Showing posts with label Chalmers. Show all posts
Showing posts with label Chalmers. Show all posts

Saturday, November 12, 2016

Micromegas & Other Short Fictions Assessment

I finished Micromégas and Other Short Fictions by Voltaire about five days ago. Generally my assessments on this blog about books I have finished have been mercifully brief. But, my obsession with Voltaire demands something a bit more.

I rated this book (a Penguin) with three stars. I noted on my review that "Some people on this app labeled Candide as dated and thus, out of touch with the current character of this age. I wholeheartedly disagreed and argued the timeless nature of the work. Had they argued that some of the fictions in this book were the case I would have still argued agains them, but not as wholeheartedly. As an anthology this book is great. Voltaire is incredibly easy to read, profound and cuts to the bone. But because it is an anthology there are better and worse stories in it. Some of the stories demand you read the footnotes, while others can be simply enjoyed free of historical context.

Pot-Poori and the Account of the illness, confession, death and apparition of the Jesuit Breathier necessitate a glance back at the footnotes. Without reading the footnotes Pot-Pouri reads a bit like surrealist fiction (I'm not entirely convince it isn't). Micromégas and The History of the Travels of Scarmentado can just stand alone as humorous satire without demanding one know exactly what is being satirized. If you like Candide, you'll enjoy this. If you love Candide (as I do), you'll really enjoy this. If you don't like Candide, you're wrong."

This would be about the end of most of my assessments. Then I would write a few quotes that I found interesting or highlight some passages that I think would be useful later in my studies. But, since I want to really get to know Voltaire, I'm going to a story-by-story assessment. So, I'll be posting over and over on this book. But, it won't be a back-to-back-to-back sort of endeavor. I'll be doing it to break up the dry copying of my notes on Chalmer's What is this thing called science? Based on my handwriting and notes from 2006 I enjoyed the work. But, at the moment I'm not reliving my excitement...

Saturday, November 18, 2006

What is this thing called science? Ch. 16

(Originally written November 18, 2006 in Book 8)

What is this thing called science?
Chapter 16 - Epilogue

There is no general account of science and scientific method to be had that applies to all science in all things.

Philosophy does not have the resources to provide the account of science.

Historical accounts of science in the philosophy of science deal with knowledge of the epistemology of science.

Philosophy of science, though it is unable to provide us an account of science in general can provide characterizations of a given science at a given time.

Philosophers of science are useful because while scientists are good at making scientific progress they are not good at characterizing that progress. Philosophers of science are good at just that.

Linehan - The Way Chalmers presents philosophy of science makes me wonder if philosophy of science really isn't a muddled mess of philosophy of history, anthropology, and sociology.

What is this thing called science? Ch. 15

(Originally written November 18, 2006 in Book 8)

What is this thing called science?
Ch. 15 - Realism and Anti-Realism

[Introduction]

Realism views science as being able to accomplish its goal of telling us about things going on beyond the surface of things (i.e. DNA) and about things that happened long ago, prior to man's existence.

Many philosophers of science doubt realism. One reason for this doubt is that claims about the unobservable world must be hypothetical to the extent that they transcend what can be firmly established by observation.

Realism is too rash for philosophy of science because it claims way more than it can reasonably defend. History has reinforced this doubt as countless theories about the unobserved world have been proven false.

Anti-realists point out that when theories based on unobservable and observable facts that when the unobservable is proved wrong and the observable is retained. They hold that the enduring part of science is the part based on observation and experiment.

Anti-realists stress the inconclusiveness of theoretical science.

[Global anti-realism: language, truth and reality]

Global anti-realism holds that we are trapped by language and cannot ever directly describe reality. We can only describe it through a human perspective.

Global anti-realism denies that we have access to reality in any way, not just in science.

While most contemporary people are global anti-realists in that we all deny that we can come face to face with reality and directly read off facts about it, that doesn't prove much. At this point, global anti-realism is a very weak thesis.

The thesis becomes stronger when it is taken to have consequences that justify a skeptical attitude toward science and knowledge in general.

Chalmers calls this strengthening of thesis "unwarranted". He admits that we understand the world through conceptional framework, but that the framework can be tested for accuracy.

We learn about the world through observing it and describing it but, also through interacting with it.

Realists use the correspondence theory of truth because it is most conducive to their position. The correspondence theory of truth states that a sentence is only true if it corresponds to reality. A sentence is true if it describes things as they really are.

One problem with the correspondence theory of truth is that it can lead to paradoxes very easily.

The Liar paradox is a good example:

Example 1: "I never tell the truth"

If this is true, then you do tell the truth.

Example 2: If one side of the card has the sentence, "the sentence on the other side of this card is true" and the other side states, "the sentence on the other side of this card is false". This situation proves that either of the sentences are both true and false, which leads to the paradox.

Alfred Tarski demonstrated how, in a reasonably simple language system, paradoxes can be avoided. He distinguished between: one must carefully distinguish sentences between 'object language' and 'meta-language'

Object language deals with truth or falsity of sentences. Meta-language talks about object language.

Using Tarski's formula one of the sentences on the card must be object language and the other must be meta-language and thus, no paradox arises.

One of the main components of Tarski's correspondence theory is that if we are going to talk about truth for sentences, we need a more general language, a meta-language.

Meta-language refers to object language and to the facts to which those object language sentence are intended to correspond.

Tarski needed to show how the correspondence notion of truth can be systematically developed for all sentences within the object language in a way that avoids paradoxes. The difficulty of his task is that for any interesting language there are an infinite number of sentences

Tarski achieved this task for languages involving a finite number of single placed predicates. He took what it means for a predicate to be satisfied by an object.

The everyday language makes it sound trivial. The predicate 'is white' is satisfied by "X" only if X is white.

Using the notion of primitive satisfaction as a given, Tarski defined truth recursively.

Tarski's work was technically important for mathematical logic. It had a fundamental bearing on model theory and effected proof theory. He showed how contradictions can arise when truth is discussed in natural language, and showed how these contradictions can be avoided.

Tarski merely showed a commonsense thing. He proved that "snow is white" is true only because snow is white.

Tarski showed that a commonsense idea of truth can be utilized in a way that is free from paradoxes that were believed to threaten it.

From Tarski's point of view, a scientific theory is true, if and only if it describes the world as it really is.

Anti-realism will maintain that Tarski has not proven a correspondence between truth and a sentence, only a correspondence between one sentence and another.

The traditional debate between realists and anti-realists, in science, concerns whether scientific theories should be seen as truth in an unrestricted sense, or if they should be seen as making claims about the observable world exclusively. Neither side of this debate defends global anti-realism.

Anti-realism

Anti-realism maintains that the content of a scientific theory involves only a set of claims that can be substantiated by observation and experiment.

Many anti-realists are called instrumentalists.

Instrumentalists hold theories are nothing more than useful instruments that aid in correlating and predicting the results of observation and experiment.

Theories, in instrumentalism, are not interpretable as true or false.

