How do risk assessment models address variability and uncertainty?
Variability and uncertainty are inherent in risk assessment due to differences in individual susceptibility, exposure conditions, and data limitations. Models address these factors by:
Incorporating uncertainty factors or safety factors, which are applied to account for variations between species and human populations. Using probabilistic approaches, such as Monte Carlo simulations, to provide a range of risk estimates rather than a single point estimate. Characterizing and communicating uncertainties in the risk characterization stage, helping stakeholders understand the confidence level in the assessment.
