A lot of the O(log N) items were depressingly basic. An undergrad education in CS will get you to O(log N) in basically all the Computer Science categories.
Where are the finger trees? Array-mapped hash tries? Cuckoo hashes? Where's the domain-specific algorithm knowledge, like machine learning or information retrieval or computer vision? The IDE plugins? "Let it crash" and supervisor processes for error handling?
It's also depressing that O(log N) for "years of experience" = 10+. A motivated and reasonably intelligent student can get to O(log N) in all the other categories with an undergraduate CS degree and about 2 years of work experience at a good employer.
Where are the finger trees? Array-mapped hash tries? Cuckoo hashes? Where's the domain-specific algorithm knowledge, like machine learning or information retrieval or computer vision? The IDE plugins? "Let it crash" and supervisor processes for error handling?
It's also depressing that O(log N) for "years of experience" = 10+. A motivated and reasonably intelligent student can get to O(log N) in all the other categories with an undergraduate CS degree and about 2 years of work experience at a good employer.