20 ft USB C Cable 5Gbps Data Transfer 50W Fast Charging USB 3.2 Type C Extra Long Cord, 20-Foot Braided for Game Controller iPhone 17/16/15 Galaxy S25/S24/S23/S22 Android Phone iPad Pro/Air Laptop

20 ft USB C Cable 5Gbps Data Transfer 50W Fast Charging USB 3.2 Type C Extra Long Cord, 20-Foot Braided for Game Controller iPhone 17/16/15 Galaxy S25/S24/S23/S22 Android Phone iPad Pro/Air Laptop

ASIN: B0FR4VWZWD
Analysis Date: Nov 7, 2025 (re-analyzed Nov 7, 2025)

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Review Analysis Results

C
Authenticity Grade
25.00%
Fake Reviews
5.00
Original Rating
4.40
Adjusted Rating

Analysis Summary

The reviews show a mix of genuine and potentially suspicious content. All 12 reviews are 5-star with no negative feedback, which is somewhat unusual but plausible for a quality product. Several reviews contain highly specific technical details and usage scenarios that suggest authentic experience (reviews 3, 5, 11). However, there are concerning patterns: duplicate reviews (1 and 6 are identical, 2 and 7 are identical), generic praise without substance (review 10), and some reviews that read like marketing copy (review 4). The technical specificity in many reviews could indicate either genuine expertise or sophisticated fake review writing. The presence of duplicate content is the strongest indicator of manipulation, but the overall quality and variety of writing styles suggest many reviews are legitimate.

Review Statistics

14
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 (4.40 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 (5.00 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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