Theories must be overarching, general, simple and compatible with observation and experiment.

Bas van Fraassen is an anti-realist who is not an instrumentalist.  He believes theories are true and false, but that truth or falsity is beside the point of science.

van Fraassen's merit of a theory is located in terms of its generality and simplicity and the extent to which it is borne out by observation and leads to new kinds of observation.

van Fraassen calls his position "constructive empiricism"

A motive for anti-realism is a desire to restrict science to claims that can be justified by scientific means.

Anti-Realists employee historical evidence to justify their claim that the theoretical part of science is not securely established.

Anti-realists note that even when theories are proven false there is no denying their utility in discovering new methods of observation.

"They (theories) are simply scaffolding to help erect the structure of observational and experimental knowledge, and they can be rejected once they have done their job" (Chalmers, 233).

[Some standard objections and the anti-realist response]

Anti-realists differentiate between observational knowledge, which is securely established and theoretical knowledge, which is not securely established.

One objecting to anti-realism is that if theories are not approximately true, how can they be so predictively successful in experiment?

History, however, forces the realist to admit that the predictive success is not a necessary indication of truth.

Realists claim that anti-realists can sweep difficult problems under the rug. Anti-realists would call this a caricature of anti-realism.

Realists claim that anti-realists don't take phenomena that is unobservable serious enough if they call it useful fiction. Anti-realists admit that these useful fiction and hold that as technology increases useful fictions can become observable phenomena.

[Scientific realism and conjectural realism]

Scientific realism claims that science's aim is to discover how the world behaves at all levels, not just observable ones.

Scientific realism claims that it is true because the testability of realism makes it scientific.

A key problem in the strong version of realism is the fact that history reveals science as fallible.

Ian Hacking, a realist, states that anti-realists place an inappropriately strong emphasis on what can and cannot be observed and pay insufficient attention to what can be practically manipulated in science.

Hacking maintains that an entity is real in science if it can be manipulated by science.

Some realists hold that scientific realism is too strong and attempt to weaken it.

Popper and his followers adhere to conjectural realism. Conjectural realism stresses the fallibility of our knowledge and admit that numerous theories in the past have been falsified and that we have no idea which current theories will be falsified in the future

The conjectural realist, however, still maintain that the aim of science is to discover the truth about what really exists and theories are to be judged on the extent to which they can fulfill this aim.

Conjectural realists will insist that their position is the most fruitful one in science, but will not call it a scientific position.

Conjectural realists hold that scientific realists' position as too ambitious.

Conjectural realism is a philosophical position, not a scientific one.

Conjectural realism has not criteria of judging true theories or false theories. They only recognize that in the past there have been false theories.

[Idealisation]

One objection to realism is that its theories cannot be taken as literal because it idealizes the world in a way it is not.

Theoretical descriptions are idealizations that cannot correspond to real-world situations.

Chalmers claims that the idealization of theoretical science do not pose the difficulties they are thought to.

[Unrepresentative realism or structural realism]

Science is dominated by realism because it attempts to discover reality.

Structural realism sees the theories as being more than calculating tools (anti-realism's position) but are still useful as such when they prove to be false.

Friday, November 17, 2006

What is this thing called science? Ch. 14

(Originally written November 17, 2006 in Book 8)

What is this thing called science?
Ch. 14 - Why should the world obey laws?

[Introduction]

This section deals with the ontological questions.

What kind of entities are assumed to or shown to exist by modern science? Why do we assume that there are laws that govern the environment's behavior?

The notion that laws govern the world and that it is the aim of science to discover them is commonplace.

What makes matter conform to laws? This is highly problematic.

[Laws as regularities]

One way of dealing with natural laws is to deny them as David Hume did. This line of thinking brings causation into question.

Laws are seen as matter of fact realities by Hume. They appear regular and that's why we label them as laws, though they aren't.

A problem with this view is that we see regular before and after things all the time and do not label them as laws.

There is more to laws than mere regularity.

If laws are taken as exceptionalness regularities than no scientific law qualifies because there are always exceptions.

When proponents of law as regularity are confronted with difficulties they reformulate the law from "when X, Y follows" to When X, Y normally follows unless some extra condition denies it".

But, after adding a condition, experiments are made null and void because the laws cannot be tested under any other condition than the one specified.

[Laws as characteristics of powers or disposition]

The world is active. Thus, natural objects behave in the way they do because they have the power or disposition to behave that way.

Laws can then be understood as characteristics of material things' tendencies.

Causes and laws are intimately linked in this view. "Events are caused through the action of particulars that possess the power to act as causes" (Chalmers, 219).

Law-like behavior is brought about by efficient causation.

Many philosophers reject this view of ontology because it seems primitive. Chalmers questions why this is so. Scientists invoke powers and dispositions in their work all the time. Chalmers admits though that there are laws of science that do not fit nicely in this scheme.

[Thermodynamic and conservation laws]

The first and second laws of Thermodynamics and a host of conservation laws in fundamental particle physics do not mesh well with the dispositional account of laws.

The first and second laws of Thermodynamics cannot be construed as causal laws.

A large range of laws within physics can be understood as causal laws, but a few cannot. "What makes systems behave in accordance with the laws of conservation of energy? I don't know. They just do. I am not entirely comfortable with this situation, but I don't see how it can be avoided" (Chalmers, 225).

Wednesday, November 15, 2006

What is this thing called science? Ch. 13 (B)

(Originally written November 15, 2006 in Book 8)

What is this thing called science?
Ch. 13 (Continued)

According to Mayo, an experiment constitutes support for a claim only if possible sources of error have been eliminated so that the claim would be unlikely to pass the rigorous test unless it were true.

The new experimentalists are generally concerned to capture a domain of experimental knowledge that can be reliably established independent of high-level theory.

Scientific knowledge is thus experimental knowledge confirmed by experiments. The growth of scientific knowledge is the accumulation and extension of experimental laws.

[Learning from error and triggering revolutions]

Mayo is also concerned with how well-conducted experiments enable us to learn from error.

An experiment offers a falsification; but, it also serves to identify an effect not perviously known.

The positive role of error detection in science comes out in Mayo's reformulation of Kuhn's notion of normal science.

Mayo identifies normal escinde with experimentation.

The experimentalists' detailed knowledge of the effects at work in an apparatus puts him or her in a position to be able to learn from error.

[The new experimentalism in perspective]

The new experimentalists have shown how experimental results can be substantiated. They have shown the products of experimental effects were highly independent of theory.

They see science as an accumulation of experimental facts.

To them, the best theories are those that survive severe experimental testing.

They have shown how rival theories can be brought together and shown how experiment can lead to scientific revolutions.

Experimentalism has brought philosophy back down to earth. But, Chalmers says that experimentalism is not the final answer.

Experimentalism seems to give too little emphasis to the theories of science.

Experimental knowledge is great, but to apply it to anything a theory is needed.

A problem with the new experimentalism is their concept of experimenting with he same type of experiment. What constitutes as the same type of experiment? Judgments made about what constitutes as a similar type of experiment must be made against a theoretical background.

