The Open Thread posted at the beginning of the month has gotten really, really big, so I've gone ahead and made another one. Post your new discussions here!
This thread is for the discussion of Less Wrong topics that have not appeared in recent posts. If a discussion gets unwieldy, celebrate by turning it into a top-level post.
Discussions of correctly calibrated cognition, e.g. tracking the predictions of pundits, successes of science, graphing one's own accuracy with tools like PredictionBook, and so on, tend to focus on positive prediction: being right about something we did predict.
Should we also count as a calibration issue the failure to predict something that, in retrospect, should have been not only predictable but predicted? (The proverbial example is "painting yourself into a corner".)
I think so, but it's important to identify the time at which it became predictable - for example, you could only predict that you were painting yourself into a corner just prior to when you made the last brushstroke that made the strip(s) of paint covering the exit path too wide to jump over. This seems hard.
Also, you'd have to know what your utility function was going to be in the future to know that some event was even worth predicting. This seems hard, too.