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Scientific Realism
Brian Galvin
Kevin Bernhardt
Troy Buckner
What is scientific realism?
• Positive epistemic attitude towards the content
of our best scientific theories and models
• Basically, it‟s the idea that science, although not
perfect, is doing a decent job of explaining the
world
Observable vs. Unobservable
• Observable – things that can be perceived by our
unaided senses (planets, platypuses)
• Unobservable – cannot be perceived by our
unaided senses (proteins, protons, etc.)
• Scientific realism does not discriminate between
the two
Varying Definitions
• Most define scientific realism in terms of the
truth or approximate truth of scientific theories
or certain aspects of theories
• Some define it in terms of the successful
reference of theoretical terms to things in the
world, both observable and unobservable
• Others define it not in terms of truth or
reference, but in terms of belief in the ontology
of scientific theories.
What do they have in common?
• A commitment to the idea that our best theories
have a certain epistemic status
• They yield knowledge of aspects of the world,
including unobservable aspects.
What is a scientific realist?
• Someone who believes that science aims to
produce true descriptions of things in the world
Three Dimensions of Realist
Commitment
• Metaphysical – idea that the world exists outside
of our minds
• Semantic – literal interpretation of scientific
claims made about the world. Any claims should
be stated as fact, whether true or not.
• Epistemological – theoretical claims constitute
knowledge of the world
What does scientific realism mean?
• Our best scientific theories give true or
approximately true descriptions of observable
and unobservable aspects of a mindindependent world
Qualifications and Variations
• What theories should realists be realist about?
• Many of our theories are likely false in the
strictest sense, but they might be very close to
true
Maturity of theories
• Theories suitable for realist commitment are
called “mature”
• Came from a well-established field
• Has been around a while
• Has survived scrutiny and scientific testing
• The more mature, the greater the commitment
from realists
• Realists believe that as science develops over
time, theories converge closer to truth
Three Variations of Realism
• Explanationist – reserves greatest commitment
to components of a theory that are indispensible
to explaining their empirical success
• Entity – causal knowledge of an unobservable
entity is enough to support realism regarding it
• Structural – One should be a realist because of
the physical structure of things, not because of
descriptions of their nature
Considerations in Favor of Scientific
Realism (and Responses)
• 1. The Miracle Argument:

▫ Best theories are extremely successful.
▫ Why?
▫ Realist: Because they are true! If not, it must be a miracle that
they work so well.

• Rebuttal: Why do we need an explanation of success?
▫ Theories = Well-adapted organisms

• What makes a particular theory successful (not just in
general)?
▫ Identify specific features, explanation of unobservables

• Base rate fallacy

▫ If a theory is successful, we cannot claim it as true since we do not
know the base rate of true theories (could be a false positive)
Considerations in Favor of Scientific
Realism (and Responses)
• 2. Corroboration
▫ Unobservables detected through multiple techniques.
▫ Light vs.
▫ electron microscopy

• Rebuttal: Intention of reproducing existing output.
Considerations in Favor of Scientific
Realism (and Responses)
• 3. Selective Optimism/Skepticism
▫ A. Explanationism
 Focus on parts of theories worthy of realist
commitment
 True theoretical components survive and live in
current theories
 Problem: Realists must provide a objective
measure to pick out crucial parts, not post-hoc.
Considerations in Favor of Scientific
Realism (and Responses)
▫ B. Entity Realism
 The more you can manipulate the unobservable and
produce predicted outcomes, the more believable a
theory is.
 Entity Realist: Belief of entity vs. belief of theory
describing it – 2 different things. Disputed claim...

▫ C. Structural Realism
 Epistemic view: Describes relationships between
unobservables, not their nature.
 Ontic view: Knowledge of unobservables‟ structure.
 Problem: Can you know structure without
relationships?
Considerations Against Scientific
Realism (and Responses)

Fish caught

• Underdetermination of Theory by Data
▫ Hypotheses (i.e. testable predictions) cannot stand
alone – they require “auxiliary” assumptions.
▫ Hypothesis = incorrect. Error may not exist in claim,
per se
▫ Problem to Realists:
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Considerations Against Scientific
Realism (and Responses)
... Underdetermination of Theory by Data

• Rebuttal: Realism rely on two explanations:
▫ A “wait and see” mentality
▫ Data is apt to change over time
Considerations Against Scientific
Realism (and Responses)
• Skepticism about Inference to the Best
Explanation

▫ Realist: Although many theories exist, one will have
explanatory superiority (i.e. provide the “best”
explanation)
▫ But will this thinking yield knowledge?
▫ 2 problems:
 A. How to judge theories in relation to being true
(criteria and meaning)
 B. “Best of a bad lot” argument

• Rebuttal: The “best of a bad lot” may still describe
unobservables in a way to meet standards of
realism....
Considerations Against Scientific
Realism (and Responses)
• The Pessimistic Induction
▫ If most previous theories are false, so are current
ones!

