Causal Lens vs Causal

Stop Guessing. Start Discovering. Most health apps tell you what happened, but they rarely tell you why. Causal Lens goes beyond simple charts, using advanced statistical analysis, Causal Inference, to find invisible threads connecting your daily habits to your overall well-being. Do those extra steps today actually decrease your resting heart rate tomorrow? Key Features: The Discovery Engine: Identify which habits actually move the needle. See your "Average Treatment Effect," the real world number representing how one metric influences the other. Connected States: Discover your biological feedback loops. Understand circular relationships, like how better sleep gives you the energy to move, which in turn helps you sleep. Interactive Trends: High Fidelity, smooth charts that allow you to zoom into the details or scroll through years of historical data. Total Privacy: Your health data is yours alone. Our engine runs 100% locally on your iPhone's silicon. No cloud uploads, no external servers, no tracking. Ever. Smart Filtering: Our sparsity filer ensures you only see patterns built on consistent, statistically significant data. No noise, just insights. Finally, we believe that your time and data are personal and valuable. We don't collect any health data and have no servers to store it. This app runs completely on your phone. Also, we don't think apps should be begging for your attention; life is better outside your phone. That is why we have developed this to be fast and easy to read and use, without sending notifications to try and get your attention. Medical Disclaimer: This app provides statistical analysis of historical Apple Health data for informational and educational purposes. Causal Lens is not a medical device. The insights provided are not intended to diagnose, treat, cure, or prevent any disease. Always consult with a qualified healthcare provider before making changes to your health, diet, or exercise routines.

Causal turns Apple Health measurements, quick check-ins, and real-life context into personalized wellness patterns you can inspect. How it works • Connect the Apple Health measurements you choose, including sleep, HRV, resting heart rate, workouts, and other supported measurements • Answer lightweight check-ins for caffeine, stress, exercise, mood, alcohol, and your own custom factors • Add context such as illness, travel, or a schedule change—either alongside a check-in or as an anytime note • Review notes, check-ins, and relevant measurements in a chronological transcript • See evolving coach findings with evidence, uncertainty, limitations, and reversible data exclusions • Mark findings useful or off-base and run low-risk tracking experiments Built for nuance Personal data is messy. Causal compares alternative statistical views, checks whether patterns hold over time, and distinguishes emerging signals from better-supported ones. It describes associations in your own history rather than diagnosing a condition or claiming medical causality. Private and optional • You control each Apple Health permission; Causal writes only supported measurements, reviewed meal nutrition, mindful time, State of Mind, and symptoms you explicitly save • Notes can be stored and viewed without enabling AI analysis • Cloud coach analysis requires explicit consent and can be turned off • Delete your account and associated data from the app Causal is a personal wellness and self-knowledge tool. It does not diagnose, treat, cure, or prevent any medical condition and is not a substitute for professional medical care.