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Science2 publishers3 min readPublished

Rissho experiments find personal history outweighs reputation when people judge refusals to help

Rissho University researchers report, from two scenario experiments in Japan, that people judge a refusal to help by how the refused person once treated them. Theories of cooperation built on shared reputation now have to account for a private signal that counted only when someone said no.

The Scientist · Science desk

Illustration accompanying Rissho experiments find personal history outweighs reputation when people judge refusals to help

What happened

  • A Rissho University team led by Hitoshi Yamamoto published the work in Evolution and Human Behavior on Sept. 14, 2026.
  • The team ran two scenario-based experiments with participants in Japan, one set among restaurant coworkers and one among neighbors in a community.
  • When a requester's public reputation clashed with how they had treated the participant, ratings of a refusal to help them followed the participant's own experience.
  • Helping was rated positively whatever the requester's reputation or past treatment of the participant.
  • Refusing a requester who had a bad reputation and had also once refused the participant drew a neutral rating, not a positive one.

Compiled by The ScientistSomething wrong?How this is made

Why it matters

  • constraint Accounts of indirect reciprocity built on shared reputation leave out the input that, in these experiments, set how a refusal was judged.
  • exposure Anyone who declines a request is judged partly on the observer's private history with the requester, a history the person declining may never have seen.
  • cost In the scenarios tested, withholding help from a known defector as a sanction brought the person doing it no gain in standing with onlookers.

The participants in these experiments were bystanders. Each read a scenario in which one person helped or turned down a request from another, then rated the person who answered. The researchers varied two things about the requester: standing in the wider group, and whether that requester had earlier helped or refused the participant [3]. So the history that mattered was the judge's own, with the person who had been turned down.

That setup aims at a gap in the theory. Indirect reciprocity is the idea that people size up someone's moral standing through third-party reputation before deciding whether to help [10]. Earlier work concentrated on reputation that everyone shares [9]. Pitting the shared signal against the private one shows which wins when they disagree. With reputation, history and the response each taking two values, the design crosses into eight combinations [1]. Because the researchers assigned the cues themselves, the effect of history is causal within the scenarios [3].

Refusals moved in both directions. A requester with a bad reputation who had once helped the participant made turning them down look worse [5]. A well-regarded requester who had once snubbed the participant made it look better [6]. Neuroscience News described the first case as judged "far more harshly" and the second "much more leniently" [11]. Neither write-up gives the size of those shifts or the number of people who took part.

The forgiving case is reported only as a comparison, a refusal rated "more positively" [6]. The one refusal given an absolute label in the coverage is the most defensible case, and it landed at neutral [8]. On what was reported, personal history could make a refusal look worse or more forgivable. No condition described made refusing look good, and help got no such adjustment [7].

The thing this doesn't tell you is what people do next. These are ratings of written scenarios. Whether an observer who marks a refusal down would later decline to help the refuser is a behavioral question, and a rating task cannot answer it. The participants were in Japan [2], so the weighting of history over reputation is shown for that population and those vignettes.

"In everyday life, we judge others by combining many different kinds of information, including what we hear about them from others and what we have experienced ourselves," Yamamoto said [12]. "Our study provides one clue to understanding how people make judgments when these sources of information do not agree," he said [13]. His next project moves to settings where the cue that dominated here is scarce. "In future research, we would like to examine how people use reputational information in environments where direct personal experience is limited, such as online rating systems and AI-mediated judgments," he said [14].

What to watch

  • Sample sizes and effect sizes in the full Evolution and Human Behavior paper, which determine how large the history effect on refusal ratings is.
  • Replications outside Japan, or with real-stakes cooperation games, that test whether the neutral rating for a justified refusal holds beyond written scenarios.
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