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 Alexander presents a curated list of interesting links and news items on topics ranging from politics and science to technology and culture. Longer summary

This post is a collection of interesting links and news items curated by Scott Alexander. It covers a wide range of topics including politics, science, technology, economics, and culture. Some highlights include: a study on the effects of gender-balanced corporate boards in California, a debate about YouTube's algorithm and radicalization, updates on the coronavirus outbreak, and interesting scientific findings on topics like obesity and climate models. The post also includes humorous items and writing prompts. Shorter summary