The podcast is up at the Abenteuer Leben site, playable via the buttons on the right hand side.

Alternatively it can be accessed directly at

http://media1.roadkast.com/abenteuerzukunft/DAZ71_120410_6tt6.mp3

(If you don’t speak German, you need to fast forward through the first 3 minutes.)

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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That is: disaster, mayhem, and death goes to the top of the page and towards the front of the newspaper.**

“If it bleeds, it leads” can be interpreted more or less narrowly. Mostly it means, literally, that accidents, explosions, injuries, and deaths will take page priority in the news over “talking stories” about politics and government and society. Disasters sell more newspapers than policy debates. But more generally it means bad news is more arresting and interesting, and will get more attention (and, again, sell more newspapers or gather more listeners and viewers) than good news, therefore it takes priority.

Now, if you were a ‘forecasting pundit’ or a think tank, or investment institution with an interest in getting media attention for yourself, which route would you choose in garnering media exposure? Good news or bad news?

Bad news. Of course. Russian Professor Igor Panarin gets an insane amount of publicity because his book claims that the United States could collapse soon (in two months time, I believe.) Ditto asset manager, Egon von Greyerz, who bangs on, for example saying: “America is hemorrhaging financially and economically. Other countries now realize they hold ‘worthless’ US dollars” in a piece called: The Dark Years Are Here. And just in case you think these are all gloomy foreigners, consider how Bronx boy, Gerald Celente, has dominated media coverage in the credit-crunch era predicting doom-and-gloom in every way, including riots and revolution on U.S. streeets within in the Obama-presidency term. For example http://www.youtube.com/watch?v=46MEqEgdLTg

These are just three that I single out just to make the point, but they are not different from many hundreds that trawl for media attention by predicting, essentially … “bleeding.” In fact, the real future will have good and bad in balance, just like the past. One of the lessons of Future Savvy is: if a prediction bleeds, it probably shouldn’t lead your thinking.

** In fact, the task of deciding what story to lead page one (or any other page) with, and what other stories to run, in what order, and at what length, is one of the more intellectually demanding tasks around, and one that quality journalist take seriously. So, “if it bleeds, it leads” is, in part, cynical journalist-ese for saying that the popular audience doesn’t have the time, patience, or interest in the deeper issues.

Arsène Wenger

But this was different. Wenger (on the eve of the Arsenal vs Celtic Rangers Champions League match) predicted a “European League” in 10 years featuring the continent’s top clubs – that is, he offered foresight into potential structural, industry-wide change in multi-billion-dollar UK and European soccer industry.

Currently clubs play in their national domestic leagues. And all Europe-wide competitions are cup (pool stage + knockout) competitions.

Although not fleshed out, the form is not hard to see: the top four-or-so clubs from each major country (fewer from smaller countries) in one annual league competition. This means that Manchester United, Liverpool, AC Milan, Porto, Juventus, Real Madrid, Barcelona, Roma and so on would all be playing each other on a weekly basis throughout the year (and, presumably, playing in no other league competitions).

Drivers of Change

The point of Future Savvy is that one can judge the validity of predictions like this before time. In this case, part of the way to assess Mr Wenger’s future view would be to gauge the strength of driving vs blocking forces behind his outcome.

There is evidence of strong drivers in favor of a European Super League. These are:

1. The rise of “super-teams.” In the UK and across Europe the same few teams dominate their domestic league year after year. The reason is a simple reinforcing feedback loop where winning teams get more money (from TV rights, from gates, from merchandising, etc.) which means they can buy better players, which means they win more. Over the last decade the English Football Premier League has become, effectively, a competition between Manchester United, Chelsea, Liverpool, and Arsenal. (In the US the “draft–pick” system mitigates against any franchise getting too strong in this way, but no such system-balancer exists in European football.)

2. The growing ease and ubiquity of continental travel. Whether fans will follow their teams across Europe is a key issue, but indicators from cup competitions is that fans can and will travel.

3. The growing role of, and technological sophistication of television, particularly Sky Sports. Despite the many who travel, most people these days follow games at home or in sports bars. Television’s coverage and choices (the remote control options “red button”) have exploded, and screens themselves have got bigger and better. And genuine personalization of camera feed and other forms of interactively is emerging. In this, football, and professional sports as a whole, is becoming more about the screen as the stadium, accelerating a long-term trend. The reality is it makes little difference to most fans if the game is being played 50 miles away or 500.

4. The move to high-level, star-packed, events. There’s a clear trend across sports in general for events featuring the best players playing each other in all-star environments, not as a special “all-star” game but as an everyday occurrence. In cricket, for example, the Indian IPL has ridden this trend, offering franchised matches of, effectively, one mixed team of global superstars versus another. The fans love it.

