LH680014 LH680534 Furnace Electode Flame Sensor,Fit for Carrier Bryant Payne Day & Night Furnaces - Replaces LH680012, LH680014, LH33WZ511, LH33WZ515, and LH33WZ517

LH680014 LH680534 Furnace Electode Flame Sensor,Fit for Carrier Bryant Payne Day & Night Furnaces - Replaces LH680012, LH680014, LH33WZ511, LH33WZ515, and LH33WZ517

ASIN: B0CBQGYX29
Analysis Date: Oct 14, 2025 (re-analyzed Oct 14, 2025)

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Review Analysis Results

C
Authenticity Grade
28.00%
Fake Reviews
4.50
Original Rating
3.90
Adjusted Rating

Analysis Summary

The review set shows mixed authenticity signals. Positive indicators include natural variation in review length and content, with some detailed experiences about specific issues (heater cycling problem) and cost savings ($700 labor savings). However, concerning patterns include: 7 of 8 reviews are verified purchases (87.5%), which is unusually high; 6 of 8 reviews are extremely brief (under 10 words); and the rating distribution is polarized with 7 five-star reviews and 1 one-star review, creating a suspiciously perfect pattern. The brief, generic nature of most positive reviews ('Work well', 'ok', 'Exact replacement fit great') suggests potential incentivized or low-effort reviews, though the presence of one negative review and some detailed positive reviews provides some balance.

Review Statistics

29
Total Reviews on Amazon
-0.60
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 (3.90 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.

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