Flat Earth vs. Globe Earth — What Does the Evidence Actually Show?

When what we see with our own eyes conflicts with a larger scientific model, what should determine what we believe?Welcome to Crisis in Perception, where we examine the systems shaping our world.This two-host Debate stress-tests the stationary flat-Earth model against the rotating globe-Earth model using six sources spanning flat-Earth advocacy, astronomy, geodesy, skepticism, and research into conspiracy belief.The discussion moves beyond the simple question of whether the Earth is flat. It asks what each model predicts, how those predictions can be measured, what observations would count against each explanation, and what happens when contradictory evidence can always be absorbed into a larger theory of institutional deception.From horizons and water level to Foucault pendulums, stellar observations, geodesy, institutional trust, confirmation bias, and online reinforcement, the episode examines both the physical evidence and the deeper systems governing how people decide what counts as evidence in the first place.Sources used:• Eric Dubay — Flat Earth FAQ• Eric Dubay — The Flat-Earth Conspiracy• Andrew Fraknoi, David Morrison & Sidney C. Wolff — Astronomy 2e (OpenStax)• National Geodetic Survey, NOAA — The Geopotential Surface• Michael Shermer — Why People Believe Weird Things• “I think YouTube’s turning me into a flat earther”: Social media’s role in ex-conspiracy theorists entering and exiting anti-scientific communities — PLOS ONE📺 Watch on YouTube:https://youtu.be/Irt1zlXPkEc❤️ Support / Episode Post on Patreon:https://www.patreon.com/CrisisinPerception/posts/flat-earth-vs-166304590?utm_medium=clipboard_copy&utm_source=copyLink&utm_campaign=postshare_creator&utm_content=join_linkIf these ideas resonate, consider reading the work yourself or borrowing it from your local library. Supporting authors and libraries helps keep critical inquiry accessible.If you value systems-level analysis like this, please follow, rate, and share the project.This content was created using AI-assisted tools for research synthesis, structuring, and narration support. All analysis, framing, and editorial decisions are guided by human judgment as part of the Crisis in Perception project.