Cinema has long been considered the "mirror of society," reflecting the aspirations, anxieties, and cultural nuances of a nation. However, when the reflection consistently distorts specific demographics, it ceases to be a mirror and becomes a tool for socio-psychological engineering. Research conducted by Professor Dhiraj Sharma of IIM Ahmedabad, for the period between 1960 and 2010, provides a startling quantitative look at how Bollywood utilises demographic coding, associating specific castes, religions, and nationalities with fixed moral archetypes. By analysing these data points, it becomes clear that Bollywood often relies on "heuristic shortcuts" that reinforce social biases rather than challenge them. One of the most profound findings in Professor Sharma’s research is the consistent association of moral corruption with specific Hindu caste surnames. > According to the data, in the films sampled, 58% of corrupt politicians were given Brahmin surnames, and 62% of corrupt businessmen were given Vaishya surnames. > Conversely, characters with Kshatriya surnames were presented as courageous 88% of the time. and 84% of Muslim characters were portrayed as strongly religious and honest. This demographic coding creates a subconscious expectation in the audience; the villain is not defined by his actions alone, but by a surname that signals his "type" before the plot even unfolds.
