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Whiteboard Wednesday

Discovery vs Hypotheses

This Whiteboard Wednesday session delves into the two main approaches to experimentation: discovery-based and hypothesis-based. It explains how discovery-based experiments foster innovation by exploring without preconceived notions, allowing for unexpected insights. On the other hand, hypothesis-based experiments focus on testing specific hypotheses, such as in A/B testing, where a particular outcome is anticipated. Rishabh highlights the importance of both methods in research and innovation, providing a balanced perspective on how each approach contributes to scientific and practical advancements.

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Two Approaches to Experimentation

Experiments can be conducted using two main approaches: discovery-based and hypothesis-based. Discovery-based experiments involve exploring without preconceived notions, allowing for unexpected findings. Hypothesis-based experiments involve forming and testing specific hypotheses, such as in A/B testing, where a particular outcome is anticipated and tested.

Advantages of Discovery-Based Experiments

Discovery-based experimentation is crucial for innovation, particularly in fields where no prior theory exists. This method encourages asking open questions, gathering comprehensive data, and being open to any results. It’s a powerful way to uncover new insights that wouldn't emerge through hypothesis testing alone.

Balancing Both Methods

While hypothesis-based experiments are commonly perceived as the primary way to conduct good experiments, it's essential to recognize the value of discovery-based methods. Both approaches are equally valid and necessary, depending on the context and goals of the research or project.

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