USB C Ladegerät, 4 Ports Mehrfach Ladegerät mit USB C und USB A, 45W Schnellladegerät PD 3.0 USB Netzteil für Apple iPhone 17 16 15 14 13 12 11 Pro Max, Mini SE XS XR, iPad, Samsung USB C Ladestecker
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Review Analysis Results
Analysis Summary
The reviews show a generally authentic pattern with some minor concerns. All 10 reviews are positive (9x 5★, 1x 4★), which is common but not inherently suspicious for a functional product. The verification rate is high (80% verified purchases), and the reviews contain specific, varied language about product performance, pricing, and real-world usage. However, there's some repetition of 'Preis-Leistung' (price-performance) and generic praise that could indicate light incentivized reviewing. The detailed reviews from unverified users (R2FSKJSFTZASL5, RP7EZAQ9SUKDJ) show genuine user experience with technical specifics, balancing out the simpler verified 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 (4.50 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 (4.90 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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