OUR INDEFINITELY OPTIMISTIC WORLD

Indefinite Finance While a definitely optimistic future would need engineers to design underwater cities and settlements in space, an indefinitely optimistic future calls for more bankers and lawyers. Finance epitomizes indefinite thinking because it’s the only way to make money when you have no idea how to create wealth. If they don’t go to law school, bright college graduates head to Wall Street precisely because they have no real plan for their careers. And once they arrive at Goldman, they find that even inside finance, everything is indefinite. It’s still optimistic—you wouldn’t play in the markets if you expected to lose—but the fundamental tenet is that the market is random; you can’t know anything specific or substantive; diversification becomes supremely important. The indefiniteness of finance can be bizarre. Think about what happens when successful entrepreneurs sell their company. What do they do with the money? In a financialized world, it unfolds like this: • The founders don’t know what to do with it, so they give it to a large bank. • The bankers don’t know what to do with it, so they diversify by spreading it across a portfolio of institutional investors. • Institutional investors don’t know what to do with their managed capital, so they diversify by amassing a portfolio of stocks. • Companies try to increase their share price by generating free cash flows. If they do, they issue dividends or buy back shares and the cycle repeats. At no point does anyone in the chain know what to do with money in the real economy. But in an indefinite world, people actually prefer unlimited optionality; money is more valuable than anything you could possibly do with it. Only in a definite future is money a means to an end, not the end itself.
Indefinite Politics Politicians have always been officially accountable to the public at election time, but today they are attuned to what the public thinks at every moment. Modern polling enables politicians to tailor their image to match preexisting public opinion exactly, so for the most part, they do. Nate Silver’s election predictions are remarkably accurate, but even more remarkable is how big a story they become every four years. We are more fascinated today by statistical predictions of what the country will be thinking in a few weeks’ time than by visionary predictions of what the country will look like 10 or 20 years from now. And it’s not just the electoral process—the very character of government has become indefinite, too. The government used to be able to coordinate complex solutions to problems like atomic weaponry and lunar exploration. But today, after 40 years of indefinite creep, the government mainly just provides insurance; our solutions to big problems are Medicare, Social Security, and a dizzying array of other transfer payment programs. It’s no surprise that entitlement spending has eclipsed discretionary spending every year since 1975. To increase discretionary spending we’d need definite plans to solve specific problems. But according to the indefinite logic of entitlement spending, we can
make things better just by sending out more checks.
Indefinite Philosophy You can see the shift to an indefinite attitude not just in politics but in the political philosophers whose ideas underpin both left and right. The philosophy of the ancient world was pessimistic: Plato, Aristotle, Epicurus, and Lucretius all accepted strict limits on human potential. The only question was how best to cope with our tragic fate. Modern philosophers have been mostly optimistic. From Herbert Spencer on the right and Hegel in the center to Marx on the left, the 19th century shared a belief in progress. (Remember Marx and Engels’s encomium to the technological triumphs of capitalism from this page.) These thinkers expected material advances to fundamentally change human life for the better: they were definite optimists. In the late 20th century, indefinite philosophies came to the fore. The two dominant political thinkers, John Rawls and Robert Nozick, are usually seen as stark opposites: on the egalitarian left, Rawls was concerned with questions of fairness and distribution; on the libertarian right, Nozick focused on maximizing individual freedom. They both believed that people could get along with each other peacefully, so unlike the ancients, they were optimistic. But unlike Spencer or Marx, Rawls and Nozick were indefinite optimists: they didn’t have any specific vision of the future.
Their indefiniteness took different forms. Rawls begins A Theory of Justice with the famous “veil of ignorance”: fair political reasoning is supposed to be impossible for anyone with knowledge of the world as it concretely exists. Instead of trying to change our actual world of unique people and real technologies, Rawls fantasized about an “inherently stable” society with lots of fairness but little dynamism. Nozick opposed Rawls’s “patterned” concept of justice. To Nozick, any voluntary exchange must be allowed, and no social pattern could be noble enough to justify maintenance by
coercion. He didn’t have any more concrete ideas about the good society than Rawls: both of them focused on process. Today, we exaggerate the differences between left-liberal egalitarianism and libertarian individualism because almost everyone shares their common indefinite attitude. In philosophy, politics, and business, too, arguing over process has become a way to endlessly defer making concrete plans for a better future.
Indefinite Life Our ancestors sought to understand and extend the human lifespan. In the 16th century, conquistadors searched the jungles of Florida for a Fountain of Youth. Francis Bacon wrote that “the prolongation of life” should be considered its own branch of medicine—and the noblest. In the 1660s, Robert Boyle placed life extension (along with “the Recovery of Youth”) atop his famous wish list for the future of science. Whether through geographic exploration or laboratory research, the best minds of the Renaissance thought of death as something to defeat. (Some resisters were killed in action: Bacon caught pneumonia and died in 1626 while experimenting to see if he could extend a chicken’s life by freezing it in the snow.) We haven’t yet uncovered the secrets of life, but insurers and statisticians in the 19th century successfully revealed a secret about death that still governs our thinking today: they discovered how to reduce it to a mathematical probability. “Life tables” tell us our chances of dying in any given year, something previous generations didn’t know. However, in exchange for better insurance contracts, we seem to have given up the search for secrets about longevity. Systematic knowledge of the current range of human lifespans has made that range seem natural. Today our society is permeated by the twin ideas that death is both inevitable and random. Meanwhile, probabilistic attitudes have come to shape the agenda of biology itself. In 1928, Scottish scientist Alexander Fleming found that a mysterious antibacterial fungus had grown on a petri dish he’d forgotten to cover in his laboratory: he discovered penicillin by accident. Scientists have sought to harness the power of chance ever since. Modern drug discovery aims to amplify Fleming’s serendipitous circumstances a millionfold: pharmaceutical companies search through combinations of molecular compounds at random, hoping to find a hit. But it’s not working as well as it used to. Despite dramatic advances over the past two centuries, in recent decades biotechnology hasn’t met the expectations of investors—or patients. Eroom’s law— that’s Moore’s law backward—observes that the number of new drugs approved per billion dollars spent on R&D has halved every nine years since 1950. Since information technology accelerated faster than ever during those same years, the big question for biotech today is whether it will ever see similar progress. Compare biotech startups to their counterparts in computer software:


Biotech startups are an extreme example of indefinite thinking. Researchers experiment with things 
that just might work instead of refining definite theories about how the body’s systems operate. Biologists say they need to work this way because the underlying biology is hard. According to them, IT startups work because we created computers ourselves and designed them to reliably obey our commands. Biotech is difficult because we didn’t design our bodies, and the more we learn about them, the more complex they turn out to be. But today it’s possible to wonder whether the genuine difficulty of biology has become an excuse for biotech startups’ indefinite approach to business in general. Most of the people involved expect some things to work eventually, but few want to commit to a specific company with the level of intensity necessary for success. It starts with the professors who often become part-time consultants instead of full-time employees—even for the biotech startups that begin from their own research. Then everyone else imitates the professors’ indefinite attitude. It’s easy for libertarians to claim that heavy regulation holds biotech back—and it does—but indefinite optimism may pose an even greater challenge for the future of biotech.

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