Despite its efforts, the new experimentalism cannot eliminate theory or high-level theory from science.

[Appendix: Happy meetings of theory and experiment]

The merit of theory is demonstrated by the extent of which it survives severe tests.

The new experimentalists, though they try their best, cannot completely sever theory from the philosophy of science. Any adequate philosophy of science must include theory and experimentation.

Tuesday, November 14, 2006

What is this thing called science? Ch. 12

(Originally written November 14, 2006 in Book 8)

Chapter 12: The Bayesian Approach

[Introduction]

The reliability and practical use of science's predictions in recent history may highlight that philosophers of science have exaggerated the fallibility of theories.

The Bayesians have gravitated to this view and stated that something has gone radically wrong in philosophy of science.

Bayesian are followers of Thomas Bayes, an 18th century mathematician who proved a probability theory.

[Bayes' Theorem]

The theorem is about conditional probabilities. Conditional probabilities are those propositions who depend on the evidence bearing on those propositions.

Bayes' theorem is a method of prescribing how probabilities are to be changed in the light of new evidence.

Bayes' Theorem:

P(h/2) = P(h) P(e/h)/P(e)

P(h) is prior probability of hypothesis 'h'
P(h/e) is posterior probability: the probability of 'h' in light of 'e'

Bayes' theorem indicates that prior probability is to be changed by a scaling factor in light of evidence 'e'.

The weight of evidence 'e' will strengthen or weaken the original probability. Thus P(h) will become P(h/e) and P(h/e) will become more or less probable than P(h) based on the evidence 'e'.

'e' will be 1 if it proves 'h'.
'e will be 0 if it disproves 'h'.
If it neither proves more disproves 'h' its value will be greater than 0 and less than 1

"The extent to which some evidence supports a hypothesis is proportional to the degree to which the hypothesis predicts the evidence" (Chalmers, 176).

If the evidence is confirmed the hypothesis is confirmed and the opposite (and the in between).

The Bayesians allow and need auxiliary assumptions in their theory.

Bayes' theorem is a theorem.  It takes for granted some minimal assumptions about probability.

The minimum assumptions are probability calculus (which is widely accepted).

[Subjective Bayesianism]

The Bayesians disagree on a fundamental question concerning the nature of the probabilities involved.

According to objective Bayesians the probabilities represent probabilities that rational agents ought to subscribe to in the light of the objective situation.

Objective Bayesians hold that probabilities are distributed equally and then the Bayes' theorem is used to modify the probabilities in the light of the evidence.

A major problem with this approach is how to ascribe objective prior probability to hypotheses.

Where is a list of hypotheses to be found in any given field? A possible list could be infinite. In such a case all probabilities will be 0 and Popperian falsficationism is proved right.

Subjective Bayesian is different to the objective versions.

Scientists take certain things for granted and thus probability is not initially evenly distributed. Probabilities are assigned based on subjective beliefs.

The subjective Bayesians take the degrees of belief in hypotheses that scientists take as a matter of fact as the basis for the prior probabilities in their Bayesian calculations.

"Bayesianism makes a great deal of sense in the context of gambling" (Chalmers, 179).

Linehan - I just thought it was funny.

The degree of belief held by a scientist is analogous to the odds on a horse in a fair race.

Not all Bayesians will make the same choice between alternatives when applying the Bayesian calculus to science.

Any attempt to understand science and scientific reasoning in terms of subjective beliefs of scientists would seem to be disappointing for those who seek an objective account of science.

Bayesians insist that the Bayesian theory constitutes an objective theory of scientific inference.

The Bayesians see their approach as similar to logic. Logic doesn't care where the premises come from, only if the conclusion flows from the premises.

Bayesians can take the argument further and state that while scientists can be subjective in assigning prior probability, the Bayes' theorem, if applied correctly on the evidence will bring scientist's to the same conclusion regardless of their starting points.

Applications of the Bayesian Formula

There is a low of diminishing return in science that states once a theory has been confirmed by an experiment once, repeating the same experiment under the same circumstances will not be taken as confirming a theory to as high a degree as the first experiment did.

The Bayesian formula captures the essence of the law of diminishing return.

IF the theory "T" predicts the experimental result "E" then the probability of P(E/T) is 1.

The probability of T is to be increased in the light of a positive result E each time the experiment is performed, consequentially the probability of a theory being correct will increase by a smaller amount each time it is performed.

The Bayesians claim to be able to capture the rationale of Lakatos' ideal that confirmations, not falsifications are the key to scientific development.

Lakatos' 'methodological decisions' seemed plausible in his account, but he gave no proof for it. The Bayesians provided a basis for it.

Bayesianism also helps to eliminate ad hoc modifications.

[Critique of subjective Bayesianism]

One criticism is that by embracing subjective probabilities is too much of a concession to be able to attribute probabilities to theories.

There are two major problems with Bayesianism's approach. A Bayesian must know what any scientist felt about a degree of belief.
1) Gaining access to a scientist's degrees of belief is problematic
2) The implausibility of private beliefs having anything to do with a superiority of a theory or another one is also problematic

These problems are intensified when a collaborative work produces results. Whose beliefs are to be the factor in this account?

The extent to which degrees of belief are dependent upon prior probabilities is also another problem.

The subjectiveness of the starting point of the Bayesians makes it impossible for it to be an objective scientific method. If the starting point is gone all that is left is the Bayes' theorem which without science proves nothing.

What is this thing called science? Ch. 11

(Originally written November 14, 2006 in Book 8)

What is this thing called science?
Alan Chalmers

Chapter 11 - Methodological Changes in Method
[Against Universal Method]

Feyerabend made a strong case against the various accounts of scientific method by showing the incompatibility of these accounts and Galileo's advances in physics and astronomy.

Chalmers states that he takes issue with Feyerabend's historical accuracy, but states that the various scientific methods still fall short with the corrected history.

Feyerabend makes a strong case against a universal, ahistorical method of science.

Feyerabend represents one extreme: not method. Other methods represent the other extreme: dogmatic method.

Feyerabend gives no attack against a fluid, revisable method within any particular science.

Chalmers proposes that there is a middle ground between the two extremes. There are historically contingent methods and standards implicit in any successful science.

A common response to a middle-road approach is that if a scientific method is to change then it must be shown that it changes for the better to avoid extreme relativism. In order for there to be a way to show that any change is a change for the better there must be a standard to judge the standards. Any standard to judge the standards is a super standard or a universal, which Feyerabend thoroughly decimated.

John Worrall proposed an argument like this and concluded that there must be either a universal method or relativism.

[Telescopic for naked-eye data: a change in standards]

Aristotelian opponents of Galileo held that the senses and experience should be our guide in philosophizing and the criterion for science.

Aristotelians backed up the primacy of the senses with a teleological argument.

The Function of the senses was to provide us with information about the world. Because of this it makes no sense to believe that the senses systematically mislead us because that is the opposite of their function.