There is also the financial do-or-die logic that soccer clubs face. The money feedback loop means they must continually drive up their revenues. It’s not possible to stand still. A European Football Super League would compel participation from the top teams for this reason alone.

vs Blockers

Adequately assessing the likelihood of the Wenger view of the future further requires investigation of blockers – factors which will prevent the outcome. In this case these may be overwhelming logistics of moving teams around to this extent week in and week out; limits on fans’ travel energy and budget; extent of fans’ loyalty to the relatively minor (non-super) domestic teams; and domestic league administrators’ determination and ability to keep domestic leagues from loosing their cash cows and following their own downward spiral into television obscurity.

These blockers on the European football league forecast are real. The question is whether they stop the future or how long they delay it. I’d judge the blockers as considerably weaker than the drivers and so I’d go with Wenger in predicting a European Super League (even richer and more “glamorous” than anything soccer has seen before) in about 10 years from now.

I’m thinking about this as I see the Guardian today featuring a story about how “Poundland” has doubled it’s profits. Poundland is a copy-cat of the venerable US institution, the “dollar store,” where everything cost the same price, in this case £1.

Pic: Andrew Fox, The Guardian, August 4, 2009

The merchandising of these stores is not unsubtle. There are definite too-good-to-be-true loss leaders, but these more than offset by the many items that cost pennies wholesale. Fair enough. And recently reported doubling of profits is because more people are buying at these stores (downshifting) due to recessionarly squeeze and/or because of the current “sense of thrift” in the zeitgeist which makes pennywatching more “the done thing.”

But neither merchandising, nor consumer psychology is our primary concern here. From a foresight point of view, the point is that forecasts of 2010 that were around around a decade or two ago didn’t quite get around to saying anything about Poundstretcher leading a healthy economic life. It’s as unsexy as anything, compared to “peak oil” or advancing “singularity,” or nano-babble, and so on into the glorious future – or its polar alternative: crash & burn, soup kitchens, urban warlords rampaging, and so on.

But here we are coming to the end of the decade and a basic retailing gimmick for the squeezed middle-class consumer is well trafficked and very much part of the future. Yes, it’s success correlates with tougher times, but economic cycles will be with us repeatedly through the rest of the century and beyond.

This doesn’t mean there won’t be breakthroughs in technology or in consumer behavior. In fact, looking at the picture, one surely would not have got a pound for any amount of plain bottled water in a retail environment 20 years ago. Things do change. They just change slowly, or unevenly, against the gritty reality of savvy agregate choices made by a wary (global and growing) middle class.

Samuel, L., Future: A Recent History, University of Texas Press, 2009

I recently received a copy of Future: A Recent History to review. True confession: what hit me first on picking up the book was (a) “wow, the title Future is not already taken!? And (b) what a fabulous job the University of Texas Press has done producing this book. It is beautifully designed, with an understated Art Deco motif, and carefully laid out with enough text on the page, on delightfully solid paper stock.
It may seem odd to go on about text on the page, but it’s much easier to read like an adult, in paragraphs. So many books, particularly business books, these days appear produced at 14-point, double spacing, like pre-school readers. Makes you wonder…

Anyway, author Larry Samuel’s project is to investigate the history of views of the future from 1920 to the present. (The book has an acknowledged US-centric focus, partially defended by the notion that future-mindedness is “a principle strand in America’s DNA.”) He organizes the book chronologically into six periods between then and now, and shows, with interesting examples, how each period had its own views of the future, and how the views shifted from period to period.

In tracing the history of “tommorowism,” in this way, Future is on a similar track to the classic book in this field: I.F. Clarke’s The Pattern of Expectation 1644-2001 (Jonathan Cape, 1979). It ultimately makes similar points, although Samuel’s argument is obviously drawn from more recent examples. As Samuel puts it: “A look back on how people looked forward reveals that while it possesses certain common themes … the future is not a fixed idea but a highly variable on that reflects the values of those who are imagining it.”

Happily I can say this chimes exactly with the argument of Future Savvy, particularly Chapter 4 “Zeitgeist & Perception,” where I argued how heavily the nature of the present and its topical issues frames how the future is seen (what is forecast, what is aspired to or feared, what counts as a valid method for thinking ahead, and so on). Which means the framing conditions of the present  should be carefully analyzed in assessing the validity of any future view.

Historiography

Historiography – investigating the meta-conditions surrounding what is recorded and how it is interpreted by historians – what counts as “history” and for whom –  is a well-understood part of doing good history. Unfortunately, there is no equivalent standard “futuriography” in the foresight field, despite it being absolutely fundamental to understanding the value of our own predictions as, similarly, highly determined by the epistemic configurations of their production. It is here that Samuel very competently fills a much needed gap.

The practical implication of this, which Future does not get into – it’s not that kind of book – is that to make better predictions (or make valid assessments of others’ predictions) we need to ask stiff questions as to how much of what we foresee is determined by the perspectives of today, and expect the answer to be “very much.” Understanding the limitations and biases of our own perspective is the sine-qua-non of a robust view of what tomorrow will actually bring.

