CNLonQcom Solar Isolator Disconnect Switch 32A 1500V DC DIY 1 or 2 String with Outdoor IP66 Solar Combiner Box for PV Systems

CNLonQcom Solar Isolator Disconnect Switch 32A 1500V DC DIY 1 or 2 String with Outdoor IP66 Solar Combiner Box for PV Systems

Amazon.com: CNLonQcom Solar Isolator Disconnect Switch 32A 1500V DC DIY 1 or 2 String with Outdoor IP66 Solar Combiner Box for PV Systems : Patio, Lawn & Garden

ASIN: B0CK1R9NHY
Analysis Date: Nov 10, 2025

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Review Analysis Results

C
Authenticity Grade
25.00%
Fake Reviews
4.80
Original Rating
4.20
Adjusted Rating

Analysis Summary

The review set shows moderate concerns with a 25% fake percentage estimate. Analysis reveals: 1) Extremely high 5-star concentration (90% of reviews) with only two 4-star reviews, creating an unnatural rating distribution that doesn't reflect typical product variance; 2) All reviews are from unverified purchases ('U' designation), which increases suspicion as verified purchases typically dominate legitimate review sets; 3) While the limited text prevents detailed linguistic analysis, the perfect rating pattern combined with 100% unverified status suggests potential review manipulation. However, the absence of obvious bot-like patterns or identical phrasing prevents a higher fake percentage assessment.

Review Statistics

109
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 (4.20 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 (4.80 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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