The Evolution of “Bad Science”

Science faces a replicability crisis. This is well-known among scientists and even the general public. Various explanations have been proposed as to the cause of this crisis – some of them on this blog – but these proposals have usually been informal in nature. Recently, two scientists (Smaldino & McElreath, 2016) built a computational model … Continue reading The Evolution of “Bad Science”

Replication in science

Science is a framework for understanding the world. We observe a phenomenon, ask questions about it, and build models to describe and predict it[1]. Crucially, this process is iterative. We’re constantly refining our experiments, theories, and models, in an effort to improve our understanding of some phenomenon. Instead of accepting the results of a study … Continue reading Replication in science