Week 2 - Language of Science Flashcards

1
Q

Enlightenment: Rationalism & Empiricism

A

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

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2
Q

Positivism as an Extreme Form of Empiricism

A

Positivism (Auguste Comte)
- only empirical (observed) knowledge is scientific
- dismisses anything that cannot be verified through observation, including metaphysical ideas (e.g. god)

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3
Q

Logical Positivism (Vienna Circle, post-WWI)

A
  • 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
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4
Q

Logical Positivism & System of Knowledge

A

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)

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4
Q

Grand Theories of Knowledge

A

Before Logical Positivism, three main epistemologies existed:

  1. Rationalism
    - thinking = knowledge, observations are unreliable
    - strength: logical consistency
    - weakness: lacks empirical proof
  2. Empiricism
    - only observations = knowledge
    - strength: based on experience
    - weakness: cannot observe causality or theoretical laws
  3. Idealism
    - knowledge = thinking + observing
    - strength: combines experience and reasoning
    - weakness: unclear where the structure ideas come from
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5
Q

The Induction Problem

A

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)

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6
Q

Positivist View on Induction

A
  • 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)
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7
Q

2 Challenges Logical Positivism Faces

A
  1. Theoretical Concepts
    - some key scientific concepts cannot be directly
    - concepts have:
  2. intention (theoretical meaning)
    - defines a concept through properties
  3. extension (empirical meaning)
    - refers to real-world examples of the concept
  4. 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

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8
Q

Problem 2: Induction

A

Science allows induction, but distinguishes between:
- true statements (deductively proven)
- likely true statements (inductive generalisations)

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9
Q

2 Models of Truth

A
  1. 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

  1. 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
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10
Q

The Standard Model of the Sciences

A
  1. 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
  2. Theories & Scientific Explanation
    - theories explain why observations occur
    - their value lies in their ability to explain both current and future phenomena
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