Posted by Adam Gordon on Feb 12, 2010 in all, economy & finance, failed predictions, management, strategic foresight
Two running business stories with foresight importance this week, both I realize brought to me by smartbrief.com (Smartbrief on Leadership) which I find a very credible news aggregation service. The first is a WSJ piece ‘How Lean Manufacturing Can Backfire.’
Toyota President Akio Toyoda, Feb 11, 2010. Pic: AP
Lean manufacturing creates efficiencies and shaves production costs by creating just-in-time — no inventory — systems, using common parts and designs across product lines, and generally squeezing materials, processes, and (inevitably) quality controls. This may or may not include pressing suppliers to lower prices, and therefore squeeze their own materials, processes, and quality controls. ‘Lean’ has been very much a core process and operations mantra for about two decades. To misquote a favorite saying, manufacturing companies have been adamant: ‘one can never be too rich or too lean.’
But now Toyota has had a slew of embarrassing recalls — the 2010 Highlander; 2008 – 2010 Sequoia SUVs; and 2009 – 2010 RAV4′s due to gas pedal problems. It has just recalled 437,000 Prius and other hybrid vehicles worldwide to fix brake problems. In 2009 it recalled Corolla, Camry, Vios and Yaris sedans due to faulty electric window-control systems.
The point of the WSJ piece is to implicate lean manufacturing in this. (It’s unclear whether it’s too much lean or too little quality control, but they are clearly connected.) Now, lean as an idea is not going to go away. Nobody is suddenly going to advocate ‘bloat manufacturing,’ but looking at the damage in reputation and bottom line that Toyota has soaked up, the company and others like it will obviously looking across their lines and saying to themselves ‘a bit of redundancy (fat, if you like) in the system will be cheaper than this.’ Thus the pendulum swings back from lean extreme to somewhere a bit more durable. A happy medium.
Maharaj Mac
In the other story, the Times reports how McDonalds is seeing benefits from localization of it’s menu, for example, offering the McItaly in Italy, the (non-beef) Maharaja Mac in India, the McLobster in Canada and the Ebi Filit-O (shrimp burger) in Japan. The pendulum effect here is that McDo became the mega-corporation it is based on global standardization and a ‘one-menu’ mantra from Cleveland to Taipei. It wasn’t just one menu, but each item had to be produced from the same stock, and in the same way. McDo fries were identical everywhere, that was the guarantee (and they were always called ‘fries’ no matter what locals called them.)
It is now become common cause among the global food companies (notably Starbucks and KFC) to work local options into their offering. One may think this is merely ‘think global, act local.’ The point is, it is an about-turn indeed from the ‘think American, act global’ that went before. What works best is in fact a happy medium.
What does this have to do with better future-thinking? Expect a recall sooner or later on forecasts that don’t see change resolving itself around a happy medium.
read morePosted by Adam Gordon on Dec 4, 2009 in all, decision-making, economy & finance, failed predictions, Future Savvy, strategic foresight
Economists make a handy, if mildly irreverent, distinction between “freshwater” and “saltwater” economics. Freshwater refers to economic theory that rests on the efficient markets hypothesis — a belief in the efficiency and rationality of free markets. It is associated with Milton Friedman and the University of Chicago school. It was the thinking behind Thatcher and Reaganomics and still more-or-less holds sway today, or it did up until the credit crunch.
Keynesian or saltwater economics by contrast holds that free markets often behave irrationally and inefficiently, and therefore need corrective policy from government. Saltwater economists say people and institutions often behave in ways contrary to the general good, or in ways that can bring markets (on which they depend) to their knees. Sound familiar?
Anyway, a recent Knowledge@Wharton article comments: “Like a natural science, freshwater economics lends itself to complex, often elegant mathematical modeling. The freshwater view is that consumers, offered an array of choices, will select the one that is best for them — a straightforward assertion that can be neatly expressed in mathematical formulae.
“In contrast, many assertions made in behavioral economics are more challenging to express mathematically. ‘Behavioralists’ argue that consumers don’t always act in their own interests, especially when they fail to understand the choices on offer or succumb to irrational impulses involving those choices… but such impulses are inherently vague and difficult to define.”
