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Where Good Ideas Come From: The Natural History of Innovation Paperback – October 4, 2011
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The printing press, the pencil, the flush toilet, the battery--these are all great ideas. But where do they come from? What kind of environment breeds them? What sparks the flash of brilliance? How do we generate the breakthrough technologies that push forward our lives, our society, our culture? Steven Johnson's answers are revelatory as he identifies the seven key patterns behind genuine innovation, and traces them across time and disciplines. From Darwin and Freud to the halls of Google and Apple, Johnson investigates the innovation hubs throughout modern time and pulls out the approaches and commonalities that seem to appear at moments of originality.
- Print length344 pages
- LanguageEnglish
- PublisherRiverhead Books
- Publication dateOctober 4, 2011
- Dimensions5.55 x 0.95 x 8.25 inches
- ISBN-101594485380
- ISBN-13978-1594485381
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Editorial Reviews
Review
"A vision of innovation and ideas that is resolutely social, dynamic and material...Fluidly written, entertaining and smart without being arcane."--"Los Angeles Times"
"A magical mystery tour of the history and architecture of innovation."--"The Oregonian"
"A rapid-fire tour of 'spaces' large, small, mental, physical, and otherwise... Where Good Ideas Come From may be the ultimate distillation of his thinking on these issues... One admires the intellectual athleticism of Johnson's maneuvers here."--"Boston Globe"
About the Author
Excerpt. © Reprinted by permission. All rights reserved.
Introduction
REEF, CITY, WEB
The forms of things unknown, the poet’s pen
Turns them to shapes and gives to airy nothing
A local habitation and a name.
—SHAKESPEARE, A Midsummer Night’s Dream, V.i.14-17
Darwin’s Paradox
April 4, 1836. Over the eastern expanse of the Indian Ocean, the reliable northeast winds of monsoon season have begun to give way to the serene days of summer. On the Keeling Islands, two small atolls composed of twenty-seven coral islands six hundred miles west of Sumatra, the emerald waters are invitingly placid and warm, their hue enhanced by the brilliant white sand of disintegrated coral. On one stretch of shore usually guarded by stronger surf, the water is so calm that Charles Darwin wades out, under the vast blue sky of the tropics, to the edge of the live coral reef that rings the island.
For hours he stands and paddles among the crowded pageantry of the reef. Twenty-seven years old, seven thousand miles from London, Darwin is on the precipice, standing on an underwater peak ascending over an unfathomable sea. He is on the edge of an idea about the forces that built that peak, an idea that will prove to be the first great scientific insight of his career. And he has just begun exploring another hunch, still hazy and unformed, that will eventually lead to the intellectual summit of the nineteenth century.
Around him, the crowds of the coral ecosystem dart and shimmer. The sheer variety dazzles: butterflyfish, damselfish, parrotfish, Napoleon fish, angelfish; golden anthias feeding on plankton above the cauliflower blooms of the coral; the spikes and tentacles of sea urchins and anemones. The tableau delights Darwin’s eye, but already his mind is reaching behind the surface display to a more profound mystery. In his account of the Beagle’s voyage, published four years later, Darwin would write: “It is excusable to grow enthusiastic over the infinite numbers of organic beings with which the sea of the tropics, so prodigal of life, teems; yet I must confess I think those naturalists who have described, in well-known words, the submarine grottoes decked with a thousand beauties, have indulged in rather exuberant language.”
What lingers in the back of Darwin’s mind, in the days and weeks to come, is not the beauty of the submarine grotto but rather the “infinite numbers” of organic beings. On land, the flora and fauna of the Keeling Islands are paltry at best. Among the plants, there is little but “cocoa-nut” trees, lichen, and weeds. “The list of land animals,” he writes, “is even poorer than that of the plants”: a handful of lizards, almost no true land birds, and those recent immigrants from European ships, rats. “The island has no domestic quadruped excepting the pig,” Darwin notes with disdain.
Yet just a few feet away from this desolate habitat, in the coral reef waters, an epic diversity, rivaled only by that of the rain forests, thrives. This is a true mystery. Why should the waters at the edge of an atoll support so many different livelihoods? Extract ten thousand cubic feet of water from just about anywhere in the Indian Ocean and do a full inventory on the life you find there: the list would be about as “poor” as Darwin’s account of the land animals of the Keelings. You might find a dozen fish if you were lucky. On the reef, you would be guaranteed a thousand. In Darwin’s own words, stumbling across the ecosystem of a coral reef in the middle of an ocean was like encountering a swarming oasis in the middle of a desert. We now call this phenomenon Darwin’s Paradox: so many different life forms, occupying such a vast array of ecological niches, inhabiting waters that are otherwise remarkably nutrient-poor. Coral reefs make up about one-tenth of one percent of the earth’s surface, and yet roughly a quarter of the known species of marine life make their homes there. Darwin doesn’t have those statistics available to him, standing in the lagoon in 1836, but he has seen enough of the world over the preceding four years on the Beagle to know there is something peculiar in the crowded waters of the reef.
The next day, Darwin ventures to the windward side of the atoll with the Beagle’s captain, Vice Admiral James FitzRoy, and there they watch massive waves crash against the coral’s white barrier. An ordinary European spectator, accustomed to the calmer waters of the English Channel or the Mediterranean, would be naturally drawn to the impressive crest of the surf. (The breakers, Darwin observes, are almost “equal in force [to] those during a gale of wind in the temperate regions, and never cease to rage.”) But Darwin has his eye on something else—not the violent surge of water but the force that resists it: the tiny organisms that have built the reef itself.
