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Scenario mismatch

Soup Making: Too Heavy at 1.97× the Catalog Rate

Products bought for soup making report Too Heavy at 2.0x the catalog average (0.08% vs 0.04% of reviews, 547,151 vs 4,078,710).

confidence 0.99 machine-mined · pending editorial review
Finding

Products bought for soup making report Too Heavy at 2.0x the catalog average (0.08% vs 0.04% of reviews, 547,151 vs 4,078,710).

Metric

scenario rate0.0008
baseline0.0004
ratio1.97
n scenario547151
n baseline4078710

Sample

min_group_n547151
n_baseline4078710
n_scenario547151
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 Too Heavy for Soup Making?

    source: finding · cookware.db finding f:scenario:too-heavy-soup-making:9 (F7_scenario_mismatch) · observed 2023
  2. 2 Signals — what we searched for
    scenario:soup-makingproblem:too-heavy
  3. 3 Evidence — what the data shows
    MetricValueSampleConf.
    scenario_rate 0.0008 n = 547151 0.99
    baseline 0.0004 n = 547151 0.99
    ratio 1.97 n = 547151 0.99
  4. 4 Products — candidates that follow
  5. 5 Claim — the conclusion, tied to the evidence

    Products bought for soup making report Too Heavy at 2.0x the catalog average (0.08% vs 0.04% of reviews, 547,151 vs 4,078,710).

    confidence 0.99 · 3 evidence rows
AI draft — pending editorial review Editorial policy

Related

Soup MakingProblems & complaintsAll findings

Products bought for soup making report Too Heavy at 2.0x the catalog average (0.08% vs 0.04% of reviews, 547,151 vs 4,078,710).

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.

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