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Lessons From Kodak’s S-Curve Problems

With Kodak in big trouble this week, a lot of people have been reflecting on what went wrong. While many are using this an opportunity to talk about bad management, or missing the digital photography trend, I think there’s more to the Kodak story than this. Kodak’s problems illustrate two very important innovation problems.

The first is that new innovative new ideas diffuse much more slowly than we expect them too. This causes problems when you have to respond to a new competitive innovation.

Larry Keeley has written an excellent post about Kodak, and he says:

The demise of Kodak isn’t merely the classic disruption story that everyone loves to tut tut over. Nor is the company’s downfall merely a result of recent bad decisions or the mismanagement of senior executives. It is the more nuanced story of how easy it can be to get things wrong, even when trying with the best of intentions to do everything right. It’s a cautionary tale of the need for deeper understanding of what innovation really means, and how it is infinitely more vital than most people think it is, even as it isn’t about any single product or widget or technology.

Kodak knew all about the impending disruption of digital technology. As many have noted, they own the primary patents on digital photography and built one of the world’s first digital cameras in 1975. As The Economist reported recently, a report circulated among senior executives in 1979 detailed how the market would shift permanently from film to digital by 2010. This disruption was no surprise.

Here is an illustration of the problem:

Innovations diffuse following an S-Curve, and this causes problems. When a new innovation is really hyped, people expect it to follow diffusion Curve A – where at the end of time X it has taken over the market. The problem here is that the value for X is usually much higher than we expect, but more importantly, once you get through that time, you have only gotten to the point where the innovation is starting to take off.

If the expectation is that the innovation should have taken over the world at after time X, but it has actually grown slowly, then there are three possible future paths. The innovation could die, and people often assume that this it what will happen if it hasn’t taken over the world yet – that is Curve B. Many people are talking as though this is the mistake that Kodak made – that they discounted the potential of digital.

However, the real problem is trickier. As Keeley points out, they were fully aware of the potential of digital photography. It wasn’t that they ignored it. The problem was that they thought it would grow in a slow, straight line, like Curve C. This mistake is incredibly common.

The first lessons from Kodak’s demise are:

  1. New innovations take longer than we expect to become dominant, but when they finally take off, they move fast. Never assume that an idea will diffuse along Curves A or C – that never happens. Curve B is possible, and so is the S-Curve. Figuring out which is most likely is hard, but that’s what you need to focus on.
  2. There are no straight lines in business. If you ever find yourself making a projection like Curve C, you are almost certainly wrong. Be cautious of this, especially if this projection suggests that you have a long time to respond to changes.

Heres the second issue: performance also improves following an S-Curve. Disruptive products (P2) replace existing ones (p1) in a pattern like this:

This is the Innovator’s Dilemma. New innovations start out with lousy performance. They are crappy. If you’re a dominant firm on the P1 Curve, and you correctly predict the shape of the new curve, the question then is: when do you jump to P2?

Consider this from Adrian Wooldridge in The Economist:

Like Kodak, Fujifilm realised in the 1980s that photography would be going digital. Like Kodak, it continued to milk profits from film sales, invested in digital technologies, and tried to diversify into new areas. Like Kodak, the folks in the wildly profitable film division were in control and late to admit that the film business was a lost cause. As late as 2000 Fujifilm counted on a gentle 15 or 20-year decline of film—not the sudden free-fall that took place. Within a decade, film went from 60% of Fujifilm’s profits to basically nothing.

If the market forecast, strategy and internal politics were the same, why the divergent outcomes? The big difference was execution.

Fujifilm realised it needed to develop in-house expertise in the new businesses. In contrast, Kodak seemed to believe that its core strength lay in brand and marketing, and that it could simply partner or buy its way into new industries, such as drugs or chemicals.

In other words, Fuji jumped onto the P2 curve early, while Kodak figured that its core competencies would allow it to jump to the P2 curve right around time TC – right when digital started to outperform film. Mike Ryall taught a lot of Kodak execs in his MBA classes, and this is how he describes their thinking:

Why were they so optimistic? When challenged to discuss it in class, they proudly explained that Kodak’s “core competency” was “color”. The reasoning went something like, “We understand color and its application to photography better than any other firm. This knowledge will be as important for success in digital applications as it was in analog film. Therefore, we are wonderfully positioned for whatever challenges the market presents.”

