a list compiled by Alex Kasman (College of Charleston)

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 Along Came Polly (2004) John Hamburg (Writer and Director)
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 Contributed by Caroline Copeland [This film] stars Ben Stiller as risk-assessing Actuary Reuben Feffer and Jennifer Aniston as love interest Polly Prince. Because Feffer must know the risks inherent in many situations, he becomes inhibited by this knowledge and is unable to take any risks. While on honeymoon with his bride Lisa, she cheats on him and they split up. When he returns home, he runs into Polly Prince, a wild, risk-taking ex-classmate, and he is immediately intrigued. However, his aversion to risk taking must be overcome before he can truly be in a relationship with Prince. Reuben Feffer is very much a stereotypical mathematician. He cites probabilities for multiple different ‘risks', including eating from the bowl of mixed nuts at a bar. He is somewhat of a stereotypical ‘nerd': he is socially awkward, a bad dancer, and has irritable bowel syndrome. His constant need to measure the risks in his life almost lead to a split with Prince when she discovers him comparing the risks between her and his ex-wife. Ultimately, he must abandon his need to measure risks to get Prince back, and he shows this by eating nuts off of a New York sidewalk.

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Works Similar to Along Came Polly
According to my `secret formula', the following works of mathematical fiction are similar to this one:
1. What Are the Odds? by Justin Spitzer (writer) / Matthew Tritt (director)
2. Tracking the Random Variable by Marcos Donnelly
3. The Rabbit Factor [Jäniskerroin] by Antti Tuomainen
4. Slightly Perfect / Are you with it? by George Malcolm-Smith (Novel) / Sam Perrin (Script) / George Balzer (Script)
5. Odds Against Tomorrow by Nathaniel Rich
6. Going Out by Scarlett Thomas
7. The Helpline by Katherine Collette
8. The Mirror Has Two Faces by Barbra Streisand (director) / Richard LaGravenese (Writer)
9. Problems for Self-Study by Charles Yu
10. Math Takes a Holiday by Paul Di Filippo
Ratings for Along Came Polly:

Categories:
 Genre Humorous, Motif Anti-social Mathematicians, Romance, Topic Probability/Statistics, Medium Films,

Exciting News: The 1,600th entry was recently added to this database of mathematical fiction! Also, for those of you interested in non-fictional math books let me (shamelessly) plug the recent release of the second edition of my soliton theory textbook.

(Maintained by Alex Kasman, College of Charleston)