Social sharing and risk reduction:
Exploring a computational algorithm for the psychology of windfall gains
Abstract
Sharing important resources widely beyond direct kin group members is one of the core features characterizing human societies. Moreover, generalized exchange involving many community members (e.g., meat sharing in bands) seems to be a uniquely human practice. This paper explores a computational algorithm for the psychology of social sharing that may underlie such practices, based on the risk-reduction hypothesis in food sharing of Kaplan and Hill [Curr. Anthropol. 26 (1985) 223]. We predicted that, independent of the amount of effort actually invested, uncertainty involved in resource acquisition is a key factor that triggers the psychology of social sharing for both acquirers and nonacquirers of a resource. It was also predicted that the “windfall effect” is independent of individual preferences as to modern distributive ideologies. Four multisample/multimethod studies, using Japanese and American participants, and laboratory as well as vignette experiments, supported these predictions: although the identical fungible resource (money) was under consideration, different psychological processes were triggered, depending on the degree of uncertainty involved in the money acquisition. Implications of the windfall effect for egalitarianism in resource sharing, observed not only in hunter–gatherer bands but also in highly industrialized societies, are discussed.
Keywords: Resource sharing, Risk reduction, Computational algorithm, Egalitarianism
To access this article, please choose from the options below
PII: S1090-5138(01)00086-1
© 2002 Elsevier Science Inc. All rights reserved.
