TCL 65-Inch Q7 QLED 4K Smart Q LED TV with Google TV (65Q750G-CA, 2023 Model) Dolby Vision IQ, Dolby Atmos, HDR, Game Accelerator up to 240Hz, Voice Remote, Works with Alexa, Streaming Television

TCL 65-Inch Q7 QLED 4K Smart Q LED TV with Google TV (65Q750G-CA, 2023 Model) Dolby Vision IQ, Dolby Atmos, HDR, Game Accelerator up to 240Hz, Voice Remote, Works with Alexa, Streaming Television

ASIN: B0C6G1PSVP
Analysis Date: Oct 15, 2025

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Review Analysis Results

C
Authenticity Grade
28.00%
Fake Reviews
3.87
Original Rating
3.30
Adjusted Rating

Analysis Summary

The review set shows a generally authentic pattern with some minor concerns. Positive aspects include: natural rating distribution (5-star: 7, 3-star: 4, 1-star: 2), detailed technical specifications from knowledgeable users, and consistent negative experiences with specific issues. Concerns include: some overly enthusiastic language in positive reviews, minor repetition of key phrases, and a few reviews that feel slightly promotional. The 1-star reviews appear genuine with specific complaints about warranty issues and product failures. Most reviews contain personal experiences and technical details that suggest real ownership. The moderate fake percentage reflects some potentially incentivized or overly enthusiastic reviews mixed with clearly authentic feedback.

Review Statistics

453
Total Reviews on Amazon
-0.57
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 (3.30 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 (3.87 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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