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Denis McManus presents a novel account of Martin Heidegger's early vision of our subjectivity and the world we inhabit. He explores key elements of Heidegger's philosophy, and argues that Heidegger's central claims identify genuine demands that must be met if we are to achieve the feat of thinking determinate thoughts about the world around us.
Denis McManus presents a new interpretation of Martin Heidegger's early vision of our subjectivity and of the world we inhabit. Heidegger's 'fundamental ontology' allows us to understand the creature that thinks as also one which acts, moves, even touches the world around it, a creature at home in the same ordinary world in which we too live our lives when outside of the philosophical closet; it also promises to free us from seemingly intractable philosophical problems, such as scepticism about the external world and other minds. But many of the concepts central to that vision are elusive; and some of the most widely accepted interpretations of Heidegger's vision harbour within themselves deep and important unclarities, while others foist upon us hopeless species of idealism. Heidegger and the Measure of Truth offers a new way of understanding that vision. Drawing on an examination of Heidegger's work throughout the 1920s, McManus takes as central to that vision the proposals that propositional thought presupposes a mastery of what might be called a 'measure', and that mastery of such a 'measure' requires a recognizably 'worldly' subject. These insights provide the basis for a novel reading of key elements of Heidegger's 'fundamental ontology', including his concept of 'Being-in-the-world', his critique of scepticism, his claim to disavow both realism and idealism, and his difficult reflections on the nature of truth, science, authenticity and philosophy itself. According to this interpretation, Heidegger's central claims identify genuine demands that we must meet if we are to achieve the feat of thinking determinate thoughts about the world around us.
It is tempting to think that, if a person's beliefs are coherent, they are also likely to be true. Indeed, this truth-conduciveness claim is the cornerstone of the popular coherence theory of knowledge and justification. Hitherto much confusion has been caused by the inability of coherence theorists to define their central concept. Nor have they succeeded in specifying in unambiguous terms what the notion of truth-conduciveness involves. This book is the most extensive and detailedstudy of coherence and probable truth to date.Erik Olsson argues that the value of coherence has been generally overestimated; it is severely problematic to maintain that coherence has a role to play in the process whereby beliefs are acquired or justified. He proposes that the opposite of coherence, i.e. incoherence, can still be the driving force in the process whereby beliefs are retracted, so that the role of coherence in our enquiries is negative rather than positive. Another innovative feature of Olsson's book is its unified,interdisciplinary approach to the issues at hand. The arguments are equally valid for coherence among any items of information, regardless of their sources (beliefs, memories, testimonies, and so on). Writing in accessible, non-technical language, Olsson takes the reader through much of the history of thesubject, from early theorists like A. C. Ewing and C. I. Lewis to contemporary figures like Laurence BonJour and C. A. J. Coady. Against Coherence will make stimulating reading for epistemologists and anyone with a serious interest in truth.
Tracking Truth presents a unified treatment of knowledge, evidence, and epistemological realism and anti-realism about scientific theories. A wide range of knowledge-related phenomena, especially but not only in science, strongly favour the idea of tracking as the key to what makes something knowledge. A subject who tracks the truth - an idea first formulated by Robert Nozick - has the ability to follow the truth through time and changing circumstances. Epistemologistsrightly concluded that Nozick's theory was not viable, but a simple revision of that view is not only viable but superior to other current views. In this new tracking account of knowledge, in contrast to the old view, knowledge has the property of closure under known implication, and troublesome counterfactualsare replaced with well-defined conditional probability statements. Of particular interest are the new view's treatment of skepticism, reflective knowledge, lottery propositions, knowledge of logical truth, and the question why knowledge is power in the Baconian sense.Ideally, evidence indicates a hypothesis and discriminates it from other possible hypotheses. This is the idea behind a tracking view of evidence, and Sherrilyn Roush provides a defence of a confirmation theory based on the Likelihood Ratio. The accounts of knowledge and evidence she offers provide a deep and seamless explanation of why having better evidence makes one more likely to have knowledge. Roush approaches the question of epistemological realism about scientific theories through thequestion what is required for evidence, and rejects both traditional realist and traditional anti-realist positions in favour of a new position which evaluates realist claims in a piecemeal fashion according to a general standard of evidence. The results show that while anti-realists were immodest indeclaring a priori what science could not do, realists were excessively sanguine about how far our actual evidence has so far taken us.
