Science

"The quality of the human that precludes identifying the individual with the class is ‘metaphysical’ and has no place in empiricist epistemology. The pigeon hole into which a man is shoved circumscribes his fate."

"Logical empiricism holds the view, notwithstanding some its assertions, that the forms of knowledge and consequently the relations of man to nature and to other men never change. According to rationalism, too, all subjective and objective potentialities are rooted in insights which the individual already possesses, but rationality uses existing objects as well as the active inner striving and ideas of man to construct standards for the future. In this regard, it is not so closely associated with the present order as is empiricism."

"No criticism can be brought against a branch of technical science from outside; no thought fitted out with the knowledge of a period and setting its course by definite historical aims could have anything to say to the specialist. Such thought and the critical, dialectical element it communicates to the process of cognition, thereby maintaining conscious connection between that process and historical life, do not exist for empiricism; nor do the associated categories, such as the distinction between essence and appearance, identity in change, and rationality of ends, indeed, the concept of man, of personality, even of society and class taken in the sense that presupposes specific viewpoints and directions of interest."

"The characteristic activity of science is not construction, but induction. The more often something has occurred in the past, the more certain that it will in all the future. Knowledge relates solely to what is and to its recurrence. New forms of being, especially those arising from the historical activity of man, lie beyond empiricist theory. Thoughts which are not simply carried over from the prevailing pattern of consciousness, but arise from the aims and resolves of the individual, in short, all historical tendencies that reach beyond what is present and recurrent, do not belong to the domain of science."

"Humean skepticism should be well distinguished from Greek skepticism. Hume’s assumes as basic the truth of the empirical, of feeling, of intuition, and from that base contests general determinations and laws—because they lack justification from sense perception. Ancient skepticism was so far from making feeling and intuition the principle of truth that, on the contrary, it turned first of all against the senses."

"Empiricism itself is only the means, a quicker and more effective technique, for achieving technology’s ultimate cultural goal: the building of the ideal in the real world. One of its own basic dictates is that a certain amount of material must be collected and arranged into categories before any decisive comparison, analysis, or discovery can be made. In this light centuries of empirical science have been little more than the building of foundations for the breakthroughs of our own time and the future. The amassing of information and understanding of the laws and mechanical processes of nature (‘pure research’) is but a means to a larger end: total understanding of Nature in order, ultimately, to achieve transcendence."

"Naive falsificationism takes it for granted that the laws of nature are manifest an not hidden beneath disturbances of considerable magnitude. Empiricism takes it for granted that sense experience is a better mirror of the world than pure thought. Praise of argument takes it for granted that the artifices of Reason give better results than the unchecked play of our emotions. Such assumptions may be perfectly plausible and even true. Still, one should occasionally put them to a test. Putting them to a test means that we stop using the methodology associated with them, start doing science in a different way and see what happens."

"[On Empiricism] It is evident, on the basis of our considerations, that this appearance of success cannot in the least be regarded as a sign of truth and correspondence with nature. Quite the contrary, suspicion arises that the absence of major difficulties is a result of the decrease of empirical content brought about by the elimination of alternatives, and of facts that can be discovered with their help. In other words, the suspicion arises that this alleged success is due to the fact that the theory, when extended beyond its starting point, was turned into rigid ideology. Such Ideology is "successful" not because it agrees so well with the facts; it is successful because no facts have been specified that could constitute a test, and because some such facts have been removed. Its "success" is entirely man-made. It was decided to stick to some ideas, come what may, and the result was, quite naturally, the survival of these ideas. If now the initial decision is forgotten, or made only implicitly, for example, if it becomes common law in physics, then the survival itself will seem to constitute independent support., it will reinforce the decision, or turn it into an explicate one, and in this way close the circle. This is how empirical "evidence" may be created by a procedure which quotes as its justification the very same evidence it has Produced."

"Many people think that the progress of the human race is based on experiences of an empirical, critical nature, but I say that true knowledge is to be had only through a philosophy of deduction. For it is intuition that improves the world, not just following a trodden path of thought. Intuition makes us look at unrelated facts and then think about them until they can all be brought under one law. To look for related facts means holding onto what one has instead of searching for new facts. Intuition is the father of new knowledge, while empiricism is nothing but an accumulation of old knowledge. Intuition, not intellect, is the 'open sesame' of yourself."

