Episode #913
Christopher Ryan
Books mentioned
At Play in the Fields of the Lord
Mentioned by Joe Rogan (host) · at 00:14:40
Amazon (opens in a new tab; affiliate link) Source: Transcript (podscripts.co)
Sex at Dawn
Mentioned by Joe Rogan (host) · at 00:26:19
Amazon (opens in a new tab; affiliate link) Source: Official episode description (podcast RSS) · Transcript (podscripts.co)
The Vegetarian Myth
Mentioned by Joe Rogan (host) · at 01:15:53
Amazon (opens in a new tab; affiliate link) Source: Transcript (podscripts.co)
The Omnivore's Dilemma
Mentioned by Joe Rogan (host) · at 01:18:18
Amazon (opens in a new tab; affiliate link) Source: Transcript (podscripts.co)
Silent Spring
Mentioned by Joe Rogan (host) · at 01:21:30
Amazon (opens in a new tab; affiliate link) Source: Transcript (podscripts.co)
Born to Run
Mentioned by Joe Rogan (host) · at 02:07:46
Amazon (opens in a new tab; affiliate link) Source: Transcript (podscripts.co)
One River
Mentioned by Christopher Ryan · at 02:27:23
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.
Christopher Ryan, a psychologist and author of Sex at Dawn, joins Joe Rogan for a wide-ranging conversation about psychedelics, conspiracy theories, technology, environmental risk, and human history. They also discuss food and animal welfare, UFC broadcasting, health, abortion, relationship dynamics, kink, ethnobotanist Wade Davis, and Indigenous experiences with hallucinogens.
What they talked about
- Alex Jones podcast experience
- Nuclear waste and diamond batteries
- Technology as a larval stage of humanity
- Film plot about a man going back in time to save indigenous people
- Ancient Amazonian structures discovered by drones
- Processing grief through laughter
- Psychedelic experiences with McKenna and 5-MeO-DMT
- Hunting, killing pigs, and lab-grown meat
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.






