Phone addiction statistics that do not overclaim

“Phone addiction” is a useful search phrase and a bad measurement category. It makes a single number sound like a verdict about a person, when most studies are measuring something narrower: minutes on a device, visits to an app, or answers to a questionnaire.

Start with the definition

Before comparing two statistics, ask four questions:

1. Who was measured? Adults, teenagers, internet users, and a convenience sample are different populations.
2. What was measured? Total phone use, time online, social-media use, one app, or self-reported use.
3. How was it measured? A device log is not the same as a survey estimate.
4. When was it measured? Platform use and app features change quickly.

Ofcom’s Online Nation 2025 report gives a clean example. It says UK adults spent an average of four and a half hours online per day. That is a useful description of online life. It is not four and a half hours of social media, and it is not a prevalence estimate for addiction.

The category mistake

High use can be ordinary. A nurse checking schedules, a student watching lectures, and a person messaging family all contribute to screen time. A duration number cannot tell you whether the time was chosen freely, whether it displaced something important, or whether the person tried and failed to stop.

The reverse is also true. A short session can be disruptive if it happens during every task, every night, or every attempt to sleep. The useful question is not “How many hours is too many?” It is “What does the session do, and can it end when you intend it to?”

A better reading rule

Treat a statistic as a description, not a diagnosis.

• Use population statistics to understand scale.
• Use device logs to understand your own pattern.
• Use validated questionnaires only for the construct they were designed to measure.
• Use your own repeated observations to decide whether a boundary would help.

If a headline turns one average into a medical label, open the source. It probably changed the question while keeping the number.

What a useful intervention measures

Last Ferry does not call anyone addicted. It reports the minutes in the apps you chose, applies one shared daily budget, and puts a known price in front of an unlock. The point is not to win an argument with a statistic. It is to make the next decision visible before it happens.

That is also why the app’s own data is deliberately modest. The totals stay on the phone. A number can tell you what happened today; it cannot tell you who you are.

Sources

• Ofcom, Online Nation 2025 — official UK online-time reporting and methodology.
• American Psychiatric Association, Internet Gaming Disorder — an example of why problematic behavior is assessed through a pattern, not duration alone.