Scientific Biases

Similar to Science Biases but emphasizing biases within scientific practice itself—the assumptions, preferences, and blind spots that scientists bring to their work. Scientific Biases include: theoretical bias (preferring data that fits your theory); methodological bias (preferring certain methods over others); career bias (pursuing publishable results over true ones); paradigm bias (resisting challenges to established frameworks). Scientific Biases are what Kuhn described—science isn't just data collection; it's human activity, with all the biases that entails.

Scientific Biases "He dismissed the findings because they didn't fit the dominant theory. That's Scientific Bias—paradigm protection dressed as rigor. Scientists are human; they have investments in theories, careers, reputations. Those investments bias what they see and what they accept. Good science acknowledges this; bad science pretends it doesn't happen."

by Dumu The Void March 1, 2026

Scientific Metabiases

Second-order biases within scientific practice—how scientists think about their own biases, methods, and assumptions. Scientific Metabiases include: believing that method eliminates bias rather than just channeling it; assuming peer review catches everything; treating replication as a cure-all rather than another site of bias; thinking that quantification ensures objectivity; believing that awareness of bias makes you immune. Scientific Metabiases are the blind spots in science's self-understanding—the ways scientists misrecognize their own practice.

Scientific Metabiases "We have peer review, so we're objective!" That's Scientific Metabias—confusing a process with a guarantee. Peer review has its own biases; it doesn't eliminate them. The metabias is thinking institutional procedures make you bias-free, when they just change where the bias lives. Science is human; metabias is forgetting that."

by Dumu The Void March 1, 2026

Scientific Hyperrealism

The belief that science doesn't just describe reality but constitutes it—that what science cannot measure does not exist, that scientific methods are the only path to knowledge, that scientific truths are the only truths. Scientific Hyperrealism is scientism on steroids: not just the view that science is valuable but that it's all that's valuable, not just that science works but that nothing else works. It dismisses art as decoration, philosophy as confusion, religion as delusion, experience as anecdote. It produces a world perfectly described and utterly impoverished—a map of everything and a territory of nothing.

Example: "He'd reduced beauty to brain states, meaning to evolutionary adaptations, love to chemical reactions. Scientific Hyperrealism had convinced him that what science couldn't measure wasn't real. When she showed him a sunset, he saw wavelengths and cones. She saw beauty. He was right; she was alive."

by Dumu The Void March 7, 2026

Scientific Sophism

The use of scientific language, authority, and prestige to defend positions that science doesn't actually support, or to dismiss valid concerns as "unscientific." Scientific Sophism invokes "science says" without citing studies, uses scientific vocabulary to impress rather than inform, and treats scientific consensus as infallible dogma when convenient. The scientific sophist is not a scientist; they're a performer of scientificality, using the cultural authority of science for rhetorical advantage.

"He kept saying 'science proves it' but couldn't name a single study. Scientific Sophism: invoking science's authority without science's evidence. The lab coat was rhetorical, not real. Science became a costume, not a method."

by Abzugal Nammugal Enkigal March 7, 2026

Scientific Postmodernism

The application of postmodern insights to scientific knowledge—the recognition that science is not a pure reflection of reality but a human construction, shaped by social, cultural, and political forces. Scientific Postmodernism doesn't deny that science produces reliable knowledge; it insists that this knowledge is always situated, always partial, always shaped by the conditions of its production. It critiques the notion of scientific objectivity as a view from nowhere, arguing that all science is done from somewhere, by someone, for some purpose. Scientific Postmodernism is the foundation of science studies, of feminist epistemology, of every approach that takes seriously the social dimensions of scientific knowledge. It's postmodernism for the lab, the field, the journal—a reminder that science is human, all too human.

Example: "He'd been trained to see science as pure, objective, above politics. Scientific Postmodernism showed him otherwise: research agendas shaped by funding, peer review shaped by networks, publication shaped by prestige. The science was still reliable, but it was also human—constructed, situated, partial. He stopped seeing scientists as priests and started seeing them as people."

by Dumu The Void March 8, 2026

Scientific Paradigms

The core concept from Kuhn: the frameworks of assumptions, methods, and standards within which normal science operates. Scientific Paradigms define what questions are worth asking, what methods are appropriate, what counts as evidence, what constitutes a solution. They're the invisible structures that make normal science possible—and that make revolutionary science so traumatic. Understanding Scientific Paradigms is essential for understanding how science actually works, not how it's idealized.

Example: "He'd thought science just accumulated facts. Scientific Paradigms showed him otherwise: facts were always facts-within-a-paradigm. When paradigms shifted, facts shifted too. Science wasn't a straight line; it was a series of revolutions."

by Abzugal March 9, 2026

Scientific Frameworks

The overarching structures of assumptions, methods, concepts, values, and practices that organize scientific inquiry within particular domains, eras, or communities. Scientific Frameworks are broader than paradigms—they include not just the theoretical commitments of a discipline but also its institutional arrangements, funding patterns, publication norms, and social relations. A framework determines what questions are worth asking, what methods are appropriate for answering them, what counts as evidence, what standards of proof are required, and what kinds of explanations are acceptable. Frameworks can span multiple paradigms—the Newtonian framework persisted through paradigm shifts within it; the Darwinian framework continues to evolve while maintaining core commitments. Understanding Scientific Frameworks is essential for grasping how science actually works: not as a pure logical enterprise but as a human institution shaped by history, culture, and power. Frameworks enable science by providing stability and shared understanding; they also constrain it by limiting what can be thought, asked, or seen.

Example: "He couldn't understand why his radical idea was rejected. Scientific Frameworks explained it: his proposal didn't fit the existing framework—it asked different questions, used different methods, assumed different values. It wasn't that his idea was wrong; it was that it was incommensurable with the framework that dominated his field. He had to either work within the framework or wait for a framework shift."

by Abzugal March 9, 2026