THORNE - Emotion Balance Support (Formerly Deproloft-HF) - Botanical Supplement for Positivity and Stress Management* - 120 Capsules
As an Amazon Associate I earn from qualifying purchases.
Review Analysis Results
Analysis Summary
The overwhelming majority of these reviews appear genuine, with only minimal concerns about potential manipulation. All reviews are verified purchases (indicated by 'V'), which significantly increases their authenticity likelihood. The reviews show a natural distribution of detail levels, from brief endorsements to comprehensive personal narratives, which is typical of authentic review ecosystems. The high ratings (5-4 stars) are consistent with a product that users find effective for mood stabilization and focus enhancement.
Strong evidence of authenticity includes detailed personal medical histories (review 4 mentions specific medications like Wellbutrin, klonipin, and lamictal), specific timelines for noticing effects (review 5 mentions three weeks, review 6 mentions three months), and balanced perspectives (review 7 explicitly states this shouldn't replace therapy or doctor-prescribed methods). Review 8 provides a specific family context with a 12-year-old son and mentions teacher feedback, while review 2 discusses weaning off medications with doctor approval. These detailed, contextual narratives are difficult to fabricate and strongly indicate genuine user experiences.
The only minor concern is the presence of two extremely brief reviews (reviews 1 and 3 with 'Stabilizes mood' and 'Effective'), which could theoretically be part of manipulation patterns. However, brief positive reviews are common in authentic review sets, especially when users are satisfied but not verbose. There are no clear manipulation patterns like repetitive marketing language, generic praise without specifics, or suspicious timing indicators across the reviews.
Overall, this review set demonstrates strong authenticity signals with minimal red flags. The detailed personal stories, medical context, varied writing styles, and verified purchase status outweigh the presence of a few brief reviews. The product appears to be a mood supplement that users report takes consistent use (weeks to months) to notice effects, works subtly rather than dramatically, and helps with both mood stabilization and focus improvement based on genuine user feedback.
Key patterns identified in the review analysis include: Verified purchases only, Specific medication/medical context, Timeline references (weeks/months).
Review Statistics
About Review Data Collection
We extract as much review data as Amazon makes available at the time of analysis. The amount may vary due to Amazon's rate limiting, regional restrictions, or other factors. Our analysis is based on the reviews we successfully collected.
Want to analyze more reviews? Install the Null Fake Chrome extension to capture and analyze additional reviews as you browse Amazon.
Free, quick to install, and works on Chrome, Edge, Brave, and other Chromium browsers.
Price Analysis
Thorne Emotion Balance is a premium-priced supplement in the $55-$65 range, reflecting the brand's quality reputation. Without the current Amazon price, compare it to Thorne's direct website and authorized retailers. Look for Subscribe & Save or bundled deals for the best value, and always purchase from authorized sellers to avoid counterfeit risks.
MSRP Assessment
Market Position
Buying Tips
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 (4.60 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 (4.88 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.