Oscar bait make it eligible for the awards. However, it was not nominated for any. Second and third were "", the 2003 Best Picture winner, and "The People vs. Larry Flynt", released in 1996. At the low end, as the movie in that period which least qualified as Oscar bait, was the 2006 remake of "When a Stranger Calls", which indeed was not nominated for any Oscars. It was followed by 2009's "Hotel for Dogs" and "", from 2004. Rossman and Schilke used their data to develop an algorithm that could predict how many Oscar nominations a film would get, based on
Oscar bait its similarities to other recent Oscar nominees. It did not take sophisticated statistical analysis, they noted—"Entertainment Weekly" had for many years correctly predicted the Oscar nominees. Using data on how much the films had cost to make, they treated the system of nominating as a Tullock lottery to determine the studios' rate of return on their investments. They found that while Oscar-nominated films do indeed get at least a small bonus in ticket sales, directly proportional to the number of nominations, films with what they called "Oscar appeal" took a loss when they did not get any nominations. "We've found