Justin Bruner (Australian National University), Bennett Holman (Underwood International College, Yonsei University)
Concern over the reproducibility of experimental work in the social sciences has motivated some to re-examine the extent to which science can be said to be self-correcting. We consider a recent argument put forth by Romero (2016) that science is unlikely to self-correct because of its social structure and the norms that govern publication practices. We contend this understanding of scientific self-correction is misguided and argue that self-correction is possible but requires both a norm of truth seeking and a commitment to the development of new inferential techniques and data aggregation procedures.
