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Review Analysis Results
Analysis Summary
The reviews show several concerning patterns that suggest a moderate level of inauthentic reviews. While there are some legitimate-sounding reviews with specific details and balanced feedback, the overall distribution is heavily skewed toward 5-star ratings (13 out of 15 reviews are 5-star). Multiple reviews contain nearly identical phrasing about 'hair-like strokes' and 'natural look' with minimal variation. There are two instances of duplicate reviews (R25AI2NEEF2GJU and R1JKPPYG54Z637 appear twice with identical content), which is a strong indicator of manipulation. The review R232ZOIKRGGRAS appears to be a technical error or placeholder text rather than a genuine review. However, the presence of some detailed, specific reviews with realistic scenarios (like the Disney trip) and one 3-star review with legitimate criticism provides some balance.
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
Price analysis pending
Price insights will be available shortly.
Understanding This Analysis
What does Grade D mean?
This product has significant review authenticity issues. Many reviews show patterns consistent with fake or incentivized reviews. Exercise 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 (4.80 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.