The ocean throwing its waters over the broad reef appears an invincible, all-powerful enemy; yet we see it resisted, and even conquered, by means which at first seem most weak and inefficient. It is not that the ocean spares the rock of coral; the great fragments scattered over the reef, and heaped on the beach, whence the tall cocoa-nut springs, plainly bespeak the unrelenting power of the waves . . . Yet these low, insignificant coral-islets stand and are victorious: for here another power, as an antagonist, takes part in the contest. The organic forces separate the atoms of carbonate of lime, one by one, from the foaming breakers, and unite them into a symmetrical structure. Let the hurricane tear up its thousand huge fragments; yet what will that tell against the accumulated labour of myriads of architects at work night and day, month after month?
Darwin is drawn to those minuscule architects because he believes they are the key to solving the mystery that has brought the Beagle to the Keeling Islands. In the Admiralty’s memorandum authorizing the ship’s five-year journey, one of the principal scientific directives is the investigation of atoll formation. Darwin’s mentor, the brilliant geologist Charles Lyell, had recently proposed that atolls are created by undersea volcanoes that have been driven upward by powerful movements in the earth’s crust. In Lyell’s theory, the distinctive circular shape of an atoll emerges as coral colonies construct reefs along the circumference of the volcanic crater. Darwin’s mind had been profoundly shaped by Lyell’s understanding of the deep time of geological transformation, but standing on the beach, watching the breakers crash against the coral, he knows that his mentor is wrong about the origin of the atolls. It is not a story of simple geology, he realizes. It is a story about the innovative persistence of life. And as he mulls the thought, there is a hint of something else in his mind, a larger, more encompassing theory that might account for the vast scope of life’s innovations. The forms of things unknown are turning, slowly, into shapes.
Days later, back on the Beagle, Darwin pulls out his journal and reflects on that mesmerizing clash between surf and coral. Presaging a line he would publish thirty years later in the most famous passage from On the Origin of Species, Darwin writes, “I can hardly explain the reason, but there is to my mind much grandeur in the view of the outer shores of these lagoon-islands.” In time, the reason would come to him.
The Superlinear City
From an early age, the Swiss scientist Max Kleiber had a knack for testing the edges of convention. As an undergraduate in Zurich in the 1910s, he roamed the streets dressed in sandals and an open collar, shocking attire for the day. During his tenure in the Swiss army, he discovered that his superiors had been trading information with the Germans, despite the official Swiss position of neutrality in World War I. Appalled, he simply failed to appear at his next call-up, and was ultimately jailed for several months. By the time he had settled on a career in agricultural science, he had had enough of the restrictions of Zurich society. And so Max Kleiber charted a path that would be followed by countless sandal-wearing, nonconformist war protesters in the decades to come. He moved to California.
Kleiber set up shop at the agricultural college run by the University of California at Davis, in the heart of the fertile Central Valley. His research initially focused on cattle, measuring the impact body size had on their metabolic rates, the speed with which an organism burns through energy. Estimating metabolic rates had great practical value for the cattle industry, because it enabled farmers to predict with reasonable accuracy both how much food their livestock would require, and how much meat they would ultimately produce after slaughter. Shortly after his arrival at Davis, Kleiber stumbled across a mysterious pattern in his research, a mathematical oddity that soon brought a much more diverse array of creatures to be measured in his lab: rats, ring doves, pigeons, dogs, even humans.
Scientists and animal lovers had long observed that as life gets bigger, it slows down. Flies live for hours or days; elephants live for half-centuries. The hearts of birds and small mammals pump blood much faster than those of giraffes and blue whales. But the relationship between size and speed didn’t seem to be a linear one. A horse might be five hundred times heavier than a rabbit, yet its pulse certainly wasn’t five hundred times slower than the rabbit’s. After a formidable series of measurements in his Davis lab, Kleiber discovered that this scaling phenomenon stuck to an unvarying mathematical script called “negative quarter-power scaling.” If you plotted mass versus metabolism on a logarithmic grid, the result was a perfectly straight line that led from rats and pigeons all the way up to bulls and hippopotami.
Physicists were used to discovering beautiful equations like this lurking in the phenomena they studied, but mathematical elegance was a rarity in the comparatively messy world of biology. But the more species Kleiber and his peers analyzed, the clearer the equation became: metabolism scales to mass to the negative quarter power. The math is simple enough: you take the square root of 1,000, which is (approximately) 31, and then take the square root of 31, which is (again, approximately) 5.5. This means that a cow, which is roughly a thousand times heavier than a woodchuck, will, on average, live 5.5 times longer, and have a heart rate that is 5.5 times slower than the woodchuck’s. As the science writer George Johnson once observed, one lovely consequence of Kleiber’s law is that the number of heartbeats per lifetime tends to be stable from species to species. Bigger animals just take longer to use up their quota.
Over the ensuing decades, Kleiber’s law was extended down to the microscopic scale of bacteria and cell metabolism; even plants were found to obey negative quarter-power scaling in their patterns of growth. Wherever life appeared, whenever an organism had to figure out a way to consume and distribute energy through a body, negative quarter-power scaling governed the patterns of its development.
