







Quotation errors in general science journals
Abstract. Due to the incremental nature of scientific discovery, scientific writing requires extensive referencing to the writings of others. The accuracy

fenc.es — be wrong on the internet, productively
Trace the map of reasonable disagreement. Break arguments into statements, rate confidence and importance, and find the crux.

RCTs: Crucial Yet Crucially Limited
RCTs do NOT estimate average effects; they also rarely EXPLAIN that which they have demonstrated.

Correction of scientific literature: Too little, too late!
The Coronavirus Disease 2019 (COVID-19) pandemic has highlighted the limitations of the current scientific publication system, in which serious post-publication concerns are often addressed too slowly to be effective. In this Perspective, we offer suggestions to improve academia’s willingness and ability to correct errors in an appropriate time frame.
Quotation errors in general science journals
Due to the incremental nature of scientific discovery, scientific writing requires extensive referencing to the writings of others. The accuracy of this referencing is vital, yet errors do occur. These errors are called ‘quotation errors’. This paper presents the first assessment of quotation errors in high-impact general science journals. A total of 250 random citations were examined. The propositions being cited were compared with the referenced materials to verify whether the propositions could be substantiated by those materials. The study found a total error rate of 25%. This result tracks well with error rates found in similar studies in other academic fields. Additionally, several suggestions are offered that may help to decrease these errors and make similar studies more feasible in the future.

AI agents are checking the scientific literature — and spotting decades-old errors
The technology is proving adept at finding faults in decades-old papers and reference databases.

The natural selection of bad science
Abstract. Poor research design and data analysis encourage false-positive findings. Such poor methods persist despite perennial calls for improvement, sugg


Are Scientific Papers Bad?
Ferhat Tura on Twitter / X
I have recently detected minor mistakes in the codes of a paper published in a high-quality journal and contacted the lead author first!, who acknowledged the mistake and contacted the journal. I thanked the author for doing open science and now we are collaborating on a paper💪— Ferhat Tura (@FerhatTura19) May 15, 2024
Dark-Moneyed Denialists Are Running 'Fixing Science' Symposium of Doubt
The “Fixing Science” symposium, which is hosted by the National Association of Scholars and kicks off today in Oakland, California, includes credible speakers who want to improve some areas of science hurt by the use of poor statistical methods or making irreproducible claims. Unfortunately, they are outnumbered by people who have often cast doubt on mainstream climate, environmental, and health sciences. For […]

Improving Science That Uses Code
Abstract. As code is now an inextricable part of science it should be supported by competent Software Engineering, analogously to statistical claims being

"I" may have just found a fundamental flaw in a "dense, high-prestige paper". Problem is, I don't have a clue what I did and how to verify any of this. I asked Gemini to perform a review of an interesting paper and it was skeptical and proposed a data analysis that should be performed.
a south park poster with a boy scout and the words what are you guys doing in there
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Keynote: Reproducibility and replicability of computer simulations | Canal U
Reproducible research: methodological principles for transparent…
Reproducible Research II: Practices and tools for managing compu…