Several exchanges highlight curiosity about the research’s methodology and implications, such as the mention of machine learning techniques like random forests and references to supplementary videos that explain the concepts. The tone ranges from neutral to interested, reflecting a recognition of the study’s relevance but not overwhelming enthusiasm.
AgreementModerate agreement
Most discussions recognize the article's findings as valuable, with some referencing the use of machine learning methods and their implications for understanding romantic attraction.
InterestModerate interest
Participants show moderate curiosity, often referencing the research and related videos, indicating some engagement but not deeply passionate.
EngagementModerate engagement
Posts include mentions of the research process, errors, and related resources, suggesting a moderate level of analytical involvement.
ImpactModerate impact
The discussions hint at the significance of the findings, especially the challenge in predicting romantic desire, which could influence future research and social understanding.
Abstract in brief
The study investigates how well individual traits and preferences predict romantic attraction and desire using machine learning methods during speed-dating events.
It finds that self-reported measures can explain some variations in attraction (4%-18% for actor variance and 7%-27% for partner variance) but fail to predict relationship variance.
This indicates that the compatibility aspects of romantic connections are hard to anticipate before two people actually meet in person.
New paper under review! Florian Pargent is checking "Is romantic desire predictable? Machine learning applied to initial romantic attraction" by @datingdecisions, @PaulEastwick, & @EliJFinkel for errors.
https://t.co/FGzkRjvVkI
Jun 11, 2024 · 8 likes · 4 shares · 580 followersView post →
New paper under review! Florian Pargent is checking "Is romantic desire predictable? Machine learning applied to initial romantic attraction" by
@datingdecisions.bsky.social, @pauleastwick.bsky.social, &
@elijfinkel.bsky.social for errors.
error.reviews/reviews/joel...
This video explores whether you can truly like someone even if you are unsure. It discusses how feelings can develop over time, offers tips for managing the uncertainty, and examines the unpredictability of romantic…
Fragst du dich warum Online Dating manchmal so frustrierend ist. In diesem Video nehmen wir Online Dating unter die Lupe. Wir zeigen dir, wie du deine Chancen auf ein Match statistisch erhöhen und jemanden finden…
New paper under review! Florian Pargent is checking "Is romantic desire predictable? Machine learning applied to initial romantic attraction" by
@datingdecisions.bsky.social, @pauleastwick.bsky.social, &
@elijfinkel.bsky.social for errors.
error.reviews/reviews/joel...
RT @error_reviews: New paper under review! Florian Pargent is checking "Is romantic desire predictable? Machine learning applied to initial…
Jun 11, 2024 · 4 shares · 4,670 followersView post →
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Ian Hussey
@ianhussey · X
RT @error_reviews: New paper under review! Florian Pargent is checking "Is romantic desire predictable? Machine learning applied to initial…
Jun 11, 2024 · 4 shares · 2,614 followersView post →
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ERROR
@error_reviews · X
New paper under review! Florian Pargent is checking "Is romantic desire predictable? Machine learning applied to initial romantic attraction" by @datingdecisions, @PaulEastwick, & @EliJFinkel for errors.
https://t.co/FGzkRjvVkI
Jun 11, 2024 · 8 likes · 4 shares · 580 followersView post →