While philosophers widely continued awkward confidence in empirical sciences as inductive, John Stuart Mill, in England, proposed five methods to discern causality, how genuine inductivism purportedly exceeds enumerative induction. In the 1830s, opposing metaphysics, Auguste Comte, in France, explicated positivism, which, unlike Bacon's model, emphasizes predictions, confirming them, and laying scientific laws, irrefutable by theology or metaphysics. Mill, viewing experience as affirming uniformity of nature and thus justifying enumerative induction, endorsed positivism—the first modern philosophy of science—which, also a political philosophy, upheld scientific knowledge as the only genuine knowledge.
The logical positivists arose in the 1920s, rebuked metaphysical philosophies, accepted hypotheticodeductivist theory origin, and sought to objectively vet scientific theories—or any statement beyond emotive—as provably false or true as to merely empirical facts and logical relations, a campaign termed verificationism. In its milder variant, Rudolf Carnap tried, but always failed, to find an inductive logic whereby a universal law's truth via observational evidence could be quantified by "degree of confirmation". Karl Popper, asserting since the 1930s a strong hypotheticodeductivism called falsificationism, attacked inductivism and its positivist variants, then in 1963 called enumerative induction "a myth", a deductive inference from a tacit theory, explanatory. In 1965, Gilbert Harman explained enumerative induction as a masked IBE.
From the 17th to the 20th centuries, inductivism was widely conceived as scientific method's ideal. Even at the 21st century's turn, popular presentations of scientific discovery and progress naively, erroneously suggested it. The 20th was the first century producing more scientists than philosopherscientists. Earlier scientists, "natural philosophers," pondered and debated their philosophies of method. Einstein remarked, "Science without epistemology is—in so far as it is thinkable at all—primitive and muddled".
Particularly after the 1960s, scientists became unfamiliar with the historical and philosophical underpinnings of their own research programs, and often unfamiliar with logic. Scientists thus often struggle to evaluate and communicate their own work against question or attack or to optimize methods and progress. In any case, during the 20th century, philosophers of science accepted that scientific method's truer idealization is hypotheticodeductivism, which, especially in its strongest form, Karl Popper's falsificationism, is also termed deductivism.
Inductivism infers from observations of similar effects to similar causes, and generalizes unrestrictedly—that is, by enumerative induction—to a universal law.
At least logically, any phenomenon can host multiple, conflicting explanations—the problem of underdetermination—why inference from data to theory lacks any formal logic, any deductive rules of inference. A counterargument is the difficulty of finding even one empirically adequate theory. Still, however difficult to attain one, one after another has been replaced by a radically different theory, the problem of unconceived alternatives. In the meantime, many confirming instances of a theory's predictions can occur even if many of the theory's other predictions are false.
Scientific method cannot ensure that scientists will imagine, much less will or even can perform, inquiries or experiments inviting disconfirmations. Further, any data collection projects a horizon of expectation—how even objective facts, direct observations, are laden with theory—whereby incompatible facts may go unnoticed. And the experimenter's regress permits disconfirmation to be rejected by inferring that unnoticed entities or aspects unexpectedly altered the test conditions. A hypothesis can be tested only conjoined to countless auxiliary hypotheses, mostly neglected until disconfirmation.
In hypotheticodeductivism, the HD model, one introduces some explanation or principle from any source, such as imagination or even a dream, infers logical consequences of it—that is, deductive inferences—and compares those with observations, perhaps experimental. In simple or Whewellian hypotheticodeductivism, one might accept a theory as metaphysically true or probably true if its predictions display certain traits that appear doubtful of a false theory.
In Bacon's estimation, during this repeating process of modest axiomatization confirmed by extensive and minute observations, axioms expand in scope and deepen in penetrance tightly in accord with all the observations. This, Bacon proposed, would open a clear and true view of nature as it exists independently of human preconceptions. Ultimately, the general axioms concerning observables would render matter's unobservable structure and nature's causal mechanisms discernible by humans. But, as Bacon provides no clear way to frame axioms, let alone develop principles or theoretical constructs universally true, researchers might observe and collect data endlessly. For this vast venture, Bacon's advised precise record keeping and collaboration among researchers—a vision resembling today's research institutes—while the true understanding of nature would permit technological innovation, heralding a New Atlantis.
For Hume, humans experience sequences of events, not cause and effect, by pieces of sensory data whereby similar experiences might exhibit merely constant conjunction—first an event like A, and always an event like B—but there is no revelation of causality to reveal either necessity or impossibility. Although Hume apparently enjoyed the scandal that trailed his explanations, Hume did not view them as fatal, and interpreted enumerative induction to be among the mind's unavoidable customs, required in order for one to live. Rather, Hume sought to counter Copernican displacement of humankind from the Universe's center, and to redirect intellectual attention to human nature as the central point of knowledge.
Hume proceeded with inductivism not only toward enumerative induction but toward unobservable aspects of nature, too. Not demolishing Newton's theory, Hume placed his own philosophy on par with it, then. Though skeptical at common metaphysics or theology, Hume accepted "genuine Theism and Religion" and found a rational person must believe in God to explain the structure of nature and order of the universe. Still, Hume had urged, "When we run over libraries, persuaded of these principles, what havoc must we make? If we take into our hand any volume—of divinity or school metaphysics, for instance—let us ask, Does it contain any abstract reasoning concerning quantity or number? No. Does it contain any experimental reasoning concerning matter of fact and existence? No. Commit it then to the flames, for it can contain nothing but sophistry and illusion".
According to Comte, scientific method constrains itself to observations, but frames predictions, confirms these, rather, and states laws—positive statements—irrefutable by theology and by metaphysics, and then lays the laws as foundation for subsequent knowledge. Later, concluding science insufficient for society, however, Comte launched Religion of Humanity, whose churches, honoring eminent scientists, led worship of humankind. Comte coined the term altruism, and emphasized science's application for humankind's social welfare, which would be revealed by Comte's spearheaded science, sociology. Comte's influence is prominent in Herbert Spencer of England and in Émile Durkheim of France, both establishing modern empirical, functionalist sociology. Influential in the latter 19th century, positivism was often linked to evolutionary theory, yet was eclipsed in the 20th century by neopositivism: logical positivism or logical empiricism.
In the 17th century, England, with Isaac Newton and industrialization, led in science. In the 18th century, France led, particularly in chemistry, as by Antoine Lavoisier. During the 19th century, French chemists were influential, like Antoine Béchamp and Louis Pasteur, who inaugurated biomedicine, yet Germany gained the lead in science, by combining physics, physiology, pathology, medical bacteriology, and applied chemistry. In the 20th, America led. These shifts influenced each country's contemporary, envisioned roles for science.
Positivism reached Britain well after Britain's own lead in science had ended. British positivism, as witnessed in Victorian ethics of utilitarianism—for instance, J S Mill's utilitarianism and later in Herbert Spencer's social evolutionism—associated science with moral improvement, but rejected science for political leadership. For Mill, all explanations held the same logical structure—thus, society could be explained by natural laws—yet Mill criticized "scientific politics". From its outset, then, sociology was pulled between moral reform versus administrative policy.
Also optimistic, some of the appalled German and Austrian intellectuals were inspired by breakthroughs in philosophy, mathematics, logic, and physics, and sought to lend humankind a transparent, universal language competent to vet statements for either logical truth or empirical truth, no more confusion and irrationality. In their envisioned, radical reform of Western philosophy to transform it into scientific philosophy, they studied exemplary cases of empirical science in their quest to turn philosophy into a special science, like biology and economics. The Vienna Circle, including Otto Neurath, was led by Moritz Schlick, and had converted to the ambitious program by its member Rudolf Carnap, whom the Berlin Circle's leader Hans Reichenbach had introduced to Schlick. Carl Hempel, who had studied under Reichenbach, and would be a Vienna Circle alumnus, would later lead the movement from America, which, along with England, received emigration of many logical positivists during Hitler's regime.
The Berlin Circle and the Vienna Circle became called—or, soon, were often stereotyped as—the logical positivists or, in a milder connotation, the logical empiricists or, in any case, the neopositivists. Rejecting Kant's synthetic a priori, they asserted Hume's fork. Staking it at the analytic/synthetic gap, they sought to dissolve confusions by freeing language from "pseudostatements". And appropriating Ludwig Wittgenstein's verifiability criterion, many asserted that only statements logically or empirically verifiable are cognitively meaningful, whereas the rest are merely emotively meaningful. Further, they presumed a semantic gulf between observational terms versus theoretical terms. Altogether, then, many withheld credence from science's claims about nature's unobservable aspects. Thus rejecting scientific realism, many embraced instrumentalism, whereby scientific theory is simply useful to predict human observations, while sometimes regarding talk of unobservables as either metaphorical or meaningless.
Once one observes the facts, "there is introduced some general conception, which is given, not by the phenomena, but by the mind". Whewell this called this "colligation", uniting the facts with a "hypothesis"—an explanation—that is an "invention" and a "conjecture". In fact, one can colligate the facts via multiple, conflicting hypotheses. So the next step is testing the hypothesis. Whewell seeks, ultimately, four signs: coverage, abundance, consilience, and coherence.
Amid increasingly apparent contradictions in neopositivism's central tenets—the verifiability principle, the analytic/synthetic division, and the observation/theory gap—Hempel in 1965 abandoned the program a far wider conception of "degrees of significance". This signaled neopositivism's official demise. Neopositivism became mostly maligned, while credit for its fall generally has gone to W V O Quine and to Thomas S Kuhn, although its "murder" had been prematurely confessed to by Karl R Popper in the 1930s.
And thus, Kuhn explains, a revolution in science is fulfilled. Kuhn's thesis critically destabilized confidence in foundationalism, which was generally, although erroneously, presumed to be one of logical empiricism's key tenets. As logical empiricism was extremely influential in the social sciences, Kuhn's ideas were rapidly adopted by scholars in disciplines well outside of the natural sciences, where Kuhn's analysis occurs. Kuhn's thesis in turn was attacked, however, even by some of logical empiricism's opponents. In Structure's 1970 postscript, Kuhn asserted, mildly, that science at least lacks an algorithm. On that point, even Kuhn's critics agreed. Reinforcing Quine's assault on logical empiricism, Kuhn ushered American and English academia into postpositivism or postempiricism.
Kuhn's influential thesis was soon attacked for portraying science as irrational—cultural relativism similar to religious experience. Postpositivism's poster became Popper's view of human knowledge as hypothetical, continually growing, always tentative, open to criticism and revision. But then even Popper became unpopular, allegedly unrealistic.
Some have argued that although inductive inference is often obscured by language—as in news reporting that experiments have proved a substance is safe—and that enumerative induction ought to be tempered by proper clarification, inductive inference is used liberally in science, that science requires it, and that Popper is obviously wrong. There are, more actually, strong arguments on both sides. Enumerative induction obviously occurs as a summary conclusion, but its literal operation is unclear, as it may, as Popper explains, reflect deductive inference from an underlying, unstated explanation of the observations.
Popper's prime example, already made by the French classical physicist and philosopher of science Pierre Duhem decades earlier, was Kepler's laws of planetary motion, long famed to be, and yet not actually, reducible to Newton's law of universal gravitation. For Feyerabend, the sham of inductivism was pivotal. Feyerabend investigated, eventually concluding that even in the natural sciences, the unifying method is Anything goes—often rhetoric, circular reasoning, propaganda, deception, and subterfuge—methodological lawlessness, scientific anarchy. At persistent claims that faith in induction is a necessary precondition of reason, Feyerabend's 1987 book sardonically bids Farewell to Reason.
In any case, Lakatos concluded inductivism to be rather farcical and never in the history of science actually practiced. Lakatos alleged that Newton had fallaciously posed his own research programme as inductivist to publicly legitimize itself.
