We study approximately 5.0 million stock picks submitted by individual users to the “CAPS” website run by the Motley Fool company (www.caps.fool.com). These picks prove to be surprisingly informative about future stock prices. Shorting stocks with a disproportionate number of negative picks and buying stocks with a disproportionate number of positive picks yields a return of over 12% per annum over the sample period. Negative picks mostly drive these results; they strongly predict future stock price declines. Returns to positive picks are statistically indistinguishable from the market. A Fama–French decomposition suggests that stock-picking rather than style factors largely produced these results.

We present a method of ranking U.S. undergraduate programs based on students’ revealed preferences. When a student chooses a college among those that have admitted him, that college “wins” his “tournament.” Our method efficiently integrates the information from thousands of such tournaments. We implement the method using data from a national sample of high-achieving students. We demonstrate that this ranking method has strong theoretical properties, eliminating incentives for colleges to adopt strategic, inefficient admissions policies to improve their rankings. We also show empirically that our ranking is (1) not vulnerable to strategic manipulation; (2) similar regardless of whether we control for variables, such as net cost, that vary among a college’s admits; (3) similar regardless of whether we account for students selecting where to apply, including Early Decision. We exemplify multiple rankings for different types of students who have preferences that vary systematically.