![Detroit Axle - 2WD Shock Absorbers for 1997-2003 Ford F-150, 1998 1999 2000 2001 2002 Shock Absorbers Front Rear Replacement - [Models Except 7700LB GVW]](https://m.media-amazon.com/images/I/61u99hXkY7L._AC_SL1200_.jpg)
Detroit Axle - 2WD Shock Absorbers for 1997-2003 Ford F-150, 1998 1999 2000 2001 2002 Shock Absorbers Front Rear Replacement - [Models Except 7700LB GVW]
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Review Analysis Results
Analysis Summary
The overwhelming majority of these reviews appear genuine, with only minimal indications of potential manipulation. All reviews are verified purchases, which significantly increases their authenticity likelihood. The reviews display a natural distribution of ratings (5, 5, 5, 5, 4, 5, 2, 5) that reflects typical customer experiences with automotive parts, including both satisfaction and occasional issues with shipping or missing hardware.
Strong evidence of authenticity includes detailed personal context in multiple reviews. Review #1 provides specific vehicle information (2001 F150 crew) and mentions testing over a year with specific performance observations. Review #5 offers a balanced perspective with a 4-star rating due to shipping issues but ultimately praises the product's performance, demonstrating authentic problem-solving. Review #7 provides the most detailed negative experience with specific vehicle details (1997 F150 short bed 2x4) and a technical complaint about missing hardware, which reads as genuinely frustrated rather than manufactured criticism.
The only potential concern is the presence of several very brief reviews (#3, #6, #8) that offer minimal detail beyond generic praise. However, these represent a small minority (3 of 8 reviews) and are common in authentic review ecosystems where some customers simply leave quick positive feedback without elaboration. There are no clear manipulation patterns like repetitive marketing language, coordinated phrasing, or suspicious timing.
Overall, this appears to be a typical set of reviews for a functional automotive product. The detailed reviews with specific vehicle information and problem narratives strongly indicate genuine customer experiences. While a few brief positive reviews lack detail, they don't demonstrate clear manipulation patterns and could easily represent satisfied customers who didn't elaborate. The presence of a detailed negative review further supports the authenticity of the overall feedback.
Key patterns identified in the review analysis include: Specific vehicle model/year references, Mention of installation or shipping experiences, Performance observations over time.
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
Detroit Axle shocks are positioned as budget-friendly replacements for 1997-2003 Ford F-150s, with strong customer ratings suggesting good value. Check current Amazon price against the typical $40-$120 per shock range, and prioritize sellers offering complete kits with positive verified reviews. Given the vehicle's age, these represent a practical balance of cost and function.
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 (4.30 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 (4.50 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.
