Identify Your IBS Trigger Foods (Statistical Method)
Identifying trigger foods based on gut feeling is misleading — the brain looks for patterns where there aren't any. Nutae uses statistical tests to separate real correlations from coincidences.
Why gut feeling gets it wrong
A common patient verbatim: 'Foods from my actual worst symptom days often appeared on my best days list, too.' That's the classic subjective-journal trap: you remember the bad episodes after a meal, you forget the good episodes after the same food.
Worse: mainstream apps that flag a 'trend' after 3 occurrences mislead you. Three times out of ten you ate bread and had stomach pain — that might just be coincidence. Without a statistical test, there's no way to know.
Nutae's statistical method: Fisher + Mann-Whitney + BH-FDR
Nutae applies three well-established statistical tools. Fisher's exact test to measure whether the association between a food and a symptom is significant (accounting for sample size). Mann-Whitney U test to compare symptom intensity depending on whether the food is present or absent.
And crucially: Benjamini-Hochberg (BH-FDR) correction to handle multiple comparisons. When testing 30 foods at once, chance alone produces 1–2 false significant associations. BH-FDR filters them out. The result: whatever stays flagged as a trigger has a real statistical basis.
- Fisher's exact test (categorical association)
- Mann-Whitney U (intensity)
- BH-FDR correction (false positive control)
- All computed on your device — no data sent to a third-party server
Strong, moderate, to-be-confirmed: beyond the binary
Nutae doesn't just say 'this food is OK / not OK.' Each potential trigger is graded by statistical evidence level: strong evidence (very high probability), moderate evidence (significant, worth confirming), to be confirmed (signal too weak to conclude — keep logging).
This granularity avoids two symmetric traps: eliminating a food based on a weak signal, or ignoring a real trigger because the evidence isn't 'perfect.'
When this method hits its limits
Nutae is not a medical device. The statistical method works well for common food triggers (lactose, gluten, onion, fructose). It's less effective for non-food triggers (stress, sleep, menstrual cycle) — those need broader tracking that Nutae only partially covers.
Always share your Nutae observations with your doctor before any extended elimination protocol.
FAQ
Why not an AI that 'learns' my triggers?
A black-box AI tells you 'this is probable' without being able to justify it. Nutae shows the quantified probability and the statistical evidence level. Crucial for the conversation with your gastroenterologist and to avoid eliminating a food based on an artificial signal.
How many meals do I need to log for reliable triggers?
First signals after 7 days. Probable triggers at 14 days. Solid trends at 30+ days. The more consistently you log, the higher the statistical precision.
What if I see no triggers at all?
That's useful information too: your symptoms may not be directly linked to specific foods but to behavioral factors (rhythm, stress, sleep), or to an IBS subtype less responsive to elimination. Worth discussing with your doctor.