Abardsion Women Casual Raglan Sleeve Crewneck T Shirts - 2025 Summer Basic Activewear Slim Fit Going Out Tops
Abardsion Women Casual Raglan Sleeve Crewneck T Shirts - 2025 Summer Basic Activewear Slim Fit Going Out Tops
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Review Analysis Results
Analysis Summary
Analysis of 90 reviews across 2 chunks. Weighted fake percentage: 8.3%. Chunk consistency: high. Global patterns: Low verified purchase rate (0%). The product has received predominantly positive feedback with a 60% 5-star rating distribution, which is reasonable for a quality product that meets customer expectations.
Key patterns identified in the review analysis include: Natural rating distribution with 8% 3-star reviews, 32% 4-star reviews indicating nuanced feedback, No exclusively 5-star rating pattern.
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.
Free, quick to install, and works on Chrome, Edge, Brave, and other Chromium browsers.
Price Analysis
This is a well-rated basic women's casual top likely positioned in the budget to mid-range segment. Without a current price, focus on securing it under $20 for good value. Check the product page for coupons or wait for seasonal sales if not urgent.
MSRP Assessment
Market Position
Buying Tips
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 (4.30 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 (4.48 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.