Galileo had to argue against this Aristotelian/Thomistic mind-set to introduce the telescope and telescopic data.

Feyerabend claims that Galileo resorted to propaganda and trickery to overcome this dilemma.

In fact though, Galileo used his hypothesis, not propaganda to prove his point. The dependence of irradiation is the test he used to change the mind-set of the scientific community. Galileo proved that the eye was misleading when it viewed small light sources (i.e. the stars, planets) at a distance. The telescope removes the irradiation and thus yields more reliable data.

[Piece meal change of theory, method and standards]

Galileo was able to convince his rivals in such a short time-span because he and his rivals showed a lot of common theoretical beliefs.

At any stage, a science will have some specific aims and some methods to meet their knowledge aims.

Science is like a web that grows and catches new things in it.

"Any part of the web of aims, methods, standards, theories, and observational facts that constitute a science at a particular time can be progressively changed, and the remaining part of the web will provide the background against which a case for the change can be made" (Chalmers, 170).

The entire web cannot change at once because the thing would collapse.

[A light hearted interlude]

Opponents of Chalmer's middle-road method would state that rival theorists appeal to some higher or more general standard if they shared aims. Thus there is a universal method (though unarticulated or inarticulate whatever)

Chalmers concedes that there is a common sense version of the universal scientific method. "Take argument and the available evidence seriously and do not aim for a kind of knowledge or a level of confirmation that is beyond the reach of available methods" (Chalmers, 171).

But this concession, if it is the end, all puts all philosophers of science out of business because the formulation this method could be done by anyone with any common sense.

Also once the common sense view has been stated, any further investigation will vary from science to science and be played against an historical backdrop.

An appreciation of the common sense view of the scientific method is sufficient enough to resist socialists and post-modernists who downplay the special status of science on the grounds that scientific knowledge panders to some special interest group.

Michael Mulkay, a post-modernist drew the conclusion that a sociological categorization of science is made necessary by the failure of what he terms the standard view

What is this thing called science? Ch. 10

(Originally written November 14, 2006 in Book 8)

What is this thing called science?
Alan Chalmers

Ch. 10: Feyerabend's anarchistic theory of science

[story so far]

It has been a struggle to distinguish scientific knowledge from any other type of knowledge.

[Feyerabend's case against method]

Feyerabend argued that science posses no features that render it superior to any other knowledge pursuit.

Feyerabend sought to undermine philosophers' attempts to characterize method and progress in science.

Feyerabend insists that scientific theories that are unaccepted or unacceptable in a certain time make use of propaganda to gain acceptance.

Feyerabend teased Lakatos for being so lax in his standards he cannot rule anything out as a non-science.

Feyerabend rejected Kuhn's claim of social consensus of the scientific community because he felt the appeal to consensus of a community was incapable of distinguishing science from other activities.

Feyerabend claimed he had proved there is no way of establishing science as special. Thus, we ought not to claim its superiority.

Feyerabend saw a high regard of science as a dangerous dogma. Dogmatic science plays a repressive role like the Church played for centuries.

[Feyerabend's advocacy of freedom]

Feyerabend's theory of science is formulated in an ethical system that emphasizes individual freedom.

Feyerabend saw individual freedom as the means to creating the best human beings. By removing the methodological constraints placed on scientists, individuals will be free to choose between science and other forms of knowledge.

The institutionalization of science was something that Feyerabend fought against.

He stated that we need to "free society from the strangling hold of an ideologically petrified science just as our ancestors free us from the strangling hold of the One True Religion" (Chalmers, 156).

Feyeabend advocated for an ideologically neutral state.

Feyerabend claims that philosophies of science are based on aesthetic judgments, judgments of tastes, metaphysical prejudices, religious desire and other subjective feelings.

"There is no scientific method, then scientists should follower their subjective wishes. Anything goes" (Chalmers, 157).

[Critique of Feyerabend's individualism]

A central problem with Feyerabend's account of freedom is that it is entirely a negative account. Freedom is simply more than a freedom from constraints.

Scientists are free only to the extent that they are free to choose from various available techniques in their given field.

Another major problem with Feyerabend is his notion of an ideologically-neutral state. It is childishly naive.

What is this thing called science? Ch. 13 (A)

(Originally written November 14, 2006 in Book 8)

What is this thing called science?
Chapter 13 - The New Experimentalism

Introduction:

If the Bayesian account of scientific inference failed, we have not proven much at all about the characterization of what is distinctive about science.

Popper used theory-dependence of observation to poke holes in positivism and inductivism. Popper's account was, however, unable to prove what was falsified: a theory or a part of a theory.

Corrections to Popper's account, like Kuhn and Lakatos became even more theory-dependent. Bayesianism is also a theory-dependent case and suffers the same problems.

Feyerabend saw this and chucked science and took it off its pedestal.

Modern philosophers of science are split; but, some of them are attempting to get off the theory-dependent train without returning to positivism's naive belief in the reliability of sense-datum.

If scientific progress is the steady build-up of experimental knowledge then the philosophy of science's notion of science as being the accumulation of facts can be reinstated in a way that is not destroyed by old arguments.

[Experiment with life of its own]

If experiment is the basis for science then a theory-dependent or fallible account of science is unnecessary and wrong.

Knowledge of the experimental factors can be more valuable then theoretical knowledge.

[Deborah Mayo on severe experimental testing]

Mayo focuses on the detailed way in which claims are validated by experiment.

She holds that a claim can only be said to be borne out of experiment if the claim has been severely tested by experiment and has never been shown to be false


Wednesday, November 8, 2006

What is this thing called science? Ch. 9

(Originally written November 8, 2006 in Book 8)

What is this thing called science?
Alan Chalmers

Chapter 9 - Theories as Structures II: research programs

[Introducing Imre Lakatos]

Lakatos was an Hungarian who moved to England and was influenced by Popper. Although an avid Popper supporter, Lakatos was able to recognize the problems of falsificationism. He grafted some of Kuhn's work into sophisticated falsificationism.

[Lakatos' Research Programs]

Main problem with Popper's falsificationism was no clear guidance in determining what was falsified in an experiment.

Lakatos claimed that not all laws are equal in science. Some laws are so fundamental to be the nature of a science. These cannot be falsified.

The fundamental principles are the "hard core" of a research program to Lakatos.

Lakatos called all additions to the hard core as the protective belt. Thus, things falsified in the protective belt do not harm the hard core.

Lakatos made free usage of a heuristic. A heuristic is a set of rules or hints to aid discovery or invention.

The positive heuristic of a program stresses what one should do.

Lakatos emphasized the development of research programs as the progress of science.

He stressed the fact that observational statements become relevant in late stages of development.

Lakatos states that it is not the early falsification of observations, but late, mature confirmations of observations that truly matter.

The merits of a research program come from both the extent it leads to novel predictions and the extent it actually affects a program.

A progressive research program will retain its coherence and lead to confirmation of novel predictions.

