301: When Orb Witnesses Die
Also this week, we are launching a brand new section on the membership website called "Overtime!" While I was having my conversation with Michael, it became clear that our conversation was nowhere near finished after the first hour of the show. We continued for another hour, creating the very first “Overtime!” segment. In this new special feature, we polish off the conversation about Michael’s UFO experiences, and then dive into a strange occurrence on his property: After his dog had puppies, Michael would come home to find some of them missing. Every time, he would go looking for them in the woods only to find them, in different locations, lying next to a pile of sawdust and mushrooms. He and I venture into what was happening and shed some light on the situation!
BECOME A MEMBER AND GET ADDITIONAL SHOWS: https://www.theconfessionalspodcast.com/join
Sponsors:
GET GREEN CHEF: greenchef.com/tony80
GET SIMPLISAFE TODAY: https://simplisafe.com/confessionals
Get Emergency Food Supplies: http://www.preparewiththeconfessionals.com
Get Beard Oil: https://bit.ly/2FbOhN5
Connect With Us:
Website: www.theconfessionalspodcast.com
Email: theconfessionalspodcast@gmail.com Subscribe to the Newsletter: https://www.theconfessionalspodcast.com/the-newsletter
Social Media:
Subscribe to our YouTube: https://bit.ly/2TlREaI Show Instagram: theconfessionalspodcast
Tony's NEW Instagram: rage_against_dystopia
Facebook: www.facebook.com/TheConfessionalsPodcast Twitter: @TConfessionals Tony's Twitter: @tony_merkel
Show Intro: Show Intro INSTRUMENTAL: www.youtube.com/watch?v=kyub39AXxUw Show Intro FREE DOWNLOAD: https://bit.ly/2HxNcw3
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.