Thermalright TL-C14CW CPU Cooler Fan, 140mm Case Fan with 4-PWM Control, Low Noise, White : Amazon.co.uk

Thermalright TL-C14CW CPU Cooler Fan, 140mm Case Fan with 4-PWM Control, Low Noise, White : Amazon.co.uk

ASIN: B0CS6G9JVZ
Analysis Date: Dec 13, 2025

Review Analysis Results

U
Authenticity Grade
0.00%
Fake Reviews
0.00
Original Rating
0.00
Adjusted Rating

Analysis Summary

No reviews could be extracted for analysis. This may occur when Amazon is actively blocking automated review collection, implementing anti-bot measures, or when the product genuinely has no customer reviews. Our system will automatically retry this analysis periodically to check if reviews become available.

Review Statistics

0.00
Rating Difference

Price Analysis

This Thermalright 140mm PWM fan likely falls in the mid-range of case fan pricing. Given the lack of reviews and current price data, UK consumers should compare against established alternatives like Arctic, Noctua, or be quiet! fans before purchasing. Monitor the price for a few days and verify seller credibility due to the zero-review status.

MSRP Assessment

Estimated MSRP: £15-£20
Source: Product category average
Amazon Price: Unable to compare

Market Position

Positioning: Mid-range
Alternatives Range: £8-£30
Value: Thermalright offers good build quality and PWM control at competitive pricing compared to similar 140mm case fans.

Buying Tips

Best Time to Buy: PC component sales often occur during Black Friday, Cyber Monday, and Amazon Prime Day events.
Deal Indicators: Look for prices below £12, bundle deals with other cooling components, or free shipping offers.
Watch For: Zero reviews and unknown current price require extra verification; check seller ratings and return policies carefully.
Price analysis generated by AI based on product category and market research. Actual prices may vary. Last analyzed: Dec 13, 2025

Understanding This Analysis

What does Grade U mean?

Grade unavailable for this product.

Adjusted Rating Explained

The adjusted rating (0.00 stars) represents what we estimate this product's rating would be if fake reviews were removed. The ratings are similar, suggesting fake reviews aren't significantly impacting the overall 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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