This podcast episode explores the prevalence and impact of scientific misconduct, particularly issues related to paper retraction. It discusses the difficulties in detecting fraudulent data during peer review and the pressures scientists face to publish in prestigious journals, leading to potential misconduct. The episode also highlights the work of Data Colada scientists, who audit study methodologies and have identified multiple instances of questionable data, including in the papers of Francesca Gino.
