Scenarios: Improving the Impact of Foresight thanks to Biases

Foreseeing the future, whatever the name given to the endeavour, includes two major tasks.

The first one is, of course, the analysis, the process according to which the foresight, forecast, warning, or, more broadly, anticipation is obtained.

The second one is less obvious, or rather so evident that it may be overlooked. It is, however, no less vital than analysis. We need to deliver the output of the analytical process to those who need the foresight, the decision-makers or policy-makers. Ideally, the recipients must understand that output, because they will act on it. They need to integrate the new knowledge received in the decisions they will take.*

A huge challenge runs across these tasks: biases.

We must overcome the various natural and constructed biases – systematic mental errors – that limit human understanding. This article will present first the classical way we deal with biases: we consider them – quite rightly – as “enemies” and we devote much effort to mitigate them. Then, considering the specificity of the delivery stage, this article suggests that another strategy is necessary. We need to turn our usual strategy on its head and befriend biases. In that case, scenarios become a tool of choice for an enhanced delivery of our foresight to decision-makers […]

To access this article, you must become one of our members. Log in if you are a member.