https://hackerpaper.kaipfister.de/p/0710.3742/Collected HN comments and submissions linking this paper.enMon, 02 Nov 2026 11:16:22 GMThttps://news.ycombinator.com/item?id=12510929urn:hackerpapers:mention:0710.3742:12510929Fri, 16 Sep 2016 00:03:47 GMT<p>The only &quot;Bayes&quot; I can see is the author starts with a uniform prior and applies Bayes rule in one of the examples, and in fact the whole thing is kind of all over the place. His approach of dragging a cut point across the data and asking &quot;is it significant here? how about here?&quot; is going to be prone to all sorts of false positives: if you set your threshold to 0.05, you&#x27;ll expect one positive every 20 looks at the data. (He&#x27;s looking for overlaps of credible intervals; this is going to work out to be the same thing). Here are a couple useful links for doing this kind of problem…</p><p><a href="https://hackerpaper.kaipfister.de/p/0710.3742/">Paper and discussion history</a>. A mention is not an endorsement.</p>stat.ML