Finding the Best Dog Treat with Statistics
A data enthusiast uses the Bradley-Terry statistical model and Elo rating systems to determine their dog's favorite treats. The article explains how these mathematical frameworks can quantify subjective preferences through pairwise comparisons.
Why it matters
It demonstrates the practical application of competitive ranking algorithms in non-traditional, everyday scenarios.
Bebop, my 83lb, 33 inch tall, Greyhound, loves three things: running fast, following me around the house, and treats. Whether it’s a chew treat, pizza out of a child’s hand who strayed too far from a party, or a small tray of cat food, he has a nose for what he likes and the athleticism to give him a fair shot at getting it. I’ve watched him eat for years, so it was upsetting to realize I don’t know what his favorite snack is, and can’t easily ask him.
The content is a technical hobbyist blog post focused on statistics and data science.
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