Gauch, Scientific Method in Practice (Cambridge U P, 2003), pp 81–. https://books.google.com/books?id=iVkugqNG9dAC&dq=Elusive+logical+empiricists&pg=PA81
Curtis, Ron (August 1994). "Narrative Form and Normative Force: Baconian Story-Telling in Popular Science". Social Studies of Science. 24 (3): 419–461. doi:10.1177/030631279402400301. /wiki/Doi_(identifier)
James Ladyman, Understanding Philosophy of Science (London & New York: Routledge, 2002), pp 51–58 /wiki/Routledge
Alan Francis Chalmers, What is this Thing Called Science?, 3rd edn (St Lucia: University of Queensland Press, 1999), pp 49–58, particularly 49–50, 53–54 & 58. /wiki/Alan_Chalmers
John Pheby, Methodology and Economics: A Critical Introduction (Armonk, NY: M. E. Sharpe, 1988), p 3. /wiki/M._E._Sharpe
Oberheim, Feyerabend's Philosophy (Walter de Gruyter, 2006), pp 80–82. https://books.google.com/books?id=wfGXOXNrC6QC&dq=Feyerabend+inductivism&pg=PA80
John Pheby, Methodology and Economics: A Critical Introduction (Armonk, NY: M. E. Sharpe, 1988), p 3. /wiki/M._E._Sharpe
Sgarbi, Aristotelian Tradition and the Rise of British Empiricism (Springer, 2013), pp 167–68. https://books.google.com/books?id=ELx63hgphNMC&pg=PA167
Achinstein, Peter (2010). "The War on Induction: Whewell Takes On Newton and Mill (Norton Takes On Everyone)". Philosophy of Science. 77 (5): 728–739. doi:10.1086/656540. JSTOR 10.1086/656540. /wiki/Doi_(identifier)
Okasha, Philosophy of Science (Oxford U P, 2002), pp 91–93, esp pp 91–92: "In rebutting the charge that he had portrayed paradigm shifts as non-rational, Kuhn made the famous claim that there is 'no algorithm' for theory choice in science. What does this mean? An algorithm is a set of rules that allows us to compute the answer to a particular question. For example, an algorithm for multiplication is a set of rules that when applied to any two numbers tells us their product. (When you learn arithmetic in primary school, you in effect learn algorithms for addition, subtraction, multiplication, and division.) So an algorithm for theory choice is a set of rules that when applied to two competing theories would tell us which we should choose. Much positivist philosophy of science was in effect committed to the existence of such an algorithm. The positivists often wrote as if, given a set of data and two competing theories, the 'principles of scientific method' could be used to determine which theory was superior. This idea was implicit in their belief that although discovery was a matter of psychology, justification was a matter of logic. Kuhn's insistence that there is no algorithm for theory choice in science is almost certainly correct. Lots of philosophers and scientists have made plausible suggestions about what to look for in theories—simplicity, broadness of scope, close fit to the data, and so on. But these suggestions fall far short of providing a true algorithm, as Kuhn well knew. https://books.google.com/books?id=8y8IXMR9DU8C&dq=Kuhn+algorithm&pg=PA91
Broad, William J. (2 November 1979). "Paul Feyerabend: Science and the Anarchist: Progress only occurs, he argues, because scientists break every methodological rule and adopt the motto "anything goes"". Science. 206 (4418): 534–537. doi:10.1126/science.386510. PMID 386510. /wiki/Doi_(identifier)
McMullin, ch 2 in Lindberg & Westman, eds, Reappraisals of the Scientific Revolution (Cambridge U P, 1990), p 54. https://books.google.com/books?id=zZwmSc--fR8C&dq=Bacon+inductive+falsificationist+hypothetico-deductive&pg=PA54
McMullin, ch 2 in Lindberg & Westman, eds, Reappraisals of the Scientific Revolution (Cambridge U P, 1990), p 48. https://books.google.com/books?id=zZwmSc--fR8C&dq=Bacon+inductive+hypothetico-deductive+falsificationism+Whewell&pg=PA48
Simpson, "Francis Bacon", §k "Induction", in IEP. http://www.iep.utm.edu/bacon/#SH2k
McMullin, ch 2 in Lindberg & Westman, eds, Reappraisals of the Scientific Revolution (Cambridge U P, 1990), p 52: "Bacon rejects atomism because he believes that the corollary doctrines of the vacuum and the unchangeableness of the atoms are false (II, 8). But he asserts the existence of real imperceptible particles and other occult constituents of bodies (such as 'spirit'), upon which the observed properties of things depend (II, 7). But how are these to be known? He asks us not to be 'alarmed at the subtlety of the investigation', because 'the nearer it approaches to simple natures, the easier and plainer will everything become, the business being transferred from the complicated to the simple...as in the case of the letters of the alphabet and the notes of music' (II, 8). And then, somewhat tantalizingly, he adds: 'Inquiries into nature have the best result when they begin with physics and end with mathematics'. Bacon believes that the investigator can 'reduce the non-sensible to the sensible, that is, make manifest things not directly perceptible by means of others which are' (II, 40)". https://books.google.com/books?id=zZwmSc--fR8C&pg=PA52
Rom Harré, Great Scientific Experiments: Twenty Experiments that Changed our View of the World (Mineola, NY: Dover Publications, 1981), indexing "inductivism". /wiki/Rom_Harr%C3%A9
Larvor, Lakatos (Routledge, 1998), p 49. https://books.google.com/books?id=y5vruQgxeyYC&dq=inductivism&pg=PA49
Hans Reinchenbach, "The theory of motion according to Newton, Leibniz, and Huyghens", in Maria Reichenbach & R. S. Cohen, eds., Vienna Circle Collection, Vol. 4B: Hans Reichenbach Selected Writings 1909–1953 (Dordrecht: Springer, 1978). /wiki/Hans_Reichenbach
Achinstein, Peter (2010). "The War on Induction: Whewell Takes On Newton and Mill (Norton Takes On Everyone)". Philosophy of Science. 77 (5): 728–739. doi:10.1086/656540. JSTOR 10.1086/656540. /wiki/Doi_(identifier)
Achinstein, Peter (2010). "The War on Induction: Whewell Takes On Newton and Mill (Norton Takes On Everyone)". Philosophy of Science. 77 (5): 728–739. doi:10.1086/656540. JSTOR 10.1086/656540. /wiki/Doi_(identifier)
Achinstein, Peter (2010). "The War on Induction: Whewell Takes On Newton and Mill (Norton Takes On Everyone)". Philosophy of Science. 77 (5): 728–739. doi:10.1086/656540. JSTOR 10.1086/656540. /wiki/Doi_(identifier)
Nola & Sankey, Popper, Kuhn and Feyerabend (Kluwer, 2000), p xi. https://books.google.com/books?id=7Mb0NR45ufsC&dq=inductivism+Feyerabend+Kuhn+Popper+Bayesianism+today's+heir&pg=PR11
Gauch, Scientific Method in Practice (Cambridge U P, 2003), pp 81–. https://books.google.com/books?id=iVkugqNG9dAC&dq=Elusive+logical+empiricists&pg=PA81
Curtis, Ron (August 1994). "Narrative Form and Normative Force: Baconian Story-Telling in Popular Science". Social Studies of Science. 24 (3): 419–461. doi:10.1177/030631279402400301. /wiki/Doi_(identifier)
Gauch, Scientific Method in Practice (Cambridge U P, 2003), pp 71–72. https://books.google.com/books?id=iVkugqNG9dAC&dq=Einstein&pg=PA71
Gauch, Scientific Method in Practice (Cambridge U P, 2003), pp 71–72. https://books.google.com/books?id=iVkugqNG9dAC&dq=Einstein&pg=PA71
Gauch, Scientific Method in Practice (Cambridge U P, 2003), pp 71–72. https://books.google.com/books?id=iVkugqNG9dAC&dq=Einstein&pg=PA71
Gauch, Scientific Method in Practice (Cambridge U P, 2003), pp 71–72. https://books.google.com/books?id=iVkugqNG9dAC&dq=Einstein&pg=PA71
Gauch, Scientific Method in Practice (Cambridge U P, 2003), pp 71–72. https://books.google.com/books?id=iVkugqNG9dAC&dq=Einstein&pg=PA71
Achinstein, Science Rules (JHU P, 2004), pp 127, 130. https://books.google.com/books?id=iRGPAR8vJZkC&pg=PA127
Achinstein, Science Rules (JHU P, 2004), pp 127, 130. https://books.google.com/books?id=iRGPAR8vJZkC&pg=PA127
A physical example makes the illogicality clearer: If it rained, the lawn will be wet; the lawn is wet; therefore it rained.
Kyle Stanford, "Underdetermination of scientific theory", in Edward N Zalta, ed, Stanford Encyclopedia of Philosophy (Online: Winter 2021), sec 3.3 "Unconceived alternatives and a new induction", /wiki/Stanford_Encyclopedia_of_Philosophy
Kyle Stanford, "Underdetermination of scientific theory", in Edward N Zalta, ed, Stanford Encyclopedia of Philosophy (Online: Winter 2021), sec 3.3 "Unconceived alternatives and a new induction", /wiki/Stanford_Encyclopedia_of_Philosophy
Harry Collins & Trevor Pinch, The Golem: What You Should Know About Science, 2nd edn (New York: Cambridge University Press, 1998), p 3. https://books.google.com/books?id=TCFI7vp7dJ4C&dq=regress&pg=PA3
Dickson, Michael; Baird, Davis (2011). "Significance Testing". Philosophy of Statistics. pp. 199–229. doi:10.1016/B978-0-444-51862-0.50006-X. ISBN 978-0-444-51862-0. 978-0-444-51862-0
Achinstein, Science Rules (JHU P, 2004), pp 127, 130. https://books.google.com/books?id=iRGPAR8vJZkC&pg=PA127
Achinstein, Science Rules (JHU P, 2004), pp 127, 130–32. https://books.google.com/books?id=iRGPAR8vJZkC&pg=PA127
Achinstein, Science Rules (JHU P, 2004), pp 127, 130, 132–33. https://books.google.com/books?id=iRGPAR8vJZkC&pg=PA127
Achinstein, Science Rules (JHU P, 2004), pp 127, 130, 132–33. https://books.google.com/books?id=iRGPAR8vJZkC&pg=PA127
Achinstein, Science Rules (JHU P, 2004), pp 127, 130, 132–33. https://books.google.com/books?id=iRGPAR8vJZkC&pg=PA127
Paul Redding, "Georg Wilhelm Friedrich Hegel", in Edward Zalta, en, Stanford Encyclopedia of Philosophy (Online: Winter 2020), preface & sec 1 "Life, work, and influence". https://plato.stanford.edu/archives/win2020/entries/hegel
Sgarbi, Aristotelian Tradition and the Rise of British Empiricism (Springer, 2013), pp 167–68. https://books.google.com/books?id=ELx63hgphNMC&pg=PA167
Simpson, "Francis Bacon", §k "Induction", in IEP. http://www.iep.utm.edu/bacon/#SH2k
Mill, A System of Logic (J W Parker, 1843), p 378: "It was, above all, by pointing out the insufficiency of this rude and loose conception of Induction, that Bacon merited the title so generally awarded to him, of the Founder of the Inductive Philosophy. The value of his own contributions to a more philosophical theory of the subject has certainly been exaggerated. Although (along with some fundamental errors) his writings contain, more or less fully developed, several of the most important principles of the Inductive Method, physical investigation has now far outgrown the Baconian model of Induction. Moral and political inquiry, indeed, are as yet far behind that conception. The current and approved modes of reasoning on these subjects are still of the same vicious description against which Bacon protested: the method almost exclusively employed by those professing to treat such matters inductively, is the very inductio per enumerationem simplicem which he condemns; and the experience, which we hear so confidently appealed to by all sects, parties, and interests, is still, in his own emphatic words, mera palpatio. https://books.google.com/books?id=y4MEAAAAQAAJ&dq=Bacon+Baconian+Induction&pg=PA378
Simpson, "Francis Bacon", §k "Induction", in IEP. http://www.iep.utm.edu/bacon/#SH2k
Simpson, "Francis Bacon", §k "Induction", in IEP. http://www.iep.utm.edu/bacon/#SH2k
McMullin, ch 2 in Lindberg & Westman, eds, Reappraisals of the Scientific Revolution (Cambridge U P, 1990), p 48. https://books.google.com/books?id=zZwmSc--fR8C&dq=Bacon+inductive+hypothetico-deductive+falsificationism+Whewell&pg=PA48
McMullin, ch 2 in Lindberg & Westman, eds, Reappraisals of the Scientific Revolution (Cambridge U P, 1990), p 48. https://books.google.com/books?id=zZwmSc--fR8C&dq=Bacon+inductive+hypothetico-deductive+falsificationism+Whewell&pg=PA48
McMullin, ch 2 in Lindberg & Westman, eds, Reappraisals of the Scientific Revolution (Cambridge U P, 1990), p 48. https://books.google.com/books?id=zZwmSc--fR8C&dq=Bacon+inductive+hypothetico-deductive+falsificationism+Whewell&pg=PA48
McMullin, ch 2 in Lindberg & Westman, eds, Reappraisals of the Scientific Revolution (Cambridge U P, 1990), p 48. https://books.google.com/books?id=zZwmSc--fR8C&dq=Bacon+inductive+hypothetico-deductive+falsificationism+Whewell&pg=PA48
McMullin, ch 2 in Lindberg & Westman, eds, Reappraisals of the Scientific Revolution (Cambridge U P, 1990), p 48. https://books.google.com/books?id=zZwmSc--fR8C&dq=Bacon+inductive+hypothetico-deductive+falsificationism+Whewell&pg=PA48
McMullin, ch 2 in Lindberg & Westman, eds, Reappraisals of the Scientific Revolution (Cambridge U P, 1990), p 54. https://books.google.com/books?id=zZwmSc--fR8C&dq=Bacon+inductive+falsificationist+hypothetico-deductive&pg=PA54
McMullin, ch 2 in Lindberg & Westman, eds, Reappraisals of the Scientific Revolution (Cambridge U P, 1990), p 52: "Bacon rejects atomism because he believes that the corollary doctrines of the vacuum and the unchangeableness of the atoms are false (II, 8). But he asserts the existence of real imperceptible particles and other occult constituents of bodies (such as 'spirit'), upon which the observed properties of things depend (II, 7). But how are these to be known? He asks us not to be 'alarmed at the subtlety of the investigation', because 'the nearer it approaches to simple natures, the easier and plainer will everything become, the business being transferred from the complicated to the simple...as in the case of the letters of the alphabet and the notes of music' (II, 8). And then, somewhat tantalizingly, he adds: 'Inquiries into nature have the best result when they begin with physics and end with mathematics'. Bacon believes that the investigator can 'reduce the non-sensible to the sensible, that is, make manifest things not directly perceptible by means of others which are' (II, 40)". https://books.google.com/books?id=zZwmSc--fR8C&pg=PA52
McMullin, ch 2 in Lindberg & Westman, eds, Reappraisals of the Scientific Revolution (Cambridge U P, 1990), p 52: "Bacon rejects atomism because he believes that the corollary doctrines of the vacuum and the unchangeableness of the atoms are false (II, 8). But he asserts the existence of real imperceptible particles and other occult constituents of bodies (such as 'spirit'), upon which the observed properties of things depend (II, 7). But how are these to be known? He asks us not to be 'alarmed at the subtlety of the investigation', because 'the nearer it approaches to simple natures, the easier and plainer will everything become, the business being transferred from the complicated to the simple...as in the case of the letters of the alphabet and the notes of music' (II, 8). And then, somewhat tantalizingly, he adds: 'Inquiries into nature have the best result when they begin with physics and end with mathematics'. Bacon believes that the investigator can 'reduce the non-sensible to the sensible, that is, make manifest things not directly perceptible by means of others which are' (II, 40)". https://books.google.com/books?id=zZwmSc--fR8C&pg=PA52
McMullin, ch 2 in Lindberg & Westman, eds, Reappraisals of the Scientific Revolution (Cambridge U P, 1990), p 52: "Bacon rejects atomism because he believes that the corollary doctrines of the vacuum and the unchangeableness of the atoms are false (II, 8). But he asserts the existence of real imperceptible particles and other occult constituents of bodies (such as 'spirit'), upon which the observed properties of things depend (II, 7). But how are these to be known? He asks us not to be 'alarmed at the subtlety of the investigation', because 'the nearer it approaches to simple natures, the easier and plainer will everything become, the business being transferred from the complicated to the simple...as in the case of the letters of the alphabet and the notes of music' (II, 8). And then, somewhat tantalizingly, he adds: 'Inquiries into nature have the best result when they begin with physics and end with mathematics'. Bacon believes that the investigator can 'reduce the non-sensible to the sensible, that is, make manifest things not directly perceptible by means of others which are' (II, 40)". https://books.google.com/books?id=zZwmSc--fR8C&pg=PA52
