We characterize errors as a forest-structured Forest of Errors (FoE) and conclude that FoE makes the First the Best
主流观点认为推理错误是随机的、孤立的，可以通过更多探索来避免。但作者提出错误实际上具有森林结构特性，会相互影响和放大，这种系统性错误的观点挑战了人们对模型错误本质的传统理解。
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arxiv.org arxiv.org
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- Aug 2020
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academic.oup.com academic.oup.com
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van Smeden, M., Lash, T. L., & Groenwold, R. H. H. (2020). Reflection on modern methods: Five myths about measurement error in epidemiological research. International Journal of Epidemiology, 49(1), 338–347. https://doi.org/10.1093/ije/dyz251
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