L4 - Philosophy of science, p.2 Flashcards

1
Q

Lecture’s overview

A
  • what are norms worth if they fail to describe scientific practice?
    ~ paradigms
    ~ episemological anarchism
    ~ sophisticated falsificationsim
  • more recent philosphy of science
    ~ standpoint theory and values in science
    ~ hidden methodological principles in psychology
    ~ theory building and explanation
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2
Q

According to Popper, how do we progress in science?

A
  • theories cannot be confirmed, only falsified
  • we should strive to falsify as many theories as possible, to be left only with the ones that cannot be falsified
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3
Q

what is a problem with hard falsificationism?

A

! hard falsificationism is not possible !
- when we test a prediction we test the theory together with all sorts of background assumptions, so we can’t be sure that the theory should be falsified
- researchers first would criticize background assumptions, before taking into consideration the fact that the theory might be wrong

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4
Q
  • how can Popper’s theory of falsificationism be described?
  • why is it unreasonable?
A
  • “prescriptive” (it’s about a rule that should be followed)
    ~ as a scientist, you have to do your best to falsify your own theory
    ~ this is similar to having bankers responsible for reducing their own bonuses → it doesn’t work! Too high of an expectation to put on scientists
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5
Q

Popper considers his theory as normative. What is the problem with that?

A
  • normative theory: describes a rule (norm) that people (scientists) should follow
  • it still should describe examples of what we consider “scientific successes”
    ~ if there’s no scientist following these rules, this would make Popper’s theory a bad description of science
    → therefore, we ask whether falsificationsim is historically accurate
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6
Q
  • Who is Thomas Kuhn?
    > How is he related to Popper?
A
  • historian, 1922-1996
  • he wants to find in science a set of rules that is typically used throughout, and that can count as rules that describe science
    ! he does not find such set of rules to describe science → coins paradigms

~ he is the first scientist analysing the theory of falsificationism, and whether it really works

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7
Q
  • what is Thomas Kuhn known for?
  • what is his view on positivism?
A
  • paradigm shifts
  • “theories often break with their predecessors” → against positivism
  • “science is not as the logical positivists claim”
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8
Q

what are Kuhn’s main points?

A
  • agreed with Popper about the priority of theory over observation
  • all observations and theoretical concepts depended on the language of the adopted theory
  • emphasized the pressure to keep individual scientists within the confines of the prevailing research tradition (researchers must adhere to conventions)
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9
Q

what is a Paradigm?

A
  • in different times, people are trained in a certain tradition, and this tradition forms a world view on how to do things
  • this all-encompassing world view is a paradigm
    ~ paradigms shift through time, there is no fixed set of rules that scientists should follow
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10
Q

how does a paradigm shift happens?

A
  • when you are in a paradigm, you work and progress in science (= puzzle solving)
  • at some points you will start to encounter little things (anomalies) that contrast a bit the paradigm
  • when you encounter many anomalies, that leads to a crisis
  • only through a scientific revolution, we reach a sudden shift in paradigm
    ! paradigms shift very gradually !

~ even meanings of words can change with a paradigm shift
~ e.g. from Newton to Einstein, the meaning of “time” changed (became relative)

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11
Q
  • Does science progress gradually?
  • how did that change from positivism?
A

! debatable
- we do have sudden paradigm shifts brought upon by revolutions
- we do gradually build up knowledge within the paradigm, but at some point something can happen which can lead the whole world view to change (the shift)
- therefore, is it really a continuum or do we start from scratch every time the paradigm changes? → we would have a new reference point

~ in positivism, it was clearly gradual because through falsification, we can add new knowledge onto prior knowledge

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12
Q

the stages of science, according to Kuhn
(+ explanation and example)

A
  • instead of comulative progress, Kuhn proposes different stages of science:
  1. Pre-science
    ~ there is no general way of doing things yet
  2. Normal science (I)
    ~ we start building rules and training new scientists with those rules (puzzle-solving)
  3. Anomalies and crisis
    ~ (e.g.) Newton couldn’t explain the orbit of Mercury, +…
  4. Revolution
    ~ (e.g.) relativity theory was proposed → led to new rule
  5. Normal science (II)
    ~ new things can be explained, and new rules are formed
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13
Q

what is Puzzle-solving?