Simpson, "Francis Bacon", §k "Induction", in IEP. http://www.iep.utm.edu/bacon/#SH2k
Bolotin, Approach to Aristotle's Physics (SUNY P, 1998), p 1. https://books.google.com/books?id=LLqB1IfeSZ0C&pg=PA1
Stahl et al., Webs of Reality (Rutgers U P), ch 2 "Newtonian revolution". https://books.google.com/books?id=GY6i84rSKMcC&pg=PA72
Stahl et al., Webs of Reality (Rutgers U P), ch 2 "Newtonian revolution". https://books.google.com/books?id=GY6i84rSKMcC&pg=PA72
Stahl et al., Webs of Reality (Rutgers U P), ch 2 "Newtonian revolution". https://books.google.com/books?id=GY6i84rSKMcC&pg=PA72
Roberto Torretti, The Philosophy of Physics (Cambridge: Cambridge University Press, 1999), p 436. https://books.google.com/books?id=vg_wxiLRvvYC&dq=Newton+Einstein+concepts+laws&pg=PA436
James Ladyman, Understanding Philosophy of Science (London & New York: Routledge, 2002), pp 51–58 /wiki/Routledge
Chhanda Chakraborti, Logic: Informal, Symbolic and Inductive (New Delhi: Prentice-Hall of India, 2007), p 381.Friedman, Reconsidering Logical Positivism (Cambridge U P, 1999), p xii. https://books.google.com/books?id=Y2u8C_ur8VIC&dq=uniformity+of+nature+problem+of+induction&pg=PA381
Chhanda Chakraborti, Logic: Informal, Symbolic and Inductive (New Delhi: Prentice-Hall of India, 2007), p 381.Friedman, Reconsidering Logical Positivism (Cambridge U P, 1999), p xii. https://books.google.com/books?id=Y2u8C_ur8VIC&dq=uniformity+of+nature+problem+of+induction&pg=PA381
Flew, Dictionary (St Martin's, 1984), "Hume", p 156. https://books.google.com/books?id=MmJHVU9Rv3YC&dq=induction+scandal+sceptical+common+sense+logical+natural&pg=PA156
McWherter, The Problem of Critical Ontology (Palgrave, 2013), p 38: "Since Hume reduces objects of experience to spatiotemporally individuated instances of sensation with no necessary connection to each other (atomistic events), the closest they can come to a causal relation is a regularly repeated succession (constant conjunction), while for Kant the task of transcendental synthesis is to bestow unity and necessary connections upon the atomistic and contingently related contributions of sensibility". https://books.google.com/books?id=LREYm_M0iJIC&dq=Hume+Kant&pg=PA38
Flew, Dictionary (St Martin's, 1984), "Hume", p 156. https://books.google.com/books?id=MmJHVU9Rv3YC&dq=induction+scandal+sceptical+common+sense+logical+natural&pg=PA156
Gattei, Karl Popper's Philosophy of Science (Routledge, 2009), pp 28–29. https://books.google.com/books?id=oPPu1JvMBFoC&pg=PA28
Flew, Dictionary (St Martin's, 1984), "Hume", p 154: "Like Kant, Hume sees himself as conducting an anti-Copernican counter-revolution. Through his investigations of the heavens, Copernicus knocked the Earth, and by implication man, from the centre of the Universe. Hume's study of our human nature was to put that at the centre of every map of knowledge". https://books.google.com/books?id=MmJHVU9Rv3YC&pg=PA154
Schliesser, "Hume's Newtonianism and anti-Newtonianism", § intro, in SEP. http://plato.stanford.edu/archives/win2008/entries/hume-newton
Redman, Rise of Political Economy as a Science (MIT P, 1997), p 183. https://books.google.com/books?id=1faeMedY8k8C&dq=theism&pg=PA1832
Flew, Dictionary (St Martin's, 1984), "Hume's fork", p 156. https://books.google.com/books?id=MmJHVU9Rv3YC&dq=popular+Kant+havoc&pg=PA156
Flew, Dictionary (St Martin's, 1984), "Hume's fork", p 156. https://books.google.com/books?id=MmJHVU9Rv3YC&dq=popular+Kant+havoc&pg=PA156
Will Durant, The Story of Philosophy (New York: Pocket Books, 2006), p 457 https://books.google.com/books?id=PXIg5EOsbIQC&pg=PA457
Fetzer, "Carl Hempel", §2.1 "The analytic/synthetic distinction", in SEP: "Empiricism historically stands in opposition to Rationalism, which is represented most prominently by Immanuel Kant, who argued that the mind, in processing experiences, imposes certain properties on whatever we experience, including what he called Forms of Intuition and Categories of Understanding. The Forms of Intuition impose Euclidean spatial relations and Newtonian temporal relations; the Categories of Understanding require objects to be interpreted as substances, and causes as inherently deterministic. Several developments in the history of science, such as the emergence of the theory of relativity and of quantum mechanics, undermine Kant's position by introducing the role of frames of reference and of probabilistic causation. Newer versions are associated with Noam Chomsky and with Jerry Fodor, who have championed the ideas of an innate syntax and innate semantics, respectively (Chomsky 1957; Fodor 1975; Chomsky 1986)". http://plato.stanford.edu/archives/spr2013/entries/hempel
Friis, Herman R. (1942). "Review of Wilderness Chronicles of Northwestern Pennsylvania; Pen Pictures of Early Western Pennsylvania; The Planting of Civilization in Western Pennsylvania". Geographical Review. 32 (3): 512–513. doi:10.2307/210401. JSTOR 210401. /wiki/Doi_(identifier)
McWherter, The Problem of Critical Ontology (Palgrave, 2013), p 38: "Since Hume reduces objects of experience to spatiotemporally individuated instances of sensation with no necessary connection to each other (atomistic events), the closest they can come to a causal relation is a regularly repeated succession (constant conjunction), while for Kant the task of transcendental synthesis is to bestow unity and necessary connections upon the atomistic and contingently related contributions of sensibility". https://books.google.com/books?id=LREYm_M0iJIC&dq=Hume+Kant&pg=PA38
Will Durant, The Story of Philosophy (New York: Pocket Books, 2006), p 457 https://books.google.com/books?id=PXIg5EOsbIQC&pg=PA457
Avineri, Shlomo (1962). "Hegel and Nationalism". The Review of Politics. 24 (4): 461–484. doi:10.1017/S0034670500012389. JSTOR 1405358. /wiki/Doi_(identifier)
Delanty, Social Science (U Minnesota P, 1997), pp 26, 29. https://books.google.com/books?id=E87ziy2qEqgC&dq=Comte&pg=PA26
Antony Flew, A Dictionary of Philosophy, 2nd edn (New York: St Martin's Press, 1984), "positivism", p 283. https://books.google.com/books?id=MmJHVU9Rv3YC&dq=positivism&pg=PA283
Michel Bourdeau, "Auguste Comte", in Edward N Zalta, ed, The Stanford Encyclopedia of Philosophy, Winter 2014 edn. http://plato.stanford.edu/archives/win2014/entries/comte
Will Durant, The Story of Philosophy (New York: Pocket Books, 2006), p 458 https://books.google.com/books?id=PXIg5EOsbIQC&dq=Comte+sciences&pg=PA458
Antony Flew, A Dictionary of Philosophy, 2nd edn (New York: St Martin's Press, 1984), "positivism", p 283. https://books.google.com/books?id=MmJHVU9Rv3YC&dq=positivism&pg=PA283
Antony Flew, A Dictionary of Philosophy, 2nd edn (New York: St Martin's Press, 1984), "positivism", p 283. https://books.google.com/books?id=MmJHVU9Rv3YC&dq=positivism&pg=PA283
Antony Flew, A Dictionary of Philosophy, 2nd edn (New York: St Martin's Press, 1984), "positivism", p 283. https://books.google.com/books?id=MmJHVU9Rv3YC&dq=positivism&pg=PA283
Michel Bourdeau, "Auguste Comte", in Edward N Zalta, ed, The Stanford Encyclopedia of Philosophy, Winter 2014 edn. http://plato.stanford.edu/archives/win2014/entries/comte
Michel Bourdeau, "Auguste Comte", in Edward N Zalta, ed, The Stanford Encyclopedia of Philosophy, Winter 2014 edn. http://plato.stanford.edu/archives/win2014/entries/comte
Antony Flew, A Dictionary of Philosophy, 2nd edn (New York: St Martin's Press, 1984), "positivism", p 283. https://books.google.com/books?id=MmJHVU9Rv3YC&dq=positivism&pg=PA283
Delanty, Social Science (U Minnesota P, 1997), pp 26–27. https://books.google.com/books?id=E87ziy2qEqgC&pg=PA26
Antony Flew, A Dictionary of Philosophy, 2nd edn (New York: St Martin's Press, 1984), "positivism", p 283. https://books.google.com/books?id=MmJHVU9Rv3YC&dq=positivism&pg=PA283
Michel Bourdeau, "Auguste Comte", in Edward N Zalta, ed, The Stanford Encyclopedia of Philosophy, Winter 2014 edn. http://plato.stanford.edu/archives/win2014/entries/comte
Antony Flew, A Dictionary of Philosophy, 2nd edn (New York: St Martin's Press, 1984), "positivism", p 283. https://books.google.com/books?id=MmJHVU9Rv3YC&dq=positivism&pg=PA283
Antony Flew, A Dictionary of Philosophy, 2nd edn (New York: St Martin's Press, 1984), "positivism", p 283. https://books.google.com/books?id=MmJHVU9Rv3YC&dq=positivism&pg=PA283
Friis, Herman R. (1942). "Review of Wilderness Chronicles of Northwestern Pennsylvania; Pen Pictures of Early Western Pennsylvania; The Planting of Civilization in Western Pennsylvania". Geographical Review. 32 (3): 512–513. doi:10.2307/210401. JSTOR 210401. /wiki/Doi_(identifier)
Antony Flew, A Dictionary of Philosophy, 2nd edn (New York: St Martin's Press, 1984), "positivism", p 283. https://books.google.com/books?id=MmJHVU9Rv3YC&dq=positivism&pg=PA283
Delanty, Social Science (U Minnesota P, 1997), pp 26–27. https://books.google.com/books?id=E87ziy2qEqgC&pg=PA26
Mill, A System of Logic (J W Parker, 1843), p 378: "It was, above all, by pointing out the insufficiency of this rude and loose conception of Induction, that Bacon merited the title so generally awarded to him, of the Founder of the Inductive Philosophy. The value of his own contributions to a more philosophical theory of the subject has certainly been exaggerated. Although (along with some fundamental errors) his writings contain, more or less fully developed, several of the most important principles of the Inductive Method, physical investigation has now far outgrown the Baconian model of Induction. Moral and political inquiry, indeed, are as yet far behind that conception. The current and approved modes of reasoning on these subjects are still of the same vicious description against which Bacon protested: the method almost exclusively employed by those professing to treat such matters inductively, is the very inductio per enumerationem simplicem which he condemns; and the experience, which we hear so confidently appealed to by all sects, parties, and interests, is still, in his own emphatic words, mera palpatio. https://books.google.com/books?id=y4MEAAAAQAAJ&dq=Bacon+Baconian+Induction&pg=PA378
Blaug, Methodology of Economics, 2nd edn (Cambridge U P, 1992), ch 3 "The verificationists, a largely nineteenth-century story", p 51. https://books.google.com/books?id=T4y7HyduGnIC&dq=verificationists&pg=PA51
Flew, Dictionary (St Martin's, 1984), "Mill's methods", p 232. https://books.google.com/books?id=MmJHVU9Rv3YC&dq=Mill's+methods&pg=PA232
Delanty, Social Science (U Minnesota P, 1997), pp 26–27. https://books.google.com/books?id=E87ziy2qEqgC&pg=PA26
Delanty, Social Science (U Minnesota P, 1997), pp 26–27. https://books.google.com/books?id=E87ziy2qEqgC&pg=PA26
Delanty, Social Science (U Minnesota P, 1997), pp 26–27. https://books.google.com/books?id=E87ziy2qEqgC&pg=PA26
Delanty, Social Science (U Minnesota P, 1997), pp 26–27. https://books.google.com/books?id=E87ziy2qEqgC&pg=PA26
Delanty, Social Science (U Minnesota P, 1997), pp 26–27. https://books.google.com/books?id=E87ziy2qEqgC&pg=PA26
McKerrow, H. Gardner (1921). "The Truth About the Dye Industry". Scientific American. 124 (21): 408–419. Bibcode:1921SciAm.124..408M. doi:10.1038/scientificamerican05211921-408. JSTOR 24979831. /wiki/Bibcode_(identifier)
Delanty, Social Science (U Minnesota P, 1997), pp 26–27. https://books.google.com/books?id=E87ziy2qEqgC&pg=PA26
Delanty, Social Science (U Minnesota P, 1997), pp 26–27. https://books.google.com/books?id=E87ziy2qEqgC&pg=PA26
Delanty, Social Science (U Minnesota P, 1997), pp 26–27. https://books.google.com/books?id=E87ziy2qEqgC&pg=PA26
Delanty, Social Science (U Minnesota P, 1997), pp 26–27. https://books.google.com/books?id=E87ziy2qEqgC&pg=PA26
Delanty, Social Science (U Minnesota P, 1997), pp 26–27. https://books.google.com/books?id=E87ziy2qEqgC&pg=PA26
Delanty, Social Science (U Minnesota P, 1997), pp 26–27. https://books.google.com/books?id=E87ziy2qEqgC&pg=PA26
Delanty, Social Science (U Minnesota P, 1997), pp 26–27. https://books.google.com/books?id=E87ziy2qEqgC&pg=PA26
Delanty, Social Science (U Minnesota P, 1997), pp 26–27. https://books.google.com/books?id=E87ziy2qEqgC&pg=PA26
Delanty, Social Science (U Minnesota P, 1997), pp 26–27. https://books.google.com/books?id=E87ziy2qEqgC&pg=PA26
Delanty, Social Science (U Minnesota P, 1997), pp 26–27. https://books.google.com/books?id=E87ziy2qEqgC&pg=PA26
Delanty, Social Science (U Minnesota P, 1997), pp 26–27. https://books.google.com/books?id=E87ziy2qEqgC&pg=PA26
Delanty, Social Science (U Minnesota P, 1997), pp 26–27. https://books.google.com/books?id=E87ziy2qEqgC&pg=PA26
Delanty, Social Science (U Minnesota P, 1997), pp 26–27. https://books.google.com/books?id=E87ziy2qEqgC&pg=PA26
Delanty, Social Science (U Minnesota P, 1997), pp 26–27. https://books.google.com/books?id=E87ziy2qEqgC&pg=PA26
Delanty, Social Science (U Minnesota P, 1997), pp 26–27. https://books.google.com/books?id=E87ziy2qEqgC&pg=PA26
Delanty, Social Science (U Minnesota P, 1997), pp 26–27. https://books.google.com/books?id=E87ziy2qEqgC&pg=PA26
Delanty, Social Science (U Minnesota P, 1997), pp 26–27. https://books.google.com/books?id=E87ziy2qEqgC&pg=PA26
George Cooper, The Origin of Financial Crises: Central Banks, Credit Bubbles and the Efficient Market Fallacy (Hampshire GB: Harriman House, 2008), p 64: "Once again, John Maynard Keynes appears in the story. Following World War I, Keynes became a part of the team responsible for imposing the peace settlement on the defeated Germany. Recognising that the proposed reparations demanded of Germany would bankrupt the country, Keynes resigned his position, and wrote The Economic Consequences of the Peace, explaining the problem. Keynes was ignored, the treaty was imposed, and as predicted, Germany was bankrupted. As part of the reparations process, the German government was forced to pay away a large part of the gold reserves that back its currency. They payments, coupled with the government resorting to printing still more currency, produced a spiralling hyperinflation. The resultant economic collapse is today recognised as being a significant element in the subsequent rise of extremism. In a nutshell—World War II was in part born from poor economic and monetary policy as a result of the treaty which ended WWI, and which Keynes opposed". https://books.google.com/books?id=4XWH_SqAkHMC&dq=Keynes+hyperinflation+Consequences+gold&pg=PA64
Moyer, Donald Franklin (1979). "Revolution in Science: The 1919 Eclipse Test of General Relativity". On the Path of Albert Einstein. pp. 55–101. doi:10.1007/978-1-4684-3596-2_4. ISBN 978-1-4684-3598-6. 978-1-4684-3598-6
Fulvio Melia, The Black Hole at the Center of Our Galaxy (Princeton: Princeton University Press, 2003), pp 83–87. https://books.google.com/books?id=nmBLT-X5bOQC&pg=PA83
Crelinsten, Einstein's Jury (Princeton U P, 2006), p 28. https://books.google.com/books?id=W1Dt15vWYGQC&dq=1928&pg=PA296
Grundmann & Stehr, Power of Scientific Knowledge (Cambridge U P, 2012), pp 77–80. https://books.google.com/books?id=Dvx9FtdeU1sC&pg=PA77
Pernick, M S (November 1997). "Eugenics and public health in American history". American Journal of Public Health. 87 (11): 1767–1772. doi:10.2105/ajph.87.11.1767. PMC 1381159. PMID 9366633. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1381159
Scull, Andrew (October 1999). "Mathew Thomson, The problem of mental deficiency: eugenics, democracy, and social policy in Britain c. 1870–1959, Oxford Historical Monographs, Oxford, Clarendon Press, 1998, pp. ix, 351, £48.00 (0-19-820692-5)". Medical History. 43 (4): 527–528. doi:10.1017/S0025727300065868. PMC 1044197. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1044197
Positive eugenics seeks to stimulate population growth of desired groups, whereas negative eugenics seeks direct curtailment of undesired groups.
