 The persistence of poor research design and data analysis in science is partly due to incentives that favour these methods, leading to a natural selection of bad science. A shift away from correcting misunderstandings towards rewarding understanding is necessary to improve the culture of science, as demonstrated through empirical evidence and computational modelling. This article was authored by Paul E. Smaldino and Richard McElweth.