Analyzed automatically. Assessed 2026-10-04 from 445 user reviews, the store listing and its privacy label. We have not scanned the app's package, so nothing on this page was read from inside the app itself.
This analysis describes version 1.0.45 of the app, analyzed 2026-10-04 . The app may have changed since.
The store currently lists version 1.0.45, updated 2026-09-18.
What the analysis found
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.
Aggressive ad load
other than ads it's a fun game. some ads are like 2 min long which is ridiculous. an ad shouldn't Last longer than 10-15 seconds or at least skip able at that length.
This game really cheats. It makes you think you are playing other players but it's really bots. You can tell by how they draw one bone when you send them into the bone yard and of course it's the money bone. Also has ads after every…
The game is fun, but there's way to many temu adds. I don't mind a few quick adds, but you can't get rid of temu within 15 to 24 adds at a time. that's insane. it makes you want to delete the game, and that's a shame because it's a fun…
What this app sells
How the automated analysis works
This assessment is produced automatically. Three independent signals are read — user reviews, the store listing and the store privacy disclosure — and each candidate finding is filed under the sources that support 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 It was withdrawn because it discriminated too weakly to be the instrument — 44.7% of every pair of apps tied — and because a single number is a verdict where a count is an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.