The Difference Between Following Advice and Understanding the Causality

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Sometimes we're given advice, like an industry best practice or standard technique. And yet sometimes we might want to take it anyway because it's a best practice. We assume that because people have been doing a long time and it's recommended, it's probably a good idea. Other pieces of advice you really only want to do them if you kind of like deeply understand the reasoning behind them.

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What is risk-driven development? How should we weigh advice, best practices, and common sense in a domain? What makes some feedback loops better than others? What's the best way to take System 2 knowledge and convert it to System 1 intuition? What are forward-chaining and backward-chaining? When is it best to use one over the other? What are the advantages and disadvantages of centralization and decentralization?

Satvik Beri is a cofounder and head of Data Science at Temple Capital, a quantitative hedge fund specializing in cryptocurrency. He is a big believer in the theory of constraints, and he has a background helping companies find and eliminate major development bottlenecks. Some of his interests include machine learning, functional programming, and mentorship. You can reach him at satvik.beri@gmail.com.

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