A
  • term used by Kuhn to indicate normal science
    → this is because researchers work on familiar topics using well-known techniques and practices
  • they have confidence that they will be able to solve the puzzles with the available tools
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14
Q

what does a paradigm determine?

A
  • what is to be observed and scrutinised
  • which questions should be asked
  • how the questions are to be structured
  • how the results of scientific investigarions should be interpreted
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15
Q

so, does Kuhn believe in progress over paradigms?

A
  • not entirely clear (not guaranteed by the scientific method)
  • if reference point / standard changes all the time, can we really talk about progress?
    ~ his book, “the structure of scientific revolutions”, is the single most widely cited book in social sciences
    ~ now the term “paradigm” is very widely used, in all fields
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16
Q

What new school emerges through Kuhn?

A
  • Relativism
    ~ we can’t evaluate science, or its progress, because it is relative only to that paradigm
    ~ the terms change, and so does their meaning in theories
    → those theories are not even about the same thing
    → in another paradigm you see another world
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17
Q

To explain relativism, how would Aristotle vs Galileo see a pendolum?

A
  • Pendolums did not exist at the time of Aristotle, so he would focus on the motion of such object
    ~ e.g. there is an object that is prevented from falling by a string
  • at the time they also believed that heavy bodies were moved from a higher position to a state of natural rest, a lower one.
  • Galileo instead would describe the function, as pendolums existed in his time and he knew what they were used for
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18
Q

what stage is psychology in, now?

A
  • in psychology it is a bit trickier to come up with all-encompassing world views such Kuhn described
  • the paradigms in psychology are more local and mostly methodological
    ~ e.g. behaviorism could be considered a paradigm
    ~ now, some say that we are in a neurological paradigm, because we focus mostly on the brain
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19
Q

Evidence Based Medicine as a current paradigm
- why?

A
  • Miriam Solomon argues that Evidence Based Medicine (EBM) can be seen as a traditional Kuhnian paradigm
    ~ randomized controlled trials, systematic reviews, meta analysis
    ~ it is a social movement with associated institutions, textbooks, courses and journals
    ~ it is a general philosophy of medicine, defining both the questions of interest and what counts as appropriate evidence
    ~ it’s driven by successful exemplars (“concrete puzzle solutions”); they provide examples that can replace explicit rules
    → you can learn by example and training

! EBM is very important, but it might work better in combination with other methods that focus on other things

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20
Q

Epistemological Anarchism
- who was the first person?

A
  • Feyerabend starts with physics and goes into history of science (Vienna)
  • Cooper becomes his mentor, and Feyerabend is at first very positivist
  • changes doctrine → “we should get rid of all rules”
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21
Q

what is Feyerabend known for?
- what were his main arguments?

A

~ writes book “Against Method”
- he denies the existence of methodological guidelines ensuring progress in science
- it is essential for scientific process that everything is permitted
~ “you need a toolbox full of different kinds of tools. Not only a hammer and pins and nothing else”
- sudden discoveries can justify something that was already assumed (e.g. tower argument)

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22
Q

Feyerabend’s Tower argument

A
  • in the past, when the eliocentric model of the universe was proposed, evidence against it was that if you throw a stone from a tower, it falls straight down and not away as it would happen if the earth was really moving
  • actually, later we found other explanations for the these observations, namely that the stone falls straight down because the earth, tower and air move together

~ Feyerabend argues that Galileo was a great scientist because he was stubborn, he wanted to go against complaints and went forward with his research despite the evidence against it at the time

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23
Q

how was Feyerabend described?

A
  • look at picture 1
    (you don’t need to know it, but it’s a nice text that will help you remember what Feyerabend thought and brought forward in the scientific field)
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24
Q

Sophisticated Falsificationism
- who started it?

A
  • Lakatos
    ~ student of Popper
    ~ tries to save the rationality of science from Kuhn’s relativism and Feyerabend’s anarchism
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25
Q

what does Lakatos say about Popper’s falsificationism?
- what did that lead to?

A

“from a logical point of view, it is quite possible to play the game of science according to Popper’s rules… The only problem is that it has never happened in this way”
→ Lakatos combines: normative elements of Popper’s philosophy + descriptive elements of Kuhn’s philosophy
→ falsification (normative theory) + actual science (descriptive theory)

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26
Q

What is sophisticated falsificationism?

