Close relationships theoretical perspectives and matchmaking companies suggest that initial attraction is, to some extent, a product of two people’s self-reported traits and preferences. 10.5255/UKDA-SN-852716 We used machine learning to test how well such measures predict people’s overall tendencies to romantically desire others (actor variance) and to be desired by others (partner variance), as well as desire for specific partners above and beyond actor and partner variance (relationship variance).That OK CUPID or personality profile might say that you and “Mr.
In other words, you’ve got to meet someone in order to trigger romantic love, no matter how perfect you may seem on paper.
While you shouldn’t deactivate your dating profile just yet, it’s best to treat what you read with a long handled spoon.
It could only predict how many people they liked and were liked by in general.
"These results suggest that compatibility elements of human mating are challenging to predict before two people meet," they concluded.
They predicted the likelihood that people would want to go on another date using one of the most effective algorithms available and compared these predictions to the actual outcome of the speed dating event.
None of the answers to the questions were able to predict how likely two people were to want to date.
For the study, researchers from the University of Utah, the University of California, Davis, and Northwestern University had people answer over 100 questions on things that have been proven to correlate with what they want in a partner, like their politics and what kind of relationship they're looking for.
Then, they had everyone meet through four-minute speed dates.
," and "Wouldn’t it be fun to chuck it all and go live on a sailboat?
"Even then, people may not answer the questions honestly — especially on apps with questions like whether you'd prefer to date someone of your own race, how messy you are, and whether or not you're annoying.
"Any algorithm that doesn't take into account physical attractiveness is likely going to be way off," she says.