42V 1.7A for Ninebot Scooter Charger Compatible with Ninebot G30LP ES2 ES4 ES1L F20 F30 F40 E22 E25 M365 Pro/Pro2 Lime-S Electric Scooter with 36V Battery for Ninebot Electric Scooter Charger

42V 1.7A for Ninebot Scooter Charger Compatible with Ninebot G30LP ES2 ES4 ES1L F20 F30 F40 E22 E25 M365 Pro/Pro2 Lime-S Electric Scooter with 36V Battery for Ninebot Electric Scooter Charger

ASIN: B0BGBHRXJR
Analysis Date: Nov 10, 2025

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Review Analysis Results

C
Authenticity Grade
35.00%
Fake Reviews
4.27
Original Rating
3.50
Adjusted Rating

Analysis Summary

The review set shows moderate signs of manipulation with several concerning patterns. There are 11 total reviews with an unusually polarized distribution: 7 five-star reviews (64%), 1 four-star, 1 two-star, and 1 one-star. The five-star reviews exhibit repetitive language patterns ('works great' appears 3 times, 'great product' appears twice) and generic praise without specific details. Review #2 and #3 are extremely brief ('great product', 'It works!') which is common in fake reviews. However, the presence of legitimate-sounding negative reviews (#5 and #10) with specific complaints about product failure and return policies provides authenticity balance. The duplicate review (#6 and #9 with identical text) is particularly suspicious. Verification badges are present on all reviews, but the content patterns suggest some coordinated positive reviewing.

Review Statistics

224
Total Reviews on Amazon
-0.77
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 (3.50 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 (4.27 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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