8 Pairs Metal Chopsticks Reusable 18/8 Stainless Steel Chopsticks Set Cute Laser Engraved Non-slip Japanese Korean Chinese Chopstick for Cooking Eating Dishwasher Safe 9.25" Chop Sticks Gift Set

8 Pairs Metal Chopsticks Reusable 18/8 Stainless Steel Chopsticks Set Cute Laser Engraved Non-slip Japanese Korean Chinese Chopstick for Cooking Eating Dishwasher Safe 9.25" Chop Sticks Gift Set

ASIN: B0D1ND1TSJ
Analysis Date: Oct 30, 2025

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Review Analysis Results

C
Authenticity Grade
28.00%
Fake Reviews
4.67
Original Rating
4.00
Adjusted Rating

Analysis Summary

The reviews show a moderately suspicious pattern with several concerning elements. The product has an overwhelmingly positive rating distribution (14 of 16 reviews are 4-5 stars) with only 2 negative reviews, which is somewhat unnatural. Several reviews exhibit generic, repetitive language praising the same features (sturdiness, grip, patterns) without substantive detail. However, there are also authentic-seeming reviews with specific usage experiences, including negative feedback about tips falling off and material markings. The presence of verified purchase tags and detailed negative reviews provides some credibility. The main concerns are the high positivity rate and formulaic positive language in several reviews.

Review Statistics

843
Total Reviews on Amazon
-0.67
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 (4.00 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 (4.67 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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