# Drake equation dating

Searching soulmate in your life is a lot like SETI.

In all that vastness, just as the aim of searching for some form of life in the universe, we are seeking for someone else on earth to share the rest of our life with.

Nor do I want to see wrinkly butt on a Sunday morning therefore, I think 32 – 42 is an appropriate age range.

Journey from the depths of the Pacific Ocean into the far reaches of space on a quest to find something that changes everything...signs of life, somewhere else in the universe. See full summary » The history of mathematics from ancient times to the present day.But here, let's focus on how we apply this equation to our problem.Here is the equation after adjustment,where P is the population (potentially it can mean the number of people in your city, country, etc.); $latex f_$ means the pool which you want to mate with (depending on whether you are straight, gay man, lesbian woman, or other type); $latex f_$ means the people that want to mate with you (same as $latex f_$ before, just from other people's perspective); $latex f_$ is a little bit fuzzier to interpret, but according to author Raymond Francis, it means "Of the people in your target gender and orientation, how many of them are open enough about their sexuality to engage in a relationship of the sort you’re hoping for? Any keen Big Bang Theory fan will find the following clip familiar (me myself included : P), which quoted the above Drake equation to illustrate the exact same situation here:https://youtu.be/WSk PLBIU3R4Another thread of thinking has been addressed by the famous secretary problem in the optimal stopping theory, which is also dubbed the marriage problem. right is the jth people I meet in my dating pool, then one of the first k (k$latex P_(k)=\sum_^\frac\frac=\frac\sum_^\frac\frac\approx -\fracln(\frac)$the last approximation holds as n approaches infinity.If we substitute $latex \frac$ and take the derivative of P(x)=-xln(x) with respect to x, we find the optimal x is equal to 1/e, where e is 2.71...Thus, the optimal cut-off tends to n/e as n increases.

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