Nice. It looks like it leaves out problems due to lack of understanding of confounding for causal inference, and issues like the table 2 fallacy (http://dagitty.net/learn/graphs/table2-fallacy.html …)
“Statistics Done Wrong is a guide to the most popular statistical errors and slip-ups committed by scientists every day, in the lab and in peer-reviewed journals” https://www.statisticsdonewrong.com/index.html
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