Wok Too Heavy: 6.37× the Catalog Rate
In Wok, Too Heavy appears at 6.4x the catalog average (0.28% vs 0.04% of reviews, 20,931 vs 4,604,930).
In Wok, Too Heavy appears at 6.4x the catalog average (0.28% vs 0.04% of reviews, 20,931 vs 4,604,930).
Metric
| group | 0.0028 |
|---|---|
| baseline | 0.0004 |
| ratio | 6.37 |
| n group | 20931 |
| n baseline | 4604930 |
| products | 172 |
Sample
| min_group_n | 20931 |
|---|---|
| n_baseline | 4604930 |
| n_group | 20931 |
| products | 172 |
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.
-
1 Origin — where the question comes from
What does the data show about Too Heavy for Wok?
-
2 Signals — what we searched for
product_type:wokproblem:too-heavy
-
3 Evidence — what the data shows
Metric Value Sample Conf. group 0.0028 n = 20931 0.99 baseline 0.0004 n = 20931 0.99 ratio 6.37 n = 20931 0.99 -
4 Products — candidates that follow
Lawei 14 Inch Carbon Steel Pow Wok - Hand Hammered Wok with Wooden and Steel Helper Handle, Round Bottom Wok Lawei · · ★ 86 Cast Iron Shallow Concave Wok - Black, 14-inch - by Utopia Kitchen Utopia Kitchen · · ★ 86 HOME EC Carbon Steel Wok Pan With Lid, Stir Fry Wok Set, Steel Spatula, and Cleaning Brush - Non-Stick Big 12.75in Flat HOME EC · $39.99 · ★ 85
-
5 Claim — the conclusion, tied to the evidence
In Wok, Too Heavy appears at 6.4x the catalog average (0.28% vs 0.04% of reviews, 20,931 vs 4,604,930).
In Wok, Too Heavy appears at 6.4x the catalog average (0.28% vs 0.04% of reviews, 20,931 vs 4,604,930).
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.