Which habits add years? Lifestyle longevity calculator
Pick the option that fits you for each habit. Every choice shows how many years the study behind it links with that habit, and the total adds them up.
Your lifestyle adds
+5 years 1 month
Together, your picks add about 5 years 1 month of life expectancy.
Compared with a baseline where every habit counts as zero: never smoked, no alcohol, 7–8 hours’ sleep, and no spicy food, coffee, nuts, steps or exercise.
See my full estimateThese studies show links, not proof. They followed large groups of people and compared those with different habits. People who walk more, for example, may also differ in many other ways, so each number is an association — not a promise of extra years.
The effects overlap. Steps and exercise measure related things, and healthy habits tend to go together, so adding them up can count the same benefit twice. Treat the total as an illustration, not medical advice.
How the years are worked out
Where a study reports a hazard ratio (HR), its effect in years is −11.5 × ln(HR), the “speed of ageing” conversion described by Spiegelhalter in the BMJ (2012). Studies that report years of life expectancy are used as published. Your picks are saved only in this page’s address after the # sign, so you can bookmark or share them.
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Frequently asked questions
What does the total mean?
It's the sum of the study-based effects of your picks, compared with a baseline where every habit counts as zero. With the typical answer for each habit it comes to +5 years 1 month. It shows what each habit is worth in the research, not how long you will live.
How are study results turned into years?
Most studies report a hazard ratio — how much higher or lower the death rate was in one group than another. We convert it with −11.5 × ln(HR), so a 10% lower rate (HR 0.9) is worth about 15 months. Where a study reports years of life expectancy directly, we use those figures.
Can the habits really be added together?
Only roughly. Habits overlap — people who walk more often exercise more too — and the studies measured associations, not causes. Adding them gives an illustration of scale, which is why the life expectancy estimate treats the result as an average, not a promise.