What Holmes and Rahe's 43 Life Change Units Actually Measured
Holmes and Rahe (1967) had 394 people rate 43 life events against marriage. The scale scores change, not distress, and explains little illness. How to use it.
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Death of a spouse is worth 100 points. Divorce is 73. Being fired is 47, a change in sleeping habits is 16, a vacation is 13 and Christmas is 12. These are the values on the Social Readjustment Rating Scale, and each number is a “life change unit” (LCU): the average amount of adjustment a group of raters said an event demands, scaled so that marriage equals 50. Holmes and Rahe (1967, Journal of Psychosomatic Research 11(2): 213-218) published the list of 43 events. It measures how much a life has to be rearranged. It does not measure distress, and it predicts illness only weakly.
The scale in numbers
I could not get the 1967 article itself, which is paywalled. The weights and the construction details below come from Wallace et al. (2023, PLOS ONE 18(12)), who reproduce the original table and method in full.
| Event | Original LCU |
|---|---|
| Death of a spouse | 100 |
| Divorce | 73 |
| Marital separation | 65 |
| Personal injury or illness | 53 |
| Fired from work | 47 |
| Pregnancy | 40 |
| Change in financial state | 38 |
| Change in residence | 20 |
| Change in sleeping habits | 16 |
| Vacation | 13 |
| Christmas | 12 |
The ratings came from a convenience sample of 394 people (179 men, 215 women) who varied in age, education, religion and race. Each was shown the events and asked how much readjustment each would take, relative to marriage, which was pre-set at 500. Holmes and Rahe averaged each event and divided by 10. So the 100 for a spouse’s death means raters, on average, put it at about twice marriage on a scale where they could score anything.
Summing is the whole method
A respondent ticks the events from the past year, usually 12 months, and adds the weights. Take someone who divorced (73), moved (20), had a change in financial state (38) and slept badly through all of it (16): 147 units. That total is my arithmetic from the published weights. Add a vacation and a Christmas and it reaches 172.
The addition assumes events stack in a straight line, so two 20-unit events cost the same as one 40-unit event. It also treats a spouse’s death as the same 100 for everyone. The 1967 raters mostly agreed on the order of events, and Wallace et al. found that 540 raters in 2021 did too (Kendall’s tau of .75 against the original weights), though their weights ran about 28 percent higher on average.
What it predicts, and how little
Rahe’s own summary, as relayed by Wallace et al., was that stressful events are “necessary but not sufficient” for illness onset. Rabkin and Struening’s 1976 review in Science (194: 1013-1020) is cited in the same paper for the conclusion that life events explain at most about 9 percent of illness variance. I read that figure in Wallace et al. and could not open the Science article. Nine percent leaves most of the variation in who gets ill to something else.
Researchers have pointed to specific flaws. Some items may be effects, not causes: a change in sleeping habits can follow a stressful job change or result from one. Christmas is unrepresentative. People with less education understood the items less well. And all of it rests on correlation, so the scale cannot tell you that a high total did anything.
Triaging a pile-up
The scale does not say what to do, so what follows is my reading of its logic and not a tested protocol.
Events cluster. A divorce brings a move, money changes and worse sleep, and the scale counts each one separately because each demands its own rearranging. The useful move is to treat the total as a list of the separate rearrangements waiting on you, then:
- Sort the list by the size of the readjustment, using the table’s rough ordering. A move (20) and a financial change (38) are smaller jobs than the separation behind them (65).
- Postpone any optional change. Nothing on the list is forcing a new job, a renovation or a diet into the same quarter.
- Pick one thing to leave exactly as it is. Sleep is the obvious candidate, partly because it is the item the contamination critique flags: a change in sleeping habits can be a symptom of the other changes. Keeping one fixed time each day gives you a way to see the symptom early.
A fixed wake-up is the cheapest of those anchors; the sleep-therapy practice of fixing wake time first rests on the same reasoning. DontSnooze, which gives you 30 seconds after the alarm to film proof you are up or sends a random camera-roll photo to your friends, is one way to hold that single time still. Nothing in the life-events research shows that a constant buffers anything, so it is a bet on a sensible habit rather than a finding.
Some pile-ups are not a choice, and the scale has little to offer there either. Bereavement has its own sleep research, and a new job comes with a predictable first-week wake-up problem. The 1967 weights suggest only that when several of these land together, the total demand is real even if the number attached to it is not a forecast.
Counting your own units takes five minutes and gives you a list of what is changing. The total at the bottom says the list is long or short, and by the 1976 review’s estimate it accounts for under a tenth of who falls ill.