Lab of One — evidence-based biohacking
This series treats the body the same way the rest of Factnetize treats software: as a system you can measure, understand, and improve. The approach is simple — take an intervention with support in the published research (some of it strong, well-replicated evidence, some of it early or preliminary), apply it to a single subject (me), measure the result with bloodwork and wearables, and document what actually changed. No hype, no supplement-of-the-month, no claims that outrun the data.
It’s an honest N=1. That means being upfront about confounders, freezing variables long enough to get clean readings, and treating every blood panel as a decision point rather than a victory lap. Some interventions work, some won’t, and the failures get written down too.
⚠️ A note before you read
This is a personal self-experiment, not medical advice. I’m a 50+ young applying published research to my own body — your physiology, history, and risks are different. Nothing here is a recommendation to start, stop, or change any supplement, medication, or training program. Talk to a qualified doctor before acting on anything you read.
Series overview
- I ditched seed oils — here’s what the research actually says — The peer-reviewed evidence on oxidation, omega-6 ratios, ultra-processed food, and GMO soy — and the practical changes I made in my own kitchen.
- The dangers of fake sugars: what the science really says — Why not all sweeteners are the same, and what the latest research says about cancer, cardiovascular, and cognitive risks across the three types — plus a word on who funds the science.
- Correcting vitamin D deficiency fast — and where I overshot — What actually drives vitamin D absorption, why my target number came from sources that fell apart when I checked them, and how careful execution still took me to 118 ng/mL.
- HRV by age: normal ranges from peer-reviewed research — What the published research actually says about normal HRV values by age and sex, why the decline flattens after 55, and why your wearable’s number will never match the charts.
- How to improve HRV: what worked for me (with data) — Three months of nightly HRV data, an average that climbed from 32 to around 40 ms, and the honest reckoning of which lifestyle changes moved it — including a paradox at 3,400 metres.
- Acetaminophen vs ibuprofen: what painkillers actually do to your body — Why the occasional pill was never the problem, how acetaminophen’s safety margin turns out to be far narrower than ibuprofen’s, and why NAC won’t protect your liver from either.
- Collagen supplements: what actually works, and what I take — Cutting through the marketing to the real evidence — strong for joints, surprising for bone, weak for muscle — plus my own protocol: 5 to 15 g a day with whey and vitamin C around training.
- The minimal health stack, ranked by evidence: an S-to-C tier list — Every supplement in my stack ranked by how strong the human evidence actually is, from S-tier (protein, creatine, vitamin D3 when deficient) down to C-tier, with dose and caveats first and trial details underneath.
- Protein intake by age: how much you really need (and what happens to the rest) — From 0.8 to 2.2 g/kg, why older muscles need more per meal, protein sources ranked by quality, the soy and vegan myths checked, and what actually keeps your gut calm on a high-protein diet.
More parts are in the works. This list grows as new articles are published.
What this series covers
- Sleep and heart-rate variability as primary signals
- A supplement stack chosen on evidence, dose, and form — not branding
- Strength and cardio training, measured against recovery data
- Nutrition and protein as system inputs
- Bloodwork as the checkpoint that validates or kills each decision
New parts are added as they’re published. Bookmark this page to follow along.