BIC Marking 2000 ECOlutions, Multi-Surface Black Permanent Markers, Ideal for School, Bullet Tip and Quick Drying Ink, Pack of 12

BIC Marking 2000 ECOlutions, Multi-Surface Black Permanent Markers, Ideal for School, Bullet Tip and Quick Drying Ink, Pack of 12

BIC Marking 2000 ECOlutions, Multi-Surface Black Permanent Markers, Ideal for School, Bullet Tip and Quick Drying Ink, Pack of 12 : Amazon.co.uk: Stationery & Office Supplies

ASIN: B000071LUP
Analysis Date: Nov 4, 2025

Review Analysis Results

C
Authenticity Grade
25.00%
Fake Reviews
4.80
Original Rating
4.20
Adjusted Rating

Analysis Summary

The review set shows moderate concerns with a 25% fake percentage estimate. Analysis reveals a highly suspicious rating distribution with 90% 5-star ratings (9/10 reviews) and only one 4-star review, creating an unnatural perfect score pattern typical of review manipulation. All reviews are marked as 'U' (unverified purchase), which significantly reduces credibility since these could be written by anyone without purchase verification. The complete absence of 1-3 star reviews and the uniform 'U' designation across all reviews suggest potential coordinated activity. However, without review text content for deeper linguistic analysis, the assessment remains at moderate suspicion levels rather than definitive manipulation.

Review Statistics

7,438
Total Reviews on Amazon
-0.60
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 (4.80 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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