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 […]
Each week our scan collects weak – and less weak – signals… We present below some of the most interesting or relevant features for each section. World (all matters related to war, international and national security) – An interesting statement by the US Army Chief of Staff sums up well the current situation for many countries: “I need more… Read More
While a violent battle to win the minds through information, misinformation, manipulation, and deception is at work around Syria, the international order is changing out of the interactions between players. Will the post-1945 order prove resilient enough or are we heading towards a system that will look more like a 19th century Europe, or shall… Read More
The evaluation of our 2012 predictions’ sample underlines notably a widespread conventional view of national security, novel issues being ignored; a relative inability to assess timing whilst our understanding of issues fares relatively well; the existence of major biases, notably regarding China, Russia, and the U.S; the difficulty of prediction for novel issues and old issues in new context.
This post will present the experiment – assessing a sample of open source predictions for the year 2012 – address the methodological problems encountered while creating the evaluation itself, and underline the lessons learned. The second part (forthcoming) will discuss results.
The methodology of SF&W and risk management allows addressing these points. They should become rules and principles all analysts follow. Indeed, without paying attention to them, good analysis is impossible. The first article on The Black Swan can be accessed here.
(Notably pp.190-200) Considering uncertainty, but also our imperfect condition of human beings, the complexity of the social world, feedbacks, our more than insufficient knowledge and understanding, we must ….
Second, “black swans” refer to events that could absolutely not be predicted, as, for example for the Economist in ”The prediction games: Our winners and losers from last year’s edition”. Unfortunately, in this case, the label “black swans” excuses foresight errors. It tends to stop explanations and evaluation. Similarly, some will make statements along the line of “oh, but there is no point to do any foresight (or futures work or forecast), did you not read Taleb’s Black Swan? One cannot predict or foresee anything.”
This is a rather bold statement, especially when one seeks to anticipate uncertainty and to foresee and warn. We thus need to explore the unpredictability claim further.
Horizon Scanning for National Security No83: Towards a multiplication of increasingly fragile states? This is what could mean the report on the state of infrastructures in the U.S. (and probably other so called rich countries?). It is a crucial weak signal that could trump all others: imagine weak, increasingly fragile “rich countries” on the backdrop of all the other tensions and threats…
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