The language commonly used to describe speculative manias is borrowed from epidemiology. A new technology sparks a “contagion”, investors are “infected” with greed and speculative “fever” breaks out. Today, the world is faced with another epidemic. Our response to the coronavirus pandemic resembles the inverse of a speculative mania, with fear replacing greed, and errors of pessimism potentially replacing those of optimism.
The coronavirus panic has a familiar ring. Friends and contacts have taken to forwarding articles by an alarmist Covid-19 commentator (not a professional epidemiologist) who claims that his article is the only thing you’ll ever need to read and will save lives. It’s impossible to say whether this advice is sound or not. But it certainly feels like the pandemic mirror image to the Wall Street pied pipers who loudly played their tunes during the internet bubble.
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Trust the experts, we are told: follow the data and science. If only it were that simple. During the internet and real-estate bubbles, financial experts were wrong. A top hedge-fund manager once complained to me that “every bubble has an academic shill”. Epidemiology, like finance, is as much an art as science. A colleague and I once gathered data on every bubble we could find. Each one turned out to be different. Epidemiologists face the same problem – as they like to joke, “if you’ve seen one pandemic, you’ve seen… one pandemic”.
Both investors and epidemiologists face chronic uncertainty. During an epidemic, the data is always changing. Differences in climate and social behaviour affect the spread of disease across geographies. This poses huge challenges when trying to model a pandemic. Epidemiologists, like investment strategists, are prone to egregious forecasting errors. In September 2014, the Centers for Disease Control and Prevention forecast 1.4 million cases of Ebola in West Africa by the following January. In the end, this epidemic produced fewer than 30,000 reported cases.
The true infection rate of Covid-19 is unknown, as outside of South Korea testing has been inadequate and no antibody test is yet available. China can’t be trusted to provide accurate data. As for the fatality rate, Italians are recording deaths due to Covid-19 when other conditions may be prevalent. Last week Imperial College predicted more than two million would die in the US and half a million in the UK if Covid-19 was not suppressed. These forecasts persuaded the US and UK governments to take drastic action.
Yet the assumptions in Imperial’s model – the reproduction rate, fatality rate, etc. – are at best educated guesses. Even Imperial admits what it calls “conservative” assumptions are pessimistic. Such pessimism, or call it excessive caution, appears to be the institutional bias of epidemiologists, just as finance types are prone to hyper-optimism.
A few dissenting voices can be heard. Stanford University epidemiologist John Ioannidis claims that analysis of the outbreak on the Diamond Princess cruise ship suggests the virus is much less of a danger to life than commonly assumed. Also drawing on the cruise experience, Michael Levitt, the Stanford biophysicist and Nobel laureate, makes a similar point. “What we need to control is the panic...,” Levitt told the Los Angeles Times, “we’re going to be fine.”
This calls to mind Franklin D. Roosevelt’s words to the American people in his address at the depth of the Great Depression in 1933: “the only thing we have to fear is… fear itself – nameless, unreasoning, unjustified terror which paralyses needed efforts to convert retreat into advance”. When the history of this pandemic is written, it may become a postscript to the ever-expanding volume, Extraordinary Popular Delusions and the Madness of Crowds first published in 1841.
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