Several years ago, the theoretical physicist Geoffrey West decided to investigate whether Kleiber’s law applied to one of life’s largest creations: the superorganisms of human-built cities. Did the “metabolism” of urban life slow down as cities grew in size? Was there an underlying pattern to the growth and pace of life of metropolitan systems? Working out of the legendary Santa Fe Institute, where he served as president until 2009, West assembled an international team of researchers and advisers to collect data on dozens of cities around the world, measuring everything from crime to household electrical consumption, from new patents to gasoline sales.
When they finally crunched the numbers, West and his team were delighted to discover that Kleiber’s negative quarter-power scaling governed the energy and transportation growth of city living. The number of gasoline stations, gasoline sales, road surface area, the length of electrical cables: all these factors follow the exact same power law that governs the speed with which energy is expended in biological organisms. If an elephant was just a scaled-up mouse, then, from an energy perspective, a city was just a scaled-up elephant.
But the most fascinating discovery in West’s research came from the data that didn’t turn out to obey Kleiber’s law. West and his team discovered another power law lurking in their immense database of urban statistics. Every datapoint that involved creativity and innovation—patents, R&D budgets, “supercreative” professions, inventors—also followed a quarter-power law, in a way that was every bit as predictable as Kleiber’s law. But there was one fundamental difference: the quarter-power law governing innovation was positive, not negative. A city that was ten times larger than its neighbor wasn’t ten times more innovative; it was seventeen times more innovative. A metropolis fifty times bigger than a town was 130 times more innovative.
Kleiber’s law proved that as life gets bigger, it slows down. But West’s model demonstrated one crucial way in which human-built cities broke from the patterns of biological life: as cities get bigger, they generate ideas at a faster clip. This is what we call “superlinear scaling”: if creativity scaled with size in a straight, linear fashion, you would of course find more patents and inventions in a larger city, but the number of patents and inventions per capita would be stable. West’s power laws suggested something far more provocative: that despite all the noise and crowding and distraction, the average resident of a metropolis with a population of five million people was almost three times more creative than the average resident of a town of a hundred thousand. “Great cities are not like towns only larger,” Jane Jacobs wrote nearly fifty years ago. West’s positive quarter-power law gave that insight a mathematical foundation. Something about the environment of a big city was making its residents significantly more innovative than residents of smaller towns. But what was it?
The 10/10 Rule
The first national broadcast of a color television program took place on January 1, 1954, when NBC aired an hour-long telecast of the Tournament of Roses parade, and distributed it to twenty-two cities across the country. For those lucky enough to see the program, the effect of a moving color image on a small screen seems to have been mesmerizing. The New York Times, in typical language, called it a “veritable bevy of hues and depth.” “To concentrate so much color information within the frame of a small screen,” the Times wrote, “would be difficult for even the most gifted artist doing a ‘still’ painting. To do it with constantly moving pictures seemed pure wizardry.” Alas, the Rose Parade “broadcast” turned out to be not all that broad, given that it was visible only on prototype televisions in RCA showrooms. Color programming would not become standard on prime-time shows until the late 1960s. After the advent of color, the basic conventions that defined the television image would go unchanged for decades. The delivery mechanisms began to diversify with the introduction of VCRs and cable in the late 1970s. But the image remained the same.
In the mid-1980s, a number of influential media and technology executives, along with a few visionary politicians, had the eminently good idea that it was time to upgrade the video quality of broadcast television. Speeches were delivered, committees formed, experimental prototypes built, but it wasn’t until July 23, 1996, that a Raleigh, North Carolina, CBS affiliate initiated the first public transmission of an HDTV signal. Like the Tournament of Roses footage, though, there were no ordinary consumers with sets capable of displaying its “wizardry.”1 A handful of broadcasters began transmitting HDTV signals in 1999, but HD television didn’t become a mainstream consumer phenomenon for another five years. Even after the FCC mandated that all television stations cease broadcasting the old analog standard on June 12, 2009, more than 10 percent of U.S. households had televisions that went dark that day.
It is one of the great truisms of our time that we live in an age of technological acceleration; the new paradigms keep rolling in, and the intervals between them keep shortening. This acceleration reflects not only the flood of new products, but also our growing willingness to embrace these strange new devices, and put them to use. The waves roll in at ever-increasing frequencies, and more and more of us are becoming trained surfers, paddling out to meet them the second they start to crest. But the HDTV story suggests that this acceleration is hardly a universal law. If you measure how quickly a new technology progresses from an original idea to mass adoption, then it turns out that HDTV was traveling at the exact same speed that color television had traveled four decades earlier. It took ten years for color TV to go from the fringes to the mainstream; two generations later, it took HDTV just as long to achieve mass success.
In fact, if you look at the entirety of the twentieth century, the most important developments in mass, one-to-many communications clock in at the same social innovation rate with an eerie regularity. Call it the 10/10 rule: a decade to build the new platform, and a decade for it to find a mass audience. The technology standard of amplitude-modulated radio—what we now call AM radio—evolved in the first decade of the twentieth century. The first commercial AM station began broadcasting in 1920, but it wasn’t until the late 1920s that radios became a fixture in American households. Sony inaugurated research into the first consumer videocassette recorder in 1969, but didn’t ship its first Betamax for another seven years, and VCRs didn’t become a household necessity until the mid-eighties. The DVD player didn’t statistically replace the VCR in American households until 2006, nine years after the first players went on the market. Cell phones, personal computers, GPS navigation devices—all took a similar time frame to go from innovation to mass adoption.
