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Hidden Brain

What Your Online Self Reveals About You

Dec 16, 2024
Sandra Matz, a computational social scientist at Columbia University, unpacks how our online behaviors unveil deeper truths about our identities. She discusses the discrepancies between self-perception and actual behavior, revealing how digital footprints can reflect personality traits and even predict socioeconomic status. Matz highlights the potential for using this data to foster positive changes in health and financial habits, while also exploring the implications for mental health support and the challenges of online surveillance.
52:03

Episode guests

Podcast summary created with Snipd AI

Quick takeaways

  • Understanding our true preferences requires analyzing actual behaviors online rather than relying on self-reported interests skewed by biases.
  • Growing up in supportive communities fosters better decision-making and personal growth compared to the isolating nature of modern anonymous environments.

Deep dives

The Illusion of Self-Knowledge

Many individuals operate under the belief that they possess a comprehensive understanding of their own preferences and characteristics. However, this belief is often skewed by various biases and self-deceptions that distort self-perception. For instance, when asked about their abilities, most people rate themselves as above average, which statistically cannot be true. This phenomenon illustrates a disconnect between how we perceive ourselves and how we actually behave, leading to repeated choices that may not align with our true preferences, such as ordering a disliked dish at a familiar restaurant.

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