How can algorithms predict human behavior, sometimes even better than we know ourselves? From shopping habits to potential health risks, what are the underlying principles that allow machines to seemingly understand the intricacies of the human condition?

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We often hear about algorithms that can forecast our preferences, suggest products, or even detect health issues before they become apparent. How can a machine, which doesn’t have consciousness or feelings, accurately predict something so complex as human behavior? I’m fascinated by this intersection of technology and psychology and would love to hear from anyone who can shed light on the mysterious ways these algorithms seem to ‘know’ us. What’s happening behind the scenes that makes this possible?

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Anonymous 0 Comments

There’s an economics principle that individual humans are unpredictable, but groups of humans are very predictable.

We all like to think we’re special snowflakes, but in reality there’s like 3 – 5 categories of people based on behavior, and our wants and needs are all pretty similar.

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