Cognitive bias
In other words mathematically modeling the economic future is possible if humans and the markets they create are rational, but far less possible if we act irrationally.
Now, as elaborated in Future Savvy, the fact that humans make irrational choices due to many cognitive biases and heuristics is indisputable, not least since the work of Tversky and Kahneman. Biases and heuristics such as “anchoring,” “recency effect,” “personal validation fallacy,” “herd mentality,” and so on, in which people make irrational choices, are well documented.
That’s why mathematical projections of economic behavior are unreliable. The economy may be counted in numbers, but it is still a human system, with associated inefficiency and irrationality. Blow this little debate in economic forecasting up large, and you have the essential problem with quantitative forecasting of any type. It assumes, erroneously, a freshwater view of humanity.
Posted by Adam Gordon on Nov 24, 2009 in all, failed predictions, managing uncertainty, Perils of Prediction, risk management, scenario planning, strategic foresight, trend tracking, wildcards & black swans
We owe a debt to Nassim Taleb for memorably encapsulating the demerits of predicting by extrapolating trends as “The Turkey Problem,” and now seems the moment to reiterate it:
Imagine you are a turkey. Every day someone comes to feed you. Every day you get bigger. Your portion sizes get bigger too, brought by a nice man at regular intervals. You extrapolate the trend and you confidently predict a bigger you, with more to eat. Regularly too.
But what happens is … Thanksgiving. Or Christmas
Taleb, N., The Fourth Quadrant: a Map of the Limits of Statistics, Edge Foundation, September 2008
The hard reality for those who predict the future by extrapolating trends (and those gullible enough to believe them) is that even if our turkey had excellent data points (carefully observed and accurately recorded in, for example, a time series analysis) and, moreover, even if our turkey was a mathematically sophisticated — not merely simply projecting trends, but applying all the latest modeling techniques, from moving averages to compound regression — he is still going to be wrong about the future. Dead wrong.
All the data analysis in the world, all the fancy computer software, all the consulting time paid for, and he is still a dead duck.
Ouch. The lesson: there may be (or, vexingly, may not be) something outside the trend, a framing condition, which where it does exist is invisible within the trend projector’s mental model. The only way to get a view of the future that is “robust to Thanksgiving” is (a) to question assumed framing conditions, for example through properly done scenarios, and (b) to hold a view of the future which assumes fundamental ‘game-changing’ surprises can and will occur.
If, as they say, “the trend is your friend” it is assuredly only your fair-weather friend.
read morePosted by Adam Gordon on Nov 19, 2009 in all, decision-making, emerging technologies, failed predictions, foresight tools & methods, Future Savvy, Perils of Prediction, scenario planning, strategic foresight, technology change
In a recent Times article ‘The future was never going to be the C5‘ actor-comedian Ben Millar offers a familiar criticism of foresight work. Inter alia he says: “For all our achievements in art, science, and technology, the human race has always been spectacularly bad at predicting the future. Literature is littered with shockingly wide-of-the-mark utopias, dystopias, shiny suits, flying saucers and whole meals contained in a single pill. As a child of the Seventies, I was taught that as an adult in a world run by machines my main challenge would be how to spend my endless hours of leisure time…”
Yes, Ben. I’m sure you know this has all been said before ad nauseam. But more importantly, 40 years on many lessons have been learned, and it wouldn’t run foul of quality journalism standards to reflect this.
First, let’s be clear: nobody can predict the future. Anyone who says they can is a charlatan. Also, yes, unconscionably dreadful and irresponsible predictions have been made and are continually being made. But there are three problems with the ‘no-flying-car-so-there-we-can’t-predict-the-future’ argument:
(1) The kinds of predictions Millar cites are a product of a particular moment in Western thought and therefore foresight. The 1960s and early 70s were a time of Post-War American emergence, unleashing for a while a techno-futurist predictive rapture, most of which has indeed proved to be rubbish. There are still people, very famous talking-head futurists, promoting techno-rapture for the 21st century (caveat emptor) but as a whole the foresight field has moved on to become much more circumspect about what can be predicted.
