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Historically, we have conducted evaluations using proofs, to ensure they give us the answers we intend, and performance data, to ensure they perform efficiently. While these two techniques are well established and important, I argue a third is fundamentally missing from the design process: a scientific analysis of impact.\n\nIn the academic literature, for example, there is a near-complete lack of replicable scientific evidence regarding how the design of programming languages impacts people or communities, which has led in part to the programming language wars. In this talk, I introduce Quorum, the world's first Evidence-Oriented Programming language. Throughout it, I will discuss the specific evidence gathered on Quorum to-date and how other designers can use it to improve or evaluate their own products. 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