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Android and iOS epic fail showdown – who takes the wooden spoon?

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A new study has raised questions over the current reliability of the iOS operating system.

According to diagnostic tests carried out by the Blancco Technology Group, iPhones now have a higher failure rate than Android devices.

Failure is defined in the report as anything from first and third-party app crashes, to loss of WiFi and Bluetooth headset connectivity, rather than the death of the hardware itself.

According to Blancco (via BGR), iOS devices had a 58% fail rate, with crashing apps topping the list, compared to 35 per cent on Android devices.

It’s a stark comparison to tests carried out in the previous quarter which pegged iOS having a 25% fail rate.

Related: iOS 10 vs Android Nougat: Which next-gen mobile OS will win-out?

In contrast, Android has actually improved according to the study, which was down from 44% in the first three months of the year.

“In the second quarter of 2016, Apple’s iOS lost the smartphone performance battle to Android,” the report says.

Plagued by crashing apps, WiFi connectivity and other performance issues, the iOS failure rate more than doubled to 58 percent quarter-over-quarter.”

Has your iPhone 6 or 6S - responsible for the greatest number of failures - been more prone to app crashes and Wi-Fi issues over the last three months?

We certainly can’t claim to have noticed, but share your thoughts in the comments below.

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Bugblatter

August 25, 2016, 4:29 pm

So iOS went from 25% to 58% in one quarter, while Android went from 44% to 35% in the same period.

Such large changes in both make me wonder at their testing methodology.

To be honest I've never found my iPad Air to be noticeably more stable than my many Android devices though.

Phil

August 25, 2016, 7:36 pm

Have to say I agree - unless something massive changed in iOS I just can't see this being realistic. There would been an outcry of people reporting more than a doubling of bugs. That said, one popular app (see: pokemon) which is poorly programmed could cause this kind of result. As you say, this smacks of sample size problems and poorly reproducible methods.

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