]]> http://futuresavvy.net/2009/07/a-look-back-on-how-people-look-forward-and-the-need-for-futuriography/feed/ 0 http://futuresavvy.net/2009/04/swine-flu-and-google-and-why-the-1918-flu-epidemic-wont-happen-this-time/ http://futuresavvy.net/2009/04/swine-flu-and-google-and-why-the-1918-flu-epidemic-wont-happen-this-time/#comments Thu, 30 Apr 2009 15:16:26 +0000 Adam Gordon http://www.futuresavvy.net/2009/04/swine-flu-and-google-and-why-the-1918-flu-epidemic-wont-happen-this-time/ There's an interesting Information Week article Google Tracking System Suggests Swine Flu Is Spreading posted yesterday (April 29) that investigates the possible predictive power of Googling (human search) activity, suggesting increased searching / monitoring of swine flu on Google could be predictive of rising levels of infection. Are we heading for a pandemic of 1918 proportions this time (or next?) Rather the future we most likely face is many-and-regular outbreaks like the swine flu, the avian flu, and so on, which we will move fairly quickly to contain.

There’s an interesting Information Week article Google Tracking System Suggests Swine Flu Is Spreading posted yesterday (April 29) that investigates the possible predictive power of Googling (human search) activity, suggesting increased searching / monitoring of swine flu on Google could be predictive of rising levels of infection. Google says country-specific (Mexico) data for 19-25 April shows a spike in flu searches.

Pic: thisislondon.co.uk

Google introduced “Google Flu Trends” (US) in November as a way to visualize correlation between flu infections and flu-related searches. It maintains search levels provide early warning of flu spread because search data can be gathered and analyzed almost instantly, unlike traditional epidemiological reporting methods. (More on the goal of the project is in a post on swine flu on the official Google blog.)

The predictive power of Google spikes is hardly clear. Yes, a spike could suggest increased levels of infection. But it could be cause by media coverage and rising levels of pandemic concern.

Google predicts “no pandemic”

More broadly, however, the Google search phenomenon, and information saturation that goes with it is, I believe, highly predictive in epidemic situations. It predicts they are very unlikely. Generally, knowledge is power. Specifically deep and easily searchable public knowledge of where the epidemic is, and what to do to avoid it, and avoid spreading it, is a new condition in human history, one which in fact reliably predicts that no pandemic will happen. Yes, strains become more virulent and dangerous and even drug resistant, and yes, airlines transport it around the world in hours. But the power of knowledge in the labs and in the public at large is immense and ubiquitous in a way it never was before.

One of the debates in futures studies is how much and in what way to look at the past as a guide to the future. Paul Saffo says: look back at least as twice as far as you are trying forecast, and I agree with that. In thinking about a major modern global health epidemic our minds are in fact deeply conditioned by a 90-year-old event: the 1918 Influenza Pandemic that killed an estimated 50 million worldwide. In that epidemic there were particular conditions, not least four year of devastating war where more were lost to disease than fighting; associated drain on resistance and infrastructure; and forced mobiization of troops under poor conditions, that greatly facilitated the spread of the disease. Most importantly, ordinary people were operating in a knowledge vaccum that is unimaginable today.

This is not to say that we should not be vigilant and prepared. But the future that we most likely face is many-and-regular outbreaks like the swine flu, the avian flu, and so on, which we will move fairly quickly to contain. The dystopia of world pandemic is appealing to the health crisis community and its service providers, but the future will not be history (1918-1920) repeating itself.

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It was in this spirit that I picked up the UK launch issue (aka May 2009) of Wired. Actually it’s not the first launch. Wired was in the UK ten years ago, but Condé Nast withdrew it in the dot.com crash. In the US at the time, I remember when Wired, the poster child of the Silicon Valley / Nasdaq bonanza, was almost as thick as a phone book each month. But those days were soon over.

Anyway, who could resist an offering that was about to tell me about my “Life in the future. “Fake Meat, Robots and Electro-Sex: the World is About to Change.” On the cover are, I kid you not, flying cars!

Now, I wouldn’t take this stuff seriously for a moment, if everyone else promised not to. But they don’t. So here we go. In the “What’s Next?” cover story 46 experts make 99 predictions about the next 40 years, and none of them will happen, or not in the time frame expressed.

Oh, moon settlement?

I shrink from sharing the list. Meal replacement patches, check. Moon settlement, check. The male pill, check. Every techno-fantasy of the jockish sci-fi world, check. Well, let’s stop on the male pill for a moment. Can we not do it? Sure we can do it – today. What’s stopping it is not technology. It is attitudes (machismo, essentially). So Wired experts are telling us that this will go away in a decade. Puh-leez.

I hardly need mention there’s no method given behind any of these expert forecasts.

Don’t you think Wired should be asking themselves why, in 2009, they are producing 186 pages of dead tree and carting it around the country in carbon-emitting trucks? Technology-vision may lead you to a view of the future. But it’s unreliable. The future is determined by what consumers are ready for. Well, that’s one of the 20-or-so key forecast filtering principles of Future Savvy.