Simon Waldman’s book Creative Disruption: What you need to do to shake up your business in a digital worldis one my favourites on the topic of Kodak. In a recent blog post, he says:

Newspapers, music retailers, book publishers etc are all used to operating in a market with a lot of businesses that are essentially clones of each other [in terms of overall cost and revenue structure]. This is what ‘competition’ means to them. It is a world away from the sort of asymmetric warfare involved in dealing with a new, disruptive force – which will initially seem too small to even bother with compared to your traditional rivals. [eg: Craigslist vs Big Newspaper Co/ Play.com vs HMV/ Netflix vs Blockbuster]

He contends that Kodak was so busy fighting Fuji in the 80s and 90s that they seriously underinvested in digital. They just figured that they could jump onto the P2 curve when the time was right, using that core competency in color.

Scott Anthony comes up with two more lessons in this:

Start before you need to. … The challenge — what I call “The Innovator’s Paradox” — is when you have the freedom to change, you don’t feel the urgency. For example, in the early days of Kodak’s disruption, its core film business actually was growing. A lack of urgency allows a company to treat new growth efforts as science experiments that are academically interesting but not vital activities. However, once the urgency grows, freedom narrows rapidly, as attention goes to staunching the bleeding in the core business.

Place multiple bets. It’s always hard to know which idea is going to be “The One,” especially in fast-changing industries. An ideal response involves a portfolio and pipeline of growth strategies — again, started early enough that they have time to iterate, incubate, and grow.

The bottom line in all of this is that responding to innovations that disrupt your core business model is incredibly hard. You need to invest early, you need to have a clear idea of how you will compete in the new environment, and you have to have a reasonably accurate map of how the new innovation will disrupt your current products and services.

Having a good understanding of the innovation diffusion S-Curve will help with all of these steps.

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There’s No Such Thing as Information Overload

The size of your inbox or your RSS feed or your twitter stream might all argue otherwise, but there’s no such thing as information overload.

Or, at least, if there is, it’s not new. Check this out:

As long as the centuries continue to unfold, the number of books will grow continually, and one can predict that a time will come when it will be almost as difficult to learn anything from books as from the direct study of the whole universe. It will be almost as convenient to search for some bit of truth concealed in nature as it will be to find it hidden away in an immense multitude of bound volumes.

That was Denis Diderot in “Encyclopedie”, back in 1755. 1755!

The problems that we have with information isn’t that there’s too much of it – there has always been too much. Rather, there are two related problems with information: how do we filter out information that doesn’t help us, and how do we find information that we need.

Jorge Luis Borges touches on this in his story The Library of Babel. You should go read it here since everyone should be reading more Borges. The story is short, but packed with ideas. The library has an infinite number of rooms, all filled with books. Each book is the same length, with randomly assembled letters. The Men of the Library spend their lives wandering the shelves, reading the books. Since the library is infinite, it must contain all books ever written (and all that will be written!), but since the library is infinite, the odds of coming across even one sentence that makes sense are exceedingly small.

It is useless to observe that the best volume of the many hexagons under my administration is entitled The Combed Thunderclap and another The Plaster Cramp and another Axaxaxas mlö. These phrases, at first glance incoherent, can no doubt be justified in a cryptographical or allegorical manner; such a justification is verbal and, ex hypothesi, already figures in the Library. I cannot combine some characters

dhcmrlchtdj

which the divine Library has not foreseen and which in one of its secret tongues do not contain a terrible meaning. No one can articulate a syllable which is not filled with tenderness and fear, which is not, in one of these languages, the powerful name of a god. To speak is to fall into tautology. This wordy and useless epistle already exists in one of the thirty volumes of the five shelves of one of the innumerable hexagons — and its refutation as well. (An n number of possible languages use the same vocabulary; in some of them, the symbol library allows the correct definition a ubiquitous and lasting system of hexagonal galleries, but library is bread or pyramid or anything else, and these seven words which define it have another value. You who read me, are You sure of understanding my language?)

