Science

"When we entrust the domain of values to those whose intellectual concerns are essentially centred on empirical facts, and whose conceptual frameworks are inevitably constructed around sets of empirical facts, we need not be surprised if the result is moral confusion."

"The purpose of a conceptual model is to provide a vocabulary of terms and concepts that can be used to describe problems and/or solutions of design. It is not the purpose of a model to address specific problems, and even less to propose solutions for them. Drawing an analogy with linguistics, a conceptual model is analogous to a language, while design patterns are analogous to rhetorical figures, which are predefined templates of language usages, suited particularly to specific problems."

"A conceptual model is what in the model theory is called a set of formulas making statements about the world."

"The design of a conceptual model is not a simple, straightforward procedure, and it is certainly not objective!"

"A conceptual model is a model of the projected system that is independent of implementation details"

"The second problem [with using UML for the purposes of this book] is that the Unified Modeling Language concentrates on implementation modeling rather than conceptual modeling."

"Sometimes, however, a conceptual model is only a first step, and the second step is a mathematical representation of the conceptual model"

"Ludwig von Bertalanffy, a distinguished biologist, occupies an important position in the intellectual history of the twentieth century. His contributions went beyond biology, and extended to psychology, psychiatry, sociology, cybernetics, history and philosophy. Some of his admirers even believe that von Bertalanffy's general systems theory could provide a conceptual framework for all these disciplines."

"I strongly reject any conceptual scheme that places our options on a line, and holds that the only alternative to a pair of extreme positions lies somewhere between them. More fruitful perspectives often require that we step off the line to a site outside the dichotomy."

"A conceptual model is a qualitative description of the system and includes the processes taking place in the system, the parameters chosen to describe the processes, and the spatial and temporal scales of the processes."

"The term "paradigm," from the Greek paradeigma ("pattern"), was used by Kuhn to denote a conceptual framework shared by a community of scientists and providing them with model problems and solutions"

"A conceptual model is neither idle nor faithful: it is, or rather it is supposed to be and so taken until further notice, an approximate representation of a real thing."

"What surprised me, which Google was part of, is that superficial search techniques over large bodies of stuff could get you what you wanted. I grew up in the AI tradition, where you have a complete conceptual model, and the information retrieval tradition, where you have complex vectors of key terms and Boolean queries. The idea that you can index billions of pages and look for a word and get what you want is quite a trick. To put it in more abstract terms, it's the power of using simple techniques over very large numbers versus doing carefully constructed systematic analysis."

"The programmer, like the poet, works only slightly removed from pure thought-stuff. He builds his castles in the air, from air, creating by exertion of the imagination. Few media of creation are so flexible, so easy to polish and rework, so readily capable of realizing grand conceptual structures.... Yet the program construct, unlike the poet's words, is real in the sense that it moves and works, producing visible outputs separate from the construct itself. […] The magic of myth and legend has come true in our time. One types the correct incantation on a keyboard, and a display screen comes to life, showing things that never were nor could be."

"A conceptual model is a collection of concepts that together form a 'web of meaning'"

"In the new pattern of thought we do not assume any longer the detached observer, occurring in the idealizations of this classical type of theory, but an observer who by his indeterminable effects creates a new situation, theoretically described as a new state of the observed system. In this way every observation is a singling out of a particular factual result, here and now, from the theoretical possibilities, therefore making obvious the discontinuous aspect of physical phenomena. Nevertheless, there remains still in the new kind of theory an objective reality, inasmuch as these theories deny any possibility for the observer to influence the result of a measurement, once the experimental arrangement is chosen. Therefore particular qualities of an individual observer do not enter into the conceptual framework of the theory."

"Scientists whose work has no clear, practical implications would want to make their decisions considering such things as: the relative worth of (1) more observations, (2) greater scope of his conceptual model, (3) simplicity, (4) precision of language, (5) accuracy of the probability assignment."

