Maklulu Adult Superhero Capes and Masks-Halloween Capes Superhero Costumes
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Review Analysis Results
Analysis Summary
The review set shows a moderately high proportion of verified purchases (9/10), which is a positive authenticity indicator. However, there are some concerning patterns: the rating distribution is heavily skewed toward 5-star reviews (7/10), with only one 4-star, one 3-star, and one 2-star review. The language patterns show reasonable variation in writing style and content focus, with reviewers mentioning different use cases (Christmas tree, cosplay, hospital recovery, costume for child). The negative reviews appear genuine with specific complaints about fabric quality and stains. While there's some generic phrasing in a few 5-star reviews, the overall diversity of experiences and the presence of authentic-sounding negative feedback suggests this is primarily a legitimate product with a small percentage of potentially inauthentic positive reviews.
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 (3.90 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 (4.33 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.