Welcome to Crisis in Perception, where we examine the systems shaping our world.
Author: Scientific American Editors
This episode explores Scientific American: Post-Truth Science as a systems-level analysis of how cognitive bias, ideological identity, and institutional incentives influence belief, public discourse, and scientific understanding.
By focusing on incentive architecture rather than personalities or isolated controversies, the episode shows why post-truth systems persist — and how they connect to larger media, political, technological, and economic structures.
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AI Use Disclosure
This content was created using AI-assisted tools for research synthesis, structuring, and narration support. All analysis, framing, and editorial decisions are guided by human judgment as part of the Crisis in Perception project.