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Until recently, I was an ebook sceptic, see; one of those people who harrumphs about the “physical pleasure of turning actual pages” and how ebook will “never replace the real thing”. Then I was given a Kindle as a present. That shut me up. Stock complaints about the inherent pleasure of ye olde format are bandied about whenever some new upstart invention comes along. Each moan is nothing more than a little foetus of nostalgia jerking in your gut. First they said CDs were no match for vinyl. Then they said MP3s were no match for CDs. Now they say streaming music services are no match for MP3s. They’re only happy looking in the rear-view mirror.

It may be worth while to illustrate this view of classification, by taking the case of languages. If we possessed a perfect pedigree of mankind, a genealogical arrangement of the races of man would afford the best classification of the various languages now spoken throughout the world; and if all extinct languages, and all intermediate and slowly changing dialects, were to be included, such an arrangement would be the only possible one. Yet it might be that some ancient languages had altered very little and had given rise to few new languages, whilst others had altered much owing to the spreading, isolation, and state of civilisation of the several co-descended races, and had thus given rise to many new dialects and languages. The various degrees of difference between the languages of the same stock, would have to be expressed by groups subordinate to groups; but the proper or even the only possible arrangement would still be genealogical; and this would be strictly natural, as it would connect together all languages, extinct and recent, by the closest affinities, and would give the filiation and origin of each tongue.

The reasonable man adapts himself to the world; the unreasonable one persists in trying to adapt the world to himself. Therefore all progress depends on the unreasonable man.” George Bernard Shaw On a cool fall evening in 2008, four students set out to revolutionize an industry. Buried in loans, they had lost and broken eyeglasses and were outraged at how much it cost to replace them. One of them had been wearing the same damaged pair for five years: He was using a paper clip to bind the frames together. Even after his prescription changed twice, he refused to pay for pricey new lenses. Luxottica, the 800-pound gorilla of the industry, controlled more than 80 percent of the eyewear market. To make glasses more affordable, the students would need to topple a giant. Having recently watched Zappos transform footwear by selling shoes online, they wondered if they could do the same with eyewear. When they casually mentioned their idea to friends, time and again they were blasted with scorching criticism. No one would ever buy glasses over the internet, their friends insisted. People had to try them on first. Sure, Zappos had pulled the concept off with shoes, but there was a reason it hadn’t happened with eyewear. “If this were a good idea,” they heard repeatedly, “someone would have done it already.” None of the students had a background in e-commerce and technology, let alone in retail, fashion, or apparel. Despite being told their idea was crazy, they walked away from lucrative job offers to start a company. They would sell eyeglasses that normally cost $500 in a store for $95 online, donating a pair to someone in the developing world with every purchase. The business depended on a functioning website. Without one, it would be impossible for customers to view or buy their products. After scrambling to pull a website together, they finally managed to get it online at 4 A.M. on the day before the launch in February 2010. They called the company Warby Parker, combining the names of two characters created by the novelist Jack Kerouac, who inspired them to break free from the shackles of social pressure and embark on their adventure. They admired his rebellious spirit, infusing it into their culture. And it paid off. The students expected to sell a pair or two of glasses per day. But when GQ called them “the Netflix of eyewear,” they hit their target for the entire first year in less than a month, selling out so fast that they had to put twenty thousand customers on a waiting list. It took them nine months to stock enough inventory to meet the demand. Fast forward to 2015, when Fast Company released a list of the world’s most innovative companies. Warby Parker didn’t just make the list—they came in first. The three previous winners were creative giants Google, Nike, and Apple, all with over fifty thousand employees. Warby Parker’s scrappy startup, a new kid on the block, had a staff of just five hundred. In the span of five years, the four friends built one of the most fashionable brands on the planet and donated over a million pairs of glasses to people in need. The company cleared $100 million in annual revenues and was valued at over $1 billion. Back in 2009, one of the founders pitched the company to me, offering me the chance to invest in Warby Parker. I declined. It was the worst financial decision I’ve ever made, and I needed to understand where I went wrong.

My wife has a sweet tooth but is also very health conscious. Over more than two decades, she has followed a simple yet powerful way of avoiding the enticement of desserts. Our fridge just doesn’t have any. In my view, the best way to avoid investing in bad businesses is to ignore them and their stock prices. We never discuss what we consider bad companies or industries in our team meetings. Never. It doesn’t matter if an airline has declared spectacular results recently or if every analyst recommends buying airline shares. We are indifferent to a public sector bank that has hired a new CEO from the private sector and has pushed its stock price to an all-time high. We ignore an infrastructure business that has been awarded a new multibillion-dollar contract and a gold loan business that has announced 30 percent ROE in its latest quarterly result and is touted by the bulls to be the next billion-dollar opportunity. No one on our team is allowed to utter the famous last words of many investors: “This time, it’s different.” If we never discuss a business, how will we ever buy it? No sweets in the fridge: no snacking possible.

