Why what worked for someone else doesn’t always work for you

Someone tells you the thing that fixed their sleep. You try it. It doesn’t take. Here is what the research says about why, and why willpower isn’t the whole story.

It usually arrives in good faith. A friend stopped drinking after eight and started sleeping through. A colleague swears by the 6am walk. Your brother-in-law has a whole system.

So you try it. And for a week or two it half works, or it doesn’t, and then a bad Tuesday comes along and it quietly stops. You don’t decide to abandon it. It just isn’t there any more.

Most of us read that as a personal failing. The research doesn’t.

First, the thing everyone has been told is wrong

You have probably heard it takes 21 days to form a habit. It doesn’t, and the number never came from habit research at all. It traces to a 1960 book by a plastic surgeon, describing how long his patients took to get used to their changed appearance.3

When researchers at University College London actually measured it, they asked volunteers to repeat one new daily action in the same setting and tracked how automatic it felt. The median time to reach the top of that curve was 66 days. The range ran from 18 days to 254.1

The useful finding isn’t 66. It’s the spread.

Estimated habit-formation times in that study varied from 18 to 254 days. A later review of twenty studies found much the same picture, and an even wider individual range.2 So if something hasn’t stuck in three weeks, nothing has gone wrong. You were told a number that was never true.

Wanting it isn’t the problem

The obvious explanation for a thing not sticking is that you didn’t want it enough. That is measurable, and it has been measured.

Pooling 25 samples and nearly 30,000 people, researchers found that among people who genuinely intended to be physically active, fewer than half followed through. The gap between intending and doing was 47.6%.5 An older analysis of experiments found that when you successfully change what someone intends to do by a lot, you change what they actually do by rather less.4

Intending is not nothing. It is just a long way short of enough, for almost everybody.

The study that explains it best moved 115 people to a new university

In 2005, researchers followed students transferring between universities. They measured three ordinary habits before the move and again a month after: exercising, watching television, and reading the paper.6

Strong habits survived the move. But only under one condition.

Exercise habits survived when people kept exercising in the same kind of place. Change the setting, and the habit went. Television habits survived when the new viewing situation felt like the old one. Newspaper reading survived when people still read it with other people, as they had before.

Same people, similar intentions. When important parts of the context changed, established habits were less likely to persist.

The action is what travels between people. The context that made it work is what stays behind.

That is the whole of it. When your friend tells you what worked, they are handing you the visible part. What they cannot hand you is the hour they get home, the person who is or isn’t in the kitchen, how they slept, what else is already in the week, and the twenty other things that made the action make sense for them.

We copy people anyway, and we don’t notice

Copying isn’t a flaw. It is one of the most reliable findings in the field. A review of 69 experiments, across more than 5,800 people and forty years, found that people take their cue from those around them for what and how much to eat. 64 of the 69 found the effect.7

Two details matter. We copy people we want to be like, or think we resemble. And it happens largely without our noticing.

So the instinct to borrow someone else’s answer is deeply human. It is also why the answer so often arrives with nothing attached to it.

Stopping is common. The numbers don’t tell us why.

A study of nearly 390,000 fitness app users tracked what happened to beginners. Around 9 in 10 stopped within a year, and the median time to dropping out was 19 weeks.8 A separate analysis of mental health and wellbeing apps found that of the people who install one, around 3 to 4% are still using it a month later.9

Those numbers show the scale of the problem. They do not explain it. Someone who solved their problem and stopped looks exactly like someone who gave up, and leaving an app is not the same as stopping exercise. The studies measure how hard persistence is, not why it fails.

Our own reading, and it is a reading rather than a finding, is that copy, try, struggle, start again is the only method most of us were ever given. If context is what holds a behaviour in place, then keeping the context and adjusting inside it should be a more useful response than starting over. That is what we have built. It is not what these studies prove.

The genuinely hopeful part

If context is what holds a behaviour in place, then a change of context is an opportunity, not just a disruption.

Researchers call this the habit discontinuity hypothesis. In a field experiment with 800 people, a behaviour-change intervention worked better on people who had recently moved house, and the window appeared to stay open for about three months.10 A study of 18,053 people in a UK national survey found the same pattern, fading as time since the move increased.11

And one of the better-studied ways to help an intention become action is to decide in advance exactly when and where it happens. The classic review of 94 studies found a meaningful effect on whether people actually do the thing.12 It is twenty years old now, and it only helps people who already want the outcome. Within those limits it holds up.

What none of this says. None of these studies is about Crowdseek, and none of them shows that our approach works. They describe how change behaves in general. We think that reasoning points somewhere useful, and you should judge the reasoning rather than take our word for it. Every limitation we know of is listed with the sources below.

What we do instead

Crowdseek starts at the other end. Not with an action that worked for somebody else, but with what you actually want back, and the life the plan has to fit inside.

You get a small plan, not an overhaul. Each morning we ask one question and you answer in a line. When something stops fitting, we change the smallest useful thing rather than handing you a new programme. There is no score, and a hard week leaves no backlog to make up.

Right now it does sleep. Movement opens next.

Which one sounds like you?

Know what matters. Know what to do next.

Start with what matters to you. We’ll build a small plan around it, and change it as your life changes.

Start with your reason, free

Free while we’re in beta. No card, and nothing to cancel.

