(This article is a fully updated version of the original article published in November 2011 under the title “Creating a Foresight and Warning Model: Mapping a Dynamic Network (I)”). Mapping risk and uncertainty is the second step of a proper process to correctly anticipate and manage risks and uncertainties. This stage starts with building a model, which, once completed, will describe and explain the issue or question at hand, while allowing for anticipation or foresight. In other words, with the end of the first step, you have selected a risk, an uncertainty, or a series of risks and uncertainties, or an issue of concern, with its proper time frame and scope, for example, what are the risks and uncertainties to …
We shall now discuss the organization, indicators, and likelihood of the various partition scenarios, after having detailed the indicators and determined the likelihood for intervention in the last article. Note: In the following article, we shall use the acronym COR for the Council of Representatives (nationalists), GNC for the General National Congress (Islamists), and GNA for the UN-backed Government of National Accord (unity government). Organizing the Scenarios and Indicators Considering that external actors are already intervening in Libya, as we saw previously, as well as the fact that surrounding countries are experiencing migrant, smuggling, and jihadist spillover from Libya’s civil war, we organized the parent scenarios to account for these certainties. The next branch of scenarios—which have not occurred yet—are …
In this article and the next, we shall evaluate the likelihood of the primary scenarios for foreign military intervention, which we started to detail in “Scenarios for the Future of Libya – Scenario 2: The Joint Arab Force Takes a Side (1).” We shall focus on preliminary methodological work allowing for better describing the intervention cases for likelihood estimates. In the last article we discussed the likelihood of Scenario 1, where the Libyan actors negotiate a peace settlement—a scenario for which the probability we assessed was less than 20%, or highly unlikely. As detailed previously, we shall use the methodology developed by The Red (Team) Analysis Society, building upon Heuer (“Assessing Probability of a Scenario”, in Psychology of Intelligence Analysis, …
This article is the second of a two-parts of a series seeking to identify the impacts of the current and most probably forthcoming terrorist attacks by the Islamic State and other jihadist groups, and focuses on major socio-psychological consequences. It follows a first article, which started outlining a framework for impact assessment out of our current understanding of the economic consequences of terrorism, which notably pointed out the need to use mapping as methodology if the complex and cascading characters of these impacts are to be properly assessed. The larger aim of the series is notably to understand if businesses should or not neglect these aggressions and related geopolitical uncertainties, while finding out ways to foresee these risks so as to best design answers (see Helene Lavoix, “Businesses and Geopolitics: Caught up in the Whirlwinds? (1)”, The Red (Team) Analysis Society, 17 Oct 2016)
To find out which could be the psychological impacts of the ongoing string of terrorist attacks, we
In our previous article, we detailed a partition scenario where Libya splits into independent states along tribal and provincial lines, as well as a north-south axis, and in the one before, we focused on various possible spill over. This article focuses on a combination of the two cases, partition and spill over scenarios. In the first scenario, the Amazigh, Tuareg, and Toubou tribes outright declare independence and break away from the Libyan state, which leads to significant spill over in Algeria, Niger, and Chad. In the second scenario, Libya is partitioned along provincial lines, which leads to spill over in all directions. In the last scenario, Libya splits apart along a north-south axis located through Sirte, and bordering countries experience …
In our previous article, we detailed a spillover scenario where conflict spills over in all directions, including Europe, Algeria, Niger, and Egypt. This article is focusing on possible scenarios depicting Libya’s partition that could stem from the Libyan war. In the first scenario, the Amazigh, Tuareg, and Toubou tribes move from ideas of autonomy to outright declaring independence and breaking away from the Libyan state as a result of marginalization and lack of security. In the second scenario, Libyans begin declaring independence and breaking away from the rest of Libya along provincial lines. In the last scenario, Libya splits apart along a north-south axis located through or close to Sirte – essentially East Libya and West Libya – with the …
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.
This second article on The Black Swan: the impact of the highly improbable by Nassim Nicholas Taleb emphasises some of the author’s points that are crucial for foresight and warning. Likewise, they are necessary for any work dealing with the future and its anticipation, from risk management to horizon scanning through early warning.
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 ….
Since Nassim Nicholas Taleb published his bestseller The Black Swan: the impact of the highly improbable back in 2007, “Black Swans” and “Black Swans events” have become part of everyday language.
They are used as a catchphrase to mean two different things. First, as was the case in the Brookings interesting interactive “briefing book” Big Bets and Black Swans: Foreign Policy Challenges for President Obama’s Second Term, “black swans” represent high impact, low probability events, what is also known as wild cards.[i]
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.