UGREEN 2-in 7-Out USB 3.0 Switch, USB Switcher for 2 Computers Sharing USB A & C Devices (4USB-A + 3USB-C), USB Switches Sharing Keyboard and Mouse with Controller, USB-C Male Adapter, Power Adapter

UGREEN 2-in 7-Out USB 3.0 Switch, USB Switcher for 2 Computers Sharing USB A & C Devices (4USB-A + 3USB-C), USB Switches Sharing Keyboard and Mouse with Controller, USB-C Male Adapter, Power Adapter

Buy UGREEN 2-in 7-Out USB 3.0 Switch, USB Switcher for 2 Computers Sharing USB A & C Devices (4USB-A + 3USB-C), USB Switches Sharing Keyboard and Mouse with Controller, USB-C Male Adapter, Power Adapter: KVM Switches - Amazon.com ✓ FREE DELIVERY possible on eligible purchases

ASIN: B0FF498RHP
Analysis Date: Nov 10, 2025

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Review Analysis Results

C
Authenticity Grade
25.00%
Fake Reviews
4.70
Original Rating
4.10
Adjusted Rating

Analysis Summary

The review set shows moderate concerns with a 25% fake percentage estimate. Analysis reveals a highly skewed rating distribution with 80% 5-star reviews (8/10) and only one 3-star and one 4-star review, creating an unnatural perfect score pattern. The uniform 'U' verification status across all reviews suggests potential coordinated posting, though this could also indicate legitimate unverified purchases. The complete absence of 1-2 star reviews is statistically unusual for most products. However, without review text content for deeper linguistic analysis, the assessment remains limited to structural patterns only.

Review Statistics

40
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 (4.10 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 (4.70 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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