Perhaps we should look at the cover story for what it is really about – which is selling magazines. Because, there’s no doubt that tech is changing, and many new capabilities are coming on stream, and this is very, very fascinating to imagine uses for. And this fascination is what Wired packages and sells. Don’t bet any money on the predictions though, certainly not their timeline.

But sturdy in some areas

Aside from the predicting lark, it’s a good magazine of its kind. The features are well-conceived, well-written, for example, one about how the BBC iPlayer business was built; a feature on sea salvage; a profile of PayPal founder Elon Musk; the David X Li formula and how it mis-calculated risk, and so on. Great stuff. Actually quite a sturdy business-oriented-view of techno-change, if you can get past the boys-with-toys riff of the magazine as a whole.

So, actually, much to like. Just, please, don’t think a lad’s mag is going to tell you anything coherent about the future.

Says Hamel, “The experience of growing up online will profoundly shape the workplace expectations of “Generation F” – the Facebook Generation. At a minimum, they’ll expect the social environment of work to reflect the social context of the Web, rather than as is currently the case, a mid-20th-century Weberian bureaucracy.

“If your company hopes to attract the most creative and energetic members of Gen F, it will need to understand these Internet-derived expectations, and then reinvent its management practices accordingly.”

He cites 12 work-relevant “the post-bureaucratic realities” that tomorrow’s employees will use as yardsticks in determining whether your company is “with it” or “past it.” These are:

1. All ideas compete on an equal footing.
2. Contribution counts for more than credentials.
3. Hierarchies are natural, not prescribed.
4. Leaders serve rather than preside.
5. Tasks are chosen, not assigned.
6. Groups are self-defining and -organizing.
7. Resources get attracted, not allocated.
8. Power comes from sharing information, not hoarding it.
9. Opinions compound and decisions are peer-reviewed.
10. Users can veto most policy decisions.
11. Intrinsic rewards matter most.
12. Hackers are heroes.

One hesitates to question Hamel, whose edifice of work, bookended by Competing for the Future (1994) and The Future of Management (2007) is as eloquent and substantiated a guide for innovation and future-thinking in management as you will find.

But, what is startling, for those of us around long enough to remember the Web-excited 1990s, which includes Hamel of course, is that these 12 principles are really old stuff, the mantras of the Internet 1.0 … the needs of Gen F are apparently not different to the needs of Gen Y.

But, now it’s a dozen years later, and this future is still the future. Hmm.

New management, but not in old bottles

Actually, surely Hamel’s beef is with the Fortune 500 set particularly, because what has happened is that most small and niche companies have already embraced a big chunk of these new-management attributes. It’s specifically the Fortune 500 that lags: but then, running organizations with stakeholders and budgets resembling mid-sized countries seems to fly in the face of Gen F value set.

Looking abroad, it appears that a Chinese factory or an Indian call center are not about to convert to Gen-F values either. Command and control, and uncreative hyper-attention attention to margins — effected by the Weberian bureaucracy — is the route to profit for them. The old paradigm will rule, and rule well.

From the Future Savvy vantage point, the real future will have, broadly speaking, two types of firm, the Weberian and the Gen-F. Firms running 19th century-type businesses will run them in 19C ways. Funky firms exploiting new ideas have already changed management style significantly and will continue to do so.

The mood is justly sombre at the World Economic Forum’s Davos meeting this year, as grim-faced world leaders mull over the dismal state of the global economy and how to fix it. This is in marked contrast to recent years, when the top executives were warmly congratulating themselves on the general state of things.

In one sense this is perfectly understandable. The crisis is upon us and leaders should be directly and practically involved in tackling it. On another level it’s profoundly disturbing, because world leaders and senior managers should be doing more than merely responding to situations. When crises occur, crisis management becomes part of a leader’s job, but their real job is thinking ahead effectively to avoid crises and, on the positive side, develop opportunities.

Put another way: the heads of a companies or countries – Davos-level people – are tasked far beyond effective daily management. They are tasked, fundamentally, with negotiating the VUCA (volatile, uncertain, complex, ambiguous) world on behalf of the rest of us. If not them, then who?

This requires foresight and vision. In this sense, many who are at Davos this week are responsible for the current crisis. They failed to foresee it, in fact they generally endorsed the growth of complex financial instruments, the shadow banking system, and private equity growth –- much of which bypassed SEC or equivalent regulation, and which is now seen to be the root cause of the meltdown.

In fact much of the “new finance” system was thought to spread and therefore actually lower risk. Turns out that was a poor view of the future. In fact the present situation as a whole is the result of key decision-makers operating on a poor view of future. As a group, their mental model was not open to bad outcomes, or even just alternative outcomes to what was commonly expected.

Could we have thunk it?

Their response might be: “nobody can predict the future!” “Easy to say after the event!” This is true. But it’s common knowledge that there were those who foresaw the mess — The Times identified at least 10. As Davos attendees might now be forced to agree, some forecasts are clearly better than others.

