Animal M-Stak - Muscle Builder and Anabolic Mass Gainer Supplement for Bodybuilding - Lean Muscle Growth, Amino Complex and Pre Workout Energy, 21 Packs

Animal M-Stak - Muscle Builder and Anabolic Mass Gainer Supplement for Bodybuilding - Lean Muscle Growth, Amino Complex and Pre Workout Energy, 21 Packs

ASIN: B000GONZZC
Analysis Date: Oct 12, 2025

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Review Analysis Results

D
Authenticity Grade
42.00%
Fake Reviews
4.50
Original Rating
3.60
Adjusted Rating

Analysis Summary

The review set shows moderate signs of inauthenticity with several concerning patterns. While some reviews appear genuine with specific personal experiences and balanced feedback, there are multiple red flags: 1) Extremely high 5-star concentration (11/14 reviews are 5-star, 78.6%) with minimal critical feedback, 2) Several reviews contain generic, overly enthusiastic language with excessive exclamation points and superlatives, 3) Multiple reviews reference immediate or unusually fast results that seem exaggerated for a natural supplement, 4) One review mentions 'feeling it on the first night' without working out, which is biologically questionable, 5) Several reviews read like marketing copy with brand promotion rather than genuine user experiences. However, the presence of some detailed, specific reviews and one legitimate complaint about packaging/seller issues provides some balance.

Review Statistics

834
Total Reviews on Amazon
-0.90
Rating Difference

Price Analysis

Price analysis pending

Price insights will be available shortly.

Understanding This Analysis

What does Grade D mean?

This product has significant review authenticity issues. Many reviews show patterns consistent with fake or incentivized reviews. Exercise caution.

Adjusted Rating Explained

The adjusted rating (3.60 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 (4.50 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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