What do you do when you are faced with all of the information in the world? To make any sense of it, you have to find the information that is useful to you. So we filter.

As Borges suggests, each piece of information means something to someone, even if it’s gibberish to us. We need to knock out the stuff that’s gibberish. So we find ways to ignore information, by saying things like “Twitter is just 100 million people talking about what they ate for lunch, so why would I waste my time with that?” I do this by ignoring TV (unless I can find a hockey game on). Everyone makes choices about what they should be paying attention to.

The key to dealing with information is to be conscious of the choices that you’re making, and to develop a strategy or a set of routines for handling it. Howard Rheingold has created an outstanding set of resources for his classes on Mind Amplifiers and Infotention. Start with those to develop a filtering strategy.

We’ve always had too much information to handle, and we’ve always dealt with it by developing routines. The real difference now is not that there’s so much more information, it’s that we don’t have good routines to go with the new channels that the information is taking to get to us.

The danger in thinking that we have too much information is that we’ll start missing out on innovation opportunities. After all, the creative part of innovation is about making novel connections between ideas. So we actually have to seek out information that is a bit out of the ordinary (see the end of this post for some techniques for doing this).

If you think that the problem is information overload, then this will seem completely counterintuitive. That’s why it’s a dangerous idea – if you take it seriously, it makes it much harder to innovate.

That’s why I say that there’s no such thing as information overload. Even if that’s not strictly true, we’re better off acting as though that’s the case.

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When is it OK to Ignore Innovation?

The earth has been around for 4.5 billion years or so. If you think of the last 10% of that time, a fair bit has happened. There have periods of major global warming, and a few ice ages. There have been asteroid strikes, and other natural disasters too numerous to count. Continents that were one continuous land mass 450 million years ago are now separated by oceans. And there have been five major extinction events.

Through all of that change, disruption and chaos, what has been the most stable environment on earth? The deep ocean. There’s no light down there, so it doesn’t matter if an asteroid strike kicks so much stuff into the air that all of the coral reefs and dinosaurs die out. It’s always cold, so climate change up on the surface doesn’t have much of an impact either. The deep ocean has stayed pretty much the same all the way through.

And that’s where the Coelacanth lives.

I’ve been fascinated with Coelacanths since I first read about them in On Methuselah’s Trail: Living Fossils and the Great Extinctionsby Peter Douglas Ward.

The first fish in this family show up in the fossil record about 400 million years ago. Their fossils are pretty consistently around for a long time, until they disappeared about 65 million years ago around the Cretaceous extinction, the one that killed off the dinosaurs.

Because there was no record of them for 65 million years, scientists thought that they were extinct. And then a museum curator found one in the catch of a fishing boat off the coast of South Africa in 1938. In a curious aside, it turns out that the fishermen had known about the Coelacanths for a long time, but whenever they caught one they threw it back because they’re apparently very poor eating. It was only once they realised that museums were willing to pay them for specimens that they started to keep them.

There are two species of Coelacanth around now, and structurally they haven’t changed much at all since the first specimens from 400 million years ago.

In other words, they haven’t innovated one bit in 400 million years.

Why? Because they live in the deep ocean, the most stable environment in the world over that period of time.

So the answer to the question When is it OK to Ignore Innovation? is: when you’re in a stable environment.

Just as the Coelacanth shows that you don’t necessarily have to evolve to survive, in the economy you don’t necessarily have to innovate to survive. If, and it’s a big if, your environment is stable. It doesn’t need to be as stable as the deep ocean, but if you have good market share in an established industry, with little macroeconomic fluctuation, and you’re happy with your overall performance, then go ahead and ignore innovation.

The rest of us probably need to be thinking about how to execute some great new ideas, and also how to get those ideas to spread.

