100W Equivalent A19 5000K Daylight LED Light Bulbs, 1500 Lumens, E26 Base, Non-Dimmable, 13W Bright White for Bedroom Home Office, 3 Pack

100W Equivalent A19 5000K Daylight LED Light Bulbs, 1500 Lumens, E26 Base, Non-Dimmable, 13W Bright White for Bedroom Home Office, 3 Pack

ASIN: B0CCSQWWNT
Analysis Date: Oct 29, 2025

As an Amazon Associate I earn from qualifying purchases.

Review Analysis Results

D
Authenticity Grade
42.00%
Fake Reviews
4.80
Original Rating
3.80
Adjusted Rating

Analysis Summary

This product shows moderate signs of review manipulation with several concerning patterns. The review set has an extremely high 5-star concentration (14 out of 15 reviews are 5-star, 93%), which is statistically unusual for most products. Multiple reviews use nearly identical phrasing about brightness ('super bright,' 'great brightness,' 'bright and worth buying') with minimal product-specific details. Several reviews are extremely brief and generic ('The best lightbulbs,' 'Nice and bright just what I was looking for thanks') lacking substantive content. However, there are some legitimate-seeming reviews with specific usage scenarios (garage door openers, RF interference testing) and one 3-star review mentioning actual product issues, which provides some balance. The brand name inconsistencies (DEGHNJU vs DEGNJU) and repetitive keyword usage suggest potential review farming alongside genuine customer feedback.

Review Statistics

1,869
Total Reviews on Amazon
-1.00
Rating Difference

Price Analysis

Price analysis pending

Price insights will be available shortly.

Understanding This Analysis

What does Grade D mean?

This product has significant review authenticity issues. Many reviews show patterns consistent with fake or incentivized reviews. Exercise caution.

Adjusted Rating Explained

The adjusted rating (3.80 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 (4.80 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.

Share This Analysis

Learn More About Fake Reviews

Analyze new product