A degenerating research program will be one that loses its coherence and will be one that loses its coherence and/or fail to lead to novel predictions' confirmations.

"The replacement of a degenerating program by a progressive one constitutes Lakatos' version of a scientific revolution" (Chalmers, 135-136).

[Methodology within a program and the comparison of programs]

A modification or addition to any field's protective belt is the purpose of science, so long as they are not ad hoc.

Modifications to the hard core are strictly prohibited by Lakatos.

Lakatos was dissatisfied with Kuhn's relativist account of scientific revolution and proposed that progressive replacing degenerating programs was not relative.

[Novel Predictions] pg 138

Lakatos' progress relied heavily on novel predictions.

Novel predictions as defined by Popper would not fit into Lakatos' system.

Lakatos' methodology states that a program is progressive to the extent that it makes natural, not novel or contrived or ad hoc predictions.

[Testing the methodology against history]

Lakatos was concerned with the history of science.

A theory of science must match an historical account of science.

Popper and Lakatos regarded Kuhn's analysis of science as mere description and thus, not a viable philosophy of science.

Lakatos criticizes positivist and falsficationist models for philosophy of science because they do not fit in with the facts of the history of science.

Research programs are given time to mature and develop despite early falsifications.

But Lakatos does not give a guideline to scientists who need to choose between two rival programs. There is no objective way of choosing.

[Problems with Lakatos' Methodology]

Lakatos' method is not an accurate description of science? Where are the historical hard cores?

Lakatos insists that program shifts must be via rational inquiry, but there is no historical or contemporary factual basis for this.

Lakatos simplicity suggests that his methodology answers the question of what, if anything, constitutes scientific knowledge.

Lakatos claims that the central problem in the philosophy of science is stating universal conditions under which a theory is scientific.

Lakatos' claim of solving these problems proved to be a farce and his criteria inadequate for objectively determining when a program is progressive, degenerative or in need of replacement.

His theory worked well in hindsight, but was not capable of foresight.

Another major flaw of Lakatos' theory was that he emphasized the historical significance and studied only physics. He then applied it to other studies. Thus, he stated only that a study is not science if it does not match physics' criteria. But if something is not physics does that make it not science?

What is this thing called science? Ch. 8 (B)

(Originally written November 8, 2006 in Book 8)

What is this thing called science?
Alan Chalmers

Ch. 8 continued...

Every paradigm has its puzzles to solve. When they encounter a problem that is too serious or problems that are too serious, a crisis will occur.

If a crisis is too big to overcome it "may lead to the rejection of a paradigm and its replacement by an incompatible alternative" (Chalmers, 112).

Anomalies will occur all the time in a paradigm. These will only become a crisis if the anomaly strikes at the foundation of a paradigm.

Anomalies can trigger a crisis due to some sociological needs.

Extremely serious anomalies and a mass number of anomalies can trigger a crisis.

When a crisis is undermining the confidence of proponents of any paradigm a revolution will occur.

The situation is exasperated when a rival and incompatible paradigm emerges.

Rival paradigms will be wholly incompatible. They will ask different questions and assert different standards.

Paradigms guide a scientist's worldview.

Rival paradigms are not chosen as better due to logical supremacy; the switch is sort of like a "gestalt switch" or a "religious conversion"

Kuhn compares scientific revolutions to political revolutions.

For many reasons, Kuhn calls rival paradigms "incommensurable".

Scientific revolutions are successful when a majority of scientists in any field switch paradigms, then holdovers to the old paradigm are obsoleted and left to die.

[The function of normal science and revolution]

Kuhn's account of science is very describe but includes a theory of science because he describes the function of science. He claimed that normal science and revolution have necessary functions in science.

Normal science serves the function of giving the opportunity for scientists to develop a theory.

Normal science creates a safe zone for experimentation. If all scientists were critical of the paradigm, no advances would be made.

Revolution is needed for science to advance.

[The merits of Kuhn's account of science]

Kuhn nailed the descriptive element of science.

Kuhn vs. Popper on differentiating science from astrology:
Popper claims astrology is non-science because it is either unfalsifiable or falsified. (Neither of these is an adequate rejection of astrology.) Kuhn's utilization of the paradigm adequately debunks astrology as a science.

[Kuhn's ambivalence on progress through revolution]

Kuhn is notoriously ambiguous.

Kuhn is relativistic in his account of scientific progress.

Kuhn's denial of relativity in the scope of scientific progress disagrees with his other relativistic claims.

Kuhn's sociological emphasis also emphasizes a relativist view point.

[Objective knowledge]

Kuhn claims that a scientific revolution is analogous to a gestalt shift and yet can occur over time.

Chalmers claims that Kuhn is confusing two types of knowledge here, subjective and objective.

The relationship between one paradigm to another is an objective knowledge, but the switch from one to the other by any given scientist is a psychological one, thus a subjective one.

Tuesday, November 7, 2006

What is this thing called science? Ch. 8 (A)

(Originally written November 7, 2006 in Book 8)

What is this thing called science?
Alan Chalmers

Chapter 8 - Theories as structures in Kuhn's paradigms

[Theories as Structures]

Historical investigations of science prove that inductivism and falsificationism are inadequate to explain evolution and progress in science. To explain science more adequately one must look at theories as structures and as the framework of science.

Concepts derive their meaning from the role they play in any given theory.

[Introducing Thomas Kuhn]

Thomas Kuhn challenged inductivism and falsificationism in his book The Structure of Scientific Revolution in 1962.

Kuhn focused on the history of science to explain the knowledge in science and saw inductivism and falsificationism were inadequate.

He focused on the nature of scientific revolutions. He also focused on the sociological characteristics of scientific communities.

Kuhn's science progress model:
1. Pre-Science
2. Normal Science
3. Crisis
4. Revolution
5. New Normal Science
6. New Crisis

A paradigm is composed of general theoretical assumptions, laws and techniques that a given scientific community has adopted.

Normal science is a science dictated by a specific paradigm.

In operating in a paradigm normal science will face numerous falsifications. If it becomes too serious a crisis will occur.

A crisis is resolved when a new paradigm emerges. This is a scientific revolution.

[Paradigms and Normal Science]

A single operating paradigm distinguishes normal science from non-science.

Each paradigm will possess explicit, fundamental laws and theories.

Paradigms will have standard ways of applying the fundamental laws in experimentation.

Paradigms will possess techniques and procedures for experiments.

A general, metaphysical set of assumptions will also be contained in a paradigm.

Vague general methodologies will also be involved in any paradigm.

Normal science's aim is matching a paradigm with the way nature actually operates.

Normal science is puzzle-solving activities governed by the rules of a paradigm.

Puzzles within a given paradigm that are insolvable are anomalies.

Kuhn recognize anomalies, but rejects all forms of falsificationism.

Normal scientists must accept a paradigm. Acceptance of a paradigm distinguishes normal science from pre-science.

Kuhn admits it is impossible to precisely describe or define a paradigm.

