Nutri + Beta Alanin 1 kg Pulver - vegan rein hochdosiert und ohne Zusätze - 1000 g Pre Workout Booster ß Alanine Powder - ideal als Trainingsbooster
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Review Analysis Results
Analysis Summary
This product shows clear signs of review manipulation with approximately 42% of reviews appearing suspicious. The review set contains 15 total reviews with 13 verified purchases (86.7%) and 2 unverified (13.3%). The rating distribution is heavily skewed: 10 five-star reviews (66.7%), 2 four-star reviews (13.3%), 1 two-star review (6.7%), and 1 one-star review (6.7%). This distribution pattern with minimal mid-range ratings and only negative reviews addressing specific product issues (expiration dates) is characteristic of products with artificial positive reviews.
Several reviews exhibit formulaic language patterns common in incentivized reviews. For example, review #1 states "Guter Preis und leicht in Wasser löslich" (Good price and easily soluble in water) which follows a common template of mentioning price and basic functionality. Review #2 is simply "Good product!" with no substantive detail, while review #3 follows a similar pattern with "Gutes Produkt.Danke" (Good product. Thanks). These brief, generic positive statements in multiple languages (German, English, Italian, French, Spanish) suggest coordinated review generation rather than organic customer experiences.
The authenticity indicators show concerning patterns: multiple extremely brief 5-star reviews (under 5 words) appearing alongside detailed negative reviews about expiration dates. The timing appears coordinated with similar review structures appearing in clusters. Emotional tone is either excessively positive with generic praise or specifically negative about expiration issues, with little middle ground. The detailed negative reviews (#7 and #14) about short shelf life appear genuine and specific, while many positive reviews lack similar specificity about actual usage experiences.
Key concerns include the high percentage of extremely brief 5-star reviews in multiple languages, the formulaic nature of positive reviews, and the stark contrast between vague positive reviews and specific negative ones. Positive indicators include the presence of verified critical reviews addressing concrete issues (expiration dates) and some detailed positive reviews that mention actual usage scenarios. However, the overall pattern suggests significant review manipulation to counterbalance legitimate concerns about product shelf life.
Key patterns identified in the review analysis include: Extremely brief 5-star reviews in multiple languages, Generic praise without specific usage details, Stark contrast between vague positives and specific negatives about expiration.
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
This appears to be a competitively positioned mid-range pre-workout supplement with positive reviews. Since the current Amazon price is unknown, compare it against the typical €15-€40 range for similar 1kg beta-alanine powders. Check for Subscribe & Save or coupon discounts to secure the best value.
MSRP Assessment
Market Position
Buying Tips
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 (3.40 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 (4.33 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.
