What if you spent your life like you spent last week?
Add the activities from your last week, estimate the time you spent on them, and see how much of your life they would add up to. It makes the long-term cost of small habits visible.
Free · no account required
What we use our Life for
How much of their precious lifetime people sacrifice, on average, for different activities.
* Activities can share time (e.g. listening to music while working), so the sum of years may exceed usual life expectancy.
What this site does
What is this? A thought experiment: if the way you spent last week kept repeating, how much of your life would end up in each activity? Small choices about where your time goes quietly add up into years. This makes that visible so you can decide if that tradeoff actually makes sense to you.
Add the activities from your past week, estimate how much time you spent on each, and the tool projects what that would look like across your lifetime. You can then compare how differently your life would look if you adjusted those choices. If last week was unusual, use a more typical week instead—but keep in mind that the further you rely on memory, the less accurate your estimates become.
Scope matters
One hour a week feels harmless. Easy to ignore, easy to justify. But most people already know there are things they would rather do less—scrolling, passive consumption, small habits that don’t add much. And at the same time, there are things they wish they had more time for. The problem is not the hour. It is what that hour becomes over time.
Social media as an example
One hour a day on social media adds up to roughly 3 years over a 65-year adult life. Three full years spent scrolling. Now reduce that by just 20 minutes a day. That alone cuts it down to about 2 years. One year of your life recovered. Not by a radical change, just by a small, consistent adjustment. Small habits feel small. Over time, they are not.
Self-report, public statistics, and limits
This is not a scientific study. Anything you enter in the tool is self-reported: it reflects memory, mood, and how you chose to label your week—not a validated diary or a representative sample. You should not treat outputs as medical, legal, or labour-market facts, or as rankings against other people.
The illustrative global averages on this site are a starting lens, not a claim that your row matches a peer-reviewed OECD table line for line. They were informed by publicly available time-use material from the OECD Data Explorer so visitors have a rough sense of scale. Full technical documentation can live on the Data & processing page when the product matures.
Source: OECD time use (WISE)
OECD (2026), Time use — DSD_TIME_USE (OECD.WISE.INE), OECD Data Explorer, OECD Data Explorer (time use) (accessed on 11 April 2026).
In this build, your answers are processed mainly in your browser. If pooled reporting or a backend is added later, retention, aggregation, and opt-out will be described on the Data & processing page linked in the footer.