"The term architecture is used here to describe the attributes of a system as seen by the programmer, i.e., the conceptual structure and functional behavior, as distinct from the organization of the data flow and controls, the logical design, and the physical implementation. i. Additional details concerning the architecture,"

"The rule is derived inductively from experience, therefore does not have any inner necessity, is always valid only for special cases and can anytime be refuted by opposite facts. On the contrary, the law is a logical relation between conceptual constructions; it is therefore deductible from upper [übergeordnete] laws and enables the derivation of lower laws; it has as such a logical necessity in concordance with its upper premises; it is not a mere statement of probability, but has a compelling, apodictic logical value once its premises are accepted"

"This making or imagining of models (not necessarily or usually a material model, but a conceptual model) is a recognised way of arriving at an understanding of recondite and ultra-sensual occurring say in the ether or elsewhere."

"Mere deductive logic, whether you clothe it in mathematical symbols and phraseology or whether you enlarge its scope into a more general symbolic technique, can never take the place of clear relevant initial concepts of the meaning of your symbols, and among symbols I include words. If you are dealing with nature, your meanings must directly relate to the immediate facts of observation. We have to analyse first the most general characteristics of things observed, and then the more casual contingent occurrences. There can be no true physical science which looks first to mathematics for the provision of a conceptual model. Such a procedure is to repeat the errors of the logicians of the middle-ages."

"The 'physical' does not mean any particular kind of reality, but a particular kind of denoting reality, namely a system of concepts in the natural sciences which is necessary for the cognition of reality. 'The physical' should not be interpreted wrongly as an attribute of one part of reality, but not of the other ; it is rather a word denoting a kind of conceptual construction, as, e.g., the markers 'geographical' or 'mathematical', which denote not any distinct properties of real things, but always merely a manner of presenting them by means of ideas.."

"We realize, however, that all scientific laws merely represent abstractions and idealizations expressing certain aspects of reality. Every science means a schematized picture of reality, in the sense that a certain conceptual construct is unequivocally related to certain features of order in reality;"

"A conceptual model is one which reflects reality by placing words which are concepts into the model in the same way that the model aeroplane builder puts wings, a fuselage, and a cockpit together."

"It is a confusion to present the items of one sort in the idioms of another -- without awareness. For to do this is not just to cross two different sorts; it is to confuse them. It is to mistake, for example, the theory for the fact, the for the , the myth for history, the model for the thing and the metaphor for the face of literal truth."

"Until scientific inquiry came of age, human beings could not comprehend their relationship to the physical world, so they invented their own explanations. These explanations tended to be simplistic and in many cases, harmful. For example, if one knows a tidal wave is approaching and chooses to stay and pray for deliverance rather than leaving, this could be detrimental to his/her survival. People used to believe that plagues and diseases were retributions of an angry God, but the scientific method found that many diseases were carried by rats and lice, and caused by germs. It is not that scientists are close-minded regarding these issues—it’s just that their acceptance of ideas requires more sophisticated standards and methods of inquiry."

"The scientific method helps to diminish biases, prejudices, and preconceived notions. The method requires that statements be verified and that researchers find out through experimentation just what works and what doesn’t. Scientists ask the question “what do we have here?” and then they proceed to do experiments to determine the nature of the physical world. This process requires that experiments be verified by others who must get the same results. One of the major developments in science was the realization that we can not acquire answers to problems just intuitively. It requires painstaking laborious effort and time to find solutions and answers. Often many failures come before any new findings."

"I'm passionately committed to truth. I love the scientific method. I hate to see it distorted either by scientists in the media or by media speaking for scientists. The pure scientific method, the idea that science seeks to disprove itself constantly, it so elevated human thinking beyond any other form—religion, ­whatever—that we've chosen to engage in as a species."