This is where executive leaders can learn from the foresight field and particularly the history of failed predictions. Everyone relies on predictions for their guide to the future – nobody can be an expert in every field. And there’s never a shortage of them – they are frequently published in the media, offered by consultancies and think tanks, and are a key part of Davos.

While getting a prediction is easy, the key leadership skill is to be able to tell a good one from a bad one: that’s what turns a forecast into a strategic resource. That is what leads to better decisions, better plans, and better actions.

Can one do that? Can one critically assess a particular or consensus-held view of the future, to identify its strengths and weaknesses? Absolutely yes. Among the tests one can run on a prediction are:

•    assessing motivation – who is speaking and what their agenda might be, particularly if they have an interest in maintaining a current system or shaping the emergence of a new one
•    determining whether the tools used are appropriate to the level and type of uncertainty faced. High-uncertainty situations and long-term views require different approaches to standard modeling
•    questioning consensus mental-models and forcing consideration of alternative outcomes. All foresight is swayed by “zeitgeist” – spirit of the times – and good forecasts swim against this tide.

These are just a few among the many forecast tests one can run, as detailed in Future Savvy.  But even if Davos attendees had been applying just these three in previous years, their foresight would have been greatly improved. It won’t help with this crisis, but it might forestall the next.

* This article, authored by Adam Gordon, was first edited and published by Bnet.co.uk

The forecast is the recently published academic research paper: Chinn & Frankel (2008), “The Euro May Over the Next 15 Years Surpass the Dollar as Leading International Currency,” Faculty Research Working Paper RWP08-016 (Cambridge, MA: Harvard University, John F. Kennedy School of Government) available here. Frankel is a Professor of Economics at the Kennedy School.

The critique, “Forecasting the Euro’s Future,” by Benjamin Cohen, is here

The argument of the Chinn & Frankel paper, which is also summarized here is that the euro may surpass the dollar as the leading international reserve currency as early as 2025. The authors use econometrically-estimated determinants of the shares of major currencies in the reserve holdings of the world’s central banks. Significant factors include: size of the home country, rate of return, and liquidity in the relevant home financial center (as measured by the turnover in its foreign exchange market). The analysis predicts a narrowing in the gap between the dollar and euro over the period 1999-2007, and forecasts this trend to continue.

Cohen has technical issues with the forecasts, saying, “the analysis addresses just one specific function of the two rival monies – their use in central bank reserves – ignoring all the many other roles that international currencies play. But the essence of his critique is deeper. He says, “By concentrating purely on economic factors, (the forecast) ignores the politics involved, which in practice could prove to be far more decisive… key considerations include both the quality of governance in a currency’s home economy and the nature of relationships between countries. Is the issuer of a currency capable of assuring effective political stability at home? Can it project power abroad? Does it enjoy strong inter-governmental ties – perhaps a traditional patron-client linkage or a formal military alliance? Though it is by no means easy to operationalise many of these factors for purposes of empirical analysis, it is hard to deny their importance (for an accurate forecast.)”

Cohen’s agenda is not merely to tackle possible shortcomings of Chinn & Frankel’s study, but to critique economic forecasters far-and-wide that analyze the technical data, while ignoring political (or social) factors that are hugely influential on outcomes, yet harder or impossible to quantify, and which are therefore conveniently ignored.

Coming to grips with politics
Says Cohen: “Chinn and Frankel are not alone in this shortcoming, of course. Many economists, perhaps even most, have a hard time coming to grips with the intricacies of politics, which can seem so messy and indeterminate when compared with the pristine parsimony of formal economics. When it comes to the analysis of public policy, few even bother to try to address political factors systematically.

“The result, though, is sadly predictable. By ignoring the role of politics, economists often get it wrong. How many trade specialists were prepared for the recent breakdown of the Doha trade talks, despite the obvious gains to be had on all sides from a new round of liberalisation? How many can explain the unprecedented accumulation of reserves in China or other East Asian countries, the widespread distrust of multinational corporations or the failure of the international community to do a better job at combating global warming? Politics is clearly critical to all these questions, and more… (Yet) conveniently, Chinn and Frankel set all these considerations aside in order to build a parsimonious model that they can use for forecasting purposes. Only three independent variables are highlighted in their regressions: country size (relative income), foreign-exchange turnover (representing the depth of competing financial markets), and trend exchange-rate changes (representing the rate of return on currency balances).”

Cohen offers potential political and ideological blockers to the particular forecast: “Japan, for instance, has long relied on a formal security umbrella provided by the United States to protect it against external threats; and the same, less formally, is true for Saudi Arabia and other Gulf states as well. Can we really imagine any of these nations, all very large dollar holders, casually jeopardising their ties to Washington for the sake of a few basis points of return on their reserves?”

To be fair to Frankel, the nature of his analysis is consistently political – see his blog at http://content.ksg.harvard.edu/blog/jeff_frankels_weblog/
One can’t imagine that Frankel or Chinn would dispute that politics will strongly influence the accuracy of their forecast. (What they clearly imply in their data-centered model is that the economic data is backed up by political shifts towards Europe, or at least there is nothing in the political realm that would counter their technical analysis.)

