Investors extrapolating future returns from recent performance is a more damaging force in markets than underestimating fat tails or the rise of passive indexing. This behavior of 'return chasing' hurts individual investors the most and leads to poor resource allocation.

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With information now ubiquitous, the primary source of market inefficiency is no longer informational but behavioral. The most durable edge is "time arbitrage"—exploiting the market's obsession with short-term results by focusing on a business's normalized potential over a two-to-four-year horizon.

Simply keeping pace with peers is not a valid measure of success. If peers are taking excessive risks in a bubble, matching their performance means you were equally foolish. True skill is outperforming in bad times while keeping pace in good times.

Contrary to popular belief, the market may be getting less efficient. The dominance of indexing, quant funds, and multi-manager pods—all with short time horizons—creates dislocations. This leaves opportunities for long-term investors to buy valuable assets that are neglected because their path to value creation is uncertain.

Mathematical models like the Kelly Criterion are only as good as their inputs. Historical data, such as a stock market's return, isn't a fixed 'true' value but rather one random outcome from a distribution of possibilities. Using this single data point as a precise input leads to overconfidence and overallocation of capital.

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.

Market-cap-weighted indexes create a perverse momentum loop. As a stock's price rises, its weight in the index increases, forcing new passive capital to buy more of it at inflated prices. This mechanism is the structural opposite of a value-oriented 'buy low, sell high' discipline.

The underperformance of active managers in the last decade wasn't just due to the rise of indexing. The historic run of a few mega-cap tech stocks created a market-cap-weighted index that was statistically almost impossible to beat without owning those specific names, leading to lower active share and alpha dispersion.

Contrary to classic theory, markets may be growing less efficient. This is driven not only by passive indexing but also by a structural shift in active management towards short-term, quantitative strategies that prioritize immediate price movements over long-term fundamental value.

Contrary to the belief that indexing creates market inefficiencies, Michael Mauboussin argues the opposite. Indexing removes the weakest, 'closet indexing' players from the active pool, increasing the average skill level of the remaining competition and making it harder to find an edge.

Academic studies show that company growth rates do not persist over time. A company's past high growth is not a reliable indicator of future high growth. The best statistical prediction for any company's long-term growth is simply the average (i.e., GDP growth), undermining most growth-based stock picking.