Therefore, on balance, our results suggest that Danto was substantively correct. As the number of events being evaluated grows, successful predictions will be increasingly outnumbered by events that seem insignificant at the time, but which come to be viewed as important by future historians in part because of events that have not yet taken place. More generally, our results provide further evidence for the observation that the combination of nonlinearity, stochasticity and competition for scarce attention that is inherent to human systems poses serious difficulties for ex ante predictions—a pattern that has previously been noted in outcomes such as political events, success in cultural markets, the scientific impact of publications and the diffusion of information in social networks. Given that historical significance is typically evaluated on longer time scales than these other examples, it is especially vulnerable to unintended consequences, sensitivity to small fluctuations and reinterpretation of previous information in light of new discoveries or societal concerns. A further complication is that historical significance, even when it can be meaningfully assigned, is specific to observers whose evaluation may depend on their own idiosyncratic interests and priorities. Although we speak of history as a single entity, in reality there may be many histories, within each of which the same set of events may be recalled and evaluated differently.
That is from Joseph Risi, Amit Sharma, Rohan Shah, Matthew Connelly, and Duncan J. Watts in Nature, in their new piece “Predicting History.”
Via William A. Benzon.