Franklin Sensors M24Sa, 24-inch Precision Digital Box Level/Electronic Leveler Tool, Made in the USA
As an Amazon Associate I earn from qualifying purchases.
Review Analysis Results
Analysis Summary
The reviews show a generally authentic pattern with 15 out of 16 reviews being verified purchases (94% verification rate), which is a strong indicator of legitimacy. The rating distribution is heavily skewed toward positive reviews (14 five-star, 2 four-star, no negative reviews), which is somewhat suspicious but plausible for a high-quality tool. Review content shows good specificity about product features (magnetic properties, angle setting functionality, LED indicators, build quality) and personal usage experiences. However, the lack of any critical reviews and some repetitive phrasing across multiple reviews suggests possible mild manipulation. The overall pattern indicates mostly genuine reviews with a small percentage of potentially incentivized or artificial positive 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.
Free, quick to install, and works on Chrome, Edge, Brave, and other Chromium browsers.
Price Analysis
Price analysis pending
Price insights will be available shortly.
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 (4.30 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 (4.75 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.