In his book The Evolutionary World: How Adaptation Explains Everything from Seashells to Civilization, Geerat Vermeij discusses how previous global warming periods have led to explosions in evolution:

The evolutionary dividends of a warmer world are attainable only if three conditions are met. First, populations must have ready access to a plentiful supply of necessary resources, so that when an imperfect innovation arises, it can linger in the population long enough to be improved by selection. If the population is allowed to grow under a permissive regime of of predictable plenty, not every deviant individual is purged from the population, and selection has enough to work with. Second, competition for locally scarce resources – the main agency of enemy-related selection – must be intense enough and consistent enough to allow improvements to spread in the population. Third, there must be sufficient evolutionary time – thousands to millions of years – to allow selection to do its work.

You can translate these rules of evolutionary innovation over to economic innovation:

  • You need slack resources to innovate. This is why efficiency and innovation often come into conflict. As Greg Satell says, most innovation is crappy. Vermeij points out that imperfect evolutionary innovations need sufficient resources to keep them around long enough to be improved by selection. It’s exactly the same for economic innovations. They rarely work as planned at the start – they need feedback from customers, suppliers and others to really become good. That takes time and resources.
  • Innovation works best when there’s competition. Even though there are extra resources around, there still needs to be competition to drive improvement. If the environment is too stable, like the Coelacanth’s, the lack of competition leads to no innovation.
  • You need time to turn your crappy innovation into something excellent. Innovative ideas diffuse along an S-Curve, and it usually takes a lot longer for this to happen than we expect it to. Fortunately, economic innovations don’t need hundreds of thousands of years for this to happen, but the gap between having the great idea and seeing it adopted is still usually very long.

Innovation is an evolutionary process, and you can learn interesting things about this process by studying natural history. And the story of the Coelacanth shows us that there even times when you don’t have to innovate at all.

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Innovation Lessons from Hedy Lamarr

Every time you use wi-fi, bluetooth, a cordless phone (including mobiles), GPS or anything with an RFID tag, you’re using a technology called spread spectrum radio. The first version of spread spectrum was invented during World War II as a method for controlling torpedos using rapidly changing radio frequency to control their direction in a way that couldn’t be jammed. It was invented by the composer George Antheil and the actor Hedy Lamarr.

That’s Hedy Lamarr:

not Hedley Lamarr:

The story of the invention is told by Richard Rhodes in Hedy’s Folly: The Life and Breakthrough Inventions of Hedy Lamarr, the Most Beautiful Woman in the World, which is well worth the read.

The story includes several important innovation lessons, including:

  • Connecting ideas is the fundamental creative act of innovation: Rhodes interviewed Neno Amarena an engineer that discussed Lamarr’s inventive work with her in later years:

    “More often than not,” he told me, “the inventive process follows a cascade of ideas and thoughts interconnected from previous concepts that for the most part lie separate, unconnected and unrelated. It takes a clear state of mind, which is usually someone thinking ‘outside the box,’ to suddenly or serendipitously see the connected between the unrelated concepts and put it all together to create something new.” In that regard, the process of invention is no different from the creative process in other fields. Scientific discovery proceeds the same way. So do painting and sculpture. So does creative writing. The results are different, because each process operates on different realities and by different rules.

    That’s just a beautiful passage, which captures things perfectly.

  • Innovation is a process: coming up with a great idea isn’t enough to innovate. You also have to select which ideas to pursue, you have to make them work, and you have to get them to spread. Lamarr and Antheil did all of the first three things brilliantly, but they fell over on the last bit. They figured out how to make spread spectrum work through frequency hopping, and were granted a patent for that. However, they couldn’t get the US Navy to adopt their idea. The donated the patent to the Navy, where it sat for about 20 years. It wasn’t until the 1980s that people started to realise what Lamarr and Antheil had accomplished. Which leads to the third point -
  • Ideas spread slowly: and they can be ahead of their time. We like to think that the value of an idea is self-evident. This often isn’t true, and even when it is, that doesn’t mean that people will adopt it. In addition, you can be ahead of your time technologically. According to Rhodes, that seemed to be the case here:

    “Lamarr and Antheil,” Price writes, “seem… to have been more than a score of years ahead of their time, considering that [frequency hopping] evidently was not used operationally against intentional jamming until [1963].”

    You have to fight to get your ideas to spread, and this is a crucial part of the innovation process.

