The Observation-Theory Distinction

I explore the process of changes in the observability of entities and objects in science and how such changes impact two key issues in the scientific realism debate: the claim that predictively successful elements of past science are retained in current scientific theories, and the inductive defense of a specific version of inference to the best explanation with respect to unobservables. I provide a case-study of the discovery of radium by Marie Curie in order to show that the observability of (...) some entities can change and that such changes are relevant for arguments seeking to establish the reliability of success-to-truth inferences with respect to unobservables. (shrink)

Some realists claim that theoretical entities like numbers and electrons are indispensable for describing the empirical world. Motivated by the meta-ontology of Quine, I take this claim to imply that, for some first-order theory T and formula δ(x) such that T ⊢ ∃xδ ∧ ∃x¬δ, where δ(x) is intended to apply to all and only empirical entities, there is no first-order theory T′ such that (a) T and T′ describe the δ:s in the same way, (b) T′ ⊢ ∀xδ, and (...) (c) T′ is at least as attractive as T in terms of other theoretical virtues. In an attempt to refute the realist claim, I try to solve the general problem of nominalizing T (with respect to δ), namely to find a theory T′ satisfying conditions (a)–(c) under various precisifications thereof. In particular, I note that condition (a) can be understood either in terms of syntactic or semantic equivalence, where the latter is strictly stronger than the former. The results are somewhat mixed. On the positive side, even under the stronger precisification of (a), I establish that (1) if the vocabulary of T is finite, a nominalizing theory can always be found that is recursive if T is, and (2) if T postulates infinitely many δ:s, a nominalizing theory can always be found that is no more computationally complex than T. On the negative side, even under the weaker precisification of (a), I establish that (3) certain finite theories cannot be nominalized by a finite theory. (shrink)

The article takes a history based technical analysis on the governing activities by outer space laws. It outlined the spirit of the outer space law and treaty by the scientific development of the earth’s orbits & solar objects’ orbits. It focuses on the contamination of outer space by human activities in large scale structure with concluding scientific evidence. It analyzed geopolitical conflicts in terms of satellite technologies. They are analyzed based on the utility-science dichotomy, and the subject(s) that ultimately benefit (...) from and control the utility. The texts are arranged by the contrast between the American led globalization and Russian hegemony with dictatorial powers. The technical analysis is nuclear science based with epistemology. (shrink)

In this paper we explore Ronald N. Giere’s contributions to the scientific realism debate. After outlining some of his general views on the philosophy of science, we locate his contributions within the traditional scientific realism debate. We argue that Giere’s scientific perspectivism is best seen as a form of carte blanche realism, that is: a view according to which science is a practice aiming at truth, and can warrantably claim to have attained it, to a certain degree; however, it does (...) not place our confidence invariably in some specific feature of scientific representations. (shrink)

I’m grateful to Aleta Quinn and Studies in History and Philosophy of Science for hosting this book forum for my book, The Relativity of Theory (Springer, 2020). I’m also grateful to Margaret Greta Turnbull and Joseph Martin for their commentaries. In what follows, I address their comments as I understand them.

The Quine-Duhem thesis states that we always have a choice about how praise or blame are distributed in cases of scientific justification. But in many scientific examples, there is simply no room to doubt that a particular hypothesis is responsible for a refutation or established by the observations. Fault Tracing gives a theory of independent justification from different sets of evidence. Using both real and artificial examples, it shows how to play independently established hypotheses against each other to determine whether (...) an arbitrary hypothesis needs to be altered in the light of (apparently) refuting evidence. This is a theory of the functioning of background knowledge in scientific justification, which allows for justification from the evidence independently of values. The book ends by briefly discussing the significance of these results in metaphysics and philosophy. (shrink)

This is a reply piece to a series of book symposium contributions to my book, Resisting Scientific Realism. The contributions were by Steven French, Peter Vickers, Stathis Psillos, and Kyle Stanford.

Addiction to observation.... There is a circular-linear relationship between observer and observation proving 'pi' is the only observer (a circle is the background state for everything) (making observation possible).

