Black Multi Plug Outlet, HANYCONY Outlet Extender with 4 USB Ports (2 USB C) and Night Light, 1050J Surge Protector, Wall Mount, Outlet Splitter for Bathroom Kicthen Camper Dorm Room Essentials

Black Multi Plug Outlet, HANYCONY Outlet Extender with 4 USB Ports (2 USB C) and Night Light, 1050J Surge Protector, Wall Mount, Outlet Splitter for Bathroom Kicthen Camper Dorm Room Essentials

ASIN: B0DJ31LXZQ
Analysis Date: Oct 29, 2025

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Review Analysis Results

C
Authenticity Grade
28.00%
Fake Reviews
4.93
Original Rating
4.20
Adjusted Rating

Analysis Summary

The reviews show a mixed pattern with some legitimate characteristics but also several concerning elements. On the positive side, there's reasonable variation in review length and specific mentions of product features like the night light functionality and USB ports. However, the extremely high 5-star concentration (11 out of 13 reviews are 5-star, 85%) is suspicious for a product with reported night light issues. The reviews R3Q3DLOPO0IWY8 and R3H2F0N474AYXK show unusually polished, marketing-like language that stands out from typical consumer reviews. There's also repetition in content with multiple reviews mentioning the same features in similar phrasing. The presence of one 4-star review mentioning a defective night light provides some authenticity, but the overall pattern suggests potential review manipulation through incentivized or artificial reviews.

Review Statistics

10,120
Total Reviews on Amazon
-0.73
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 (4.20 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 (4.93 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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