Le biais d'omission — pourquoi ne rien faire semble plus sûr qu'agir
The hidden cost of doing nothing — and six ways to make inaction a visible choice
What is omission bias in decision-making?
Omission bias, documented by Spranca, Minsk, and Baron (1991), is the tendency to judge harmful inactions as less morally blameworthy than equally harmful actions — and to choose inaction even when acting would produce better outcomes. It is driven by the moral asymmetry between doing and allowing: a harm you caused feels authored, and therefore attributable to you, while an identical harm you merely permitted feels like something that happened. Because the felt blame differs while the outcome does not, the bias systematically underweights the real costs of not acting — and it is strongest exactly where the stakes are highest, in medical decisions, safety choices, and any situation where the passive default is quietly the worse option. Recognizing it does not remove the asymmetry; it converts a default you never noticed into a choice you can actually weigh.
Spranca, Minsk, and Baron (1991) documented omission bias through scenarios showing that people consistently judged harmful inactions as less blameworthy than equivalent harmful actions, even when outcomes were identical. The bias is particularly consequential in medical decisions (refusing a vaccine vs. accepting one that causes the same risk), policy debates (passive harm vs. active harm), and personal choices where the safe-feeling default is actually worse than the uncomfortable alternative. Jonathan Baron and colleagues developed this line of work across a research programme in judgment and decision-making, and the finding has held up as one of the more robust asymmetries in the field. The reason it is so hard to correct is that the asymmetry is not a reasoning error you can simply notice and drop — it tracks a real feature of moral responsibility, since causing and allowing genuinely are different in most ethical accounts. The failure is one of calibration rather than of principle: the discount we apply to inaction is far larger than the moral difference warrants, and it operates automatically even when we would reject it on reflection. That is why the practices here do not argue you out of the intuition. They target the specific mechanism instead: making the costs of inaction as vivid, concrete, and explicitly stated as the costs of action, so that the comparison happens on equal footing.
Pratiques
- Appliquez le test d'équivalence des résultats
Demandez-vous : si le même tort résultait de l'action ou de l'inaction, laquelle préféreriez-vous ? La divergence révèle le biais.
- Auditez explicitement le coût de l'inaction
Écrivez les torts de ne rien faire dans les mêmes termes concrets que vous utiliseriez pour les torts d'agir.
- Appliquez le modèle vaccinal : comparez les résultats de population, pas les voies individuelles
Demandez-vous : si 1 000 personnes faisaient face à ce choix, quel serait le tort total de l'inaction universelle contre l'action universelle ?
- Recadrez l'inaction comme un acte positif
Décrivez ce que vous faites en n'agissant pas — transformez l'omission en action affirmée.
- Identifiez que l'inaction est aussi un choix ayant un poids moral
Rappelez-vous que ne rien faire reste une décision dont vous êtes responsable.
- Retracez les effets de second ordre de l'inaction
Cartographiez ce qui se passe en aval si vous différez — l'inaction a souvent des conséquences composées invisibles au point de décision.
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Concepts associés
- Le biais de statu quo — pourquoi on s'en tient au défaut
Les racines cognitives de l'inertie — et six façons de faire de vrais choix plutôt que des non-choix
- Le biais de planification — Pourquoi vos estimations sont toujours fausses
Le biais cognitif derrière les échéances manquées — et six corrections fondées sur des preuves
- L'heuristique de l'affect — quand les sentiments remplacent les faits
Comment les sentiments immédiats façonnent la perception du risque — et comment les calibrer