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| Platform | Pricing | Only free issues | Publishes | Weekly | |
|---|---|---|---|---|---|
| Issues | 171 | Founded | 4 years ago | Last Issue | 11 days ago |
| Active | |||||

Summary: LLMs can remove much of the software and data-prep friction involved in running an ANOVA, but they don’t remove the need to understand statistics. The actual calculations can be executed using deterministic code, often Python, whil...
Summary: LLMs have made straightforward statistical analysis far more accessible by allowing UX researchers to clean data, run tests, and interpret results without mastering traditional statistical software tools. But us researchers still n...
Summary: Miller’s Law has been consistently misinterpreted in UX for decades. It describes limits on how much information people can hold in their working memory at one time, not how many visible choices should appear in an interface. UX te...
Summary: I’ve noticed a common misconception in quant research that an entire study is considered either statistically significant or it is not. This article explains why statistical significance applies to individual findings within a stud...
Summary: After MS Forms produced a questionable winner from a 32-person force-ranking exercise, I exported the raw data and compared the default output with Borda scoring, pairwise wins, and the Schulze method. The analysis showed that diff...
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