Statistic Imposter Poetic



Statistical results from research may be used to decide whether to retain or reject the null hypothesis.” (Ravid, 2014)

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Such hypothesis could, e.g., take on the prediction of there being no relationship between the control group and the one upon which neat experiments are conducted.

No need to imagine much if you were asked to visualize participating in a multitude of non-conspiratorial large-scale social experiments.

Though, your participation would not be in the control group nor in the experimental group.

May one stretch imagination and envision being one’s own inter-subjective version of a human ideal condition as the null hypothesis of these experiments?

Yes, let’s: imagine you are the result of there being no relation between those around you, being tested upon and those around not being tested upon, within that one particular experiment (among the many others).

Now ask yourself: “am I human and what does it feel like for me to be roaming in-between, as that balanced numerical?”

In such perhaps only seemingly dehumanizing yet surely absurd thought-experiment you are neither one nor other. You are proof, and yet a premonitional anomaly, since you preexisted the processes of the test and its results, comparing its two groups.

You are simultaneously what is right and wrong. You don’t contemplate the future; you live in the moment. You allow for change because you don’t change. You might be the antidote to one or other; if only you acted. But you won’t. As with the pendulum there is to be a point upon which the string is attached.

Are you that needle? That beacon in the rough seas? That rock in the sanding around which winds wind up sands, as if data points, from left to your right?

The wind can but swing if there is that middle, you call your own, to conduct a pivot around for grains to sense some re-frequented degree of recognition.

You are the poetic imposter of the human body statistic. You believe to maintain the balance.

Recontextualized quote from Ravid, R. (2014). Practical Statistics for Educators. London: Rowman & Littlefield. p. 42-43