A
  • more nuanced falsificationism
  • direct falsification is very rare:
    ~ scientists do not usually give up their theories so easily, but will switch when they have a better theory
  • there is still a role for falsification (e.g. demarcation), but it is not a descriptive principle
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27
Q

Lakatos’ research programmes
- what are the characteristics?

A
  • they can exist close to each other
  • you can move from one program to the other
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28
Q

what are the components of Laktos’ reserarch programmes?
(+ their characteristics)

A
  • core (cannot be changed)
  • beliefs (associated to each research program)
  • positive heuristics (helps program move forward)
    ~ when testing a theory, if something doesn’t go right with the predictions, we can change something in the beliefs around the core
  • negative heuristic (you can’t revise the core)
    ~ research program might slow down, and people might be convinced to move to another research program
    (see picture 2)
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29
Q

How can Lakatos’ research programmes be applied to the concept of general intelligence (g)?

A
  • core: g exists
    ~ empirical tests show that the correlation matrix between cognitive tasks in IQ test is not unidimensional
  • negative heuristic: we do not reject g
  • positive heuristic: we change the model a bit and make it hierarchical (g is not the direct cause of IQ scores, but there are lower-order factors that mediate these effects)
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30
Q

What are the two possible types of research programmes?

A
  • introduced by Lakatos
  • Progressive
  • Degenerative
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31
Q

what is a Progressive research program?

A
  • growth, new techniques & more facts
  • they are “doing well”, they get grants for research, used widely, but might slow down if predictions start not to hold up anymore
  • allows researchers to make new, unexpected predictions that can be tested empirically
  • it replaces the degenerative paradigm during a paradigm shift
32
Q

what is a Degenerative research program?

A
  • shrinkage, no new techniques and no increase in facts
  • no founds, no new discoveries
  • does not allow researchers to make new predictions
  • requires an increasing number of ad hoc modifications to account for the empirical findings
33
Q

what is the normative component of Lakatos’ research programmes?

A

a rational scientist should stick with a progressive programe but abandon a degenerative programme

34
Q

Examples of scientific revolutions

A
  • geocentrism replaced by heliocentrism (Copernicus)
  • replacement of circular orbits with ellipsoid orbits (Kepler)
35
Q

how do we return to normal science?

A
  • there is pressure by the research community to stay within the limits of the shared paradigm
  • students are thought the new ways as the unquestionable and correct ones
  • everything that happened before is summarized as “well-meant” but naïve
36
Q

what are the two main points of criticism towards Kuhn’s paradigm theory?

A
  • paradigms are ever changing
  • it’s unclear whether a revolution meant progress or simply a change of paradigm
    > this rekindled the controversy between realism and idealism
37
Q

Kuhn’s paradigms vs positivism

A
  • positivism: scinece is always right, and should therefore be the motor of all progress
  • Kuhn: scientific disciplines depend on paradigms, and all paradigms have known major padarigm shifts
38
Q

Refreshment - what are realism and idealism?

A
  • Realism: human knowledge tries to reveal real things in the world
    > truth is the correspondence between the knowledge and the real world
  • Idealism: human knowledge is a construction of the mind and does not necessarily correspond to an outside world
    > truth depends on the coherence with teh rest of the knowledge of the social group
39
Q

Postmodernism

A
  • questioning of the special status of science
  • seeing the scientific explanations as stories told by a particular group of scientists
  • sceptical attitude towards any principles and assumptions that underpinned modernity
40
Q
  • What was the postmodernist view on Popper and Kuhn?
  • what is a social construction?
A
  • Kuhn and Popper: scientific knowledge has less to do with realism than with the opinions shared by the group of scientists
  • postmodernism considers this a Social construction
    → indicates that scientific knowledge is not objective knowledge, but a story told by a particular scientific community on the basis of its language and culture
41
Q

what are Science Wars?

A
  • debate between scientists and postmodernists
    > e.g. unmasking of scientific knowledge as Social Construction
42
Q

How does recent philosphy of science compare to the past?

A
  • it is a bit more modest
    ~ it does not try to answer the question of what counts as science, but focuses on more specific topics (e.g. inference, evidence, models and their role, …)
  • now there is more attention for differences between disciplines
    ~ this leads to specialized philosophy of science directions (philosophy of physics, of social science, of biology, of statistics, …)
43
Q

what is the standpoint theory of philosophy of science?

A

> how decides what questions get studied? Whose concerns get science’s attention? Who benefit from it and who bear the costs of their questions not being studied?

