Sowiks commented on PR #96:
URL: https://github.com/apache/otava/pull/96#issuecomment-3543369282

   > I think to generate a data set that the hunter paper was concerned with, 
you need the drop to be short, maybe even 1-2 only:
   > 
   > ```
   >  drop = 400 + np.random.randn(2) * 5
   > ```
   
   Correct me If I'm wrong, but my understanding was that there are two 
separate problems:
   
   1. Disappearing of previous found critical points.
   2. Not detecting the critical points in the first place (because the number 
of abnormal points is small)


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