SlideShare ist ein Scribd-Unternehmen logo
1 von 22
Intervention and Causation


   Intervention and Causation:
   A Philosophical Perspective

          Victor Gijsbers
 (Philosophy, Universiteit Leiden)

           2012-10-05
Causation

●   A central topic in modern philosophy.
●   Why believe that philosophy could teach us
    something about causation?
●   The idea and use of philosophical analysis.
Intervention

●   Central notion in current debates: intervention.
        –   Pearl, Causality (2000)
        –   Woodward, Making Things Happen (2003)
●   Using intervention to understand causation.
●   Why is that a good idea?
Overview

●   Causation seems to be:
       –   important,
       –   modal.
●   Main development in theories of causation:
       –   From reductive analyses
       –   to interventionist analyses.
Importance of causation

●   Why do scientists care about causation?
●   “The law of causality, I believe, like much that
    passes muster among philosophers, is a relic of
    a bygone age, surviving, like the monarchy,
    only because it is erroneously supposed to do
    no harm.”
        –   (Russell, On the Notion of Cause, 1912)
Importance of causation

●   Science is interested in functional relations.
        –   pV = NkT
        –   number of people infected = F(population
             density, quality of sanitation, availability of
             hospitals, …)
        –   P(number of people infected) = F(population
             density, quality of sanitation, availability of
             hospitals, …)
●   So why be interested in causation?
Importance of causation

●   The functional relations by themselves are not
    guides to action.
●   We want to know about cause and effect.
●   But what is the relation between causation and
    functional relations?
Causation and modality

●   Some of our statements are about what actually
    happens; others are about modal facts.
        –   What could happen.
        –   What must happen.
        –   What would happen, if...
●   Modal statements play an important role in
    planning, justifying, assigning blame and credit.
Causation and modality

●   Causation seems to be closely linked to
    modality.
●   If A caused B, then, if A had not happened, B
    would not have happened.
●   That doesn't quite work... but intuitively,
    something in the vicinity should.
Causation

●   Summarising, causation seems to be:
        –   important
        –   modal.
●   Suggestive links with action (but at this point,
    no more than suggestive).
Reductive theories

●   Reductive, regularity theories of causation.
        –   Modal facts have to be reduced to facts about
             what actually happens.
        –   Actions should not appear in the theory.
●   Why? Because our scientific knowledge is
    based on what we see. Anything else would be
    superstition, pseudoscience, empty
    speculation.
●   And we only see what is actual.
Reductive theories

●   Science is based on what we see.
●   Objection: it is also based on what we do.
●   Do → see → science.
●   Doing falls out of the equation when we think
    about the justification of our theories.
Reductive theories

●   We want to analyse causation in terms of
    observed relations between event types.
●   Most simple theory is the constant conjunction
    theory (Hume, 1748):
       –   A causes B ↔ whenever A happens, B happens
             immediately afterwards
●   Can be changed to accommodate probabilistic
    relationships.
Counterexamples

●   There is constant conjunction without
    causation. For instance:
        –   Common cause structures.
        –   “Accidental” conjunction.
●   Both are important to recognise in actual
    scientific research.
Counterexamples

●   Reductive theories fail to capture the modal
    aspect of causation.
●   They fail less often when we add more causal
    variables. Still – this doesn't look like the right
    way. There always remains the possibility of
    accident.
●   Which we can accept in practice, but not when
    we want to know the meaning of causation.
Interventionism

●   Very rough example of an interventionist theory
    of causation:
       –   A causes B ↔ by intervening on A, we can
             change B.
●   Why would talking about interventions help?
Using intervention

●   We do use interventions to test causal claims.
    Is A a cause of B? We intervene on A, and
    check whether B is still probabilistically related
    to A.
        –   Yes? Causation!
        –   No? No causation!
●   Both conclusions can be wrong.
Interventionism

●   Haven't we just added another causal variable?
●   Reductive way of thinking: we perform
    interventions so that we can determine a set of
    functional relationships that we are interested
    in.
●   The doing is merely there to serve the seeing.
●   The possibility of accident remains.
Interventionism

