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finally realized that the messages were conditional probabilities in one direction and likelihood ratios in the other.
Judea Pearl, Dana Mackenzie • The Book of Why
statistical quantity to be estimated from the data that, once estimated, can legitimately represent the answer to our query.
Judea Pearl, Dana Mackenzie • The Book of Why
In a multivariate test, the individual changes are served up at random to create many possible combinations.
Ben Hunt • Convert!: Designing Web Sites to Increase Traffic and Conversion

the intuition: The probability has gone up because evidence from past experiments (two-thirds have not increased performance) is now included in the analysis.
Stefan H. Thomke • Experimentation Works: The Surprising Power of Business Experiments
Thus, people do not learn the relation between sample size and sampling variability, although the data for such learning are abundant.
Daniel Kahneman • Thinking, Fast and Slow
hypothesis test evaluates two mutually exclusive statements about the population and determines which statement the data support.
Jim Frost • Hypothesis Testing: An Intuitive Guide for Making Data Driven Decisions
Small data is big data in disguise. The reason we can often make good predictions from a small number of observations—or just a single one—is that our priors are so rich.
Brian Christian, Tom Griffiths • Algorithms to Live By: The Computer Science of Human Decisions
statistics isn’t about data but distillation, rigor, and avoiding being fooled by randomness