This is the second post in a series leading up to the 16th annual International Forum on Consciousness, taking place in Madison this May, hosted by the BTC Institute, Promega and Usona Institute. The Forum gathers scientists, philosophers, and practitioners from dozens of different fields to investigate the nature of the mind. This year’s theme, “Unspoken Intelligence,” explores forms of perception and knowing that fall outside conventional cognition.
When she thought about a dog, she saw a dog, more specifically, every dog she had ever encountered, cycling through her mind like a card catalog with pictures attached. She assumed everyone did this. When she discovered they didn’t, that most people access something more like an abstract concept hovering somewhere between language and image, she was genuinely surprised. Temple Grandin had always known her mind didn’t work the way people expected. What she didn’t know, until she was an adult, was the specific shape of the difference.
Most of us know this story, or one like it. We understand that some minds filter experience differently, but the science on this doesn’t stop where the conversation usually does.
For most of its history, the field that mapped minds like Grandin’s looked at those that didn’t fit the available systems and concluded the minds were broken. (It didn’t ask whether the systems were.) More recently, the conversation has been reframing those minds not as deficient but as different.
For many people, that reframing has been transformative, changing how educators teach, how clinicians diagnose, and how workplaces are designed. We are now more familiar with alternative cognitive profiles such as autistic pattern recognition (like that experienced by Grandin), ADHD-associated divergent thinking, and the hyper-focused depth of what researchers call monotropic attention. These are not broken versions of normal cognition. They are different architectures, each with genuine capabilities that other minds aren’t built to produce.
The terms most commonly used to describe these differences, neurotypical and neurdivergent, are useful shorthand but they describe a binary the underlying biology doesn’t support. Cognitive traits distribute across a population the way most biological traits do. “Neurotypical” minds are simply closer to the statistical center. What we call “neurodivergent” can be better understood as the part of that population that differs visibly enough from the statistical center to make the variation impossible to ignore.
Continue reading “The Filter You Didn’t Choose”
