Why we often mistake our imagination for the world's reality

Observational Explanations · 10:30 · Video: Bozeman Science · Watch at the source

In short: Most people believe science is a collection of discovered facts, but it is actually a rigorous process of separating what we see from what we imagine. To think like a scientist, you must learn to distinguish durable observations from the creative explanations built upon them.

A common misconception in education is that scientists simply go out and 'discover' facts for people to memorize. Because many students lack formal training in logic, they often view scientific claims—such as theories or established laws—as direct observations of the natural world. In reality, there is a critical distinction between an observation (a statement about something noticed) and an explanation (a logical reason provided for a phenomenon).

Scientific observations are intended to be relatively durable; they are the raw data gathered from firsthand experience or media. However, while the data might stay constant, more than one explanation can exist for any single set of observations. This means that while the 'what' is often stable, the 'why' is a construction of the scientific imagination. The goal of scientific reasoning is to move from the observable event to an evidence-based account using logical thinking.

Understanding this mechanism is essential for rationally evaluating claims. By identifying which parts of a statement are durable observations and which are imaginative explanations, one can better navigate complex information. This framework, rooted in Science and Engineering Practices, encourages individuals to construct accounts of natural phenomena by systematically separating the evidence from the reasoning used to interpret it.

This distinction is why science remains a dynamic process rather than a static list of truths. By isolating observations, scientists can test different explanations against the same data. If an explanation fails to account for the durable observations, it must be refined or discarded, allowing for a more accurate understanding of the natural world.

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