There’s also one last point that is easy to overlook: Lamarr and Antheil invented this breakthrough technology in their spare time. She was busy becoming a movie star, and he was writing symphonies while they worked out how to turn frequency hopping into a functional idea. A frequent excuse for not innovating is “I don’t have enough time.” But you do. Find the time, and use it.

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Two Reasons Why You Must Change Your Mind

One of the frustrating things about following politics is the idea, apparently deeply engrained, that you must never change your mind. If you do, you’re a flip-flopper, or wishy-washy, and you’re clearly not to be trusted.

The main problem with this line of thinking is that it is utterly and dangerously wrong. We live in a dynamic world, and our brains are dynamic – if you’re not changing your mind all the time, it’s a danger sign.

There are two very good reasons to change your mind: the facts have changed, or you have learned something.

Changing Facts

To those of us that take innovation seriously, Joseph Schumpeter is the patron saint of economists. He was the first person to really articulate the importance of innovation and how central it is to economic growth. Just to give you an idea of how important he is, here is a picture of picking out a new kitten last year, who is now named Schumpeter!

One question that Schumpeter considered in his first groundbreaking book, The Theory of Economic Development, is this: which type of firm is more innovative – small or large?

It’s a question he kept coming back to. Here is how Adrian Wooldridge put it in The Economist (and in another signal of the regard in which Schumpeter is held, his weekly column there is called “Schumpeter”):

Joseph Schumpeter, after whom this column is named, argued both sides of the case. In 1909 he said that small companies were more inventive. In 1942 he reversed himself. Big firms have more incentive to invest in new products, he decided, because they can sell them to more people and reap greater rewards more quickly. In a competitive market, inventions are quickly imitated, so a small inventor’s investment often fails to pay off.

Now, the big or small question is still interesting, but that’s not what I’m concerned with today. Instead, look at how he phrases this – “Schumpeter… argued both sides of the case.” This idea often comes up, and people usually try to say that Schumpeter was being slippery by trying to have things both ways.

But here’s the thing – Schumpeter changed his mind because the facts changed. In 1909, big firms didn’t innovate at all. The largest firms were mostly extractive. Nearly all new ideas came from smaller firms. Corporate R&D was just starting at the time, in Edison’s workshop and in the labs of the chemical companies that were trying to make new dyes for clothes.

A lot changed between then and the 1940s, including the innovation process. By the middle of the century, invention and innovation both were dominated by large corporate R&D. That was the birth of the mass market, an economic environment built by and favouring large firms.

Schumpeter changed his mind because the facts changed.

Learning Something

Here’s a quote attributed to John Maynard Keynes:

When the facts change, I change my mind. What do you do, sir?

One of the implications implicit in that quote is that Keynes was always right. Unfortunately, most of us aren’t as infallible as he was. So we have to learn by being wrong.

This is a crucial innovation skill. We have a hypothesis about how we can make the world a better place – we have a great idea. The only way to turn it into an innovation is to experiment.

Often, our initial assumptions are wrong. By experimenting, we figure out which ideas work, and which don’t – we learn. And by learning, we change our minds.

Dynamics Minds for Dynamic Times

We live in a dynamic world. More importantly, we are learning machines. Both of these facts mean that we should be changing our minds all of the time. Rather than being a sign of weakness, a changed mind is a sign of someone that knows something more than they used to.

We should be learning all the time. Changing your mind is a sign of learning. We shouldn’t avoid it, we should seek it out. As Edward de Bono says:

If you never change your mind, why have one?

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Innovation Obstacle: Most People Don’t Like New Ideas

You have a new idea and it’s great! And yet, people are slow to adopt it. In fact, sometimes it seems like they hate it – it would actually be an improvement if they were only indifferent.

Why does this happen? It’s a common problem, and it doesn’t really matter what kind of idea it is – the same thing happens with new things, new ideas, new ways of doing things and new ways of organising a business model. This reluctance to adopt new ideas is a major obstacle to innovation.

