This isn't so much an article about 1:1s in general, I would say, but more of a rant about bad Ph.D. student supervision in one particular case, which the autho

This isn't so much an article about 1:1s in general, I would say, but more of a rant about bad Ph.D. student supervision in one particular case, which the author generalises from N=1 observations. Of course there are many stories of poor grad school experience and the notable Prof. Smith from the legendary Ph.D. comic; but just to point out that there are also "rock star" supervisors: for instance, I was blessed to be able to email drafts of conference papers to mine at 11 p.m. and get corrections back by 5 a.m. For example, here are some interesting supervision anecdotes from CMU (computer science, not philosophy): https://pure.mpg.de/rest/items/item_3361714_1/component/file_3361715/content https://pure.mpg.de/rest/items/item_3361714_1/component/file... Now I can't say I know how the distribution of grad student supervisors looks like on the good/bad scale, but let's just be careful not to extrapolate from a single data point. PS: I applaud the author's approach to try to help using the methods he knew - a beautiful example of making use of transferrable skills (computing is full of them).