●   Remember our statement of interventionism:
        –   A causes B ↔ by intervening on A, we can
              change B.
●   This is an inherently modal claim. We set A = 1,
    and what happens is B = 1. But this only counts
    as a changing of B, if it is that case that had we
    set A = 0, then B would not have been 1.
●   Something counts as a successful intervention
    only if the effect was not accidental.
Interventionism

●   But why would modality be connected with our
    doing of things?
●   Because when we do things, we make choices.
    [Insert difficult questions about free will here.]
●   It is when we think about our future plans,
    about what we want to change, and so on, that
    we start thinking modally; and that we start to
    get interested in causation.
Interventionism

●   Beings who could only see things, but could not
    do things, would not be interested in causation.
●   What is more: they could not have the concept
    of causation. We can only understand
    causation because of the modality of action.
●   It is therefore no surprise that a philosophical
    analysis of causation must use a term like
    'intervention'.
Conclusion

●   But it is also no surprise that theories about
    causal modelling and causal inference can
    make good use of the notion of intervention.
●   Because claims about causation turn out to be
    claims about the effects of actions.
●   Reminder: this is a controversial story!

Weitere ähnliche Inhalte

Ähnlich wie Kick off meeting gijsbers

How to Think: Introduction to Logic, Lecture 7 with David Gordon - Mises Academy
How to Think: Introduction to Logic, Lecture 7 with David Gordon - Mises AcademyHow to Think: Introduction to Logic, Lecture 7 with David Gordon - Mises Academy
How to Think: Introduction to Logic, Lecture 7 with David Gordon - Mises AcademyThe Ludwig von Mises Institute
 
Introduction to business research methods PPT
Introduction to business research methods PPTIntroduction to business research methods PPT
Introduction to business research methods PPTvamsi krishna
 
Comm theory module 1 theory overview pdf
Comm theory module 1  theory overview pdfComm theory module 1  theory overview pdf
Comm theory module 1 theory overview pdfKriztine Viray
 
METHODS (Psych 201 - Chapter 2 - Spring 2014)
METHODS (Psych 201 - Chapter 2 - Spring 2014)METHODS (Psych 201 - Chapter 2 - Spring 2014)
METHODS (Psych 201 - Chapter 2 - Spring 2014)Melanie Tannenbaum
 
NMRN research notes.pptx
NMRN research notes.pptxNMRN research notes.pptx
NMRN research notes.pptxJaniceScates
 
13 Scientific solution to team leadership
13 Scientific solution to team leadership13 Scientific solution to team leadership
13 Scientific solution to team leadershipGraylit
 
5 Critical Thinking.pptx
5 Critical Thinking.pptx5 Critical Thinking.pptx
5 Critical Thinking.pptxpawancsk21
 
Ayn Rand and Objectivism, Lecture 4 with David Gordon - Mises Academy
Ayn Rand and Objectivism, Lecture 4 with David Gordon - Mises AcademyAyn Rand and Objectivism, Lecture 4 with David Gordon - Mises Academy
Ayn Rand and Objectivism, Lecture 4 with David Gordon - Mises AcademyThe Ludwig von Mises Institute
 
IYI Research Methods.ppt
IYI Research Methods.pptIYI Research Methods.ppt
IYI Research Methods.pptTubaEldem1
 
Introduction to Organization Behavior
Introduction to Organization BehaviorIntroduction to Organization Behavior
Introduction to Organization BehaviorManish Parihar
 
Using Awareness of Natural vs. Demonstrated Type Functions to Build Resilienc...
Using Awareness of Natural vs. Demonstrated Type Functions to Build Resilienc...Using Awareness of Natural vs. Demonstrated Type Functions to Build Resilienc...
Using Awareness of Natural vs. Demonstrated Type Functions to Build Resilienc...Career Communications Group
 
Da vinci presentation ontology epistemology Dr Rica VIljoen
Da vinci presentation ontology epistemology Dr Rica VIljoenDa vinci presentation ontology epistemology Dr Rica VIljoen
Da vinci presentation ontology epistemology Dr Rica VIljoenDr Rica Viljoen
 
Introduction To Business Research Methods
Introduction To Business Research MethodsIntroduction To Business Research Methods
Introduction To Business Research MethodsAnthony Yeong
 

Ähnlich wie Kick off meeting gijsbers (20)

