[HN Gopher] Not Frequentist Enough
       ___________________________________________________________________
        
       Not Frequentist Enough
        
       Author : Tomte
       Score  : 16 points
       Date   : 2022-12-02 15:03 UTC (7 hours ago)
        
 (HTM) web link (statmodeling.stat.columbia.edu)
 (TXT) w3m dump (statmodeling.stat.columbia.edu)
        
       | boole1854 wrote:
       | Wow, I could have _sworn_ I read this a while back, but the post
       | date is today! What?
       | 
       | For anyone else that this occurs to, here's the explanation: a
       | similar post with only a few wording differences was posted back
       | in October:
       | https://statmodeling.stat.columbia.edu/2022/10/05/not-freque...
        
         | squaredot wrote:
         | I came to the comment section to look for this comment! Thanks.
         | 
         | Maybe the reposting is part of a frequentist study. I'll call
         | it article laundering.
        
         | yamrzou wrote:
         | Yes: https://news.ycombinator.com/item?id=33114403
        
         | topaz0 wrote:
         | I had exactly the same reaction. I wonder what happened. Thanks
         | for sleuthing.
        
       | blamestross wrote:
       | The root challenge of all modern frequentist statistics is "does
       | the selection criteria for the sample actually allow me to
       | generalize the results". Experiments and post-hoc analysis are
       | really sensitive to selection biases and researchers (and much
       | worse the media) tend to overgeneralize the results of a study.
       | Its particularly bad in medicine. My personal bugbear is that you
       | can only participate in a study for an autoimmune disorder if you
       | only have the 1 disorder of focus, but real people with
       | autoimmune disorders tend to have more than one (diagnosed or
       | not). So studies on treatment efficacy basically can't actually
       | generalize to the populations they intend to treat because they
       | select against them.
        
         | kkoncevicius wrote:
         | > The root challenge of all modern frequentist statistics is
         | "does the selection criteria for the sample actually allow me
         | to generalize the results".
         | 
         | Why did you single out frequentists here? This is a challenge
         | for all inference, prediction, classification, and any other
         | "forecasting".
        
           | blamestross wrote:
           | All those things are either frequentist or baysian
           | statistical models. Baysian models are much harder (often
           | impossible) to use but at least pay attention to
           | intersectionality.
        
       ___________________________________________________________________
       (page generated 2022-12-02 23:02 UTC)