12% versus 99.98%: What Organ Donor Forms Say About Your Snooze Button

In the table behind a famous 2003 Science paper, Germany sits at about 12% and Austria at about 99.98%. Same continent, similar wealth, neighbouring languages. What differed was the form: Germans had to opt in to organ donation, and Austrians had to opt out. Eric Johnson and Daniel Goldstein’s “Do Defaults Save Lives?” made that gap the standard illustration of the default effect, the habit of staying with whatever option was already ticked.

Short answer to the question in the headline: your phone’s snooze button works like Austria’s donor form. It is the pre-selected, one-tap option, so most mornings it wins, and changing the setting changes the outcome more reliably than trying harder. The rest of this post is about how much weight that claim can bear, because the organ-donation evidence is messier than its reputation.

What did Johnson and Goldstein actually find?

Two things. First, the country comparison above, reported as “effective consent”: the share of people covered by a donor registration under each country’s rules. The figures I am quoting (Germany 12%, Austria 99.98%) come from secondary retellings; I could not open the paper’s full text, so check it before you cite them yourself. Second, an online experiment in which participants imagined a donor form whose pre-selected answer varied. As secondary summaries report it, about 42% became donors when the form required opting in, about 82% when it required opting out, and about 79% when no answer was pre-selected and people had to pick one.

That third number is the interesting one. When nobody’s choice was pre-filled, most people said yes. Opting in looks like the odd condition, the one that suppressed a willingness people mostly had.

Does the default effect hold up outside the lab?

Partly. The weak spot is the jump from registrations to organs. A review of nudging and organ donation in PMC notes that opt-out raises the number of potential donors, while its effect on actual deceased donation is debated. It cites Arshad and colleagues (2019), who compared 35 countries and found no significant difference in actual donation rates between the two regimes. Spain, which leads the world in donations, is usually credited to its transplant coordination network and to asking families, and its transplant organisation has reportedly called presumed consent a distraction.

Newer work cuts the same way. Dallacker and colleagues (Max Planck Institute for Human Development, Public Health, 2024) looked at five countries that switched to opt-out (Argentina, Chile, Sweden, Uruguay and Wales) and found the switch did not lift deceased donation rates beyond the existing trend. Their suggestion was investment in coordination, plus conversations with relatives, plus perhaps mandated choice.

So the organ story supports a narrower claim than the poster version. A pre-selected option shifts what people record on a form. It does not, by itself, rebuild a hospital.

What happened when companies changed the 401(k) preset?

This is the cleaner evidence, because the outcome is the behaviour itself and not a long chain of hospital decisions. Brigitte Madrian and Dennis Shea studied a large US company that moved from requiring employees to elect 401(k) participation to enrolling them automatically unless they declined (Quarterly Journal of Economics, 2001). Among employees with 3 to 15 months of tenure, 37% participated under the old rules and 86% under automatic enrolment. Nothing about the plan’s economics changed.

The paper also shows how sticky the preset was. Most auto-enrolled employees stayed at the company’s starting contribution rate of 3% and its starting fund, 100% in a money market fund, a combination fewer than 1% of earlier hires had picked for themselves. People did leave it over time: the share on some other arrangement rose from 7% to 37% across the first 15 months. The authors’ explanations were inertia and the possibility that employees read the preset as the company’s advice. If you want the wider argument over how far such nudges generalise, a piece on publication bias in nudge research goes into the corrected effect sizes.

Why does snoozing win most mornings?

Because of what the alarm screen offers. When the alarm rings, the largest, most reachable control either silences it for a short interval or lets you carry on. For years that interval was nine minutes on the iPhone; iOS 26 lets you choose anything from 1 to 15 (the story of where the nine came from is told elsewhere). In the Clock app, Snooze is a per-alarm toggle you have to switch off alarm by alarm, and a third-party guide says new alarms start with it on. Apple’s own pages describe the toggle but I could not find an Apple statement of the starting value, so that part is unconfirmed.

What matters is the asymmetry. Snoozing costs one tap and nothing visible happens. Getting up costs a decision you have to make while the least capable version of you is making it. The alarm is Germany’s donor form in a bedroom: the effortful answer is the one that requires action, and the easy answer is already filled in. Thaler and Sunstein’s term for this is choice architecture, and no layout of that screen is neutral.

No one has run a trial of alarm presets against wake-up time, so everything from here on is inference from the donation and savings studies, not a result.

How do you change your morning settings?

Work from cheapest to most demanding.

1. Turn Snooze off on the alarm you rely on. Open the alarm in the Clock app and switch the toggle. If you cannot bring yourself to, shorten the interval so the preset at least buys you less sleep to be torn out of.
2. Make the stopping action bigger than a tap. Put the phone across the room, or in the bathroom. Dismissing the alarm then requires standing, which is the nearest thing a bedroom has to Thaler’s mandated choice: no answer, no silence.
3. Keep one backup, elsewhere. The 401(k) data suggests a preset lasts for months, and the downside is a missed morning when a single alarm fails. A second alarm on a different device handles that without reintroducing a snooze loop.
4. Notice the 7%-to-37% curve. People drifted off the preset as it cost them. Expect to drift back to snoozing in week two or three, and plan for it by checking the toggle rather than by trusting resolve.
5. Add a consequence that someone else can see. This is the step settings cannot do alone, and it is where the old idea of a commitment device comes in.

On that last point: a switched-off snooze toggle is still silent when you fail. You sleep in, nobody knows, and the next morning looks the same. DontSnooze tries to give the skipped morning a visible price: when the alarm fires you have 30 seconds to film yourself up, and if you do not, a random photo from your camera roll goes to your friends. That reverses the usual arrangement, because the pre-selected outcome of doing nothing is no longer quiet.

What the organ evidence should make you cautious about

A preset shifts the answer people record, and where the real outcome depends on other parts of the chain, as donation does on hospitals and families, it can disappoint. Your morning has fewer links. The chain from alarm to standing up runs through you, a phone and a bed, which is why changing the setting is more likely to matter here than it was in the donor registries. That is a plausible argument, and the argument is all it is until someone tests it.