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.

The efficient market hypothesis states a stock's price reflects all available information, including future expectations. Believing a company will succeed isn't an edge; it's already priced in. This explains why consistently beating the market is nearly impossible.

The historical information asymmetry between professional and retail investors is gone. Tools like ChatGPT and Perplexity allow any individual to access and synthesize financial data, reports, and analysis at a level previously reserved for institutions, effectively leveling the playing field for stock picking.

Today's markets are less efficient because the dominant players—passive funds, retail traders, and short-term quants—do not invest based on long-term fundamentals. This creates a significant arbitrage opportunity for investors who are willing to focus on a company's intrinsic value over a one- to three-year horizon, a timeframe now largely ignored.

As quantitative models and AI dominate traditional strategies, the only remaining source of alpha is in "weird" situations. These are unique, non-replicable events, like the Elon Musk-Twitter saga, that lack historical parallels for machines to model. Investors must shift from finding undervalued assets to identifying structurally strange opportunities where human judgment has an edge.

Even for the world's greatest investor, success is a game of outliers. Buffett made the vast majority of his returns on just 10 of 500 stocks. If you remove the top five deals from Berkshire's history, its returns fall to merely average, highlighting the power law effect in investing.

Copying a guru's strategy often fails. Their outperformance might be a temporary style factor, not just skill. More importantly, their unique circle of competence is not transferable. Focus on becoming a better version of yourself, not a second-rate version of someone else.

If your core thesis can be replicated by a 5-second Yahoo Finance screener (e.g., low P/E ratio), it has been arbitraged away by quants and computers. Relying on such simplistic metrics is no longer just a zero-alpha strategy, but one likely to produce negative returns.

The expectation that universal, instant access to information would lead to more efficient markets has been proven wrong. Instead, it has amplified sentiment-driven volatility. Stock prices have become less tethered to fundamentals as information is interpreted through the lens of crowd psychology, not rational analysis.