The paper is Action repetition biases choice in context-dependent decision-making, by Ben J. Wagner, H. Benedikt Wolf and Stefan J. Kiebel in Communications Psychology. It drew a fresh round of coverage on Wednesday after write-ups from TU Dresden and ScienceDaily. The team ran nine new decision-making tasks and reanalysed six previously published datasets — more than 700 participants in total.
The result cuts at a standard explanation for “irrational” preference. The textbook story is that people store the value of an option relative to the context they learned it in, which is why a choice that looked great in one setting looks great in another where it shouldn’t. Dresden’s finding is that a large share of that effect is something simpler: repetition. Options a participant had picked more often within a context were later chosen more often, rated as better, and held with less uncertainty — including against options they had never been directly compared against.
The mechanism the authors propose is the boring one, which is usually the right one. Recalling what you did last time is computationally cheap. Re-evaluating from scratch is expensive. The brain leans on the shortcut harder than the leading models assumed, and the shortcut leaves a fingerprint on the value you would report if someone asked you to rate the option cold.
Where this shows up at work
Almost every recurring business decision is a repeated action inside a stable context: the vendor you renew, the recurring meeting nobody cancels, the tool you open first, the candidate profile you keep hiring, the channel you keep buying. If repetition inflates perceived value, then “we’ve evaluated it and it’s still the best option” and “we’ve picked it a lot” produce the same confident sentence in a meeting. The study says those two states feel identical from the inside.
Our take: The counter-move is structural, not motivational — you cannot willpower your way out of a shortcut you can’t feel. Three changes that work with the finding rather than against it. One: at renewal, price at least one alternative before you look at the incumbent’s quote, so the comparison happens while the default is still cold. Two: give recurring meetings and subscriptions an expiry date, so continuing requires an active decision rather than silence. Three: when you review your calendar, audit the block that has repeated most often, not the one that annoys you most — annoyance is a bad proxy for value, and repetition is the thing that has been rewriting the score.
The limits
Take the finding for what it is. These were short computer-based decision tasks, two rounds at a time, with modest stakes — not procurement committees or hiring panels, and the leap from one to the other is an inference, not a result. The 15 datasets were collected under different designs and pooled, which strengthens the pattern but muddies any single effect size. And the paper is a model-comparison exercise: it argues that action repetition explains the data better than the leading context-dependent-value account, not that relative valuation does not exist.
What to watch
- Field replications where the choices carry real money — subscriptions, supplier renewals, portfolio rebalancing.
- Whether a forced-comparison intervention actually reverses the bias, or just adds a step people learn to rubber-stamp.
- How this interacts with AI defaults. An assistant that repeats your last choice may be shaping your preference as well as serving it.
