iSANMATE ASA Filament 1.75mm Black 1KG, UV & Weather Resistant 3D Printer Filament Perfect for Outdoor Functional Parts, Dimensional Accuracy +/- 0.02mm, 1kg Spool (2.2lbs)

iSANMATE ASA Filament 1.75mm Black 1KG, UV & Weather Resistant 3D Printer Filament Perfect for Outdoor Functional Parts, Dimensional Accuracy +/- 0.02mm, 1kg Spool (2.2lbs)

ASIN: B0DB16JG74
Analysis Date: Oct 10, 2025

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Review Analysis Results

C
Authenticity Grade
35.00%
Fake Reviews
4.13
Original Rating
3.40
Adjusted Rating

Analysis Summary

The review set shows moderate signs of inauthenticity with several concerning patterns. While there are legitimate-sounding reviews with specific technical details and balanced feedback, there are also multiple suspicious elements: 1) Multiple reviews with identical video verification tags (R2UAZXM40H7BNF, R2JCNI27IYR84C) suggesting potential coordinated posting, 2) Several overly generic 5-star reviews with marketing-style language that reads like product descriptions rather than genuine user experiences, 3) Duplicate reviews from the same reviewer ID (R1LXQENVTJ0SKW appears twice with identical text), 4) The rating distribution is polarized with mostly 5-star and 1-star reviews, lacking moderate ratings. However, many reviews contain specific technical details about printers (Bambu X1C, Ender 3 v2), settings (210c, 60c bed), and genuine troubleshooting experiences that suggest real users.

Review Statistics

318
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 (3.40 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 (4.13 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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