V12 Filter Replacements for Dyson V12 Detect Slim, Detect Slim Animal, Slim+ Cordless Vacuum and V12 Slim Absolute Vacuums, SV34, SV35 Vacuums Filter Replacement, Compare to Part 971517-01, 3 Pack
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Review Analysis Results
Analysis Summary
The review set shows moderate authenticity concerns but appears mostly legitimate. Analysis reveals: 1) All 8 reviews are verified purchases (V), which increases credibility. 2) Rating distribution is heavily skewed with 7/8 reviews being 5-star and only one 4-star, creating an unnatural perfection bias. 3) Review content shows reasonable variation in writing style and specific details (mentioning Dyson V12 model, filter washing routine, price comparisons), but several reviews follow similar praise patterns focusing on price and fit. 4) The reviews lack the detailed usage experiences and minor criticisms typical of genuine reviews, with most being brief and overly enthusiastic. The combination of perfect ratings with repetitive praise themes suggests some potential incentivized or artificial content mixed with likely genuine reviews.
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.
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Price Analysis
Price analysis pending
Price insights will be available shortly.
Understanding This Analysis
What does Grade C mean?
This product has moderate review authenticity concerns. A notable portion of reviews show suspicious patterns. Consider reading reviews carefully before purchasing.
Adjusted Rating Explained
The adjusted rating (4.30 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 (4.88 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.
