Scott Alexander explores the difficulties in contextualizing statistics, providing numerous examples to show how the same data can be presented to seem significant or trivial. Longer summary

Scott Alexander discusses the challenges of putting statistical findings into context, showing how different comparisons can make the same statistic seem either significant or trivial. He provides numerous examples of effect sizes and correlations from various fields to illustrate this point. The post aims to promote awareness of how statistics can be manipulated and encourages readers to be vigilant when interpreting contextual comparisons. Scott also acknowledges the limitations of using standardized effect sizes but argues for their utility in certain situations where more specific measures are difficult to comprehend. Shorter summary

Scott reviews 'Ages of Discord', which applies cyclic theories of civilizational rise and fall to modern America, finding the data interesting but the core theory questionable. Longer summary

Scott reviews Peter Turchin's book 'Ages of Discord', which attempts to apply the demographic-structural theory of civilizational cycles to modern America. The book presents data showing cyclic patterns in various societal indicators over the past 200+ years, including two main cycles: a long 150-year cycle of national growth and decline, and a shorter 40-60 year cycle of instability. Scott examines the data, theory, and potential problems with applying this pre-industrial model to a modern economy. While finding the data interesting, he is skeptical of some of the theoretical explanations and notes several issues with the arguments. He concludes that while the book provides some valuable concepts and historical information, its core cyclical theory remains questionable. Shorter summary

Scott Alexander critiques Adam Grant's article on gender differences in tech, arguing Grant misrepresents evidence and ignores key factors like innate interest differences between men and women. Longer summary

Scott Alexander critiques Adam Grant's article on gender differences, arguing that Grant misrepresents scientific evidence and ignores important factors like interest differences between men and women. Scott presents alternative explanations for gender imbalances in tech and other fields, emphasizing innate differences in interests rather than discrimination. He expresses concern about the hostile climate developing in tech around these issues. Shorter summary

Scott Alexander explores the possibility of a 'General Factor of Correctness' and its implications for rationality and decision-making across various fields. Longer summary

Scott Alexander discusses the concept of a 'General Factor of Correctness', inspired by Eliezer Yudkowsky's essay on the 'Correct Contrarian Cluster'. He explores whether people who are correct about one controversial topic are more likely to be correct about others, beyond what we'd expect from chance. The post delves into the challenges of identifying such a factor, including separating it from expert consensus agreement, IQ, or education level. Scott examines studies on calibration and prediction accuracy, noting intriguing correlations between calibration skills and certain beliefs. He concludes by emphasizing the importance of this concept to the rationalist project, suggesting that if such a 'correctness skill' exists, cultivating it could be valuable for improving decision-making across various domains. Shorter summary

Scott Alexander critiques a study on gender gaps in academia, arguing it ignores actual measures of ability which better explain the disparities. Longer summary

Scott Alexander critiques a study claiming that women are underrepresented in fields perceived to require innate talent. He argues that the study ignores actual measures of ability like GRE scores, which correlate more strongly with gender representation. Scott shows that when controlling for GRE quantitative scores, there is little left to explain in terms of gender gaps in fields like mathematics. He suggests the study's findings are an artifact of using perceptions as a proxy for actual ability, and criticizes how the media has misinterpreted the results. Shorter summary