Umite Chef Mixing Bowls with Airtight Lids, 26Pcs Stainless Steel Bowls Set, 3 Grater Attachments & Black Non-Slip Bottoms Size 7, 4, 2.5, 2.0,1.5, 1QT, Great for Mixing & Serving

Umite Chef Mixing Bowls with Airtight Lids, 26Pcs Stainless Steel Bowls Set, 3 Grater Attachments & Black Non-Slip Bottoms Size 7, 4, 2.5, 2.0,1.5, 1QT, Great for Mixing & Serving

ASIN: B0C9LXHJ8T
Analysis Date: Oct 30, 2025

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Review Analysis Results

D
Authenticity Grade
42.00%
Fake Reviews
4.53
Original Rating
3.60
Adjusted Rating

Analysis Summary

This product shows moderate signs of review manipulation with several concerning patterns. The rating distribution is heavily skewed toward 5-star reviews (12 out of 15 reviews), with only two 2-star reviews and one 4-star review. Multiple reviews exhibit generic, overly enthusiastic language with repetitive praise of the same features (non-skid bottoms, multiple sizes, lids). There are several very brief, low-effort 5-star reviews that provide minimal useful information. One review (RH9A8KNN7E078) appears to be duplicated with nearly identical text. The review mentioning utensils breaking seems misplaced for a mixing bowl set, suggesting potential review pooling. However, the presence of genuine-sounding critical reviews in multiple languages and some detailed positive reviews provides some balance.

Review Statistics

3,281
Total Reviews on Amazon
-0.93
Rating Difference

Price Analysis

Price analysis pending

Price insights will be available shortly.

Understanding This Analysis

What does Grade D mean?

This product has significant review authenticity issues. Many reviews show patterns consistent with fake or incentivized reviews. Exercise caution.

Adjusted Rating Explained

The adjusted rating (3.60 stars) represents what we estimate this product's rating would be if fake reviews were removed. This product's adjusted rating is lower than Amazon's displayed rating (4.53 stars), suggesting positive fake reviews may be inflating the score.

How We Detect Fake Reviews

Our AI analyzes multiple factors: language patterns (generic vs. specific), reviewer behavior (history, timing), temporal anomalies (review clusters), verification status, sentiment authenticity, and statistical outliers. No single factor determines a review is fake - we look at the combination of signals.

Important Limitations

No automated system is perfect. Sophisticated fake reviews can evade detection, and some genuine reviews may be incorrectly flagged. Use this analysis as one data point in your purchasing decision, not the only factor. Reading actual review content yourself is always valuable.

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