How to Think: Introduction to Logic, Lecture 7 with David Gordon - Mises Academy
How to Think: Introduction to Logic, Lecture 7 with David Gordon - Mises AcademyHow to Think: Introduction to Logic, Lecture 7 with David Gordon - Mises Academy
How to Think: Introduction to Logic, Lecture 7 with David Gordon - Mises Academy
 
Introduction to business research methods PPT
Introduction to business research methods PPTIntroduction to business research methods PPT
Introduction to business research methods PPT
 
Comm theory module 1 theory overview pdf
Comm theory module 1  theory overview pdfComm theory module 1  theory overview pdf
Comm theory module 1 theory overview pdf
 
METHODS (Psych 201 - Chapter 2 - Spring 2014)
METHODS (Psych 201 - Chapter 2 - Spring 2014)METHODS (Psych 201 - Chapter 2 - Spring 2014)
METHODS (Psych 201 - Chapter 2 - Spring 2014)
 
Edmund Husserl.pptx
Edmund Husserl.pptxEdmund Husserl.pptx
Edmund Husserl.pptx
 
Relevance Theory
Relevance TheoryRelevance Theory
Relevance Theory
 
NMRN research notes.pptx
NMRN research notes.pptxNMRN research notes.pptx
NMRN research notes.pptx
 
13 Scientific solution to team leadership
13 Scientific solution to team leadership13 Scientific solution to team leadership
13 Scientific solution to team leadership
 
Hypothesis.pptx
Hypothesis.pptxHypothesis.pptx
Hypothesis.pptx
 
5 Critical Thinking.pptx
5 Critical Thinking.pptx5 Critical Thinking.pptx
5 Critical Thinking.pptx
 
Methodology: a real problem
Methodology: a real problemMethodology: a real problem
Methodology: a real problem
 
Ayn Rand and Objectivism, Lecture 4 with David Gordon - Mises Academy
Ayn Rand and Objectivism, Lecture 4 with David Gordon - Mises AcademyAyn Rand and Objectivism, Lecture 4 with David Gordon - Mises Academy
Ayn Rand and Objectivism, Lecture 4 with David Gordon - Mises Academy
 
On empirical generalisations
On empirical generalisationsOn empirical generalisations
On empirical generalisations
 
Critical realism
Critical realismCritical realism
Critical realism
 
IYI Research Methods.ppt
IYI Research Methods.pptIYI Research Methods.ppt
IYI Research Methods.ppt
 
Introduction to Organization Behavior
Introduction to Organization BehaviorIntroduction to Organization Behavior
Introduction to Organization Behavior
 
Using Awareness of Natural vs. Demonstrated Type Functions to Build Resilienc...
Using Awareness of Natural vs. Demonstrated Type Functions to Build Resilienc...Using Awareness of Natural vs. Demonstrated Type Functions to Build Resilienc...
Using Awareness of Natural vs. Demonstrated Type Functions to Build Resilienc...
 
Human sciences final
Human sciences finalHuman sciences final
Human sciences final
 
Da vinci presentation ontology epistemology Dr Rica VIljoen
Da vinci presentation ontology epistemology Dr Rica VIljoenDa vinci presentation ontology epistemology Dr Rica VIljoen
Da vinci presentation ontology epistemology Dr Rica VIljoen
 
Introduction To Business Research Methods
Introduction To Business Research MethodsIntroduction To Business Research Methods
Introduction To Business Research Methods
 

Mehr von Bsie

weon preconference 2013 vandenbroucke counterfactual theory causality epidem...
 weon preconference 2013 vandenbroucke counterfactual theory causality epidem... weon preconference 2013 vandenbroucke counterfactual theory causality epidem...
weon preconference 2013 vandenbroucke counterfactual theory causality epidem...Bsie
 
WEON preconference Greenland
WEON preconference GreenlandWEON preconference Greenland
WEON preconference GreenlandBsie
 
Weon preconference pearce variation and causation
Weon preconference pearce variation and causationWeon preconference pearce variation and causation
Weon preconference pearce variation and causationBsie
 
Poster eurostroke 2013 Siegerink et al P255
Poster eurostroke 2013 Siegerink et al P255Poster eurostroke 2013 Siegerink et al P255
Poster eurostroke 2013 Siegerink et al P255Bsie
 
