Four Candies 0.5/0.7mm Lead Refills in Case, Pack of 720 PCS Black HB #2 Break Resistant Mechanical Pencil Refills, 12 Tubes (6 of Each Size), 60 Pieces per Tube

Four Candies 0.5/0.7mm Lead Refills in Case, Pack of 720 PCS Black HB #2 Break Resistant Mechanical Pencil Refills, 12 Tubes (6 of Each Size), 60 Pieces per Tube

ASIN: B0CJBVDD57
Analysis Date: Nov 4, 2025 (re-analyzed Nov 4, 2025)

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Review Analysis Results

C
Authenticity Grade
28.00%
Fake Reviews
4.93
Original Rating
4.20
Adjusted Rating

Analysis Summary

The review set shows mixed authenticity signals. Positive indicators include: natural language variations, specific product details, and reasonable rating distribution (mostly 5-star with one 4-star). Concerning patterns include: multiple reviews with identical or near-identical opening phrases ('cute, colorful and practical/perfect'), some overly generic praise without substance, and one review (R3NAH9LHP9EXED) that appears to be video metadata rather than genuine review content. The duplicate review (R3H8RFN81E6RSI appearing twice) is particularly suspicious. However, many reviews contain authentic-sounding details about usage scenarios, product features, and personal experiences that suggest legitimate customer feedback.

Review Statistics

493
Total Reviews on Amazon
-0.73
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 (4.20 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 (4.93 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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