Calibration over confidence.
Every call logged, scored, and left to age in public. On the diagonal, your 70%s come true 70% of the time.
Post coming soonPrior odds. Posterior work.
I'm Elvis Liu — recovering internal auditor, now risk and forecasting. I build small self-hosted systems and treat prediction markets as the lens for everything.
The chart
Start from a wide guess, let each flip move it, then reveal the truth and see if your range caught it.
Before any evidence: a wide prior, centred on a fair coin.
Every call logged, scored, and left to age in public. On the diagonal, your 70%s come true 70% of the time.
Post coming soonData, AI safety, and accounting — each taught through one story, every number checked.
Learn moreA private notebook, a forecasting brain, a chat gateway. No SaaS bill, no tracking.
Post coming soonPrediction markets as a lens: the world as live probabilities. Risk control, but for everything.
Post coming soonClaude Code as a teammate — tools, loops and harnesses that do real work.
Post coming soonNot louder. Better calibrated.
A loud take is worthless if your 70%s only land half the time.
Every call gets a number, a date, and nowhere to hide.
Own the tools and the data. No SaaS between me and the work.
Update when the world pushes back, not when it feels good.
A scoreboard only counts if you can't quietly edit it later.
English · 中文 Steeped in Data Data analysis, pipelines and A/B testing — one case to solve, with live SQL in your browser. Find the missing 12%, and learn the craft on the way. Read now
English · 中文 Inside the Guardrails How today's AI models are made safe — one fictional lab, a small real model, every number measured. Keep one secret for six weeks, and learn how AI safety works. Read now 中文 · Parts I–IV One Ledger China's six CPA exam subjects and financial analysis as one subject, taught through one fictional company. The prologue and Parts I–IV (to Ch 101) are online, updated for the 2027 exams. Read now All of it self-hosted. No SaaS between me and the work.
Featured priors, prior → posterior over seven days. The gap is the lesson, and it's left to age.
Working on forecasting, risk, or self-hosted AI? I like a good prior and a sharper posterior.