(an issue raised by a recent failed-science story:) The distinction between research that could be valid but just happens to be wrong, and junk science that never had a chance

R-bloggers 2022-12-24

Summary:

Greg Meyer writes: An item perhaps of interest in regard to post-publication review, in this case in math/logic. A paper claimimg to prove a theorem posted posted online on 25 October in Studia Logica had its proof refuted in on … Continue reading

Link:

https://statmodeling.stat.columbia.edu/2022/12/24/an-issue-raised-by-a-recent-fake-science-scandal-the-distinction-between-research-that-could-be-valid-but-just-happens-to-be-wrong-and-junk-science-that-never-had-a-chance/

From feeds:

Statistics and Visualization » Statistical Modeling, Causal Inference, and Social Science

Tags:

miscellaneous

Authors:

Andrew

Date tagged:

12/24/2022, 12:04

Date published:

12/24/2022, 09:16