Delanty, Social Science (U Minnesota P, 1997), pp 29–30. https://books.google.com/books?id=E87ziy2qEqgC&pg=PA29
Godfrey-Smith, Theory and Reality: (U Chicago P, 2003), pp 24–25. https://books.google.com/books?id=k23egtSWrb8C&q=Heidegger&pg=PA24
Crucial influences were Wittgenstein's philosophy of language in Tractatus Logico-Philosophicus, Russell's logical atomism, and Mach's phenomenalism as well as Machian positivism. /wiki/Ludwig_Wittgenstein
NonEuclidean geometries—that is, geometry on curved surfaces or in "curved space"—were the first major advances in geometry since Euclid in ancient Greece. /wiki/NonEuclidean_geometry
In the 1870s, through vast work, Peirce as well as Frege independently resolved deductive inference, which had not been developed since antiquity, as equivalent to mathematical proof. Later, Frege and Russell launched the program logicism to reconstruct mathematics wholly from logic—a reduction of mathematics to logic as the foundation of mathematics—and thereby render irrelevant such idealist or Platonic realist suppositions of independent mathematical truths, abstract objects real and yet nonspatial and nontemporal. Frege abandoned the program, yet Russell continued it with Whitehead before they, too, abandoned it. /wiki/C_S_Peirce
In particular, Einstein's general theory of relativity was their paradigmatic model of science, although questions provoked by emergence of quantum mechanics also drew some focus. /wiki/General_theory_of_relativity
Godfrey-Smith, Theory and Reality: (U Chicago P, 2003), pp 24–25. https://books.google.com/books?id=k23egtSWrb8C&q=Heidegger&pg=PA24
According to an envisioned unity of science, within the empirical sciences—but not the formal sciences, which are abstract—there is fundamental science as fundamental physics, whereas all other sciences—including chemistry, biology, astronomy, geology, psychology, economics, sociology, and so on—are the special sciences, in principle derivable from as well as reducible to fundamental science. /wiki/Unity_of_science
Friedman, Reconsidering Logical Positivism (Cambridge U P, 1999), pp 2–5. https://books.google.com/books?id=e9TjZc9wNUAC&dq=justify+empirical+special+secure+foundation+data+sense&pg=PA2
Chhanda Chakraborti, Logic: Informal, Symbolic and Inductive (New Delhi: Prentice-Hall of India, 2007), p 381.Friedman, Reconsidering Logical Positivism (Cambridge U P, 1999), p xii. https://books.google.com/books?id=Y2u8C_ur8VIC&dq=uniformity+of+nature+problem+of+induction&pg=PA381
Murzi, "Rudolf Carnap", IEP. http://www.iep.utm.edu/carnap
Concerning reality, the necessary is a state true in all possible worlds—mere logical validity—whereas the contingent hinges on the way the particular world is.Concerning knowledge, the a priori is knowable before or without, whereas the a posteriori is knowable only after or through, relevant experience.Concerning statements, the analytic is true via terms' arrangement and meanings, thus a tautology—true by logical necessity but uninformative about the world—whereas the synthetic adds reference to a state of facts, a contingency.In 1739, Hume cast a fork aggressively dividing "relations of ideas" from "matters of fact and real existence", such that all truths are of one type or the other. Truths by relations among ideas (abstract) all align on one side (analytic, necessary, a priori). Truths by states of actualities (concrete) always align on the other side (synthetic, contingent, a posteriori). At any treatises containing neither, Hume orders, "Commit it then to the flames, for it can contain nothing but sophistry and illusion".Flew, Dictionary (St Martin's, 1984), p 156Mitchell, Roots (Wadsworth, 2011), pp 249–50. /wiki/Metaphysics
Fetzer, "Carl Hempel", §2 "The critique of logical positivism", in SEP: "However surprising it may initially seem, contemporary developments in the philosophy of science can only be properly appreciated in relation to the historical background of logical positivism. Hempel himself attained a certain degree of prominence as a critic of this movement. Language, Truth and Logic (1936; 2nd edition, 1946), authored by A J Ayer, offers a lucid exposition of the movement, which was—with certain variations—based upon the analytic/synthetic distinction, the observational/theoretical distinction, and the verifiability criterion of meaningfulness". http://plato.stanford.edu/archives/spr2013/entries/hempel
Challenges to scientific realism are captured succinctly by Bolotin, Approach to Aristotle's Physics (SUNY P, 1998), p 33–34, commenting about modern science, "But it has not succeeded, of course, in encompassing all phenomena, at least not yet. For it laws are mathematical idealizations, idealizations, moreover, with no immediate basis in experience and with no evident connection to the ultimate causes of the natural world. For instance, Newton's first law of motion (the law of inertia) requires us to imagine a body that is always at rest or else moving aimlessly in a straight line at a constant speed, even though we never see such a body, and even though according to his own theory of universal gravitation, it is impossible that there can be one. This fundamental law, then, which begins with a claim about what would happen in a situation that never exists, carries no conviction except insofar as it helps to predict observable events. Thus, despite the amazing success of Newton's laws in predicting the observed positions of the planets and other bodies, Einstein and Infeld are correct to say, in The Evolution of Physics, that 'we can well imagine another system, based on different assumptions, might work just as well'. Einstein and Infeld go on to assert that 'physical concepts are free creations of the human mind, and are not, however it may seem, uniquely determined by the external world'. To illustrate what they mean by this assertion, they compare the modern scientist to a man trying to understand the mechanism of a closed watch. If he is ingenious, they acknowledge, this man 'may form some picture of a mechanism which would be responsible for all the things he observes'. But they add that he 'may never quite be sure his picture is the only one which could explain his observations. He will never be able to compare his picture with the real mechanism and he cannot even imagine the possibility or the meaning of such a comparison'. In other words, modern science cannot claim, and it will never be able to claim, that it has the definite understanding of any natural phenomenon". /wiki/Scientific_realism
Chakravartty, "Scientific realism", §1.2 "The three dimensions of realist commitment", in SEP: "Semantically, realism is committed to a literal interpretation of scientific claims about the world. In common parlance, realists take theoretical statements at 'face value'. According to realism, claims about scientific entities, processes, properties, and relations, whether they be observable or unobservable, should be construed literally as having truth values, whether true or false. This semantic commitment contrasts primarily with those of so-called instrumentalist epistemologies of science, which interpret descriptions of unobservables simply as instruments for the prediction of observable phenomena, or for systematizing observation reports. Traditionally, instrumentalism holds that claims about unobservable things have no literal meaning at all (though the term is often used more liberally in connection with some antirealist positions today). Some antirealists contend that claims involving unobservables should not be interpreted literally, but as elliptical for corresponding claims about observables". http://plato.stanford.edu/archives/sum2013/entries/scientific-realism
Chakravartty, "Scientific realism", §1.2 "The three dimensions of realist commitment", in SEP: "Semantically, realism is committed to a literal interpretation of scientific claims about the world. In common parlance, realists take theoretical statements at 'face value'. According to realism, claims about scientific entities, processes, properties, and relations, whether they be observable or unobservable, should be construed literally as having truth values, whether true or false. This semantic commitment contrasts primarily with those of so-called instrumentalist epistemologies of science, which interpret descriptions of unobservables simply as instruments for the prediction of observable phenomena, or for systematizing observation reports. Traditionally, instrumentalism holds that claims about unobservable things have no literal meaning at all (though the term is often used more liberally in connection with some antirealist positions today). Some antirealists contend that claims involving unobservables should not be interpreted literally, but as elliptical for corresponding claims about observables". http://plato.stanford.edu/archives/sum2013/entries/scientific-realism
Okasha, Philosophy of Science (Oxford U P, 2002), p 62: "Strictly we should distinguish two sorts of anti-realism. According to the first sort, talk of unobservable entities is not to be understood literally at all. So when a scientist pus forward a theory about electrons, for example, we should not take him to be asserting the existence of entities called 'electrons'. Rather, his talk of electrons is metaphorical. This form of anti-realism was popular in the first half of the 20th century, but few people advocate it today. It was motivated largely by a doctrine in the philosophy of language, according to which it is not possible to make meaningful assertions about things that cannot in principle be observed, a doctrine that few contemporary philosophers accept. The second sort of anti-realism accepts that talk of unobservable entities should be taken at face value: if a theory says that electrons are negatively charged, it is true if electrons do exist and are negatively charged, but false otherwise. But we will never know which, says the anti-realist. So the correct attitude towards the claims that scientists make about unobservable reality is one of total agnosticism. They are either true or false, but we are incapable of finding out which. Most modern anti-realism is of this second sort". https://books.google.com/books?id=W2jCrzKYqxMC&pg=PA62
Chakravartty, "Scientific realism", §4 "Antirealism: Foils for scientific realism", §§4.1 "Empiricism", in SEP: "Traditionally, instrumentalists maintain that terms for unobservables, by themselves, have no meaning; construed literally, statements involving them are not even candidates for truth or falsity. The most influential advocates of instrumentalism were the logical empiricists (or logical positivists), including Carnap and Hempel, famously associated with the Vienna Circle group of philosophers and scientists as well as important contributors elsewhere. In order to rationalize the ubiquitous use of terms which might otherwise be taken to refer to unobservables in scientific discourse, they adopted a non-literal semantics according to which these terms acquire meaning by being associated with terms for observables (for example, 'electron' might mean 'white streak in a cloud chamber'), or with demonstrable laboratory procedures (a view called 'operationalism'). Insuperable difficulties with this semantics led ultimately (in large measure) to the demise of logical empiricism and the growth of realism. The contrast here is not merely in semantics and epistemology: a number of logical empiricists also held the neo-Kantian view that ontological questions 'external' to the frameworks for knowledge represented by theories are also meaningless (the choice of a framework is made solely on pragmatic grounds), thereby rejecting the metaphysical dimension of scientific realism|realism (as in Carnap 1950)". http://plato.stanford.edu/archives/sum2013/entries/scientific-realism
Godfrey-Smith, Theory and Reality: (U Chicago P, 2003), pp 24–25. https://books.google.com/books?id=k23egtSWrb8C&q=Heidegger&pg=PA24
Chhanda Chakraborti, Logic: Informal, Symbolic and Inductive (New Delhi: Prentice-Hall of India, 2007), p 381.Friedman, Reconsidering Logical Positivism (Cambridge U P, 1999), p xii. https://books.google.com/books?id=Y2u8C_ur8VIC&dq=uniformity+of+nature+problem+of+induction&pg=PA381
Hacohen, Karl Popper—The Formative Years (Cambridge U P, 2000), p 279. https://books.google.com/books?id=3VtHcYGp2pIC&dq=Popper+Official+Opposition+degree+confirmation+probability+Neurath&pg=PA279
Hacohen, Karl Popper—The Formative Years (Cambridge U P, 2000), p 279. https://books.google.com/books?id=3VtHcYGp2pIC&dq=Popper+Official+Opposition+degree+confirmation+probability+Neurath&pg=PA279
Hacohen, Karl Popper—The Formative Years (Cambridge U P, 2000), p 279. https://books.google.com/books?id=3VtHcYGp2pIC&dq=Popper+Official+Opposition+degree+confirmation+probability+Neurath&pg=PA279
Mary Hesse, "Bayesian methods and the initial probabilities of theories", pp 50–105, in Maxwell & Anderson, eds (U Minnesota P, 1975), p 100: "There are two major contending concepts for the task of explicating the simplicity of hypotheses, which may be described respectively as the concepts of content and economy. First, the theory is usually required to have high power or content; to be at once general and specific, and to make precise and detailed claims about the state of the world; that is, in Popper's terminology, to be highly falsifiable. This, as Popper maintains against all probabilistic theories of induction, has the consequence that good theories should be in general improbable, since the more claims a theory makes on the world, other things being equal, the less likely it is to be true. On the other hand, as would be insisted by inductivists, a good theory is one that is more likely than its rivals to be true, and in particular it is frequently assumed that simple theories are preferable because they require fewer premises and fewer concepts, and hence would appear to make fewer claims than more complex rivals about the state of the world, and hence be more probable". https://books.google.com/books?id=NlxhJE02JU8C&dq=Popper&pg=PA110
Karl Popper, The Two Fundamental Problems of the Theory of Knowledge (Abingdon & New York: Routledge, 2009), p 20. https://books.google.com/books?id=WHZ9AwAAQBAJ&dq=positivism&pg=PA20
Andrews, Keynes and the British Humanist Tradition (Routledge, 2010), pp 63–65. /wiki/Routledge
Russell, Basic Writings (Routledge, 2009), p 159. /wiki/Routledge
Grover Maxwell, "Induction and empiricism: A Bayesian-frequentist alternative", in pp 106–65, Maxwell & Anderson, eds (U Minnesota P, 1975), pp 111–17. https://books.google.com/books?id=NlxhJE02JU8C&dq=vindication+induction+good+best&pg=PA115
Grover Maxwell, "Induction and empiricism: A Bayesian-frequentist alternative", in pp 106–65, Maxwell & Anderson, eds (U Minnesota P, 1975), pp 111–17. https://books.google.com/books?id=NlxhJE02JU8C&dq=vindication+induction+good+best&pg=PA115
Grover Maxwell, "Induction and empiricism: A Bayesian-frequentist alternative", in pp 106–65, Maxwell & Anderson, eds (U Minnesota P, 1975), pp 111–17. https://books.google.com/books?id=NlxhJE02JU8C&dq=vindication+induction+good+best&pg=PA115
Grover Maxwell, "Induction and empiricism: A Bayesian-frequentist alternative", in pp 106–65, Maxwell & Anderson, eds (U Minnesota P, 1975), pp 111–17. https://books.google.com/books?id=NlxhJE02JU8C&dq=vindication+induction+good+best&pg=PA115
Murzi, "Rudolf Carnap", IEP. http://www.iep.utm.edu/carnap
Wilkinson & Campbell, Philosophy of Religion (Continuum, 2009), p 16. Ayer, Language, Truth and Logic, 2nd edn (Gollancz/Dover, 1952), pp 9–10. https://books.google.com/books?id=unUUhoidwosC&dq=weak+verification+Ayer&pg=PA16
Murzi, "Rudolf Carnap", IEP. http://www.iep.utm.edu/carnap
Murzi, "Rudolf Carnap", IEP. http://www.iep.utm.edu/carnap
Hintikka, "Logicism", in Philosophy of Mathematics (North Holland, 2009), pp 283–84. https://books.google.com/books?id=mbn35b2ghgkC&dq=Logical+positivism+logicism&pg=PA283
Hintikka, "Logicism", in Philosophy of Mathematics (North Holland, 2009), pp 283–84. https://books.google.com/books?id=mbn35b2ghgkC&dq=Logical+positivism+logicism&pg=PA283
Hintikka, "Logicism", in Philosophy of Mathematics (North Holland, 2009), pp 283–84. https://books.google.com/books?id=mbn35b2ghgkC&dq=Logical+positivism+logicism&pg=PA283
Bechtel, Philosophy of Science (Lawrence Earlbaum, 1988), pp 24–27.
