Segway Ninebot Max G3 Electric Scooter, 28 mph Top Speed w/ 50 Miles Max Range, 2000W Peak Motor, Dual Hydraulic Suspension, Fast Charging Scooter for Adults and Teens, UL-2272 2271 Certified

Segway Ninebot Max G3 Electric Scooter, 28 mph Top Speed w/ 50 Miles Max Range, 2000W Peak Motor, Dual Hydraulic Suspension, Fast Charging Scooter for Adults and Teens, UL-2272 2271 Certified

ASIN: B0DSMQJX1X
Analysis Date: Nov 1, 2025 (re-analyzed Nov 1, 2025)

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Review Analysis Results

C
Authenticity Grade
28.00%
Fake Reviews
4.50
Original Rating
3.90
Adjusted Rating

Analysis Summary

The review set shows mixed authenticity signals. Positive indicators include: natural language variation, specific technical details about scooter performance, balanced reviews with both praise and criticism, and realistic product experiences. Concerning patterns include: multiple 5-star reviews with overly enthusiastic language, some reviews with future-dated timestamps (2025), and several reviews that feel slightly promotional. The verification rate appears normal, and the rating distribution (mostly 4-5 stars with some lower ratings) is plausible for a popular product. The presence of detailed negative feedback and technical complaints adds credibility to the overall review set.

Review Statistics

122
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 (3.90 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 (4.50 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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