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There is now abundant evidence that we analytical chemists are tending to underestimate the uncertainty of our measurements. There are two main underlying reasons for this. One reason is technical: it is easy to overlook important contributions to uncertainty, so the models used to estimate uncertainty may be incomplete. The second reason may be psychological: there may be an unconscious selection bias in the information we use to assess uncertainty. What should we do about this missing, ‘dark’, uncertainty?
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