
#92 Love by the Numbers: Can Romance Really Be Predicted?
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What if love isn't just a mysterious emotion but something that follows predictable patterns? Relationship theorist Zoey Charif joins us to reveal how her groundbreaking research can actually predict relationship success with mathematical precision.
After experiencing heartbreak during her criminology studies, Charif spent 18 years developing a revolutionary formula that measures relationship compatibility. She explains how we can calculate our "self-score" by rating ourselves on our top five values—things like family, purpose, and dependability. This self-evaluation creates a numerical representation of our self-respect and self-love, forming the foundation for healthy partnerships.
The magic happens in the numbers. Through extensive surveys of 300 couples, Charif discovered that successful relationships consistently show a fascinating pattern: partners view each other approximately 4% higher than they view themselves. This slight elevation creates a sustainable dynamic of mutual admiration and respect that allows relationships to thrive. Couples who demonstrate this pattern stay together, while those with misalignments eventually separate.
Charif also breaks down relationship personality types, distinguishing between "practical" individuals who prioritize values and "emotional" types who emphasize feelings and attraction. She warns against extreme emotional tendencies that romanticize obsession and fantasy—patterns often reinforced by Disney movies and pop culture narratives about "love at first sight."
Whether you're struggling to understand why past relationships failed or seeking to strengthen your current partnership, Charif's formula provides a revolutionary framework for relationship success. Her book "Love Can In Fact Be Calculated" offers a complete guide to applying these principles in your own life. Follow our podcast for more insights that challenge conventional wisdom and provide practical guidance for navigating the complex world of modern relationships.
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