How Vora Thinks
About Your Data
Health data is messy. Your devices disagree with each other. Measurement methods vary wildly. Most apps ignore this complexity and display raw numbers. Vora was built from the ground up to solve it.
Same night. Three devices. Three answers.
The Data Conflict Problem
Every wearable uses different sensors, algorithms, and sampling rates. When you track with multiple devices, their data inevitably conflicts. Here is what Vora does about it.
Your Devices Disagree. Here is Why That Matters.
Your Apple Watch measures heart rate optically from the wrist with green LEDs. Your Oura Ring does the same from the finger with infrared. Different wavelengths, different vasculature, different motion artifacts. They will never perfectly agree.
Vora does not pick a favorite. It weights each source by measurement context, sensor quality, and time-of-day reliability to produce a reconciled metric that outperforms any single device.
Read the full analysis12 min readHow Accurate Is Your Sleep Data, Really?
Consumer wearables detect total sleep time with 78-91% accuracy compared to clinical polysomnography. That sounds decent until you realize a 10% error on 8 hours is 48 minutes - enough to completely change your recovery assessment.
Each device has predictable failure modes. Oura overestimates sleep for still-but-awake periods. Apple Watch misses brief awakenings. By combining sources and accounting for these biases, Vora reduces total sleep time error to under 12 minutes on average.
Read the full analysis10 min readRHR, HRV, and What Your Wearable Actually Tells You
Heart rate variability is not one metric. RMSSD, SDNN, and pNN50 each capture different aspects of autonomic function. Your Apple Watch reports one, your Oura reports another, and they measure at different times of day with different algorithms.
Vora normalizes across HRV calculation methods and measurement windows to produce a consistent trend. Your resting heart rate is reconciled from overnight continuous monitoring (Oura) and daytime spot checks (Apple Watch) to show genuine fitness trends, not sensor noise.
Read the full analysis10 min read