The document discusses a Bayesian end-member mixing analysis that incorporates unobserved end-members and measurement uncertainty in groundwater studies. It explores the impact of observation and model structure errors on analysis outcomes, suggesting the need for explicit considerations of these uncertainties. The paper highlights the utility of Bayesian inference methods for improving the robustness of groundwater mixing models and their predictions.