Consider, as an alternate scenario, the story of Chad Hurley, Steve Chen, and Jawed Karim, three former employees of the online payment site PayPal, who decided in early 2005 that the Web was ripe for an upgrade in the way it handled video and sound. Video, of course, was not native to the Web, which had begun its life fifteen years before as a platform for academics to share hypertext documents. But over the years, video clips had begun to trickle their way online, thanks to new video standards that emerged, such as Quick-Time, Flash, or Windows Media Player. But the mechanisms that allowed people to upload and share their own videos were too challenging for most ordinary users. So Hurley, Chen, and Karim cobbled together a rough beta for a service that would correct these deficiencies, raised less than $10 million in venture capital, hired about two dozen people, and launched YouTube, a website that utterly transformed the way video information is shared online. Within sixteen months of the company’s founding, the service was streaming more than 30 million videos a day. Within two years, YouTube was one of the top-ten most visited sites on the Web. Before Hurley, Chen, and Karim hit upon their idea for a start-up, video on the Web was as common as subtitles on television. The Web was about doing things with text, and uploading the occasional photo. YouTube brought Web video into the mainstream.
Now compare the way these two ideas—HDTV and YouTube— changed the basic rules of engagement for their respective platforms. Going from analog television to HDTV is a change in degree, not in kind: there are more pixels; the sound is more immersive; the colors are sharper. But consumers watch HDTV the exact same way they watched old-fashioned analog TV. They choose a channel, and sit back and watch. YouTube, on the other hand, radically altered the basic rules of the medium. For starters, it made watching video on the Web a mass phenomenon. But with YouTube you weren’t limited to sitting and watching a show, television-style; you could also upload your own clips, recommend or rate other clips, get into a conversation about them. With just a few easy keystrokes, you could take a clip running on someone else’s site, and drop a copy of it onto your own site. The technology allowed ordinary enthusiasts to effectively program their own private television networks, stitching together video clips from all across the planet.
Some will say that this is merely a matter of software, which is intrinsically more adaptable than hardware like televisions or cellular phones. But before the Web became mainstream in the mid-1990s, the pace of software innovation followed the exact same 10/10 pattern of development that we saw in the spread of other twentieth-century technologies. The graphical user interface, for instance, dates back to a famous technology demo given by pioneering computer scientist Doug Engelbart in 1968. During the 1970s, many of its core elements—like the now ubiquitous desktop metaphor—were developed by researchers at Xerox-PARC. But the first commercial product with a fully realized graphical user interface didn’t ship until 1981, in the form of the Xerox Star workstation, followed by the Macintosh in 1984, the first graphical user interface to reach a mainstream, if niche, audience. But it wasn’t until the release of Windows 3.0 in 1990—almost exactly ten years after the Xerox Star hit the market—that graphical user interfaces became the norm. The same pattern occurs in the developmental history of other software genres, such as word processors, spreadsheets, or e-mail clients. They were all built out of bits, not atoms, but they took just as long to go from idea to mass success as HDTV did.
There are many ways to measure innovation, but perhaps the most elemental yardstick, at least where technology is concerned, revolves around the job that the technology in question lets you do. All other things being equal, a breakthrough that lets you execute two jobs that were impossible before is twice as innovative as a breakthrough that lets you do only one new thing. By that measure, YouTube was significantly more innovative than HDTV, despite the fact that HDTV was a more complicated technical problem. YouTube let you publish, share, rate, discuss, and watch video more efficiently than ever before. HDTV let you watch more pixels than ever before. But even with all those extra layers of innovation, YouTube went from idea to mass adoption in less than two years. Something about the Web environment had enabled Hurley, Chen, and Karim to unleash a good idea on the world with astonishing speed. They took the 10/10 rule and made it 1/1.
Product details
- Publisher : Riverhead Books; Reprint edition (October 4, 2011)
- Language : English
- Paperback : 344 pages
- ISBN-10 : 1594485380
- ISBN-13 : 978-1594485381
- Item Weight : 10.4 ounces
- Dimensions : 5.55 x 0.95 x 8.25 inches
- Best Sellers Rank: #51,376 in Books (See Top 100 in Books)
- Customer Reviews:
About the author

Steven Johnson is the best-selling author of seven books on the intersection of science, technology and personal experience. His writings have influenced everything from the way political campaigns use the Internet, to cutting-edge ideas in urban planning, to the battle against 21st-century terrorism. In 2010, he was chosen by Prospect magazine as one of the Top Ten Brains of the Digital Future.
His latest book, Where Good Ideas Come From: The Natural History of Innovation, was a finalist for the 800CEORead award for best business book of 2010, and was ranked as one of the year’s best books by The Economist. His book The Ghost Map was one of the ten best nonfiction books of 2006 according to Entertainment Weekly. His books have been translated into more than a dozen languages.
Steven has also co-created three influential web sites: the pioneering online magazine FEED, the Webby-Award-winning community site, Plastic.com, and most recently the hyperlocal media site outside.in, which was acquired by AOL in 2011. He serves on the advisory boards of a number of Internet-related companies, including Meetup.com, Betaworks, and Nerve.
