Content about “bias”

Causal inference is the art of discerning cause and effect from data. Find out more in this introduction.

Data can give us incredibly useful insight, but they can also mislead. Here's an example.

Cognitive biases shape how we understand data. Being aware of them gives us a better chance of avoiding bias.

Wet cats don't cause umbrellas and umbrellas don't cause wet cats.