Bite-sized, two-host deep dives into the research papers behind the headlines. Each episode takes one new study — physics, biology, AI, the cosmos — and turns it into a clear, curious conversation you can follow without a PhD.
Science Bytes
Claim This Podcastby Lance Pickens
5.0(2 reviews)
34 episodes
Updated Daily
Accepts GuestsHas Sponsors
Podcast Overview
Bite-sized, two-host deep dives into the research papers behind the headlines. Each episode takes one new study — physics, biology, AI, the cosmos — and turns it into a clear, curious conversation you can follow without a PhD.
Language
🇺🇲
Publishing Since
5/16/2026
1 verified contact email on file for Science Bytes
Pitch yourself as a guest, propose sponsorships, or reach out directly to the host.
Recent Episodes
July 16, 2026
Dyson Spheres Around Dying Stars: Where to Look on the H–R Diagram
What would an alien Dyson sphere — a shell built to capture a star's entire energy output — actually look like to our telescopes? A single-author study by Amirnezam Amiri models the infrared signatures of these hypothetical megastructures around two often-overlooked host stars: cooling white dwarfs and small, long-lived red M-dwarfs. Hosts Hope and Lauren walk through the radiative-balance argument — why a sphere's equilibrium temperature falls off as the inverse square root of its radius while the star's total luminosity stays fixed, so the intercepted energy simply re-emerges at longer, cooler wavelengths. Placing these objects on the Hertzsprung–Russell diagram turns a science-fiction trope into a concrete observational target: a faint infrared blackbody sitting where no natural star should be. The upshot is that the best place to catch a technosignature may be around the galaxy's dimmest, most durable stars. This episode was generated by AI from the cited research paper.
July 13, 2026
Tracking Human Evolution Through 15,000 Ancient Genomes
For the last ten thousand years, human evolution has been running on overdrive to keep up with massive lifestyle changes like farming. By analyzing over 15,000 ancient genomes alongside modern DNA, researchers mapped a giant genetic relationship matrix to separate true Darwinian selection from the noise of migration. This massive dataset reveals hundreds of specific genetic variants that underwent strong directional selection, allowing us to watch West Eurasians adapt in real time. This episode was generated by AI from the cited research paper.
July 10, 2026
The Lizard, the Hormone, and the Drugs That Ate the World: A GLP-1 Explainer
How a desert lizard's venom became the best-selling medicines on Earth. We trace the science of GLP-1 receptor agonists from 1990 — when endocrinologist John Eng isolated exendin-4 from Gila monster venom, a hormone that mimics human GLP-1 but lasts hours instead of two minutes — through the drug lineage it spawned: exenatide (Byetta), liraglutide, semaglutide (Ozempic/Wegovy), the dual GIP/GLP-1 agonist tirzepatide (Mounjaro/Zepbound), and the triple agonist retatrutide. Hosts Hope and Lauren unpack the incretin biology and the decades-long "half-life arms race," how each generation pushed diabetes control and weight loss further, and the delightful surprises now emerging in the clinic — cardiovascular protection (SELECT), chronic kidney disease, obstructive sleep apnea, fatty-liver disease, and early signals in cravings and the aging brain — alongside the very real GI side effects that come with them. This episode was generated by AI from the cited research paper.
34 total episodes available
Deep-dive analytics for Science Bytes
Frequently asked questions
Have a different question and can't find the answer you're looking for? Reach out to our support team by sending us an email and we'll get back to you as soon as we can.
- What is Science Bytes?
- How often does this podcast release new episodes?
This podcast updates daily.
- Where can I listen to this podcast?
This podcast is available on 4 platforms including Apple Podcasts, Spotify, and more. You can also use the RSS feed directly.
- Does this podcast accept guests?
No, this podcast does not typically feature guests.
Legal Disclaimer
Pod Engine is not affiliated with, endorsed by, or officially connected with any of the podcasts displayed on this platform. We operate independently as a podcast discovery and analytics service.
All podcast artwork, thumbnails, and content displayed on this page are the property of their respective owners and are protected by applicable copyright laws. This includes, but is not limited to, podcast cover art, episode artwork, show descriptions, episode titles, transcripts, audio snippets, and any other content originating from the podcast creators or their licensors.
We display this content under fair use principles and/or implied license for the purpose of podcast discovery, information, and commentary. We make no claim of ownership over any podcast content, artwork, or related materials shown on this platform. All trademarks, service marks, and trade names are the property of their respective owners.
While we strive to ensure all content usage is properly authorized, if you are a rights holder and believe your content is being used inappropriately or without proper authorization, please contact us immediately at hey@podengine.ai for prompt review and appropriate action, which may include content removal or proper attribution.
By accessing and using this platform, you acknowledge and agree to respect all applicable copyright laws and intellectual property rights of content owners. Any unauthorized reproduction, distribution, or commercial use of the content displayed on this platform is strictly prohibited.