INJORA Drive Shaft Stainless Steel Heavy-Duty Driveshafts for Axial SCX10 90046 AXI03007 TRX4 Redcat Gen8 1/10 RC Car Crawler Upgrade(94-119mm)

INJORA Drive Shaft Stainless Steel Heavy-Duty Driveshafts for Axial SCX10 90046 AXI03007 TRX4 Redcat Gen8 1/10 RC Car Crawler Upgrade(94-119mm)

ASIN: B0BXP1LHMN
Analysis Date: Sep 17, 2025 (re-analyzed Sep 17, 2025)

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Review Analysis Results

C
Authenticity Grade
28.00%
Fake Reviews
4.28
Original Rating
3.70
Adjusted Rating

Analysis Summary

The reviews show a mixed pattern with mostly legitimate content but some concerning elements. The product has a high average rating (4.5/5) with 13 positive reviews (5★), 1 neutral (4★), 1 mixed (3★), 1 negative (2★), and 1 very negative (1★). The legitimate reviews contain specific technical details about driveshaft performance, fit issues, and real-world usage scenarios that suggest genuine user experiences. However, there are several suspicious patterns: duplicate reviews (R1NA8P8F1L4IHT appears twice), extremely brief reviews ('They work', 'Great product'), one review that appears to be video player metadata rather than actual content, and some overly promotional language. The presence of German text ('Alles zu vollsten Zufriedenheit') and shipping complaint adds authenticity. Overall, approximately 25-30% of reviews show questionable patterns while the majority appear genuine.

Review Statistics

135
Total Reviews on Amazon
-0.58
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 (3.70 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 (4.28 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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