Week 2 - Language of Science Flashcards
Enlightenment: Rationalism & Empiricism
The Enlightenment, led by Immanuel Kant, emphasised independent thinking.
- This era separated science from religion, rejecting the bible as a source of knowledge.
Rationalism (Innate Knowledge + Deduction)
- argues that some knowledge exists a priori (before experience)
- e.g. we understand causality without direct observation
Empiricism (Observation + Induction)
- argues that all knowledge comes from sensory experience
Key Types of Knowledge:
- Analytic a priori: true by definition
- Synthetic a priori: not just based on definitions but also reasoning
Positivism as an Extreme Form of Empiricism
Positivism (Auguste Comte)
- only empirical (observed) knowledge is scientific
- dismisses anything that cannot be verified through observation, including metaphysical ideas (e.g. god)
Logical Positivism (Vienna Circle, post-WWI)
- aims to replace religion with science
- verification as its central principle: only statements that can be tested through observation are meaningful
- structures knowledge using logic + observation to avoid metaphysics
- critiques: it ignores unobservable causes
- induction problem: relying only on past observations to predict the future is unreliable
Logical Positivism & System of Knowledge
Logical Positivism Categorises Statements:
- logical nonsense (contradictions, e.g. “square ball”)
- analytic statements (true by logic, e.g. “a circle is round”)
- metaphysical statements (cannot be tested, e.g. “god exists”)
- empirical/synthetic statements (verifiable, e.g. “water boils at 100°C”)
Core Principles:
- logical reducibility: all scientific statements must be reduced to direct observations
- unity of science ideal: all knowledge should fit into one structured system, using logic to connect different sciences (math, physics, psychology, etc)
Grand Theories of Knowledge
Before Logical Positivism, three main epistemologies existed:
- Rationalism
- thinking = knowledge, observations are unreliable
- strength: logical consistency
- weakness: lacks empirical proof - Empiricism
- only observations = knowledge
- strength: based on experience
- weakness: cannot observe causality or theoretical laws - Idealism
- knowledge = thinking + observing
- strength: combines experience and reasoning
- weakness: unclear where the structure ideas come from
The Induction Problem
Induction is the opposite of Deduction.
Deduction: deriving specific conclusions from general laws
- e.g. major premise: all humans are mortal
- minor premise: Socrates is a human
- conclusion: Socrates is mortal
- deductive reasoning is logically valid, even if premises are false
Induction: deriving general laws from specific observation
- e.g. visiting hundreds of houses with red roses and concluding that all roses are red (which is false)
Positivist View on Induction
- if a characteristic is repeatedly observed in a phenomenon, it is probable that this applies generally
- however, inductive reasoning does not guarantee certainty (e.g. three bad experiences with Teslas do not prove all Teslas are bad
- conclusion: induction alone is unreliable, scientific knowledge progresses by mixing induction (hypothesis generation) and deduction (testing and refining theories)
2 Challenges Logical Positivism Faces
- Theoretical Concepts
- some key scientific concepts cannot be directly
- concepts have: - intention (theoretical meaning)
- defines a concept through properties - extension (empirical meaning)
- refers to real-world examples of the concept - Concept Structures in Social Science
- reflective concepts: a concept determines its properties (e.g. firm performance -> growth, profit)
- formative concepts: properties define the concept (e.g. democracy -> free elections)
- many social science are subjective and difficult to measure
Pragmatic Concession:
- theoretical concepts are accepted in science if they:
1. explain observations beyond surface-level facts
2. generate new testable hypotheses
Problem 2: Induction
Science allows induction, but distinguishes between:
- true statements (deductively proven)
- likely true statements (inductive generalisations)
2 Models of Truth
- The Correspondence Theory of Truth
- a claim is true if it accurately reflects reality
- weakness: hard to verify complex theoretical claims (e.g. economic recessions last a maximum of 10 years)
3 criteria for strong theoretical concepts:
1. Robustness: applicable in multiple contexts
2. Fit: consistent with existing theories
3. Predictability: generates reliable predictions
- The Coherence Theory of Truth
- truth is supported by multiple interrelated factors
- avoids the induction problem by relying on a network of data, reasoning, and evidence rather than isolated observations
The Standard Model of the Sciences
- Coherence & the Empirical Cycle
- science progresses through cycles of induction (hypothesis formation) and deduction (testing and refinement)
- logical positivism adjusts to allow theoretical concepts and inductive reasoning, provided they contribute to knowledge growth - Theories & Scientific Explanation
- theories explain why observations occur
- their value lies in their ability to explain both current and future phenomena