A deep dive into a study on wild house mice in a Swiss barn, revealing a surprisingly stable social structure.

Researchers used RFID tracking to observe dynamic communities that persist over seasons, even outliving individual mice. These communities exhibit fission-fusion dynamics, splitting in summer and re-merging in winter. Crucially, the study highlights that female-female interactions are the primary drivers of this long-term community stability, a finding that challenges previous assumptions about dominant males.

Disclaimer: This podcast was generated by an AI.

You can find the original paper that inspired this discussion here: https://doi.org/10.1101/2020.02.24.963512

Join us for a deep dive into one of physics' most pivotal experiments: The Michelson-Morley experiment.

In the late 19th century, scientists sought to detect Earth's motion through an invisible "luminiferous ether" using the Michelson-Morley interferometer. Their meticulous experiment yielded a null result. They found no significant displacement of light, profoundly demonstrating the power of nothing – the monumental success of a negative scientific finding. This absence of an ether wind challenged established theories and laid crucial groundwork for Einstein's theory of relativity, fundamentally altering our understanding of space and time.Disclaimer: This podcast description was generated by an AI.

You can find the original paper that inspired this discussion here: https://history.aip.org/exhibits/gap/PDF/michelson.pdf

Step into a chilling scientific saga with us as we explore the infamous "Death squared" experiment, famously known as Universe 25. In this deep dive, we revisit John B. Calhoun's groundbreaking (and disturbing) research on mouse populations, revealing what happens when a community faces limitless resources but finite space. Discover the surprising social and behavioral collapse that unfolded as density spiraled, offering stark lessons about overcrowding, stress, and the very fabric of society.

Disclaimer: This podcast description is AI-generated.

For more on the original research, you can explore: https://journals.sagepub.com/doi/abs/10.1177/00359157730661p202