Seth Godin talks about how strange it is, and how novel historically, for people to buy something for the first time:

If you are trying to grow your coaching practice or b2b saas business or widget shop, understand that you are almost certainly pushing against a significant barrier: most people hesitate before buying something for the first time. If you’re trying to develop trade in the underprivileged world, understand that teaching people to buy anything for the first time is a revolutionary concept.

And most of what gets sold to us each day at work or at home are switching products. “Ours is just like the one you already use, but cheaper/better/faster/cooler.”

The potent mix of fear of loss, desire for gain and curiousity fuel the appeal of buying for the first time. But it’s magic, it’s not science, and it doesn’t often happen on schedule.

What creates that barrier? Here’s what Simone de Beauvoir said about it (from a post by Justine Musk):

The writer of originality, unless dead, is always shocking, scandalous; novelty disturbs and repels.

Novelty disturbs and repels – no wonder it’s so hard to get our great new ideas across. No wonder ideas spread so slowly.

Another problem is that just the same, but cheaper/better/faster/cooler doesn’t really work either. It takes a lot of work to get people to switch.

So what do we do?

Here’s what Umair Haque says (in a post, and in his new book):

The pursuit of more, bigger, faster, cheaper, nastier too often seems to demand putting what, why, and who we love at the end of the list, the underworld of the inbox, the bottom of the heap. That’s a recipe for stagnation, whether for people, communities, cities, countries, or the globe. But the converse might just hold, too: if nations and corporations want to punch past the glass ceiling of mere opulence, to what I call eudaimonic prosperity — lives that are meaningfully well lived — well, then people might just have to begin by making if not radically, then at least marginally more meaningful choices themselves.

People resist new ideas. The only way around this is to give them ideas that really matter.

Here’s some more from Seth Godin on that:

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When Was the Last Time You Were Wrong?

Here’s just one of several examples from me today – I was completely wrong about the talk I gave this morning. I sent the slides through to the organisation I was giving it for on Wednesday. Then I spent the entire 90 minute drive down to the venue re-thinking what should go in the talk.

I thought of about 10 slides that I had to add, and I was sure that if I didn’t add them, the talk would be a disaster.

When it was time to set up, I looked on my usb stick to find the other talk that had the additional slides on it, but it wasn’t there. I had to go with my original ones.

So I did. And it ended up being the best public talk I’ve ever given.

I was completely wrong on the drive down about what had to change.

always make new mistakes

There all kinds of mistakes that we can make. We can overthink something like I did, or we can underthink it. We can try something that doesn’t work, or we can let fear keep us from trying something that would work. It was fear at work with me this morning. I had a talk that was quite different from others that I’ve given, and I wanted to add in some familiar slides so that I’d feel more comfortable. If I had, it would have ruined the talk. It’s good that I tried out the new talk – even if it hadn’t worked, I’d've learned something that would make the next one better, which wouldn’t have happened if I had gone with one of my standard talks.

Scott Berkun posted a great quote from Woody Allen from the American Masters documentary on him:

There are a lot of surprises that happen between writing it, doing it, and seeing it on the screen, most surprises are negative. Most surprises are that you thought something was good, or funny, and it’s not. I’ve made just about 40 films in my life and so few of them have really been worth anything. Because it’s not easy – if it’s easy it wouldn’t be fun, it wouldn’t be valuable.

The key point that I take from this is that we have to execute our ideas to see if they’ll work. The whole point of innovating is to experiment. Try something, find out what works, and learn from what doesn’t.

There always will be surprises, and not everything will work out as you plan. In fact, almost nothing will work out as you plan. That’s why we have to actually try things, because that’s the only way to find out what will actually work.

When was the last time you were wrong? I hope it was recently.

(The awesome photo is from flickr/elycefeliz under a Creative Commons License).

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How to Make Things Look Simple

Here’s a story I’ve told a couple of times now:

One of the best live shows that I saw during my university days was Beat Happening and Girl Trouble. All of us were a long way from home in Washington when I saw them in New Jersey. While Beat Happening was playing what I thought was a pretty mesmerising show, my friend Tom leaned over to me and said ‘we could do that.’ I looked at him for a long time, then said ‘but we don’t, do we?’