In a recent work published in this journal, “Van Fraassen e a inferência da melhor explicação” (2016), Minikoski and Rodrigues da Silva identify four critical lines proposed by Bas van Fraassen against the form of abductive reasoning known as ‘inference to the best explanation’ (IBE). The first one, put forward by the Dutch philosopher in his seminal book The Scientific Image (1980), concerns the distinction between observable and unobservable entities. Minikoski and Rodrigues da Silva consider that the distinction is of (...) no relevance to the scientific practice. For this reason, they address van Fraassen’s allegations against IBE qua justification of the existence of unobservable entities in a couple of pages and prefer focusing on the other lines they identified. The aim of this work is to pour over the analysis that the two authors perform about van Fraassen’s mentioned argument and some realists’ replies, particularly in the section that Minikoski and Rodrigues da Silva devote to this topic. This will allow us to clarify van Fraassen’s vision on scientific practice and on the ‘immersion in the theoretical world-picture’. The importance and the relevance of the distinction between observables and unobservables will also be reaffirmed. (shrink)

Martin Kusch has recently defended Bas van Fraassen’s controversial view on microscopes, according to which these devices are not ‘windows on an invisible world’, but rather ‘image generators’. The two authors also claim that, since in a microscopic detection it is not possible to empirically investigate the geometrical relations between all the elements involved, one is entitled to maintain an agnostic stance about the reality of the entity allegedly represented by the produced image. In this paper I argue that, contrary (...) to what Kusch maintains, this might not be a neutral way to render scientific evidence. Moreover, a constructive empiricist can support a realist interpretation of microscopic images. In fact, constructive empiricism and van Fraassen’s own anti-realism do not necessarily amount to the same thing. (shrink)

In his last book (2008), Bas van Fraassen, the originator of constructive empiricism, put forward a table containing a categorization of images. His aim, however, was to discuss the reality of what they represent and not addressing the issue of images per se. One of the consequences is that it remained an open question what ‘public hallucinations’ - reflections in the water, rainbows and the like - are. In this paper it will be defended that only images in the relevant (...) (representational) sense should be considered as such. For this and other reasons, van Fraassen’s diagram should be amended. Moreover, as Physics teaches us, the class of the so-called ‘images’ that are actually objects is wider than van Fraassen reckons. The set of the observable objects do not contain only concrete things, but goes beyond what ‘common sense realism’ suggests. In addition to rocks, oceans and bicycles, we can also see rainbows, reflections in the water and the like. (shrink)

In this book K. Brad Wray provides a comprehensive survey of the arguments against scientific realism. In addition to presenting logical considerations that undermine the realists' inferences to the likely truth or approximate truth of our theories, he provides a thorough assessment of the evidence from the history of science. He also examines grounds for a defence of anti-realism, including an anti-realist explanation for the success of our current theories, an account of why false theories can be empirically successful, and (...) an explanation for why we should expect radical changes of theory in the future. His arguments are supported and illustrated by cases from the history of science, including a sustained study of the Copernican Revolution, and a study of the revolution in early twentieth century chemistry, when chemists came to classify elements by their atomic number rather than by their atomic weight. (shrink)

The notion of epistemic community is crucial for the characterization of observability, a cornerstone for Bas van Fraassen’s constructive empiricism. As a matter of fact, observable is, to him, a short for observable-by-us. In this work, it will be shown that the alleged rigidity of the author of The Scientific Image, apparently not very keen to admitting changes in the epistemic community (constituted – according to him – by the human race), is actually an assumption of modesty and good judgment; (...) it means recognizing that scientific enterprise is just a human activity, among many others. (shrink)

The emphasis on the role of observation, one of the hallmarks of Empiricism, is reaffirmed by the primacy of the distinction between observable and unobservable in Bas van Fraassen’s Constructive Empiricism. In this paper it will be showed that, despite being one the main topics of discussion in contemporary philosophy of science, particularly thanks to van Fraassen, the question of observation and observability is actually so old as philosophy itself and has to do with the willingness, that defines empiricism, to (...) keep ‘within the limits’. (shrink)

The act of observing is crucial for constructive empiricism, Bas van Fraassen's celebrated position on the aim of science. As Buekens and Muller noted in 2012, the Dutch philosopher should have characterized observation as an intentional act, because observation in science has a purpose. In the present article, which will also address the distinction between observing and observing that, introduced by Hanson and Dretske, it will be shown that considerations about the intentionality of the act of observing are, on the (...) contrary, unnecessary for drawing the distinction between observable and unobservable entities on which constructive empiricism depends. (shrink)

