STATISTIC

statistic

noun

A single numerical fact or value calculated from data to describe or estimate characteristics of a larger population.

Statistics were made to help us see patterns.

Not people.

And somewhere along the way, we forgot the difference.

An attendance record can tell us a girl missed eighteen days of school.

It cannot tell us what happened in the eighteen mornings before she disappeared from the page.

It cannot record the little brother she dressed first.

The bus that never came.

The period products she did not have.

The anxiety she could not name.

The house she did not feel safe leaving—or returning to.

It cannot count how many times she tried to explain herself before deciding silence was easier.

Still, we keep asking the number to tell us who she is.

At-risk.

Disengaged.

Chronically truant.

We take the measurement and turn it into a biography.

There are names for this instinct.

The McNamara fallacy warns of what happens when we trust what can be counted more than what cannot.

Goodhart’s Law warns that once the number becomes the goal, we may begin serving the metric instead of the person it was meant to help us understand.

But before there were names for any of that, there was simply this:

a girl, and a story the data could not hold.

Attendance matters.

The data matters.

But the number was supposed to point us toward her.

Not stand in for her.

Maybe chronic absence is not the answer.

Maybe it is the question.

Maybe eighteen missed days should not make us certain about who she is.

Maybe it should make us curious about what happened on mornings one through seventeen.

Because a statistic can tell us what is happening to a population.

It cannot tell us what happened to her.

And that difference is where the work begins.