Better Data, Better Date?

About this episode

This episode explores the intersection of data and modern dating, questioning the effectiveness of algorithms in fostering lasting connections.

This month on the Harvard Data Science Review Podcast, we explore the data behind modern dating. With millions of swipes happening daily, dating apps promise compatibility through algorithms—but do they really optimize for lasting connection? Host Liberty Vittert-Capito and guest co-host and HDSR column editor Miguel Paredes sit down with Linx Dating Founder and CEO Amy Andersen and Three Day Rule CEO Adam Cohen-Aslatei to examine the tension between human intuition and algorithmic matching. Drawing on decades of experience and tens of thousands of successful matches, they discuss what people say they want versus what they actually need.. From swipe data to AI-powered date coaching, this episode asks a provocative question: Can technology guide us to love, or is chemistry still beyond the reach of code? Listen in for a data-driven perspective on romance in the digital age. Our guests: Amy Andersen is the founder and CEO of Linx Dating, a private offline dating and social network located in the heart of Silicon Valley. Adam Cohen-Aslatei is the CEO of Three Day Rule, a personalized, high-end matchmaking service.

People in this episode

Host: Liberty Vittert-Capito

Guests: Miguel Paredes, Amy Andersen, Adam Cohen-Aslatei

Topics covered

• modern dating
• dating apps
• algorithmic matching
• human intuition
• data-driven romance
• AI in dating

Keywords

• dating
• algorithms
• compatibility
• swipe data
• AI coaching
• human intuition
• romance

Mentioned in this episode

Organizations: Linx Dating, Three Day Rule, Harvard Data Science Review

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