Bechtel, Philosophy of Science (Lawrence Earlbaum, 1988), pp 24–27.
Torretti, Philosophy of Physics (Cambridge U P, 1999), 216. https://books.google.com/books?id=vg_wxiLRvvYC&dq=Comte+Mill&pg=PA216
Achinstein, Science Rules (JHU P, 2004), pp 127, 130. https://books.google.com/books?id=iRGPAR8vJZkC&pg=PA127
Torretti, Philosophy of Physics (Cambridge U P, 1999), pp 219–21. https://books.google.com/books?id=vg_wxiLRvvYC&dq=Whewell+induction+superinduction&pg=PA219
Torretti, Philosophy of Physics (Cambridge U P, 1999), pp 219–21. https://books.google.com/books?id=vg_wxiLRvvYC&dq=Whewell+induction+superinduction&pg=PA219
Torretti, Philosophy of Physics (Cambridge U P, 1999), pp 219–21. https://books.google.com/books?id=vg_wxiLRvvYC&dq=Whewell+induction+superinduction&pg=PA219
Torretti, Philosophy of Physics (Cambridge U P, 1999), pp 219–21. https://books.google.com/books?id=vg_wxiLRvvYC&dq=Whewell+induction+superinduction&pg=PA219
McMullin, ch 2 in Lindberg & Westman, eds, Reappraisals of the Scientific Revolution (Cambridge U P, 1990), p 48. https://books.google.com/books?id=zZwmSc--fR8C&dq=Bacon+inductive+hypothetico-deductive+falsificationism+Whewell&pg=PA48
Torretti, Philosophy of Physics (Cambridge U P, 1999), pp 226, 228–29. https://books.google.com/books?id=vg_wxiLRvvYC&dq=Peirce+abduction+deduction+induction&pg=PA226
Torretti, Philosophy of Physics (Cambridge U P, 1999), pp 226, 228–29. https://books.google.com/books?id=vg_wxiLRvvYC&dq=Peirce+abduction+deduction+induction&pg=PA226
Torretti, Philosophy of Physics (Cambridge U P, 1999), pp 226, 228–29. https://books.google.com/books?id=vg_wxiLRvvYC&dq=Peirce+abduction+deduction+induction&pg=PA226
Poston, "Foundationalism", §b "Theories of proper inference", §§iii "Liberal inductivism", in IEP: "Strict inductivism is motivated by the thought that we have some kind of inferential knowledge of the world that cannot be accommodated by deductive inference from epistemically basic beliefs. A fairly recent debate has arisen over the merits of strict inductivism. Some philosophers have argued that there are other forms of nondeductive inference that do not fit the model of enumerative induction. C S Peirce describes a form of inference called 'abduction' or 'inference to the best explanation'. This form of inference appeals to explanatory considerations to justify belief. One infers, for example, that two students copied answers from a third because this is the best explanation of the available data—they each make the same mistakes and the two sat in view of the third. Alternatively, in a more theoretical context, one infers that there are very small unobservable particles because this is the best explanation of Brownian motion. Let us call 'liberal inductivism' any view that accepts the legitimacy of a form of inference to the best explanation that is distinct from enumerative induction. For a defense of liberal inductivism, see Gilbert Harman's classic (1965) paper. Harman defends a strong version of liberal inductivism according to which enumerative induction is just a disguised form of inference to the best explanation". http://www.iep.utm.edu/found-ep
Psillos, Stathis (1996). "On Van Fraassen's Critique of Abductive Reasoning". The Philosophical Quarterly. 46 (182): 31–47. doi:10.2307/2956303. JSTOR 2956303. /wiki/Doi_(identifier)
Chhanda Chakraborti, Logic: Informal, Symbolic and Inductive (New Delhi: Prentice-Hall of India, 2007), p 381.Friedman, Reconsidering Logical Positivism (Cambridge U P, 1999), p xii. https://books.google.com/books?id=Y2u8C_ur8VIC&dq=uniformity+of+nature+problem+of+induction&pg=PA381
Chhanda Chakraborti, Logic: Informal, Symbolic and Inductive (New Delhi: Prentice-Hall of India, 2007), p 381.Friedman, Reconsidering Logical Positivism (Cambridge U P, 1999), p xii. https://books.google.com/books?id=Y2u8C_ur8VIC&dq=uniformity+of+nature+problem+of+induction&pg=PA381
Fetzer, "Carl Hempel", §3 "Scientific reasoning", in SEP: "The need to dismantle the verifiability criterion of meaningfulness together with the demise of the observational/theoretical distinction meant that logical positivism no longer represented a rationally defensible position. At least two of its defining tenets had been shown to be without merit. Since most philosophers believed that Quine had shown the analytic/synthetic distinction was also untenable, moreover, many concluded that the enterprise had been a total failure. Among the important benefits of Hempel's critique, however, was the production of more general and flexible criteria of cognitive significance in Hempel (1965b), included in a famous collection of his studies, Aspects of Scientific Explanation (1965d). There he proposed that cognitive significance could not be adequately captured by means of principles of verification or falsification, whose defects were parallel, but instead required a far more subtle and nuanced approach.
"Hempel suggested multiple criteria for assessing the cognitive significance of different theoretical systems, where significance is not categorical but rather a matter of degree: 'Significant systems range from those whose entire extralogical vocabulary consists of observation terms, through theories whose formulation relies heavily on theoretical constructs, on to systems with hardly any bearing on potential empirical findings' (Hempel 1965b: 117).
"The criteria Hempel offered for evaluating the 'degrees of significance' of theoretical systems (as conjunctions of hypotheses, definitions, and auxiliary claims) were (a) the clarity and precision with which they are formulated, including explicit connections to observational language; (b) the systematic—explanatory and predictive—power of such a system, in relation to observable phenomena; (c) the formal simplicity of the systems with which a certain degree of systematic power is attained; and (d) the extent to which those systems have been confirmed by experimental evidence (Hempel 1965b). The elegance of Hempel's study laid to rest any lingering aspirations for simple criteria of 'cognitive significance' and signaled the demise of logical positivism as a philosophical movement.
"Precisely what remained, however, was in doubt. Presumably, anyone who rejected one or more of the three principles defining positivism—the analytic/synthetic distinction, the observational/theoretical distinction, and the verifiability criterion of significance—was not a logical positivist. The precise outlines of its philosophical successor, which would be known as 'logical empiricism', were not entirely evident. Perhaps this study came the closest to defining its intellectual core. Those who accepted Hempel's four criteria and viewed cognitive significance as a matter of degree were members, at least in spirit. But some new problems were beginning to surface with respect to Hempel's covering-law explication of explanation, and old problems remained from his studies of induction, the most remarkable of which was known as 'the paradox of confirmation'". http://plato.stanford.edu/archives/spr2013/entries/hempel
Fetzer, "Carl Hempel", §3 "Scientific reasoning", in SEP: "The need to dismantle the verifiability criterion of meaningfulness together with the demise of the observational/theoretical distinction meant that logical positivism no longer represented a rationally defensible position. At least two of its defining tenets had been shown to be without merit. Since most philosophers believed that Quine had shown the analytic/synthetic distinction was also untenable, moreover, many concluded that the enterprise had been a total failure. Among the important benefits of Hempel's critique, however, was the production of more general and flexible criteria of cognitive significance in Hempel (1965b), included in a famous collection of his studies, Aspects of Scientific Explanation (1965d). There he proposed that cognitive significance could not be adequately captured by means of principles of verification or falsification, whose defects were parallel, but instead required a far more subtle and nuanced approach.
"Hempel suggested multiple criteria for assessing the cognitive significance of different theoretical systems, where significance is not categorical but rather a matter of degree: 'Significant systems range from those whose entire extralogical vocabulary consists of observation terms, through theories whose formulation relies heavily on theoretical constructs, on to systems with hardly any bearing on potential empirical findings' (Hempel 1965b: 117).
"The criteria Hempel offered for evaluating the 'degrees of significance' of theoretical systems (as conjunctions of hypotheses, definitions, and auxiliary claims) were (a) the clarity and precision with which they are formulated, including explicit connections to observational language; (b) the systematic—explanatory and predictive—power of such a system, in relation to observable phenomena; (c) the formal simplicity of the systems with which a certain degree of systematic power is attained; and (d) the extent to which those systems have been confirmed by experimental evidence (Hempel 1965b). The elegance of Hempel's study laid to rest any lingering aspirations for simple criteria of 'cognitive significance' and signaled the demise of logical positivism as a philosophical movement.
"Precisely what remained, however, was in doubt. Presumably, anyone who rejected one or more of the three principles defining positivism—the analytic/synthetic distinction, the observational/theoretical distinction, and the verifiability criterion of significance—was not a logical positivist. The precise outlines of its philosophical successor, which would be known as 'logical empiricism', were not entirely evident. Perhaps this study came the closest to defining its intellectual core. Those who accepted Hempel's four criteria and viewed cognitive significance as a matter of degree were members, at least in spirit. But some new problems were beginning to surface with respect to Hempel's covering-law explication of explanation, and old problems remained from his studies of induction, the most remarkable of which was known as 'the paradox of confirmation'". http://plato.stanford.edu/archives/spr2013/entries/hempel
Misak, Verificationism (Routledge, 1995), p viii. https://books.google.com/books?id=EObr91F6rJ8C&pg=PR8
Friedman, Reconsidering Logical Positivism (Cambridge U P, 1999), p 1. https://books.google.com/books?id=e9TjZc9wNUAC&dq=half+centry+bogeyman+faults+failings+dispassionate&pg=PA1
Chhanda Chakraborti, Logic: Informal, Symbolic and Inductive (New Delhi: Prentice-Hall of India, 2007), p 381.Friedman, Reconsidering Logical Positivism (Cambridge U P, 1999), p xii. https://books.google.com/books?id=Y2u8C_ur8VIC&dq=uniformity+of+nature+problem+of+induction&pg=PA381
Hacohen, Karl Popper: The Formative Years (Cambridge U P, 2000), pp 212–13. https://books.google.com/books?id=3VtHcYGp2pIC&dq=Habermas+broad+Popper+killed+logical+positivism&pg=PA212
Fetzer, "Carl Hempel", §3 "Scientific reasoning", in SEP: "The need to dismantle the verifiability criterion of meaningfulness together with the demise of the observational/theoretical distinction meant that logical positivism no longer represented a rationally defensible position. At least two of its defining tenets had been shown to be without merit. Since most philosophers believed that Quine had shown the analytic/synthetic distinction was also untenable, moreover, many concluded that the enterprise had been a total failure. Among the important benefits of Hempel's critique, however, was the production of more general and flexible criteria of cognitive significance in Hempel (1965b), included in a famous collection of his studies, Aspects of Scientific Explanation (1965d). There he proposed that cognitive significance could not be adequately captured by means of principles of verification or falsification, whose defects were parallel, but instead required a far more subtle and nuanced approach.
"Hempel suggested multiple criteria for assessing the cognitive significance of different theoretical systems, where significance is not categorical but rather a matter of degree: 'Significant systems range from those whose entire extralogical vocabulary consists of observation terms, through theories whose formulation relies heavily on theoretical constructs, on to systems with hardly any bearing on potential empirical findings' (Hempel 1965b: 117).
"The criteria Hempel offered for evaluating the 'degrees of significance' of theoretical systems (as conjunctions of hypotheses, definitions, and auxiliary claims) were (a) the clarity and precision with which they are formulated, including explicit connections to observational language; (b) the systematic—explanatory and predictive—power of such a system, in relation to observable phenomena; (c) the formal simplicity of the systems with which a certain degree of systematic power is attained; and (d) the extent to which those systems have been confirmed by experimental evidence (Hempel 1965b). The elegance of Hempel's study laid to rest any lingering aspirations for simple criteria of 'cognitive significance' and signaled the demise of logical positivism as a philosophical movement.
