Orange Bat, Greenland Bacteria, COVID Anniversary, Alien Argument. Jan 22, 2021, Part 2
Orange Is The New Black—For Bats
For a newly-described bat from West Africa, dubbed Myotis nimbaensis (mouse-eared bat from the Nimba Mountains), scientists are reaching for a different part of the color wheel. While Myotis does have some black on its body, the overwhelming majority of the bat’s fur is bright orange.
A team of scientists from the American Museum of Natural History and Bat Conservation International stumbled on the new species while surveying populations of another endangered bat in the Nimba Mountains. It lives in abandoned mine tunnels in the northern part of the mountain range. As those aging tunnels are beginning to collapse, the researchers are working to build new bat-tunnels to help preserve the threatened species.
Winifred Frick, chief scientist of Bat Conservation International, joins SciFri director Charles Bergquist to discuss the new species, and what’s being done to help protect it.
Greenland’s Microbial Melt-DownThe Greenland ice sheet covers nearly 700,000 square miles—three times the size of Texas. The ice sheet is estimated to have lost nearly 4 trillion tons of ice in the past three decades. A team of researchers recently investigated how the bacteria in the sediments on the ice sheet could be contributing to the melting of the ice. Their results were published in the journal Geophysical Research Letters.
Producer Alexa Lim talks to glaciology Asa Rennermalm about how the mix of bacteria and sediments can darken the ice, impacting how the ice sheet melts.
Life Of A Coronavirus Scientist During A PandemicUnfortunately, we’ve arrived at a grim pandemic milestone: One full year of a global health crisis. The first COVID-19 cases were reported in December 2019 by the Wuhan Municipal Health Commission.
Last spring, we talked with three coronavirus researchers—Matthew Frieman, Andrea Pruijssers, and Lisa Gralinski—who discussed what the pandemic was like for them, including working in a BSL3 biosafety lab, and how their lives, and research, had been impacted.
Ira checks back in with one of them, Matthew Frieman, to reflect on his experience in the last year, and what he expects for the coming year.
Searching For Extraterrestrial Life Like ‘Sherlock Holmes’Back in October 2017, our solar system received a strange visitor, unlike any seen before. Scientists couldn’t decide if it was an asteroid, a comet, or an ice chunk. To this day, it’s simply classified as an “interstellar object,” dubbed ‘Oumuamua.’
For his part, Harvard astrophysicist Ari Loeb is pretty sure what it is. It’s so hard to classify, he reasons, because it’s a byproduct of intelligent life outside our solar system. But how it found its way here is anyone’s guess.
In his new book Extraterrestrial: The First Sign of Intelligent Life Beyond Earth, Loeb wants you to take the possibility of aliens seriously. He joins Ira to talk about his theory, how an early love of philosophy shaped his views as an astrophysicist, and why searching for extraterrestrial life is a little like being Sherlock Holmes.
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.