Steven is a contributing editor to Wired magazine and is the 2009 Hearst New Media Professional-in-Residence at The Journalism School, Columbia University. He won the Newhouse School fourth annual Mirror Awards for his TIME magazine cover article titled "How Twitter Will Change the Way We Live." Steven has also written for The New York Times, The Wall Street Journal, The Nation, and many other periodicals. He has appeared on many high-profile television programs, including The Charlie Rose Show, The Daily Show with Jon Stewart, and The NewsHour with Jim Lehrer. He lectures widely on technological, scientific, and cultural issues. He blogs at stevenberlinjohnson.com and is @stevenbjohnson on Twitter. He lives in Marin County, California with his wife and three sons.
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Customers find the book engaging and thought-provoking. They appreciate the insightful and eye-opening insights it provides. Readers describe the book as timely and efficient, avoiding procrastination. However, some feel the stories are repetitive and boring at times.
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Customers appreciate the book's readability. They find it lively, enlightening, and well-structured. Readers also mention the prose is wonderful and the book merits their full attention. Overall, they describe it as an essential piece of literature for anyone interested in the subject.
"...It is a uniquely hopeful book - a message of tangible, practical hope for global citizens faced with seemingly insurmountable challenges of survival..." Read more
"As fluffy quasi-technical bestsellers go, this one was pretty good. Good enough, in fact, that after reading it I bought two additional copies which..." Read more
"There have been a number of interesting books in recent years on ideas, creativity, innovation and the forces that shape the progress of the human..." Read more
"...A great read for anyone interested in the subject." Read more
Customers find the book offers interesting ideas about ideas. They appreciate the clear definition of innovation and how it develops organizations. The concept of ideas as a network is powerful and makes them question their own habits and brainstorming. Readers say the book is informative and formative, with an active, creative mind.
"...It is a uniquely hopeful book - a message of tangible, practical hope for global citizens faced with seemingly insurmountable challenges of survival..." Read more
"...A small number of really good ideas about innovation, and many helpful examples. Cons: a little bit meta, a little bit strange...." Read more
"...title that sounds sort of warm and fuzzy, puts forth some interesting ideas about ideas, with quite a few meaty and entertaining anecdotes from wide..." Read more
"...In addition to these two fascinating and important concepts, the book discusses an array of other concepts that have proven to be a source of..." Read more
Customers find the book insightful and eye-opening. They say it helps them understand the benefits of serendipity, slow hunches, and openness. The book makes great parallels between dissimilar topics and wraps up each segment nicely. It helped stimulate discussion in graduate courses and is inspiring.
"...The book is well written and insightful. Highly recommended." Read more
"...In that way, it is an energizing experience to follow his flow of thought. By the end of the book, it is ironic (or is it?)..." Read more
"...It really gave me some perspective as someone who wishes to get into the tech industry...." Read more
"...The interwoven analogy and stories of Darwin and the coral reef was a mega bonus to keep me interested and visualizing standing on the shores...." Read more
Customers find the book efficient and helpful. They say it helps dissolve clots and avoid procrastination. However, some feel the author ran out of ideas later on.
"...This work is timely, a shape-shifter and contains, in my opinion, the type of thinking required for re-evaluating the current foundation, energy and..." Read more
"...why Internet search can actually enhance serendipity as well as be efficient...." Read more
"...It certainly helped me understand the benefits of serendipity, slow hunches, and openness with respect to innovations." Read more
"...work with ideas that will actually help you dissolve clots and avoid procrastination...." Read more
Customers find the book's story length repetitive and boring. They mention the research is impressive, but it drags the reader through a lot of uninteresting trivia. The book takes too long to get to the point, with too much data to wade through. Readers also mention the illustrations are not important to the book and are not very convincing.
"...The references and bibliography are textbook quality. Yes, the book may be too long - most books are. But who would buy a 20-page summary?..." Read more
"...Some of the stories seem repetitive. But easy to skim or skip without missing too much." Read more
"...some interesting ideas about ideas, with quite a few meaty and entertaining anecdotes from wide ranging sources...." Read more
"...Some repetition was irritating...." Read more
Top reviews from the United States
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- Reviewed in the United States on December 13, 2010This is THE BEST BOOK I read in 2010. PERIOD. I am pleased to recognize Steven Johnson's work, Where Good Ideas Come From - The Natural History of Innovation, (Riverhead Books - Published by The Penguin Group New York, NY Copyright © 2010 by Steven Johnson).
In an era when the U.S. requires some creative thinkers to point the way ahead, I urge you and yours to devour this work. This work is timely, a shape-shifter and contains, in my opinion, the type of thinking required for re-evaluating the current foundation, energy and trajectory applicable to individuals, organizations (BOTH public and private sector), entrepreneurs, diplomats, inventors, faith-based communities etc.
What's the thesis of this work? Listen to Steven Johnson:
"If there is a single maxim that runs through this book's arguments, it is that we are often better served by connecting ideas than we are by protecting them. Like the free market itself, the case for restricting the flow of innovation has long been buttressed by appeals to the "natural " order of things. But the truth is, when one looks at innovation in nature and in culture, environments that build walls around good ideas tend to be less innovative in the long run than more open-ended environments. Good ideas may not want to be free, but they do want to connect, fuse, recombine. They want to reinvent themselves by crossing conceptual borders. They want to complete each other as much as they want to compete." P.22 (emphasis is mine).