"Precisely what remained, however, was in doubt. Presumably, anyone who rejected one or more of the three principles defining positivism—the analytic/synthetic distinction, the observational/theoretical distinction, and the verifiability criterion of significance—was not a logical positivist. The precise outlines of its philosophical successor, which would be known as 'logical empiricism', were not entirely evident. Perhaps this study came the closest to defining its intellectual core. Those who accepted Hempel's four criteria and viewed cognitive significance as a matter of degree were members, at least in spirit. But some new problems were beginning to surface with respect to Hempel's covering-law explication of explanation, and old problems remained from his studies of induction, the most remarkable of which was known as 'the paradox of confirmation'". http://plato.stanford.edu/archives/spr2013/entries/hempel
Fetzer, "Carl Hempel", §2.3 "The verifiability criterion of cognitive significance", in SEP: "Hempel (1950, 1951), meanwhile, demonstrated that the verifiability criterion could not be sustained. Since it restricts empirical knowledge to observation sentences and their deductive consequences, scientific theories are reduced to logical constructions from observables. In a series of studies about cognitive significance and empirical testability, he demonstrated that the verifiability criterion implies that existential generalizations are meaningful, but that universal generalizations are not, even though they include general laws, the principal objects of scientific discovery. Hypotheses about relative frequencies in finite sequences are meaningful, but hypotheses concerning limits in infinite sequences are not. The verifiability criterion thus imposed a standard that was too strong to accommodate the characteristic claims of science and was not justifiable.
"Indeed, on the assumption that a sentence S is meaningful if and only if its negation is meaningful, Hempel demonstrated that the criterion produced consequences that were counterintuitive if not logically inconsistent. The sentence, 'At least one stork is red-legged', for example, is meaningful because it can be verified by observing one red-legged stork; yet its negation, 'It is not the case that even one stork is red-legged', cannot be shown to be true by observing any finite number of red-legged storks and is therefore not meaningful. Assertions about God or The Absolute were meaningless by this criterion, since they are not observation statements or deducible from them. They concern entities that are non-observable. That was a desirable result. But by the same standard, claims that were made by scientific laws and theories were also meaningless.
"Indeed, scientific theories affirming the existence of gravitational attractions and of electromagnetic fields were thus rendered comparable to beliefs about transcendent entities such as an omnipotent, omniscient, and omni-benevolent God, for example, because no finite sets of observation sentences are sufficient to deduce the existence of entities of those kinds. These considerations suggested that the logical relationship between scientific theories and empirical evidence cannot be exhausted by means of observation sentences and their deductive consequences alone, but needs to include observation sentences and their inductive consequences as well (Hempel 1958). More attention would now be devoted to the notions of testability and of confirmation and disconfirmation as forms of partial verification and partial falsification, where Hempel would recommend an alternative to the standard conception of scientific theories to overcome otherwise intractable problems with the observational/theoretical distinction". http://plato.stanford.edu/archives/spr2013/entries/hempel
Caldwell, Beyond Positivism (Routledge, 1994), p 47–48. https://books.google.com/books?id=hrqLZsCOg4sC&dq=assumption+implicit&pg=PA47
Poston, "Foundationalism", § intro, in IEP: "The Neurath–Schlick debate transformed into a discussion over nature and role of observation sentences within a theory. Quine (1951) extended this debate with his metaphor of the web of belief in which observation sentences are able to confirm or disconfirm a hypothesis only in connection with a larger theory. Sellars (1963) criticizes foundationalism as endorsing a flawed model of the cognitive significance of experience. Following the work of Quine and Sellars, a number of people arose to defend foundationalism (see section below on modest foundationalism). This touched off a burst of activity on foundationalism in the late 1970s to early 1980s. One of the significant developments from this period is the formulation and defense of reformed epistemology, a foundationalist view that took, as the foundations, beliefs such as there is a God (see Plantinga (1983)). While the debate over foundationalism has abated in recent decades, new work has picked up on neglected topics about the architecture of knowledge and justification". http://www.iep.utm.edu/found-ep
Novick, That Noble Dream (Cambridge U P, 1988), pp 526–27. https://books.google.com/books?id=mhiw__MLyVAC&dq=Kuhn's+logical+Unified&pg=PA526
Novick, That Noble Dream (Cambridge U P, 1988), pp 526–27. https://books.google.com/books?id=mhiw__MLyVAC&dq=Kuhn's+logical+Unified&pg=PA526
Lipton, Peter (29 June 2005). "The Medawar Lecture 2004 The truth about science". Philosophical Transactions of the Royal Society B: Biological Sciences. 360 (1458): 1259–1269. doi:10.1098/rstb.2005.1660. PMC 1569498. PMID 16147521. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1569498
Lipton, Peter (29 June 2005). "The Medawar Lecture 2004 The truth about science". Philosophical Transactions of the Royal Society B: Biological Sciences. 360 (1458): 1259–1269. doi:10.1098/rstb.2005.1660. PMC 1569498. PMID 16147521. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1569498
Lipton, Peter (29 June 2005). "The Medawar Lecture 2004 The truth about science". Philosophical Transactions of the Royal Society B: Biological Sciences. 360 (1458): 1259–1269. doi:10.1098/rstb.2005.1660. PMC 1569498. PMID 16147521. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1569498
Lipton, Peter (29 June 2005). "The Medawar Lecture 2004 The truth about science". Philosophical Transactions of the Royal Society B: Biological Sciences. 360 (1458): 1259–1269. doi:10.1098/rstb.2005.1660. PMC 1569498. PMID 16147521. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1569498
Lipton, Peter (29 June 2005). "The Medawar Lecture 2004 The truth about science". Philosophical Transactions of the Royal Society B: Biological Sciences. 360 (1458): 1259–1269. doi:10.1098/rstb.2005.1660. PMC 1569498. PMID 16147521. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1569498
Lipton, Peter (29 June 2005). "The Medawar Lecture 2004 The truth about science". Philosophical Transactions of the Royal Society B: Biological Sciences. 360 (1458): 1259–1269. doi:10.1098/rstb.2005.1660. PMC 1569498. PMID 16147521. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1569498
Friedman, Reconsidering Logical Positivism (Cambridge, 1999), p 2. https://books.google.com/books?id=e9TjZc9wNUAC&dq=clear+critics+agendas+foundationalism&pg=PA2
Uebel, "Vienna Circle", §3.3 "Reductionism and foundationalism: Two criticisms partly rebutted", in SEP: "But for a brief lapse around 1929/30, then, the post-Aufbau Carnap fully represents the position of Vienna Circle anti-foundationalism. In this he joined Neurath whose long-standing anti-foundationalism is evident from his famous simile likening scientists to sailors who have to repair their boat without ever being able to pull into dry dock (1932b). Their positions contrasted at least prima facie with that of Schlick (1934) who explicitly defended the idea of foundations in the Circle's protocol-sentence debate. Even Schlick conceded, however, that all scientific statements were fallible ones, so his position on foundationalism was by no means the traditional one. The point of his 'foundations' remained less than wholly clear and different interpretation of it have been put forward. ... While all in the Circle thus recognized as futile the attempt to restore certainty to scientific knowledge claims, not all members embraced positions that rejected foundationalism tout court. Clearly, however, attributing foundationalist ambitions to the Circle as a whole constitutes a total misunderstanding of its internal dynamics and historical development, if it does not bespeak wilfull ignorance. At most, a foundationalist faction around Schlick can be distinguished from the so-called left wing whose members pioneered anti-foundationalism with regard to both the empirical and formal sciences". http://plato.stanford.edu/archives/sum2012/entries/vienna-circle
Novick, That Noble Dream (Cambridge U P, 1988), p 546. https://books.google.com/books?id=mhiw__MLyVAC&dq=Carnap+Hempel+Nagel+social+sciences+natural+fact+value&pg=PA546
Novick, That Noble Dream (Cambridge U P, 1988), pp 526–27. https://books.google.com/books?id=mhiw__MLyVAC&dq=Kuhn's+logical+Unified&pg=PA526
Okasha, Philosophy of Science (Oxford U P, 2002), pp 91–93, esp pp 91–92: "In rebutting the charge that he had portrayed paradigm shifts as non-rational, Kuhn made the famous claim that there is 'no algorithm' for theory choice in science. What does this mean? An algorithm is a set of rules that allows us to compute the answer to a particular question. For example, an algorithm for multiplication is a set of rules that when applied to any two numbers tells us their product. (When you learn arithmetic in primary school, you in effect learn algorithms for addition, subtraction, multiplication, and division.) So an algorithm for theory choice is a set of rules that when applied to two competing theories would tell us which we should choose. Much positivist philosophy of science was in effect committed to the existence of such an algorithm. The positivists often wrote as if, given a set of data and two competing theories, the 'principles of scientific method' could be used to determine which theory was superior. This idea was implicit in their belief that although discovery was a matter of psychology, justification was a matter of logic. Kuhn's insistence that there is no algorithm for theory choice in science is almost certainly correct. Lots of philosophers and scientists have made plausible suggestions about what to look for in theories—simplicity, broadness of scope, close fit to the data, and so on. But these suggestions fall far short of providing a true algorithm, as Kuhn well knew. https://books.google.com/books?id=8y8IXMR9DU8C&dq=Kuhn+algorithm&pg=PA91
Okasha, Philosophy of Science (Oxford U P, 2002), pp 91–93, esp pp 91–92: "In rebutting the charge that he had portrayed paradigm shifts as non-rational, Kuhn made the famous claim that there is 'no algorithm' for theory choice in science. What does this mean? An algorithm is a set of rules that allows us to compute the answer to a particular question. For example, an algorithm for multiplication is a set of rules that when applied to any two numbers tells us their product. (When you learn arithmetic in primary school, you in effect learn algorithms for addition, subtraction, multiplication, and division.) So an algorithm for theory choice is a set of rules that when applied to two competing theories would tell us which we should choose. Much positivist philosophy of science was in effect committed to the existence of such an algorithm. The positivists often wrote as if, given a set of data and two competing theories, the 'principles of scientific method' could be used to determine which theory was superior. This idea was implicit in their belief that although discovery was a matter of psychology, justification was a matter of logic. Kuhn's insistence that there is no algorithm for theory choice in science is almost certainly correct. Lots of philosophers and scientists have made plausible suggestions about what to look for in theories—simplicity, broadness of scope, close fit to the data, and so on. But these suggestions fall far short of providing a true algorithm, as Kuhn well knew. https://books.google.com/books?id=8y8IXMR9DU8C&dq=Kuhn+algorithm&pg=PA91
Okasha, Philosophy of Science (Oxford U P, 2002), pp 91–93, esp pp 91–92: "In rebutting the charge that he had portrayed paradigm shifts as non-rational, Kuhn made the famous claim that there is 'no algorithm' for theory choice in science. What does this mean? An algorithm is a set of rules that allows us to compute the answer to a particular question. For example, an algorithm for multiplication is a set of rules that when applied to any two numbers tells us their product. (When you learn arithmetic in primary school, you in effect learn algorithms for addition, subtraction, multiplication, and division.) So an algorithm for theory choice is a set of rules that when applied to two competing theories would tell us which we should choose. Much positivist philosophy of science was in effect committed to the existence of such an algorithm. The positivists often wrote as if, given a set of data and two competing theories, the 'principles of scientific method' could be used to determine which theory was superior. This idea was implicit in their belief that although discovery was a matter of psychology, justification was a matter of logic. Kuhn's insistence that there is no algorithm for theory choice in science is almost certainly correct. Lots of philosophers and scientists have made plausible suggestions about what to look for in theories—simplicity, broadness of scope, close fit to the data, and so on. But these suggestions fall far short of providing a true algorithm, as Kuhn well knew. https://books.google.com/books?id=8y8IXMR9DU8C&dq=Kuhn+algorithm&pg=PA91
Chhanda Chakraborti, Logic: Informal, Symbolic and Inductive (New Delhi: Prentice-Hall of India, 2007), p 381.Friedman, Reconsidering Logical Positivism (Cambridge U P, 1999), p xii. https://books.google.com/books?id=Y2u8C_ur8VIC&dq=uniformity+of+nature+problem+of+induction&pg=PA381
Novick, That Noble Dream (Cambridge U P, 1988), pp 526–27. https://books.google.com/books?id=mhiw__MLyVAC&dq=Kuhn's+logical+Unified&pg=PA526
Hacohen, Karl Popper: The Formative Years (Cambridge U P, 2000), pp 212–13. https://books.google.com/books?id=3VtHcYGp2pIC&dq=Habermas+broad+Popper+killed+logical+positivism&pg=PA212
Karl Popper, ch 4, subch "Science: Conjectures and refutations", in Andrew Bailey, ed, First Philosophy: Fundamental Problems and Readings in Philosophy, 2nd edn (Peterborough Ontario: Broadview Press, 2011), pp 338–42. /wiki/Broadview_Press
Hacohen, Karl Popper: The Formative Years (Cambridge U P, 2000), pp 212–13. https://books.google.com/books?id=3VtHcYGp2pIC&dq=Habermas+broad+Popper+killed+logical+positivism&pg=PA212
Karl Popper, ch 4, subch "Science: Conjectures and refutations", in Andrew Bailey, ed, First Philosophy: Fundamental Problems and Readings in Philosophy, 2nd edn (Peterborough Ontario: Broadview Press, 2011), pp 338–42. /wiki/Broadview_Press
Miran Epstein, ch 2 "Introduction to philosophy of science", in Seale, ed, Researching Society and Culture (Sage, 2012). pp 18–19. https://books.google.com/books?id=uhBCvNlypL4C&dq=verificationists+verificationism+Popper+falsificationism+Duhem+instrumentalists&pg=PA18
Karl Popper, ch 4, subch "Science: Conjectures and refutations", in Andrew Bailey, ed, First Philosophy: Fundamental Problems and Readings in Philosophy, 2nd edn (Peterborough Ontario: Broadview Press, 2011), pp 338–42. /wiki/Broadview_Press
Karl Popper, ch 4, subch "Science: Conjectures and refutations", in Andrew Bailey, ed, First Philosophy: Fundamental Problems and Readings in Philosophy, 2nd edn (Peterborough Ontario: Broadview Press, 2011), pp 338–42. /wiki/Broadview_Press
Godfrey-Smith, Theory and Reality (U Chicago P, 2003), p 57–59. https://books.google.com/books?id=k23egtSWrb8C&pg=PA57
Karl Popper, ch 4, subch "Science: Conjectures and refutations", in Andrew Bailey, ed, First Philosophy: Fundamental Problems and Readings in Philosophy, 2nd edn (Peterborough Ontario: Broadview Press, 2011), pp 338–42. /wiki/Broadview_Press
Massimo Pigliucci, ch 1 "The demarcation problem", in Pigliucci & Boudry, eds, Philosophy of Pseudoscience (U Chicago P, 2013), pp 11–12: "Popper's analysis led him to a set of seven conclusions that summarize his take on demarcation (Popper 1957, sec 1):
Theory confirmation is too easy.
The only exception to statement 1 is when confirmation results from risky predictions made by a theory.
