The most important events in history are the ones nobody saw coming. The Great Depression, World War II, the collapse of the Soviet Union, 9/11, the 2008 financial crisis, COVID-19ânone were predicted by the experts. Yet we continue to use history as a guide to the future.
History can teach us principles, but it canât tell us what will happen next. The future will surprise us.
Nobel Prize-winning psychologist Daniel Kahneman once said: âThe correct lesson to learn from surprises is that the world is surprising.â
We tend to learn the wrong lesson: we think we now understand why the surprise happened and can predict the next one. But the nature of surprises is that theyâre unpredictable.
Economists and investors love historical data. But consider the limitations:
Using this data to predict the next 50 years is like using a teenagerâs life to predict their entire adulthood.
The economy of 2024 is fundamentally different from the economy of 1924. Consider:
Then: Manufacturing dominated, few regulations, no social safety net, different demographics
Now: Service economy, global markets, 401(k)s, venture capital, technology companies
How much can we really learn from historical periods that look nothing like today?
Even personal experience has limits. If youâre 40, your meaningful experience with money spans maybe 20 years. During that time, youâve seen perhaps two recessions, one or two bubbles, and a handful of major economic events.
Thatâs your entire sample size for understanding how the financial world works. Itâs not nearly enough.
History is more useful for learning about human behavior than for predicting specific events:
But it canât tell you when the next crisis will hit or what form it will take.
If the most important events are unpredictable, whatâs the point of forecasting? Housel suggests we should focus less on predicting specific outcomes and more on being prepared for a wide range of possibilities.
Be wary of anyone who speaks with confidence about what will happen in markets or the economy. The track record of expert predictions is poor. Those who sound most confident often turn out to be the most wrong.
Instead of trying to predict surprises, build a strategy that survives them: