Bias of Fact-Checking

The inherent skew introduced when the process of verifying factual claims becomes institutionalized, gatekept by specific media or tech entities, and is applied disproportionately. This bias isn't about truth vs. falsehood, but about which truths get scrutinized, how context is framed, and whose statements are subjected to a forensic audit while others enjoy implied credibility. It often reflects the political and cultural priorities of the fact-checking institution.

Example: A fact-checking organization rigorously rates a progressive politician's minor statistical exaggeration as "Mostly False," while using a more charitable, context-laden analysis to rate a conservative ally's demonstrably false claim about election integrity as "Lacking Context." The bias of fact-checking lies in the uneven application of scrutiny, shaping public perception of credibility rather than merely dispensing truth.

by Dumu The Void February 9, 2026

Biases about Biases

The preconceived, often simplistic, notions we hold about what bias is and who has it. These are stereotypes about bias itself—e.g., "liberal media bias," "conservative denialism," "academic elitism"—that people use as pre-packaged filters to dismiss information without engaging. It's bias at a meta-level: being wrong about how wrongness operates.

Biases about Biases Example: A viewer immediately dismisses a documentary on climate change because "It's from Netflix, and Netflix has a woke bias." This is not an analysis of the film's evidence, but the application of a bias about bias—a canned ideological shortcut that prevents any actual evaluation of content.

by Dumu The Void February 9, 2026

Bitard

The russian Internet slang for an active user of an imageboard (E.g Dvach (Russian) or 4Chan (English))

-Is he always on Dvach
-Yup, he's a bitard

by Carolus_00 February 19, 2026

Bias of Arbitrary Objectivity

A bias where an individual declares their own perspective to be objective while dismissing all others as biased—without any justification for why their perspective deserves the "objective" label. The bias is arbitrary because the criteria for objectivity shift to always favor the biased party: what's "objective" is whatever they believe, whatever their side says, whatever serves their interests. This bias is the foundation of punditry, of editorializing, of the confident assertion that "I'm not political, I just believe in common sense" (where common sense means my opinions). The Bias of Arbitrary Objectivity allows its holder to feel rational while being utterly unreflective, to claim neutrality while being deeply partisan. It's the bias that denies it's a bias, which is what makes it so effective and so dangerous.

Example: "He introduced himself as 'just giving the facts, no bias.' Then he spent an hour presenting one side of every issue, dismissing opposing views as 'ideological.' The Bias of Arbitrary Objectivity meant he never had to examine his own assumptions—they weren't assumptions, they were just 'reality.' When challenged, he didn't defend his views; he defended his right to be the arbiter of what counts as objective. The bias was invisible to him, which is how it worked."

by Dumu The Void February 20, 2026

Bias of Neutral and Impartial Proof

A bias that treats Western standards of proof—deductive certainty for mathematics, statistical significance for science, eyewitness testimony for law—as neutral, universal, and the only legitimate ways to establish truth. The Bias of Neutral and Impartial Proof ignores that standards of proof vary across cultures and historical periods, that what counts as "proof" is negotiated, not discovered, and that Western proof standards have been used to dismiss non-Western knowledge systems. It presents "proof" as a pure concept, erasing its social construction. Those with this bias don't see their proof standards as one tradition; they see them as proof itself. Everyone else has anecdotes, superstition, or belief.

"Where's your proof?" they demanded, meaning "Where's your double-blind RCT?" Bias of Neutral and Impartial Proof: treating one culture's proof standards as universal. The speaker never considered that other forms of validation exist—centuries of observation, intergenerational knowledge, lived experience. Their proof was just proof; everything else was anecdote."

by Dumu The Void March 8, 2026

Bias of Neutral and Impartial Evidence

A bias that treats Western evidentiary hierarchies—privileging quantitative over qualitative, experimental over observational, published over experiential—as neutral, universal, and the only legitimate ways to know. The Bias of Neutral and Impartial Evidence ignores that what counts as evidence is shaped by power, that different domains require different kinds of evidence, and that Western evidence standards have been used to exclude marginalized knowers. It presents "evidence" as a pure category, erasing its politics. Those with this bias don't see their evidentiary standards as one tradition; they see them as evidence itself. Everyone else has anecdotes, stories, or bias.

"That's just anecdotal, not real evidence." Bias of Neutral and Impartial Evidence: treating quantitative data as the only evidence, dismissing experience, testimony, and qualitative research. The speaker never considered that for some questions, anecdotes are the only evidence available. Their evidence was just evidence; everything else was nothing."

by Dumu The Void March 8, 2026

Bias of Impartiality

A cognitive and metacognitive bias where individuals or institutions claim to occupy a position of pure impartiality—above the fray, free from bias, beyond politics—while systematically favoring certain perspectives, interests, or outcomes. The Bias of Impartiality is the belief that one can be truly impartial, that such a position is possible, and that one occupies it. It ignores that all knowledge, all judgment, all observation comes from somewhere—from a body, a history, a culture, a set of interests. The claim to impartiality is itself a move in a power game: it positions the speaker as neutral and everyone else as biased, without ever examining the speaker's own position. Judges claim impartiality while embodying the law's history of exclusion. Journalists claim impartiality while framing stories within dominant narratives. Scientists claim impartiality while working within paradigms shaped by funding, culture, and power. The Bias of Impartiality is not that we fail to be impartial; it's that we think we can be.

"I'm just being impartial, looking at the facts objectively." The judge said this while wearing robes that symbolize centuries of legal tradition, in a courtroom built on land stolen from indigenous peoples, applying laws written by property owners to protect property. Bias of Impartiality: the belief that one can stand nowhere while standing firmly on somewhere. Impartiality is not a position; it's a claim of power."

by Dumu The Void March 8, 2026