Yet the problem remains that these contextual factors are not built into the model. The technical stuff is quantifiable and gets forecasted quantitatively. The rest is a kind of political/social/ideology soup that we flounder in, and the best we can apparently say is “it’s going in the same direction” or “ceteris paribus”.

International Political Economy
Going with Cohen, one may well ask: what is the value of the forecast that ignores the context, or separates it in this way? Surely very little. As impressive as the economics or the modeling is, the results are are circumscribed by the larger questions that are not in the model, and that affect everything.

As an alternative, Cohen offers International Political Economy (IPE), which explicitly combines political analysis with economic theory, saying, “part of what IPE offers is a critique policy choices as ‘rational calculus by unitary actors responding to well-defined structural constraints and incentives – in effect, an approach akin to the analysis of atomistic firms in a setting of perfect competition.’” IPE suggests three levels of political analysis: the systemic level (macro-international politics); the domestic level, revealing competition of domestic interest groups and institutions; and the cognitive level, ideas that legitimate governmental policy making. If one is not thinking at all three levels of politics, any prediction will surely fail.

Whether IPE succeeds in mitigating the shortcomings of technical analysis or not, one can only say amen to the principle – and that, additionally, there’s surely even more to factor in. Beyond politics, there are issues of technology change, changes in culture, values, ideologies and perceptions that shape the future. Truth is, we don’t know how to quantify all this – and it’s certainly not tractable to quantitative measures for anything but the short term. Using the technical analysis to predict the euro’s status vs. the dollar in 2025 must return a result which (while even possibly correct) is one we cannot rely on.

Early in the day, as a warmup I think (but for me this was the juice) there was a “Research in the Real World” section. It started with a presentation by Alex McKie reporting on a tour she made across the UK, where she interviewed people asking them what their “three wishes for the future” were. This was followed by Gill Wildman and Nick Durrant of Plot, who presented interviews where consumers were asked where and how they used media, and what they wanted from it.

The research is anthropological, no more or less than a customized field trip: going out, seeing what people do, and how they live, and what’s important and meaningful to them – and then thinking how one’s own area of interest (e.g. product) fits into this, or could fit into it in the future. That gives some clues as to what people will adopt and/or buy – what the market will “pull”.

The futures field lingo for this type of work is “a learning journey,” a process usually omitted in the helter-skelter of tracking new technology capabilities and other apparently more profitable lines of research. There are some good writeups of future learning journeys: one that comes to mind is “The Moen Story” Johnston, R. & Douglas Bate, J., The Power of Strategy Innovation, Amacom Press, 2003, Chapter 5. Another is “Conduct Reconnaissance into the Future,” Sull, D & Wang Y, Made in China, Chapter 3, HBS Press, 2005. I recently saw that Christus CEO Tom Royer said his medical institution had conducted learning journeys (to Canada and India) as part of its Futures Task Force II scenario building process.

Tuning in
No question this type of research is often tedious. You have everyday people umming and aahing inarticulately and often unimaginatively about their preferences and problems, and hopes for the future. In fact the conference audience were impatient about having been presented with the interviews in raw form. But it is precisely in the careful listening that much about the real future is revealed. It is a vital ingredient in thinking about the future, and reigning in poor forecasts.

In the event, the consumers (in Plot’s terms “the people formerly known as … users”) were revealed as media wise, but often their savvy to screen out the information firehose. Although media types were thinking about the cutting edge, real people were articulating the need to be informed in a way they could manage – not too much or too little – and to be able to trust the news source, and be exposed to stories that move or inspire them.

Learning journeys are a very dependable way to think about the future by checking our industry insider preferences against the preferences of real people out there. Any prediction that makes assumptions about the market without this perspective is heading for failure. But there is a wrinkle, and it is this: market research – even this deep market field trip research which is much better than focus groups – is seldom enough to adequately anticipate the next new thing. It tells us what lab fantasies or executive business model fantasies will not fly. But it doesn’t help us make the jump either. Experience is that consumers want what they already have, maybe a bit better, maybe a bit cheaper. Market research did not see the Walkman. And as as Hal Sperling of Chrysler said: “In all the time we spent developing the Minivan, not once did we have a soccer mom come and ask us for one.”

I don’t think so. There are many new communication modes to explore as established media outlets get to grips with the micro-publishing and social networking technological possibilities and consumer preferences, but the fear that traditional journalism or traditional media is “under threat” is, to me, overblown. Yes, anyone can publish news and views anytime, but most strive to put their 2c worth on the media sites associated with the major newspaper and electronic media brands. Why? To benefit from (a) the visibility, that is, presence of many readers, and (b) the editorial quality – the brand promise – of the established media outlet. A submitted picture that is seen, for example, on The Guardian site, is worth a thousand pictures on mynonameblog.com. This is all-the-more true if the publication editors flag readers attention to the citizen journo contribution: giving it an editorial stamp of approval.

