Rendezvous & Living Pre-1840
Thompson describes “rendezvous” camps where participants live with only period-accurate gear (1840 or earlier), disconnect from modern life, and learn traditional skills in a community setting.
Bill Thompson is a retired U.S. Army Chief Warrant Officer and the founder and CEO of Spartan Forge, a company that develops AI-powered mapping and predictive tools for hunting.www.youtube.com/@spartanforgeaiwww.spartanforge.ai Perplexity: Download the app or ask Perplexity anything at https://pplx.ai/rogan. Visit https://ketone.com/Rogan for 30% OFF, or find Ketone-IQ at Target nationwide. Visit https://ThreatLocker.com/JRE to learn more Learn more about your ad choices. Visit podcastchoices.com/adchoices
Thompson describes “rendezvous” camps where participants live with only period-accurate gear (1840 or earlier), disconnect from modern life, and learn traditional skills in a community setting.
He gifts Rogan a custom knife built from an antique blade and handmade materials, explaining the historically accurate construction (bear jaw handle, quillwork, brain-tanned hides, animal hair, bear teeth) and the personal meaning behind it.
Thompson explains brain tanning as a traditional method that softens hides using an animal’s own brain mixed with water, repeated soaking and stretching, producing supple leather without modern chemicals.
He contrasts casual rendezvous with “juried” events that strictly inspect materials and stitching for period accuracy, sometimes requiring participants to pack gear in by mule and hunt only with traditional methods.
He recounts camp names, gambling tents, cooking methods, limited showers, and the psychological reset of spending weeks without phones, news, or modern stressors.
Thompson argues modern society lacks structured rites of passage for young men; he credits mentorship, martial arts, and especially the military for imposing standards, responsibility, and discipline.
He criticizes the normalization of divorce in late-20th-century culture, emphasizing the harms to children and the increased risk of abuse in some remarriage/step-parent situations.
Thompson rejects rigid ideological identities, arguing beliefs should update with evidence and outcomes; he critiques “team politics” that pressures people to adopt illogical positions to avoid ostracism.
He claims excessive institutional empathy can become self-serving and destructive, pointing to crime and homelessness policy failures as examples where rules and accountability still matter.
Drawing from military advising experience, he says bureaucracies optimize for budget growth and spending rather than mission outcomes; they discuss how fraud and government spending can distort GDP and incentives.
He frames Trump as an outsider used to disrupt corrupt systems (like Western antiheroes), noting such figures often end poorly historically, and expresses mixed views on outcomes versus rhetoric.
Thompson criticizes “woke” training and equal-opportunity policies he says became weaponized (intent vs impact), arguing meritocracy is essential for national security and military effectiveness.
He outlines his career path from radar and communications intelligence to building early cyber capabilities, mobile/device forensics, and using seized media to generate rapid follow-on operations.
He describes lesser-known U.S. counterinsurgency efforts in the southern Philippines (Mindanao/Sulu area), emphasizing the region’s beauty, local partners, and links to broader terrorist networks.
They discuss Pegasus-style exploits, supply-chain/backdoor risks in foreign telecom gear, and the practical limits of “unhackable” phones; Thompson favors threat-modeling and making oneself a harder target.
Thompson argues big platforms monetize users via data collection and use photos/behavior to train AI; he recommends using LLMs to read terms of service and understand what data rights are being granted.
He prefers Android for openness and inspectability, discusses rooting/bootloaders and privacy-focused OS options like GrapheneOS, and suggests basic hardening ideas (e.g., secure routing/VPN, cautious account recovery answers).
Thompson argues structural changes (notably direct election of senators) weakened state power, increased federal centralization, amplified party funding influence, and reduced local “policy experiments” the founders intended.
He praises open discussion as a way to test and discard flawed ideas without societal harm, warning against censorship and narrative enforcement that prevents honest error-correction.
He disputes claims that today’s models constitute AGI, framing neural networks as powerful math and “projected consciousness” without intrinsic values or true knowing; he suggests this is a deeper debate for a future conversation.