TOPDON TC002C Thermal Camera, 512 x 384 Super Resolution, 256 x 192 IR Resolution, Thermal Imager for iPhone 17/16/15 Series & iPads with Type-C Port, -4°F~1022°F Temp Range, Upgraded Version of TC002

TOPDON TC002C Thermal Camera, 512 x 384 Super Resolution, 256 x 192 IR Resolution, Thermal Imager for iPhone 17/16/15 Series & iPads with Type-C Port, -4°F~1022°F Temp Range, Upgraded Version of TC002

ASIN: B0D3DZV19P
Analysis Date: Nov 9, 2025 (re-analyzed Nov 9, 2025)

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Review Analysis Results

C
Authenticity Grade
28.00%
Fake Reviews
4.87
Original Rating
4.20
Adjusted Rating

Analysis Summary

The reviews show a mix of genuine and potentially suspicious content. While most reviews appear authentic with specific use cases and technical details, there are several concerning patterns: the product has an unusually high concentration of 5-star reviews (14 out of 16 reviews), with only two 4-star reviews and no lower ratings. Several reviews contain repetitive language and similar structural patterns. There's one duplicate review (R39OH68P1X3NUM appears twice) which is highly suspicious. The reviews also show some formulaic language patterns and excessive enthusiasm that appears manufactured. However, many reviews contain specific technical details, realistic use cases, and genuine-sounding experiences that balance out the suspicious elements.

Review Statistics

711
Total Reviews on Amazon
-0.67
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 (4.87 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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