In an earlier post about forecasting, I mentioned the work by Nassim Taleb on the concept of black swan. In his remarkable book, “The Black Swan”, Taleb describes at length the characteristics of environments that can be subject to black swans (unforeseeable, high-impact events).
When we make a forecast, we usually explicitly or implicitly base it on an assumption of continuity in a statistical series. For example, a company building its sales forecast for next year considers past sales, estimates a trend based on these sales, makes some adjustments based on current circumstances and then generates a sales forecast. The hypothesis (or rather assumption, as it is rarely explicit) in this process is that each additional year is not fundamentally different from the previous years. In other words, the distribution of possible values for next year’s sales is Gaussian (or “normal”): the probability that sales are the same is very high; the probability of an extreme variation (doubling or dropping to zero) is very low. In fact, the higher the envisaged variation, the lower the probability that such variation will occur. As a result, it is reasonable to discard extreme values in the forecasts: no marketing director is working on an assumption of sales dropping to zero.
Today I was reminded of the perils of forecasting while reviewing a Department of Defense document, the Joint Operating Environment 2010.
“JOE 2010” as it’s called, is designed to provide the various branches of the US Armed Forces a joint perspective on likely global trends, possible shocks and their future operating environment. If you’re interested in geopolitics and strategy, I recommend that you take a look.
Apart from its inherent interest, JOE 2010 opens with a defense planning timeline that business and financial strategy practitioners – and anyone who consumes their work – would do well to bear in mind. I have reproduced it verbatim here:
1900 If you are a strategic analyst for the world’s leading power, you are British, looking warily at Britain’s Age-old enemy, France.
1910 You are now allied with France, and the enemy is now Germany.
Posted in Case study, Theory
Tagged black swan, China, Defense Planning, DOD, forecasting, France, Geopolitics, Germany, grand strategy, Internet, JOE 2010, Korea, NATO, non-predictive strategy, prediction, strategic autism, strategic surprise, strategy, UK, USSR, Vietnam
Near the end of a seminal essay on strategic surprise, Richard Betts writes, “The intelligence officer may perform most usefully by not offering the answers sought by authorities, but by offering questions, acting as a Socratic agnostic, nagging decision makers into awareness of the full range of uncertainty, and making authorities’ calculations harder rather than easier.” I believe that the same should be true for corporate strategy consultants: often their job is to make long-range calculations harder rather than easier.
Why then, is the opposite so often true? In a world in which surprise, disruption and the unanticipated are rife, why do strategists who promise to make calculations easier rather than harder often succeed? I think a phenomenon that I call of “Gresham’s Law of Strategic Advice” is at work.
E pluribus unum
Posted in Theory
Tagged BCG Matrix, Betts, Cicero, complexity, forecasting, Gazit, Gresham, Integrated Strategy, non-predictive strategy, Porter's Five Forces, prediction, strategic surprise, strategy, uncertainty, Value Chain Analysis
Many people are either beginning their holidays or are already in the midst of them. If you’re the type of person who reads a blog like this, you probably already know what you’re hoping to read on your break.
Therefore, I thought I’d try a different approach and offer a summer watching list rather than summer reading list. This list recommends three videos that you might consider for your travels or during your “down time”. All address different aspects forecasting, uncertainty, strategic surprises and decision-making. When you feel like a break from reading, give them a try.
Posted in Methodology & Tools, Theory
Tagged forecasting, foxes and hedgehogs, Gavin, Geopolitics, intelligence, judgement, non-predictive strategy, Saffo, strategic surprise, strategy, Tetlock, Use of history
There is no doubt we are terribly bad at forecasting. Even the smartest among us are. Even the best and the brightest, whom we have tasked to save the world from financial annihilation, are. Take Ben Bernanke, Chairman of the Federal Reserve. In 2004, he declared, in a speech ominously titled “The Great Moderation”: “One of the most striking features of the economic landscape over the past twenty years or so has been a substantial decline in macroeconomic volatility. This […] makes me optimistic for the future.” You might want to read the full transcript of the “Great Moderation” talk here because it is for a fascinating reading on how wrong experts can be at forecasting. And it’s not just Ben. In fact, political, economic and business histories are littered by forecasts and predictions that turned out to be ridiculously wrong. From the commercial potential of the Xerox machine or of Nespresso, from the possibility of heavier than air flight to the market for mobile phones, from prosperity at the corner of the street to Japan as number One. Our hopelessness at forecasting is a confirmed fact.
China has long been touted as the next leading power, and for many it seems that the question is no longer if China will overtake the US but when. Recently, however, a number of dissenting opinions have started to be heard. Economists point to the strong imbalances in China’s economy; political analysts observe that the political and social structure is unstable; human right activists warn of increasing censorship and repression, while historians suggest that, like the USSR in the late 80s, China’s communist regime has run its course and is on an unsustainable path. Indeed, “hard landing” stories about China have started to appear, by Roubini or by Gordon Chang.
Like any such debate, or lack of debate (instead, it is a series of proclamations), positions are often taken being selective about facts, based on false analogies, shallow extrapolations, ideology, or just plain ignorance. This is problematic because regardless of what we think about China, the country does matter to us in many ways. What can we do about this, then?