Part of what was going on there was that Beat Happening made things look incredibly simple. As the success of Apple shows, simple is good. People like simple. But the Apple example also shows that you have to work awfully hard to make something complex seem simple. You need to work your way through simplistic and complex before you get to simple.

How can you do this?

The secret to making things look simple is to build a deep understanding of the system.

There was another example of this in the fantastic exhibition of drawings by Matisse that just opened at the Gallery of Modern Art here in Brisbane (and if you’ll be in Brisbane between now and March, I strongly recommend seeing it).

Here is a picture that I took at the exhibition (just before the guard yelled at me for taking pictures):

To paint one of his masterpieces, he did 3000 sketches first, over a nine year period. 3000!

So one way to make things look simple is to do them a lot, for a long time.

At the end of his career, Matisse started a series of work that he called themes and variations. These consisted of series of line drawings of the same subject. He did these by first making the theme drawing. He did both models and still lifes, and in each case he spent many hours on this theme drawing over a number of days. The point of this was to gain a deep understanding of the subject, and to figure out what elements were the most important. Here is one he made for a series of variations of his granddaughter – at this point it doesn’t look much like art:

The thing that he was trying to do was to capture the fleeting expressions that people have, which he believed revealed their personalities. This is very hard to do with a painting. So after sinking all of that time into building the theme drawing, he would very quickly do line drawings like this:

Simple, right?

But he could only do things that looked this simple after investing many hours into learning the subjects. And he only developed this method after 50 years as an artist. The key to this simplicity is the deep understanding that he built over all those years and all those iterations.

One of the keys to innovating is to make something novel that seems obvious once you show it to people. It is a creative enterprise. Making it seem obvious often means making it simple.

The challenge here is that simple is pretty hard. It takes time, it takes learning, and it takes skill. But if you get it right, the rewards can be great.

Here is a great quote from Ira Glass of NPR that I ran across yesterday which sums it up:

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Life’s What You Make It

Well, we’re all getting older. What do you make of it? I ran across an interesting post by Ben Casnocha, which referenced an article by Benjamin Schwarz which includes this comment on John Updike:

Above all, and most poignantly, this collection highlights Updike’s evaluation of the slackening of his own mental and athletic prowess… A generous and companionable critic and an avowed Christian, Updike met the decline of his powers with courage and good humor, but also with a clear-eyed recognition that the compensations of old age—a hard-won sagacity, a bemused detachment—don’t make up for the irretrievable losses.

Here’s the thing – you have a choice about whether or not the compensations of old age make up for the losses.

I was in the best physical condition of my life when I was 20. And I was a wreck. I was a befuddling mix of arrogant and insecure, I was struggling at university, I was depressed. I had gifts that were not yet developed, and potential that seemed to be fading rather than emerging.

In short, I was an idiot. But probably not that far off the norm for a 20 year old either.

By the time I hit 30, things were a bit better. Nancy and I had just gotten married, which was great. Work was still a bit of a struggle – I still hadn’t figured out how to best use my talent. Physically, I was in ok shape, but nowhere near as fit as I was at 20.

At 40, I was in the middle of making a career change that was the smartest career move I’ve managed to make. There were high levels of uncertainty over whether or not it would work, but life was a lot better than it had been at 30 – even though I was in the worst physical shape of my life.

Now I’m rocketing towards 50 – and things are even better than they had been. Work is good, and some of that potential from when I was 20 is finally turning into something meaningful. Physically, I’m fitter than I was at 40, but I’m starting to lose a few things too, as you do.

I know I’m lucky, but for me, life has just gotten better and better as I’ve aged. Now, Ben Casnocha has been precociously successful, so maybe things will be different for him. I don’t think so though.

Why I am happier now than I was at 20 – despite the irretrievably physical losses? Because of the things I’ve learned, and that I only could have learned through experience. I’m better at executing ideas now because I’ve learned how to do it. This has been the key to developing that long-dormant potential.

This isn’t to say that bad things haven’t happened over the years, or that more won’t happen in the future. Of course they will. But one thing that I’ve learned is that the best way to ensure that your life gets worse as you get older is to convince yourself that life must get worse as you age. It doesn’t have to. The things around you don’t determine how you must live your life – read Man’s Search For Meaning by Victor Frankl for insight into that. The knowledge that you gain as you experience life is unobtainable when you’re young. You’d be smart to place a pretty high value on that.

