Who Moved My Vote?: Digging through Indian Electoral Data – By Yugank Goyal (Author), Arun Kumar Kaushik (Author)

Deconstruct the hidden numerical scaffolding of the world's largest democratic exercise and look directly into how structural arithmetic can quietly reshape a nation's political landscape. In Who Moved My Vote?: Digging through Indian Electoral Data, prominent public policy scholar Dr. Yugank Goyal and economist Dr. Arun Kumar Kaushik deliver a masterfully rigorous, data-driven expose of the Indian electoral system. Shifting completely away from typical, emotion-fueled prime-time political rhetoric or superficial party gossip, this premium non-fiction volume acts as an indispensable, screen-free strategic companion—using clinical statistical analysis to reveal how the mechanics of voting can alter the true will of the electorate.

At the absolute center of their investigation is India’s traditional First-Past-The-Post (FPTP) electoral framework. In this system, victory doesn’t require an absolute majority of the population's support—only a single vote more than the nearest runner-up. Written in an exceptionally clear, objective, and authoritative voice, Goyal and Kaushik dig deep through decades of national and state election results to expose the striking mathematical paradoxes that occur routinely: How political parties capturing a minor share of the total popular vote can comfortably secure an absolute majority of legislative seats, and why the "quality" of a political sweep rarely aligns with actual voter sentiment on the ground. By analyzing structural "mandate leakages," disproportionality indices, and electoral competitiveness, this book transforms complex psephology (the statistical study of elections) into a gripping, accessible mirror for self-reflection, making it a crucial reference manual for civil service aspirants, policy analysts, lawyers, and every conscious voter.

Rather than cluttering the reader’s eye with chaotic, unformatted blocks of raw figures, Who Moved My Vote? coordinates its extensive quantitative research across four beautifully scannable and illuminating thematic pillars: