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Lots of dating apps and websites claim to be able to use data to sort through profiles for better matches. But scientists and journalists can't investigate their claims, as the algorithms are the intellectual property of these companies and not publicly available.
This encouraged scientists to make their own app and examine predictors of attraction.
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A research team found that the distance between a potential partner and the idealized partner was the best predictor for attraction.
When we meet someone who is supposed to be interested in us, we are more flexible about who we are interested in.
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Some dating apps look at core values and use that to match people who are as similar as possible.
Other dating apps ask very little in the way of preferences before they start to show you profiles. The apps refine as they learn about the user's preferences.
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To account for research failure, it is believed that when two people actually meet, they form a shared dynamic that is more than the sum of its parts. Their individual preferences do not make up the substance of what they would find attractive.
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The things that are needed to be able to predict romantic desire.
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Other curated ideas on this topic:
Many young, single people are curious about dating apps but donβt want to display their own moniker to others, afraid of appearing desperate and uncool.
They quell their Dating App FOMO (fear of missing out) and general fascination about online match-making by grabbing their friend's phone...
Many apps like Tinder are designed and positioned as a game, while not being called so. People who are out of the game seem to quench their thirst about it by looking at how others play it and playing it for them too.
Many dating app users have βdating app fatigueβ or βswiping fatigueβ and...
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