Disproportionate impact in policing has long been a concern for researchers and practitioners alike, with much of the focus on traffic stops. While there are many methods used to determine disproportionality in traffic stops, the veil of darkness (VOD) approach has increasingly become one of the most popular frameworks. Although there is consensus on certain aspects of the method, researchers utilizing VOD disagree on the appropriate sampling strategies. This research examines the original VOD method and three different sample restrictions proposed within the VOD literature to demonstrate the effect each has on the conclusions drawn. The results indicate that there is variation in the estimates of disproportionality depending on the sampling strategy used. As such, researchers using the VOD method must be cautious in their sampling decisions in mid-size jurisdictions due to the impact these such choices have on the conclusions drawn about disproportionate impact.

长期以来，警务中的不成比例影响一直是研究人员和从业人员所关注的问题，其中大部分集中在交通停靠点。尽管有许多方法可以用来确定交通站点中的不成比例，但“黑暗面纱”（VOD）方法已逐渐成为最受欢迎的框架之一。尽管在方法的某些方面存在共识，但使用VOD的研究人员在适当的采样策略上意见分歧。这项研究检查了原始的VOD方法和VOD文献中提出的三种不同的样本限制，以证明每种方法对得出的结论都有影响。结果表明，根据所使用的采样策略，不成比例的估计值存在差异。因此，