Scientific Literacy Biases

The collection of biases that arise from having some scientific literacy without sufficient depth, nuance, or contextual understanding—enough knowledge to sound authoritative, not enough to actually evaluate claims properly. Scientific Literacy Biases include: overgeneralizing from one study to universal truth, mistaking introductory textbook knowledge for expertise, treating simplified explanations as complete accounts, assuming one's lay understanding trumps expert consensus, and using scientific-sounding language to lend credibility to unscientific claims. These biases are particularly dangerous because they look like genuine scientific literacy—the person can cite studies, use terminology, reference concepts—but the literacy is just deep enough to be confidently wrong.

Scientific Literacy Biases Example: "He'd read a pop-science book on neuroscience and now thought he could dismiss decades of clinical psychology—classic Scientific Literacy Bias, enough knowledge to be dangerous, not enough to know he was dangerous."

by Dumu The Void March 13, 2026

Scientific Method Biases

The collection of biases that distort how the scientific method is understood, applied, and evaluated—not biases within science, but biases about the scientific method itself. These include: treating the method as a rigid, unvarying procedure rather than a flexible set of practices; assuming all sciences use identical methods; believing the method guarantees truth rather than reducing error; mistaking the idealized textbook description for the messy reality of actual scientific practice; and using "the scientific method" as a cudgel to dismiss any inquiry that doesn't match one's narrow conception of it. Scientific Method Biases are the meta-cognitive errors that prevent people from understanding how science actually works.

Scientific Method Biases Example: "He dismissed an entire field as 'unscientific' because it didn't use double-blind randomized controlled trials—his Scientific Method Bias made him mistake one field's methods for the universal template of all science."

by Dumu The Void March 13, 2026

Objective Truth Biases

The collection of biases that cluster around the concept of "objective truth"—the tendency to treat one's own perspective as uniquely objective, to assume that objectivity requires the absence of perspective rather than the rigorous examination of it, to mistake culturally-shaped standards for universal ones, and to use "objectivity" as a weapon against views one dislikes while exempting one's own. These biases include: treating quantification as inherently more objective than qualitative description; assuming that numbers don't lie (while ignoring how they're collected, interpreted, and presented); believing that one's own cultural position is the "view from nowhere"; and using "objective truth" to dismiss the legitimacy of other ways of knowing.

Example: "His Objective Truth Biases meant he thought his perspective was simply 'reality' while everyone else had 'opinions'—he didn't see his own cultural assumptions as assumptions at all."

by Dumu The Void March 13, 2026

Pansexual (abscess addiction based stimulant)

What I call homo-sapiens who are addicted to abscesses.

Person 1: Are you addicted to abscesses?
Person 2: Yes.
Person 1: Pansexual (abscess addiction based stimulant)

by LeSouffleDeVersailles January 21, 2025

The Egyptian Horoscope Is Based Off Elephants

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The Egyptian Horoscope Is Based Off Elephants

by Angel234IsTheDarkSeraphim March 16, 2025

Coding Artistry Escape Based Prayer: "'If THat Is Your Significant Other Then Let Me Haunted House'"

Coding Artistry Escape Based Prayer: "'If THat Is Your Significant Other Then Let Me Haunted House'"

Coding Artistry Escape Based Prayer: "'If THat Is Your Significant Other Then Let Me Haunted House'"

by Angel234IsTheDarkSeraphim April 14, 2025

Law of Absolute and Relative Biases

The principle that bias operates in two modes: absolute bias (distortions that are always and everywhere problematic) and relative bias (perspectives that are problematic in some contexts but valuable in others). The law acknowledges that some biases are universally harmful—racism, sexism, any distortion that systematically harms based on irrelevant characteristics. Other biases are context-dependent—a researcher's commitment to a theory can bias their interpretation (bad) or drive productive inquiry (good). The law of absolute and relative biases reconciles the need to reduce harmful bias with the recognition that complete bias-freedom is impossible and that some "biases" are just perspectives.

Law of Absolute and Relative Biases Example: "He accused her of bias because she approached the topic from her cultural background. She invoked the law of absolute and relative biases: some biases are universally harmful (she wasn't expressing those), others are just perspective (her cultural lens was inevitable, not malicious). The question wasn't whether she had bias—everyone does—but whether her bias was distorting or merely situating."

by Abzugal February 16, 2026