Scenario mismatch

Family Dinner: Size Misleading at 1.34× the Catalog Rate

Products bought for family dinner report Size Misleading at 1.3x the catalog average (0.20% vs 0.15% of reviews, 546,033 vs 4,079,828).

confidence 0.99 machine-mined · pending editorial review
Finding

Products bought for family dinner report Size Misleading at 1.3x the catalog average (0.20% vs 0.15% of reviews, 546,033 vs 4,079,828).

Metric

scenario rate0.002
baseline0.0015
ratio1.34
n scenario546033
n baseline4079828

Sample

min_group_n546033
n_baseline4079828
n_scenario546033
Limitations

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. 1 Origin — where the question comes from

    What does the data show about Size Misleading for Family Dinner?

    source: finding · cookware.db finding f:scenario:size-mismatch-family-dinner:14 (F7_scenario_mismatch) · observed 2023
  2. 2 Signals — what we searched for
    scenario:family-dinnerproblem:size-misleading
  3. 3 Evidence — what the data shows
    MetricValueSampleConf.
    scenario_rate 0.002 n = 546033 0.99
    baseline 0.0015 n = 546033 0.99
    ratio 1.34 n = 546033 0.99
  4. 4 Products — candidates that follow
  5. 5 Claim — the conclusion, tied to the evidence

    Products bought for family dinner report Size Misleading at 1.3x the catalog average (0.20% vs 0.15% of reviews, 546,033 vs 4,079,828).

    confidence 0.99 · 3 evidence rows

Products bought for family dinner report Size Misleading at 1.3x the catalog average (0.20% vs 0.15% of reviews, 546,033 vs 4,079,828).

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.

Share