Better theories make more 'prohibitions' (i.e., predict things that should not be observed).
Irrefutability of a theory is a vice, not a virtue.
Testability is the same as falsifiability, and it comes in degrees.
Confirming evidence counts only when it is the result of a serious attempt at falsification (that is, it should not be noted, somewhat redundant to statement # A falsified theory can be rescued by employing ad hoc hypotheses, but this comes at the cost of a reduced scientific status for the theory in question".
https://books.google.com/books?id=Pc4OAAAAQBAJ&dq=Okasha+Popper+induction&pg=PA11
Oswald Hanfling, ch 5 "Logical positivism", in Shanker, ed, Philosophy of Science, Logic and Mathematics (Routledge, 1996), pp 193–94. https://books.google.com/books?id=jIzT7AT3ILIC&pg=PA193
Friedman, Reconsidering Logical Positivism (Cambridge U P, 1999), p 1. https://books.google.com/books?id=e9TjZc9wNUAC&dq=half+centry+bogeyman+faults+failings+dispassionate&pg=PA1
Okasha, Philosophy of Science (Oxford U P, 2002), pp 91–93, esp pp 91–92: "In rebutting the charge that he had portrayed paradigm shifts as non-rational, Kuhn made the famous claim that there is 'no algorithm' for theory choice in science. What does this mean? An algorithm is a set of rules that allows us to compute the answer to a particular question. For example, an algorithm for multiplication is a set of rules that when applied to any two numbers tells us their product. (When you learn arithmetic in primary school, you in effect learn algorithms for addition, subtraction, multiplication, and division.) So an algorithm for theory choice is a set of rules that when applied to two competing theories would tell us which we should choose. Much positivist philosophy of science was in effect committed to the existence of such an algorithm. The positivists often wrote as if, given a set of data and two competing theories, the 'principles of scientific method' could be used to determine which theory was superior. This idea was implicit in their belief that although discovery was a matter of psychology, justification was a matter of logic. Kuhn's insistence that there is no algorithm for theory choice in science is almost certainly correct. Lots of philosophers and scientists have made plausible suggestions about what to look for in theories—simplicity, broadness of scope, close fit to the data, and so on. But these suggestions fall far short of providing a true algorithm, as Kuhn well knew. https://books.google.com/books?id=8y8IXMR9DU8C&dq=Kuhn+algorithm&pg=PA91
Hacohen, Karl Popper: The Formative Years (Cambridge U P, 2000), pp 212–13. https://books.google.com/books?id=3VtHcYGp2pIC&dq=Habermas+broad+Popper+killed+logical+positivism&pg=PA212
Okasha, Philosophy of Science (Oxford U P, 2002), p 23, virtually admonishes Popper: "Most philosophers think it's obvious that science relies heavily on inductive reasoning, indeed so obvious that it hardly needs arguing for. But, remarkably, this was denied by philosopher Karl Popper, whom we met in the last chapter. Popper claimed that scientists only need to use deductive inferences. This would be nice if it were true, for deductive inferences are much safer than inductive ones, as we have seen.
"Popper's basic argument is this. Although it is not possible to prove that a scientific theory is true from a limited data sample, it is possible to prove that a theory is false. . . . So if a scientist is only interested in demonstrating that a given theory is false, she may be able to accomplish her goal without the use of inductive inferences."The weakness of Popper's argument is obvious. For scientists are not only interested in showing that certain theories are false. When a scientist collects experimental data, her aim might be to show that a particular theory—her arch-rival's theory, perhaps—is false. But much more likely, she is trying to convince people that her own theory is true. And in order to do that, she will have to resort to inductive reasoning of some sort. So Popper's attempt to show that science can get by without induction does not succeed".And yet immediately before this, pp 22–23, Okasha explains that when reporting scientists' work, news media ought to report it correctly as attainment of scientific evidence, not proof: "The central role of induction is science is sometimes obscured by the way we talk. For example, you might read a newspaper report that says that scientists have found 'experimental proof' that genetically modified maize is safe for humans. What this means is that the scientists have tested the maize on a large number of humans, and none of them have come to any harm [that the investigators recognized, measured, and reported]. But strictly speaking, this doesn't prove that maize is safe, in the same sense in which mathematicians can prove Pythagoras' theorem, say. For the inference from the maize didn't harm any of the people on whom it was tested to the maize will not harm anyone is inductive, not deductive. The newspaper report should really have said that scientists have found extremely good evidence that the maize is safe for humans. The word proof should strictly be used only when we are dealing with deductive inferences. In this strict sense of the word, scientific hypotheses can rarely, if ever be proved true by the data".
Likewise, Popper maintains that properly, nor do scientists try to mislead people to believe that whichever theory, law, or principle is proved either naturally real (ontic truth) or universally true (epistemic truth). https://books.google.com/books?id=8y8IXMR9DU8C&dq=induction+Popper&pg=PA22
Landini, Russell (Routledge, 2011), p 230. https://books.google.com/books?id=Simvmwn2m2gC&dq=Russell+principle+induction&pg=PA230
Russell, A History of Western Philosophy (Unwin/Schuster, 1945), pp 673–74: "Hume's skepticism rests entirely upon his rejection of the principle of induction. The principle of induction, as applied to causation, says that, if A has been found very often accompanied or followed by B, then it is probable that on the next occasion on which A is observed, it will be accompanied or followed by B. If the principle is to be adequate, a sufficient number of instances must make the probability not far short of certainty. If this principle, or any other from which it can be deduced, is true, then the casual inferences which Hume rejects are valid, not indeed as giving certainty, but as giving a sufficient probability for practical purposes. If this principle is not true, every attempt to arrive at general scientific laws from particular observations is fallacious, and Hume's skepticism is inescapable for an empiricist. The principle itself cannot, of course, without circularity, be inferred from observed uniformities, since it is required to justify any such inference. It must therefore be, or be deduced from, an independent principle not based on experience. To this extent, Hume has proved that pure empiricism is not a sufficient basis for science. But if this one principle is admitted, everything else can proceed in accordance with the theory that all our knowledge is based on experience. It must be granted that this is a serious departure from pure empiricism, and that those who are not empiricists may ask why, if one departure is allowed, others are forbidden. These, however, are not questions directly raised by Hume's arguments. What these arguments prove—and I do not think the proof can be controverted—is that the induction is an independent logical principle, incapable of being inferred either from experience or from other logical principles, and that without this principle, science is impossible". /wiki/A_History_of_Western_Philosophy
Gillies, in Rethinking Popper (Springer, 2009), pp 103–05. https://books.google.com/books?id=R3aywtFIKKsC&pg=PA103
Gillies, in Rethinking Popper (Springer, 2009), pp 103–05. https://books.google.com/books?id=R3aywtFIKKsC&pg=PA103
Gillies, in Rethinking Popper (Springer, 2009), pp 103–05. https://books.google.com/books?id=R3aywtFIKKsC&pg=PA103
Gillies, in Rethinking Popper (Springer, 2009), pp 103–05. https://books.google.com/books?id=R3aywtFIKKsC&pg=PA103
Gillies, in Rethinking Popper (Springer, 2009), pp 103–05. https://books.google.com/books?id=R3aywtFIKKsC&pg=PA103
Mattessich, Richard (1978). "The Controversy Around Inductive Logic". Instrumental Reasoning and Systems Methodology. pp. 141–196. doi:10.1007/978-94-010-9431-3_5. ISBN 978-90-277-1081-9. 978-90-277-1081-9
Okasha, Philosophy of Science (Oxford U P, 2002), p 23, virtually admonishes Popper: "Most philosophers think it's obvious that science relies heavily on inductive reasoning, indeed so obvious that it hardly needs arguing for. But, remarkably, this was denied by philosopher Karl Popper, whom we met in the last chapter. Popper claimed that scientists only need to use deductive inferences. This would be nice if it were true, for deductive inferences are much safer than inductive ones, as we have seen.
"Popper's basic argument is this. Although it is not possible to prove that a scientific theory is true from a limited data sample, it is possible to prove that a theory is false. . . . So if a scientist is only interested in demonstrating that a given theory is false, she may be able to accomplish her goal without the use of inductive inferences."The weakness of Popper's argument is obvious. For scientists are not only interested in showing that certain theories are false. When a scientist collects experimental data, her aim might be to show that a particular theory—her arch-rival's theory, perhaps—is false. But much more likely, she is trying to convince people that her own theory is true. And in order to do that, she will have to resort to inductive reasoning of some sort. So Popper's attempt to show that science can get by without induction does not succeed".And yet immediately before this, pp 22–23, Okasha explains that when reporting scientists' work, news media ought to report it correctly as attainment of scientific evidence, not proof: "The central role of induction is science is sometimes obscured by the way we talk. For example, you might read a newspaper report that says that scientists have found 'experimental proof' that genetically modified maize is safe for humans. What this means is that the scientists have tested the maize on a large number of humans, and none of them have come to any harm [that the investigators recognized, measured, and reported]. But strictly speaking, this doesn't prove that maize is safe, in the same sense in which mathematicians can prove Pythagoras' theorem, say. For the inference from the maize didn't harm any of the people on whom it was tested to the maize will not harm anyone is inductive, not deductive. The newspaper report should really have said that scientists have found extremely good evidence that the maize is safe for humans. The word proof should strictly be used only when we are dealing with deductive inferences. In this strict sense of the word, scientific hypotheses can rarely, if ever be proved true by the data".
Likewise, Popper maintains that properly, nor do scientists try to mislead people to believe that whichever theory, law, or principle is proved either naturally real (ontic truth) or universally true (epistemic truth). https://books.google.com/books?id=8y8IXMR9DU8C&dq=induction+Popper&pg=PA22
Mattessich, Richard (1978). "The Controversy Around Inductive Logic". Instrumental Reasoning and Systems Methodology. pp. 141–196. doi:10.1007/978-94-010-9431-3_5. ISBN 978-90-277-1081-9. 978-90-277-1081-9
Okasha, Philosophy of Science (Oxford U P, 2002), p 22, summarizes that geneticists "examined a large number of DS sufferers and found that each had an additional chromosome. They then reasoned inductively to the conclusion that all DS sufferers, including the ones they hadn't examined, have an additional chromosome. It is easy to see that this inference is inductive. The fact that the DS sufferers in the sample studied had 47 chromosomes doesn't prove that all DS suffers do. It is possible, though unlikely, that they sample was an unrepresentative one.
"This example is by no means isolated. In effect, scientists use inductive reasoning whenever they move from limited data to a more general conclusion, which they do all the time. Consider, for example, Newton's principle of universal gravitation, encountered in the last chapter, which says that every body in the universe exerts a gravitational attraction on every other body. Now obviously, Newton did not arrive at this principle by examining every single body in the whole universe—he couldn't possibly have. Rather, he saw that the principle held true for the planets and the Sun, and for objects of various sorts moving near the Earth's surface. From this data, he inferred that the principle held true for all bodies. Again, this inference was obviously an inductive one: the fact that Newton's principle holds true for some bodies doesn't guaranteed that it holds true for all bodies".
Some pages later, however, Okasha finds enumerative induction insufficient to explain phenomena, a task for which scientists employ IBE, guided by no clear rules, although parsimony, that is, simplicity, is a common heuristic despite no particular assurance that nature is "simple" [pp 29–32]. Okasha then notes the unresolved dispute among philosophers over whether enumerative induction is a consequence of IBE, a view that Okasha, omitting Popper from mention, introduces by noting, "The philosopher Gilbert Harman has argued that IBE is more fundamental" p 32. Yet other philosophers have asserted the converse—that IBE derives from enumerative induction, more fundamental—and, although inference could in principle work both ways, the dispute is unresolved [p 32]. https://books.google.com/books?id=8y8IXMR9DU8C&pg=PA22
Poston, "Foundationalism", §b "Theories of proper inference", §§iii "Liberal inductivism", in IEP: "Strict inductivism is motivated by the thought that we have some kind of inferential knowledge of the world that cannot be accommodated by deductive inference from epistemically basic beliefs. A fairly recent debate has arisen over the merits of strict inductivism. Some philosophers have argued that there are other forms of nondeductive inference that do not fit the model of enumerative induction. C S Peirce describes a form of inference called 'abduction' or 'inference to the best explanation'. This form of inference appeals to explanatory considerations to justify belief. One infers, for example, that two students copied answers from a third because this is the best explanation of the available data—they each make the same mistakes and the two sat in view of the third. Alternatively, in a more theoretical context, one infers that there are very small unobservable particles because this is the best explanation of Brownian motion. Let us call 'liberal inductivism' any view that accepts the legitimacy of a form of inference to the best explanation that is distinct from enumerative induction. For a defense of liberal inductivism, see Gilbert Harman's classic (1965) paper. Harman defends a strong version of liberal inductivism according to which enumerative induction is just a disguised form of inference to the best explanation". http://www.iep.utm.edu/found-ep
Psillos, Stathis (1996). "On Van Fraassen's Critique of Abductive Reasoning". The Philosophical Quarterly. 46 (182): 31–47. doi:10.2307/2956303. JSTOR 2956303. /wiki/Doi_(identifier)
Okasha, Philosophy of Science (Oxford U P, 2002), p 23, virtually admonishes Popper: "Most philosophers think it's obvious that science relies heavily on inductive reasoning, indeed so obvious that it hardly needs arguing for. But, remarkably, this was denied by philosopher Karl Popper, whom we met in the last chapter. Popper claimed that scientists only need to use deductive inferences. This would be nice if it were true, for deductive inferences are much safer than inductive ones, as we have seen.
"Popper's basic argument is this. Although it is not possible to prove that a scientific theory is true from a limited data sample, it is possible to prove that a theory is false. . . . So if a scientist is only interested in demonstrating that a given theory is false, she may be able to accomplish her goal without the use of inductive inferences."The weakness of Popper's argument is obvious. For scientists are not only interested in showing that certain theories are false. When a scientist collects experimental data, her aim might be to show that a particular theory—her arch-rival's theory, perhaps—is false. But much more likely, she is trying to convince people that her own theory is true. And in order to do that, she will have to resort to inductive reasoning of some sort. So Popper's attempt to show that science can get by without induction does not succeed".And yet immediately before this, pp 22–23, Okasha explains that when reporting scientists' work, news media ought to report it correctly as attainment of scientific evidence, not proof: "The central role of induction is science is sometimes obscured by the way we talk. For example, you might read a newspaper report that says that scientists have found 'experimental proof' that genetically modified maize is safe for humans. What this means is that the scientists have tested the maize on a large number of humans, and none of them have come to any harm [that the investigators recognized, measured, and reported]. But strictly speaking, this doesn't prove that maize is safe, in the same sense in which mathematicians can prove Pythagoras' theorem, say. For the inference from the maize didn't harm any of the people on whom it was tested to the maize will not harm anyone is inductive, not deductive. The newspaper report should really have said that scientists have found extremely good evidence that the maize is safe for humans. The word proof should strictly be used only when we are dealing with deductive inferences. In this strict sense of the word, scientific hypotheses can rarely, if ever be proved true by the data".
