Psychology · Free calculator

Phone Addiction Score Calculator

Score problematic smartphone use across ten markers — first thing in the morning, phantom checking, sleep, and whether you have tried to cut down and failed.

Short answer

Phone Addiction Score Calculator

20Phone use score

Automatic checking without much cost yet. Small friction changes work very well at this stage. You scored 20/40 (50% of the maximum), with 10 of 10 items in the upper half. The single highest item was "My phone is the first and last thing I look at each day" — that is usually the most useful thing to bring up first, because specific examples get better help than a general "I've been off lately."

How it's calculated: 20 out of 40 — habitual range on this scale. Adjust the inputs below to recalculate for your own numbers.

Disclaimer: For reflection and self-awareness, not clinical assessment. Scores are based on published, widely used research frameworks but this tool is not a validated instrument and results should be treated as a conversation starter, not a verdict.

New here? Watch it work in 2 seconds — then tweak it for you.
2

0 = never · 1 = rarely · 2 = sometimes · 3 = often · 4 = almost always

2

0 = never · 1 = rarely · 2 = sometimes · 3 = often · 4 = almost always

2

0 = never · 1 = rarely · 2 = sometimes · 3 = often · 4 = almost always

2

0 = never · 1 = rarely · 2 = sometimes · 3 = often · 4 = almost always

2

0 = never · 1 = rarely · 2 = sometimes · 3 = often · 4 = almost always

2

0 = never · 1 = rarely · 2 = sometimes · 3 = often · 4 = almost always

2

0 = never · 1 = rarely · 2 = sometimes · 3 = often · 4 = almost always

2

0 = never · 1 = rarely · 2 = sometimes · 3 = often · 4 = almost always

2

0 = never · 1 = rarely · 2 = sometimes · 3 = often · 4 = almost always

2

0 = never · 1 = rarely · 2 = sometimes · 3 = often · 4 = almost always

Try it like this

Tap a scenario to load realistic numbers, then tweak the sliders.

Formula used

How the score is calculated

Ten items scored 0–4 and summed to 0–40. The markers mirror those used across behavioural-addiction scales: salience, loss of control, failed attempts to reduce, withdrawal-like unease, tolerance (needing more time), conflict with other activities, concealment, and continued use despite harm. Raw screen-time hours are deliberately excluded — they predict distress poorly compared with these markers.

Total = sum of 10 items (0–4 each) → 0–40 → severity band
Items
10
Per-item range
0–4
Time to complete
About 2 minutes
Score range
0–40
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Friction beats willpower

The interventions that actually move this score are physical and boring: charging the phone outside the bedroom, greyscale, deleting the two worst apps from the phone while keeping them on desktop, and turning off every non-human notification. Each adds seconds of friction to an automatic behaviour, which is where automatic behaviours break.

  • Start with the sleep item — it has the largest knock-on effect on mood and attention.
  • Replace rather than remove: an automatic habit needs somewhere to go.

The failed-cut-down item is the diagnostic one

Heavy use with full control is a preference. Moderate use with repeatedly failed attempts to reduce is the actual definition of problematic use — and it is the item most people skip past when self-assessing.

FAQ

Is phone addiction a real diagnosis?

Not a formal one. Gaming disorder is recognised; problematic smartphone use is a well-studied research construct rather than a diagnosis. This tool is educational.

How many hours a day is too many?

Hours alone are a weak signal. Two hours of intentional use is different from two hours of automatic checking, which is why this scale measures control and displacement instead.

Do screen time limits work?

Built-in limits help mildly; people learn to dismiss them. Physical friction and app deletion outperform them consistently.

How this calculator is built

Independently maintained

Written by Sam Doshi and the RevenueLab editorial team. We don't sell the data feeds this tool is built on.

Sourced from primary data

Benchmarks come from public AdSense / Stripe / IRS disclosures and reader-submitted data — never third-party "$X per view" claims. Full methodology.

Last editorial review

Reviewed on a rolling quarterly cycle. Dated reviews are published on the methodology record for each calculator.

Editorial standards

See our editorial policy and disclaimer. Results are estimates, not advice.

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