NumNum Baby Spoons Set, Feeding Littles x Silicone Pre-Spoon GOOtensils for Baby Led Weaning, Self-Feeding & Teething, First Stage Toddler Utensils for Ages 6+ Months, 3-Pack, BPA-Free (Neutrals)

NumNum Baby Spoons Set, Feeding Littles x Silicone Pre-Spoon GOOtensils for Baby Led Weaning, Self-Feeding & Teething, First Stage Toddler Utensils for Ages 6+ Months, 3-Pack, BPA-Free (Neutrals)

ASIN: B0CCW7278L
Analysis Date: Oct 30, 2025

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Review Analysis Results

B
Authenticity Grade
18.00%
Fake Reviews
4.93
Original Rating
4.50
Adjusted Rating

Analysis Summary

The reviews show a moderately suspicious pattern with 94% 5-star ratings (16/17 reviews) and only one 4-star review, creating an unusually positive distribution. Several reviews contain repetitive language about 'baby led weaning,' 'easy to hold,' and 'teether' functionality, suggesting potential coordinated promotion. However, most reviews include specific, realistic usage details and minor criticisms that lend authenticity. The duplicate reviews (R1W8DCVAHFRZZ1 and R1RG176YJIRIVX appearing twice) are concerning but could be system errors. Overall, while there are some red flags, the detailed personal experiences and varied writing styles suggest mostly genuine reviews with potential minor manipulation.

Review Statistics

1,591
Total Reviews on Amazon
-0.43
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 (4.50 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 (4.93 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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