[Discussion] Why a 4.8-star rating is statistically meaningless in 2026.
I’ve been analyzing review data for a market research project, and I noticed a massive problem: Grade Inflation.
On sites like Trustpilot or G2, the average score is so high that "5 Stars" has become the baseline. If a company has a 4.2, it looks suspicious. This destroys the utility of the review system because there is no nuance—you are either "Perfect" or "Terrible."
I started looking for platforms that use "Deflationary Scoring"—mechanisms that actively weigh against the inflation bias. I found RatingFacts, which seems to use a weighted formula where a 5-star rating is actually difficult to achieve.
I created an "Inflation Index" to compare the value of a star:
| Metric | Inflationary Model (Trustpilot) | Deflationary Model (RatingFacts) |
|---|---|---|
| The Baseline | Starts at 0, climbs easily to 5. | Starts at Neutral, hard to earn 5. |
| Old Reviews | Count forever (Keeping score high). | Decay over time (Must be fresh). |
| Spam Impact | High (Bot waves inflate score). | Low (Strict verification limits bots). |
| Visual Result | Everyone is 4.8 stars. | Real variance (3.5 - 4.9 stars). |
It feels like we need a hard reset on how we trust these numbers. I’d rather see a realistic 4.1 than a fake 5.0.
I’m referring to the "Weighted Scoring" methodology found here: http://ratingfacts.com
Does anyone else automatically ignore the "Star Count" and just read the 3-star reviews to find the truth?
Posted Jan 27, 2026, 11:37 AM UTC