Extra Heavy Duty 130lb Cover Cardstock - 5" x 7" Bright White - 350gsm 17pt Thick Paper - Index, Flash & Post Card Stock - 40 Pack
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Review Analysis Results
Analysis Summary
The reviews show a generally authentic pattern with mostly detailed, specific usage scenarios that align with cardstock products. The 5-star reviews (11 out of 14) describe legitimate use cases like wedding programs, memorial cards, Christmas cards, and art projects with specific technical details about thickness, printing performance, and material quality. The presence of 3 critical reviews (1-star and 3-star) discussing printer compatibility issues and quality inconsistencies adds credibility to the overall review set. However, some minor concerns include repetitive positive language across multiple reviews and a few reviews with overly enthusiastic but generic praise. The verification rate appears normal, and the rating distribution (mostly 5-star with some critical feedback) is typical for a well-received product.
Review Statistics
Price Analysis
This appears to be a quality mid-range cardstock product based on its specifications and ratings. Since the current Amazon price is unknown, compare it against similar 350gsm cardstock products in the $12-$25 range for 40-50 sheets. Check price history tools and wait for seasonal promotions if the current price seems high.
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 (3.80 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 (4.21 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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