In the modern world, truth is no longer scarce—it is overwhelming. Facts, data, expert opinions, and algorithmically curated narratives surround us, yet disagreement, polarization, and poor decisions persist. The problem is not simply what is true, but how truth is filtered, interpreted, weighted, and acted upon when certainty is incomplete and incentives are misaligned.
This talk begins with Anekāntavāda, not as a doctrine of tolerance, but as an early recognition that reality is encountered through partial and conditioned perspectives. It then moves beyond traditional formulations to address a modern gap: understanding the genesis of viewpoints themselves. Perspectives are shaped not only by knowledge, but by education, culture, emotional and mental state, stress, trauma, identity, and increasingly by algorithmic systems that influence what we see and how we think.
Using contemporary examples—from social media narratives and conspiracy thinking to AI-mediated decision systems—the lecture argues that merely considering multiple viewpoints is no longer sufficient. What is needed are new ways to distinguish insight from distortion, to assign proportional weight to perspectives, and to move from abundant facts toward sound judgment and responsible action.
Rather than reinterpreting Anekāntavāda, the talk extends it—proposing a decision- oriented framework for navigating a world where facts are plentiful, but truth, judgment, and action remain contested.
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