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Scientific Biases

The broad range of systemic and cognitive prejudices that distort the practice of science. These include publication bias, funding bias, cultural bias in peer review, and theory-ladenness of observation. They ensure that science is not a perfectly objective mirror of nature, but a human institution whose outputs are shaped by social, economic, and psychological forces.
Scientific Biases Example: For decades, Scientific Bias against female physiology meant that heart disease was studied almost exclusively in male subjects, leading to diagnostic criteria and treatments that were less effective for women. The bias was embedded in what was considered a "standard" research subject.
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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."

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."

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."
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