Quantitative thinking is our inclination to view natural and everyday phenomena through a lens of measurable events, with forecasts, odds, predictions, and likelihood playing a dominant part. The Error of Truth recounts the astonishing and unexpected tale of how quantitative thinking came to be, and its rise to primacy in the nineteenth and early twentieth centuries. Additionally, it considers how seeing the world through a quantitative lens has shaped our perception of the world we live in, and explores the lives of the individuals behind its early establishment. This worldview was unlike anything humankind had before, and it came about because of a momentous human achievement: we had learned how to measure uncertainty. Probability as a science was conceptualised. As a result of probability theory, we now had correlations, reliable predictions, regressions, the bellshaped curve for studying social phenomena, and the psychometrics of educational testing. Significantly, these developments happened during a relatively short period in world history— roughly, the 130-year period from 1790 to 1920, from about the close of the Napoleonic era, through the Enlightenment and the Industrial Revolutions, to the end of World War I. At which time, transportation had advanced rapidly, due to the invention of the steam engine, and literacy rates had increased exponentially. This brief period in time was ready for fresh intellectual activity, and it gave a kind of impetus for the probability inventions. Quantification is now everywhere in our daily lives, such as in the ubiquitous microchip in smartphones, cars, and appliances; in the Bayesian logic of artificial intelligence, as well as applications in business, engineering, medicine, economics, and elsewhere. Probability is the foundation of quantitative thinking. The Error of Truth tells its story— when, why, and how it happened.
Henshaw examines the ways in which measurement makes sense or creates nonsense.
In the Logic of Being: Realism, Truth, and Time, the influential philosopher Paul M. Livingston explores and illuminates truth, time, and their relationship by employing methods from both Continental and analytic philosophy.
Jack Sperry is a loyal citizen of Veritas, the City of Truth, until tragedy strikes his life, and he must hide from truth in order to save his son's life.
The modern discussion on the concept of truthlikeness was started in 1960. In his influential Word and Object, W. V. O. Quine argued that Charles Peirce's definition of truth as the limit of inquiry is faulty for the reason that the notion 'nearer than' is only "defined for numbers and not for theories". In his contribution to the 1960 International Congress for Logic, Methodology, and Philosophy of Science at Stan ford, Karl Popper defended the opposite view by defining a compara tive notion of verisimilitude for theories. was originally introduced by the The concept of verisimilitude Ancient sceptics to moderate their radical thesis of the inaccessibility of truth. But soon verisimilitudo, indicating likeness to the truth, was confused with probabilitas, which expresses an opiniotative attitude weaker than full certainty. The idea of truthlikeness fell in disrepute also as a result of the careless, often confused and metaphysically loaded way in which many philosophers used - and still use - such concepts as 'degree of truth', 'approximate truth', 'partial truth', and 'approach to the truth'. Popper's great achievement was his insight that the criticism against truthlikeness - by those who urge that it is meaningless to speak about 'closeness to truth' - is more based on prejudice than argument.
This book bridges a gap between discussions about truth, human understanding, and epistemology in philosophical circles, and debates about objectivity, bias, and truth in journalism. It examines four major philosophical theories in easy to understand terms while maintaining a critical insight which is fundamental to the contemporary study of journalism. The book aims to move forward the discussion of truth in the news media by dissecting commonly used concepts such as bias, objectivity, balance, fairness, in a philosophically-grounded way, drawing on in depth interviews with journalists to explore how journalists talk about truth.