A situation is ambiguous when available cues can be organized into more than one plausible meaning. Uncertainty is broader: you may be uncertain because outcomes are random, probabilities are unknown, facts are missing, language is vague, or several causal stories still fit.
That distinction matters. A coin toss can be uncertain without being ambiguous: the possible outcomes and probability model are familiar. A terse message from a colleague—“Can we talk?”—is ambiguous because tone, purpose and context are underdetermined. A policy that coincides with improved performance may be causally ambiguous because timing, selection, measurement and other changes offer rival explanations.
The research tradition is older than the phrase’s popularity. Else Frenkel-Brunswik described intolerance of ambiguity as an emotional and perceptual personality variable in 1949. Stanley Budner later defined ambiguous situations through novelty, complexity and insolubility and built a self-report measure. Later scales refined the construct for particular contexts. This history is established as a research lineage; it does not establish a single, context-free essence of “the ambiguity-tolerant person.”
That caution is important. A 2023 systematic review of frequently used uncertainty-tolerance scales in medical education found that no reviewed scale had evidence for all five sources of validity it assessed, and warned against high-stakes uses outside research. Measures can support a study under specified conditions; they do not license hiring decisions, diagnoses, or confident stories about a stranger’s character.