To track time of day porn use, record when you first noticed the run-up and when use began. Then mark the rest of the day in equal time windows so that sleep and unobserved hours are not mistaken for clear ones. Review the record after about two weeks and describe any repeat as a pattern to test, not a forecast.
This is an hour-tracking worksheet. It does not replace the broader plan in how to stop watching porn when the pattern feels automatic, and it cannot diagnose why the pattern occurs.
Record two times without inventing a trigger
For each episode, record:
- First-noticed time: when you first became aware of an urge, a familiar routine, or a move toward access.
- Use time: when pornography use began.
The first-noticed time might be when you took your phone to bed, opened a familiar app, or noticed yourself looking for privacy. It may be the same as the use time. If you cannot identify an earlier sign, write “not noticed” rather than constructing a convincing story afterward.
This distinction matters because the use time may be too late for your easiest practical change. It does not mean every episode has a long psychological build-up.
For wider cues involving places, feelings, routines, and people, use the guide to identify your craving triggers and difficult times.
Keep each event entry short
A useful event line needs only five fields:
- date,
- first-noticed time,
- use time or “urge, no use,”
- place and preceding activity,
- urge strength on your own consistent scale.
For example:
Wednesday; first sign 10:40pm; use 11:25pm; bedroom after scrolling; urge 7/10.
An urge that did not lead to use might read:
Friday; first sign 9:10pm; no use; living room after everyone went out; urge 6/10; called a friend.
Record close to the event when doing so is private and safe. You do not need to save search terms, URLs, images, or explicit details. Those add privacy risk without improving an hour-based tally.
Mark equal two-hour windows
At the end of the day, divide your waking time into equal two-hour windows. Unequal labels such as “morning,” “afternoon,” and “late evening” make counts harder to compare because one band may cover far more time than another.
Use four simple marks:
- U: pornography use occurred.
- R: an urge occurred without use.
- C: you were awake, the window was observed, and neither occurred.
- —: asleep or not observed reliably.
A short daily row could look like this:
| Window | 5–7pm | 7–9pm | 9–11pm | 11pm–1am | 1–3am |
|---|---|---|---|---|---|
| Monday | C | C | R | U | — |
| Tuesday | C | C | C | C | — |
| Wednesday | — | C | R | U | U |
Use bands that fit your schedule. A night-shift worker might start at 3pm; someone with an early bedtime may stop at 11pm. Keep the width consistent throughout the tracking period.
Include no-use windows carefully
Research using ecological momentary assessment often combines reports made around events with reports made at other times. That comparison helps researchers avoid treating event-only observations as the whole day.
A personal log is not a controlled EMA study and cannot establish what caused your use. Still, selected no-use windows provide useful context. They show whether 11pm was observed on ten nights or only three.
Sleeping is not a clear window. Neither is a period you cannot remember well enough to classify. Mark both as unobserved rather than awarding yourself or blaming yourself for missing data.
If completing every waking band becomes burdensome, choose three fixed check-ins instead: one earlier in the day, one around the suspected difficult period, and one before sleep. Use the same check-in times each day.
Track for about two weeks before comparing hours
Two weeks is a practical starting sample, not a clinical threshold. It includes two examples of each weekday and gives unusual days less influence than a three-day log.
A 2025 daily-diary study collected 1,240 observations from 113 US men across 14 days. That supports the feasibility of short repeated reports in a research setting. It does not prove that 14 days will reveal your pattern or that findings from this male convenience sample apply to everyone.
Review briefly after the first week to check whether the form works. Save your main comparison until the end of the second week. Extend the log if illness, travel, shift changes, visitors, or another unusual event dominated the period.
Count observations as well as uses
For each two-hour band, count:
- the number of U marks,
- the number of R marks,
- the total number of observed windows, U + R + C,
- the weekdays or situations attached to those marks.
Suppose 11pm to 1am contains five uses across ten observed nights. Report it as “use on 5 of 10 observed nights,” not simply “five late-night uses.” If 7pm to 9pm has two uses but was observed on all fourteen nights, the comparison looks different.
With small counts, plain fractions are more honest than percentages. Five of ten is a description of this fortnight, not a 50% prediction for next month.
