MTG: Lord of the Rings Tales of Middle-Earth Set Booster
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Review Analysis Results
Analysis Summary
The review set shows significant red flags indicating a moderate level of fake reviews. Key findings: 1) Extreme polarization with 8 five-star reviews and 6 one-star reviews, creating a suspicious bimodal distribution typical of review manipulation campaigns. 2) Multiple detailed complaints about resealed packs and missing anti-tamper seals from 1-star reviewers, suggesting genuine product issues. 3) Several 5-star reviews are overly generic ('great gift', 'perfect condition') without specific details about the product experience. 4) The presence of Portuguese review ('Produto chegou dentro do prazo') mixed with English reviews raises authenticity questions. However, the detailed negative reviews appear genuine and provide specific evidence of product tampering, which balances the assessment.
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.
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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 (2.70 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 (3.47 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.