Bo Kimble was a 2nd Team AP All-American who led the nation in scoring with a 35.3 point per game average during the 1989-90 college basketball season. Regardless, most of us remember him for the special way he paid homage to Hank Gathers, a former teammate who tragically died after collapsing on the court during a conference playoff game in March 1990. Up to that point, the teammates were inseparable. They played together on the same high school team in Philadelphia, and then enrolled at the University of Southern California before transferring to Loyola Marymount. During LMU’s magical run to the Elite Eight after Gathers’ death, Kimble shot his first free throw in each game left-handed, just like his long-time friend. This post provides the backstory behind one of the most touching moments in NCAA Tournament history.
Just like Brendan Fraser, Warren Beatty earned the dubious distinction of starring in more than one Top 10 Box Office Bust. While the term “star” may have applied to Fraser for a fleeting moment, it most certainly has applied to Beatty for decades. Still the Hollywood legend failed miserably with Ishtar (1987) and Town & Country (2001). Coming in at #10 in my countdown, Ishtar may be a more well-known fiasco. However, I consider Town & Country more bust-worthy. Despite having a strong cast that included Diane Keaton and Goldie Hawn alongside Warren Beatty, the movie didn’t work. In particular, it only grossed $10 million at the box office. With an inflation-adjusted loss of $125 million, Town & Country certainly earned its spot as the #5 Bust.
To be fair, the following post is geared towards “quant jocks” (ok, nerds) who have a reasonable knowledge of statistical distributions. In particular, I have used Weibull distributions to model different subsets of 1st round picks from over 40 NBA drafts. With different shape and scale parameters for each subset, the expected value of a draft pick can be estimated with statistical probability. Based on my analysis, I developed a methodology to define a bust objectively in order to overcome the bias which seems to be apparent in existing lists of all-time busts. If you work for an NBA team and came across this site, you should read this post.