Theory-ladenness is the view that observation cannot function in an unbiased way in the testing of theories because observational judgments are affected by the theoretical beliefs of the observer. Its more radical cousin, incommensurability, argues that because there is no theory-neutral language, paradigms, or worldviews, cannot be compared because in different paradigms the meaning of observational terms is different, even when the word used is the same. There are both philosophical and practical components to these problems. I argue, using a (...) procedurally-defined, theory-neutral experiment that paradigms are indeed commensurable. The practical problems of theory ladenness include experimental design, failure to interpret observations correctly, possible experimenter bias, and difficulties in data acquisition. I suggest that there are methods to deal with these problems, although sometimes they cannot be dealt with completely. I believe that the philosophical problems of theory-ladenness have been solved, although the practical problems remain. (shrink)

The concept of observability is of key importance for a consistent defense of Constructive Empiricism. This anti-realist position, originally presented in 1980 by Bas van Fraassen in his book The Scientific Image, crucially depends on the observable/unobservable dichotomy. Nevertheless, the question of what it means to observe has been faced in an unsatisfactory and inadequate manner by van Fraassen and this represents an important lacuna in his philosophical position. The aim of this work is to propose a characterization of the (...) act of observation able to give the necessary support to the ‘rough guide’ of ‘observable’ that can be found in the aforementioned book. Countering van Fraassen’s own statements, that observability is not a matter for philosophy, but for scientific inquiry only, we maintain that any attempt to deal with this subject by the philosophers is legitimate. We will show that van Fraassen ended up doing a philosophical analysis of observation himself, albeit in a fragmentary way. We believe that this question should be dealt with methodically, though, ‘following the rules’ of a ‘proper’ philosophical analysis, as we attempted to do in this work. We will propose a way of conceiving the act of observation, different from van Fraassen’s one, that can help not only to ground the distinction between observable and unobservable, upon which Constructive Empiricism rests, but to get this anti-realist position closer to scientific practice as well, which is one of its desiderata. Without neglecting the philosophical dimension of the issue, though. However, this proposal does not represent an ad hoc ‘solution’ for Constructive Empiricism, but a characterization aspiring to have a universal reach. (shrink)

There exists a problem of the circularity in measurement: construction of theories requires reliable data, but obtaining reliable data requires reliable measurement devices whose construction requires a theory. I argue that adapting Anil Gupta's empiricist epistemology to a scientific context yields a possible solution. One can consider the role of data not as providing a foundation for a theory, but as acting functionally, licensing revisions of a previous theory. Data provide scientists with entitlement to their claims conditional on their background (...) theory. Unconditional entitlement is obtained when different starting theories converge to the same view over the course of experimentation. I explain this idea using two examples, one in thermometry and one involving experiments on the weak neutral current. (shrink)

Let us call ‘veridicalism’ the view that perceptual beliefs and observational reports are largely truthful. This paper aims to make a case for veridicalism by, among other things, examining in detail and ultimately deflating in import what many consider to be the view’s greatest threat, the so-called ‘theory-ladenness’ of perception and/or observation. In what follows, it is argued that to the extent that theoretical factors influence the formation of perceptual beliefs and observational reports, as theory-ladenness demands, that influence is typically (...) not detrimental to their veridicality or at least not irreversibly so. Central to the defence of veridicalism are two principles: that of internal similarities and that of internal dissimilarities. (shrink)

Are sensory experiences, perceptual beliefs and observation reports faithful encoders of truthful information about the world? The theory-ladenness thesis poses an important challenge to answering this question in the affirmative. Roughly the thesis holds that theoretical factors affect the content of those experiences, beliefs and reports. In other words, it holds that their content is laden with theory. Theoretical factors here are construed broadly so as to include scientific theories, beliefs and cognitive processes. Two crucial questions arise in relation to (...) the theory-ladenness thesis. First, how pervasive is theory-ladenness? And, second, what is the extent of the distortion theory-ladenness has on the content of experiences, perceptual beliefs and observation reports? If theory-ladenness is not only pervasive, i.e. if it affects the majority of experiences, perceptual beliefs and observation reports, but also highly distortive way then those experiences, beliefs and reports can .. (shrink)

