This is mostly cross-posted from here , but edited slightly for the crowd here. Given that this is grand Bayesian Central, I'm surprised to see the lack of good Bayesian analysis as applied to covid-19. This seems to be a major failure of science, lesswrong should pick up the slack!
In my previous blog post, I had some comments on the statistical analysis present in some covid-19 studies. It is easy to criticize, but can I do better? Let's find out what the data tells us about the fatality of SARS-coV-2.
Data by itself tells us nothing
Well, almost nothing - remember that we are trying to find something that should be more generally... (read 791 more words →)
I understand that - with some caveats - a waluigi->luigi transition may have low probability in natural language text. However, there's no reason to think this has to be the case for RLHF text.