Some warnings 1 confirmed warning. Checked: 58 reviews, the Android app’s code, the store listing and the privacy label.
From our automated analysis, 26 Oct 2026. Every label links to its evidence in the full report below.
This analysis describes version 1.4.7 of the app (the version number recorded inside the package we inspected), analyzed 2026-10-26 .
The store currently lists version 1.4.7, updated 2026-09-29.
Store screenshots supplied by the developer.
Subway Showdown，Dodge obstacles at the limit. Unleash your running instinct!
《Meme Dash: Wild Subway Run》 is more than just a parkour game —
it’s an unstoppable speed frenzy!
Dash wildly across color-exploding subway tracks,
dodge oncoming trains, leap over obstacles, slide under barriers,
and rise to become a true parkour master!
🌟 Why Choose It?
【Pure Chaos · Pure Thrill】
Fast-paced action collides with absurd meme-style humor.
Every turn, every jump can trigger an unpredictable surprise.
Logic doesn’t matter here — speed is king!
【Real Tracks · Smooth Controls】
Subway rails, city streets, forest adventures…
Seamlessly switch between multiple environments with fluid, responsive controls,racing forward at full speed in high-saturation visuals…
From the developer’s store description.
For developers and the curious
The evidence, sources, measurements and versions behind every label above.
Findings that met the published evidence standard.
Bundles 16 distinct ad networks / mediation SDKs: Amazon Publisher Services, AppLovin MAX, BidMachine, Chartboost and 12 more
The package embeds several distinct advertising or mediation SDKs — a stack built for ad volume, not for a single house ad.
Package artefact
Appworthy
sha256:b542c5fe4bc33fed527df21e1e7331721edf7d958593ab8d72bd5049844cc4b8Specific evidence of a useful property, within the stated scope.
The developer's store data-safety disclosure states that data deletion can be requested; we have not seen a deletion control in the app's own text
The developer's data-safety disclosure on the store states that users can request deletion of their data, or the app's own text offers a way to delete the account. This restates what the developer declares; it is not a test of whether deletion works. Apple publishes no equivalent disclosure, so on an Apple-only listing only the app's own text can support it.
Open observations that have not cleared the evidence bar.
The app's own text says: "Watch the entire video to claim your reward"
This observation has not cleared the required evidence standard.
Advertising volume or placement that interrupts normal use: ads between every action, unskippable or forced full-screen ads.
Package artefact
sha256:b542c5fe4bc33fed527df21e1e7331721edf7d958593ab8d72bd5049844cc4b8No review-based observation is published in this assessment. That does not establish that reviewers had no problems.
“Not assessed” means we could not measure it. It is never a zero and never a pass.
Android package 1.4.7, scanned 26 Oct 2026. These describe that package, not the current store version.
Supporting measurements: not a complete list of possible harms or positives. Measurement vocabulary 1.4 · how these are measured
This analysis describes version 1.4.7 of the app (the version number recorded inside the package we inspected), analyzed 2026-10-26 .
The store currently lists version 1.4.7, updated 2026-09-29.
Each store’s release notes, as the developer wrote them. They are the developer’s words, not ours.
No release notes were provided for this version.
meme-dashAssessed 2026-10-26 from 58 user reviews, the app's package, the store listing and its privacy label.
What the stores publish. Store ratings are the stores’ numbers, not Appworthy’s, and are never averaged across stores.
This assessment is produced automatically. Six independent signals are read — 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 — 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.
Write to [email protected], or use the form. Name the finding, the app version and the evidence that needs correcting. Factual corrections are free and never depend on buying anything.