Double Blind Spot Bias

When two major, reinforcing areas of ignorance coexist, creating a powerful, self-validating distortion. For example, a field might be blind to both its cultural bias and its commercial funding influences. Each blind spot protects the other; questioning one is dismissed by appealing to the rigor implied by the other.

Example: Nutrition science historically blind to both cultural dietary diversity and the massive funding influence of the food industry. This double blind spot bias produced "universal" dietary guidelines that reflected Western habits and industry interests, while dismissing other diets as unscientific.

by Dumu The Void February 9, 2026

Single Blind Spot Bias

A metaphor for a researcher's (or field's) one major, unconscious area of ignorance that systematically skews how they design experiments and interpret data. It's the one big thing they cannot see about their own assumptions—often their cultural, gendered, or economic viewpoint—which acts as a hidden lens distorting everything.

*Example: A 20th-century psychology field dominated by wealthy Western men designing studies on "human" motivation using only male undergraduates as subjects. Their single blind spot bias—assuming their experience was universal—led them to pathologize women and non-Westerners for differing.*

by Dumu The Void February 9, 2026

Confirmation Bias Blind Spot

The cognitive inability to recognize one's own confirmation bias while easily detecting it in others. This is the meta-bias that makes confirmation bias so resistant to correction. You can see how your political opponent selectively reads news; you cannot see how you do the same. The blind spot is structural: self-awareness requires a neutral vantage point, but there is no such vantage point. You cannot step outside your own confirmation processes because those processes are what constitute your reasoning.

Confirmation Bias Blind Spot Example: "I read diverse sources and follow the evidence wherever it leads. My opponent, however, lives in an echo chamber." This statement, sincerely believed, is the Confirmation Bias Blind Spot speaking. The speaker cannot perceive the filters they apply—the choice of which "diverse sources" to trust, which "evidence" to weight heavily, which conclusions "logically follow." Their bias is not in their data; it's in their algorithm for processing data. And algorithms cannot see themselves.

by Dumu The Void February 11, 2026