Zenlogy 12x12 Parchment Paper Squares (200 Sheets), Unbleached, High Heat, Non-stick, Pre-cut Baking Paper for Dehydrator, Ninja Foodi Flip Air Fryer, Toaster Oven, and so much more.
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Review Analysis Results
Analysis Summary
The reviews show a mixed authenticity profile with some concerning patterns but also legitimate characteristics. The product has overwhelmingly positive ratings (13 of 15 reviews are 5-star) with only two negative reviews, creating a potential red flag for review manipulation. However, the detailed, specific usage scenarios (Ninja Foodi, Breville toaster oven, tortilla press) and varied writing styles suggest many genuine users. The two 1-star reviews provide specific complaints about packaging and safety concerns, which adds credibility to the overall review set. The main concerns are the high concentration of 5-star reviews mentioning similar products and the presence of some generic, unhelpful reviews that could be incentivized.
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 C mean?
This product has moderate review authenticity concerns. A notable portion of reviews show suspicious patterns. Consider reading reviews carefully before purchasing.
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 (4.40 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.
