Readers discussing the utility of nomograms highlight Fagan's nomogram for Bayes' theorem as a powerful tool for visually representing mathematical relations and making machine learning classifiers more explainable. Commenters praise these analog calculation methods for providing an intuitive physical understanding of complex probabilities that often surpasses modern digital visualizations. The conversation also expands to other historical computational aids like the Smith chart and recommends online resources exploring pre-computer mathematical tools.