Difference between revisions of "Talk:2001: Clickbait-Corrected p-Value"

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Latest revision as of 23:08, 19 June 2018

I thought this comic was about correcting for any p-hacking that aimed to increase the media presence (and thus the clickbait) of the study. 17:32, 1 June 2018 (UTC)

The explanation for null hypothesis is correct semantically, it would be accepted if there was no OR negative improvement, however, this is usually stated more succinctly as "will not improve performance" or (in keeping with the language of the comic) "does not boost performance", since that has the same meaning without the unnecessary verbosity. ---- (talk) (please sign your comments with ~~~~)

I can't believe I clicked on this 20:28, 1 June 2018 (UTC)

I've removed a paragraph which claimed that this was an instance of Bayes theorem. Despite some similarity in structure, it is not. Winstonewert (talk) 01:39, 2 June 2018 (UTC)

I was honestly expecting a comic about (or at least referencing) 2001: A Space Odyssey. Herobrine (talk) 07:41, 2 June 2018 (UTC)

If reseachers were to use this adjusted formula, it would make sensational results much harder to demonstrate as significant, and uninteresting results much easier. Seems to me it’s a good adjustment for a lot of things. I wonder about p-values, though ... seems to me a value that is at all borderline just means you don’t have enough data yet for the actual size of the effect you’re measuring, but I don’t know much about statistics. 02:08, 3 June 2018 (UTC)

Ummm. I use a Gecko engine* with "Block Advertisement" checked. *(K-Meleon 76.0) I can see the image from "xkcd Phone 2000" and "LeBron James and Stephen Curry", but NOT THIS PAGE. Unless I uncheck "Block Advertisement". Obviously this is to encourage clicking on things? 09:29, 4 June 2018 (UTC)

This could be an attempt to correct for the effects described in the infamous Iohannides paper:

In this framework, a research finding is less likely to be true when the studies conducted in a field are smaller[...] where there is greater flexibility in designs, [...] where there is greater financial and other interest and prejudice; and when more teams are involved in a scientific field in chase of statistical significance. Simulations show that for most study designs and settings, it is more likely for a research claim to be false than true.

-- 23:04, 19 June 2018 (UTC)