The Germ Theory of Disease
Everything Everywhere Daily: History, Science, Geography & More
For thousands of years, many theories have been put forward as to the cause of communicable diseases.
These theories ranged from the religious to the magical and sometimes quasiscientific, but what they all had in common was that there was no proof for anything.
Over the centuries these theories became dogma and often prevented a better understanding of diseases. It wasn’t until the 19th century that we got a clear picture of what the cause actually was.
Learn more about the germ theory of disease and why it took so long to recognize on this episode of Everything Everywhere Daily.
Sponsors
- Available nationally, look for a bottle of Heaven Hill Bottled-in-Bond at your local store. Find out more at heavenhilldistillery.com/hh-bottled-in-bond.php
- Sign up today at butcherbox.com/daily and use code daily to choose your free offer and get $20 off.
- Visit BetterHelp.com/everywhere today to get 10% off your first month.
- Use the code EverythingEverywhere for a 20% discount on a subscription at Newspapers.com.
- Visit meminto.com and get 15% off with code EED15.
- Listen to Expedition Unknown wherever you get your podcasts.
- Get started with a $13 trial set for just $3 at harrys.com/EVERYTHING.
Subscribe to the podcast!
https://link.chtbl.com/EverythingEverywhere?sid=ShowNotes
--------------------------------
Executive Producer: Charles Daniel
Associate Producers: Ben Long & Cameron Kieffer
Become a supporter on Patreon: https://www.patreon.com/everythingeverywhere
Update your podcast app at newpodcastapps.com
Discord Server: https://discord.gg/UkRUJFh
Instagram: https://www.instagram.com/everythingeverywhere/
Facebook Group: https://www.facebook.com/groups/everythingeverywheredaily
Twitter: https://twitter.com/everywheretrip
Website: https://everything-everywhere.com/
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.
Scientific findings, mechanisms, studies, hypotheses, and the limits of the evidence discussed.
A dedicated analysis of warnings, limitations, trade-offs, weak evidence, and uncertainty.
Memorable statements and important claims with attribution and source context.
Technologies, AI models, technical methods, capabilities, limitations, and adoption implications.
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.