Causaltalk handout andrew gelman
Causaltalk handout andrew gelmanCausaltalk handout andrew gelman
Causaltalk handout andrew gelmanBsie
 
Mtv studie volkskrant 30 oktober
Mtv studie   volkskrant 30 oktoberMtv studie   volkskrant 30 oktober
Mtv studie volkskrant 30 oktoberBsie
 
Mtv studie Spits 30 oktober
Mtv studie   Spits 30 oktoberMtv studie   Spits 30 oktober
Mtv studie Spits 30 oktoberBsie
 
Mtv studie spits 30 oktober
Mtv studie   spits 30 oktoberMtv studie   spits 30 oktober
Mtv studie spits 30 oktoberBsie
 
Commentary Kaufman
Commentary  KaufmanCommentary  Kaufman
Commentary KaufmanBsie
 
Epidemiologic measures and policy formulation lessons from potential outcomes...
Epidemiologic measures and policy formulation lessons from potential outcomes...Epidemiologic measures and policy formulation lessons from potential outcomes...
Epidemiologic measures and policy formulation lessons from potential outcomes...Bsie
 
Commentary _social_epidemiology__questionable answers and answerable questions
Commentary  _social_epidemiology__questionable answers and answerable questionsCommentary  _social_epidemiology__questionable answers and answerable questions
Commentary _social_epidemiology__questionable answers and answerable questionsBsie
 

Mehr von Bsie (11)

weon preconference 2013 vandenbroucke counterfactual theory causality epidem...
 weon preconference 2013 vandenbroucke counterfactual theory causality epidem... weon preconference 2013 vandenbroucke counterfactual theory causality epidem...
weon preconference 2013 vandenbroucke counterfactual theory causality epidem...
 
WEON preconference Greenland
WEON preconference GreenlandWEON preconference Greenland
WEON preconference Greenland
 
Weon preconference pearce variation and causation
Weon preconference pearce variation and causationWeon preconference pearce variation and causation
Weon preconference pearce variation and causation
 
Poster eurostroke 2013 Siegerink et al P255
Poster eurostroke 2013 Siegerink et al P255Poster eurostroke 2013 Siegerink et al P255
Poster eurostroke 2013 Siegerink et al P255
 
Causaltalk handout andrew gelman
Causaltalk handout andrew gelmanCausaltalk handout andrew gelman
Causaltalk handout andrew gelman
 
Mtv studie volkskrant 30 oktober
Mtv studie   volkskrant 30 oktoberMtv studie   volkskrant 30 oktober
Mtv studie volkskrant 30 oktober
 
Mtv studie Spits 30 oktober
Mtv studie   Spits 30 oktoberMtv studie   Spits 30 oktober
Mtv studie Spits 30 oktober
 
Mtv studie spits 30 oktober
Mtv studie   spits 30 oktoberMtv studie   spits 30 oktober
Mtv studie spits 30 oktober
 
Commentary Kaufman
Commentary  KaufmanCommentary  Kaufman
Commentary Kaufman
 
Epidemiologic measures and policy formulation lessons from potential outcomes...
Epidemiologic measures and policy formulation lessons from potential outcomes...Epidemiologic measures and policy formulation lessons from potential outcomes...
Epidemiologic measures and policy formulation lessons from potential outcomes...
 
Commentary _social_epidemiology__questionable answers and answerable questions
Commentary  _social_epidemiology__questionable answers and answerable questionsCommentary  _social_epidemiology__questionable answers and answerable questions
Commentary _social_epidemiology__questionable answers and answerable questions
 