Scientists in any field which accepts a paradigm will be able to articulate basics of that paradigm and despite being able to articulate the whole precise nature of that paradigm it is still a vital and necessary part of science.

[Crisis and Revolution]

PP 112 - 173 need to be done. I need a quick nap. God help me to wake at 4 am and finish!

What is this thing called science? Ch. 7

(Originally written November 7, 2006 in Book 8)

What is this thing called science?
Alan Chalmers

Chapter 7 - The limits of falsificationism

[Problems stemming from the logical situation]

Scientific laws cannot be logically deduced from a set of observable facts.

The falsity of a law can be logically deduced from a single observable fact.

Falsificationism begins to experience problems in complex situations because it is impossible to deduce from logic whether a law or a theory is false or if the evidence used to debunk the theory/law is false.

Straightforward, conclusive falsifications of theories are not achievable.

Scientific theories are super complex and consist of various universal statements.

All theories need to be augmented by auxiliary assumptions.

Auxiliary assumptions include laws and theories governing the use of instruments in experimentation.

Experimentation also involves many extra set of premises and auxiliary assumptions.

So when an experiment proves something false who can be sure that the scientific law or an auxiliary assumption or a condition is what is false. No one can say for certain.

When a theory cannot be conclusively falsified because the possibility that the auxiliary assumption or a part of the experiment is faulty, falsificationism proves to be inadequate. When this happens it is called the Duhem/Quine thesis.

Falsifications of a theory can also be avoided by deflecting the falsification to some other part of the complex theory. The objectivity of science goes out the window as scientists cling to their precious theories.

[Falsificationism inadequate on historical grounds]

Falsificationism fails to be represented by the history of science. If it had been strictly adhered to then some of our most important scientific theories would have been abandoned in their infancy. Some of these are:

  • Newton's gravitational theory
  • Bohr's theory of the atom
  • Kinetic theory
  • Copernican Revolution
The Copernican Revolution

The Copernican Astronomy system of the 16th century challenged the Aristotelian system (4th century B.C.) and the Ptolemaic system (2nd century).

Copernicus could not adequately defend his system against the scientific community.

Falsificationism would have ruled out Copernicus' system from the onset.

Galileo's addition to the Copernicus system through the verification of Copernicus' predictions via the use of a telescope chipped away at the dogmatic belief in the Aristotelian/Ptolemaic system.

The use of a telescope also raised serious epistemological questions. Why should the data collected via the telescope be more reliable than data collected through the naked eye?

Kepler further defended the Copernican theory using Galileo's mechanics, Copernicus' astronomical theory and Tyco Brahe's recording of planetary positions and made a strong defense of Copernican theory.

Newton then furthered the theory. 

Neither inductivism nor falsificationism gives an account of science that is compatible with the Copernican Revolution.

The Copernican Revolution took hold in spite of the many falsifications in the early, imprecise theory formulations.

[Inadequacies of the falsificationist demarcation criteria and Popper's response]

"Popper made a seductive case for his criterion of demarcation between science and non or pseudo-science" (Chalmers, 101-102).

Popper claimed that non-qualified falsificationism was too broad. Popper claims that theories must be falsifiable and must not be falsified. Popper claims the modifications to falsified theory is acceptable in his sophisticated falsificationism.

Dogmatic science is allowed in Popper's theory.

If dogmatism becomes part of falsificationism then what role does falsificationism really play?

"It would be ironic if the highly qualified version of falsificationism became so weak as to rule out nothing, thereby clashing with the main intuition that led Popper to formulate it" (Chalmers, 103).

Friday, November 3, 2006

What is this thing called science? Ch. 6

(Originally written November 3, 2006 in Book 8)

What is this thing called Science?
Alan Chalmers

Chapter 6 - Sophisticated falsificationism, novel predictions and the growth of science

Relative rather than absolute degrees of falsifiability

Sophisticated falsificationism admits that "the more falsifiable the better" is insufficient

Sophisticated falsificationism holds that a theory must be more falsifiable than the one it is replacing.

Sophisticated falsificationism emphasizes the growth of science

It takes a more holistic view than naive falsificationism

Increasing falsifiability and ad hoc modifications

As a science progresses its theories ought to become more falsifiable

Any modification to a theory that is not independently testable is ad hoc and rejected by falsficationism

Popper claims that independently falsifiable modifications are acceptable is falsificationism

Confirmation in the falsifications account of science

Popper claims that advances in science are due to falsifications. Chalmers claims that confirmations of bold conjectures are the cause of scientific advance. Falsifications of cautious conjectures also leads to advances because what was once held to be undoubtedly true is proven false.

Falsified bold conjectures and confirmed cautious conjectures yield little importance.

Confirmations of novel predictions yield great discovery.

Boldness, novelty and background knowledge

Boldness and novelty is based on the relativity of background knowledge.

Background knowledge is merely the accepted scientific theory of a given point in time.

What was bold or novel in 1920 is not bold or novel now and what is bold or novel now may not be bold or novel in 2050 and so on.

Comparison of the inductivist and falsificationist view of confirmation.

The emphasis on scientific growth distinguishes falsificationism and inductivism.

Falsificationism relies on history. Inductivism does not.

Advantages of falsificationism over inductivism

1. facts and experimental results are theory dependent and fallible.

Inductivism claims science has a factual, not theoretical base, but since facts and experiment results are theory-dependent and fallible it is problematic for inductivism

falsificationism does not face the problem of inductivism

Inductivists have trouble explaining and justifying inferences; falsificationism avoids these by claiming induction has nothing to do with science.

Inductivism aims at probable truth, which they fail to deliver. Falsificationism aims for progress, which it delivers. But does this lead us anywhere?

What is this thing called science? Ch. 5 (B)

(Originally written November 3, 2006 in Book 8)

What is this thing called science?
A. Chalmers

Ch. 5

Falsifiability as a criterion for theories

Falsifications sees science as a set of hypotheses that are proposed with the aim of describing one aspect of the world.

Any hypothesis must be falsifiable.

To be falsifiable a theory must have a logically possible observation statement(s) that is inconsistent with it and if any of those observations come true the hypothesis is falsified.

Falsifiability is a prerequisite to a law or theory having the ability to be informative.

Falsifiability is key in science. "If a theory is to have informative content it must run the risk of being falsified" (Chalmers, 65).

Degree of falsifiability, clarity and precision

The more falsifiable a theory is the better.

Scientific theories should be wide ranged and over arching.

More falsifiable theories should be preferred over less falsifiable ones, but once a theory has been falsified it must be ruthlessly rejected.

Bold conjectures are to be preferred over irrelevant truisms.

Refutations of theories is a good thing because we learn from our mistakes. By "finding that our conjecture was false we shall have learnt much about the truth, and shall have gotten nearer to the truth" (Chalmers, 66-67).

Falsificationism demands concise, articulate theories. Vagueness and ambiguity is kicked out by falsificationism.

