You are asked to read three papers on the problem of p-values and the papers are quite relevant to the recent American Statistical Association announcement that the indiscriminate use of p-values and “bright line” cutoffs for significance should end immediately. Although p-values do not figure prominently in most applications of predictive analytics, they are prominently used in explanatory modeling and sometimes in algorithmic modeling, so the topic is of concern to us. The first paper discusses many problems with statistical inference, especially p-values and provide a nice discussion of historical perspective on inference; the paper is from the Journal of Management. The second paper discusses a related problem to p-values and that is the increasing problem of non-reproducible research results; there are many reasons, but reliance on p-values is one of them and one of the motivators for the ASA statement. Finally, the last paper is from Nature and is a good discussion of the rampant confusion about p-values and the misinterpretation and misuses. After reading the papers please post comments, etc., in the associated Discussion Forum