Your Solo Moves Predict Team Success, But Who You Follow Only Emerges In Groups

Have you ever wondered if how you act when you're alone can predict how you'll behave in a group? A new study looked at this by analyzing three public datasets of human collective foraging, with 621, 128, and 1,133 participants. They measured how people moved when alone and then in a group, and found that certain individual movement patterns were stable and could predict group behavior to some extent. Specifically, a low-dimensional representation of private-phase movement predicted behavior inside the group with correlations of 0.30 to 0.66. This suggests that some aspects of our solo behavior carry over to group settings.

However, the study also found that selective social learning—the tendency to follow those who have succeeded or stopped—showed stable individual differences within the group but was not predicted at all from the same person's private behavior. In other words, whom you choose to follow in a group only emerges when you're actually in that group; it can't be predicted from how you act alone. This is a crucial distinction because it means that some group dynamics are inherently social and cannot be reduced to individual traits.

Group performance itself was predicted with a correlation of 0.55 across all three datasets. This prediction came from simulations that were never fitted to group outcomes, or simply from the average of individually measured performance. The prediction was carried by mobility and individual performance rather than by social weights. Interestingly, there was no credible evidence for an effect of how members were combined, with an equivalence bound of 0.06. This implies that the way a group is composed might not matter as much as the individual capabilities of its members.

Overall, the findings delimit what solitary measurements can predict and compose. While some aspects of group behavior can be forecast from individual behavior, the social aspect of whom to follow only emerges in company. This has implications for team formation, online collaboration, and even social media dynamics. It suggests that to truly understand group behavior, we need to study people in groups, not just alone.