Habit Association Patterns (Premium)

Habit Association Patterns helps you review relationships between the habits you logged and Balance. It shows associations in everyday observational records; it does not prove that a habit worked or caused an effect.

Detailed proprietary processing and display rules are not public.

What does N-of-1 mean?

N-of-1 is an approach that compares conditions within one person. It can focus attention on your own record instead of assuming that a population average applies directly to you.

Feelmo's everyday record is not a formal N-of-1 trial. A causal experiment would require design features such as randomized intervention order, controlled comparison conditions, and a prespecified analysis. Those conditions are not fully controlled in an app look-back.

Why is association different from cause?

Weather, workload, sleep, and other conditions can overlap with a habit record. A third factor related to both the habit and the displayed association is called a confounder.

Also remember that:

• logs can be missing or inaccurate;
• weekdays, seasons, health, medication, and plans overlap;
• reviewing many habits makes chance differences easier to find; and
• a past association may not continue in the future.

How should I read a result?

1. Treat it as a question for further observation, not “worked” or “did not work.”
2. Review how you actually felt and any optional notes as well as Balance.
3. Do not make a major health, treatment, or lifestyle change from one display.
4. If you try a change, keep it practical and consider changing one thing at a time.

Balance is an in-product display that uses proprietary on-device processing to summarize HRV-derived information available through Apple Watch / HealthKit and patterns in your own past. It does not directly measure autonomic function, emotion, fatigue, recovery, or health.

Related pages

• Wellbeing and habits
• Balance
• Breathing
• Feelmo Premium