The article explores a new way to test hypotheses using Bayes factors. Instead of assuming a specific value, they consider a range of values around it. For small sample sizes, this doesn't change much, but for large samples, it can affect the results. The researchers found that the peri-null Bayes factor can become inconsistent and approach a limit based on the prior distribution. They suggest ways to create consistent hypothesis tests using this approach.