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The author argues that modern computational science is fundamentally open source software, as science requires testable, reproducible knowledge that can be systematically organized and used to improve predictions about the world. Without open and reproducible software, scientific findings remain inaccessible and untestable for other researchers, failing to meet the basic definition of science. The piece challenges academia's focus on publishing results over creating transparent, reproducible code that enables others to validate and build upon scientific work.
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