Paras Chopra

Paras Chopra's February 2021 essay on why building a fully-featured product from day one is almost always a mistake. The central argument: every market-dominating product — from Tesla to Google to the iPhone — began as a deliberately simple, even stripped-down offering, and developed its sophistication through thousands of incremental iterations in response to actual users. Apple's 1983 Lisa, which bundled multiple innovations on launch day, became a $10,000 disaster. The lesson: do one thing extremely well, then let reality guide you toward the next.

The article argues that science is not a fixed truth but an evolving process where knowledge is constantly revised. It explains that scientific models are tools for prediction, not perfect representations of reality. Multiple different models can explain the same phenomenon, making it impossible to define a single “true” reality. Human understanding is limited, favoring simple and elegant theories even if reality may be complex or chaotic. The concept of model-dependent realism suggests that truth depends on the usefulness of models rather than absolute accuracy. Ultimately, science helps us predict and interact with the world, but may never fully explain or unify reality.