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A recent study found that when scientists analyze the same data set, they can arrive at vastly different conclusions. The study, which surveyed hundreds of ecologists and evolutionary biologists, found that the answers to two research questions varied significantly among participants. The questions were: "To what extent is the growth of nestling blue tits (Cyanistes caeruleus) influenced by competition with siblings?" and "How does grass cover influence Eucalyptus spp. seedling recruitment?" The study highlights the problem of reproducibility in science, where small differences in data analysis can lead to huge differences in results. The authors suggest that researchers should avoid treating published research as fact, conduct more analyses per article and report all of them, and include a description of how the results depend on data analysis decisions in each study.
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