The goal of the study was to assess the quality of drinking water sources using a risk-oriented approach. The researchers used Bayesian methods to evaluate the homogeneity of data and assess the statistical reliability of their conclusions. They found that considering the degree of homogeneity of data allowed for more accurate assessments of water safety. By incorporating recent data and adjusting for data uniformity, the researchers were able to better predict the risks of not meeting hygienic requirements. The choice of distribution law for the data indicators also influenced the accuracy of the assessments.