eSUN PLA Basic Filament 1.75mm, 3D Printer Filament High Speed PLA for Fast Printing, 1KG Spool (2.2 LBS) 3D Printing Filament for High Speed 3D Printers, Black
Amazon.com: eSUN PLA Basic Filament 1.75mm, 3D Printer Filament High Speed PLA for Fast Printing, 1KG Spool (2.2 LBS) 3D Printing Filament for High Speed 3D Printers, Black : Industrial & Scientific
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Review Analysis Results
Analysis Summary
The review set shows moderate concerns with a 25% fake percentage estimate. Analysis reveals: (1) Extremely high positive bias with 6/8 reviews being 5-star (75%) and 2/8 being 4-star (25%), creating an unnatural perfect rating distribution; (2) All reviews are from verified purchases ('U' designation), which typically indicates legitimacy but could also suggest coordinated purchasing; (3) The pattern of exclusively high ratings without any critical feedback is statistically unusual for most products. However, the verified purchase status and lack of obvious bot-like language patterns prevent a higher fake percentage assessment. This could represent either genuine customer satisfaction or a coordinated review campaign.
Review Statistics
Price Analysis
eSUN PLA filament is a well-rated mid-range option in the 3D printing market. With typical pricing between $18-35 for quality PLA, this product's 4.75/5 rating suggests good value at its price point. Monitor for discounts below $20 and consider buying during major sales events for the best value.
MSRP Assessment
Market Position
Buying Tips
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 (4.75 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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