Humans are bad at reasoning about data because of cognitive biases and limits processing complex patterns. AI can fix this by systematically finding patterns and presenting findings in ways people actually understand, making data analysis accessible to everyone.
Chapters
Humans are really bad in reasoning about data. So, you know, on the one side, you know, and, you know, there is great books like, you know, thinking fast and thinking slow about all of the biases that, that each of us carry. That, you know, kind of makes us want to look for the data we want to find, you know, rather for, you know, looking across all of the patterns. That's, that's one piece, but the other piece is also a. There's a genuine limitation in our ability to understand complex pattern and reasoning about that. Right. You know, and if you doubt me, right, you know, I don't know, you know, why is Chess Hub, right? Why is it hard to multiply, you know, four digit numbers, you know, in our brain? Because, you know, our brains is not made for that. And this is where AI technology is massively helpful because it kind of takes all of the best practices of good data analysis. Right. How do I reason about data? How do I look, you know, for data, how do I present that and makes that broadly accessible?