dalattin 24 Pack LED Bulbs Daylight White 5000K, 60 Watt Equivalent A19 Standard Bulbs, E26 Base, 800 LM, Efficient 9W Energy Saving, Non-Dimmable, 80+ CRI, 120V, UL Listed, for Living Room, Office

dalattin 24 Pack LED Bulbs Daylight White 5000K, 60 Watt Equivalent A19 Standard Bulbs, E26 Base, 800 LM, Efficient 9W Energy Saving, Non-Dimmable, 80+ CRI, 120V, UL Listed, for Living Room, Office

ASIN: B0CZL9T5NQ
Analysis Date: Oct 29, 2025

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Review Analysis Results

C
Authenticity Grade
28.00%
Fake Reviews
4.93
Original Rating
4.20
Adjusted Rating

Analysis Summary

The review set shows moderate authenticity concerns with several suspicious patterns. While many reviews appear genuine with specific details about installation experiences and realistic expectations about lifespan, there are notable red flags: multiple reviews use nearly identical phrasing about 'great price and quality,' some contain generic praise without substantive details, and there's a high concentration of 5-star ratings (14 out of 15 reviews). The duplicate review from user R36RVAVTH9BFPY is particularly concerning. However, the presence of a 4-star review with specific packaging criticism and several reviews mentioning realistic limitations (ceiling fan compatibility, brightness concerns) provides some balance. The mix of English and Spanish reviews appears organic rather than coordinated.

Review Statistics

1,833
Total Reviews on Amazon
-0.73
Rating Difference

Price Analysis

Price analysis pending

Price insights will be available shortly.

Understanding This Analysis

What does Grade C mean?

This product has moderate review authenticity concerns. A notable portion of reviews show suspicious patterns. Consider reading reviews carefully before purchasing.

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 (4.93 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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