[Q&A] Can ISS Be Recycled, Artificial Meteor Storms, Can Hubble See JWST
In this week's questions and answers show, I explain why most quasars are very far away, consider what would happen if you brought Pluto into the inner Solar System, and deliver the heartbreaking news of why the ISS won't be recycled.
00:00 Start
01:25 [Tatooine] Can quasars appear anywhere in the Universe?
04:35 [Coruscant] What if you brought Pluto into the inner Solar System?
07:13 [Hoth] Why can't the ISS be recycled?
11:22 [Naboo] Why don't we see objects repeating in the Universe?
13:17 [Kamino] What lies beyond the observable universe?
15:54 [Bespin] Could an asteroid push the Earth into the Sun?
18:45 [Mustafar] Are dust storms a threat to Mars settlers?
21:14 [Alderaan] Could a solar gravitational lens help detect technological civilizations?
23:06 [Dagobah] Would an asteroid strike on another planet be a risk to Earth?
23:59 [Yavin] Could the moon of a gas giant be habitable?
25:32 [Mandalore] What do I think about NASA's UAP study?
29:04 [Geonosis] Could you create an artificial meteor storm?
30:22 [Corellia] Where would I like to go in the Milky Way?
33:04 [Crait] Could Hubble look at JWST?
33:46 [Endor] Is anyone working on construction equipment for the Moon?
34:57 [Exegol] Are there aliens on the back side of the Moon?
37:50 [Jedha] What would we learn from a comet sample return mission?
Want to be part of the questions show? Ask a short question on any video on my channel. I gather a bunch up each week and answer them here.
📰 EMAIL NEWSLETTER
Read by 55,000 people every Friday. Written by Fraser. No ads.
Subscribe Free: https://universetoday.com/newsletter
🎧 PODCASTS
Universe Today: https://universetoday.fireside.fm/
Weekly Space Hangout: https://www.youtube.com/channel/UC0-KklSGlCiJDwOPdR2EUcg/
Astronomy Cast: http://www.astronomycast.com/
🤳 OTHER SOCIAL MEDIA
Twitter: https://twitter.com/fcain
Twitter: https://twitter.com/universetoday
Facebook: https://facebook.com/universetoday
Instagram: https://instagram.com/universetoday
📩 CONTACT FRASER
frasercain@gmail.com
⚖️ LICENSE
Creative Commons Attribution 4.0 International (CC BY 4.0)
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.