https://cms.megaphone.fm/channel/NPTNI3476656487 en Copyright 2026 Inception Point AI Host Felix Mercer reveals statistical myths misleading scientists and policymakers — from p-value fallacy to big data's hidden traps. Learn how statistical literacy transforms how you evaluate evidence and navigate a world drowning in numbers. For more content like this, visit QuietPlease.ai This content was created in partnership and with the help of Artificial Intelligence AI. https://megaphone.imgix.net/podcasts/bf16037a-4dad-11f1-b6a1-83c9c3642192/image/cd3a9ef36f9ae0d87edaaa51444d8694.jpg?ixlib=rails-4.3.1&max-w=3000&max-h=3000&fit=crop&auto=format,compress https://cms.megaphone.fm/channel/NPTNI3476656487 no episodic Inception Point AI Host Felix Mercer reveals statistical myths misleading scientists and policymakers — from p-value fallacy to big data's hidden traps. Learn how statistical literacy transforms how you evaluate evidence and navigate a world drowning in numbers. For more content like this, visit QuietPlease.ai This content was created in partnership and with the help of Artificial Intelligence AI. Inception Point AI info@inceptionpoint.ai https://player.megaphone.fm/NPTNI2068597586 Join Felix Mercer as he exposes dangerous myths in statistics—from misleading p-values to big data lies. Learn why decisions based on single numbers are quicksand, not solid ground. Discover how to see through statistical smoke screens that fool even scientists. 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. Thu, 16 Apr 2026 21:10:35 -0000 trailer Inception Point AI Join Felix Mercer as he exposes dangerous myths in statistics—from misleading p-values to big data lies. Learn why decisions based on single numbers are quicksand, not solid ground. Discover how to see through statistical smoke screens that fool even scientists. 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. 39 https://player.megaphone.fm/NPTNI8052176535 Felix Mercer examines why relying on p-values alone leads to dangerous decisions in medicine, policy, and business. He demonstrates how p-values, effect size, and confidence intervals must work together to reveal whether research findings are real, meaningful, and reliable. 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. Thu, 16 Apr 2026 21:10:33 -0000 full Inception Point AI Felix Mercer examines why relying on p-values alone leads to dangerous decisions in medicine, policy, and business. He demonstrates how p-values, effect size, and confidence intervals must work together to reveal whether research findings are real, meaningful, and reliable. 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. 2253 https://player.megaphone.fm/NPTNI6226840438 Felix Mercer examines why statistically significant results can be meaningless with large datasets. Using the MythBusters' yawn experiment and medical research examples, this episode reveals how massive samples detect trivial differences. Learn why effect size matters more than p-values for smarter decision-making. 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. Thu, 16 Apr 2026 21:10:27 -0000 full Inception Point AI Felix Mercer examines why statistically significant results can be meaningless with large datasets. Using the MythBusters' yawn experiment and medical research examples, this episode reveals how massive samples detect trivial differences. Learn why effect size matters more than p-values for smarter decision-making. 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. 1897 https://player.megaphone.fm/NPTNI1692494681 Felix Mercer unravels why p-values—the "statistically significant" results at the heart of scientific publishing—are wildly misunderstood. Discover how an arbitrary 0.05 threshold shapes medical treatments, policies, and headlines, why effect sizes matter more than you think, and what the American Statistical Association's rare public warning reveals about modern research's shaky foundation. 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. Thu, 16 Apr 2026 21:10:21 -0000 full Inception Point AI Felix Mercer unravels why p-values—the "statistically significant" results at the heart of scientific publishing—are wildly misunderstood. Discover how an arbitrary 0.05 threshold shapes medical treatments, policies, and headlines, why effect sizes matter more than you think, and what the American Statistical Association's rare public warning reveals about modern research's shaky foundation. 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. 1864