The ubiquity and durability of lithic artifacts inform archaeologists about important dimensions of human behavioral variability. Despite their importance, lithic artifacts can be problematic to study because lithic analysts differ widely in their theoretical approaches and the data they collect. The extent to which differences in lithic data relate to prehistoric behavioral variability or differences between archaeologists today remains incompletely known. We address this issue with the most extensive lithic replicability study yet, involving 11 analysts, 100 unmodified flakes, and 38 ratio, discrete, and nominal attributes. We use mixture models to show strong inter-analyst replicability scores on several attributes, making them well suited to comparative lithic analyses. Based on our results, we highlight 17 attributes that we consider reliable for compiling datasets collected by different individuals for comparative studies. Demonstrating this replicability is a crucial first step in tackling more general problems of data comparability in lithic analysis and lithic analyst's ability to conduct large-scale meta-analyses.

石器制品的普遍存在和持久性让考古学家了解人类行为可变性的重要维度。尽管它们很重要，但岩器文物的研究可能存在问题，因为岩器分析人员在他们的理论方法和收集的数据上存在很大差异。石器数据的差异在多大程度上与史前行为变异性或当今考古学家之间的差异相关仍然不完全清楚。我们通过迄今为止最广泛的岩屑可复制性研究来解决这个问题，涉及 11 位分析师、100 块未修改的薄片以及 38 种比率、离散和标称属性。我们使用混合模型在多个属性上显示强大的分析师间可复制性分数，使它们非常适合比较岩性分析。根据我们的结果，我们强调了 17 个我们认为可靠的属性，用于编译由不同个人收集的数据集以进行比较研究。证明这种可复制性是解决岩石分析中数据可比性以及岩石分析师进行大规模荟萃分析能力的更普遍问题的关键的第一步。