Encourages cautious analysis by weighing evidence, assumptions, and limits when data is ambiguous or partial.
Keywords
uncertainty,
interpretation,
datum,
ambiguity,
incomplete,
probability,
risk,
confidence,
range,
sensitivity,
variance,
noise,
bias,
forecast,
indicator,
signal,
judgement,
reasoning,
context,
evidence,
validation,
robustness,
error,
likelihood,
alternative,
decision-making,
prudence,
caution,
transparency,
documentation,
explanation,
communication,
flexibility,
adaptation,
resilience,
awareness,
foresight,
calibration,
approximation