Biomedical Espionage, Einstein’s Eclipse, Transit Of Mercury. Nov. 8, 2019, Part 1
The FBI, National Institutes of Health (NIH), and other agencies who oversee federal research grants are currently asking if the open culture of science in the U.S. is inviting other countries to steal it.
The FBI has been warning since 2016 that researchers could be potentially sending confidential research, and even biological samples, to other countries. On Monday, a report in the New York Times outlined the scale of ongoing investigations: nearly 200 cases of potential intellectual property theft at 71 different institutions.
New York Times health and science reporter Gina Kolata, who broke the story, explains the investigations, and why China is featuring so prominently.
Then, on May 29, 1919, Sir Arthur Eddington and his scientific team photographed the stars during a total solar eclipse. The resulting images displayed stars that seemed slightly out of place—an indication that the mass of the sun had caused starlight to veer off course, as Einstein’s general theory of relativity had predicted. Six months later, on November 6, 1919, Eddington’s team presented their findings before a joint meeting of the Royal Society and the Royal Astronomical Society—and skyrocketed Einstein to worldwide fame.
Science writer Ron Cowen, author of Gravity’s Century: From Einstein’s Eclipse to Images of Black Holes, joins Ira to tell the story.
Watch the Mercury transit! On Monday, November 11th, Mercury will slice a path across the sun—an occurrence that happens only about 13 times a century. These days, it’s fairly easy to observe a transit of Mercury—many local observatories or science centers hold viewing parties. But several centuries ago, transit chasers sailed the globe to observe these relatively rare events, in an effort to use them to calculate the size of the solar system. Find out how you can view the transit.
Researchers are collecting snapshots of Acadia National Park to supplement satellite data on fall leaf colors. Listen and learn more about this citizen science project.
And, the Trump administration has begun a year-long process to exit the agreement—which would complete the day after the next presidential election. Listen to this week's science news roundup.
Subscribe to this podcast. Follow our show on Instagram, TikTok, Facebook, and Bluesky @scifri and sign up for our newsletters. Got a science question that’s keeping you up at night? Call us: 877-472-4374
Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
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.
A comprehensive extraction focused on opportunities, strategy, markets, and company building.
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.