Sloppy science, shortcuts, and COVID-19

This podcast episode explores the concept of `sloppy science` and the consequences it can have on scientific research. The episode discusses examples of sloppy science, including the Stoppel affair in the Netherlands, and emphasizes the negative effects of a results-driven culture on public trust in science. It also examines the institutional practices and cognitive factors that contribute to the prevalence of sloppy science. Ultimately, the episode calls for a reevaluation of current institutional practices and the need for a critical mindset to counter the spread of sloppy science. Takeaways • Sloppy science occurs when shortcuts and simplifications are made during scientific research, leading to incorrect statements and unreliable findings. • The Stoppel affair in the Netherlands is an example of sloppy science, where a researcher forged fake data. • An overly results-driven culture and the acceptance of incomplete or disproven claims contribute to sloppy science. • Peer review and the reluctance to discuss opposing theories are institutional practices that contribute to the prevalence of sloppy science. • Political and financial pressures can also influence the declaration of desired results as correct. • Cognitive factors, such as coping strategies to limit cognitive load, can contribute to the acceptance of sloppy science. • Objective questioning and constant interrogation of findings are important for ensuring good science. • Truthies, TLDR, and TCUSI are three negative trends in science that contribute to sloppy research and misguided judgments. • Effective science communication and two-way conversations between the public and scientists are essential to overcome these challenges. • The episode identifies seven critical mistakes that can undermine the scientific process, including jumping straight into explanations without proper investigation and disregarding crucial variables. • Careful consideration of all aspects of the research process, transparency in discussions on assumptions, context, and limitations, are important to prevent sloppy science.