FORGING MOUNT Long Reach TV Wall Bracket Corner TV Bracket for 32-75 inch TVs, 820mm Extension Long Arm with Swivel/Tilt, Full Motion Tv Wall Mount, Max VESA 600x400mm, Up to 50KG
Free delivery and returns on eligible orders. Buy FORGING MOUNT Long Reach TV Wall Bracket Corner TV Bracket for 32-75 inch TVs, 820mm Extension Long Arm with Swivel/Tilt, Full Motion Tv Wall Mount, Max VESA 600x400mm, Up to 50KG at Amazon UK.
Review Analysis Results
Analysis Summary
The review set shows moderate concerns with a 25% fake percentage estimate. Analysis reveals a highly suspicious rating pattern with 8 out of 10 reviews being 5-star (80%) and only 2 being 4-star, creating an unnatural perfect distribution. All reviews are from unverified purchases ('U' designation), which significantly reduces credibility. The complete absence of critical reviews (1-3 stars) is statistically improbable for most products. While the limited text data prevents detailed linguistic analysis, the combination of perfect ratings, unverified status, and lack of rating diversity suggests organized positive reviewing rather than organic customer feedback.
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
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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 (4.20 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.
