Serola Sacroiliac Belt for SI Joint Dysfunction – (Medium fits 34” to 40”) Lower Back, Sciatic, Pelvic & Hip Support brace for Women & Men | Non-Slip, Adjustable & Breathable Pain Relief Brace

Serola Sacroiliac Belt for SI Joint Dysfunction – (Medium fits 34” to 40”) Lower Back, Sciatic, Pelvic & Hip Support brace for Women & Men | Non-Slip, Adjustable & Breathable Pain Relief Brace

ASIN: B000NIFVLW
Analysis Date: Nov 3, 2025

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Review Analysis Results

B
Authenticity Grade
18.00%
Fake Reviews
4.60
Original Rating
4.20
Adjusted Rating

Analysis Summary

The reviews show a generally authentic pattern with some minor concerns. Positive aspects include: detailed personal medical histories, specific usage scenarios, and mixed ratings (5, 4, and 3 stars). The 3-star reviews provide balanced feedback about fit issues and product limitations, which is typical of genuine reviews. However, there are some concerns: one review appears duplicated (R3STRH01JNZ57Q appears twice with identical content), several reviews use very similar enthusiastic language about pain relief, and there's one review in Italian that seems slightly out of place. The overall distribution and detailed personal experiences suggest mostly authentic feedback with a small percentage of potentially incentivized or formulaic reviews.

Review Statistics

6,471
Total Reviews on Amazon
-0.40
Rating Difference

Price Analysis

Price analysis pending

Price insights will be available shortly.

Understanding This Analysis

What does Grade B mean?

This product has good review authenticity with minor concerns. While most reviews appear genuine, we detected some patterns that warrant mild caution.

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 (4.60 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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