Whatβs the catch? Multiple ad networks bundled β measured, backed by SDKs in the app package.
Analyzed automatically from 6 independent signals that had to agree β not a hands-on test, and not human-reviewed.
This analysis describes version 1.5.7 of the app (the version number recorded inside the package we inspected), analyzed 2026-10-05 . The app may have changed since.
The store currently lists version 1.5.7, updated 2026-04-24.
What the analysis found
The catch list 2
Charges we publish at a strength we stand behind: measured from an artefact, agreed by independent sources, or reported by enough users to clear that charge's own published bar.
Positive evidence 1
Things this app does right, published at the same strengths as the catch list.
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
I paid for the full app thinking it would remove the ads. Even after paying to remove the ads, there are so many ads my daughter cannot play the game. It's a waste of space, do not download this.
I love the game but why I gave it a 4 π is because I hate the fact that there are so many ads while playing the game I hope u fix the problem ASAP πππππ ππΎππΎππΎ thank you.
Sadly, I dont find this enjoyable, first. The ads! There is an ad after EVERY SINGLE TASK. And it's very annyoying. The game is perfectly good. But the ads ruined it. Plus there is some ads that shouldn't be on a children's cooking gameβ¦
What this app sells
How the automated analysis works
This assessment is produced automatically. Six independent signals are read β user reviews, SDKs in the app package, the app's own on-screen text, the app manifest, the store listing and the store privacy disclosure β and each candidate finding is filed under the sources that support it.
No charge stands on one kind of evidence β 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 β 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 βReported by N usersβ, once enough reviewers raise it to clear that chargeβs own published bar. That agreement rule is what replaced the human reviewer, not a modelβs confidence.
There is no overall score, on purpose. A 0β99 number was published here until 2026-09-15. It was withdrawn because it discriminated too weakly to be the instrument β 44.7% of every pair of apps tied β 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 βNot assessedβ because no artefact we hold can answer them. A human review is what resolves those β and it can remove a favourable band as easily as add one.
Hands-on inspections are not yet open.