This talk consists of two parts. In the first part of the talk, we examine and quantify p-value uncertainty and replication power and show that over-interpretation of significant p-values is an important factor contributing to the unexpectedly high incidence of non-replication in research. In the second part of the talk, we discuss why p-values are just “the tip of the iceberg” when it comes to...