Episode #606
Randall Carlson
Books mentioned
Fingerprints of the Gods
Mentioned by Randall Carlson · at 00:01:12 · ▶︎ Watch this moment on YouTube (approximate)
Amazon (opens in a new tab; affiliate link) Source: Transcript (podscripts.co)
The Bible
Mentioned by Randall Carlson · at 01:20:17 · ▶︎ Watch this moment on YouTube (approximate)
Amazon (opens in a new tab; affiliate link) Source: Transcript (podscripts.co)
Timaeus and Critias
Mentioned by Randall Carlson · at 01:31:34 · ▶︎ Watch this moment on YouTube (approximate)
Amazon (opens in a new tab; affiliate link) Source: Transcript (podscripts.co)
The Path of the Pole
Mentioned by Randall Carlson · at 01:47:05 · ▶︎ Watch this moment on YouTube (approximate)
Amazon (opens in a new tab; affiliate link) Source: Transcript (podscripts.co)
Rig Veda
Mentioned by Randall Carlson · at 02:33:07 · ▶︎ Watch this moment on YouTube (approximate)
Amazon (opens in a new tab; affiliate link) Source: Transcript (podscripts.co)
Timestamps are segment start times from the podscripts.co transcript of the audio release (includes ad reads), so they may differ from the video by a few minutes.
Randall Carlson, a builder, teacher, and researcher of geometry, geology, and geomythology, discusses evidence for prehistoric climate upheaval, catastrophic flooding, extinction, and the possible disappearance of earlier civilizations. The episode connects Ice Age shifts and a possible Younger Dryas cosmic impact with myths and traditions, then explores sacred geometry, symbolism, psychedelics, planetary change, and speculative ancient extraterrestrial contact.
What they talked about
- Cataclysmic events and lost civilizations
- Graham Hancock's sequel to Fingerprints of the Gods
- Climate change data from Greenland ice cores
- Meltwater pulses and sea level rise
- Mass extinction of Ice Age megafauna
- Younger Dryas impact hypothesis
- Sacred geometry and Masonic symbolism
- Human population crash and civilization reboot
Data last updated · Report a mistake · How it works: mentions are pulled from public transcripts and episode descriptions, partly with AI-assisted extraction, so details and timestamps can be off.