Analysis of Internal Exact Replication: Addressing p Hacking, Bayes Factor Hacking, and Related Issues

The researchers propose a solution to evaluate data that has been gathered through optional stopping. The rate of significant findings is evaluated to determine whether an effect can be considered authentic by dividing a given dataset into subgroups of n(b) (the smallest number of data that result in significant findings).