The Lab Log
A public, dated record of what the lab is actually doing. Progress, learnings, and failures — all of it.
Cryptocurrency support announced
The support page now offers a cryptocurrency option: Ethereum, Solana, Monero, Dogecoin, and USDC are being set up, with Bitcoin support to follow. Verified wallet addresses are being prepared — until they are live the options show as "Available soon," and no funds should be sent yet. Every contribution will be recorded in the annual transparency report, like every other form of support.
Causal aging model reaches v0.9
The causal graph now spans all twelve hallmarks of aging with explicit interaction edges and confidence scores. Next: systematic sensitivity analysis against independent datasets before we claim any edge is "validated."
Literature intelligence pipeline hits 1,200 papers
Our AI knowledge base has indexed and structured 1,200+ peer-reviewed papers on aging and longevity. Every claim we make in our own writing is traced to a source in this graph — we want to be able to show our work.
In-silico series: senescence clearance
Completed a 9,400-simulation series on clearance of senescent cells in a computational tissue model. Result: the "which cells to clear" question matters as much as "how." Write-up in progress; expected on the lab log next month.
Research ethics framework drafted
We adopted a non-invasive-first ethics framework: no intervention study begins without independent review, no participant data leaves their control without explicit consent, and human studies are always the last step — not the first.
Non-invasive biomarker catalog launched
Cataloged the evidence base for early-disease signals in wearables, routine blood panels, and standard imaging. This becomes the foundation for our observational study design — to be opened to waitlist members when ready.
What we got wrong: biomarker hype check
We flagged five widely marketed "aging biomarkers" as insufficiently validated after tracing their evidence. None of them are used in our models. This is the kind of finding we will publish openly — the field needs fewer marketing claims.
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