Benjamin Meixner, 12302260
1. Distinction in Hume’s Enquiry
a) Relations of Ideas
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Definition: “Relations of ideas” refer to a type of knowledge that is intuitively or demonstrably certain. These truths are not dependent on empirical observation and are known through reason alone.
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Examples:
- “2 + 2 = 4” — A fundamental arithmetic truth.
- “All bachelors are unmarried men” — A logical statement that is true by definition.
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Questions: i) Are relations of ideas independent of us?
- Yes, they are independent of human experience; their truth is self-evident through logic.
ii) How are they known?
- They are known through logical deduction and reasoning, devoid of empirical validation.
iii) Does the negation or denial of statements about relations of ideas lead to a contradiction?
- Yes, negating these truths leads to contradictions, as they are intrinsically true.
b) Matters of Fact
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Definition: “Matters of fact” are statements contingent upon empirical observation. They rely on experiential data to assert their truth.
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Examples:
- “The sun rises in the east.”
- “It is raining today.”
2. Foundation for Reasoning About Matters of Fact
- According to Hume, the foundation for all reasoning about matters of fact is the relation of cause and effect.
a) Example of Reasoning
- Example: If one finds a watch on a deserted island, one might infer that it was left there by a shipwrecked individual.
- Assumption: Hume suggests that we assume a past event caused the presence of the watch.
b) Causal Relationships and Deduction
- Causal relationships cannot be proven solely through deduction. Hume argues that necessary connections between events require empirical observation.
3. Justification of Causal Relations
- Hume contends that it is impossible to justify beliefs in causal relations because they rely on empirical observation, rather than logical necessity.
a) Examples Illustrating Causality
- Fire and Heat: The presence of fire produces heat.
- Motion and Object: A ball moves when it is pushed.
- Eating and Nourishment: Consuming food results in the feeling of nourishment.
b) Observation and Causal Relations
- Hume maintains that causality cannot be established through observation alone; we can only identify correlations, not necessary connections.
4. Induction and Inference
a) Deduction vs Induction
- Deduction: Reasoning from general principles to specific instances.
- Induction: Reasoning from specific instances to general principles.
- Induction is often viewed as a valid inference form when assuming the uniformity of nature. However, Hume critiques the justification of induction.
b) Patterns of Inductive Inference
- Patterns include:
- Generalizing from Sample to Population: Inducing that all swans are white based on observing a specific white swan population.
- Causal Inference: Concluding that smoke causes fire when smoke is frequently observed alongside fire.
- Statistical Correlations: Assuming that high coffee consumption leads to increased alertness based on observed trends.
5. Correlation Without Causation
a) Examples of Mistaken Causal Connections
- Increased ice cream sales correlated with higher drowning incidents during the summer months—both occur simultaneously, but one does not cause the other.
- Higher education levels correlate with higher income, yet education alone does not guarantee greater earnings.
- An individual carrying an umbrella correlates with rain; however, carrying the umbrella does not cause the rain.
b) Phillips Curve Discussion
- The Phillips Curve presents a correlation between inflation and unemployment rates.
- Prediction Basis: It suggests that a decrease in unemployment correlates with an increase in inflation.
- Foundation of Prediction: The prediction relies on historical data, invoking inductive reasoning. However, there is considerable debate regarding whether this correlation implies a causal relationship.