![Cable Matters Long USB C Monitor Cable - 8.2ft / 2.5m, Supports Up to [4K@60Hz Video, 240W Charging, 5Gbps Data Transfer], USB C Display Cable, USBC Video Cord, Works with CarPlay, Android Auto](https://m.media-amazon.com/images/I/61cLJcqwJ-L._AC_SL1200_.jpg)
Cable Matters Long USB C Monitor Cable - 8.2ft / 2.5m, Supports Up to [4K@60Hz Video, 240W Charging, 5Gbps Data Transfer], USB C Display Cable, USBC Video Cord, Works with CarPlay, Android Auto
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Review Analysis Results
Analysis Summary
The reviews show a generally authentic pattern with moderate concerns. Positive aspects include: diverse use cases (Mac Mini, Quest 3, various laptops/docking stations), specific technical details (5Gbps speeds, 240W Power Delivery), and some critical feedback (one 4-star review mentioning cable failure after 6 months). However, there are minor red flags: extremely high 5-star concentration (14/15 reviews), some repetitive phrasing ('just worked', 'no issues'), and several brief, generic positive reviews that lack detail. The reviews appear to be for a legitimate Cable Matters product, and the detailed technical descriptions in several reviews suggest genuine user experiences.
Review Statistics
Price Analysis
This Cable Matters USB-C monitor cable represents strong value in the mid-range segment with premium specifications. Given its exceptional 4.87/5 rating from 1854 reviews, the product appears to deliver on its promised performance. Wait for Amazon Lightning Deals or coupon discounts for the best price, but the current offering is likely competitively priced.
MSRP Assessment
Market Position
Buying Tips
Understanding This Analysis
What does Grade B mean?
This product has good review authenticity with minor concerns. While most reviews appear genuine, we detected some patterns that warrant mild caution.
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 (4.87 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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