The Internet Sucks
Why The Star Ratings Are All Four Point Seven
Review scores cluster near the top because only the delighted and the furious bother writing, requests arrive at the happiest moment, and anything short of five reads as a complaint.

Every restaurant, driver, plumber and gadget sits somewhere between four and a half and five stars. A scale with five positions is being used as though it had two.
People review from the extremes
Leaving a review costs time and returns nothing to the person writing it, so the motivation has to come from somewhere. Delight and outrage both supply it. Mild satisfaction does not.
The resulting distribution is J-shaped, with a large pile at the top, a small pile at the bottom and almost nothing in the middle where most actual experiences live.
An average calculated across that shape is not describing a typical experience. It is describing the ratio between two groups of unusually motivated people.
The request arrives at the happiest moment
Platforms prompt for a rating immediately after delivery or completion, when the transaction has just succeeded and nothing has yet had time to go wrong.
Ask a week later, after the thing has been used properly, and the scores come out lower. The timing of the request is a design choice with a predictable effect.
Prompts are also often skipped after failed transactions, so a portion of the worst experiences never gets asked for an opinion at all.
Anything below five is treated as a complaint
In many marketplaces the operating thresholds sit remarkably high, and sellers or contractors whose averages slip risk reduced visibility or removal from the platform.
That turns a four-star rating, which in plain language means good, into a meaningful penalty. Everyone on the supply side knows it, and asks customers accordingly.
Buyers learn the convention too, and start rating generously to avoid causing harm over something minor. The scale is compressed from both ends at once.
The scale collapsed to two values
What survives is a binary. Five means fine, and anything else means something went wrong, with the intermediate numbers carrying almost no information.
This is why a four-point-two average feels alarming while a four-point-seven feels normal, despite both sitting comfortably in the upper half of the range.
Readers have calibrated to the compressed scale without being told it exists, which works until they encounter a platform that compresses it differently.
The average hides the shape
Two products with identical averages can have entirely different distributions, one with consistent middling scores and one alternating between perfect and dreadful.
The second is far riskier to buy, and the single headline number treats them as equivalent. The histogram, where it is shown, is more informative than the figure above it.
Counting reviews matters too. An average built from a handful of ratings tells you mainly that few people have bought the thing.
Questions readers ask
How do I tell if a page is filler?
Check whether any sentence makes a claim that could be wrong. Restated questions, unsourced numbers and answers buried at the end are the common markers.
Are search operators still worth learning?
Yes. Site restriction, date filtering and exact-phrase matching all still work and bypass a great deal of the ranked page.
Also by Jhilik Mahapatra
- The meeting that was an email, and the three that were the same emailWorkplace BS
- Corporate language exists to make a decision sound like weatherWorkplace BS
- The first four results are advertisements and the label is grey on greyThe Internet Sucks
- Mandatory training: forty minutes of clicking next to prove you were thereWorkplace BS





