comprehensive-biomarker-baseline
Brian argues that standard health assessments rely on single-tissue or subjective metrics, missing the interplay between systems. By measuring everything, pitfalls become visible: e.g., rapamycin (Rapatha) lowered LDL but raised resting heart rate and reduced HRV, providing a net-negative signal. He uses multiple markers per domain (CRP, TNF-alpha, IL-6 for inflammation) so that 'disease and lack of health has nowhere to hide.' He claims that most people have wild swings—some good, some very bad markers—but achieving uniform optimality across hundreds of metrics is extraordinarily difficult and proves systemic coherence.
He started from a heavily damaged health state and built up to top-tier bone density, sperm count, and epigenetic pace of aging by following this measurement-first method.
We did every single measurement we could find that would give us any kind of insight in terms of the biological age of various things... I became the most measured person in human history.

