Q&A 416: How To Reverse Gray Hair (& Other Beauty Biohacks), The Adrenal Fatigue Myth, The Shocking Beer Exercise Results & Much More!
bengreenfieldfitness.com/416
News Flashes – Follow Ben on Twitter for more…5:00
[5:40] Those who want to lose weight but don’t want to give up their beer will find this study quite compelling: alcohol (especially beer) seems to be OK if you’re doing HIIT training:
[9:05] Alcohol consumption following a workout doesn’t seem to affect the majority of the biological and physical benefits, but cortisol increased, and testosterone and muscle protein synthesis decreased, so long term muscular adaptations could be impaired if alcohol consumption during recovery is consistent: (Alcohol is a well known HGH acting at the GHRH level inhibitor/supressor and it also leads to IGF-1 decrease. Surprising it's not mentioned in the study.) [13:00] Chalk another one up to the life-extending benefits of low-to-moderate alcohol consumption, at least in tiny cocktail swigging rodents [20:45] Israeli firm says Medical marijuana best taken in ‘micro-doses’ (500mcg!) with no high [23:45] An interesting idea: Use your old coffee grounds by drying them, mixing into foods, and then burn more fat by changing your gut biome? Read more
Listener Q&A:
How To Reverse Gray Hair...36:34
The Adrenal Fatigue Myth...55:30
How To Recover From COVID-19...1:07:35
Episode sponsors: Kion Coffee, Organifi, Seed Daily Synbiotic, Paleo Valley
bengreenfieldfitness.com/416
See omnystudio.com/listener for privacy information.
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.
A comprehensive extraction focused on health practices, protocols, claims, and safety caveats.
A dedicated analysis of warnings, limitations, trade-offs, weak evidence, and uncertainty.
Repeatable methods, frameworks, mental models, processes, and systems.
Scientific findings, mechanisms, studies, hypotheses, and the limits of the evidence discussed.
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.