Ecowitt Wireless Digital Thermometer Hygrometer Monitor - Temperature Humidity Meter, WH31(WN31) LCD Multi Channel Sensor (1 PC) for Home Office

Ecowitt Wireless Digital Thermometer Hygrometer Monitor - Temperature Humidity Meter, WH31(WN31) LCD Multi Channel Sensor (1 PC) for Home Office

ASIN: B0957GMN8Z
Analysis Date: Nov 3, 2025 (re-analyzed Nov 3, 2025)

Review Analysis Results

B
Authenticity Grade
18.00%
Fake Reviews
4.67
Original Rating
4.20
Adjusted Rating

Analysis Summary

The reviews show a generally authentic pattern with detailed technical discussions, specific product comparisons, and realistic user experiences. Most reviews contain substantial technical content about weather station integration, compatibility issues, and specific sensor performance. The rating distribution shows mostly 5-star reviews (11/15) with some 4-star and one 3-star, which is reasonable for a technical product. However, there are minor concerns: several very brief reviews (like 'Top', 'A1+', foreign language single sentences) that lack substance, and one duplicate review (R1AWAAJ8B4L14U appears twice with identical content). The detailed technical discussions about specific integrations (Home Assistant, Cumulus weather, Docker) and comparisons with competing brands (Youshiko, Bresser, Froggit) suggest genuine user experiences rather than manufactured content.

Review Statistics

668
Total Reviews on Amazon
-0.47
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 (4.67 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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