Case study analyzes how values affect knowledge creation in science, suggesting risk in meta-analysis.
A central finding of social epistemology is that phenomena desirable at the individual level might have hidden undesirable effects that emerge on the social level. These emergent effects have important implications for the management of values in science. Using a historical case study of the safety of hormonal pregnancy tests, I argue that the meta-analysis of studies risks compounding value-influence in undesirable ways. In statistical analysis, researchers must either constrain values such that they do not impact the measure of central tendency or accept that they have created “bespoke knowledge”, knowledge which cannot be reused or exported to other contexts.
No takes yet. Share an insight, caveat, or question.
Bennett Holman (2026) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: