If you go further with this logic, I think you end up concluding that you should always focus on the full, raw dataset -- since you can only compress it effectively if you either (a) have a correct model or (b) don't mind loss. https://t.co/XzqSBIgPc9
— John Myles White (@johnmyleswhite) December 11, 2018
I actually mostly agree with that claim because I think it puts the burden on acknowledging that most data analysis is just subjectively driven data compression -- all you generally get is the result of projecting your data onto some model space.
— John Myles White (@johnmyleswhite) December 11, 2018
Yes, comment was made in the context of the p value vs confidence interval discussion (as if they were different methods, rather than different inferential summaries within the same method). Ideally we'd throw mult. models at a problem, & assess them from mult. perspectives.
— Richard D. Morey (@richarddmorey) December 11, 2018
