Is Termometer yang Akurat Legit & Safe?
With 4.9 stars across 68,197 ratings, Termometer yang Akurat is an established app on the Google Play. The 1-3 star reviews below show the specific issues some users hit, not red flags about the app itself.
Based on public Google Play data and user reviews. Not affiliated with APPVERSE.
What users complain about in Termometer yang Akurat
Users report that the app provides inaccurate temperature readings, often significantly different from actual room temperatures measured by physical thermometers. Many complain about excessive ads that disrupt functionality, and some express concerns over the app requesting unnecessary location permissions.
Summarized from 84 recent 1-3 star reviews.
Termometer yang Akurat: frequently asked questions
Is Termometer yang Akurat legit?
Termometer yang Akurat is a legitimate app listed on the Google Play with a 4.9 star rating from 68,197 ratings. "Legit" and "good for you" are different questions: the 1-3 star reviews below show where real users run into trouble.
Is Termometer yang Akurat safe to download?
Termometer yang Akurat is distributed through the official Google Play, which screens apps before listing. The main safety questions for most users are around subscriptions, data permissions, and billing. The negative reviews below surface those concerns when users report them.
Is Termometer yang Akurat a scam?
Termometer yang Akurat is a real, store-listed app rather than a scam link. As with any app, scan the negative reviews below for billing or subscription complaints so there are no surprises after install.
Why does Termometer yang Akurat have negative reviews?
Even well-rated apps collect 1-3 star reviews when users hit specific friction: crashes, paywalls, account issues, or missing features. The reviews below group these complaints so you can judge whether they affect your use case.
Should I download Termometer yang Akurat?
For most users, Termometer yang Akurat is a safe choice given its 4.9 star rating. Skim the negative reviews below to check the edge cases (regional limits, payment methods) that the high average hides.