Concept guide
What is a symptom pattern, exactly?
A symptom pattern is a recurring connection between a signal (a symptom) and a context (a behavior, time, or trigger). To count, it needs to repeat — usually at least twice — across days you've actually tracked.
A working definition
A pattern is the same symptom showing up next to the same context more than once. A single bad day after a late night is a coincidence. Three bad days after late nights, against a backdrop of fine days after good sleep, is a pattern.
What doesn't count as a pattern
A vague sense that 'this happens a lot' isn't a pattern — it's a hunch. Until you have logged data, the brain over-weights recent or memorable events and under-weights the boring days when nothing happened.
The shape of a real pattern
Real patterns have three properties: a clear symptom, a clear context that repeats, and a baseline of days where neither shows up. Without that contrast, you can't tell signal from background noise.
From pattern to action
Once you've identified a candidate pattern, the next step is a focused follow-up week — same tracking, but with extra attention on the candidate context. If the connection holds, you've found something worth working with.
Key takeaways
- A pattern = same symptom + same context, repeated more than once.
- Hunches aren't patterns until they survive logged data.
- Contrast matters: you need 'good' days to see the 'bad' ones clearly.
- Confirm a candidate pattern with a focused follow-up week.
Frequently asked questions
How many repetitions make a pattern?
Two co-occurrences within a 14-day window is the minimum bar for a candidate. Three or more is much stronger.
Can a pattern have more than one trigger?
Yes — many recurring symptoms have a primary context plus modifiers. Track one candidate at a time so you can tell them apart.
Are correlations the same as causes?
No. A correlation tells you two things tend to happen together; it doesn't prove one caused the other.
Is this medical advice?
No. Your Body Signal helps you observe patterns in your own data — it does not diagnose or replace medical care.