As a reviewer and recipient of reviews, I've noted a recent trend among IR papers. A study uses cross-national data with regression analysis, and runs multiple models with different variables or sub-sets of the data. Sometimes the results are consistent, sometimes they aren't. But often a reviewer will object to the study's validity, pointing to the "multiple comparisons" issue. Multiple comparisons can be a real problem in quantitative IR studies, but I worry we're mis-diagnosing it. What do I mean? Imagine we're writing a paper on interstate conflict. We could measure conflict onset,...