The U.S. has always been heralded as the global center for innovation, technological breakthroughs and the quality of a university system that attracts the finest minds from around the world. At present, the U.S. seems to be struggling with a paucity of good ideas and its infrastructure - that has historically produced global admiration (educational achievement, patents, new industries, technologies, strategic partnerships and economic prowess) - has been characterized by a myriad of measures as "in decline."
This book stirred my patriotic fervor, as well as my competitive and creative juices. It didn't just stir me up - it somehow rearranged some things for me - at a soul level. It is a uniquely hopeful book - a message of tangible, practical hope for global citizens faced with seemingly insurmountable challenges of survival and daily life.
As Johnson writes, Reading remains an unsurpassed vehicle for the transmission of interesting new ideas and perspectives. P.112
Thus, I am NOT going to litter this review with too many excerpts from Johnson's work that would encourage you to make a judgment that simply reading a review of it was somehow sufficient. Here's what happened to me after I read Where Good Ideas Come From - The Natural History of Innovation -- I immediately went out and devoured two of Johnson's previous, acclaimed works The Invention of Air and The Ghost Map.
From time to time, cultures produce thinkers whose ideas are simply essential, timely and (hopefully) infectious. These people and their ideas seem to rise up at times during certain historical epochs when they are desperately needed -- and may be deemed counter intuitive to the mainstream thinking that seems to be widely accepted.
As Johnson says in The Ghost Map: "The river of intellectual progress is not defined purely by the steady flow of good ideas begetting better ones; it follows the topography that has been carved out for it by external factors. Sometimes that topography throws up so many barricades that the river backs up for a while." P. 135
Where Good Ideas Come From - The Natural History of Innovation is a force that pierces the barricades that are currently preventing the natural flow of human ingenuity from proceeding as constructively and as freely as it might. This book is inhabited by the essential inertia that is fundamental to our present and our future - individually and collectively.
I can unequivocally declare this work to be The Best Book I read in 2010.
- Reviewed in the United States on October 6, 2015As fluffy quasi-technical bestsellers go, this one was pretty good. Good enough, in fact, that after reading it I bought two additional copies which I used as thank you gifts in a professional setting. Pros: lovely meditative writing style, with lots of nature imagery. A small number of really good ideas about innovation, and many helpful examples. Cons: a little bit meta, a little bit strange. Specifically, he also discusses his own technique for managing a database of quotes and ideas; then you realize that the work itself is based on this collection, which accounts for some portions of the book that are a bit thin or lacking in through line. Or maybe more deeply explicated than what the point is worth. For some readers this might actually be a positive, an inspiration, a fresh or original element. Because I lean to denser, more technical works (George Eliot, anyone? (; ), to me it's a disadvantage. One ought to do better at hiding the machinations. It would be either a good beach read, for a technical person, or a striking source of inspiration, for a more artsy one. If you don't want to get it and read it, you could settle for looking up 'the adjacent possible'.
- Reviewed in the United States on April 17, 2011There have been a number of interesting books in recent years on ideas, creativity, innovation and the forces that shape the progress of the human race, including The Rational Optimist by Matt Ridley and The Nature of Technology by W. Brian Arthur.
This book, despite a title that sounds sort of warm and fuzzy, puts forth some interesting ideas about ideas, with quite a few meaty and entertaining anecdotes from wide ranging sources. Johnson relates the fascinating history of many interesting ideas such as the World Wide Web, GPS, YouTube, the pacemaker, the air conditioner, the triode, the theory of island formation, the printing press, the nature of neural connections, the method of transmission of cholera and many others.
Johnson's definition of ideas is not limited to human ideas. He includes good ideas by chemical and biological actors through evolution in his definition.
While this may seem unusual, it is completely consistent with Johnson's view of progress. He begins with the notion of the "adjacent possible", which is the set of possibilities enabled by taking one step beyond the current state of things. The notion is that most ideas are variants on things that already exist. It is accumulations of these variations that comprise progress. This is consistent with biologist Francois Jacob's notion of evolution as a tinkerer, rather than an engineer. Johnson notes that there are exceptions. But even in the case of of revolutionary theories, there are often preconditions which set the stage for Darwin and Wallace to both discover evolution, or Newton and Leibniz to both invent calculus.
Following from this premise, what is needed to foster ideas is an environment which continually brings together existing concepts by being both sufficiently dense and fluid to create fruitful new combinations. This is why a coral reef is a fertile ecosystem, urban environments are hotbeds of cultural progress and the Internet fosters advances of all kinds at an unprecedented rate.
A couple of interesting examples of bringing together ideas from different areas are the application of the wine press to printing books by Gutenberg, and the application of the punch card, invented for mechanical looms, to data processing.
Johnson discusses the commonplace book, a type of scrapbook used by John Locke, Francis Bacon, John Milton, Joseph Preistley, Erazmus Darwin and Charles Darwin to not only save interesting ideas from different sources, but index them so as to bring loosely connected entries together in the author's mind. Johnson has implemented his own modern day commonplace book using a software tool called DevonThink.
The latter portion of the book is a discussion of individual vs network and market driven vs "open source" in the generation of inventions. He sees a historical shift over time from the individual, market driven inventor to the the networked, open source model of invention. In this argument, his is somewhat at odds with the views of Matt Ridley, whose Rational Optimist argues persuasively that trade and the market have always been the driving force behind progress and the evolution of ideas.
