Binary Search: The Algorithm That Turns Millions of Operations Into Twenty

The efficiency gap between linear and binary search becomes critical at scale, where O(n) vs O(log n) translates to millions of operations versus twenty. Binary search's power comes with a hidden cost: it fails silently on unsorted data, making proper data preparation essential for correctness in production systems.