Who's Bigger?

Who's Bigger? presents a data-driven approach to ranking historical figures by their significance, using Wikipedia and sophisticated algorithms to evaluate over 800,000 individuals throughout history. The methodology combines Wikipedia metrics and Google PageRank data to create a comprehensive scoring system. Skiena and Ward's program analyzes page views, edit frequency, article length, and other quantifiable factors to determine relative historical impact. The book includes both an overall ranking and specialized lists broken down by era, profession, and nationality. Rankings are adjusted through statistical methods to account for recency bias and other potential distortions in the data. This work raises fundamental questions about how historical significance can be measured and whether computational methods can meaningfully assess human impact across different cultures and time periods.

Readers found the book's ranking methodology intriguing but debatable. Many appreciated the data-driven approach to measuring historical significance, though several questioned the specific algorithms and metrics used. Positives: - Clear explanations of the computational methods - Sparked interesting discussions about measuring influence - Included lesser-known historical figures Negatives: - Many disagreed with specific rankings - Some found the technical details too dense - Several noted Western/American-centric bias - Multiple readers criticized the limited inclusion of women and non-Western figures One reader noted: "The methodology section was fascinating, but the rankings feel arbitrary at times." Another commented: "Interesting premise but too focused on American/European men." Ratings: Goodreads: 3.7/5 (86 ratings) Amazon: 4.1/5 (52 reviews) Several academic journals published critical reviews, with most focusing on the limitations of using Wikipedia and online data as primary sources for measuring historical significance.

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🔸 The book's algorithms analyzed over 800,000 historical figures from Wikipedia to create its comprehensive rankings, making it one of the largest data-driven analyses of historical significance ever conducted. 🔸 Author Steven Skiena is a Distinguished Teaching Professor of Computer Science at Stony Brook University and previously authored the popular textbook "The Algorithm Design Manual." 🔸 Jesus Christ ranks as the most historically significant figure according to the book's metrics, followed by Napoleon Bonaparte and Muhammad in the top three positions. 🔸 The study found that historical figures from non-English speaking countries are often underrepresented in English Wikipedia, leading the authors to develop special compensatory mechanisms in their algorithms. 🔸 The book's methodology incorporates what the authors call "gravitas" - a measure that helps distinguish between temporary celebrity and lasting historical importance, preventing modern social media stars from outranking major historical figures.