100% Compostable Knives 125 Count,Disposable Knives No Plastic Knives Heavy Duty Silverware, BPA-Free Cutlery Flatware Utensils Ecofriendly,Light Brown

100% Compostable Knives 125 Count,Disposable Knives No Plastic Knives Heavy Duty Silverware, BPA-Free Cutlery Flatware Utensils Ecofriendly,Light Brown

ASIN: B0DJQGJKWK
Analysis Date: Oct 30, 2025

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Review Analysis Results

B
Authenticity Grade
18.00%
Fake Reviews
5.00
Original Rating
4.60
Adjusted Rating

Analysis Summary

The reviews show a generally authentic pattern with moderate concerns. All 9 reviews are 5-star, which is somewhat suspicious but plausible for a well-received disposable utensil product. The reviews contain specific, varied details about product performance (flexibility, heat resistance, thickness comparisons) that suggest genuine usage. However, there are some minor red flags: multiple reviews mention environmental benefits in similar phrasing, two reviews reference 'parties' in a promotional tone, and one review has an unusually detailed product description that reads like marketing copy. The mix of verified (V) and unverified (U) purchases (2V:7U ratio) is reasonable. Overall, the reviews appear mostly genuine with a small percentage potentially incentivized or overly enthusiastic.

Review Statistics

22
Total Reviews on Amazon
-0.40
Rating Difference

Price Analysis

Price analysis pending

Price insights will be available shortly.

Understanding This Analysis

What does Grade B mean?

This product has good review authenticity with minor concerns. While most reviews appear genuine, we detected some patterns that warrant mild caution.

Adjusted Rating Explained

The adjusted rating (4.60 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 (5.00 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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