hanky panky - Signature Lace Original Rise Thongs | One Size 4-14 | Womens Underwear, Lacy Lingerie | 3 or 5 pack

hanky panky - Signature Lace Original Rise Thongs | One Size 4-14 | Womens Underwear, Lacy Lingerie | 3 or 5 pack

ASIN: B0187Q0Q3E
Analysis Date: Oct 3, 2025 (re-analyzed Oct 3, 2025)

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Review Analysis Results

C
Authenticity Grade
28.00%
Fake Reviews
4.57
Original Rating
3.90
Adjusted Rating

Analysis Summary

The review set shows mixed authenticity signals. Positive indicators include: 1) Natural rating distribution with one 1-star and two 4-star reviews among mostly 5-star ratings, 2) Specific product complaints in the negative review about color accuracy, 3) Varied review lengths and writing styles. Concerning patterns include: 1) High proportion of verified purchases (all reviews marked 'V'), 2) Multiple reviews using nearly identical phrasing about comfort ('forgot I was wearing them', 'feel like I'm not wearing anything'), 3) Several reviews contain marketing-like superlatives ('best of the best', 'best line of undergarments on the market'). The moderate fake percentage reflects that while some reviews appear authentic, there's likely some coordinated positive reviewing given the repetitive comfort claims and excessive brand praise.

Review Statistics

677
Total Reviews on Amazon
-0.67
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 (4.57 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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