His arguments are largely consistent with the thesis of Arthur's The Nature of Technology, also excellent. Arthur is somewhat more narrowly focused but also compelling in his case for incremental progress.
Johnson also a large appendix which contains a chronicle of key innovations from 1400-2000 with a paragraph on each.
The book is well written and insightful. Highly recommended.
Top reviews from other countries
- MistyReviewed in Sweden on October 31, 2022
3.0 out of 5 stars Ok book
Kind of a slow read
- FelipeReviewed in Brazil on February 19, 2019
5.0 out of 5 stars My notes:
There are many ways to measure innovation, but perhaps the most elemental yardstick, at least where technology is concerned, revolves around the job that the technology in question lets you do. All other things being equal, a breakthrough that lets you execute two jobs that were impossible before is twice as innovative as a breakthrough that lets you do only one new thing.
If we want to understand where good ideas come from, we have to put them in context. Darwin’s world-changing idea unfolded inside his brain, but think of all the environments and tools he needed to piece it together: a ship, an archipelago, a notebook, a library, a coral reef. Our thought shapes the spaces we inhabit, and our spaces return the favor. The argument of this book is that a series of shared properties and patterns recur again and again in unusually fertile environments.
In the language of complexity theory, these patterns of innovation and creativity are fractal: they reappear in recognizable form as you zoom in and out, from molecule to neuron to pixel to sidewalk.
Traveling across these different environments and scales is not merely intellectual tourism. Science long ago realized that we can understand something better by studying its behavior in different contexts.
Analyzing innovation on the scale of individuals and organizations—as the standard textbooks do—distorts our view. It creates a picture of innovation that overstates the role of proprietary research and “survival of the fittest” competition. The long-zoom approach lets us see that openness and connectivity may, in the end, be more valuable to innovation than purely competitive mechanisms
Good ideas are like the NeoNurture device. They are, inevitably, constrained by the parts and skills that surround them. We have a natural tendency to romanticize breakthrough innovations, imagining momentous ideas transcending their surroundings, a gifted mind somehow seeing over the detritus of old ideas and ossified tradition. But ideas are works of bricolage; they’re built out of that detritus. We take the ideas we’ve inherited or that we’ve stumbled across, and we jigger them together into some new shape.
The strange and beautiful truth about the adjacent possible is that its boundaries grow as you explore those boundaries. Each new combination ushers new combinations into the adjacent possible. Think of it as a house that magically expands with each door you open. You begin in a room with four doors, each leading to a new room that you haven’t visited yet. Those four rooms are the adjacent possible. But once you open one of those doors and stroll into that room, three new doors appear, each leading to a brand-new room that you couldn’t have reached from your original starting point. Keep opening new doors and eventually you’ll have built a palace.
In the early 1920s, two Columbia University scholars named William Ogburn and Dorothy Thomas decided to track down as many multiples as they could find, eventually publishing their survey in an influential essay with the delightful title “Are Inventions Inevitable?” Ogburn and Thomas found 148 instances of independent innovation, most them occurring within the same decade.
Unlocking a new door can lead to a world-changing scientific breakthrough, but it can also lead to a more effective strategy for teaching second-graders, or a novel marketing idea for the vacuum cleaner your company’s about to release. The trick is to figure out ways to explore the edges of possibility that surround you. This can be as simple as changing the physical environment you work in, or cultivating a specific kind of social network, or maintaining certain habits in the way you seek out and store information.
Recall the question we began with: What kind of environment creates good ideas? The simplest way to answer it is this: innovative environments are better at helping their inhabitants explore the adjacent possible, because they expose a wide and diverse sample of spare parts—mechanical or conceptual—and they encourage novel ways of recombining those parts. Environments that block or limit those new combinations—by punishing experimentation, by obscuring certain branches of possibility, by making the current state so satisfying that no one bothers to explore the edges—will, on average, generate and circulate fewer innovations than environments that encourage exploration.
In a way, the engineers at Mission Control had it easier than most. Challenging problems don’t usually define their adjacent possible in such a clear, tangible way. Part of coming up with a good idea is discovering what those spare parts are, and ensuring that you’re not just recycling the same old ingredients.
A good idea is a network. A specific constellation of neurons—thousands of them—fire in sync with each other for the first time in your brain, and an idea pops into your consciousness. A new idea is a network of cells exploring the adjacent possible of connections that they can make in your mind.
Most theories of life’s origins incorporate some variation of the “primordial soup”: an environment where novel combinations could occur thanks to the swirl and flow of liquid. Carbon may be a talented connector, but without a medium that allows it to collide randomly with other elements, those connective powers are likely to go to waste. All those spectacular polymer chains would remain unrealized, hidden behind the locked doors of the adjacent possible.
With a science like molecular biology, we inevitably have an image in our heads of the scientist alone in the lab, hunched over a microscope, and stumbling across a major new finding. But Dunbar’s study showed that those isolated eureka moments were rarities. Instead, most important ideas emerged during regular lab meetings, where a dozen or so researchers would gather and informally present and discuss their latest work.
But the Phoenix memo might well have been instrumental in stopping the attacks had it followed a pattern that recurs throughout the history of world-changing ideas. It was a hunch that needed to collide with another hunch.
A metropolis shares one key characteristic with the Web: both environments are dense, liquid networks where information easily flows along multiple unpredictable paths. Those interconnections nurture great ideas, because most great ideas come into the world half-baked, more hunch than revelation.
