Does The Fear Of Death Drive Everything We Do? - Sheldon Solomon - #240
Sheldon Solomon is a social psychologist at Skidmore College and an author.
Humans are a unique animal in that we are aware of our own mortality. One day we will die, and we know it. This fact has a huge impact on how we live our lives, perhaps it's the most important fact we know.
Expect to learn how Sheldon's experiments have proven that death anxiety is a crucial driver of behaviour, why we can hate somebody for the shape of their nose, how death anxiety causes people to be tribal, what would happen if a child grew up without any human contact and much more...
Sponsor:
Get a 21 Day Free Trial to a supercharged calendar at https://woven.com/podcast/wisdom (discount automatically applied)
Extra Stuff:
Buy The Worm At The Core - https://amzn.to/31VQtRn
Get my free Ultimate Life Hacks List to 10x your daily productivity → https://chriswillx.com/lifehacks/
To support me on Patreon (thank you): https://www.patreon.com/modernwisdom
-
Episodes You Might Enjoy:
This Is How To Master Your Life - David Goggins - #577: lnkfi.re/SN-Goggins
How To Destroy Your Negative Beliefs - Dr Jordan Peterson - #712: lnkfi.re/SN-Peterson
The Secret Tools To Hack Your Brain - Dr Andrew Huberman - #700: lnkfi.re/SN-Huberman
Get in touch.
Join the discussion with me and other like minded listeners in the episode comments on the MW YouTube Channel or message me...
Instagram: https://www.instagram.com/chriswillx
Twitter: https://www.twitter.com/chriswillx
YouTube: https://www.youtube.com/ModernWisdomPodcast
Email: https://www.chriswillx.com/contact
Learn more about your ad choices. Visit megaphone.fm/adchoices
Available Results
Generated results are saved to your library for reuse and search.
Choose Template
Pick the result you want. You can review provider and model before generating.
A concise first-pass summary for understanding the episode quickly.
A comprehensive, source-grounded extraction of the reusable knowledge in an episode.
Technologies, AI models, technical methods, capabilities, limitations, and adoption implications.
Repeatable methods, frameworks, mental models, processes, and systems.
A dedicated analysis of warnings, limitations, trade-offs, weak evidence, and uncertainty.
A dedicated inventory of concrete resources named in the episode.
A concise first-pass summary for understanding the episode quickly.
A detailed readable summary organized by chapter or topic.
A navigable map of subjects, topic flow, and suggested chapters.
A comprehensive, source-grounded extraction of the reusable knowledge in an episode.
Reusable atomic knowledge units extracted from the episode.
A comprehensive extraction focused on health practices, protocols, claims, and safety caveats.
A comprehensive extraction focused on opportunities, strategy, markets, and company building.
Explicit actions, next steps, habits, recommendations, and things to avoid.
A dedicated inventory of concrete resources named in the episode.
A dedicated analysis of warnings, limitations, trade-offs, weak evidence, and uncertainty.
A concise first-pass summary for understanding the episode quickly.
A detailed readable summary organized by chapter or topic.
A navigable map of subjects, topic flow, and suggested chapters.
A comprehensive, source-grounded extraction of the reusable knowledge in an episode.
Reusable atomic knowledge units extracted from the episode.
A comprehensive extraction focused on health practices, protocols, claims, and safety caveats.
A comprehensive extraction focused on opportunities, strategy, markets, and company building.
Scientific findings, mechanisms, studies, hypotheses, and the limits of the evidence discussed.
Technologies, AI models, technical methods, capabilities, limitations, and adoption implications.
Investment theses, assets, catalysts, valuation reasoning, time horizons, and risks.
Chronologies, actors, causes, consequences, turning points, and competing historical interpretations.
Policies, proposals, stakeholders, arguments, implementation constraints, and predicted effects.
Career paths, skills, hiring signals, workplace decisions, transitions, and limitations of the advice.
Behavioral mechanisms, biases, motivation, habits, emotions, interventions, and evidence limitations.
Economic mechanisms, incentives, indicators, market structure, forecasts, and uncertainty.
Leadership principles, team systems, organizational design, culture, feedback, and failure modes.
Audience, positioning, messaging, acquisition, retention, experiments, metrics, and failed approaches.
Teaching methods, learning strategies, practice, feedback, assessment, and effectiveness evidence.
Theses, premises, arguments, objections, values, thought experiments, and unresolved questions.
Communication patterns, conflict, boundaries, expectations, repair methods, and contextual limitations.
Books, papers, authors, courses, and other learning resources mentioned in the episode.
Repeatable methods, frameworks, mental models, processes, and systems.
Explicit actions, next steps, habits, recommendations, and things to avoid.
Memorable statements and important claims with attribution and source context.
A dedicated inventory of concrete resources named in the episode.
A dedicated analysis of warnings, limitations, trade-offs, weak evidence, and uncertainty.