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Biohacking Risk Ledger
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# Biohacking Risk Ledger Portal: Biohacking & Risk Stage: Practice framework Evidence: Clinical practice Template: Practice framework Risk: Low Reversibility: Reversible Last reviewed: Jun 2026 == Summary == Self-experimentation should be judged by reversibility, measurement quality, downside planning, and evidence strength. == Key takeaways == * A protocol is not serious unless it defines what would make it stop. * Low-risk measurement habits beat high-risk interventions with vague endpoints. * Community anecdotes are useful for hypotheses, not proof. == Risk model == Useful self-experimentation starts with reversible actions, clear baselines, and pre-defined stop conditions. The higher the intervention risk, the stronger the evidence and supervision should be. A risk ledger records expected benefit, plausible harms, monitoring plan, confounders, and what independent evidence would change the decision. == Common failure modes == Biohacking often fails through measurement noise, stack complexity, survivorship bias, or confusing short-term stimulation with long-term resilience. The safest culture rewards boring controls: sleep, nutrition quality, resistance training, clinical screening, and careful interpretation before exotic tools. == Watchlist == * Adverse-event logs * Clinical oversight * Wearable data drift * Stack interactions == References == * N-of-1 reporting standards — CONSORT extension for N-of-1 trials, 2015. https://pubmed.ncbi.nlm.nih.gov/26272792/. Use for crossover design, reporting, and individual-response evidence quality. * Human research ethics baseline — World Medical Association Declaration of Helsinki. https://www.wma.net/policies-post/wma-declaration-of-helsinki/. Use for risk-benefit review, consent, monitoring, and participant protection framing. == Categories == [[Category:Biohacking & Risk]] [[Category:self-experimentation]] [[Category:safety]] [[Category:ethics]]