, nonprecision often manifests as coarse resolution, large tolerances, or rounded values. Examples include stating a length as “about 5 meters” or a temperature as “roughly 20 degrees,” where the underlying measurement carries significant uncertainty and few or no significant figures beyond a rough estimate.

In data and computing, nonprecision can describe values with limited resolution or the effects of rounding and truncation. Fixed-point representations or single-precision numbers may produce nonprecise results, introducing uncertainty that must be accounted for in analysis or decision-making. Nonprecision in software and data handling frequently leads to ballpark figures, rough forecasts, or qualitative assessments.

In language and communication, nonprecision arises from vague terminology, general approximations, or intentional hedging. It can reflect uncertainty, ambiguity, or a preference for diplomacy over exactness.

See also: precision, accuracy, uncertainty, significant figures, estimation, rounding.