Frying Pan Food Sticking: 8.78× the Catalog Rate
In Frying Pan, Food Sticking appears at 8.8x the catalog average (0.44% vs 0.05% of reviews, 14,517 vs 4,611,344).
In Frying Pan, Food Sticking appears at 8.8x the catalog average (0.44% vs 0.05% of reviews, 14,517 vs 4,611,344).
Metric
| group | 0.0044 |
|---|---|
| baseline | 0.0005 |
| ratio | 8.78 |
| n group | 14517 |
| n baseline | 4611344 |
| products | 171 |
Sample
| min_group_n | 14517 |
|---|---|
| n_baseline | 4611344 |
| n_group | 14517 |
| products | 171 |
Review-derived and observational: rates are the share of sampled reviews that mention a problem, not a lab-measured failure rate. Reviews are self-selected, the corpus is a 2023 vintage, and problem mentions come from keyword/NLP labelling. Association is not causation.
How this page was built
The chain from the question to the conclusion. Every number below is aggregated from the review corpus and product data (2023 vintage); no number is generated by AI.
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1 Origin — where the question comes from
What does the data show about Food Sticking for Frying Pan?
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2 Signals — what we searched for
product_type:frying-panproblem:food-sticking
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3 Evidence — what the data shows
Metric Value Sample Conf. group 0.0044 n = 14517 0.99 baseline 0.0005 n = 14517 0.99 ratio 8.78 n = 14517 0.99 - 4 Products — candidates that follow
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5 Claim — the conclusion, tied to the evidence
In Frying Pan, Food Sticking appears at 8.8x the catalog average (0.44% vs 0.05% of reviews, 14,517 vs 4,611,344).
0.44% vs 0.05% (8.8×; 14,517 vs 4,611,344) — the highest food-sticking rate we see, but still 0.39 points in absolute terms. The surface is the failure point. See Frying pans .
- Treat the coating as a consumable.
- Use the pan for delicate food, not high-heat searing.
In Frying Pan, Food Sticking appears at 8.8x the catalog average (0.44% vs 0.05% of reviews, 14,517 vs 4,611,344).
This finding is mined from aggregated Amazon review data (2023 vintage). The evidence chain, metric and limitations are listed below; no number on this page is generated by AI.
This finding is mined from aggregated Amazon review data (2023 vintage) and is an association, not a lab-measured failure rate. Rates are the share of sampled reviews that mention a problem. See the scoring standards and our editorial policy.