Hunches that don’t connect are doomed to stay hunches.
Because these slow hunches need so much time to develop, they are fragile creatures, easily lost to the more pressing needs of day-to-day issues.
But if one examines the intellectual fossil record closely, the slow hunch is the rule, not the exception.
It is simply hard to pinpoint exactly when Darwin had the idea, because the idea didn’t arrive in a flash; it drifted into his consciousness over time, in waves. In the months before the Malthus reading, we could probably say that Darwin had the idea of natural selection in his head, but at the same time was incapable of fully thinking it. This is how slow hunches often mature: by stealth, in small steps. They fade into view.
Keeping a slow hunch alive poses challenges on multiple scales. For starters, you have to preserve the hunch in your own memory, in the dense network of your neurons. Most slow hunches never last long enough to turn into something useful, because they pass in and out of our memory too quickly, precisely because they possess a certain murkiness. You get a feeling that there’s an interesting avenue to explore, a problem that might someday lead you to a solution, but then you get distracted by more pressing matters and the hunch disappears. So part of the secret of hunch cultivation is simple: write everything down.
We can see Darwin’s ideas evolve because on some basic level the notebook platform creates a cultivating space for his hunches; it is not that the notebook is a mere transcription of the ideas, which are happening offstage somewhere in Darwin’s mind. Darwin was constantly rereading his notes, discovering new implications. His ideas emerge as a kind of duet between the present-tense thinking brain and all those past observations recorded on paper.
The work of dreams turns out to be a particularly chaotic, yet productive, way of exploring the adjacent possible. In a sense, dreams are the mind’s primordial soup: the medium that facilitates the serendipitous collisions of creative insight. And hunches are like those early carbon atoms, seeking out new kinds of connections to help them build new chains and rings of innovation.
Serendipity needs unlikely collisions and discoveries, but it also needs something to anchor those discoveries. Otherwise, your ideas are like carbon atoms randomly colliding with other atoms in the primordial soup without ever forming the rings and lattices of organic life.
“The errors of the great mind exceed in number those of the less vigorous one.”
error is not simply a phase you have to suffer through on the way to genius. Error often creates a path that leads you out of your comfortable assumptions.
Being right keeps you in place. Being wrong forces you to explore.
Paradigm shifts, in Kuhn’s argument, begin with anomalies in the data, when scientists find that their predictions keep turning out to be wrong.
When we’re wrong, we have to challenge our assumptions, adopt new strategies. Being wrong on its own doesn’t unlock new doors in the adjacent possible, but it does force us to look for them.
big cities nurture subcultures much more effectively than suburbs or small towns.
Lifestyles or interests that deviate from the mainstream need critical mass to survive; they atrophy in smaller communities not because those communities are more repressive, but rather because the odds of finding like-minded people are much lower with a smaller pool of individuals.
The cultural diversity those subcultures create is valuable not just because it makes urban life less boring. The value also lies in the unlikely migrations that happen between the different clusters. A world where a diverse mix of distinct professions and passions overlap is a world where exaptations thrive.
Legendary innovators like Franklin, Snow, and Darwin all possess some common intellectual qualities—a certain quickness of mind, unbounded curiosity—but they also share one other defining attribute. They have a lot of hobbies.
In a real sense, for Snow to make his great breakthrough in understanding cholera, he had to think like a molecular chemist and like a physician. As a slow multitasker, he had those interpretative systems readily available to him when his focus turned to the mystery of cholera. As we saw with the feathers of Archaeopteryx, Snow couldn’t have anticipated that his mechanical tinkering with chloroform inhalers would prove useful in ridding the modern world of a deadly bacterium, but that is the unpredictable power of exaptations. Chance favors the connected mind.
This is a wonder which does not at first strike the eye of the body, but, after reflection, the eye of reason.”
The platform builders and ecosystem engineers do not just open a door in the adjacent possible. They build an entire new floor.
Ideas rise in crowds, as Poincaré said. They rise in liquid networks where connection is valued more than protection.
The patterns are simple, but followed together, they make for a whole that is wiser than the sum of its parts. Go for a walk; cultivate hunches; write everything down, but keep your folders messy; embrace serendipity; make generative mistakes; take on multiple hobbies; frequent coffeehouses and other liquid networks; follow the links; let others build on your ideas; borrow, recycle, reinvent. Build a tangled bank.
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Damien HartmannReviewed in France on May 29, 2017
5.0 out of 5 stars Une perspective éclairante sur la génération des innovations
L'innovation est au coeur des discours actuels dans tous les domaines : économie, sport, loisirs, développement personnel... Cet essai très bien écrit propose une histoire de la génération d'innovation qui ont transformé le monde, et à travers cela une analyse sur les facteurs clés qui contribuent à leur apparition et à leur développement. J'y vois un excellent plaidoyer en faveur du partage des connaissances et de l'open source, qui conforte mon enthousiasme pour ces domaines. Une lecture à mettre entre toutes les mains, pour contribuer à améliorer le monde !
- Rheymond T.Reviewed in Japan on April 26, 2022
5.0 out of 5 stars Good
Good
- Chris Mc.Reviewed in Canada on November 10, 2015
5.0 out of 5 stars Really good read with interesting facts about ideas and the thought ...
I read this book from the library originally and had to buy it so I could have a copy always on hand. Really good read with interesting facts about ideas and the thought process.