WICKED STOCK Men's Riding Pants with CE LEVEL2 Armor - Dark Blue

WICKED STOCK Men's Riding Pants with CE LEVEL2 Armor - Dark Blue

ASIN: B0BTJCC11J
Analysis Date: Nov 5, 2025

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Review Analysis Results

C
Authenticity Grade
28.00%
Fake Reviews
4.33
Original Rating
3.70
Adjusted Rating

Analysis Summary

The review set shows a mix of genuine and potentially suspicious content. Positive aspects include detailed sizing discussions, specific product features (Kevlar lining, armor placement), and realistic fit issues that suggest authentic experiences. However, several red flags emerge: multiple reviews mention sizing up exactly as recommended (potentially coordinated), some reviews have abrupt endings or incomplete sentences, and there's a suspicious 5-star review claiming the product 'literally saved my husband's butt' with minimal detail. The verification rate is 100% (all 'V' verified), which is unusually high, and the rating distribution is heavily skewed toward 5-stars (10/15 reviews) with only 3 negative reviews. The detailed technical descriptions in some reviews could indicate genuine expertise or potentially manufactured authenticity.

Review Statistics

248
Total Reviews on Amazon
-0.63
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 (3.70 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 (4.33 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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