USB C Cable 3FT, 2Pack Coiled Braided USB A to Type C Charger Cable for Car 66W Fast Charging Cord Compatible with iPhone 17 16 15, iPad, Samsung Galaxy, Google Pixel, Moto, TCL, LG Phones and More

USB C Cable 3FT, 2Pack Coiled Braided USB A to Type C Charger Cable for Car 66W Fast Charging Cord Compatible with iPhone 17 16 15, iPad, Samsung Galaxy, Google Pixel, Moto, TCL, LG Phones and More

ASIN: B0CMCTBHCP
Analysis Date: Oct 15, 2025

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Review Analysis Results

C
Authenticity Grade
28.00%
Fake Reviews
3.93
Original Rating
3.40
Adjusted Rating

Analysis Summary

The reviews show a mixed pattern with some legitimate characteristics but also several concerning elements. Positive aspects include: detailed use cases (telescope, motorcycle, car applications), specific product mentions (coiled design, length specifications), and a balanced rating distribution with 9 five-star, 1 four-star, 1 two-star, and 4 one-star reviews. Concerning elements include: multiple unverified purchases among 5-star reviews (R2VGIC7DGQPDKO, R2LLK4JK35N7AQ), some generic positive language ('Super nice', 'Nothing really to dislike'), and the last review appears to be reviewing a different product (mentions iPhone Lightning cable, not USB-C). The presence of genuine-sounding negative reviews about durability issues lends credibility to the overall review set.

Review Statistics

645
Total Reviews on Amazon
-0.53
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 (3.93 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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