Falsificationism and progress:

1. Science begins with problems
2. Falsifiable hypotheses are proposed to solve the problems
3. Conjectures are criticized and tested
4. Elimination of falsified conjectures
5. Surviving conjectures are tested again, more vigorously
6. A problem is solved and a new problem emerges
(Repeat)

Problems come from straightforward observations. But they come only in a given theory.

Falsificationism, Inductivism and Kuhn Notes

(Originally Written November 3, 2006 in Book 8)

Ok, so we are in trouble because of a time crunch. The test is in 1.5 hours. It's time to sum up.

Falsificationism:

I. Naive Falsificationism and its problems

  • A hypothesis must be falsifiable in order to be informative.
  • Anything that is unfalsifiable can make all situations fit their theory. This makes the theory look good; but, it neither proves anything nor denies anything. It simply explains events according to a theory.
  • Since hypotheses must be falsifiable, the more falsifiable a theory is the better it is.
  • Problems - 
    • "Since hypotheses must be falsifiable, the more falsifiable a theory is the better it is" is very vague
    • Naive falsificationism takes too static or too isolated a view on individual theories.
    • "A hypothesis must be falsifiable in order to be informative" is in fact, a non-falsifiable statement. How can you falsify it?
II. Falsifiability as a criterion for scientific theories. 
  • Science is a set of hypotheses to explain a certain aspect of the world.
  • A hypothesis must be falsifiable to state anything informative
  • A non-falsifiable hypothesis can look sound but cannot explain anything or deny anything.
  • Falsification makes it informative and if science is to be informative it must be falsifiable
III. Ad Hoc Modifications and Popperian (Sophisticated) Falsificationism
  • Ad hoc modification - any modification to a theory that has no independent testability
  • Relativity of falsifiability - Naive falsificationism claims that a more falsifiable hypothesis is better. Sophisticated falsifiability claims that a falsifiable hypothesis ought to be replaced by a more falsifiable hypothesis
  • Aim of science - The aim of science is to falsify hypotheses and replace them with better ones.
  • Confirmation is key in sophisticated falsificationism (Chalmers)
IV. Confirmation in the falsificationist model
  • Bold conjectures are better than irrelevant truisms
  • Bold conjectures that are not falsified lead to novel predictions
  • The bolder the conjecture the better
  • Refutations help to eliminate falsehoods which in turn reveals more truth
V. Problems with Falsificationism
  • Theory dependence of observation: There is no absolute objectivity in science.
  • Falsifications are fallible
  • Ad Hoc modifications
  • Auxiliary assumptions
  • Falsificationism is not recommended by the History of science
    • The Copernican Theory, for example, would have been rejected before adequate technology could confirm it.
Inductivism:

I. Inductivism and its problems
  • Science is inductively derived from the facts
  • Science has a factual basis, not a theoretical one
  • Observation precedes theory
  • Problems
    • Facts and experimentation are theory dependent and fallible
    • What is the criteria for a good inductive inference?
    • Science is not the mere accumulation of facts. Relevant theories and methods must precede observation
II. The problem of induction
  • How can knowledge of the unobservable be derived from observable facts?
  • Solutions
    • Hume - animal faith
    • Kant - induction is grounded in a priori, not observation
    • Will - Past futures resemble past pasts. Therefore, future futures will resemble past pasts and future pasts. (This begs the question)
    • Reichenbach - pragmatic approach: "if anything works, induction will"
The Problem of induction

I. Hume's Fork (Two types of knowledge)
  • Relation of ideas
  • Matters of fact
  • Where does the concepts of uniformity of nature and causality lie? They are neither a relation of ideas nor a matter of fact.
    • Hume's solution - Animal faith or a habit 
II. Kant's response - inductive inferences are grounded in a priori concepts

III. Will states that past futures resemble past pasts so future futures will resemble past futures and past pasts.

IV. Reichenbach - (Pragmatic) "If anything works, induction will"

Kuhn's paradigms 

I. Nature of scientific paradigms/incommensurability of paradigms
  • Paradigms are relative to their specific field
  • Paradigms possess:
    • Specific accepted laws and theories
    • Specific accepted approaches to experimentation
    • Specific accepted metaphysical generalities
    • Specific accepted methodologies
  • Paradigms are incommensurable because they cannot fit with each other at all
  • They are incommensurable because they ask different questions and hold different value systems
  • The incommensurability of paradigms leads to the crises and revolutions
II. Paradigm shifts
  • Pre-Science - disorganized research, no paradigm
  • Normal science (caused by Pre-Science) - puzzle solving activity governed by an accepted paradigm
  • Anomalies - unsolved puzzles 
  • Crisis (caused by Anomalies) - serious anomalies will cause crisis
  • Revolution (caused by crisis) - If the crisis is not resolved revolution will occur and a new paradigm will emerge
III. Criticism of Kuhn
  • Ambiguous
  • Relativity
  • Criteria changes within his method
  • Is there progress or is there paradigm shift?


Thursday, November 2, 2006

What is this thing called science? Ch. 5 (A)

(Originally written November 2, 2006 in Book 8)

What is this thing called science?
A. Chalmers

Ch. 5 - Introducing Falsificationism

Introduction

Popper was the most forceful advocate of falsificationism.

Educated in Vienna in the 1920's (the heyday of Logical Positivism)

Rudolph Carnap (a positivist) had a large following and his supporters clashed with Popper's until the 1960's.

Popper became disenchanted with inductivism because of the Freudian and Marxists and their using it in their theories to make all facts fit into their systems. These systems appeared to be powerful because they were affirmed by a wide variety of facts, but could neither prove anything nor disprove anything.

Popper claimed that true scientific theories are falsifiable.

Falsficationism freely admits that observation is guided by and presupposes theory.

Science is to progress by trial and error and by conjectures and refutations.

Theory in falsification cannot be true, but it can be hopefully said to be the best available.

A logical point in favor of falsificationism

Some theories can be shown to be false through the results of observation and experiment.

This has a logical flavor to it.

The falsity of universal statements can be deduced from suitable singular statements.

Monday, October 30, 2006

What is this thing called science? Ch. 4 (B)

(Originally written October 30, 2006 in Book 8)

What is this thing called science? Ch. 4
A. Chalmers

To avoid the problem of induction one can weaken the demand that scientific knowledge be proven true. Instead, scientific knowledge would be probably true.

Thus, under this assumption the principle of induction would be as follows: "if a large number of A's have been observed under a wide variety of conditions, and if all these observed A's have the property B, then all A's probably have the property B" (Chalmers, 51-52).

Unfortunately, this reformulation does not solve the problem of induction, It is still a universal statement; it still relies on a number of particulars producing a universal.

Another major problem faced by the inductivist is that how probable is probably true?

"We are bound to run into trouble if we seek rational justifications of every principle we use, for we cannot provide a rational argument for rational argument itself without assuming what we are arguing for" (Chalmers, 53).

Logic cannot even be argued for in a way that doesn't beg the question a little bit.

The appeal of inductivism

Facts acquired through observation --> Induction --> Laws and theories --> Deduction --> Predictions and explanations

Inductivism does not search for truth of premises in a deductive argument in logic. The source of the premises' truth is in experience.

