Analyzed automatically. Assessed 2026-10-04 from 447 user reviews. We have not scanned the app's package, so nothing on this page was read from inside the app itself.
This analysis describes version 1.3.55 of the app, analyzed 2026-10-04 . The app may have changed since.
The store currently lists version 1.3.55, updated 2026-04-16.
What the analysis found
Positive evidence 1
Things this app does right, published at the same strengths as the catch list.
One source only — shown, not confirmed 1
A single kind of evidence. We publish these because withholding them would be the bigger distortion, and we do not treat any of them as a finding we stand behind.
What reviewers said
Verbatim excerpts from public store reviews, shown as corroborating user reports. They are not Appworthy audit evidence, and a quotation is not proof of the finding it sits under.
Reports that the ads misrepresent the app
I was shown this game via an add that showed what looked like a pressure wash simulator. I then pressed to install and look at photos of the game, which also showed the same thing (pressure washing) on a level by level basis. There were…
I can only imagine the positive reviews on this game are paid for. Insane false advertising, which has become just someone we put up with now when it comes to mobile games. The ads have you controlling the spray, but when you play, you…
Another fraudulent advert leads to another boring game. The gameplay is nothing like the adverts. Bored within 5 minutes. How Devs keep getting away with this sort of rubbish, I'll never understand. Avoid this "game".
What this app sells
How the automated analysis works
This assessment is produced automatically. One independent signal is read — user reviews — and each candidate finding is filed under the source that supports it.
No charge stands on one kind of evidence — with one published exception. A finding is either a measured fact that anyone can reproduce (an ad SDK is in the package; every subscription bills weekly; the privacy label omits a tracker we can see), or it is an interpretation — and an interpretation needs independent sources to agree before it reaches the catch list. The exception is a harm only users can see: a charge may publish from reviews alone, as “Reported by N users”, once enough reviewers raise it to clear that charge’s own published bar. That agreement rule is what replaced the human reviewer, not a model’s confidence.
There is no overall score, on purpose. A 0–99 number was published here until 2026-09-15. It was withdrawn because it discriminated too weakly to be the instrument — 44.7% of every pair of apps tied — and because a single number is a verdict where a count is an observation. What publishes instead is a row of measurements, each of which says what was counted and, where we could not look, says that instead.
Findings under One source only are real reports we do not stand behind as findings. They are shown because withholding them entirely would hide a genuine complaint, and labelled because publishing them as charges would be an accusation off a single source.
Several measurements above say “Not assessed” because no artefact we hold can answer them. A human review is what resolves those — and it can remove a favourable band as easily as add one.
Hands-on inspections are not yet open.