Meta-analysis & systematic review
Pooled RCTs — the most robust evidence we can find in biohacking topics. Examples: creatine monohydrate for strength output, NMN for plasma NAD+ levels.
Over 200 books carry the “biohacking” label. Few are worth their cover price. Here is the honest selection: what is worth reading by evidence-based standards, what works as a popular-science synthesis, and what to skip.
**Peter Attia — “Outlive” (2023):** The currently best popular-science biohacking/longevity book. Attia is an internist with a Stanford background, the book is methodologically clean, with clear evidence disclaimers and no brand bias. Focus: ApoB, insulin resistance, strength training (“Centenarian Olympics”), sleep. If you only read one book, read this. **Stacy Sims — “Roar” and “Next Level” (2016 / 2022):** The standard reference for women in sport. Sims is a sport physiologist (Stanford, AUT University), covering cycle, perimenopause and menopause with study references. “Roar” for menstruating athletes, “Next Level” for perimenopause/menopause. Required reading for any seriously training woman. **Dale Bredesen — “The End of Alzheimer's” (2017):** Controversial but methodologically serious. Bredesen (UCLA) outlines a multi-system protocol (ReCODE) for early-stage cognitive deficits. RCT evidence is still thin, but the book is intellectually honest about limitations — and the lifestyle part (sleep, exercise, insulin sensitivity, heavy metals) is evidence-based.
**David Sinclair — “Lifespan” (2019):** Sinclair (Harvard) delivers a popular-science tour through longevity research. Strong: Hallmarks of Aging, sirtuins, NAD+. Weak: NMN recommendations without sufficient human study basis (Sinclair is co-founder of Sirtris, openly declared but felt in tone). Worth reading with skepticism, not as a stack manual. **Robert Lustig — “Metabolical” (2021):** Lustig (UCSF) is the most scientifically grounded anti-sugar author. Focus: fructose metabolism, insulin resistance, processed-food industry. The book is polemic but scientifically solid. Anyone serious about metabolic optimization should know it. **Matthew Walker — “Why We Sleep” (2017):** Walker (Berkeley) delivers the popular sleep synthesis. Caution: Alexey Guzey and others have documented methodological errors (overblown mortality claims). Still the best introduction to sleep physiology — if you read the statistical caveats alongside.
**Dave Asprey — “The Bulletproof Diet” and successors (from 2014):** Asprey popularized the term “biohacking” — but his books are aggressive self-marketing for Bulletproof products (MCT oil, Brain Octane, supplements). Often scientifically overstretched. Anyone reading him should activate the marketing filter. **Tim Ferriss — “The 4-Hour Body” (2010):** Ferriss is a great storyteller, but “4-Hour Body” is an anecdote collection with occasional study references. Inspirational, not citable. His podcast “The Tim Ferriss Show” is more substantive because guests carry the content. **Joe Dispenza, Anthony William, Mark Hyman in non-evidence-based modes:** Authors with significant reach but methodologically problematic. “Medical Medium” (William) is outside evidence-based medicine. Hyman is clinically experienced, but functional medicine sometimes moves beyond classic RCT standards.
**On sleep:** Walker “Why We Sleep” (with statistical caveats), Russell Foster “Life Time” (2022, circadian rhythms), Nick Littlehales “Sleep” (practical sleep-coach approach). **On nutrition and metabolism:** Lustig “Metabolical” (best for the science), Jason Fung “The Obesity Code” (2016, good insulin theory, critical view of standard diet advice), and Layne Norton's peer-reviewed reviews online. **On hormones and longevity for women:** Sims is the gold standard, Mary Claire Haver's “The New Menopause” (2024) for perimenopause-specific protocols, Lisa Mosconi “The XX Brain” for women's brain health. **Avoid:** books that sell a single stack as a universal solution, books with affiliate-heavy lists in the back, books without clear study references. If a book covers 300 pages without naming PubMed IDs, it is lifestyle content — not biohacking.
Evidence, not hallucination
Evidence-based biohacking means every claim about sleep, supplements, longevity or performance stands or falls with the study it cites. Biohacking AI makes that study trail visible — with clickable PubMed links, transparent evidence tiers and honest labeling where research is still thin. Every biohacker should know whether they're following a meta-analysis or a mouse paper.
Pooled RCTs — the most robust evidence we can find in biohacking topics. Examples: creatine monohydrate for strength output, NMN for plasma NAD+ levels.
Gold standard for single studies. Causal claims are possible, but effect sizes vary widely. Examples: magnesium for cramps, ashwagandha for cortisol-driven stress.
Large population data, but no causality — useful hypothesis generators. Examples: vitamin D levels and mortality, sleep duration and dementia risk.
Plausibility yes, clinical proof no. We label this transparently so no one reads a mouse result as "proven." Examples: peptides like BPC-157, red-light therapy at the cell level.
Those four tiers underpin every answer on the platform — no study is cited without a tier label, and when the evidence is thin the AI says so openly.
The AI gives you the answer to your concrete question in seconds — with study reference, instead of reading 400 pages and only then having to search for the studies.