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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
eLife Sciences Publications, Ltd
2022
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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. |
format | Online Article Text |
id | pubmed-9398444 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | eLife Sciences Publications, Ltd |
record_format | MEDLINE/PubMed |
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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