The fathers of physics and biology both lost their fortunes in financial speculation—Newton in the South Sea Bubble and Darwin in railways. This demonstrates that intellectual brilliance in one domain does not translate to financial markets, which are governed by psychology and mercurial forces.

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Unlike surgery or engineering, success in finance depends more on behavior than intelligence. A disciplined amateur who controls greed and fear can outperform a PhD from MIT who makes poor behavioral decisions. This highlights that temperament is the most critical variable for long-term financial success.

True investment prowess isn't complex strategies; it's emotional discipline. Citing Napoleon, the ability to simply do the average thing—like not panic selling—when everyone else is losing their mind is what defines top-tier performance. Behavioral fortitude during a crisis is the ultimate financial advantage.

Post-mortems of bad investments reveal the cause is never a calculation error but always a psychological bias or emotional trap. Sequoia catalogs ~40 of these, including failing to separate the emotional 'thrill of the chase' from the clinical, objective assessment required for sound decision-making.

The primary driver of market fluctuations is the dramatic shift in attitudes toward risk. In good times, investors become risk-tolerant and chase gains ('Risk is my friend'). In bad times, risk aversion dominates ('Get me out at any price'). This emotional pendulum causes security prices to fluctuate far more than their underlying intrinsic values.

Financial history rhymes because the underlying driver—human nature—is constant. Core desires for wealth, recognition, and love, along with the fear of pain and envy of others' success, have remained unchanged for millennia. These emotions will continue to fuel bubbles and crashes, regardless of new technologies or financial instruments.

Moving from science to investing requires a critical mindset shift. Science seeks objective, repeatable truths, while investing involves making judgments about an unknowable future. Successful investors must use quantitative models as guides for judgment, not as sources of definitive answers.

Quoting G.K. Chesterton, Antti Ilmanen highlights that markets are "nearly reasonable, but not quite." This creates a trap for purely logical investors, as the market's perceived precision is obvious, but its underlying randomness is hidden. This underscores the need for deep humility when forecasting financial markets.

Marks emphasizes that he correctly identified the dot-com and subprime mortgage bubbles without being an expert in the underlying assets. His value came from observing the "folly" in investor behavior and the erosion of risk aversion, suggesting market psychology is more critical than domain knowledge for spotting bubbles.

Warren Buffett's early partner, Rick Gurren, was as skilled as Buffett and Munger but wanted to get rich faster. He used leverage, got wiped out in a market downturn, and missed decades of compounding. This illustrates that patience and temperament are more critical components of long-term success than raw investing intellect.

The failure of Long-Term Capital Management, run by Nobel laureates, serves as a stark reminder that extreme intelligence doesn't prevent catastrophic failure. A Goldman Sachs quant observing the crisis was struck by how the failed partners were intellectually superior to their rescuers, highlighting the limits of raw intellect in markets.