The Neurotypical Stare

The neurotypical stare is a common facial expression displayed by neurotypical people expressing confusion, discomfort, awkwardness, judgement and unease whilst observing an autistic person.

Autistic people commonly describe the 'neurotypical stare' as making them feel very uncomfortable and uneasy due to its intensity and judgemental undertones.

It is the inverse neurotype equivalent of the 'autistic stare' that commonly causes neurotypical people also feel similarly uncomfortable.

When an autistic person does autistic things, Neurotypical John often looks at them judgementally with 'The Neurotypical Stare'.

by BigTiddyBobby January 29, 2026

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Majority Neutrality Bias

The belief that the most common or popular position on an issue is automatically the most neutral one—that consensus equals objectivity. The Majority Neutralist assumes that if most people believe something, that belief must be free of bias, because bias is deviation from the norm. This flips the actual relationship: majorities have the most powerful biases, the ones that get to dress up as "common sense" precisely because they're invisible to those who hold them. The majority view isn't neutral—it's just the bias you don't have to defend.

"Most people in this country agree with me, so I'm obviously not biased—I'm just normal." That's Majority Neutrality Bias: mistaking the water you're swimming in for the absence of water.

by Abzugal Nammugal Enkigal February 22, 2026

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Mainstream Neutrality Bias

The assumption that ideas circulated by mainstream institutions—major media outlets, established publishers, popular platforms—represent a neutral middle ground between fringe extremes. The Mainstream Neutralist treats the Overton Window as if it were reality itself, rather than a socially constructed range of acceptable debate. They forget that today's mainstream was yesterday's radical fringe and will be tomorrow's obsolete relic. The mainstream isn't neutral—it's just where power has currently settled.

"I just read the centrist newspaper—they're not biased like those crazy partisan sites," she said, unaware that her "centrist" paper had an editorial board, a corporate owner, and a demographic of readers whose interests shaped every story. Mainstream Neutrality Bias: when the middle of the road is still a road, built somewhere, going somewhere.

by Abzugal Nammugal Enkigal February 22, 2026

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Logical Neutrality Fallacy

The denial that, in practical contexts, logic is not neutral—that power struggles and vested interests operate through logic, and that logic is a space of power just like science and academia. The fallacy lies in insisting that logic floats free of human interests, that logical standards are universal and impartial, when in fact what counts as logical, whose logic counts, and how logic is applied all reflect power relations. Logical Neutrality Fallacy is what happens when privilege becomes invisible—those with logical privilege assume their logic is just logic, not one logic among many backed by institutional power.

"Logic is neutral—it doesn't care who's using it!" That's Logical Neutrality Fallacy—denying that power shapes what counts as logical. But whose logic? Applied by whom? Enforced in what contexts? Western classical logic has power; indigenous logics don't. Logic isn't neutral when one logic gets to define what logic is. Neutrality is a myth; power is real."

by Dumu The Void March 3, 2026

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Creative Neural Networks

Neural network architectures designed not just for pattern recognition and prediction but for genuine creativity—generating novel outputs that weren't implicit in training data. Creative Neural Networks would combine the pattern-matching power of deep learning with mechanisms for genuine novelty: constrained randomness, cross-domain synthesis, emergent recombination. They wouldn't just optimize for accuracy; they'd optimize for interestingness, for novelty, for surprise. The frontier where neural networks stop recognizing and start imagining.

"The neural network didn't just classify images; it generated new species of flowers that looked like they could exist but didn't—combining features across genera in ways no botanist had seen. That's Creative Neural Networks: not recognizing the world, but expanding it."

by Nammugal March 4, 2026

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