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Lies. Damned Lies. P-value thresholds

60 pointsby fghorow5 months ago

7 comments

sdwr5 months ago
This piece is basically set up to fail. It&#x27;s historical, based on math, and doesn&#x27;t venture towards any drama or stakes. I can easily imagine it being a farticle on a third-rate SEO webzine.<p>So why does it work okay as a New Yorker piece? How is their writing consistently good?<p>I think their secret sauce is the (implied) perspective. The impression that the author has a unique, complete, accurate take on the subject, and is letting you in on it piece by piece, in a meandering way.
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brudgers5 months ago
Previous discussion under original title, <a href="https:&#x2F;&#x2F;news.ycombinator.com&#x2F;item?id=20978134">https:&#x2F;&#x2F;news.ycombinator.com&#x2F;item?id=20978134</a>
dccsillag5 months ago
If thresholding of P-values is the issue, E-values -- a recent, much more elegant, easier to work with, and more robust alternative to P-values -- solve this.<p><a href="https:&#x2F;&#x2F;arxiv.org&#x2F;abs&#x2F;2312.08040" rel="nofollow">https:&#x2F;&#x2F;arxiv.org&#x2F;abs&#x2F;2312.08040</a> <a href="https:&#x2F;&#x2F;arxiv.org&#x2F;abs&#x2F;2205.00901" rel="nofollow">https:&#x2F;&#x2F;arxiv.org&#x2F;abs&#x2F;2205.00901</a> <a href="https:&#x2F;&#x2F;arxiv.org&#x2F;abs&#x2F;2210.01948" rel="nofollow">https:&#x2F;&#x2F;arxiv.org&#x2F;abs&#x2F;2210.01948</a> <a href="https:&#x2F;&#x2F;arxiv.org&#x2F;abs&#x2F;2410.23614" rel="nofollow">https:&#x2F;&#x2F;arxiv.org&#x2F;abs&#x2F;2410.23614</a>
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Hilift5 months ago
Harold Shipman with the NHS killed about one person per month for 30 years, and the response was to ask if doctors could be monitored to discover this earlier. However, the systems they conceived &quot;eventually cast suspicion on the innocent&quot;. 25 years later the NHS is still struggling to answer these questions.
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chkgk5 months ago
<a href="http:&#x2F;&#x2F;archive.today&#x2F;yju8K" rel="nofollow">http:&#x2F;&#x2F;archive.today&#x2F;yju8K</a>
flobosg5 months ago
(2019)
moonlion_eth5 months ago
P values are why llms hallucinate
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