Finished reading: Piensa claro by Kiko Llaneras 📚

I thought interpreting data wasn’t that hard. I know the basic rule: correlation doesn’t imply causation. But Kiko Llaneras’s book has made it clear that my biases go way beyond what I thought.

The example that blew my mind: a graph showed a negative relationship between a football player’s value and their defensive actions. Until it was split by country. Suddenly, each country showed a positive relationship. The same data, two completely opposite stories depending on how you look at it. If this can happen with something as measurable as football, how many times do we misinterpret data in our daily lives without even realizing it?