Super Glue Liquid for Plastic Ceramic Aquarium, 113.6 Gram Medium Thick All Purpose Clear Cyanoacrylate Adhesive, Heavy Duty CA Glue for Wood 3D Print Model Shoe Leather Glass Metal Rubber Craft

Super Glue Liquid for Plastic Ceramic Aquarium, 113.6 Gram Medium Thick All Purpose Clear Cyanoacrylate Adhesive, Heavy Duty CA Glue for Wood 3D Print Model Shoe Leather Glass Metal Rubber Craft

ASIN: B0B8SRDD46
Analysis Date: Oct 29, 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 reviews show a mixed pattern with some legitimate characteristics but also several concerning elements. Positive aspects include: detailed usage scenarios (aquarium repairs, dollhouse projects, motorcycle parts), specific technical mentions (viscosity levels, cyanoacrylate properties), and some critical feedback (lid adhesion issues). However, concerning patterns include: extremely high 5-star concentration (14/15 reviews), repetitive phrasing across multiple reviews, and several reviews with overly enthusiastic language lacking specific details. The duplicate review (R2VHB1D6RS1ILU appears twice) is particularly suspicious. The moderate fake percentage reflects that while many reviews appear genuine with specific use cases, the rating distribution and some repetitive language patterns suggest potential manipulation.

Review Statistics

3,697
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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