- Scientists at IISER Pune have developed a statistical model linking voter turnout to margin of victory in elections.
- The study, titled “Universal Statistics of Competition in Democratic Elections,” analyzed data from 581 elections across 34 countries.
- Led by Professor M.S. Santhanam, the team used a Random Voting Model to simulate voting patterns with accurate predictions.
- The research, published in Physical Review Letters, emphasizes the impact of voter behavior on election outcomes.
- The study was supported by SERB and the Department of Science and Technology, with computational analysis on the PARAM Brahma supercomputer.
- Deviations in elections in Ethiopia and Belarus were identified, suggesting potential electoral irregularities.
- The model could be a valuable tool in detecting election malpractice globally.
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