At all ages, life’s what you make it.

Here’s a song by Talk Talk from my fit dance-club days that I stole the post title from:

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Scarcity as the “Mother of Invention”

Can we decouple growth from consumption of resources?

Guest post by: James Bradfield Moody

Co-Author, The Sixth Wave: How to Succeed in a Resource-Limited World

Over the last 200 years, since the industrial revolution, we have seen economic growth strongly coupled with the consumption of more and more resources.  The more we grew, the more we consumed. 

This model works well in a world without limits, with plenty of resources to go around.  We’re starting to realise however that these resources, from ores to phosphates and water to topsoil are not as plentiful as we once thought.

For example, a report released at the World Economic Forum last year estimated that we are already consuming 95 per cent of the existing reliable supply of freshwater on the globe, yet also forecasting demand for freshwater to increase by 61 per cent  to 2030 in China alone.  Something has to give. 

And what might give is the model that rewards the conversion of as much resource as possible into outputs to drive growth.  Instead we might start to see a model where resource scarcity drives many of our choices.  This is a shift from an old mode of operation where we have been harvesting resources that were plentiful and cheap to one where we are managing resources that are scarce and valuable. 

In this world we start to decouple economic growth from resource consumption. 

But does this mean that we will see any less growth in our economy?  Not if we rise to the challenge.  Indeed, our recent book ‘The Sixth Wave: How to succeed in a resource-limited world’ identified areas of massive business opportunity for companies and countries that come from focusing on scarcity as an opportunity, not a challenge.

The first place to look for growth without resource consumption is in waste.  If you want to succeed in a resource-limited world, find a major source of waste and develop an innovation that either dramatically reduces that waste or does away with it altogether. New and old businesses are extracting methane from landfill to generate electricity, turning organic waste from supermarkets into compost or minimising heat and light waste from houses and office buildings.

Many companies are also finding business models that take waste and turn it into something productive, such as the Canadian Brewery that found it could use its grain waste to grow Shitake mushrooms.  Car share businesses are finding that as many as 10 families are sharing a single car, making much more use out of a single capital asset. 

The second big idea for separating growth from resource consumption is this:  Sell the service, not the product.  Companies and nations are learning that the best way to create value without consuming resources is through services, which has far reaching implications for the world economy, the internet and the way of life as we know it.  Do you want a car or do you want mobility?  Perhaps a car share service might be good for you.  Do you want energy or do you want heat and light?  Woking Borough Council in the UK has found a way to sell ‘heat’ to households and then works out how to deliver that heat through as little energy as possible.  Businesses that sell services quickly find that it is in everyone’s interest to deliver the service with the least consumption possible.

With more value in monitoring our natural resources, more and more devices will emerge that connect the digital and the natural worlds.  Think of this as having absolutely everything around you connected to the net (you already have your digital analogue – the mobile phone).  The whole planet and all of its natural resources will be measured and monitored to the point that everything in the natural world will one day have a digital counterpart, and many companies will emerge to manage and take advantage of this rich source of information.

Put these together and you get a fourth idea: Information is global, consumption is local.  Reducing the consumption of natural resources will drive everything to do with natural resources to become more local, while services that don’t consume resources will be truly global endeavours.  Energy production will be distributed and localised and resources will be recycled as close as possible to the point of consumption. 

If we do decouple resources from growth, what will our world look like? It will be a world where nothing is wasted and everything has a value.  It will be a world in which we don’t think so often in terms of ‘products’, but of ‘services’, and a world where resources are mapped and measured to a degree never before seen.  We still enjoy the quality of life that we expect, but we have changed our business models and incentive structures to reward what we really value and get rid of everything else. 

Dr James Bradfield Moody (@jamesbmoody) is Executive Director of Development at CSIRO and co-author of The Sixth Wave; How to succeed in a resource-limited world (www.sixthwave.org) with Bianca Nogrady (@SixthWaveBook).

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