Amazon Basics Stainless Steel Dishwasher Safe Dinner Spoons with Pearled Edge, Large Tablespoons, 7.7 inches, Pack of 12, Silver

Amazon Basics Stainless Steel Dishwasher Safe Dinner Spoons with Pearled Edge, Large Tablespoons, 7.7 inches, Pack of 12, Silver

ASIN: B0736W5C31
Analysis Date: Oct 30, 2025

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Review Analysis Results

B
Authenticity Grade
18.00%
Fake Reviews
4.60
Original Rating
4.20
Adjusted Rating

Analysis Summary

The reviews show a generally authentic pattern with some minor concerns. Positive aspects include: natural variation in review length and detail, specific usage scenarios (coffee, ice cream, meds), mixed language (Italian review), and reasonable product-specific comments about spoon size. Concerns include: extremely high 5-star concentration (14/16 reviews), some repetitive phrasing about 'sturdy' and 'heavy' quality, and a few overly enthusiastic but brief reviews. The single 1-star review appears genuine and discusses a different product (forks), adding credibility. Overall, this appears to be a legitimate product with enthusiastic customers, though the rating distribution suggests some potential review inflation.

Review Statistics

2,486
Total Reviews on Amazon
-0.40
Rating Difference

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 (4.20 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 (4.60 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.

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