I will use those two new key statistical approaches to analyze this pilot dataset and also future iterations of this study (focused more on people who’ve experienced extremes of valence like cluster headaches or 5-MeO-DMT states). I am currently busy working on a number of other projects critical for the Qualia Research Institute, so doing this is currently on the back-burner (though of course I’m happy to hear if anyone is interested in taking on this challenge as a volunteer project).
2019-09-04 Update: Since posting this I’ve learned about the Bradley-Terry model for obtaining latent traits based on sets of rankings (https://en.wikipedia.org/wiki/Bradley%E2%80%93Terry_model) and also that there are libraries to do this (e.g. https://pypi.org/project/choix/).
Additionally, I’ve learned about “extreme value theory”, which describes the statistical distribution of extreme values (e.g. https://en.wikipedia.org/wiki/Generalized_extreme_value_distribution) and seen some applications to other long-tail events (see: https://blog.givewell.org/2015/07/13/geomagnetic-storms-using-extreme-value-theory-to-gauge-the-risk/).
I will use those two new key statistical approaches to analyze this pilot dataset and also future iterations of this study (focused more on people who’ve experienced extremes of valence like cluster headaches or 5-MeO-DMT states). I am currently busy working on a number of other projects critical for the Qualia Research Institute, so doing this is currently on the back-burner (though of course I’m happy to hear if anyone is interested in taking on this challenge as a volunteer project).
Cheers!