• Rebuttal:
▫ Considering only the mature theories.
▫ Base rate fallacy
▫ A few good examples should lead antirealists to
reconsider....
Considerations Against Scientific
Realism (and Responses)
• Skepticism about Approximate Truth
▫ Abstraction and idealization seen in even our best
theories.....
▫ Gradually converging on truth – theories are open
to improvement
▫ Problem: Defining approximate truth
 Formally: Comparing true/false
consequences, world‟s approach, type hierarchy
approach
 Informally: “theories build on „limiting cases‟ from
their predeccesors”
Antirealism -

Realism vs. the ism’s

• Any position apposed to Realism
via one or more of the following
▫ Mind is not independent of reality
▫ Theories may not be interpreted literally
▫ Theories may not constitute knowledge of
observable and unobservable
Realism vs. the ism’s
• Empiricism
▫ Doesn't like the idea that one can gain knowledge
of the unobservable
▫ This position believes knowledge can only be
acquired through experience.
Realism vs. the ism’s
• Constructive Empiricism
▫
▫
▫

▫

(Sometimes referred to as Instrumentalism)
Van Fraassens revision of Empiricism
A more realistic view – not as picky
Can believe theories that include the unobservable
only if nothing is concluded about the
unobservable
Still kind of picky and still antirealism
Realism vs. the ism’s
• Historicism
▫ Two concepts can only be understood in correctly
historicized manner - from the perspectives of the
paradigms in which they occur
▫ Kuhn brought this ism about with “The Structure
of Scientific Revolutions”

▫ Antirealism due to mind not existing independent
of the world
Realism vs. the ism’s
• Social Constructivism
▫ States any knowledge generating process is
influenced by social factors
▫ SSK - sociology of scientific knowledge – studies
the social aspects of how science studies the world
▫ Because all knowledge is influenced by social
factors, the mind is not independent of reality
Realism vs. the ism’s
• Pragmatism & Quietism
▫ Does anyone really know?
▫ Dialectical Paralysis – too many isim‟s
▫ Quietism states that nothing sensible can be said.
Wittgenstein

▫ The competition between isim‟s causes a problem
within its self
Realism & the ism’s vs. NOA
• NOA – Natural Ontological Attitude
▫ A compromise of the core common realist and
antirealist theories

▫ NOA argues neither realism or antirealism is tenable
▫ Are disputes between realism and antirealism
resolvable? No because all positions come with their
own rules
▫ But this exercise in futility does lead to a great deal of
insight of how knowledge comes about

