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Social and medical sciences have found that they obtain contradictory results around half of the time when they redo studies (much less in some fields). In ecology, it is difficult and expensive to redo studies and we expect far more variation in results due to environmental stochasticity, so we are unsure of how replicable the ecology literature is. There are a few ways of trying to evaluate this without breaking the bank: conducting multiverse analysis or a many-analyst study, partnering with other labs for large-scale collaborations, investigating the prevalence of practices known to lead to low replicability of results, and changing how we critically evaluate the literature. This talk will draw together interdisciplinary and ecological learnings on each of these topics to showcase some key advances in ecological meta-research.
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