Underlying Assumptions

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by Terry Heick

There are ideas and then there are ideas between ideas.

The spaces between ideas can be pregnant with ideas of their own in the same way that there are stars and then there are spaces between the stars. And these spaces matter because they’re dark and dark (and its absence) characterizes light.

Okay, how about this: Every reality has factors. Every effect has a cause. Every data point has a context. You can separate these relationships in a temporary kind of singularity in order to examine them, but in doing so risk losing the thing itself because the thing doesn’t just have a context but only exists in a context.

We may fail to recognize these factors and causes and contexts, but they’re there. We may fail to extract the right lessons from these factors and realities and causes and effects and contexts and data, but they’re there, ready to be extracted.

And it’s not just about contexts and relationships. There are distinctions here too—nuanced distinctions that are not minor. The difference, for example, between causation and correlation. The difference between cause and effect but also the reality that it’s all relative (context) and recursive and non-linear. One thing ends and another begins and one causes the other and defines the other and depends on the other but are also entirely separate.

Which brings us to underlying assumptions.

That there are underlying assumptions that we ‘bring’ to a thought or decision may be more interesting than examining one set of underlying assumptions themselves, but we’re here for innovation in education, not epistemology.

Note: These aren’t in any sort of order because sometimes one needs another for context so I couldn’t, for example, leave #2 for last (as the most important) because it helped flesh out the rest and I thought #1 should be first even though it may not be the most important.