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 study 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 links to the scientific source, 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.