The rebuttal study is Holst et al., "Dataset artefacts can partially drive the measured decline in disruption," published in Nature in August 2026 (DOI: 10.1038/s41586-026-10787-y) ![]()
. The authors are Vincent Holst, Andres Algaba, Floriano Tori, Sylvia Wenmackers, and Vincent Ginis from Vrije Universiteit Brussel (VUB) and KU Leuven. It challenges the widely covered 2023 Nature paper by Park, Leahey, and Funk, which claimed that scientific and technological "disruptiveness" had been declining for decades ![]()
.
Key findings of the rebuttal
- What the errors were: A bug in the visualization software used by the original authors caused papers with the maximum disruption score to be omitted from published histograms without warning
. More critically, the largest source of error was that older database records in Web of Science frequently had incomplete reference metadata — papers with zero references listed were wrongly classified as "maximally disruptive" by the CD index method . As database quality improved over time, these false maximum scores became rarer, creating the illusion of a decline in disruptiveness .