The power of hubbing has been talked about a lot, not least by management guru Michael Porter, and there can be no doubting the reinforcing feedback loop at work in hubs. In this case, where more readers are that’s where more writer-contributors want to be, which makes the hub more valuable to readers, etc. What’s most valuable to readers in a world of a billion potential journalists? Little doubt it is what has always been valuable to readers, that is, the activities of editors providing oversight and quality control: filtering, choosing, framing and balancing information and viewpoints. Any content that is not subject to oversight is, well, just someone yapping.

From origination to “hubbing”
What will surely happen to the main media outlets is that the percentage of own-originated content will go down as the percentage of publicly contributed content goes up. They will have to adjust their game to include wider information quality management. In addition to providing what they always have (quality and timely and relevant content) they will need to be able to function less as own-content originators and more as hubs – providing editorial-quality oversight and therefore attracting many readers in the virtuous-cycle spoken of above. But they will still be in business, and still in essentially the same business of information collection, editorial processing and oversight.

The citizen journalist may effect what the media outlets says and does – for example by providing evidence that must be included in a story – but this does not change the balance of power. The value of the editorial oversight and synthesis is higher than ever. This is what branded media providers offer and the citizen journalist cannot. The principle of anticipating the future here is this: where a service provides a value, the service-provider will continue to exist into the future. Nothing has changed in the value of editorial oversight, in fact, it is more valuable than ever. That’s why major media outlets will be part of the future.

This is not to say the current major media brands will survive – they may well miss or mismanage the transition to information quality hub function – and fold, as brands or as companies, as new ones emerge. The general news brands may also, over time give way to narrower topic niche brands. But the concept of a centralized quality-enforcing media hub is not dissolving into citizen yapping any time soon.

So far so good. Tracking technology change is an important stage in scanning the external environment and anticipating sources or change and/or disruption. But no technology ever changed itself. History is littered with fabulous mind-bending, world-changing technologies that didn’t make it out of the lab. In fact, technologies only change because humans or human institutions want them to change AND (two separate hurdles here) they allow them to change.

Most people, most of the time, want technologies to change because they change for the better, improving products and services and/or making them cheaper. Companies want new technologies because improvements offer new sales options and (sometimes) industry competitive advantage, among other things. Societies express the desire for technology to go forward by stimulating and facilitating change in many ways (for example through government or industry funding of R&D or protecting intellectual property or making capital markets more transparent.)

Technology filtered by human choice
Once a technology breakthrough emerges, that’s hardly the end of the story. In fact it is still very much the beginning. New technologies of any importance are subject to public scrutiny and choices. Individually, or as a society, we ask ourselves, is this technology good for us? Debates happen, and power and politics and regulation takes its course, but one way or another technologies that most people like – mobile phone’s for example – will go forward while technologies such as GMOs will stall. Also, in a market economy, technologies are inescapably subject to consumer economics: those that raise user benefit (pass a buyer;s cost-benefit analysis) will be adopted. Those that don’t sit in the lab.

In other words, technology possibility is a matter of science and engineering, and the possibility frontier is expanding all the time, but the road from possibility to actuality is the rocky road of human ideas, preferences, and choices. Technology change means technology adoption, that is, it is a form of social change.

Why is this distinction important? Because one of the main reasons forecast fail is they see the technology possibility frontier as the future, underestimating the forces of social triage. There are two sites that I love that illustrate this wonderfully. Check out Paleo-Future (A Look into the Future that Never Was) and Modern Mechanics (Yesterday’s Tomorrow Today). Both are crammed with failed forecasts of this type. This is not to say that we cannot forecast usefully – much more to come on this in this journal – but it does give us pause in viewing many of today’s techno-inspired forecasts which make the same type of error. (Pics credit to the sites mentioned.)

Decision success always implies congruence between decisions and the world in which those decisions play out. If we decide today to launch a product, buy a house, study for a degree, build a new light rail system, or take any similar decision of significance, the environment of tomorrow will be a key factor in the success or failure of that decision. What we do will be tested by the future conditions that emerge. Where there is a good “fit” between the initiative and the environment it plays out in — “the right product at the right time” — we can expect success. If not, we should expect to fail. Our decisions are only as good as the view of the future they rest on. All opportunities and successes and profits are realized in the future. All threats, failures, and losses are in the future.

In a fast-moving world, we know that the future environment will be different to that of today in big or small ways. New technologies, market shifts, changes in legislation, or evolving social values damage or destroy the traditional good fit we have between ourselves and the world. To achieve “future fit” we therefore use forecasts to position ourselves and our organizations, creating (or renewing) the fit between our initiatives and environment. In some cases we may be strong enough also to influence future events and outcomes for our own future benefit, and forecasts help us do this too.

