KUAFU 240351601 Refrigerator Door Shelf Bin Compatible with Frigidaire Freezer AP2115974 PS430027 891154 AH430027 EA430027 Refrigerator Gallon Door Bin Shelf Replacement Only White
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Review Analysis Results
Analysis Summary
The review set shows mostly authentic characteristics with some minor concerns. Positive aspects include: natural language variation across reviews, specific product compatibility mentions (FFHS2611LBC), mixed ratings (3-5 stars), and detailed descriptions of fit issues. Concerns include: one duplicate review (R21P5QB9MXIVK4 appears twice with identical text), and some reviews with very brief content. However, the presence of negative/neutral reviews discussing actual fit problems and the overall balanced rating distribution (3, 4, and 5 stars) suggests genuine customer experiences. The duplicate review is the primary reason for the elevated score, but it appears to be a data processing error rather than systematic fakery.
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 (3.60 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 (4.00 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.
