Replacement Audio Cable Cord, Extension Wire 3.5mm to 2.5mm for Bose QuietComfort QC45 QC35II QC35 QC25 NC 700 Soundlink Soundtrue Headphones Black

Replacement Audio Cable Cord, Extension Wire 3.5mm to 2.5mm for Bose QuietComfort QC45 QC35II QC35 QC25 NC 700 Soundlink Soundtrue Headphones Black

ASIN: B0B2PP5HZD
Analysis Date: Oct 18, 2025 (re-analyzed Oct 18, 2025)

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Review Analysis Results

C
Authenticity Grade
28.00%
Fake Reviews
4.38
Original Rating
3.80
Adjusted Rating

Analysis Summary

The review set shows mixed authenticity signals. Positive indicators include natural language variation, specific product complaints, and reasonable timeframes in negative reviews. However, concerning patterns include: 1) High proportion of 5-star reviews (6/8) with several being overly simplistic ('Works as expected'), 2) Review #1 contains unusual, potentially fabricated humor about a goat that seems irrelevant to product evaluation, 3) Multiple reviews mention Bose products specifically, which could indicate coordinated promotion, 4) Several reviews are extremely brief without substantive detail. The moderate fake percentage reflects that while some reviews appear genuine (particularly the detailed negative reviews), there's a cluster of suspicious 5-star reviews that lack the depth and specificity expected from authentic purchasers.

Review Statistics

189
Total Reviews on Amazon
-0.58
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 (3.80 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 (4.38 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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