One important debate between scientific realists and constructive empiricists concerns whether we observe things using instruments. This paper offers a new perspective on the debate over instruments by looking to recent discussion in philosophy of mind and cognitive science. Realists often speak of instruments as ‘extensions’ to our senses. I ask whether the realist may strengthen her view by drawing on the extended mind thesis. Proponents of the extended mind thesis claim that cognitive processes can sometimes extend beyond our brains (...) and bodies into the environment. I suggest that the extended mind thesis offers a way to make sense of realists’ talk of instruments as extensions to the senses and that it provides the realist with a new argument against the constructive empiricist view of instruments. (shrink)

In this paper I argue that Poincaré’s acceptance of the atom does not indicate a shift from instrumentalism to scientific realism. I examine the implications of Poincaré’s acceptance of the existence of the atom for our current understanding of his philosophy of science. Specifically, how can we understand Poincaré’s acceptance of the atom in structural realist terms? I examine his 1912 paper carefully and suggest that it does not entail scientific realism in the sense of acceptance of the fundamental existence (...) of atoms but rather, argues against fundamental entities. I argue that Poincaré’s paper motivates a non-fundamentalist view about the world, and that this is compatible with his structuralism. (shrink)

Scientists use visualisations of different kinds in a variety of ways in their scientific work. In the following article, we will take a closer look at the use of photographic pictures as scientific evidence. In accordance with Patrick Maynard’s thesis, photography will be regarded as a family of technologies serving different purposes in divergent contexts. One of these is its ability to detect certain phenomena. Nonetheless, with regard to the philosophical thesis of theory-ladenness of observation, we encounter certain reservations concerning (...) the status of photography and that of photographic pictures in the process of measurement in science. Accordingly, the aim of this paper is twofold: We will discuss suggested solutions both for the technological and for the psychological part of the problem of theory-ladenness appearing in the context of the use of photography in scientific observations. The essential proposal will be to follow Christian Suhm in his advice to make a distinction between theory-relativity and theory-ladenness. (shrink)

The philosophy of measurement studies the conceptual, ontological, epistemic, and technological conditions that make measurement possible and reliable. A new wave of philosophical scholarship has emerged in the last decade that emphasizes the material and historical dimensions of measurement and the relationships between measurement and theoretical modeling. This essay surveys these developments and contrasts them with earlier work on the semantics of quantity terms and the representational character of measurement. The conclusions highlight four characteristics of the emerging research program in (...) philosophy of measurement: it is epistemological, coherentist, practice oriented, and model based. (shrink)

It is customary to distinguish experimental from purely observational sciences. The former include physics and molecular biology, the latter astronomy and palaeontology. Experiments involve actively intervening in the course of nature, as opposed to observing events that would have happened anyway. When a molecular biologist inserts viral DNA into a bacterium in his laboratory, this is an experiment; but when an astronomer points his telescope at the heavens, this is an observation. Without the biologist’s handiwork the bacterium would never have (...) contained foreign DNA; but the planets would have continued orbiting the sun whether or not the astronomer had directed his telescope skyward. The observational/experimental distinction would probably be difficult to make precise 1, as the notion of an ‘intervention’ is not easily defined, but it is intuitively fairly clear, and is frequently invoked by scientists and historians of science. Experimentation, or ‘putting questions to nature’, is often cited as a hallmark of the modern scientific method, something that permitted the enormous advances of the last 350 years. And it is sometimes said that the social sciences lag behind the natural because controlled experiments cannot be done so readily in the former. Moreover in certain sciences, e.g. epidemiology, students are explicitly taught that experimental data is preferable to observational data, particularly for doing causal inference. So the distinction between observational and experimental science has quite wide currency, and is often regarded as methodologically significant. Surprisingly, mainstream philosophy of science has had rather little to say about the observational/experimental distinction. 2 For example, discussions of confirmation usually invoke a notion of ‘evidence’, to be contrasted with ‘theory’ or ‘hypothesis’; the aim is to understand how the evidence bears on the hypothesis. But whether this ‘evidence’ comes from observation or experiment generally plays no role in the discussion; this is true …. (shrink)

