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How failure to falsify in high-volume science contributes to the replication crisis

The number of scientific papers published every year continues to increase, but scientific knowledge is not progressing at the same rate. Here we argue that a greater emphasis on falsification – the direct testing of strong hypotheses – would lead to faster progress by allowing well-specified hypoth...

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Detalles Bibliográficos
Autores principales: Rajtmajer, Sarah M, Errington, Timothy M, Hillary, Frank G
Formato: Online Artículo Texto
Lenguaje:English
Publicado: eLife Sciences Publications, Ltd 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9398444/
https://www.ncbi.nlm.nih.gov/pubmed/35939392
http://dx.doi.org/10.7554/eLife.78830
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author Rajtmajer, Sarah M
Errington, Timothy M
Hillary, Frank G
author_facet Rajtmajer, Sarah M
Errington, Timothy M
Hillary, Frank G
author_sort Rajtmajer, Sarah M
collection PubMed
description The number of scientific papers published every year continues to increase, but scientific knowledge is not progressing at the same rate. Here we argue that a greater emphasis on falsification – the direct testing of strong hypotheses – would lead to faster progress by allowing well-specified hypotheses to be eliminated. We describe an example from neuroscience where there has been little work to directly test two prominent but incompatible hypotheses related to traumatic brain injury. Based on this example, we discuss how building strong hypotheses and then setting out to falsify them can bring greater precision to the clinical neurosciences, and argue that this approach could be beneficial to all areas of science.
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spelling pubmed-93984442022-08-24 How failure to falsify in high-volume science contributes to the replication crisis Rajtmajer, Sarah M Errington, Timothy M Hillary, Frank G eLife Neuroscience The number of scientific papers published every year continues to increase, but scientific knowledge is not progressing at the same rate. Here we argue that a greater emphasis on falsification – the direct testing of strong hypotheses – would lead to faster progress by allowing well-specified hypotheses to be eliminated. We describe an example from neuroscience where there has been little work to directly test two prominent but incompatible hypotheses related to traumatic brain injury. Based on this example, we discuss how building strong hypotheses and then setting out to falsify them can bring greater precision to the clinical neurosciences, and argue that this approach could be beneficial to all areas of science. eLife Sciences Publications, Ltd 2022-08-08 /pmc/articles/PMC9398444/ /pubmed/35939392 http://dx.doi.org/10.7554/eLife.78830 Text en © 2022, Rajtmajer et al https://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited.
spellingShingle Neuroscience
Rajtmajer, Sarah M
Errington, Timothy M
Hillary, Frank G
How failure to falsify in high-volume science contributes to the replication crisis
title How failure to falsify in high-volume science contributes to the replication crisis
title_full How failure to falsify in high-volume science contributes to the replication crisis
title_fullStr How failure to falsify in high-volume science contributes to the replication crisis
title_full_unstemmed How failure to falsify in high-volume science contributes to the replication crisis
title_short How failure to falsify in high-volume science contributes to the replication crisis
title_sort how failure to falsify in high-volume science contributes to the replication crisis
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9398444/
https://www.ncbi.nlm.nih.gov/pubmed/35939392
http://dx.doi.org/10.7554/eLife.78830
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