cherry picking

Terms from Statistics for HCI: Making Sense of Quantitative Data

A common problem in statistics, when researchers deliberately or accidentally ignore results that are not to their liking and only report those that are advantageous. Cherry picked results may mislead people (including the researchers themselves) or make them falsely believe something is true.

Defined on page 79

Used on pages 15, 65, 79, 81, 82, 86, 92, 100, 142