About Optiqal

What is Optiqal?

Optiqal is a health decision tool that ranks interventions using Quality-Adjusted Life Years (QALYs), Bayesian uncertainty, and profile-aware estimates. The goal is not just to estimate healthspan in the abstract, but to help you compare unlike choices on one explicit scale.

QALYs weight years of life by health quality, where 1 QALY represents one year lived in perfect health. That framework lets Optiqal compare actions that would otherwise be hard to stack against each other, such as sleep, exercise, lipid lowering, and supplements.

Data Sources

Our estimates are built on peer-reviewed research and official statistics:

• CDC Life Tables — U.S. mortality data providing baseline life expectancy by age and sex
• Global Burden of Disease (GBD) 2019 — Risk factor relative risks and population attributable fractions
• Published Meta-Analyses and Trials — Peer-reviewed studies on interventions and health outcomes

Statistical Methods

Optiqal estimates the incremental health impact of interventions against your profile rather than presenting a generic score. We use simulation to propagate uncertainty through the model and show the limits of current research. Weak evidence is handled with priors and shrinkage rather than hard buckets, so fragile claims move closer to zero and carry wider tails instead of being given false precision.

Not medical advice. Our estimates are statistical, not clinical. They show what research suggests for someone with your profile but cannot account for your complete medical history. Discuss health decisions with your doctor.

Open Source

Optiqal is open source. You can view the code, methodology, and contribute on GitHub. We welcome feedback, bug reports, and contributions from the community.