this post was submitted on 06 Feb 2025
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So the point is that always only exactly 2 elements are compared and so you first have to split everything into groups of 2. Seems very inefficient for larger datasets, since you need to handle every single item over and over again and compare so so often. But not a sorting and comparison expert, so no idea if human sorting logic applies at all.
Tbf, Merge Sort has a Big O of n log (n) in all cases, so it's a pretty mid sorting algorithm in general, but it's conceptually straightforward and easy to explain to newbies.
There's no better big O sorting method for generic lists. Heap sort has better averages but the big O is the same in the end.