● Food Intelligence · Legume
Across 1,087 single-item logs, chickpeas averaged +34.1 mg/dL — a moderate spike for a legume. But the range is wide: light-carb builds peaked at just +28.9 mg/dL while very-heavy-carb meals climbed to +44.1 mg/dL, a 53% escalation driven almost entirely by what surrounds the chickpeas on the plate.
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Yes — across 1,087 logged meals where chickpeas were eaten alone, the average glucose peak was +34.1 mg/dL, with 52.9% of responses rising above +30 mg/dL. In our single-item cohort of 1,087 chickpea logs from 721 members, the median spike was +32 mg/dL — a few points below the mean, reflecting a right-skewed distribution where a minority of high-carb meals pull the average up. The biggest lever in the data is total carb load: meals in the 'Light' bucket (0–40g carbs) averaged just +28.9 mg/dL, while very-heavy-carb meals (110g+) hit +44.1 mg/dL — a 53% escalation. Fat and protein pairings provided modest but consistent blunting, with fish pairings averaging −8 mg/dL versus the no-protein baseline — observational, not yet causal.
Some members spike +28.9 mg/dL. Others spike +44.1. The only way to know how you'll spike is to measure with a Signos CGM.
Chickpeas contain roughly 35g of carbohydrate per serving, but their tightly packed starch granules and substantial resistant-starch fraction slow digestion enough to produce a moderate mean peak of +34.1 mg/dL across 1,087 single-item logs. The dominant lever is total meal carb load: moving from a light (0–40g) carb context to a very heavy (110g+) context drove peaks from +28.9 mg/dL all the way to +44.1 mg/dL — a 53% escalation. Fat co-ingestion works in the opposite direction; meals with ≥15g of fat averaged a 9.4% lower peak (p<0.001), consistent with fat slowing gastric emptying. These effects are observational, not yet established as causal, but the direction and magnitude are consistent across the full 14,320-log cohort.
This page is grounded in Signos CGM data collected from 1,087 single-item chickpea logs (721 unique members) and a broader cohort of 14,320 meals containing chickpeas in any context, spanning the Signos production PPGR dataset through May 2026. The single-item cohort — meals where chickpeas were logged alone — is the primary stat source for headline figures. Modifier effects were estimated using Welch's t-test on matched pairs, with statistical significance reported as p-values and 95% confidence intervals in mg/dL. Only meals with a measured glucose rise between 0 and 100 mg/dL were included in cohort filtering. The reported mean peak for single-item chickpea logs is +34.1 mg/dL; because this distribution is right-skewed, the median is lower at +32.0 mg/dL. Food-protein and food-vegetable pairing effects required a minimum of 100 matched meals for any option to appear in the recipe builder — pairings with fewer qualifying logs are excluded from that tool entirely.