Falsifiability in Science

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Questions and Answers

What is the value of law-like hypotheses to the empirical scientist?

  • More valuable as they are easier to confirm
  • Less valuable as they are harder to confirm
  • Less valuable due to being harder to falsify
  • More valuable due to being easier to falsify (correct)

Which type of hypothesis is easier to confirm, according to the text?

  • Law-like hypotheses
  • Statistical hypotheses (correct)
  • Empirical hypotheses
  • Predictive hypotheses

What is the primary benefit of falsifiability to the empirical scientist?

  • Helps in confirming theories as true
  • Ensures certainty in all scientific theories
  • Allows for certainty when a theory is proven correct
  • Provides certainty when a theory is proven false (correct)

According to Dr. Nancy Myles Gyamfi, what makes statistical hypotheses less valuable than law-like hypotheses?

<p>Their falsifiability (A)</p> Signup and view all the answers

Which type of generalizations are considered most valuable to the empirical scientist according to Dr. Nancy Myles Gyamfi?

<p>Law-like generalizations (C)</p> Signup and view all the answers

Why are law-like hypotheses more valuable than statistical hypotheses for the empirical scientist?

<p>Because they are easier to falsify (B)</p> Signup and view all the answers

What is the significance of being testable for scientific statements?

<p>Allows for the possibility of being true or false (D)</p> Signup and view all the answers

What makes theoretical falsification more valuable compared to theory confirmation?

<p>Allows for future modification and improvement of theories (B)</p> Signup and view all the answers

Which type of generalizations provide less value to the empirical scientist according to the text?

<p>Statistical generalizations (D)</p> Signup and view all the answers

In terms of confirmability and value, what is the relationship between law-like and statistical hypotheses?

<p>Law-like have more value due to ease of confirmation, statistical have less value due to difficulty in confirming (C)</p> Signup and view all the answers

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Study Notes

Key Concepts in Scientific Inquiry

  • Uncertainty is fundamental in science, encouraging re-evaluation of findings.
  • Pseudo-scientific statements cannot be falsified and are not scientifically valid.
  • Tautological statements, such as "Tomorrow it will rain or it will not rain," are always true but lack empirical content.

Falsifiability and Scientific Statements

  • Falsifiability is essential for a statement to be considered scientific; it must be capable of being proven false.
  • Verifiable or confirmable statements are testable and thus deemed scientific.

Empirical Content and Predictive Power

  • Statements with greater generality possess higher empirical content, enhancing their predictive power.
  • The greater the predictive power, the easier it is to falsify a statement, increasing its scientific value.

Hierarchy of Statements

  • Universal generalizations rank highest in empirical content, followed by statistical generalizations, and then particular statements.
  • Pseudo-scientific statements lack empirical content and predictive power, rendering them non-falsifiable.

Distinguishing Statements by Falsifiability

  • Valuable empirical information must be falsifiable to qualify as scientific.
  • Non-falsifiable statements cannot be confirmed or verified; they lack empirical content.
  • Statements considered absolutely true are essentially pseudo-scientific.

Comparison of Statements

  • Higher empirical content is associated with broader generalizations and laws, such as "The Earth's orbit around the sun is elliptical."
  • Statement tests illustrate differences in predictive power and falsifiability:
    • "Heavy smokers are prone to cancer" has more predictive power than "That heavy smoker is prone to cancer."
    • Statements like "Either that heavy smoker is prone to cancer or he is not" are tautologous and lack empirical content.

Practice in Evaluating Statements

  • Questions prompt analysis of empirical content, predictive power, and scientific validity.
  • Ability to distinguish between scientific, pseudo-scientific, and verifiable statements is vital for understanding scientific reasoning.

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