"The scientific method does not exist. But “the scientific method” does. This is a distinction with a difference. Scientists will tell you that there is no single method that characterizes all that they do, much less a simple set of steps that binds everything called “science” together. Scientific labor is complex and diverse, brutally difficult and impossible to encapsulate. If you think you have found a unifying principle, no doubt it leaves out some important aspect of scientific thinking or excludes a branch of what we now call the sciences. In the unlikely event that it does not, then the principle is probably overly inclusive, capturing too many practices to mean much at all. And it is not just scientists who doubt whether such a method exists. Historians are skeptical of it as well—for good reason. One glance back at the history of science reveals even more diversity than exists today, making a single set of steps uniting all the sciences that much harder to imagine. Scientists and historians do not always agree, but they do on this: there is no such thing as the scientific method, and there never was. And yet, “the scientific method” is alive and well. The idea of a set of steps that justifies science’s authority has persisted in the face of constant denials of its existence. Why? Because “the scientific method” is a myth—and myths are powerful things. How we talk about science, how we account for its origins and argue for its results, instills mythical authority in some claims and invalidates others. The myth of “the scientific method” matters, even if (or perhaps, because) the reality it attests is ambiguous at best. Between the doubtful existence of the scientific method and the unquestionable power of “the scientific method,” a history remains to be told. Doing so means exploring how these two phenomena interact, how the way we talk about thinking has shaped the quiet, even tacit process of thinking itself. As the historian of science Steven Shapin has argued: “A practice without an attendant myth is likely to be weak, hard to justify, hard even to make visible as a distinct kind of activity.” If Shapin is right that we are now “dubious of claims that there is anything like ‘a scientific method’—a coherent, universal, and efficacious set of procedures for making scientific knowledge,” we must recognize the power that inheres in the myth of such a method and its complex relationship to how science is actually done."

"Now for the good news. The scientific method is nothing but a piece of rhetoric. Granted, that may not appear to be good news at first, but it actually is. The scientific method as rhetoric is far more complex, interesting, and revealing than it is as a direct reflection of the ways scientists work. Rhetoric is not just words; rather, “just” words are powerful tools to help shape perception, manage the flow of resources and authority, and make certain kinds of actions or beliefs possible or impossible. That’s particularly true of what Raymond Williams called “keywords.” A list of modern-day keywords include “family,” “race,” “freedom,” and “science.” Such words are familiar, repeated again and again until it seems that everyone must know what they mean. At the same time, scratch their surface, and their meanings become full of messiness, variation, and contradiction. Sound familiar? Scientific method is a keyword (or phrase) that has helped generations of people make sense of what science was, even if there was no clear agreement about its precise meaning— especially if there was no clear agreement about its precise meaning. The term could roll off the tongue and be met by heads nodding in knowing assent, and yet there could be a different conception within each mind. As long as no one asked too many questions, the flexibility of the term could be a force of cohesion and a tool for inspiring action among groups. A word with too exact a definition is brittle; its use will be limited to specific circumstances. A word too loosely defined will create confusion and appear to say nothing. A word balanced just so between precision and vagueness can change the world."

"Scientific research is the art of asking the right question in the right way."

"In Victorian criminology there was an enthusiasm for spotting criminal tendencies in a person’s features."

"One semester we took Criminology, for God's sake! Criminology! Who the fuck were we studying to be: Batman?"

""Lawsuit mania"… a continual craving to go to law against others, while considering themselves the injured party."

"Wherever people prefer to call upon "offenses against moral sentience", upon "moral terms" rather than adhere to one's rationally derived scientific criminological approach [dividing irrational, ethnocentric "moral offenses" from actual crimes], one is fully justified in speaking of prejudice's total victory over reason."

"Characteristically, major social movements are spawned in obscurity at the periphery of public awareness, seem to burst suddenly and dramatically into public view, and eventually fade into the landscape not because they have diminished but because they have become a permanent part of our perceptions and experience."

"Unfortunately, goodness and honor are rather the exception than the rule among exceptional men, not to speak of geniuses."

