We review the recent debate on the lack of reliability of scientific results and its connections to the statistical methodologies at the core of the discovery paradigm.
Contributions to the debate include recommendations for paradigm changes as well as methods to quantify the reliability of the present paradigm.
We review the main proposals within the two approaches and we propose a new modeling strategy for assessment purposes to exploit data from replication experiments.
