ASA Filament 1.75mm, UV&Rain&Heat Resistant Durable 3D Printer Filament, No Warping, Non Odor & Fumes - Perfect for Outdoor Functional Mechanical Parts, Black Filament 1kg(2.2lbs) Spool

ASA Filament 1.75mm, UV&Rain&Heat Resistant Durable 3D Printer Filament, No Warping, Non Odor & Fumes - Perfect for Outdoor Functional Mechanical Parts, Black Filament 1kg(2.2lbs) Spool

ASIN: B0C4NZRS2G
Analysis Date: Oct 10, 2025

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Review Analysis Results

C
Authenticity Grade
28.00%
Fake Reviews
4.40
Original Rating
3.80
Adjusted Rating

Analysis Summary

The review set shows moderate authenticity concerns with several suspicious patterns. While many reviews appear genuine with specific technical details and balanced feedback, there are notable red flags: duplicate reviews (R16CFUQZHXA5FD appears twice with identical text), overly enthusiastic 5-star reviews with generic praise, and some reviews that read like marketing copy rather than authentic user experiences. The rating distribution is heavily skewed toward 5-stars (9 out of 14 reviews), with only one 1-star review and minimal mid-range ratings. However, the presence of critical feedback, technical printing details, and varied writing styles provides some balance. The duplicate content and marketing-like language in certain reviews elevate the fake percentage above the typical baseline for legitimate products.

Review Statistics

667
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 (3.80 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 (4.40 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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