The Complete Guide to Dark Psychology [13-in-1]: 201 Science-Backed Techniques for Covert Influence, Manipulation, Brainwashing, Lie Detection, NLP, Mind Control, Mental Warfare, & Much More!

The Complete Guide to Dark Psychology [13-in-1]: 201 Science-Backed Techniques for Covert Influence, Manipulation, Brainwashing, Lie Detection, NLP, Mind Control, Mental Warfare, & Much More!

ASIN: B0FGTNYZ3R
Analysis Date: Nov 2, 2025

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Review Analysis Results

D
Authenticity Grade
42.00%
Fake Reviews
4.92
Original Rating
3.90
Adjusted Rating

Analysis Summary

The reviews show moderate signs of artificiality with several concerning patterns. While the content appears to focus on a legitimate 'dark psychology' book, the reviews exhibit unusual homogeneity in language and structure. Multiple reviews use nearly identical phrasing ('not for the faint of heart,' 'deep dive,' 'NLP,' 'manipulation techniques') suggesting coordinated content. The rating distribution is suspiciously skewed with 12 out of 13 reviews being 5-star and only one 4-star, creating an unnatural perfect score pattern. Several reviews contain repetitive marketing language and exaggerated claims about the book's comprehensiveness. However, the reviews do show some variation in writing style and length, preventing a higher fake percentage score.

Review Statistics

107
Total Reviews on Amazon
-1.02
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 (3.90 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 (4.92 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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