Now compare first-noticed times with use times. If the first sign repeatedly appears in the preceding window, that earlier band may offer more room for a practical change. If the two times usually match, prepare a response that can start immediately.
Let the record challenge your memory, not replace judgment
A prospective record may differ from your earlier estimate. That disagreement is useful, but it does not prove that the diary is automatically correct.
In a 10-week study of nine treatment-seeking men, interview estimates averaged 2.96 hours of pornography viewing per week, while diary records averaged 1.57 hours. The study also had important limits: only seven participants supplied the requested diary information, treatment overlapped with data collection, and some entries were missing.
The responsible conclusion is modest. Memory and repeated records can produce different pictures, and missing entries can distort either one. Keep gaps visible. Do not fill them with assumed use or assumed clear time.
Also avoid forcing one explanation onto every entry. “Late at night” may turn out to mean “after an empty evening,” “when I take my phone to bed,” or several unrelated situations.
Test one change before the repeated window
Choose the clearest provisional pattern and write one change that begins before it:
- charge the phone outside the bedroom by 10pm,
- close the laptop when work ends,
- remove saved access before the weekend,
- plan food, sleep, or another realistic activity for an empty evening,
- arrange a message or call before the repeated time.
Then prepare a response in case the urge still arrives. How to handle a craving in the moment offers a short sequence for changing location, slowing the next decision, and contacting support.
Keep logging for another week after the change. You are testing whether the plan fits the observed situation, not proving that one technique works for everyone.
If use occurs, keep the entry. What to do after a slip without erasing your progress explains how to retain the information without turning it into a judgment about yourself.
Choose private storage before you begin
An hour-by-hour pornography log is sensitive. Decide where it will live before the first entry.
A private notebook may be enough if nobody else can access it. On a phone, consider the device passcode, app lock, shared accounts, cloud backups, notification previews, and who can see exported files. If keeping a record could put you at risk, do not create one until you have a safer option.
Hard Bit can keep pornography in its own record on iPhone. It works without an account or social feed, calculates its forecast on the device, and keeps each habit’s logs, reason, and difficult hour separate. Logging, the counter, journal, hard-moment flow, and export and delete tools are free. Hard Bit Plus adds the forecast, warning message, patterns, and calendar.
The forecast shows no prediction below five entries and relies more fully on your history at around twenty. The Hard Bit overview explains those product and privacy boundaries. A paper grid remains a valid alternative.
Know when tracking is not enough
Time spent alone cannot diagnose a disorder, and watching pornography does not by itself establish one. Clinical assessment considers persistent difficulty controlling repetitive sexual behaviour and resulting distress or impairment. It also distinguishes that pattern from distress based only on moral disapproval.
Consider qualified, non-judgmental help if repeated attempts to change are not working, use is escalating, or the pattern is affecting sleep, work, relationships, finances, sexual wellbeing, or mood. Stop the exercise if logging intensifies shame, obsessive checking, or distress.
If you may harm yourself or someone else, contact emergency or crisis services now. If the behaviour involves children, non-consensual material, or another person’s safety, step away from access and seek specialist professional help immediately rather than relying on a tracker.
Our editorial policy explains how health information and product information are reviewed. More practical resources are available in the Hard Bit guide library.
Frequently asked questions
Do I need the exact minute?
No. The nearest fifteen or thirty minutes is usually enough when the final comparison uses two-hour bands. Consistency matters more than false precision.
Should I record urges that do not lead to use?
Yes. Mark them separately from use. They show that a window can be difficult without implying that use was inevitable, and they may reveal responses worth repeating.
What if no repeated hour appears?
That is a useful result. Group the same entries by place, preceding activity, privacy, device, weekday, or social situation. Your pattern may be situational rather than clock-based.
Should I combine pornography and masturbation in one entry?
Track the behaviour you intend to understand. If pornography is the target, distinguish pornography use from masturbation without pornography rather than assuming they are the same event.
Is two weeks enough?
It is enough for an initial review, not a dependable conclusion. Extend the record when observations are sparse or the fortnight was unusual. Keep describing counts as recent observations rather than predictions.