In a recent paper James Bogen and James Woodward denounce a set of views on confirmation that they collectively brand 'IRS'. The supporters of these views cast confirmation in terms of Inferential Relations between observational and theoretical Sentences. Against 1RS accounts of confirmation, Bogen and Woodward unveil two main objections: (a) inferential relations are not necessary to model confirmation relations since many data are neither in sentential form nor can they be put in such a form and (b) inferential relations (...) are not sufficient to model confirmation relations because the former cannot capture evidentially relevant factors about the detection processes and instruments that generate the data. In this paper I have a two-fold aim: (i) to show that Bogen and Woodward fail to provide compelling grounds for the rejection of IRS models and (ii) to highlight some of the models' neglected merits. (shrink)

I resolve several pressing and recalcitrant problems in contemporary philosophy of science using resources from John Dewey's philosophy of science. I begin by looking at Dewey's epistemological and logical writings in their historical context, in order to understand better how Dewey's philosophy disappeared from the limelight, and I provide a reconstruction of his views. Then, I use that reconstruction to address problems of evidence, the social dimensions of science, and pluralism. Generally, mainstream philosophers of science with an interest in Dewey (...) pay little attention to the body of scholarship on Dewey and tend to misinterpret or miss important features of his work, while Dewey scholars generally do not connect his work to the nuanced problems of the contemporary scene (with some notable exceptions). My dissertation helps to fill this important gap and correct common interpretive mistakes by reconstructing and clarifying Dewey's philosophy of science and using it to resolve several contemporary problems. Though his is the road less traveled, Dewey's views provide a good starting place for addressing current concerns. He worked towards a model of science that is both fully naturalistic and fundamentally oriented towards human practice, demands that have been strongly argued for but poorly assimilated by most mainstream philosophers of science. He treats scientific practice, and human thinking generally, as not only embodied but also socially and technologically embedded, and thus can be used to open up a dialogue with much of the social studies of science. He has an anti- foundationalist but structured epistemology, and he offers a way to navigate the narrow paths between an immodest and simplistic realism and the pessimistic extremes of anti-realism and social constructivism, a pursuit of interest to many major philosophers of science at present. Philosophy of science took a different path in the twentieth century, beginning with the "received view'' of logical positivism that left many of the nuances of the original movement by the wayside. No aspect of that starting point has avoided disrepute in recent decades. I show that Dewey avoided the wrong turns of mid- century philosophy of science which are now blocking the way forward. (shrink)

The 20th century philosophy of science began on a positivistic note. Its focal point was scientific explanation and the hypothetico-deductive (HD) framework of explanation was proposed as the standard of what is meant by “science.” HD framework, its inductive and statistical variants, and other logic-based approaches to modeling scientific explanation were developed long before the dawn of the information age. Since that time, the volume of observational data and power of high performance computing have increased by several orders of magnitude (...) and reshaped the practice and concept of science, and indeed, the philosophy of science. A new observational-inductive (OI) framework for scientific research is emerging due to recent developments in sensors, data systems, computers, and knowledge discovery techniques. We examine the nature of these changes and their impact on the question of what is meant by “science” after discussing five examples of the OI framework, and conclude that the HD and OI frameworks are complementary and synergistic. (shrink)

The dangers of character reification for cladistic inference are explored. The identification and analysis of characters always involves theory-laden abstraction—there is no theory-free “view from nowhere.” Given theory-ladenness, and given a real world with actual objects and processes, how can we separate robustly real biological characters from uncritically reified characters? One way to avoid reification is through the employment of objectivity criteria that give us good methods for identifying robust primary homology statements. I identify six such criteria and explore each (...) with examples. Ultimately, it is important to minimize character reification, because poor character analysis leads to dismal cladograms, even when proper phylogenetic analysis is employed. Given the deep and systemic problems associated with character reification, it is ironic that philosophers have focused almost entirely on phylogenetic analysis and neglected character analysis. (shrink)