Likewise, Popper maintains that properly, nor do scientists try to mislead people to believe that whichever theory, law, or principle is proved either naturally real (ontic truth) or universally true (epistemic truth). https://books.google.com/books?id=8y8IXMR9DU8C&dq=induction+Popper&pg=PA22
Greenland, S (August 1998). "Induction versus Popper: substance versus semantics". International Journal of Epidemiology. 27 (4): 543–548. doi:10.1093/ije/27.4.543. PMID 9758105. /wiki/Doi_(identifier)
Gillies, in Rethinking Popper (Springer, 2009), p 111: "I argued earlier that there are some exceptions to Popper's claim that rules of inductive inference do not exist. However, these exceptions are relatively rare. They occur, for example, in the machine learning programs of AI. For the vast bulk of human science both past and present, rules of inductive inference do not exist. For such science, Popper's model of conjectures which are freely invented and then tested out seems to me more accurate than any model based on inductive inferences. Admittedly, there is talk nowadays in the context of science carried out by humans of 'inference to the best explanation' or 'abductive inference', but such so-called inferences are not at all inferences based on precisely formulated rules like the deductive rules of inference. Those who talk of 'inference to the best explanation' or 'abductive inference', for example, never formulate any precise rules according to which these so-called inferences take place. In reality, the 'inferences' which they describe in their examples involve conjectures thought up by human ingenuity and creativity, and by no means inferred in any mechanical fashion, or according to precisely specified rules". https://books.google.com/books?id=R3aywtFIKKsC&dq=exceptions&pg=PA111
Gauch, Scientific Method in Practice (Cambridge, 2003), p 159. https://books.google.com/books?id=iVkugqNG9dAC&dq=interesting+example&pg=PA159
Gillies, in Rethinking Popper (Springer, 2009), p 111: "I argued earlier that there are some exceptions to Popper's claim that rules of inductive inference do not exist. However, these exceptions are relatively rare. They occur, for example, in the machine learning programs of AI. For the vast bulk of human science both past and present, rules of inductive inference do not exist. For such science, Popper's model of conjectures which are freely invented and then tested out seems to me more accurate than any model based on inductive inferences. Admittedly, there is talk nowadays in the context of science carried out by humans of 'inference to the best explanation' or 'abductive inference', but such so-called inferences are not at all inferences based on precisely formulated rules like the deductive rules of inference. Those who talk of 'inference to the best explanation' or 'abductive inference', for example, never formulate any precise rules according to which these so-called inferences take place. In reality, the 'inferences' which they describe in their examples involve conjectures thought up by human ingenuity and creativity, and by no means inferred in any mechanical fashion, or according to precisely specified rules". https://books.google.com/books?id=R3aywtFIKKsC&dq=exceptions&pg=PA111
Okasha, Philosophy of Science (Oxford U P, 2002), p 22, summarizes that geneticists "examined a large number of DS sufferers and found that each had an additional chromosome. They then reasoned inductively to the conclusion that all DS sufferers, including the ones they hadn't examined, have an additional chromosome. It is easy to see that this inference is inductive. The fact that the DS sufferers in the sample studied had 47 chromosomes doesn't prove that all DS suffers do. It is possible, though unlikely, that they sample was an unrepresentative one.
"This example is by no means isolated. In effect, scientists use inductive reasoning whenever they move from limited data to a more general conclusion, which they do all the time. Consider, for example, Newton's principle of universal gravitation, encountered in the last chapter, which says that every body in the universe exerts a gravitational attraction on every other body. Now obviously, Newton did not arrive at this principle by examining every single body in the whole universe—he couldn't possibly have. Rather, he saw that the principle held true for the planets and the Sun, and for objects of various sorts moving near the Earth's surface. From this data, he inferred that the principle held true for all bodies. Again, this inference was obviously an inductive one: the fact that Newton's principle holds true for some bodies doesn't guaranteed that it holds true for all bodies".
Some pages later, however, Okasha finds enumerative induction insufficient to explain phenomena, a task for which scientists employ IBE, guided by no clear rules, although parsimony, that is, simplicity, is a common heuristic despite no particular assurance that nature is "simple" [pp 29–32]. Okasha then notes the unresolved dispute among philosophers over whether enumerative induction is a consequence of IBE, a view that Okasha, omitting Popper from mention, introduces by noting, "The philosopher Gilbert Harman has argued that IBE is more fundamental" p 32. Yet other philosophers have asserted the converse—that IBE derives from enumerative induction, more fundamental—and, although inference could in principle work both ways, the dispute is unresolved [p 32]. https://books.google.com/books?id=8y8IXMR9DU8C&pg=PA22
Gillies, in Rethinking Popper (Springer, 2009), p 111: "I argued earlier that there are some exceptions to Popper's claim that rules of inductive inference do not exist. However, these exceptions are relatively rare. They occur, for example, in the machine learning programs of AI. For the vast bulk of human science both past and present, rules of inductive inference do not exist. For such science, Popper's model of conjectures which are freely invented and then tested out seems to me more accurate than any model based on inductive inferences. Admittedly, there is talk nowadays in the context of science carried out by humans of 'inference to the best explanation' or 'abductive inference', but such so-called inferences are not at all inferences based on precisely formulated rules like the deductive rules of inference. Those who talk of 'inference to the best explanation' or 'abductive inference', for example, never formulate any precise rules according to which these so-called inferences take place. In reality, the 'inferences' which they describe in their examples involve conjectures thought up by human ingenuity and creativity, and by no means inferred in any mechanical fashion, or according to precisely specified rules". https://books.google.com/books?id=R3aywtFIKKsC&dq=exceptions&pg=PA111
Godfrey-Smith, Theory and Reality (U Chicago P, 2003), p 57–59. https://books.google.com/books?id=k23egtSWrb8C&pg=PA57
Gauntlett, Creative Explorations (Routledge, 2007), pp 44–46. https://books.google.com/books?id=ZGn8-SO70KUC&dq=Okasha+Popper&pg=PA44
Although unfalsifiable was Popper's criterion of simply the unscientific—which adds supposedly empirical evidence of truth in order to become pseudoscientific—it has been commonly misrepresented that unfalsifiable itself was Popper's criterion of pseudoscientific. As example of such misstatement, see Massimo Pigliucci, ch 1 "The demarcation problem", in Pigliucci & Boudry, eds, Philosophy of Pseudoscience (U Chicago P, 2013), pp 9–10. https://books.google.com/books?id=Pc4OAAAAQBAJ&dq=Okasha+Popper+induction&pg=PA9
Godfrey-Smith, Theory and Reality (U Chicago P, 2003), p 57–59. https://books.google.com/books?id=k23egtSWrb8C&pg=PA57
Blaug, Methodology of Economics, 2nd edn (Cambridge U P, 1992), ch 3 "The verificationists, a largely nineteenth-century story", p 51. https://books.google.com/books?id=T4y7HyduGnIC&dq=verificationists&pg=PA51
Stahl et al, Webs of Reality (Rutgers U P, 2002), p 180. https://books.google.com/books?id=GY6i84rSKMcC&dq=logical+positivism+scientism&pg=PA180
See Gauch, Scientific Method in Practice (Cambridge U P, 2003), p 81, as an example. https://books.google.com/books?id=iVkugqNG9dAC&dq=Bacon+Elusive+logical+empiricists&pg=PA81
Friedman, Reconsidering Logical Positivism (Cambridge, 1999), p 2. https://books.google.com/books?id=e9TjZc9wNUAC&dq=clear+critics+agendas+foundationalism&pg=PA2
Uebel, "Vienna Circle", §3.3 "Reductionism and foundationalism: Two criticisms partly rebutted", in SEP: "But for a brief lapse around 1929/30, then, the post-Aufbau Carnap fully represents the position of Vienna Circle anti-foundationalism. In this he joined Neurath whose long-standing anti-foundationalism is evident from his famous simile likening scientists to sailors who have to repair their boat without ever being able to pull into dry dock (1932b). Their positions contrasted at least prima facie with that of Schlick (1934) who explicitly defended the idea of foundations in the Circle's protocol-sentence debate. Even Schlick conceded, however, that all scientific statements were fallible ones, so his position on foundationalism was by no means the traditional one. The point of his 'foundations' remained less than wholly clear and different interpretation of it have been put forward. ... While all in the Circle thus recognized as futile the attempt to restore certainty to scientific knowledge claims, not all members embraced positions that rejected foundationalism tout court. Clearly, however, attributing foundationalist ambitions to the Circle as a whole constitutes a total misunderstanding of its internal dynamics and historical development, if it does not bespeak wilfull ignorance. At most, a foundationalist faction around Schlick can be distinguished from the so-called left wing whose members pioneered anti-foundationalism with regard to both the empirical and formal sciences". http://plato.stanford.edu/archives/sum2012/entries/vienna-circle
Friedman, Reconsidering Logical Positivism (Cambridge U P, 1999), pp 2–5. https://books.google.com/books?id=e9TjZc9wNUAC&dq=justify+empirical+special+secure+foundation+data+sense&pg=PA2
Friedman, Reconsidering Logical Positivism (Cambridge U P, 1999), pp 2–5. https://books.google.com/books?id=e9TjZc9wNUAC&dq=justify+empirical+special+secure+foundation+data+sense&pg=PA2
Friedman, Reconsidering Logical Positivism (Cambridge U P, 1999), pp 2–5. https://books.google.com/books?id=e9TjZc9wNUAC&dq=justify+empirical+special+secure+foundation+data+sense&pg=PA2
Friedman, Reconsidering Logical Positivism (Cambridge U P, 1999), pp 2–5. https://books.google.com/books?id=e9TjZc9wNUAC&dq=justify+empirical+special+secure+foundation+data+sense&pg=PA2
Bem & de Jong, Theoretical Issues in Psychology (SAGE, 2006), pp 45–47. https://books.google.com/books?id=DgDGJi2F2vsC&dq=deductive-nomological+boundary+conditions+bridge+laws&pg=PA45
Murzi, "Rudolf Carnap", IEP. http://www.iep.utm.edu/carnap
Uebel, "Vienna Circle", §3.3 "Reductionism and foundationalism: Two criticisms partly rebutted", in SEP: "But for a brief lapse around 1929/30, then, the post-Aufbau Carnap fully represents the position of Vienna Circle anti-foundationalism. In this he joined Neurath whose long-standing anti-foundationalism is evident from his famous simile likening scientists to sailors who have to repair their boat without ever being able to pull into dry dock (1932b). Their positions contrasted at least prima facie with that of Schlick (1934) who explicitly defended the idea of foundations in the Circle's protocol-sentence debate. Even Schlick conceded, however, that all scientific statements were fallible ones, so his position on foundationalism was by no means the traditional one. The point of his 'foundations' remained less than wholly clear and different interpretation of it have been put forward. ... While all in the Circle thus recognized as futile the attempt to restore certainty to scientific knowledge claims, not all members embraced positions that rejected foundationalism tout court. Clearly, however, attributing foundationalist ambitions to the Circle as a whole constitutes a total misunderstanding of its internal dynamics and historical development, if it does not bespeak wilfull ignorance. At most, a foundationalist faction around Schlick can be distinguished from the so-called left wing whose members pioneered anti-foundationalism with regard to both the empirical and formal sciences". http://plato.stanford.edu/archives/sum2012/entries/vienna-circle
Poston, "Foundationalism", § intro, in IEP: "The debate over foundationalism was reinvigorated in the early part of the twentieth century by the debate over the nature of the scientific method. Otto Neurath (1959; original 1932) argued for a view of scientific knowledge illuminated by the raft metaphor according to which there is no privileged set of statements that serve as the ultimate foundation; rather knowledge arises out of a coherence among the set of statements we accept. In opposition to this raft metaphor, Moritz Schlick (1959; original 1932) argued for a view of scientific knowledge akin to the pyramid image in which knowledge rests on a special class of statements whose verification doesn't depend on other beliefs". http://www.iep.utm.edu/found-ep
Torretti, Philosophy of Physics (Cambridge U P, 1999), p 221: "Twentieth-century positivists would maintain, of course, that the rules of inductive logic are not meant to preside over the process of discovery, but to control the validity of its findings". https://books.google.com/books?id=vg_wxiLRvvYC&dq=discovery&pg=PA221
Hacohen, Karl Popper: The Formative Years (Cambridge U P, 2000), pp 212–13. https://books.google.com/books?id=3VtHcYGp2pIC&dq=Habermas+broad+Popper+killed+logical+positivism&pg=PA212
Oberheim, Feyerabend's Philosophy (Walter de Gruyter, 2006), pp 80–82. https://books.google.com/books?id=wfGXOXNrC6QC&dq=Feyerabend+inductivism&pg=PA80
Oberheim, Feyerabend's Philosophy (Walter de Gruyter, 2006), pp 80–82. https://books.google.com/books?id=wfGXOXNrC6QC&dq=Feyerabend+inductivism&pg=PA80
Oberheim, Feyerabend's Philosophy (Walter de Gruyter, 2006), pp 80–82. https://books.google.com/books?id=wfGXOXNrC6QC&dq=Feyerabend+inductivism&pg=PA80
Oberheim, Feyerabend's Philosophy (Walter de Gruyter, 2006), pp 80–82. https://books.google.com/books?id=wfGXOXNrC6QC&dq=Feyerabend+inductivism&pg=PA80
Oberheim, Feyerabend's Philosophy (Walter de Gruyter, 2006), pp 80–82. https://books.google.com/books?id=wfGXOXNrC6QC&dq=Feyerabend+inductivism&pg=PA80
Broad, William J. (2 November 1979). "Paul Feyerabend: Science and the Anarchist: Progress only occurs, he argues, because scientists break every methodological rule and adopt the motto "anything goes"". Science. 206 (4418): 534–537. doi:10.1126/science.386510. PMID 386510. /wiki/Doi_(identifier)
Against Method (1975/1988/1993)Science in a Free Society (1978)Farewell to Reason (1987). /wiki/Against_Method
Larvor, Lakatos (Routledge, 1998), p 49. https://books.google.com/books?id=y5vruQgxeyYC&dq=inductivism&pg=PA49
Nola & Sankey, Popper, Kuhn and Feyerabend (Kluwer, 2000), p xi. https://books.google.com/books?id=7Mb0NR45ufsC&dq=inductivism+Feyerabend+Kuhn+Popper+Bayesianism+today's+heir&pg=PR11