Nicpro 1200 PCS Lead Refills 0.5mm HB #2 Break Resistant Mechanical Pencil Refills 0.5 mm, 60 Pack Per Tube, 20 Tubes

Nicpro 1200 PCS Lead Refills 0.5mm HB #2 Break Resistant Mechanical Pencil Refills 0.5 mm, 60 Pack Per Tube, 20 Tubes

ASIN: B07VH82LFN
Analysis Date: Nov 4, 2025 (re-analyzed Nov 4, 2025)

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Review Analysis Results

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

Analysis Summary

The review set shows mixed authenticity signals. Positive indicators include: natural language variation, specific product details (lead strength, breakage issues, .7mm compatibility), and balanced ratings with one 2-star review providing genuine criticism. However, concerning patterns include: 14/15 reviews are verified purchases (93% rate), extremely high 5-star density (13/15 reviews), and several overly simplistic reviews ('Good', 'Top', 'Buenas', '👍') that lack substantive content. The distribution suggests some potential review manipulation through incentivized reviews or padding, but the presence of detailed, critical feedback and natural language variation indicates a substantial portion are likely genuine. The moderate fake percentage reflects this mix of authentic and potentially artificial content.

Review Statistics

2,908
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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