Balancing techno-fantasy
Foresight practitioners are these days more likely to balance technology wowee with economic, social, and environmental friction; see systemic (often indirect or counter-intuitive) effects where once only simple cause-and-effect was seen; and create scenarios of key alternative outcomes rather than predict one.
(2) The second thing that is missed in gleefully deriding foresight work, is how many people and institutions get it right, or right enough. It’s axiomatic that in order to be successful a person or organization must have correctly assessed both key changes and rate of change in their operating environment. To take a famous case, as quoted in Future Savvy, while Nixon’s Vice President Spiro Agnew in 1972 erroneously forecast super-sonic passenger air travel, Herb Kelleher, founder of SouthWest Airlines, foresaw the low-cost air travel industry. Bingo. Billionaire. Similarly, behind every success one can find future thinking that, while sometimes latent, was present and correct.
(3) The purpose of foresight work is misunderstood. We cannot predict the future and it’s pointless to try. We can only assess signals of change, trends, and potential for surprises and reversals, including challenging our all-too-easily calcified mental models, and take this into a process of understanding alternative outcomes and pre-considering best strategic actions. In other words, actively stimulating the investigation and analysis of future conditions in order to create the basis of better decision-making today.
In fact sometimes the ‘strategic conversation’ that results from poor predictions is instructive to managers. As I say to clients: the goal of foresight work is better decisions not better predictions.
Back-street abortionists
The reality is that there is good and bad foresight work. Yes, some futurists are the technical and moral equivalent of back street abortionists. But the good work remains, and quality foresight is a critical advantage to decision-makers. The key thing is to be able to tell good foresight work from bad.
Simplistic trashing of foresight work en bloc ignores the weight of case evidence that people and organizations can improve their management of future uncertainty and/or create a situation where they manage the future better than competitors. Further, it encourages managers to fly blind into changing environments, often resulting in spectacularly poor decisions that deeply and widely punish their dependent stakeholders.
read morePosted by Adam Gordon on Oct 29, 2009 in all, economy & finance, failed predictions, forecast filtering, foresight tools & methods, managing uncertainty, Perils of Prediction, risk management, strategic foresight
Continuing the theme of financial types talking to each other about predictions and predictability, this ‘Tea with the Economist’ interview of Stephen Roach, Chairman, Morgan Stanley Asia by Economist New York Bureau Chief Mathew Birk, carries interesting lessons about the limits of prediction.
Birk commends Roach for being one of the few to have predicted the Credit Crunch problems, to which Roach demurs in saying he was “too early”. He then furthers his modesty in saying that the “breakage” in the financial system was “in excess of anything I envisioned.”
Self-deprecation in assessing one’s predictive abilities will endear anyone to me. Even Roach, who later in the interview burns this hard-won credibility by laying the blame for the credit crunch at the door of regulators, forgetting how hard financial institutions lobbied regulators for greater freedoms in the 1990s.
But I digress. The predictive issues the interview raises are as follows. Issue one: it’s not enough (as any stock short-seller will confirm) to get the direction of a future change right. One must get the timing right too. Issue two: it’s not enough to anticipate a change. One must be able to judge it’s impact. Getting either timing or impact wrong is effectively to have missed the future.
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Probability
On the latter topic — the problem of impact — Nassim Taleb is unrelenting, and he is right. Analysts routinely mix up probability and impact. They think that because an event has a low probability (‘it would be a 10-sigma event!’) it can be marginalized in the predictive number crunching. Of course, it can’t. The low-probability of a wildcard or black swan event is irrelevant because when it happens it will change the game, and that’s why, in every predictive situation of reasonable complexity and uncertainty, using statistical extrapolations (regressions and so on) to predict, is to dangerously paper over the cracks. It is precisely the cracks that businesses and policy makers need to worry about.
Determining the direction of change is hard enough. Assessing timing or extent of impact — a ‘total future impact index’ — is wickedly difficult. It’s a task not to be underestimated, and to simply extrapolate current trends (= assuming the trend’s timeline and impact stay the same as in the past) is the royal road to underestimating it.
