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How We Know What Isn’t So — Cognitive Bias and the Illusion of Patterns
Welcome to Crisis in Perception, where we examine the systems shaping our world.
This episode explores How We Know What Isn’t So by Thomas Gilovich as a systems-level analysis of how cognitive biases influence belief formation and institutional decision-making.
The episode examines why humans often perceive meaningful patterns in random data, how confirmation bias stabilizes those interpretations, and why questionable beliefs can persist even within professional and scientific communities.
📺 Watch on YouTube:
👉 https://youtu.be/jgv8oD5oRTQ
❤️ Support on Patreon:
👉 https://www.patreon.com/posts/how-we-know-what-152678198?utm_medium=clipboard_copy&utm_source=copyLink&utm_campaign=postshare_creator&utm_content=join_link
Author Support
If these ideas resonate, consider reading the work yourself or borrowing it from your local library. Supporting authors and libraries helps keep critical inquiry accessible.
Call to Action
If you value systems-level analysis like this, please like, subscribe, and comment with books or topics you’d like us to explore next.
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.
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By Crisis in PerceptionWelcome to Crisis in Perception, where we examine the systems shaping our world.
This episode explores How We Know What Isn’t So by Thomas Gilovich as a systems-level analysis of how cognitive biases influence belief formation and institutional decision-making.
The episode examines why humans often perceive meaningful patterns in random data, how confirmation bias stabilizes those interpretations, and why questionable beliefs can persist even within professional and scientific communities.
📺 Watch on YouTube:
👉 https://youtu.be/jgv8oD5oRTQ
❤️ Support on Patreon:
👉 https://www.patreon.com/posts/how-we-know-what-152678198?utm_medium=clipboard_copy&utm_source=copyLink&utm_campaign=postshare_creator&utm_content=join_link
Author Support
If these ideas resonate, consider reading the work yourself or borrowing it from your local library. Supporting authors and libraries helps keep critical inquiry accessible.
Call to Action
If you value systems-level analysis like this, please like, subscribe, and comment with books or topics you’d like us to explore next.
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.