Proposition 5: Truth Is Not Enough to Stop False Narratives Suddenly prominent economic narratives sometimes appear mysteriously and for no apparent reason. One such narrative occurred after the 2007–9 world financial crisis, when near-zero interest rates were interpreted as a harbinger of a “lost decade,” as they had been for Japan in the 1990s. The Japanese “lost decades” story is just one example, just one observation and hence of no statistical significance, but it was contagious enough around the world to rekindle Great Depression narratives, and it launched serious fears about “secular stagnation.” Indeed, such narratives and fears can have serious effects on the economy and our lives. For example, according to political scientist Stephen Van Evera (1984), World War I started at least partly because a false narrative, which he calls “the Cult of the Offensive,” went viral. This narrative was a theory that the country that moves first to attack another country will generally have the advantage. The idea was supported by some historical narratives and illustrated by simplistic psychological, mathematical, and bandwagon arguments. Ultimately, Van Evera argues, this theory led to instability: everyone wanted to attack first. Germany thought it had a “window of opportunity” to successfully pursue a “preventive war” against Russia. But the narrative was wrong. It had economic consequences—a huge arms race—and resulted in a war that was disastrous for both the offense and the defense. Norman Angell called the narrative “The Great Illusion” in a 1911 book with that title. Angell’s ideas were convincing to many (and he later won the Nobel Peace Prize for his work), but they did not go viral fast enough to prevent the war. The illusion won out even after it had been decisively disproven, because the proof did not spread as fast as the illusion did. By analogy, we see that economic activities are not always based on up-to- date information. Sometimes they are based on whatever narratives are going viral at a particular time. While general knowledge steadily advances in many respects, we do not necessarily see a steady progression in the knowledge that often importantly affects economic behavior. The narratives that surround and define Bitcoin provide an example. There are brilliant computer scientists who are fascinated by cryptocurrencies but who won’t say whether the captivating ideas that generate public excitement are ultimately right or wrong. Fortunately, in matters of simple fact, unencumbered by any human interest or story quality, modern society stays generally on target, or at least willing to stand corrected if in error. For example, most people can name the various highways around their home correctly and will accept correction if an error is pointed out to them. They also routinely trust medical doctors to tell them the truth about things they know nothing about. Well, sort of, anyway. In a 2003 study, the World Health Organization concluded, “Poor adherence to treatment of chronic diseases is a worldwide problem of striking magnitude.”7 The WHO went on to report that only about 50% of patients in developed countries consistently follow doctor’s orders for chronic illnesses, and even fewer do so in emerging countries. Adherence is probably even worse when it comes to following advice from more controversial economic pundits or financial planners. But where does advice end and speculation begin? And how do we distinguish informed speculation from confabulation or fiction? The slope is slippery. Ultimately, a story’s contagion rate is unaffected by its underlying truth. A contagious story is one that quickly grabs the attention of and makes an impression on another person, whether that story is true or not. A study by Soroush Vosoughi and his coauthors published in Science in 2018 used social media data to compare the contagion rates of true stories with the contagion rates of false stories.8 The researchers chose the stories from among those that had been vetted by six fact-checking websites: snopes. com, politifact.  com, factcheck.org, truthorfiction. com, hoax-slayer. com, and urbanlegends.about. com. They found 95–98% agreement across these sites as to a story’s truth or falsity. They also looked at 126,000 rumors spread by three million people, and they found that false stories had six times the retweeting rate on Twitter as true stories. The researchers did not interpret that finding as specific to Twitter, and the result may be specific to the time of the study, a time when mistrust of conventional media sources was higher than usual. Rather, these authors interpreted their results as confirming that people are “more likely to share novel information.” In other words, contagion reflects the urge to titillate and surprise others. We can add another twist to that conclusion: a new story correcting a false story may not be as contagious as the false story, which means that the false narrative may have a major impact on economic activity long after it is corrected.