Registration is open for ECOLT 2026! Saturday, Nov 7 at Georgia State University, Atlanta. Theme: "Language Assessment, Learning, and Local Context." Plenary by Dr. Xun Yan (UIUC). Two pre-conference workshops on Nov 6. Register: sites.google.com/view/ecolt/e...
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![What can be learned when multiple analysts arrive at different estimates
Kowall et al. (2025) have brought the multi-analyst approach to epidemiology, with instructive results. With this approach, multiple researchers analyze the same data set to answer the same research question. Or, at least, what appears to be the same research question. In fact, the very first paper that popularized this approach [1] has been criticized for using a vague research question (“Are soccer referees more likely to give red cards to players with dark skin tone than light skin tone?”), which apparently led the analysts to try to answer quite different questions—from a simple question about a bivariate statistical association to much more complex causal questions about racial bias [2].
In contrast, the research question passed on to analysts in Kowall et al. (2025) seems less ambiguous: Does marital status influence the incidence of cardiovascular disease? But less ambiguous does not equal unambiguous. Considerable...](https://cdn.bsky.app/img/feed_thumbnail/plain/did:plc:gz53felr7btxgmbxae5aooxi/bafkreidvs4c7wvoh63tr2ptmvnnl5hya246ofttwyzlvotkmqhnpwgbf4a)