Kick off meeting gijsbers

  • 1. Intervention and Causation Intervention and Causation: A Philosophical Perspective Victor Gijsbers (Philosophy, Universiteit Leiden) 2012-10-05
  • 2. Causation ● A central topic in modern philosophy. ● Why believe that philosophy could teach us something about causation? ● The idea and use of philosophical analysis.
  • 3. Intervention ● Central notion in current debates: intervention. – Pearl, Causality (2000) – Woodward, Making Things Happen (2003) ● Using intervention to understand causation. ● Why is that a good idea?
  • 4. Overview ● Causation seems to be: – important, – modal. ● Main development in theories of causation: – From reductive analyses – to interventionist analyses.
  • 5. Importance of causation ● Why do scientists care about causation? ● “The law of causality, I believe, like much that passes muster among philosophers, is a relic of a bygone age, surviving, like the monarchy, only because it is erroneously supposed to do no harm.” – (Russell, On the Notion of Cause, 1912)
  • 6. Importance of causation ● Science is interested in functional relations. – pV = NkT – number of people infected = F(population density, quality of sanitation, availability of hospitals, …) – P(number of people infected) = F(population density, quality of sanitation, availability of hospitals, …) ● So why be interested in causation?
  • 7. Importance of causation ● The functional relations by themselves are not guides to action. ● We want to know about cause and effect. ● But what is the relation between causation and functional relations?
  • 8. Causation and modality ● Some of our statements are about what actually happens; others are about modal facts. – What could happen. – What must happen. – What would happen, if... ● Modal statements play an important role in planning, justifying, assigning blame and credit.
  • 9. Causation and modality ● Causation seems to be closely linked to modality. ● If A caused B, then, if A had not happened, B would not have happened. ● That doesn't quite work... but intuitively, something in the vicinity should.
  • 10. Causation ● Summarising, causation seems to be: – important – modal. ● Suggestive links with action (but at this point, no more than suggestive).
  • 11. Reductive theories ● Reductive, regularity theories of causation. – Modal facts have to be reduced to facts about what actually happens. – Actions should not appear in the theory. ● Why? Because our scientific knowledge is based on what we see. Anything else would be superstition, pseudoscience, empty speculation. ● And we only see what is actual.
  • 12. Reductive theories ● Science is based on what we see. ● Objection: it is also based on what we do. ● Do → see → science. ● Doing falls out of the equation when we think about the justification of our theories.
  • 13. Reductive theories ● We want to analyse causation in terms of observed relations between event types. ● Most simple theory is the constant conjunction theory (Hume, 1748): – A causes B ↔ whenever A happens, B happens immediately afterwards ● Can be changed to accommodate probabilistic relationships.
  • 14. Counterexamples ● There is constant conjunction without causation. For instance: – Common cause structures. – “Accidental” conjunction. ● Both are important to recognise in actual scientific research.
  • 15. Counterexamples ● Reductive theories fail to capture the modal aspect of causation. ● They fail less often when we add more causal variables. Still – this doesn't look like the right way. There always remains the possibility of accident. ● Which we can accept in practice, but not when we want to know the meaning of causation.
  • 16. Interventionism ● Very rough example of an interventionist theory of causation: – A causes B ↔ by intervening on A, we can change B. ● Why would talking about interventions help?
  • 17. Using intervention ● We do use interventions to test causal claims. Is A a cause of B? We intervene on A, and check whether B is still probabilistically related to A. – Yes? Causation! – No? No causation! ● Both conclusions can be wrong.
  • 18. Interventionism ● Haven't we just added another causal variable? ● Reductive way of thinking: we perform interventions so that we can determine a set of functional relationships that we are interested in. ● The doing is merely there to serve the seeing. ● The possibility of accident remains.
  • 19. Interventionism ● Remember our statement of interventionism: – A causes B ↔ by intervening on A, we can change B. ● This is an inherently modal claim. We set A = 1, and what happens is B = 1. But this only counts as a changing of B, if it is that case that had we set A = 0, then B would not have been 1. ● Something counts as a successful intervention only if the effect was not accidental.
  • 20. Interventionism ● But why would modality be connected with our doing of things? ● Because when we do things, we make choices. [Insert difficult questions about free will here.] ● It is when we think about our future plans, about what we want to change, and so on, that we start thinking modally; and that we start to get interested in causation.
  • 21. Interventionism ● Beings who could only see things, but could not do things, would not be interested in causation. ● What is more: they could not have the concept of causation. We can only understand causation because of the modality of action. ● It is therefore no surprise that a philosophical analysis of causation must use a term like 'intervention'.
  • 22. Conclusion ● But it is also no surprise that theories about causal modelling and causal inference can make good use of the notion of intervention. ● Because claims about causation turn out to be claims about the effects of actions. ● Reminder: this is a controversial story!