Nature of Economic Science
Economics is a social science using deductive reasoning from axioms about human behavior, similar to geometry, rather than laboratory testing like physics or chemistry, making it fundamentally different from hard sciences.
The Mises-Rothbard Austrian school views economics as praxeology (logic of action), where statements like “people respond to incentives” are not falsifiable but follow from the definition of choice itself, providing a framework for interpreting human action.
Core economic concepts like opportunity cost, incentives, prices, money, and policy constraints don’t depend on forecasting exact timing of events like crashes, but reveal objective marketplace regularities that authorities must consider.
Limitations of Mathematical Models
Mathematical models in economics are overrated and create false precision, as demonstrated by the 2008 financial crisis where economists with sophisticated models failed to predict the global financial crisis.
Frederick Michal’s summer 2007 computer simulations failed to predict the September 2008 crisis because they assumed a smooth economy without financial crisis, comparable to certifying the Hindenburg flight as safe while ignoring combustion risk.
Efficient Markets and Prediction Paradox
Eugene Fama’s efficient markets hypothesis (EMH) states that asset prices reflect all relevant, generally available information, meaning any reliable forecast formula would already be priced in and thus invalid.
If most informed traders on Wall Street were certain a crash would happen next month, they would get out early, causing the crash to occur sooner, demonstrating the self-defeating nature of public predictions.
When a pattern in stock market data is discovered and traders profit from it, the arbitrage opportunity quickly disappears as more people trade on it, pushing prices to eliminate the advantage.
Austrian Business Cycle Theory
Austrian economists argue the 2008 crisis was caused by the Fed and commercial banks pumping artificial credit into the system, pushing interest rates to artificially low levels, which fueled the housing bubble.
Economic models can predict the likelihood of downturns but not the timing of specific events, similar to quantum physics predicting statistical distribution of photons through slits rather than each photon’s exact path.
Forecasting Track Record
Mark Thornton and Peter Schiff accurately predicted the housing bubble and crash in 2005-2006, but their warnings were ignored as they were one voice among many bulls, each promoting their own perspective through newsletters and platforms.