Ah, springtime in the city. Birds are chirping, trees are blooming, squirrels are frolicking, and MATH is in the air? The Huffington Post’s “Why Dating in New York Sucks (With Mathematical Proof!) reminds me of another article in which a British economist employed Drake’s equation to figure out why he had no girlfriend. In the HuffPo iteration, Satoshi Kanazawa is presented with the question: “Is there mathematical proof that dating in New York is difficult?”

Kanazawa references a theorem proven by two dorks without dates (ahem…mathematicians in 1966). According to Kanazawa:

This applies to anything, dating, looking for a job candidate. If you have a pool of candidates that you haven’t seen and if your job is to pick the best candidate then it’s been mathematically proven that the best strategy to do is to reject the first 37% of the candidates regardless, so you just reject the first 37% of the candidates and then choose the next candidate that is better than all the candidates that you’ve seen before. So if you apply that to a dating situation that means that you have to reject the first 30% of all the people you date regardless and then you marry the one who is better than all the ones you’ve dated before.

Already, I am finding some holes in Kanazawa’s rationale. First off, if the mathematicians said your best strategy is to reject the first 37% of candidates when hiring someone for a job, then why would you reject only 30% of all the people you date? Isn’t a life partner supposed to be a little more important and hopefully permanent than your employee?

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