In this paper I explore Karl Popper’s ‘critical rationalism’, focusing on its presuppositions and implications as a form of realism regarding the nature of scientific truth. I reveal an underlying tension in Popper’s thought pertaining to his account of basic statements and the related question of whether the falsification of a universal theory can ever justifiably be regarded as final or conclusive. I conclude that Popper’s account of basic statements is implicitly conventionalist, and that it should, in consistency, have forced (...) him in the direction of Quinean holism. (shrink)

A stalwart view in the philosophy of science holds that, even when broadly construed so as to include theoretical auxiliaries, theories cannot make direct contact with observations. This view owes much to Bogen and Woodward’s influential distinction between data and phenomena. According to them, data are typically the kind of things that are observable or measurable like "bubble chamber photographs, patterns of discharge in electronic particle detectors and records of reaction times and error rates in various psychological experiments". Phenomena are (...) physical processes that are typically unobservable. Examples of the latter category include "weak neutral currents, the decay of the proton, and chunking and recency effects in human memory". Theories, in Bogen and Woodward’s view, are utilised to systematically explain, infer and predict phenomena, not data. The relationship between theories and data is rather indirect. Data count as evidence for phenomena and the latter in turn count as evidence for theories. This view is becoming increasingly influential, Stathis Psillos and Mauricio Suárez ). In this paper I argue contrary to this view that in various significant and well-known cases theories do make direct contact with the help of suitable auxiliaries. (shrink)

There are two ways to do the unexpected. The banal way—let's call it the expectedly unexpected—is simply to chart the waters of what is and is not done, and then set out to do something different. For a philosopher, this can be done by embracing a method of non sequitor or by perhaps inverting some strongly held assumption of the field. The more interesting way— the unexpectedly unexpected—is to transform the expectations themselves; to do something new and contextualize it in (...) such a way that it not only makes perfect sense, but has the audience scratching their heads and saying, “Of course!” To do the unexpectedly unexpected on a regular basis is the true mark of genius. It recalls Kant's characterization of the genius as the one who not merely follows or breaks the rules of art but that, “Genius is the natural endowment that gives the rule to art.” We would not like to make the bold claim that Paul M. Churchland (PMC) is a philosophical genius of Kantian standards, but he sometimes achieves the unexpectedly unexpected and his position on the issue of scientific realism is a fine example of this. Given other views he holds and the philosophical forebears he holds dear, one might expect him to embrace an antirealism with respect to the posits of scientific theories. But, quite to the contrary, Churchland is one of the strongest contemporary philosophical voices on behalf of scientific realism. And, as we will discuss in this chapter, a closer look at this reasoning reveals that his realism is not perverse, it is exactly the sort of position he should be expected to hold, if only we understand the philosophical issues correctly. (shrink)

'IRS' is our term for the logical empiricist idea that the best way to understand the epistemic bearing of observational evidence on scientific theories is to model it in terms of Inferential Relations among Sentences representing the evidence, and sentences representing hypotheses the evidence is used to evaluate. Developing ideas from our earlier work, including 'Saving the Phenomena'(Phil Review 97, 1988, p.303-52 )we argue that the bearing of observational evidence on theory depends upon causal connections and error characteristics of the (...) processes by which data is produced and used to detect features of phenomena. Neither of these depends upon, or is greatly illuminated by a consideration of, formal relations among observation and theoretical sentences or propositions. By taking causal structures and error characteristics, you too can evade the IRS. In doing so, you can gain insight into Hempel’s raven paradox, theory loading, and other issues from the standard philosophical literature on confirmation theory. (shrink)

A normative constraint on theories about objects which we take to be real is explored: such theories are required to track the properties of the objects which they are theories of. Epistemic views in which observation (and generalizations of it) play a central role, and holist views which see epistemic virtues as applicable only to whole theories, are contrasted in the light of this constraint. It's argued that global-style epistemic virtues can't meet the constraint, although (certain) epistemic views within which (...) observation (and, more generally, thick epistemic access) are centralized do meet it. (shrink)

There is perhaps no more succinct a way of describing the controversy between scientific realists and antirealists than to say that it turns on the reality of the unobservable. Less concisely, it turns on whether we have reason to think that scientific theories tell us the truth (or something close to it) about some of the underlying, unobservable bits of a mind-independent, external reality, among other things. Claims to knowledge of such a reality have traditionally been a bone of contention (...) between realists and empiricists. Two decades ago, this ongoing debate was inflamed by the introduction of Bas van Fraassen’s particular brand of empiricism. Wholesale idealists and phenomenalists have been increasingly marginalized. The reality of the observable is now generally taken for granted by most parties to the debate. The epistemic status of the unobservable, however, remains controversial. (shrink)

