GRENARO J13 Wireless Mic Lavalier Microphone with Charging Case, Compatible for Type-C Android & Tablet, Noise Reduction Lapel Mic, for Youtubers, Video Recording, Facebook, Live Stream
GRENARO J13 Wireless Mic Lavalier Microphone with Charging Case, Compatible for Type-C Android & Tablet, Noise Reduction Lapel Mic, for Youtubers, Video Recording, Facebook, Live Stream : Amazon.in: Musical Instruments
Review Analysis Results
Analysis Summary
The review set shows a moderately low fake percentage with mostly legitimate characteristics. The rating distribution is reasonably balanced (5★: 37.5%, 4★: 37.5%, 3★: 12.5%, 1★: 12.5%) without extreme polarization. The presence of negative reviews (1-star and 3-star) suggests organic feedback rather than coordinated promotion. However, the limited sample size (8 reviews) and absence of detailed review text for analysis prevent definitive verification. The pattern of brief, rating-only entries could indicate some low-effort reviews, but this alone doesn't strongly suggest manipulation. Overall, this appears to be a typical product review profile with minor concerns about review depth.
Review Statistics
About Review Data Collection
We extract as much review data as Amazon makes available at the time of analysis. The amount may vary due to Amazon's rate limiting, regional restrictions, or other factors. Our analysis is based on the reviews we successfully collected.
Want to analyze more reviews? Install the Null Fake Chrome extension to capture and analyze additional reviews as you browse Amazon.
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Price Analysis
Price analysis pending
Price insights will be available shortly.
Understanding This Analysis
What does Grade B mean?
This product has good review authenticity with minor concerns. While most reviews appear genuine, we detected some patterns that warrant mild caution.
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 (3.88 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.