Groupon is a study of the hazards of pursuing scale and valuation at all costs. In 2010, Forbes called it the “fastest growing company ever” after its founders raised $135 million in funding, giving Groupon a valuation of more than $1 billion after just 17 months.5 The company turned down a $6 billion acquisition offer from Google and went public in 2011 with one of the biggest IPOs since Google’s in 2004.6 It was one of the original unicorns. However, the business model had serious problems. Groupon sometimes sold so many Daily Deals that participating businesses were overwhelmed . . . even crippled. Other businesses accused Groupon of strong-arming them to sign up for Daily Deals. Customers started to view the group discount (the company’s bread and butter) as a sign that a participating business was desperate. Businesses stopped signing up. Journalists suggested that Groupon was prioritizing customer acquisition over retention — growth over value — and that it had gone public before it had a solid, proven business model.7 Groupon is still a player, with just over $3 billion in annual revenue in 2015. But its stock has fallen from $26 a share to about $4 today, and it has withdrawn from many international markets. Also revealing is that the company is suing IBM for patent infringement, something that will not create customer value.8 Many promising startups have paid the price for rushing to scale. We can see clues to potential future failures in the recent “down rounds” (stock purchases priced at a lower valuation than those of previous investors) hitting companies like Foursquare, Gilt Group, Jet, Jawbone, and Technorati. In their rush to build scale, executives and founders search for shortcuts to sustainable, long-term revenue growth.

The Bayesian Invisible Hand … free-market capitalism and Bayes’ theorem come out of something of the same intellectual tradition. Adam Smith and Thomas Bayes were contemporaries, and both were educated in Scotland and were heavily influenced by the philosopher David Hume. Smith’s 'Invisible hand' might be thought of as a Bayesian process, in which prices are gradually updated in response to changes in supply and demand, eventually reaching some equilibrium. Or, Bayesian reasoning might be thought of as an 'invisible hand' wherein we gradually update and improve our beliefs as we debate our ideas, sometimes placing bets on them when we can’t agree. Both are consensus-seeking processes that take advantage of the wisdom of crowds. It might follow, then, that markets are an especially good way to make predictions. That’s really what the stock market is: a series of predictions about the future earnings and dividends of a company. My view is that this notion is 'mostly' right 'most' of the time. I advocate the use of betting markets for forecasting economic variables like GDP, for instance. One might expect these markets to improve predictions for the simple reason that they force us to put our money where our mouth is, and create an incentive for our forecasts to be accurate. Another viewpoint, the efficient-market hypothesis, makes this point much more forcefully: it holds that it is 'impossible' under certain conditions to outpredict markets. This view, which was the orthodoxy in economics departments for several decades, has become unpopular given the recent bubbles and busts in the market, some of which seemed predictable after the fact. But, the theory is more robust than you might think. And yet, a central premise of this book is that we must accept the fallibility of our judgment if we want to come to more accurate predictions. To the extent that markets are reflections of our collective judgment, they are fallible too. In fact, a market that makes perfect predictions is a logical impossibility.

Research and development conducted by private companies in the United States has grown enormously over the past four decades. We have substantially replaced the publicly funded science that drove our growth after World War II with private research efforts. Such private R&D has shown some impressive results, including high average returns for the corporate sector. However, despite their enormous impact, these private R&D investments are much too small from a broader perspective. This is not a criticism of any individuals; rather, it is simply a feature of the system. Private companies do not capture the spillovers that their R&D efforts create for other corporations, so private sector executives in established firms underinvest in invention. The venture capital industry, which provides admirable support to some start-ups, is focused on fast-impact industries, such as information technology, and not generally on longer-run and capital-intensive investments like clean energy or new cell and gene therapies. Leading entrepreneur-philanthropists get this. In recent years, there have been impressive investments in science funded by publicly minded individuals, including Eric Schmidt, Elon Musk, Paul Allen, Bill and Melinda Gates, Mark Zuckerberg, Michael Bloomberg, Jon Meade Huntsman Sr., Eli and Edythe Broad, David H. Koch, Laurene Powell Jobs, and others (including numerous private foundations). The good news is that these people, with a wide variety of political views on other matters, share the assessment that science—including basic research—is of fundamental importance for the future of the United States. The less good news is that even the wealthiest people on the planet can barely move the needle relative to what the United States previously invested in science. America is, roughly speaking, a $20 trillion economy; 2 percent of our GDP is nearly $400 billion per year. Even the richest person in the world has a total stock of wealth of only around $100 billion—a mark broken in early 2018 by Jeff Bezos of Amazon, with Bill Gates and Warren Buffett in close pursuit. If the richest Americans put much of their wealth immediately into science, it would have some impact for a few years, but over the longer run, this would hardly move the needle. Publicly funded investment in research and development is the only “approach that could potentially return us to the days when technology-led growth lifted all boats. However, we should be careful. Private failure is not enough to justify government intervention. Just because the private sector is underinvesting does not necessarily imply that the government will make the right investments.

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