This is the reason foresight for complex, uncertain, changing situations can only be grasped by NOT predicting (quantitatively or otherwise) but by exploring the limit-conditions of the plausible (What would happen if the timing of the change accelerated, or was significantly delayed? What if the impact was 10x or one tenth of what we expect? And so on.)
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read morePosted by Adam Gordon on Oct 19, 2009 in 2015, all, economy & finance, failed predictions, foresight tools & methods, managing uncertainty, scenario planning, strategic foresight
One of the benefits of scenario-based future thinking is the ‘permission’ to think through alternative future outcomes without necessarily predicting them. ‘Predictors’ focus, by contrast, on isolating the highest probability future in order not to have to think through or plan for less likely outcomes.
Predictions of the dollar’s demise are as old as the greenback itself of course, but over recent weeks the specter of the dollar heading way way below its trading range — a dollar crunch — has entered the zone of the credible, or, in scenario terms, the ‘cone of plausible uncertainty.’ That means decision-makers with lots at stake are taking it seriously.
Like the British pound, the dollar has been under a cloud due to perceptions of economic fallout from the credit crunch and global recession, but particular questions about the US currency have recently surfaced, driven by reports [Robert Fisk's 'The Demise of the Dollar' story in The Independent (Oct 6)] that “Gulf Arabs are planning – along with China, Russia, Japan and France – to end dollar dealings for oil, moving instead to a basket of currencies including the Japanese yen and Chinese yuan, the euro, gold and a new, unified currency planned for nations in the Gulf Co-operation Council” (Saudi Arabia, Abu Dhabi, Kuwait and Qatar).
The subtext is far from merely financial. Practically, it would mean that on any day, the real cost of oil to US consumers and businesses would go up or down depending on the strength of the currency. This is something America is not used to. But, more deeeply, dropping dollar-denomination of oil is a direct shot across the bows of Washington’s say over oil affairs, and the hegemony of the dollar as the dominant global reserve currency.
De-dollarizing oil would not in itself push the US currency below its 25-year range. But it is portentous of the clear trend to a genuinely multi-power world, for better or worse, in which the dollar will get no favors. That will push the dollar down, at least while the news and fallout make their way through the financial and real economic systems.
Rumors of de-dollarization have been hotly denied, as further reported here, but as the Independent points out, denials are to be expected, and are always issued in these situations. They mean nothing. Even cub reporters know that.
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Scenario thinking
What’s particularly interesting to me is that a ‘scenario’ of dollar demise has become not only plausible in the mainstream view of the future, but scenario thinking is being used as a way to consider the nature of this outcome, and how best to respond without predicting the outcome either way. As recently as directly pre-credit crunch, the media question would have been: ‘what is the best prediction for the dollar (or the housing market, or credit default swaps?) and that, rather then scoping out the implications of the lesser-likelihood, would have dominated the discussion.
So, what struck me forcefully in the Business Week video interview above, where BW Chief Economist Mike Mandel interviews the news magazine’s Economics Editor Peter Coy (see Coy’s underlying story here), is how the less-likely, non-predicted, but very significant outcome is actively addressed:
Says Coy: “It’s so hard to know what the dollar is going to do. We don’t argue that we know… what we do is we say, ‘it could happen’ and let’s take that possibility seriously, in the same way we should have taken the possibility of falling housing prices seriously…”
This is not formal scenario-building of course. But it is, fundamentally an adoption of the framework, saying in the classic ‘scenarios’ way: “we can’t predict if it will happen or it won’t, but if it does it will have significant impact. So let’s just ask: ‘what if ‘ it does and explore the outcomes and our responses. What will the word look like? What would be the implications, the knock-ons and spinoffs? If it comes to pass, what would be wish we had done today?”
Perhaps failing to predict the credit crunch has dented predictors’ halos enough to cause a mini-zeitgeist-shift towards the only real way to cope with important uncertainty: exploring all outcomes that pass the plausibility and significance test, whether or not we actually believe they will happen.
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