The article discusses how researchers predicted the outcomes of replication studies using a new model that considers inflated results and differences in effects. They found that many original study results were inflated, possibly due to bias or questionable practices. The model performed well in predicting replication outcomes in some cases, showing that non-significant results in replications can still be valid. This suggests that relying solely on statistical significance for replication success may not be accurate. The statistical methods and data used in the study are available in the ReplicationSuccess R package.