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Philosophy of Science — Key Points

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1. Central questions - What distinguishes science from non-science? (Demarcation problem) - How do scientific theories explain and predict phenomena? - What is the nature of scientific reasoning (induction, deduction, abduction)? - How do observation and theory interact (theory-ladenness of observation)? - What is the status of scientific knowledge (realism vs. anti-realism)? 2. Major positions - Scientific Realism: Best scientific theories approximately truthfully describe unobservable entities (Putnam, Boyd). - Instrumentalism/Anti-Realism: Theories are tools for prediction, not necessarily true descriptions (van Fraassen). - Constructivism and Social Epistemology: Scientific knowledge is shaped by social processes, values, and institutions (Kuhn, Latour). - Structuralism and Model-Based Views: Science advances via models and structures rather than literal true statements (Suppe, Cartwright). 3. Methodology and reasoning - Induction: Generalizing from observations—problem of justifying induction (Hume). - Falsificationism: Popper’s idea that theories are scientific if falsifiable; emphasizes bold conjectures and refutations. - Bayesianism: Probabilistic updating of belief based on evidence. - Lakatos’ Research Programmes: Science progresses through competing research programmes with heuristics and protective belts. 4. Explanation and laws - Covering-law model: Explanations subsume phenomena under general laws (Hempel). - Causal/mechanistic accounts: Explanations cite causes or mechanisms producing phenomena (Salmon, Craver). - Pragmatic and pluralist views: Multiple types of explanation depending on context. 5. Values, objectivity, and ethics - Science aims for objectivity, but choices about methods, significance, and application involve epistemic and non-epistemic values. - Responsible research requires transparency, reproducibility, and ethical reflection. 6. Contemporary issues - Replication crisis and reliability of findings. - Role of models, simulations, and big data. - Science policy, public trust, and science communication. Further reading (concise) - Peter Godfrey-Smith, Theory and Reality (2003) - Karl Popper, The Logic of Scientific Discovery (1959) - Thomas Kuhn, The Structure of Scientific Revolutions (1962) - Bas van Fraassen, The Scientific Image (1980) If you want, I can explain any one of these points in more detail or compare specific positions (e.g., realism vs. van Fraassen).

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Karl Popper — The Logic of Scientific Discovery (1959)

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Karl Popper’s The Logic of Scientific Discovery argues that the central demarcation between science and non-science is falsifiability: a theory is scientific only if it makes bold, testable predictions that could, in principle, be refuted by observation or experiment. Popper rejects inductivism (the idea that science proceeds by accumulating confirmed observations to establish universal laws). Instead he proposes conjectures and refutations: scientists propose tentative hypotheses and subject them to severe tests; surviving hypotheses are corroborated but never finally proven. Progress consists in replacing less adequate theories with better ones that explain anomalies. Popper also emphasizes the logical asymmetry between verification and falsification (no number of positive instances can conclusively verify a universal law, but a single counterinstance can falsify it) and criticizes ad hoc adjustments that immunize theories from refutation. Key influences include his focus on critical rationalism, the role of theory in observation, and his skepticism about probability-based confirmations. Suggested further reading: Popper, K. R. (1959/2002) The Logic of Scientific Discovery; also Lakatos’ "Research Programmes" and Kuhn’s "Structure of Scientific Revolutions" for contrasting views.

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