  • the standpoint theory decides whose standpoint we are taking into account, and what standpoint we are missing
44
Q

Standpoint theory
- what is a standpoint?

A
  • a Standpoint is a place from which human beings view the world
  • the inequalities of different social groups create differences in their standpoints
  • different standpoints can co-exist (e.g. feminist standpoint, indiginous standpoint, …)
    ! situated knowledge
45
Q

standpoint theory

what is Situated Knowledge?

A
  • what is possible for you to know depends on your social identity
    = it is not equally possible for everyone to access all knowledge
    → so, for some knowledge marginalized groups are in better position to understand
46
Q

(initial) Feminist standpoint theory
- what was the initial focus?

A
  • challenge idea of science being neutral and objective
  • show how gendered identities influence their access to knowledge
47
Q

how did the feminist standpoint theory develop further?

A
  • later on, focus shifted on interactions between social factors
    ~ e.g. gender, race, sexuality, culture
    → maginalized perspective have the privilege of being in a better position to know certain facts about the world related to the marginalization
48
Q

what standpoints are we missing in psychology? (examples)

A
  • non-eurocentric perspectives
  • clinical patients’ perspectives

  • ! how do standpoints influence the kinds of knowledge produced? what is the benefits of each standpoint? …
49
Q

Value-ladenness

A
  • knowledge involves subjective moral, political, social, economic evaluations
    ~ e.g. what is good? what is fair? what is harmful? what is important?
50
Q

how did Value-ladenness change throughout time?

A
  • in 20th century, the popular view was that science should stride for objectivity and neutrality & getting rid of all values (social, economic, …)
  • now it’s becoming acceptable to justify value-ladenness (particularly in social science)
    → studying what values might play a role can illuminate implicit biases, but it is impossible to get rid of all
51
Q

Well-being
(example of Value-ladenness)

A
  • studied in social and medical sciences
  • already in the definition of well-being, there are values (the definition is fundamentally normative)
  • there are different ways of conceptualizing, which will prioritize different policies
    ~ e.g. positive balance of pleasure over pain, objective list, to what extent desires are fulfilled, …
    → choosing among them focuses on different aspects, so we must be aware that we are bringing in our values
52
Q

is psychometrics value-free?

A
  • on the surface, psychometrics is thought to be “value-free”
  • however, historically (eugenics…) and nowadays, psychometrics is not value-free
    ~ we should be aware of this, evaluate and make these values explicit
53
Q

what are few problems with psychometrics?

A
  • it’s not value-free but claims to be
  • states that all scientific research, to be objective and neutral, should be quantitative
54
Q

what are the hidden methodological principles in psychological science?

A
  • Epistemic Freezing (choose a way to operationalize your concept and then stick to that)
  • Testing Myopia (choose a hypothesis and test it)
  • Data fixation (to progress we need new and surprising data)
  • Smallism (to explain we need to dive a level deeper; mind>brain>neurons)
  • Mirrorism (our goal should be to develop theories that are “true”)
55
Q

Epistemic Freezing

A
  • e.g. through time we figured out new ways to measure heat
    → this changed the meaning of “temperature”
  • epistemic iteration: iterative revising of theory and measurement (they keep updating each other)
56
Q

how does epistemic freezing look like in psychology?

A
  • it looks like we choose an operationalization and then no longer revise it
  • both the measuerment models (e.g. factor models) and instruments (e.g. Beck’s depression inventory) hardly changed
  • we “freeze” the epistemic iteration process in the first step
57
Q

Testing Myopia

A
  • we learn how to test hypotheses, but how do we get good theories?
  • nowadays students know how to test existing hypotheses, but not how to create good theories
58
Q

how does Testing myopia connect to Popper’s falsificationism?

A
  • in Popper’s falsificationism, it is not specified how we should arrive to a theory, it says that the scientific process starts with hypotheses testing
  • it would then be useful to have methodology and rules also on how to build theories!
  • strict separation:
    ~ context of discovery (no logic theory development)
    ~ context of justification (strict rules for the logic of testing: modus tollens)
59
Q

Data fixation
- how are theories considered in logical positivism vs falsificationism?

A
  • in logical positivism, theories are summaries of observations
  • in falsificationism, theories are tested against observations
60
Q

how does data fixation work in psychology?
how does it work in current philosophy of science?