"Existing criminology is insufficient to isolate barbarism. It is insufficient because the idea of "crime" in existing criminology is artificial, for what is called crime is really an infringement of "existing laws", whereas "laws" are very often a manifestation of barbarism and violence. Such are the prohibiting laws of different kinds which abound in modern life. The number of these laws is constantly growing in all countries and, owing to this, what is called crime is very often not a crime at all, for it contains no element of violence or harm. On the other hand, unquestionable crimes escape the field of vision of criminology, either because they have not recognized the form of crime or because they surpass a certain scale. In existing criminology there are concepts: a criminal man, a criminal profession, a criminal society, a criminal sect, and a criminal tribe, but there is no concept of a criminal state, or a criminal government, or criminal legislation. Consequently what is often regarded as "political" activity is in fact a criminal activity."

"No matter how honest scientists think they are, they are still influenced by various unconscious assumptions that prevent them from attaining true objectivity. Expressed in a sentence, Fort's principle goes something like this: People with a psychological need to believe in marvels are no more prejudiced and gullible than people with a psychological need not to believe in marvels."

"A great deal of the thinking [in Organizational Development] has been influenced by cybernetics and information theory, though this has been used as much to extend the scope of as to improve the sophistication of formulations. It was von Bertalanffy (1950) who, in terms of the general transport equation which he introduced, first fully disclosed the importance of openness or closedness to the environment as a means of distinguishing living organisms from inanimate objects."

"The cybernetics phase of cognitive science produced an amazing array of concrete results, in addition to its long-term (often underground) influence:"

"The field of 'information theory' began by using the old hardware paradigm of transportation of data from point to point."

"Without an understanding of causality there can be no theory of communication. What passes as information theory today is not communication at all, but merely transportation."

"Some authors state that the last stage in this chain of measurements involves "consciousness," or the "intellectual inner life" of the observer, by virtue of the "principle of psycho-physical parallelism." Other authors introduce a wave function for the entire universe. In this book, I shall refrain from using concepts that I do not understand."

"Pure mathematics, being mere tautology, and pure physics, being mere fact, could not have engendered them; for creatures to live, must sense the useful and the good; and engines to run must have energy available as work : and both, to endure, must regulate themselves. So it is to Thermodynamics and to its brother Σp log p, called Information theory, that we look for the distinctions between work and energy and between signal and noise."

"Cybernetics is concerned primarily with the construction of theories and models in science, without making a hard and fast distinction between the physical and the biological sciences. The theories and models occur both in symbols and in hardware, and by 'hardware* we shall mean a machine or computer built in terms of physical or chemical, or indeed any handleable parts. Most usually we shall think of hardware as meaning electronic parts such as valves and relays. Cybernetics insists, also, on a further and rather special condition that distinguishes it from ordinary scientific theorizing: it demands a certain standard of effectiveness. In this respect it has acquired some of the same motive power that has driven research on modern logic, and this is especially true in the construction and application of artificial languages and the use of operational definitions. Always the search is for precision and effectiveness, and we must now discuss the question of effectiveness in some detail. It should be noted that when we talk in these terms we are giving pride of place to the theory of automata at the expense, at least to some extent, of feedback and information theory."

"Every time we fire a phonetician/linguist, the performance of our system goes up"

"My greatest concern was what to call it. I thought of calling it 'information,' but the word was overly used, so I decided to call it 'uncertainty.' When I discussed it with John von Neumann, he had a better idea. Von Neumann told me, 'You should call it entropy, for two reasons. In the first place your uncertainty function has been used in statistical mechanics under that name, so it already has a name. In the second place, and more important, no one really knows what entropy really is, so in a debate you will always have the advantage.'"

"We completely ignore the human value of the information. A selection of 100 letters is given a certain information value, and we do not investigate whether it makes sense in English, and, if so, whether the meaning of the sentence is of any practical importance. According to our definition, a set of 100 letters selected at random (according to the rules of Table 1.1), a sentence of 100 letters from a newspaper, a piece of Shakespeare or a theorem of Einstein are given exactly the same informational value."

"In fact, the science of thermodynamics began with an analysis, by the great engineer Sadi Carnot, of the problem of how to build the best and most efficient engine, and this constitutes one of the few famous cases in which engineering has contributed to fundamental physical theory. Another example that comes to mind is the more recent analysis of information theory by Claude Shannon. These two analyses, incidentally, turn out to be closely related."