Bunch of fish dating
But this isn't how a lifetime of dating works, obviously. The other problem is that once you reject a suitor, you often can’t go back to them later. It turns out there is a pretty striking solution to increase your odds. To have the highest chance of picking the very best suitor, you should date and reject the first 37 percent of your total group of lifetime suitors.One problem is the suitors arrive in a random order, and you don’t know how your current suitor compares to those who will arrive in the future. (If you're into math, it’s actually 1/e, which comes out to 0.368, or 36.8 percent.) Then you follow a simple rule: You pick the next person who is better than anyone you’ve ever dated before.If you just choose randomly, your odds of picking the best of 11 suitors is about 9 percent.But if you use the method above, the probability of picking the best of the bunch increases significantly, to 37 percent — not a sure bet, but much better than random.The math problem is known by a lot of names – “the secretary problem,” “the fussy suitor problem,” “the sultan’s dowry problem” and “the optimal stopping problem.” Its answer is attributed to a handful of mathematicians but was popularized in 1960, when math enthusiast Martin Gardner wrote about it in .In the scenario, you’re choosing from a set number of options.But as the number of suitors gets larger, you start to see how following the rule above really helps your chances.
So obviously there are ways this method can go wrong.
But one is that you never really know how the object of your current affections would compare to all the other people you might meet in the future.
Settle down early, and you might forgo the chance of a more perfect match later on.
This can be a serious dilemma, especially for people with perfectionist tendencies.
But it turns out that there is a pretty simple mathematical rule that tells you how long you ought to search, and when you should stop searching and settle down.
If you do, you have a 50 percent chance of selecting the best.