According to a traditional view, scientific laws and theories constitute algorithmic compressions of empirical data sets collected from observations and measurements. This article defends the thesis that, to the contrary, empirical data sets are algorithmically incompressible. The reason is that individual data points are determined partly by perturbations, or causal factors that cannot be reduced to any pattern. If empirical data sets are incompressible, then they exhibit maximal algorithmic complexity, maximal entropy and zero redundancy. They are therefore maximally efficient carriers (...) of information about the world. Since, on algorithmic information theory, a string is algorithmically random just if it is incompressible, the thesis entails that empirical data sets consist of algorithmically random strings of digits. Rather than constituting compressions of empirical data, scientific laws and theories pick out patterns that data sets exhibit with a certain noise. (shrink)

This is a transcript of Milne's manuscript notes for a talk which he gave to fellow members of the Cambridge University Natural Science Club in his rooms at Trinity College, Cambridge, on February 6, 1922. The notes are deposited in the Bodleian Library, University of Oxford, Special Collections and Western Manuscripts. The background and essential points of Milne's talk are analysed in the article preceding this one. As far as is known, the text has not hitherto been published. Milne's handwriting (...) is difficult to read, and square brackets [...] denote the addition of a word for clarity of meaning. Meg Weston Smith and Simon Rebsdorf have ventured to fill in some chapter titles just in order to help with the separation of the varying content, hence we have made up all the headlines. All italics correspond to underlined words in the original. The Bergson citations and the Eddington passage at the end of the original text have not been transcribed. (shrink)

The issue of the theory-ladenness of observation has long troubled philosophers of science, largely because it seems to threaten the objectivity of science. However, the way in which prior beliefs influence the perception of data is in part an empirical issue that can be investigated by cognitive psychology. This point is illustrated through an experimental analogue of scientific data-interpretation tasks in which subjects judging the covariation between personality variables based their judgments on pure data, their theoretical intuitions about the variables, (...) or both data and prior theoretical beliefs. Results showed that the perceived magnitude of correlations was greatest when subjects relied solely on theoretical intuitions; that data-based judgments were drawn in the direction of those prior beliefs; but that exposure to data nonetheless moderated the strength of the prior theories. In addition, prior beliefs were found to influence judgments only after a brief priming interval, suggesting that subjects needed time to retrieve their theoretical intuitions from memory. These results suggest ways to investigate the processes mediating theory-laden observation, and, contrary to the fears of positivist philosophers, imply that the theory-ladenness of observation does not entail that theoretical beliefs are immune to data. (shrink)

Most philosophers of science now believe that scientific data are theory laden, i.e., the evaluation of data is influenced by prior theoretical beliefs. Although there is historical and psychological evidence that is consistent with the theory-laden position, experimental evidence is needed to directly test whether prior beliefs influence the evaluation of scientific data. In a fully counterbalanced design, one group of subjects received evidence that dinosaurs were cold-blooded, and another group of subjects received evidence that dinosaurs were warm-blooded. The subjects (...) reported a strong belief in whichever theory they had read about. Then subjects were presented with a piece of data that supported one theory and contradicted the other theory. The identical piece of data was rated as more believable when it was consistent with the subject's theory than when it was inconsistent. These results provide clear support for the position that scientific data are theory laden. (shrink)

Fodor and LePore's reconstruction of the semantic holism debate in terms of "atomism" and "anatomism" is inadequate: it fails to highlight the important issue of how intentional contents are individuated, and excludes or obscures several possible positions on the metaphysics of content. One such position, "weak sociabilism" is important because it addresses concerns of Fodor and LePore's molecularist critics about conditions for possession of concepts, without abandoning atomism about content individuation. Properties like DEMOCRACY may be "theoretical" in the following sense: (...) only devices capable of inference can come to be selectively sensitive to such properties. Thus, such concepts cannot be punctate, although their contents are individuated, as atomism requires, independently of their conceptual connections. (shrink)