A philosophical framework holding that formal reality is rich enough to sustain multiple, irreducible perspectives—different logical systems, different foundations for mathematics, different programming paradigms, different models of computation. Multiperspectivism rejects the idea that there is one true formal system. Classical logic, intuitionistic logic, and paraconsistent logic are different perspectives on reasoning; Turing machines, lambda calculus, and cellular automata are different perspectives on computation. This framework demands that formal scientists be pluralists, recognizing that their domain is defined by its multiplicity, not despite it.
Example: "Her multiperspectivism of the formal sciences meant she taught students not just one programming paradigm, but functional, object-oriented, logic, and concurrent—not because they'd use all, but because each perspective on computation deepens understanding."
by Dumu The Void March 20, 2026
Get the Multiperspectivism of the Formal Sciences mug.A cognitive and cultural bias where science is elevated to the status of a religion—treated as an infallible authority, a source of ultimate meaning, and a substitute for traditional spiritual frameworks. It manifests in language (“thank science” instead of “thank God”), in rituals (treating scientific consensus as dogma), and in the sacralization of scientists as high priests. The bias isn’t about respecting science; it’s about worshiping it, often by people who consider themselves secular while reproducing the structure of faith. It replaces “God” with “Science” but keeps the deference, the intolerance of heresy, and the promise of salvation through knowledge. The “Oh My Science” Bias makes science a religion while denying it’s doing so.
"Oh My Science" Bias Example: “When she heard the vaccine news, she literally said ‘Oh my science’—and meant it as a prayer. The bias had quietly made science her religion without her noticing.”
by Abzugal Nammugal Enkigal March 23, 2026
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A subfield of anthropology that studies scientific communities as cultures—examining their social structures, belief systems, rituals, and material practices. It treats science as a human endeavor, not a transcendent method, and uses ethnographic methods to understand how scientists actually work, how knowledge is produced in labs, and how scientific authority is constructed. The anthropology of science reveals that science is as much about social negotiation, career incentives, and cultural assumptions as it is about empirical evidence. It demystifies the “science” as a monolithic entity by showing the rich, messy human activity behind it.
Example: “The anthropology of science classic, Laboratory Life, showed that even in a biochemistry lab, ‘facts’ were built through argument, reputation, and negotiated agreement—not simply discovered.”
by Abzugal Nammugal Enkigal March 23, 2026
Get the Anthropology of Science mug.A field of inquiry that studies science as a quasi‑religious system—its mythology, its creation stories (the Big Bang, evolution), its eschatology (technological singularity, space colonization), its moral codes (efficiency, progress), and its pantheon of heroes (Newton, Einstein, Darwin). The theology of science treats the narratives and rituals of science as analogous to those of traditional religions, analyzing how science provides meaning, organizes communities, and demands allegiance. It does not dismiss science but rather asks: how does science function as a belief system, and what does that reveal about both science and religion?
Example: “The theology of science course examined how the myth of the lone genius in a garage (Steve Jobs, Elon Musk) serves the same cultural function as saints’ hagiographies—providing origin stories and moral exemplars.”
by Abzugal Nammugal Enkigal March 23, 2026
Get the Theology of Science mug.A meta-scientific framework proposing that science must be radically open about its processes, assumptions, limitations, and internal workings—not merely its final results. It demands that researchers disclose funding sources, methodological choices, raw data, analytical decisions, and even failures. The theory argues that without such transparency, science risks becoming a black box of authority rather than a self‑correcting enterprise. It underpins movements like open science, preregistration, and data sharing, treating opacity as a threat to epistemic integrity.
Example: “The replication crisis pushed the theory of scientific transparency into practice: journals now require raw data and analysis scripts, forcing researchers to show their work, not just their conclusions.”
by Abzugal Nammugal Enkigal March 24, 2026
Get the Theory of Scientific Transparency mug.The integration of computational methods—big data, social network analysis, machine learning—with traditional social science frameworks to study digital phenomena. Digital social sciences analyze platform data, scrape online communities, and build models of information diffusion, political polarization, and economic inequality in the digital sphere. It emphasizes methodological innovation while retaining critical social theory, using digital traces to understand offline power structures and vice versa.
Example: “Digital social sciences combined natural language processing with ethnography to map how far‑right networks used encrypted messaging apps to coordinate, revealing hidden infrastructures of extremism.”
by Abzugal Nammugal Enkigal March 24, 2026
Get the Digital Social Sciences mug.The intersection of digital methods with humanities inquiry: digital archives, computational text analysis, digital storytelling, and critical platform studies. It uses computational tools to ask humanistic questions—about meaning, interpretation, history, culture—while remaining attentive to the limitations of algorithmic analysis. Digital human sciences also critically examine the human impact of digital technologies, including algorithmic bias, digital labor, and the cultural politics of data.
Example: “Her digital human sciences project used text mining on centuries of colonial correspondence to visualize how bureaucratic language shaped the administrative imaginary of empire, blending computational scale with interpretive depth.”
by Abzugal Nammugal Enkigal March 24, 2026
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