Cable Matters USB C to 2.5Gb Ethernet Adapter with 140W Charging, 2.5 Gigabit Network Speed, USB C to Ethernet Adapter Compatible with USB4, Thunderbolt 4/5, MacBook, Laptop, and USBC Devices
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Review Analysis Results
Analysis Summary
The reviews show strong authenticity indicators with minimal red flags. All reviews are verified purchases (V/U), which significantly reduces fake review likelihood. The content is highly specific, technical, and demonstrates genuine product usage across different devices (MacBook Pro, iPad Pro, Ubuntu, various laptops). Reviews mention specific technical details (2.5Gb Ethernet, 140W PD charging, Unifi switches, AT&T Fiber) that would be difficult for fake reviewers to fabricate consistently. The mix of 5★ and 0★ ratings appears organic, and the single duplicate review (R15YV4PO9M44EF) appears to be a copy-paste error rather than a fake review pattern. The reviews show natural variation in writing style and focus points.
Review Statistics
About Review Data Collection
We extract as much review data as Amazon makes available at the time of analysis. The amount may vary due to Amazon's rate limiting, regional restrictions, or other factors. Our analysis is based on the reviews we successfully collected.
Want to analyze more reviews? Install the Null Fake Chrome extension to capture and analyze additional reviews as you browse Amazon.
Free, quick to install, and works on Chrome, Edge, Brave, and other Chromium browsers.
Price Analysis
Price analysis pending
Price insights will be available shortly.
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 (1.70 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 (1.82 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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