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Explore effective testing strategies for challenging code scenarios in this ACCU 2021 conference talk. Delve into common testing difficulties in data science, machine learning, and general programming, with a focus on addressing claims of untestable code. Learn how to approach testing randomness, handle large datasets, and improve confidence in code deployment. Discover varied testing techniques to ensure your solutions "Do The Right Thing," even when dealing with complex algorithms and data-driven applications. Gain insights from Frances Buontempo, editor of ACCU's Overload magazine, and Steve Love, an experienced programmer and testing advocate, as they share practical approaches to overcome testing obstacles and enhance code quality.