Capability
Capability first.
Bayesian statisticians, computational physicists, decision theorists, ML engineers — people from climate research, epidemiology, quantitative finance.
We measure success in calibration and ruin protection: every forecast is timestamped, checked against real-world outcomes over time through a transparent dual ledger.
We publish research. We prefer contestable, verifiable models to black boxes accepted with eyes closed.
Bayesian statistics
Explicit uncertainty, continuous updating, honest error bounds.
Computational physics
Causal simulation of complex systems at useful scale.
Decision theory
Steadfast choices and systemic ruin risk minimization under uncertainty.
Machine learning
World models and fragility representations calibratable against reality.