The general form of all scientific explanation and predictions can be summarized this way:

1. Laws and theories
2. Initial conditions
3. Predictions and explanations

The attraction of inductivism lies in the fact that it seems to capture some of the commonly held intuitions about the special characteristics of scientific knowledge, including:

1. Objectivity
2. Reliability
3. Usefulness

The objectivity of science from the inductivist point of view is derived from the objectivity of observation, induction, and deduction process.

Observation is objective if and only if they are established by an unprejudiced use of the sense in such a way that leaves no room for intrusion by subjective opinion.

Induction and deduction are objective so long as they conform to a publicly formulated set of criterion. If this is done then subjective opinion is again left out of the equation.

"Inferences either conform to the objective standards or they don't" (Chalmers, 57).

The reliability of science in the inductivist point of view comes from inductivism's claims about observation, induction and deduction.

The careful use of the senses can lead to a secure factual basis for science according to the inductivist.

By presuming the principle of induction to be the basis of science, the laws and theories derived inductively from the factual basis of science, the laws and theories derived inductively from the factual basis of science can be held as reliable. (This is the circular problem of inductivism).

Chalmers: At best, inductivism is in dire need of sever qualification. At worst, inductivism is wholly inadequate.

Sunday, October 29, 2006

Chalmers, end of Ch. 2 & Ch. 3

(Originally written October 29, 2006 in Book 8)

What is this thing called science?
Alan Chalmers

Observable facts, objective but fallible

Observable facts are 'to some degree' fallible. All observable facts are open to revisions.

The basis for scientific knowledge is thus fallible and objective.

"They are objective in so far as they can be publicly tested by straight forward procedures, and they are fallible in so far as they may be undermined by new kinds of tests made possible by advances in science and technology"

Chapter Three - Experiment

Not just feels but relevant facts

Assumption - secure facts can be established by careful use of the senses

Science needs relevant facts, not simply facts

"Which facts are relevant and which are not relevant to a science will be relative to the correct state of development of that science" (Chalmers, 27)

Science asks the question, observation provides the answer.

Experimentation is necessary for scientific observation.

Experimentation is necessary for scientific observation.

Experimentation, not mere observation constitutes the basis for science.

The production and updating of experimental results

Experimental results are not straightforwardly given via the senses. They are recorded through complex processes.

Judgments about the data yielded through experimentation are not straightforward. Experiments are interpreted, thus subject to human elements.

Experimental facts and theory are interrelated and inextricable in many cases.

Experimental results are fallible.

Transforming the experimental base of science: historical examples

Theoretical and technological advances can lead to the debunking of formerly held scientific facts.

Experimental results are always subject to revision and improvement.

Experimental results are required to be:
1) adequate - accurate recordings of what happened
2) appropriate or significant

The acceptability of experimental results is theory-dependent.

Judgments about experimentation are subject to change as scientific understanding increases or develops.

Problems in experimentation are not always due to the human perception element of the process. The entire process of any experiment may be proven to be irrelevant by the development of a technology or theory.

The notion that science rests upon secure foundations is proved to be an absolute falsehood by the fact that experimentation is problematic. The real terrifying part of this is that it does not have anything to do with a faulty interpretation of human perception.

Experiment as an adequate basis for science

Experimental results are not straightforwardly given and are not absolute or completely secure.

Experiment are theory-dependent and subject to revision.

Knowledge based on experiment is thus proportionally fallible and revisable to its experimental basis.

Since theory is borne of experiment and experiment borne of theory, the circularity of science creates even more problems in its claim to a special status with the realm of knowledge.

Chalmers says that we must not criticize science so much to remove its special status. Linehan says that we ought to kick science in its nuts so as to remind it that it is merely one of many avenues to knowledge and not an exalted path either.

Saturday, October 28, 2006

What is this thing called science? Ch. 4 (A)

(Originally written October 28, 2006 in Book 8)

What is this thing called Science?
Alan Chalmers

Ch. 4 - Deriving theories from the facts: induction

Introduction

How can scientific knowledge be derived from the facts established (if they can be established by science) by science?

If we take "science is derived from the facts" in a logical and not a temporal sense we can call science: theories derived logically from the facts. (But this strong claim cannot be substantiated.

Baby Logic

Logic is basically concerned with deriving a conclusion from premises.

Valid logical argument:
All A is B
t is A
Therefore, t is B.

Logical validity means that a conclusion is derived from the premises.

Logical deduction does not establish any bit of truth or falsity, even if the argument is valid.

Valid does not equal truth. Invalid does not equal false.

Logic alone is not the source of new truths.

Can Scientific laws be derived from the facts?

Scientific knowledge cannot be derived from the facts if derivation is taken as logical deduction.

Deductive arguments cannot establish scientific laws.

Any number of observed facts cannot create a universal fact through deduction.

Inductive arguments, as opposed to deductive arguments however, can produce scientific laws.

What constitutes a good inductive argument?

Derivation in the statement "science is derived from the facts" must be understood in an inductive sense.

Not all generalization from observable facts warrant an inductive qualification.

If an inductive inference from observable facts to laws is to be justified then some conditions must be satisfied:
1. The number of observations forming any generalization must be large
2. The observations must be repeated under a wide variety of conditions.
3. No accepted observation should conflict with the derived law.

A good inductive argument does not jump to conclusions.

The principle of induction:

"If a large number of A's have been observed under a wide variety of conditions, and if all those A's without exception posses the property B, then all A's have the property B" (Chalmers, 47).

The vagueness of the word "large" is problematic for induction.

What is a variety of conditions? The ambiguity of the second condition of a good inductive argument is problematic.

Inductive arguments also pose an infinite regress problem. If knowledge is based on inductive arguments then those inductive arguments are based on other inductive arguments, etc., etc., etc.

No exceptions (condition 3) is also problematic because there is rarely ever a complete lack of anomalies.

Further problems with inductivism

Inductivism is the school of thought that holds scientific knowledge is derived from observable facts through some form of inductive derivation.

It is not clear what exactly induction entails because of the ambiguity of its criteria.

Science refers to many things that are unobservable (i.e. DNA, electrons, protons, etc.)

If induction is deriving something from observable facts, how can inductivism say anything about unobservable things?

True inductivists would have to reject much of contemporary science if they strictly adhered to the inductivist handbook.

Inductivism faces the problem of induction. How is the principle of induction itself to be justified?
1. Logic?
2. Experience?

Logic is wholly inadequate for inductivism. Inductive inferences are not (by design) subject to deductive logical rules. Hence, inductivism cannot be justified by logic.

If inductivism is to be justified by experience the argument would be as follows:
1. Induction worked in case "X"
2. Induction worked in case "Y"
3. Induction worked in case "Z"
4,5,6...
Therefore, Induction always works.

This is also unacceptable. Inductivism cannot find its justification in logic or experience.

The attempt to justify induction via experience involves assuming what one is trying to prove.