The Logic of Scientific Discovery - Deepstash

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KARL R. POPPER

In so far as a scientific statement speaks about reality, it must be falsifiable: and in so far as it is not falsifiable, it does not speak about reality

KARL R. POPPER

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Falsifiability: The Heart of Scientific Inquiry

The core of science is the ability to test and potentially disprove theories:

Scientific theories must be falsifiable

A theory that cannot be falsified is not scientific

Empirical testing is essential to scientific inquiry

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The Problem of Induction in Science

Inductive reasoning is inherently flawed:

  • Inductive reasoning makes broad conclusions based on specific observations
  • This it is not a reliable method of gaining knowledge.

Deduction is the main driver of scientific progress

  • Scientists do not rely on induction
  • Instead scientists make advances by testing daring hypotheses through deductive reasoning

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Deductive Testing: The Scientific Method in Action

The scientific method is a way of learning through predicting and testing hypotheses against observations:

  • Science advances by predicting from hypotheses
  • Testing against observations shows accuracy
  • Failed predictions revise hypotheses, leading to progress

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Distinguishing Science from Metaphysics

The demarcation problem distinguishes scientific theories from metaphysical ones based on testability:

  • Science must engage with empirical tests
  • Metaphysical theories lack empirical verifiability

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Simplicity in Science: Not Aesthetic, But Practical

The journey of a scientist is guided by practicalities, not aesthetics:

  • Simpler theories are not favored for their beauty
  • Theories are favored if they are easier to test and prove wrong
  • Simplicity is linked to a theory's ability to be falsified
  • The fewer assumptions, the easier the theory is to falsify

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Probability and Its Limits in Science

The concept of probability is used in science to describe the likelihood of events, but many caveats apply:

  • Probabilities are not guarantees, but rather estimates based on available evidence
  • A low probability estimate cannot be used to prove or disprove a theory on their own
  • Testing against empirical data is necessary to validate the utility of probabilities

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IDEAS CURATED BY

gbiondizoccai

Giuseppe Biondi-Zoccai is a renowned expert in cardiology, medical research methodology and evidence synthesis

CURATOR'S NOTE

Popper's masterpiece in epistemology is a must-read for all researchers and scientists as well as anyone interested in understanding how both research and science are being conducted thus shaping our present and future

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