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Scientific Realism

  • 1. Scientific Realism Brian Galvin Kevin Bernhardt Troy Buckner
  • 2. What is scientific realism? • Positive epistemic attitude towards the content of our best scientific theories and models • Basically, it‟s the idea that science, although not perfect, is doing a decent job of explaining the world
  • 3. Observable vs. Unobservable • Observable – things that can be perceived by our unaided senses (planets, platypuses) • Unobservable – cannot be perceived by our unaided senses (proteins, protons, etc.) • Scientific realism does not discriminate between the two
  • 4. Varying Definitions • Most define scientific realism in terms of the truth or approximate truth of scientific theories or certain aspects of theories • Some define it in terms of the successful reference of theoretical terms to things in the world, both observable and unobservable • Others define it not in terms of truth or reference, but in terms of belief in the ontology of scientific theories.
  • 5. What do they have in common? • A commitment to the idea that our best theories have a certain epistemic status • They yield knowledge of aspects of the world, including unobservable aspects.
  • 6. What is a scientific realist? • Someone who believes that science aims to produce true descriptions of things in the world
  • 7. Three Dimensions of Realist Commitment • Metaphysical – idea that the world exists outside of our minds • Semantic – literal interpretation of scientific claims made about the world. Any claims should be stated as fact, whether true or not. • Epistemological – theoretical claims constitute knowledge of the world
  • 8. What does scientific realism mean? • Our best scientific theories give true or approximately true descriptions of observable and unobservable aspects of a mindindependent world
  • 9. Qualifications and Variations • What theories should realists be realist about? • Many of our theories are likely false in the strictest sense, but they might be very close to true
  • 10. Maturity of theories • Theories suitable for realist commitment are called “mature” • Came from a well-established field • Has been around a while • Has survived scrutiny and scientific testing • The more mature, the greater the commitment from realists • Realists believe that as science develops over time, theories converge closer to truth
  • 11. Three Variations of Realism • Explanationist – reserves greatest commitment to components of a theory that are indispensible to explaining their empirical success • Entity – causal knowledge of an unobservable entity is enough to support realism regarding it • Structural – One should be a realist because of the physical structure of things, not because of descriptions of their nature
  • 12. Considerations in Favor of Scientific Realism (and Responses) • 1. The Miracle Argument: ▫ Best theories are extremely successful. ▫ Why? ▫ Realist: Because they are true! If not, it must be a miracle that they work so well. • Rebuttal: Why do we need an explanation of success? ▫ Theories = Well-adapted organisms • What makes a particular theory successful (not just in general)? ▫ Identify specific features, explanation of unobservables • Base rate fallacy ▫ If a theory is successful, we cannot claim it as true since we do not know the base rate of true theories (could be a false positive)
  • 13. Considerations in Favor of Scientific Realism (and Responses) • 2. Corroboration ▫ Unobservables detected through multiple techniques. ▫ Light vs. ▫ electron microscopy • Rebuttal: Intention of reproducing existing output.
  • 14. Considerations in Favor of Scientific Realism (and Responses) • 3. Selective Optimism/Skepticism ▫ A. Explanationism  Focus on parts of theories worthy of realist commitment  True theoretical components survive and live in current theories  Problem: Realists must provide a objective measure to pick out crucial parts, not post-hoc.
  • 15. Considerations in Favor of Scientific Realism (and Responses) ▫ B. Entity Realism  The more you can manipulate the unobservable and produce predicted outcomes, the more believable a theory is.  Entity Realist: Belief of entity vs. belief of theory describing it – 2 different things. Disputed claim... ▫ C. Structural Realism  Epistemic view: Describes relationships between unobservables, not their nature.  Ontic view: Knowledge of unobservables‟ structure.  Problem: Can you know structure without relationships?
  • 16. Considerations Against Scientific Realism (and Responses) Fish caught • Underdetermination of Theory by Data ▫ Hypotheses (i.e. testable predictions) cannot stand alone – they require “auxiliary” assumptions. ▫ Hypothesis = incorrect. Error may not exist in claim, per se ▫ Problem to Realists: 9 8 7 6 5 4 3 2 1 0 1 2 3 4 5 Day 6 7 8 9 10
  • 17. Considerations Against Scientific Realism (and Responses) ... Underdetermination of Theory by Data • Rebuttal: Realism rely on two explanations: ▫ A “wait and see” mentality ▫ Data is apt to change over time
  • 18. Considerations Against Scientific Realism (and Responses) • Skepticism about Inference to the Best Explanation ▫ Realist: Although many theories exist, one will have explanatory superiority (i.e. provide the “best” explanation) ▫ But will this thinking yield knowledge? ▫ 2 problems:  A. How to judge theories in relation to being true (criteria and meaning)  B. “Best of a bad lot” argument • Rebuttal: The “best of a bad lot” may still describe unobservables in a way to meet standards of realism....
  • 19. Considerations Against Scientific Realism (and Responses) • The Pessimistic Induction ▫ If most previous theories are false, so are current ones! • Rebuttal: ▫ Considering only the mature theories. ▫ Base rate fallacy ▫ A few good examples should lead antirealists to reconsider....
  • 20. Considerations Against Scientific Realism (and Responses) • Skepticism about Approximate Truth ▫ Abstraction and idealization seen in even our best theories..... ▫ Gradually converging on truth – theories are open to improvement ▫ Problem: Defining approximate truth  Formally: Comparing true/false consequences, world‟s approach, type hierarchy approach  Informally: “theories build on „limiting cases‟ from their predeccesors”
  • 21. Antirealism - Realism vs. the ism’s • Any position apposed to Realism via one or more of the following ▫ Mind is not independent of reality ▫ Theories may not be interpreted literally ▫ Theories may not constitute knowledge of observable and unobservable
  • 22. Realism vs. the ism’s • Empiricism ▫ Doesn't like the idea that one can gain knowledge of the unobservable ▫ This position believes knowledge can only be acquired through experience.
  • 23. Realism vs. the ism’s • Constructive Empiricism ▫ ▫ ▫ ▫ (Sometimes referred to as Instrumentalism) Van Fraassens revision of Empiricism A more realistic view – not as picky Can believe theories that include the unobservable only if nothing is concluded about the unobservable Still kind of picky and still antirealism
  • 24. Realism vs. the ism’s • Historicism ▫ Two concepts can only be understood in correctly historicized manner - from the perspectives of the paradigms in which they occur ▫ Kuhn brought this ism about with “The Structure of Scientific Revolutions” ▫ Antirealism due to mind not existing independent of the world
  • 25. Realism vs. the ism’s • Social Constructivism ▫ States any knowledge generating process is influenced by social factors ▫ SSK - sociology of scientific knowledge – studies the social aspects of how science studies the world ▫ Because all knowledge is influenced by social factors, the mind is not independent of reality
  • 26. Realism vs. the ism’s • Pragmatism & Quietism ▫ Does anyone really know? ▫ Dialectical Paralysis – too many isim‟s ▫ Quietism states that nothing sensible can be said. Wittgenstein ▫ The competition between isim‟s causes a problem within its self
  • 27. Realism & the ism’s vs. NOA • NOA – Natural Ontological Attitude ▫ A compromise of the core common realist and antirealist theories ▫ NOA argues neither realism or antirealism is tenable ▫ Are disputes between realism and antirealism resolvable? No because all positions come with their own rules ▫ But this exercise in futility does lead to a great deal of insight of how knowledge comes about