Related reading: why sleep trackers can make tired people feel worse. Sleep clinicians have described a pattern they call orthosomnia, where chasing a better score makes sleep worse.13 It is the same argument as this article, applied to one device.

Sources, and what each one does and doesn’t show

We have included the limitations because a research page without them isn’t research, it’s decoration.

  1. Lally, P., van Jaarsveld, C., Potts, H. & Wardle, J. (2010). How are habits formed: Modelling habit formation in the real world. European Journal of Social Psychology, 40(6), 998–1009. doi.org/10.1002/ejsp.674 96 volunteers took part, but the 66-day median comes from the 39 whose data fitted the model well. The study ran 84 days, so the longest estimates are projections beyond what was measured. Automaticity was self-reported.
  2. Singh, B., Murphy, A., Maher, C. & Smith, A. E. (2024). Time to form a habit: a systematic review and meta-analysis. Healthcare, 12(23), 2488. doi.org/10.3390/healthcare12232488 20 studies, 2,601 people. Medians of 59 to 66 days, means of 106 to 154, and an individual range of 4 to 335 days. Only four studies contributed timing estimates and 11 of the 20 were judged at high risk of bias.
  3. Gardner, B., Lally, P. & Wardle, J. (2012). Making health habitual: the psychology of habit-formation and general practice. British Journal of General Practice, 62(605), 664–666. doi.org/10.3399/bjgp12X659466 This is our source for the 21-day claim originating with Maxwell Maltz and his plastic surgery patients, rather than with habit research. We have not quoted Maltz directly.
  4. Webb, T. L. & Sheeran, P. (2006). Does changing behavioral intentions engender behavior change? Psychological Bulletin, 132(2), 249–268. doi.org/10.1037/0033-2909.132.2.249 47 experimental tests. A medium-to-large change in intention produced a small-to-medium change in behaviour. It shows a gap. It does not identify the cause.
  5. Feil, K., Fritsch, J. & Rhodes, R. E. (2023). The intention-behaviour gap in physical activity. British Journal of Sports Medicine, 57(19), 1265–1271. doi.org/10.1136/bjsports-2022-106640 25 samples, 29,600 people. Physical activity only, so the 47.6% should not be read across to sleep or diet. Relies on self-reported activity.
  6. Wood, W., Tam, L. & Guerrero Witt, M. (2005). Changing circumstances, disrupting habits. Journal of Personality and Social Psychology, 88(6), 918–933. doi.org/10.1037/0022-3514.88.6.918 115 US university students in an unusual life transition. Behaviour and context similarity were both self-reported, and the move was not randomly assigned. One study, not replicated directly as far as we know.
  7. Cruwys, T., Bevelander, K. & Hermans, R. (2015). Social modeling of eating. Appetite, 86, 3–18. doi.org/10.1016/j.appet.2014.08.035 69 experiments, 5,800+ people, mostly laboratory studies of a single eating occasion. It does not show lasting change, and a 64-of-69 hit rate across forty years of small studies is itself a reason for caution.
  8. Conti, F., Marzagão, T., Galpin, A. & Schoenfeld, B. (2026). Predictors of long-term resistance exercise adherence. Frontiers in Sports and Active Living, 8, 1855668. doi.org/10.3389/fspor.2026.1855668 389,481 users. One author works for the company that supplied the data, which is disclosed in the paper. It measures logged workouts, so it tracks leaving the app rather than necessarily stopping exercise.
  9. Baumel, A., Muench, F., Edan, S. & Kane, J. (2019). Objective user engagement with mental health apps. Journal of Medical Internet Research, 21(9), e14567. doi.org/10.2196/14567 93 Android apps, via a commercial analytics panel. Someone who solved their problem and stopped looks the same as someone who gave up.
  10. Verplanken, B. & Roy, D. (2016). Empowering interventions to promote sustainable lifestyles. Journal of Environmental Psychology, 45, 127–134. doi.org/10.1016/j.jenvp.2015.11.008 800 people, and the behaviours were environmental rather than health. The three-month window is one estimate from one experiment. Treat it as indicative.
  11. Thomas, G. O., Poortinga, W. & Sautkina, E. (2016). Habit discontinuity, self-activation, and the diminishing influence of context change. PLOS ONE, 11(4), e0153490. doi.org/10.1371/journal.pone.0153490 18,053 people, representative of the UK, but cross-sectional and about travel behaviour. It cannot see what people did before they moved.
  12. Gollwitzer, P. M. & Sheeran, P. (2006). Implementation intentions and goal achievement. Advances in Experimental Social Psychology, 38, 69–119. doi.org/10.1016/S0065-2601(06)38002-1 94 studies, but a book chapter rather than a journal article, twenty years old, and without the publication-bias checks expected today. The authors note it does nothing for people who don’t want the goal in the first place.
  13. Baron, K. G., Abbott, S., Jao, N., Manalo, N. & Mullen, R. (2017). Orthosomnia: are some patients taking the quantified self too far? Journal of Clinical Sleep Medicine, 13(2), 351–354. doi.org/10.5664/jcsm.6472 A clinical case series and commentary, not a study. There is no evidence about how common this is, and we have not implied any.

One thing we deliberately left out. It is often said that people respond very differently to the same exercise programme. The most recent evidence suggests much of that apparent difference may be measurement error rather than real variation between people, so we have not used it. Our argument is about circumstances, not physiology.