The advice for a bad period comes in two flavours. One says it will pass — you will adapt, happiness returns to its level, this is temporary. The other says happiness is a choice you are currently failing to make.
The first has real evidence behind it and is half wrong in a way that matters. The half that is right is genuinely useful, and the half that is wrong is the half people are usually told.
You will feel better sooner than you predict
This part is solid. Across a series of studies, people asked to forecast how they would feel after a bad event — losing a job, a relationship ending, an election going the wrong way — consistently overestimated how long and how intensely it would affect them.
The reason has a name: immune neglect. People have a psychological immune system — rationalising, reframing, finding compensations — that operates largely without their knowledge. Because they cannot see it working, they leave it out of the forecast, and predict a future in which nothing has helped.
That is why the prediction is wrong in a consistent direction rather than randomly. You are not bad at guessing. You are omitting a specific variable.
The forecast, not the feeling
The durability bias is an error in prediction, not a claim that the event does not hurt. What the research establishes is that the imagined future is systematically bleaker than the future turns out to be — which matters most for decisions made while the forecast is running.
But you will not necessarily return
The other half of the story is where the popular version breaks down.
The hedonic treadmill model — that good and bad events move happiness temporarily before people adapt back — was formally revised by three of the researchers who did most to test it. They set out five corrections, and the fourth is the one that changes what you can honestly tell someone.
- Set points are not hedonically neutral. Most people are mildly happy most of the time, not at zero. There is no neutral baseline to return to.
- People have different set points, partly dependent on temperament, so “you will return to normal” means a different thing for different people.
- One person can have several set points. Pleasant emotions, unpleasant emotions and life satisfaction can move in different directions at once — you can be more satisfied and no less distressed.
- Set points can change. The authors call this perhaps the most important revision: some conditions move the baseline itself, permanently.
- People differ in whether they adapt at all. On the same event, some individuals return and some do not.
Those revisions were not a softening. The authors are explicit that the original model implied efforts to increase happiness are doomed, and that the corrections are what restore the possibility of doing something.
Where the treadmill came from
It is worth knowing how thin the original foundation was, because the idea became load-bearing.
The famous 1978 study compared lottery winners with accident victims and reported that the differences in happiness were smaller than anyone expected — the finding that launched the treadmill metaphor and, through it, four decades of advice about circumstances not mattering.
What it was, in fact, was a small cross-sectional comparison of three groups at one moment in time. It could not follow anybody, could not establish a baseline to return to, and could not distinguish adaptation from the possibility that the groups differed beforehand. It was a striking result that deserved to prompt research, and it did.
The research it prompted is what revised it. That is the system working; the failure was in the popular version, which kept the 1978 headline and ignored the thirty years of panel data that came after.
The documented case is unemployment
The clearest evidence for a moved set point comes from a fifteen-year study of more than 24,000 people in Germany.
The pattern started out exactly as set-point theory predicts. People reacted strongly to becoming unemployed, then shifted back towards their previous levels of life satisfaction.
They did not get all the way back. On average, people did not completely return to their former levels of satisfaction even after becoming re-employed.
And a second finding is sharper still. Contrary to what adaptation theory predicts, people who had been unemployed before did not react any less badly to a new period of unemployment. There was no toughening. The experience did not build tolerance for its own repetition.
What these two literatures can and cannot say together
They are not in conflict, and it is worth being clear why. Affective forecasting studies measure a prediction error over weeks and months. The panel studies measure actual life satisfaction over years. Feeling better sooner than you expected and never quite getting back to where you were are both possible, and in the unemployment data both happened.
What neither can do is tell you which you are. The panel finding is an average across 24,000 people, and the fifth revision says individuals differ in whether they adapt at all.
What that leaves you able to say to somebody
Not much of the standard script survives, which is a useful result rather than a bleak one.
“You’ll get over it” is a prediction that is right about the shape and unreliable about the endpoint. “It won’t matter in a year” is contradicted for at least one well-documented class of event. “You’ll be stronger for it” is directly contradicted by the finding that previous unemployment did not soften the next one.
What holds is smaller and more honest: it will very likely hurt less sooner than you currently believe, the belief that it will not is a known and specific error, and whether things fully return is genuinely uncertain and depends partly on which event and partly on who you are.
Try this
Write down, now, how you expect to feel about this in three months. Put a number on it. Date it and put it somewhere you will find it.
In three months, read it back before deciding anything.
The durability bias is a prediction error, and the only way to see your own is to have written the prediction down. Most people discover their forecast was too bleak, which is worth knowing the next time — because the next forecast will be made by the same system, in the same conditions, with the same variable missing.
The parts of this that are genuinely hard
The most uncomfortable implication is the one about circumstances. If some events move the baseline permanently, then the reassurance that you will adapt to anything is not merely optimistic — it is an argument for leaving things as they are. The set-point model was used that way for decades, and the revision matters partly because of what it stops justifying.
There is also an asymmetry the advice never mentions. The durability bias means your prediction of future distress is too high. It applies to positive forecasts too — people also overestimate how long good events will lift them — and nobody offers that as consolation.
And none of this is a substitute for help. A bad period that persists, that changes how you sleep, work or relate to people, or that includes thoughts of harming yourself, is a matter for a doctor or a crisis service — in the United States, 988, free, by call, text or chat, at any hour. An article about forecast errors and set points is describing populations. It cannot see you.
The bottom line
Two findings, both robust, pointing in different directions. You will almost certainly feel better sooner than you currently predict, because your forecast leaves out the machinery that does the recovering. And you may not come all the way back: across 24,000 people over fifteen years, unemployment moved life satisfaction and did not fully release it even after re-employment, and prior experience of it provided no protection at all.
Which makes the useful sentence neither “this will pass” nor “choose happiness.” It is that your prediction of the next three months is probably too dark, and that the question of whether things fully return is open — so it is worth not deciding the rest of your life inside the worst month of it.
Sources (4)
Every factual claim in this article comes from one of these sources.
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