Online research in philosophy

Entertaining diverse assumptions about empirical research, commentators give a wide range of verdicts on the NHSTP defence in Statistical significance. The null-hypothesis significance-test procedure (NHSTP) is defended in a framework in which deductive and inductive rules are deployed in theory corroboration in the spirit of Popper's Conjectures and refutations (1968b). The defensible hypothetico-deductive structure of the framework is used to make explicit the distinctions between (1) substantive and statistical hypotheses, (2) statistical alternative and conceptual alternative hypotheses, and (3) making statistical decisions and drawing theoretical conclusions. These distinctions make it easier to show that (1) H0 can be true, (2) the effect size is irrelevant to theory corroboration, and (3) “strong” hypotheses make no difference to NHSTP. Reservations about statistical power, meta-analysis, and the Bayesian approach are still warranted.

How are we to understand the use of probability in corroboration functions? Popper says logically, but does not show we could have access to, or even calculate, probability values in a logical sense. This makes the logical interpretation untenable, as Ramsey and van Fraassen have argued.

If corroboration functions only make sense when the probabilities employed therein are subjective, however, then what counts as impressive evidence for a theory might be a matter of convention, or even whim. So isn’t so-called ‘corroboration’ just a matter of psychology?

In this paper, I argue that we can go some way towards addressing this objection by adopting an intersubjective interpretation, of the form advocated by Gillies, with respect to corroboration. I show why intersubjective probabilities are preferable to subjective ones when it comes to decision making in science: why group decisions are liable to be superior to individual ones, given a number of plausible conditions. I then argue that intersubjective corroboration is preferable to intersubjective confirmation of a Bayesian variety, because there is greater opportunity for principled agreement concerning the factors involved in the former.

The main factor of intelligence is defined as the ability tocomprehend, formalising this ability with the help of new constructsbased on descriptional complexity. The result is a comprehension test,or C-test, which is exclusively defined in computational terms. Due toits absolute and non-anthropomorphic character, it is equally applicableto both humans and non-humans. Moreover, it correlates with classicalpsychometric tests, thus establishing the first firm connection betweeninformation theoretical notions and traditional IQ tests. The TuringTest is compared with the C-test and the combination of the two isquestioned. In consequence, the idea of using the Turing Test as apractical test of intelligence should be surpassed, and substituted bycomputational and factorial tests of different cognitive abilities, amuch more useful approach for artificial intelligence progress and formany other intriguing questions that present themselves beyond theTuring Test.

This paper argues that clinicians are sometimes justified in not testing diagnoses or in not subjecting them to a full battery of tests. In deciding whether to conduct a test, a clinician may consider and weigh several different factors, including her confidence in her initial diagnosis, the specificity and sensitivity of the test, the consequences of making a false diagnosis, the pain, harm, and inconvenience caused by the test, and the costs of the test to the patient and society. This view suggests that diagnoses are fundamentally different from scientific hypotheses in that they are not always subjected to the same evidential standards.

Popper’s Critical Rationalism presents Popper’s views on science, knowledge, and inquiry, and examines the significance and tenability of these in light of recent developments in philosophy of science, philosophy of probability, and epistemology. It develops a fresh and novel philosophical position on science, which employs key insights from Popper while rejecting other elements of his philosophy.

Central theses include:

Crucial questions about scientific method arise at the level of the group, rather than that of the individual.

Although criticism is vital for science, dogmatism is important too.

Belief in scientific theories is permissible even in the absence of evidence in their favour.

The aim of science is to eliminate false theories.

Critical rationalism can be understood as a form of virtue epistemology

Contents:

Ch.1 Comprehensive rationalism, critical rationalism, and pancritical rationalism -- Ch.2 Induction and corroboration -- Ch.3 Corroboration and the interpretation of probability -- Ch.4 Corroboration, tests, and predictivism -- Ch.5 Corroboration and Duhem's thesis -- Ch.6 The roles of criticism and dogmatism in science: a group level view -- Ch.7 The aim of science and its evolution -- Ch.8 Thoughts and findings.

Chow's one-tailed null-hypothesis significance-test procedure, with its rationale based on the elimination of chance influences, is not appropriate for theory-corroboration experiments. Estimated effect sizes and their associated standard errors or confidence limits will always suffice.

We examine three critical aspects of Popper’s formulation of the ‘ Logic of Scientific Discovery ’—evidence, content and degree of corroboration—and place these concepts in the context of the Tree of Life (ToL) problem with particular reference to molecular systematics. Content, in the sense discussed by Popper, refers to the breadth and scope of existence that a hypothesis purports to explain. Content, in conjunction with the amount of available and relevant evidence, determines the testability, or potential degree of corroboration, of a statement; content distinguishes scientific hypotheses from metaphysical assertions. Degree of corroboration refers to the relative and tentative confidence assigned to one hypothesis over another, based upon the performance of each under critical tests. Here we suggest that systematists attempt to maximize content and evidence to increase the potential degree of corroboration in all phylogenetic endeavors. Discussion of this “total evidence” approach leads to several interesting conclusions about generating ToL hypotheses.

This paper shows that Popper’s measure of corroboration is inapplicable if, as Popper also argued, the logical probability of synthetic universal statements is zero relative to any evidence that we might possess. It goes on to show that Popper’s definition of degree of testability, in terms of degree of logical content, suffers from a similar problem.

This paper argues that Duhem’s thesis does not decisively refute a corroboration-based account of scientific methodology (or ‘falsificationism’), but instead that auxiliary hypotheses are themselves subject to measurements of corroboration which can be used to inform practice. It argues that a corroboration-based account is equal to the popular Bayesian alternative, which has received much more recent attention, in this respect.

By the early 80s, kids were already trawling the message boards of the Internet for perverse kicks. Well before Star Ways Kid or "flash mobs," one of the first online fads was the "Purity Test," a series of questions to rate your moral purity, from the raunchy ("Ever had sex in your parents' bedroom?") to the absurd ("Ever snorted cocaine off the dashboard of a car doing 80 mph?").The tests would be printed out, brought to school, and pored over with friends in the back of the gym during recess. Then kids would modify the original with their own prurient additions before sending it along. Eventually, the tests became bloated thousand-question Franken-tests that took hours to complete.Doing the test with friends was like playing an endless, filthy, wildly enlightening game of "Did You Ever?"--and because it was a standardized test, you could compare your scores. Assuming everyone was being honest--which they weren't. The Purity Test will offer both a humorous history and analysis of the Purity Test as well as several versions of the test to take at home.