Biased Placebo Bias

A flaw in experimental design where the so-called "placebo" or control condition isn't truly neutral or inert, but instead contains hidden factors that skew the results. This bias invalidates comparisons because the baseline isn't a clean zero; it's already tilted. Common in psychology and medicine, it happens when researchers don't account for the placebo's own effects—like the color of a pill, a practitioner's demeanor, or the simple act of receiving any attention—which can exaggerate or mask the real treatment's impact. It's building your scientific house on a crooked foundation.

Example: A study on an herbal "mood-booster" uses a placebo pill made of plain sugar. But if participants can taste/smell the distinct herbs in the real pill, the placebo isn't blind. The Biased Placebo Bias occurs: the "control" group knows they didn't get the real thing, potentially depressing their reported mood and making the herbal pill seem more effective than it is.

by Dumu The Void February 4, 2026

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.

by Abzugal Nammugal Enkigal February 4, 2026

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.

by Dumu The Void February 9, 2026

Bias of Everything

The paralyzing, often disingenuous, insistence that because all perspectives are inherently biased (by culture, experience, etc.), no perspective can claim superior footing for understanding reality. This "meta-bias" is used to create false equivalence, arguing that since a historian and a conspiracy theorist both have biases, their claims deserve equal weight. It mistakes the universal condition of situatedness for the negation of rigor, evidence, or truth-seeking.

Example: In a climate debate, someone dismisses the IPCC's decades of peer-reviewed research by saying, "Your scientists are biased by grant money. My oil-funded blogger is biased too. It's all just bias. Nobody can know." The bias of everything argument is a thought-terminating cliché that elevates skeptical parity over the vast differentials in evidence, methodology, and reliability.

by Dumu The Void February 9, 2026

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

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