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Dark uncertainty.
Analytical chemists often underestimate measurement uncertainty due to incomplete models and unconscious bias. Addressing this
Area of Science:
- Analytical Chemistry
- Measurement Science
Background:
- Analytical chemists frequently underestimate measurement uncertainty.
- This underestimation stems from both technical and psychological factors.
Purpose of the Study:
- To highlight the prevalent issue of underestimating measurement uncertainty in analytical chemistry.
- To identify the key reasons behind this underestimation.
Main Methods:
- Review of common practices in uncertainty estimation.
- Analysis of potential sources of error and bias in measurement data.
Main Results:
- Technical oversight: Incomplete models often fail to account for all uncertainty contributions.
- Psychological bias: Unconscious selection bias influences the information used for uncertainty assessment.
Conclusions:
- There is a need to recognize and address the 'dark' uncertainty in chemical measurements.
- Improved methodologies and awareness are required for accurate uncertainty quantification.
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