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As an engineer and student of science I try to keep up with publications of the latest discoveries and paradigm shifts in science around the world. I believe that there are several big problems with science today. First is that much science is biased which might be because some scientists want to keep their point of view prominent and the others because many focuses of science are supported by biased funding. This will be discussed in this book. The other issue is that many scientists limit their thinking to only support age old paradigms and refuse to accept changes to their theories or throw out evidence because it doesn't conform their current beliefs. In this book we will cover many issues such as the belief among many cosmologists that the Big Bang never happened. We will also look at ideas we thought settled but which have lots of contrary evidence and anecdotal counter stories such as time travel and dimensional crossings. After you read this book you may question much of what is commonly accepted by scientists in the world today.
As an engineer and student of science I try to keep up with publications of the latest discoveries and paradigm shifts in science around the world. I believe that there are several big problems with science today. First is that much science is biased which might be because some scientists want to keep their point of view prominent and the others because many focuses of science are supported by biased funding. This will be discussed in this book. The other issue is that many scientists limit their thinking to only support age old paradigms and refuse to accept changes to their theories or throw out evidence because it doesn’t conform their current beliefs. In this book we will cover many issues such as the belief among many cosmologists that the Big Bang never happened. We will also look at ideas we thought settled but which have lots of contrary evidence and anecdotal counter stories such as time travel and dimensional crossings. After you read this book you may question much of what is commonly accepted by scientists in the world today.
Classification is the essential first step in science. The study of science, as well as the practice of science, will thus benefit from a detailed classification of different types of science. In this book, science - defined broadly to include the social sciences and humanities - is first unpacked into its constituent elements: the phenomena studied, the data used, the theories employed, the methods applied, and the practices of scientists. These five elements are then classified in turn. Notably, the classifications of both theory types and methods allow the key strengths and weaknesses of different theories and methods to be readily discerned and compared. Connections across classifications are explored: should certain theories or phenomena be investigated only with certain methods? What is the proper function and form of scientific paradigms? Are certain common errors and biases in scientific practice associated with particular phenomena, data, theories, or methods? The classifications point to several ways of improving both specialized and interdisciplinary research and teaching, and especially of enhancing communication across communities of scholars. The classifications also support a superior system of document classification that would allow searches by theory and method used as well as causal links investigated.
Physics World's 'Book of the Year' for 2016 An Entertaining and Enlightening Guide to the Who, What, and Why of String Theory, now also available in an updated reflowable electronic format compatible with mobile devices and e-readers. During the last 50 years, numerous physicists have tried to unravel the secrets of string theory. Yet why do these scientists work on a theory lacking experimental confirmation? Why String Theory? provides the answer, offering a highly readable and accessible panorama of the who, what, and why of this large aspect of modern theoretical physics. The author, a theoretical physics professor at the University of Oxford and a leading string theorist, explains what string theory is and where it originated. He describes how string theory fits into physics and why so many physicists and mathematicians find it appealing when working on topics from M-theory to monsters and from cosmology to superconductors.
At what point does theory depart the realm of testable hypothesis and come to resemble something like aesthetic speculation, or even theology? The legendary physicist Wolfgang Pauli had a phrase for such ideas: He would describe them as "not even wrong," meaning that they were so incomplete that they could not even be used to make predictions to compare with observations to see whether they were wrong or not. In Peter Woit's view, superstring theory is just such an idea. In Not Even Wrong , he shows that what many physicists call superstring "theory" is not a theory at all. It makes no predictions, even wrong ones, and this very lack of falsifiability is what has allowed the subject to survive and flourish. Not Even Wrong explains why the mathematical conditions for progress in physics are entirely absent from superstring theory today and shows that judgments about scientific statements, which should be based on the logical consistency of argument and experimental evidence, are instead based on the eminence of those claiming to know the truth. In the face of many books from enthusiasts for string theory, this book presents the other side of the story.
Mounting failures of replication in social and biological sciences give a new urgency to critically appraising proposed reforms. This book pulls back the cover on disagreements between experts charged with restoring integrity to science. It denies two pervasive views of the role of probability in inference: to assign degrees of belief, and to control error rates in a long run. If statistical consumers are unaware of assumptions behind rival evidence reforms, they can't scrutinize the consequences that affect them (in personalized medicine, psychology, etc.). The book sets sail with a simple tool: if little has been done to rule out flaws in inferring a claim, then it has not passed a severe test. Many methods advocated by data experts do not stand up to severe scrutiny and are in tension with successful strategies for blocking or accounting for cherry picking and selective reporting. Through a series of excursions and exhibits, the philosophy and history of inductive inference come alive. Philosophical tools are put to work to solve problems about science and pseudoscience, induction and falsification.
In Measuring and Reasoning, Fred L. Bookstein examines the way ordinary arithmetic and numerical patterns are translated into scientific understanding, showing how the process relies on two carefully managed forms of argument: • Abduction: the generation of new hypotheses to accord with findings that were surprising on previous hypotheses, and • Consilience: the confirmation of numerical pattern claims by analogous findings at other levels of measurement. These profound principles include an understanding of the role of arithmetic and, more importantly, of how numerical patterns found in one study can relate to numbers found in others. More than 200 figures and diagrams illuminate the text. The book can be read with profit by any student of the empirical nature or social sciences and by anyone concerned with how scientists persuade those of us who are not scientists why we should credit the most important claims about scientific facts or theories.
Provides a spirited defence of anti-realism in philosophy of science. Shows the historical evidence and logical challenges facing scientific realism.