A sequence of linked effects; for example, A causes B which then causes C. The potential for error grows at each stage, thus reducing predictive ability. However, causal chains lead judgmental forecasters to think the outcomes are more likely because each step seems plausible. Causal chains are useful in developing <a href="search.pl?p=scenarios">scenarios</a> that seem plausible. <o:p></o:p></P>