All enterprises benefit from narrowing down what they must adapt to and plan for – all effort spent preparing for a future that will not emerge is a waste of personal or organizational resources. Good forecasts are a key ingredient in limiting the vagaries of uncertainty, and therein working smarter not harder, avoiding surprises, exploiting new opportunities and plugging weaknesses in fitting in with the future, and where possible influencing the future to suit the organization. This is true not only of business. People and institutions of all types position themselves for success by anticipating and adapting to events, or shaping them. Whether it is an NGO raising money for developing-world children, an urban planner advocating a light rail system, a homeowner deciding to sell a house, or a student making a career choice, identical principles apply — a higher-quality reading of the future operating environment in which these decisions will play out is what separates winners from losers. We should all be vitally concerned with forecasts as we are all effectively betting significant resources on their validity.

Chapter 1: Recognizing Forecast Intentions, deals with considerations of how forecasts come about, who makes them, and with what intention. Those who research and produce forecasts, those who invest in understanding trends and drivers of change, and those (including the media) who bring the forecasts and their implications to our attention, inevitably have reasons for doing so – to benefit from the knowledge by seizing opportunities or avoiding threats or by affecting outcomes in the world. Understanding a forecast’s “return on investment” gives us an important vantage point in assessing the merits of a forecast.

Chapter 2: The Quality of Information, shows how a forecast communicates information between forecaster and reader subject to the same standards of accuracy, truth-telling, and bias-control by which one would judge any communication. Forecasts can be very different in methods and goals, but all forecasts lay claim to factual truth, particularly truth in the data, and the argument deals with the various ways in which data can be less solid than it looks, even with the best intentions.

Chapter 3: Interpretation and Bias, considers how data – whether good or bad in itself – can be interpreted or misinterpreted in forecasting, that is, the “political” aspects of forecasting. Just as there is no value-free look at history, so too there is no value-free look to the future and asking the right questions allows us be ready to mentally rebalance forecasts that are presented.

Chapter 4: Paradigms and Perception, investigates how predictive statements are exposed to a broader form of interpretive bias that has to do with the forecaster’s mental model or “paradigm,” and the “zeitgeist” (spirit of the times) when the forecast is made. This chapter investigates situations where forecast failure is caused by failure to escape society’s current mental models – which often do not hold through the forecast period.

Chapter 5: The Utility Principle, considers economic and market forces, and the role of consumers, in promoting or resisting the future. Without reigning in creative thinking, some simple economic filters inevitably apply direction or timing realism to futurist flights of fancy.

Chapter 6: Drivers, Blockers, and Trends, consider drivers and blockers of change, and how viewing these dynamics improves forecast assessment. It identifies the roles of Drivers, Enablers, Friction, and Blockers acting on events to cause change or resist it, and problems in dumbly projecting current trends.

Chapter 7: The Limits of Quantitative Analysis, discusses the role of statistical analysis and quantitative modeling in predicting the future – where this is possible and useful and where it is not, and why not.

Chapter 8: The Systems Perspective, investigates “system effects,” which occur whenever different elements or variables that may appear isolated are in fact linked together, such that changes in one element cause changes in others. Anticipating future behavior of any variable hinges on identifying the broader systemic elements influencing it and failing to do this is a big part of what causes forecasts to fail.

Chapter 9: Living with Alternative Futures, investigates non-predictive ways of approaching change – where the tone is more about managing uncertainty than predicting the future. It acknowledges unfathomable complexity of most future questions and provides perspectives that raise chances of success in an inherently unpredictable future.

Chapter 10: Forecast Filtering in Action, illustrates the processes of the book by applying them in case studies to real-world sample forecasts that decision makers in business and policy areas might find themselves interacting with. This demonstrates how real everyday predictive material may be probed and critically evaluated, following the principles developed in previous chapters.

Chapter 11: A Forecast Filtering Checklist, is a cross-cutting checklist which summarizes the principles of the book in one convenient, thematic list.

Obvious background to all this is that rapid change is a constant, ubiquitous feature of our lives. Important changes across society, technology, institutions, and products and services are constantly occurring. But the future is not merely interesting, it is competitive: the earlier and clearer we see future circumstances, the better we will be able to benefit by changing our current recipes for success – to keep up with the changes in the world. The better managers’ view of the future, the better their decisions will turn out to be. So, change matters, and managers in business or policy realms have to correctly anticipate change. And therefore they turn to and depend on predictions of others. One might say that forecasts are a crucial decision-success resource. But these forecasts are often badly done or done with a purpose to influence the future (that is, not just to predict it). Therefore decision-makers need to be able to judge how good a forecast is – so as to know how to or whether to factor it into their world view. Managers need to be able to critically judge predictive statements to be able determine which ideas are worth taking seriously – worth planning for and investing in.

The book sets out to communicate tools and approaches that the forecast consumer can use to filter and evaluate statements about the future, and thus judge what the real threats and opportunities are. It summarizes and orders the problems common in forecasting, as well as best practices, so that managers and decision makers of all types may be better able to critically interact with the barrage of forecasts that compete for their attention and resources and discriminate between worthy and unworthy ones.