Some other HN user actually coded a Greasemonkey script to do just that: http://www.alexc.me/hnscore-another-look-at-post-quality-on-hacker-news/211/ http://www

Some other HN user actually coded a Greasemonkey script to do just that: http://www.alexc.me/hnscore-another-look-at-post-quality-on-hacker-news/211/ http://www.alexc.me/hnscore-another-look-at-post-quality-on-... If you wanted to do it right, you'd need to collect a seed sample of articles you thought generated excessively boring/predictable comments. Then you could analyze them, generate grounded theory, and run the rules on the population of HN stories to look for false positives. Any other recent examples of boring comment sections?