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“Selection Bias” gathers books that reveal how our conclusions and stories change depending on who gets counted, heard, or chosen. Spanning statistics, social science, data journalism, and perspective-bending narrative, these works unpack survivorship bias, sampling errors, and the hidden filters imposed by media, institutions, and algorithms. They spotlight missing data and missing voices, showing how gatekeeping, curation, and convenience samples distort evidence, memory, and history. Expect case studies from science, medicine, economics, and tech alongside fiction and memoir that play with unreliable narrators and partial viewpoints. The throughline is a toolkit for asking “who’s included, who’s left out, and how does that change the story?”—and for making sharper, more informed decisions.

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