PIPIPOXER 80x40cm Table Roulante pour Lit Canapé, Table d'Appoint Bureau Mobile Réglable en Hauteur 62-90cm, Bureau Informatique 4 Roulante Verrouillable, Table d'Appoint pour Chambre, Bois

PIPIPOXER 80x40cm Table Roulante pour Lit Canapé, Table d'Appoint Bureau Mobile Réglable en Hauteur 62-90cm, Bureau Informatique 4 Roulante Verrouillable, Table d'Appoint pour Chambre, Bois

ASIN: B0D22STFHB
Analysis Date: Sep 15, 2025 (re-analyzed Sep 15, 2025)

Review Analysis Results

B
Authenticity Grade
18.00%
Fake Reviews
4.28
Original Rating
3.90
Adjusted Rating

Analysis Summary

The reviews show a generally authentic pattern with 85% 5-star ratings and diverse, detailed content across multiple languages (French, German, Spanish). Most reviews contain specific usage scenarios, assembly details, and balanced feedback. However, there are some minor concerns: a few very brief 5-star reviews (R3SLYOM57BRWOA, R1C0OMLC9XXO73, R171BQW2K3JI5E) that lack detail, and one potentially emotional review (R1XVLU9R1HLJJ7) that could be fabricated for sympathy. The presence of verified (V) and unverified (U) purchases with consistent themes and the negative reviews appearing authentic (RE6PN61T9F42I, R38A79KD716SK9) suggest overall legitimacy with a small percentage of potentially inauthentic content.

Review Statistics

200
Total Reviews on Amazon
-0.38
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 (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 (4.28 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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