Mounting Dream TV Mount Bracket for Most 42-82 Inch Flat Screen TVs, Full Motion TV Wall Mounts with Swivel Articulating Dual Arms, Max VESA 600x400mm, 100 LBS Loading, Fits 16" Wood Studs, MD2296

Mounting Dream TV Mount Bracket for Most 42-82 Inch Flat Screen TVs, Full Motion TV Wall Mounts with Swivel Articulating Dual Arms, Max VESA 600x400mm, 100 LBS Loading, Fits 16" Wood Studs, MD2296

ASIN: B00KY054BG
Analysis Date: Sep 18, 2025 (re-analyzed Sep 18, 2025)

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Review Analysis Results

C
Authenticity Grade
28.00%
Fake Reviews
4.51
Original Rating
3.90
Adjusted Rating

Analysis Summary

The reviews show a generally authentic pattern with 88% 5-star ratings and detailed installation experiences. Most reviews contain specific technical details (stud spacing, bolt sizes, TV models) and personal anecdotes that suggest genuine usage. However, some concerns include: 1) Several extremely brief 5-star reviews lacking detail (e.g., 'High quality and useful product'), 2) One review appears duplicated with minor variation (R7AS78GOW8OQW), 3) A few reviews use identical phrasing about 'easy installation' and 'great instructions' suggesting possible template use. The mix of verified and unverified purchases (approximately 50/50 split) and presence of critical reviews (two 1-star reviews about quality issues) adds credibility to the overall authenticity.

Review Statistics

14,842
Total Reviews on Amazon
-0.61
Rating Difference

Price Analysis

Price analysis pending

Price insights will be available shortly.

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 (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 (4.51 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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