SUNGUY Right Angle Coiled USB C Cable 2FT [2Pack], 90 Degree USB A to USB C Cable for Android Auto & Carplay, USB Type C Charging Cable for iPhone 16 15 Pro/Pro Max/Plus, Samsung Galaxy S24 S23 S22

SUNGUY Right Angle Coiled USB C Cable 2FT [2Pack], 90 Degree USB A to USB C Cable for Android Auto & Carplay, USB Type C Charging Cable for iPhone 16 15 Pro/Pro Max/Plus, Samsung Galaxy S24 S23 S22

ASIN: B0F4X8WPFS
Analysis Date: Oct 13, 2025

As an Amazon Associate I earn from qualifying purchases.

Review Analysis Results

C
Authenticity Grade
28.00%
Fake Reviews
4.69
Original Rating
4.00
Adjusted Rating

Analysis Summary

The reviews show a mixed pattern with some legitimate characteristics but also several red flags. Positive aspects include: natural variation in ratings (4.2 average with one 2-star review), specific product use cases, and some detailed descriptions of the right-angle connector functionality. Concerning patterns include: high proportion of 5-star reviews (11/13), several overly generic positive reviews lacking detail, and some reviews that follow similar template structures. The reviews appear to be mostly genuine with a moderate percentage of potentially incentivized or formulaic reviews. The product-specific details about the extended USB-C tip for thick phone cases appear authentic across multiple reviews.

Review Statistics

151
Total Reviews on Amazon
-0.69
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 (4.00 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 (4.69 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.

Share This Analysis

Learn More About Fake Reviews

Analyze new product