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Biological signals are very noisy. By contrast, CS signals are much cleaner. Only when CS delves into large volumes of social data do signals complicate. But even then, the cooked events of digital data is much cleaner than the raw signals inherent in bio-data. The complexity, interdependency, nonlinearity, and unknowns in bio variables are frequently overwhelming even for experts.

Success in biological research is driven by the scientist's ability to sort wheat from all this chaff, and it's acquired by gathering the data themselves hands-on in wet labs. A master biologist has learned how to navigate that space experimentally and analytically using techniques they've mastered just well enough to see over the noise.

As someone with degrees in both bio and CS and 15 years of work that crosses the boundary between them, I'm decidedly more in awe of those who have mastered biology.

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