Spike Protein Detox - Spike Support Supplement for Protein Balance - Unflavored 3-in-1 Blend with Nattokinase 4000Fu, Bromelain 500mg, Curcumin 1000mg - Made in The USA - 60 Capsules, 30 Day Supply

Spike Protein Detox - Spike Support Supplement for Protein Balance - Unflavored 3-in-1 Blend with Nattokinase 4000Fu, Bromelain 500mg, Curcumin 1000mg - Made in The USA - 60 Capsules, 30 Day Supply

ASIN: B0CRPGGRX1
Analysis Date: Nov 7, 2025

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Review Analysis Results

D
Authenticity Grade
42.00%
Fake Reviews
4.13
Original Rating
3.30
Adjusted Rating

Analysis Summary

This product shows moderate signs of review manipulation with several concerning patterns. The rating distribution is heavily skewed toward 5-star reviews (5 out of 8 reviews), but includes authentic-seeming critical reviews that suggest genuine customer experiences. Suspicious elements include: multiple reviews mentioning 'spike proteins' and detox language that appears coordinated, overly enthusiastic language in some 5-star reviews, and one review that seems to be promoting alternative purchasing methods. However, the presence of legitimate-sounding negative and neutral reviews (including detailed experiences and reasonable skepticism about pricing) provides balance. The mix suggests some artificial boosting but not overwhelming manipulation.

Review Statistics

213
Total Reviews on Amazon
-0.83
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 (3.30 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 (4.13 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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