509. Non-Alcoholic Beers on Tap
Dr. Don and Professor Ben talk about the risks posed by having nonalcoholic beer on tap.
Dr. Don - not risky 👍🏼 Professor Ben - not risky 👍🏼
- Sage on X: "@OlympicTavern Risky or Not, @bugcounter @benjaminchapman?" / X
- Growth and Survival of Foodborne Pathogens in Beer - ScienceDirect
- Survival of Foodborne Pathogenic Bacteria (Bacillus cereus, Escherichia coli O157:H7, Salmonella enterica Serovar Typhimurium, Staphylococcus aureus, and Listeria monocytogenes) and Bacillus cereus Spores in Fermented Alcoholic Beverages (Beer and Refined Rice Wine) - ScienceDirect
- Sci-Hub | Pathogens in Beer. Beer in Health and Disease Prevention, 403–413 | 10.1016/b978-0-12-373891-2.00039-0
- lake effect kid on X: "@MarkLaFaro @bugcounter @benjaminchapman more context / input for a potential episode 👀" / X
- Mitch Steele (@MitchHopTripper) / X
- Mitch Steele - New Realm Brewing Co.
More description
Dr. Don and Professor Ben talk about the risks posed by having nonalcoholic beer on tap.
Dr. Don - not risky 👍🏼 Professor Ben - not risky 👍🏼
- Sage on X: "@OlympicTavern Risky or Not, @bugcounter @benjaminchapman?" / X
- Growth and Survival of Foodborne Pathogens in Beer - ScienceDirect
- Survival of Foodborne Pathogenic Bacteria (Bacillus cereus, Escherichia coli O157:H7, Salmonella enterica Serovar Typhimurium, Staphylococcus aureus, and Listeria monocytogenes) and Bacillus cereus Spores in Fermented Alcoholic Beverages (Beer and Refined Rice Wine) - ScienceDirect
- Sci-Hub | Pathogens in Beer. Beer in Health and Disease Prevention, 403–413 | 10.1016/b978-0-12-373891-2.00039-0
- lake effect kid on X: "@MarkLaFaro @bugcounter @benjaminchapman more context / input for a potential episode 👀" / X
- Mitch Steele (@MitchHopTripper) / X
- Mitch Steele - New Realm Brewing Co.
Listen elsewhere
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.