Why does a least squares fit appear to have a bias when applied to simple data?

Why is everything based on likelihoods even though likelihoods are so small?

How do DAGs help to reduce bias in causal inference?

900 out of 1000 people say a car is blue, what's the probability it is blue?

Making sense of principal component analysis, eigenvectors & eigenvalues

The sleeping beauty paradox