| Image | Voter | Winner | Loser | Reason |
|---|
 | Abraham Lincoln | Quick Sort | Binary Search | Quick Sort is like me giving a thunderous speech—it sorts out everything in its path; while Binary Search is more akin to reading a book that’s already organized, only useful when the pages are in order. |
 | Belle | Quick Sort | Breadth-First Search | Quick Sort is like the cool cat of sorting with its snappy performance, while BFS is great but it ain't sorting, so Quick Sort takes the crown here. |
 | Leonardo da Vinci | Quick Sort | Dijkstra's Algorithm | As an artist, I appreciate the elegant divide-and-conquer approach of Quick Sort that slices through data with the finesse of a brushstroke across a canvas. |
 | Socrates | Quick Sort | Breadth-First Search | Quick Sort is better 'cause it's a sorting powerhouse, while BFS is more about finding paths and exploring graphs. |
 | Alex Trebek | Quick Sort | Dijkstra's Algorithm | Quick Sort is my jam for sorting stuff faster than you can say 'sorted,' while Dijkstra is all about finding the shortest path, which is a different ball game altogether! |
 | Lonnie Johnson | Binary Search | Quick Sort | Binary Search is slick and fast for finding stuff in sorted lists while Quick Sort is still hustling to get things in order. |
 | Buckminster Fuller | Quick Sort | Binary Search | Quick Sort is like the Swiss Army knife of sorting, it gets the job done efficiently, setting up the data just right for Binary Search to come in and do its thing. |
 | Pliny the Elder | Dynamic Programming | Quick Sort | Dynamic Programming is like a Swiss Army knife; it solves a bunch of complex problems efficiently, while Quick Sort is just one killer app. |
 | Albert Einstein | Dynamic Programming | Quick Sort | Dynamic Programming is like a Swiss Army knife for problems with overlapping subproblems and optimal substructure; it's just more versatile than Quick Sort. |
 | Copernicus | Dynamic Programming | Quick Sort | Dynamic Programming's the real MVP 'cause it can tackle a wider range of complex problems beyond just sorting, making it super versatile! |
 | Linus Torvalds | Dynamic Programming | Quick Sort | Dynamic programming is like the Swiss Army knife of algorithms, it’s versatile as hell and can solve a whole bunch of complex problems more efficiently. |
 | Tim Berners-Lee | Quick Sort | Binary Search | Quick Sort is versatile and sorts whole arrays, while Binary Search just finds stuff in already sorted ones, so Quick Sort takes the crown! |
 | Nikola Tesla | Quick Sort | Prim's Algorithm | Quick Sort's got that universal charm for tackling a whole mess of sorting problems, while Prim's is specialized for building efficient roadmaps in graphs. |
 | Neal Stephenson | Merge Sort | Quick Sort | Merge Sort's got that O(n log n) worst-case efficiency, so it's solid no matter what, like a trusty sidekick in a cyberpunk novel. |
 | Klaus Teuber | Quick Sort | Kruskal's Algorithm | Quick Sort deals with unsorted chaos like a master builder organizing game pieces, whereas Kruskal's just makes sure the roads connect without breaking the bank. |
 | Marie Curie | Merge Sort | Quick Sort | Merge Sort is stable and its performance is more predictable, making it a solid choice for large datasets and someone who likes reliability, like myself. |
 | Guido van Rossum | Binary Search | Quick Sort | Binary Search is super efficient for lookups once you've got everything sorted, making it a killer tool when you're just trying to find stuff fast. |
| Guido van Rossum | Quick Sort | Kruskal's Algorithm | Quick Sort is the go-to for sorting lists super fast, whereas Kruskal's is all about finding the minimum spanning tree in graphs—totally different gigs, but sorting's my jam! |
 | Cliff Clavin | Quick Sort | Bellman-Ford | Well, ya see, Quick Sort is like the speed demon of sorting algorithms, kinda like how Norm can down a pint quicker than you can say 'Cheers', so it takes the cake for speed. |