Cookie Scoop - #30 (1.22 oz) - Disher, Portion Scoop, Food Scoop - Portion Control - 18/8 Stainless Steel, Purple Handle

Cookie Scoop - #30 (1.22 oz) - Disher, Portion Scoop, Food Scoop - Portion Control - 18/8 Stainless Steel, Purple Handle

ASIN: B08JZB6NF2
Analysis Date: Oct 26, 2025 (re-analyzed Oct 26, 2025)

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Review Analysis Results

C
Authenticity Grade
28.00%
Fake Reviews
4.27
Original Rating
3.70
Adjusted Rating

Analysis Summary

The reviews show a mixed pattern with some legitimate characteristics but several concerning elements. Positive aspects include: natural language variation, specific usage scenarios (muffins, gastric bypass, restaurant use), and mixed ratings (5, 4, 3, 1 stars). Concerning patterns include: duplicate 5-star review (RMJVAX7MJ0HZT appears twice with identical text), several overly enthusiastic 5-star reviews with exaggerated language, and a suspiciously high proportion of 5-star reviews (10 out of 15) despite multiple reports of product failure. The duplicate review is particularly problematic as it suggests review manipulation. However, the presence of genuine-sounding negative reviews about product durability and sizing issues provides balance. The moderate fake percentage reflects these mixed signals.

Review Statistics

2,305
Total Reviews on Amazon
-0.57
Rating Difference

Price Analysis

Price analysis pending

Price insights will be available shortly.

Understanding This Analysis

What does Grade C mean?

This product has moderate review authenticity concerns. A notable portion of reviews show suspicious patterns. Consider reading reviews carefully before purchasing.

Adjusted Rating Explained

The adjusted rating (3.70 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 (4.27 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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