PHIL2420 Lecture Notes - Lecture 4: K562 Cells, Experimentum Crucis, Falsifiability

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PHIL 2420
Critical Thinking
March 22, 2018
WEEK 4
Falsification and Underdetermination
Demarcation Question
Model is a particular type of analogy where you’re drawing relationship between
two things
Draw inference from result of the analogy. There are different kinds of analogies.
What makes something scientific or unscientific?
What makes a theory scientific?
o Theory collection of models that makes a statement about a particular
science
Popper (philosopher for science) Is there a criterion for the specific character or
status of a theory?
Science and Pseudoscience
Popper wanted to differentiate between the two
What makes germ theory of disease different from astrology?
Problem with pseudo-scientific theories is that they’re too good at explaining
things
Pseudoscience
1. Vagueness
a. Virgos are generally passive, but on occasion can be quite assertive
b. Can apply to anything at all
2. Ad hoc qualification convoluted explanations of exception to the rule
a. Virgos are generally passive, but your rising sign is Aries. Whilst your
inner nature is passive, your outward expression is assertive…
b. Hour makes a difference, was there daylight savings?
c. Rising sign fallback
Good Theories
Predictive power
o If theory has power to make predictions, what about astrology?
o Auxiliary assumptions VS Ad hoc hypothesis
o AA have to make to move from a theory to a test of that theory
Mechanism
Fruitfulness
o Does it lead to a research with positive yield?
Coherence
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o Internal logically consistent theory
o External compatible with other theories known to be true
There could be theory in bio that’s incompatible with something with
physics. Most probably go for physics one. But it’s implications in
terms of biology doesn’t make it true.
Simplicity simpler theory is more correct
o Occam’s Razor
12th-13th century philosopher
Simple explanation is better than a complex one
Problem with ad hoc keep tacking on extra rules to deal
with exceptions to the rules, theory becomes very
complicated
Data must be equal to apply this theory
General Laws
Science proceeds by the discovery of general laws
EXAMPLE: If you have a deficit of serotonin, you will feel depressed
Confirmation gathering evidence to support claim
We build our case through gathering evidence that supports our claim
Induction, confirmation, verification, corroboration
o We use these to support our theories
o More and more evidence to prove hypothesis they think is true
Problem of Induction
No amount of data can confirm a (general) hypothesis
General statement says something about everything / whole class of things
EXAMPLE: Turkey
o Fed nicely, treated well
o Data is consistent with farmer being good guy, looking after turkey
o Then suddenly, completely inconsistent, farmer kills turkey on Christmas
Generalizing from finite amount of data can be dangerous
Unless you know underlying causal structure of situation (farmer eats turkey on
Christmas), all observations may point you in wrong direction
Falsification
Popper don’t generalize, try to falsify
Even if you need infinitely many instances to CONFIRM a hypothesis, one
instance can prove a hypothesis FALSE
Provides deductive solution to the problem of induction
Formal Justification for Falsification
o EXAMPLE: Swans
Inductive generalization
A is a black swan
B is a black swan
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