How Scientific Progress Occurs

Introduction -- Scientific revolutions: paradigm shifts, incrementalism, or both? -- The cell : from empty boxes to coordinated organelles -- The theory of the gene : from abstract point to nucleotide sequence -- Mutation : from fluctuating variations to base alterations -- The life cycle : from spontaneous origin to simple and complex stages -- The molecular basis of life : from vitalism to organic molecules to macromolecules -- Sex determination : from wild guesses to reproductive biology -- Genotype and phenotype relations : from variations to genetic modifiers to epigenetics -- Microbial life : from invisible spores to germs and prokaryotic organisms -- Embryology : from philosophic forms to epigenetic organogenesis -- Cell organelles : from cell theory to cell biology -- Evolution : from guesswork to natural selection, to molecular phylogeny -- How does science usually work?

What is Science? A Guide for Those Who Love It, Hate It, or Fear It, provides the reader with ways science has been done through discovery, exploration, experimentation and other reason-based approaches. It discusses the basic and applied sciences, the reasons why some people hate science, especially its rejection of the supernatural, and others who fear it for human applications leading to environmental degradation, climate change, nuclear war, and other outcomes of sciences applied to society. The author uses anecdotes from interviews and associations with many scientists he has encountered in his career to illustrate these features of science and their personalities and habits of thinking or work. He also explores the culture wars of science and the humanities, values involved in doing science and applying science, the need for preventing unexpected outcomes of applied science, and the ways our world view changes through the insights of science. This book will provide teachers lots of material for discussion about science and its significance in our lives. It will also be helpful for those starting out their interest in science to know the worst and best features of science as they develop their careers.

“The Knowledge Machine is the most stunningly illuminating book of the last several decades regarding the all-important scientific enterprise.” —Rebecca Newberger Goldstein, author of Plato at the Googleplex A paradigm-shifting work, The Knowledge Machine revolutionizes our understanding of the origins and structure of science. • Why is science so powerful? • Why did it take so long—two thousand years after the invention of philosophy and mathematics—for the human race to start using science to learn the secrets of the universe? In a groundbreaking work that blends science, philosophy, and history, leading philosopher of science Michael Strevens answers these challenging questions, showing how science came about only once thinkers stumbled upon the astonishing idea that scientific breakthroughs could be accomplished by breaking the rules of logical argument. Like such classic works as Karl Popper’s The Logic of Scientific Discovery and Thomas Kuhn’s The Structure of Scientific Revolutions, The Knowledge Machine grapples with the meaning and origins of science, using a plethora of vivid historical examples to demonstrate that scientists willfully ignore religion, theoretical beauty, and even philosophy to embrace a constricted code of argument whose very narrowness channels unprecedented energy into empirical observation and experimentation. Strevens calls this scientific code the iron rule of explanation, and reveals the way in which the rule, precisely because it is unreasonably close-minded, overcomes individual prejudices to lead humanity inexorably toward the secrets of nature. “With a mixture of philosophical and historical argument, and written in an engrossing style” (Alan Ryan), The Knowledge Machine provides captivating portraits of some of the greatest luminaries in science’s history, including Isaac Newton, the chief architect of modern science and its foundational theories of motion and gravitation; William Whewell, perhaps the greatest philosopher-scientist of the early nineteenth century; and Murray Gell-Mann, discoverer of the quark. Today, Strevens argues, in the face of threats from a changing climate and global pandemics, the idiosyncratic but highly effective scientific knowledge machine must be protected from politicians, commercial interests, and even scientists themselves who seek to open it up, to make it less narrow and more rational—and thus to undermine its devotedly empirical search for truth. Rich with illuminating and often delightfully quirky illustrations, The Knowledge Machine, written in a winningly accessible style that belies the import of its revisionist and groundbreaking concepts, radically reframes much of what we thought we knew about the origins of the modern world.

Originally published in German in 1935, this monograph anticipated solutions to problems of scientific progress, the truth of scientific fact and the role of error in science now associated with the work of Thomas Kuhn and others. Arguing that every scientific concept and theory—including his own—is culturally conditioned, Fleck was appreciably ahead of his time. And as Kuhn observes in his foreword, "Though much has occurred since its publication, it remains a brilliant and largely unexploited resource." "To many scientists just as to many historians and philosophers of science facts are things that simply are the case: they are discovered through properly passive observation of natural reality. To such views Fleck replies that facts are invented, not discovered. Moreover, the appearance of scientific facts as discovered things is itself a social construction, a made thing. A work of transparent brilliance, one of the most significant contributions toward a thoroughly sociological account of scientific knowledge."—Steven Shapin, Science

One of the pathways by which the scientific community confirms the validity of a new scientific discovery is by repeating the research that produced it. When a scientific effort fails to independently confirm the computations or results of a previous study, some fear that it may be a symptom of a lack of rigor in science, while others argue that such an observed inconsistency can be an important precursor to new discovery. Concerns about reproducibility and replicability have been expressed in both scientific and popular media. As these concerns came to light, Congress requested that the National Academies of Sciences, Engineering, and Medicine conduct a study to assess the extent of issues related to reproducibility and replicability and to offer recommendations for improving rigor and transparency in scientific research. Reproducibility and Replicability in Science defines reproducibility and replicability and examines the factors that may lead to non-reproducibility and non-replicability in research. Unlike the typical expectation of reproducibility between two computations, expectations about replicability are more nuanced, and in some cases a lack of replicability can aid the process of scientific discovery. This report provides recommendations to researchers, academic institutions, journals, and funders on steps they can take to improve reproducibility and replicability in science.