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Biases of Biases

The systematic, structural distortions in which biases get recognized and critiqued within a society or institution. The biases of the powerful (e.g., pro-corporate, status-quo bias) are often rendered invisible or "neutral," while the biases of the marginalized (e.g., advocacy, protest bias) are hyper-visible and pathologized. It's a hierarchy of perceived distortion.
Example: In mainstream political commentary, a politician's bias towards protecting Wall Street is framed as "pragmatic realism," while a activist's bias towards wealth redistribution is framed as "ideological extremism." This is the operation of biases of biases—the rules that determine which perspectives are allowed to be "objective" and which must wear the label of bias.
Biases of Biases by Dumu The Void February 9, 2026
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Biases of Wiki

The systematic editorial skews inherent to Wikipedia and similar wikis, stemming not from malicious intent but from the inherent characteristics of its volunteer base and collaborative process. Key biases include: systemic bias (over-representation of topics popular among young, tech-savvy, English-speaking Western males), citation bias (over-reliance on sources that are digital and in English), conflict-of-interest bias (covert editing by PR firms and political operatives), and consensus bias (controversial truths that challenge established narratives are often edited out in favor of bland, "settled" accounts that won't provoke edit wars). Wikipedia's biases are the map of the world, drawn by a specific, non-representative cartographers' guild.
Example: The Wikipedia article for a major video game franchise is detailed, meticulously sourced, and updated hourly. The article for a crucial Indigenous agricultural technique, equally significant to human culture, is a stub or non-existent. This reflects the Biases of Wiki: the contributor base writes passionately about its hobbies, while crucial indigenous knowledge languishes due to a lack of editors from that community.

Cognitive Biases of Cognitive Biases

The specific, recursive set of errors we make when trying to identify, label, and correct cognitive biases. This includes: Bias Attribution Bias (attributing others' actions to their biases, but your own to circumstances), Fallacy Fallacy applied to biases (dismissing someone's point because you spotted a bias, even if their point is valid), and the "I'm Educated on Biases" Bias (assuming knowledge of bias lists makes you immune to them).
Cognitive Biases of Cognitive Biases Example: You accuse a friend of confirmation bias for only reading news that aligns with her politics. She retorts that your accusation is itself driven by fundamental attribution error (a Cognitive Bias). You then dismiss this as a tu quoque fallacy (a Fallacy Fallacy). This infinite regress of bias accusations is the hall of mirrors created by Cognitive Biases of Cognitive Biases.

Cognitive Biases of Encyclopedia

The subconscious prejudices of the individual experts, editors, and fact-checkers who compile traditional encyclopedias. These include professional domain bias (a historian might over-emphasize political history over social history), cultural blind spots, and unconscious allegiance to disciplinary paradigms. These personal biases are harder to spot and challenge than on a wiki, as they are buried under the veneer of singular, anonymous authority.
Cognitive Biases of Encyclopedia Example: The editor overseeing the "Psychology" section of an encyclopedia, trained in strict behaviorism, minimizes the contributions of psychoanalysis or humanistic psychology, framing them as historical curiosities. This Cognitive Bias of Encyclopedia shapes the reader's entire understanding of the field, presenting one school of thought as the definitive narrative.

Metacognitive Biases of Wiki

Flaws in Wikipedia editors' and readers' self-awareness about their own knowledge and judgment while using the platform. These biases distort how contributors assess their expertise, gauge the reliability of their edits, and monitor their comprehension of policies. Key examples include the Wikipedia Illusion of Explanatory Depth (believing you understand a topic fully after editing its article, when you've only mastered its presentation), and Procedural Overconfidence (thinking that strictly following citation and NPOV rules guarantees you've produced a "true" article, mistaking process-compliance for substantive understanding). These biases turn the wiki-editing experience into a metacognitive trap, where the act of curation is mistaken for mastery.
Metacognitive Biases of Wiki Example: A Wikipedia editor spends weeks polishing the article on "Quantum Entanglement," meticulously sourcing every claim. They develop a strong Metacognitive Bias of Wiki: the "feeling of knowing." They now believe they deeply understand quantum physics, confusing their hard-won skill in encyclopedic summarization with actual expertise in theoretical physics, and may start arguing authoritatively on physics forums, leading to embarrassing corrections.

Metacognitive Biases of Encyclopedia

Errors in self-awareness that readers (and to a lesser extent, editors) experience when engaging with a traditional, authoritative encyclopedia. The central bias is the Encyclopedia Illusion of Finality: the belief that because knowledge is presented in a finished, bound, and vetted volume, one's own understanding of the topic is also complete and settled. This stunts intellectual curiosity and critical thinking, as the reader's metacognitive signal shifts from "I am learning" to "I have learned." Another is the Deference to Canon Bias, where readers unconsciously outsource their judgment of importance and truth to the encyclopedia's editorial choices, mistaking the curated map of knowledge for the actual territory.
Metacognitive Biases of Encyclopedia Example: A student reads the encyclopedia entry on the "Causes of World War I" and then feels a strong sense of closure on the topic. This Metacognitive Bias of Encyclopedia leads them to dismiss a professor's lecture on newer historiographical debates as "overcomplicating" a settled issue. Their internal gauge of "knowing" has been prematurely maxed out by the authoritative format, impairing their ability to engage with evolving knowledge.

Theory of Recursivity and Generativity of Biases and Similar Issues

The idea that biases, logical fallacies, and similar cognitive and rhetorical distortions can be generated recursively and generatively from virtually any starting point. Because humans are pattern‑seeking, self‑justifying, and social, we can construct accusations of bias against any claim, and those accusations themselves can be accused of bias, ad infinitum. The theory explains why online debates often spiral into endless meta‑discussion about who is committing which fallacy, and why attempts to purge “bias” from discourse tend to produce new biases rather than eliminate them.
Theory of Recursivity and Generativity of Biases and Similar Issues Example: “He accused her of confirmation bias; she accused him of fallacy fallacy; he accused her of bias imputation. Theory of recursivity and generativity: once you start calling out bias, you can generate infinite layers.”