The eternal struggle of being the one person who actually understands Big O notation while your coworkers confidently explain why their nested for-loop inside a while-loop is "probably fine for production."
Rob's lamenting the rise of developers who've mastered the art of sounding authoritative about computational complexity without actually knowing the difference between O(n) and O(n²). Meanwhile, Hassan's "rough few years" comment hits different—watching people confidently ship algorithms that would make Dijkstra weep while you're over here trying to optimize that binary search tree.
The Dunning-Kruger effect is in full force: those who know the least about algorithmic complexity are often the most confident about their "intuitive" solutions. It's like watching someone insist their bubble sort is "fast enough" because it worked on their sample data of 10 elements.
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