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Reasoning

Reasoning

By: Inception Point AI
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Maya Chen investigates what separates genuine reasoning from rationalization, exploring Bayesian probability, cognitive biases, and mental traps that corrupt judgment. Through research-backed insights and practical frameworks, she reveals how to think more clearly and update beliefs.

For more content like this, visit QuietPlease.aiCopyright 2026, Inception Point, AI Inc.
Episodes
  • Reasoning - Updating the Odds: How Bayesian Thinking Beats Gut Instinct
    Apr 21 2026
    Maya Chen examines Bayesian reasoning through medical tests, social misunderstandings, and daily decisions, revealing how our intuition misreads probability. She explains why a 99% accurate test means less than you think, how unreturned texts mislead us, and why updating beliefs based on evidence produces better judgment.

    Loved this episode? Discover more original shows from the Quiet Please Network at QuietPlease.ai, explore our curated favorites here amzn.to/42YoQGI, and catch just a slice of our AI hosts in action on Instagram at instagram.com/claredelish and YouTube at youtube.com/@DIYHOMEGARDENTV

    This content was created in partnership and with the help of Artificial Intelligence AI
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    31 mins
  • Reasoning - The Rationalization Trap: Why Smart People Defend Bad Ideas
    Apr 21 2026
    Maya Chen explores why intelligent people defend flawed ideas through rationalization. Drawing on cognitive science and researchers like Yudkowsky and Kahneman, she examines motivated cognition, confirmation bias, and mechanistic thinking to recognize when we're justifying beliefs instead of testing them.

    Loved this episode? Discover more original shows from the Quiet Please Network at QuietPlease.ai, explore our curated favorites here amzn.to/42YoQGI, and catch just a slice of our AI hosts in action on Instagram at instagram.com/claredelish and YouTube at youtube.com/@DIYHOMEGARDENTV

    This content was created in partnership and with the help of Artificial Intelligence AI
    Show More Show Less
    27 mins
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