A
  • in psychology → observations = data
  • we oftern hear that “the theory explains the data”, but technically a theory only explains a pattern in data

! current philosophy of science no longer distinguishes between observation and theory, but it adds something in the middle: phenomena

61
Q

what are phenomena?

A
  • stable features of the world which are potential objects for explanation
    ~ e.g. scores on different cognitive tasks all positively correlate with each other (positive manifold)
    → theories explains the phenomenon of the positive manifold, not the actual data obtained
    ~ e.g. anxiety and depression are correlated (comorbidity)
    ~ e.g. women are more often diagnosed with depression than men
    (picture 3)
62
Q

what is a characteristic of phenomena?
how should they influence the construction of theories?

A
  • good phenomena are often “boring”
    > they are well-established and hardly surprising once identified
  • we use data to find evidence for these phenomena, and we use theory to explain these phenomena
  • for theory building we should thus let go of the principle that we always want “new” and “surprising” data: we should want stable patterns
63
Q

Smallism

A
  • the assumption is that we want to explain theories by always going one level deeper (e.g. neurons, atoms)
  • these lower levels are considered more objective, scientific or fundamental than “higher” levels (e.g. psychology)
64
Q

how is smallism in recent philosophy of science?
what is explanatory pluralism?

A
  • we need explanatory pluralism
    → explanations at multiple levels are necessary to fully understand the behavior of humans and other animals
65
Q

Network theories and Mental disorders

A

! Network theory is against reductionism !
- instead of searching for the underlying causes of symptoms in the brain, we should consider:
> the symptoms themselves
> the way they reinforce each other
> the way they interact with the environment

  • instead of the analogy of a disease, network theory uses the analogy of an ecosystem
    > in this ecosystem there is the brain, but also the environment and social relations
66
Q

Mirrorism

A
  • “theories need to be true representations of nature”
  • in current philosophy of science, it’s ok that theories include abstractions and idealizations with pragmatic purposes
    > after all, the goal of a theory is to explain phenomena, and not to represent nature
67
Q

Nancy Cartwright on the role of theories

A
  • the truth doesn’t explain much, but scientific theories do
  • laws of physics also do not describe reality, they are highly idealized objects in models that help explain empirical phenomena
    (picture 4 & 5)
68
Q

Productive Explanation
- what is it used for?
- how?

A
  • used to check whether a theory explains phenomena
    1. we can make a formal model of the theory to predict the data
    2. we check whether predicted data has the same patterns as what we can see in empirical studies
    = a theory explains a phenomenon if a formal model that explicated the theory produces the statistical pattern that represents the phenomenon
69
Q

what are the (official) steps of Productive Explanation?

A
  1. representing the phenomenon as a statistical pattern
  2. explicating the verbal theory in a formal model
  3. evaluate whether the formal model produces the statistical pattern
70
Q

Sleep restriction therapy as an example of productive explanation

A
  • they invented a therapy for people with insomnia
    > if they only slept 4 hours the night before but laid in bed for 10 hours, the next night they are only allowed to lay in bed for 4 hours
  • through productive explanation they created a formal model to predict data
  • the predicted data matched the actual observations, therefore the model and theory were correct

> p.s. it works! Isn’t that incredibly cool?

71
Q

Summary

A

picture 6

72
Q

Peirce and Pragmatism
- what was his view?
- what is pragmatism?

A
  • the value of knowledge could be judged by how well it helps us deal with the real world
  • invented Pragmatism
    > human knowledge is information about how to cope with the world
    > the truth of knowledge depends on the success one has in engaging with the world, on what works
    > the truth of a theoryis only of interest if it makes a practical difference
    ! knowledge is not a mirror of reality (realism) or a subjective construction (idealism). but information on how to cope with the world
73
Q

What was the impact of pragmatism?
- why?

A
  • not much
    → it did not make a distinction between scientific knowledge and non-scientific knowledge
    → seems less coherent and solid than the usual writing on logic and epistemology
74
Q

how did Peirce distinguish knowledge?

A
  • the method of tenacity
    > people hold beliefs and assumptions that have been around for a long time
  • the method of authority
    > people form opinions by consulting experts
  • the a priori method
    > people use their own reason and logic to reach conclusions
    ! all knowledge that helped to cope with the world was useful, so peirce did not differentiate between those three methods and the scientific one
75
Q

why is pragmatism important?

A
  • proposes that practical utility is an important aspect to judge the worth of new knowledge