PALINDA Women's Crew Neck Ribbed Fitted Shirt Basic Short Sleeves Summer T Shirt Tops
PALINDA Women's Crew Neck Ribbed Fitted Shirt Basic Short Sleeves Summer T Shirt Tops
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Review Analysis Results
Analysis Summary
Analysis of 90 reviews across 2 chunks. Weighted fake percentage: 6.7%. Chunk consistency: high. Global patterns: Low verified purchase rate (0%). 1% 5-star rating is within normal ranges for a quality product, and the absence of verified purchase tags or Vine reviews doesn't inherently indicate manipulation—it simply means these reviews lack Amazon's verification markers.
Key patterns identified in the review analysis include: Mixed rating distribution including critical feedback, No repetitive patterns detectable without review text, Natural distribution of star ratings.
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 appears to be a well-reviewed budget-friendly basic women's t-shirt. Without a current price, focus on finding it under $20 for good value. Check the product page for coupons and read recent reviews for sizing and quality feedback before purchasing.
MSRP Assessment
Market Position
Buying Tips
Understanding This Analysis
What does Grade A mean?
This product has excellent review authenticity. Our AI detected very few suspicious patterns, suggesting the vast majority of reviews are genuine customer experiences.
Adjusted Rating Explained
The adjusted rating (4.10 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 (4.27 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.