"I have found no better expression than "religious" for confidence in the rational nature of reality, insofar as it is accessible to human reason. Whenever this feeling is absent, science degenerates into uninspired empiricism."

"Empiricism and positivism share the common view that scientific knowledge should in some way be derived from the facts arrived at by observation."

"When I observed that by the performance of certain actions, unwholesome factors increased and wholesome factors decreased, then that form of bodily action was to be avoided. And when I observed that by the performance of such actions unwholesome factors decreased and wholesome ones increased, then such bodily action was to be followed. ... The same applies to conduct of speech and the pursuit of goals."

"Science in the past (and partly in the present), was dominated by one-sided empiricism. Only a collection of data and experiments were considered as being ‘scientific’ in biology (and psychology); forgetting that a mere accumulation of data, although steadily piling up, does not make a science."

"Science is not inevitable; this question is very fruitful indeed."

"The whole tendency of empiricism and democracy in speech, dress and manners has been toward a plainness which is without symbolic significance. The power of symbolism is greatly feared by those who wish to expel from life all that is nonrational in the sense of being nonutilitarian"

"The theory of empiricism is plausible because it assumes that accuracy about small matters prepares the way for valid judgment about large ones. What happens, however, is that the judgments are never made. The pedantic empiricist, buried in his little province of phenomena, imagines that fidelity to it exempts him from concern with larger aspects of reality."

"Rave on, down through the industrial revolution Empiricism, atomic and nuclear age Rave on down through time and space down through the corridors Rave on words on printed page."

"It is also naïve empiricism to provide, in support of some argument, series of eloquent confirmatory quotes by dead authorities. By searching, you can always find someone who made a well-sounding statement that confirms your point of view—and, on every topic, it is possible to find another dead thinker who said the exact opposite."

"The notion that "applied" knowledge is somehow less worthy than "pure" knowledge, was natural to a society in which all useful work was performed by slaves and serfs, and in which industry was controlled by the models set by custom rather than by intelligence."

"Models can easily become so complex that they are impenetrable, unexaminable, and virtually unalterable."

"We have no idea about the 'real' nature of things … The function of modeling is to arrive at descriptions which are useful."

"The statistician knows ... that in nature there never was a normal distribution, there never was a straight line, yet with normal and linear assumptions, known to be false, he can often derive results which match, to a useful approximation, those found in the real world."

"For the scientist a model is also a way in which the human though processes can be amplified. This method often takes the form of models that can be programmed into computers. At no point, however, the scientist intend to loose control of the situation because off the computer does some of his thinking for him. The scientist controls the basic assumptions and the computer only derives some of the more complicated implications."

"The word model is used as a noun, adjective, and verb, and in each instance it has a slightly different connotation. As a noun "model" is a representation in the sense in which an architect constructs a small-scale model of a building or a physicist a large-scale model of an atom. As an adjective "model" implies a degree or perfection or idealization, as in reference to a model home, a model student, or a model husband. As a verb "to model" means to demonstrate, to reveal, to show what a thing is like."

"Any model or description that leaves out conscious forces … is bound to be sadly incomplete and unsatisfactory … This scheme is one that puts mind back over matter, in a sense, not under or outside or beside it. It is a scheme that idealizes ideas and ideals over physical and chemical interactions, nerve impulse traffic, and DNA. It is a brain model in which conscious mental psychic forces are recognized to be the crowning achievement of some five hundred million years or more of evolution."

"Knowledge about the process being modeled starts fairly low, then increases as understanding is obtained and tapers off to a high value at the end."

"Scientists work from models acquired through education and through subsequent exposure to the literature often without quite knowing or needing to know what characteristics have given these models the status of community paradigms"

"Economists also use models to learn about the world, but instead of being made of plastic, they are most often composed of diagrams and equations. Like a biology teacher’s plastic model, economic models omit many details to allow us to see what is truly important. Just as the biology teacher’s model does not include all the body’s muscles and capillaries, an economist’s model does not include every feature of the economy."

"Complexity scientists concluded that there are just too many factors—both concordant and contrarian—to understand. And with so many potential gaps in information, almost nobody can see the whole picture. Complex systems have severe limits, not only to predictability but also to measurability. Some complexity theorists argue that modelling, while useful for thinking and for studying the complexities of the world, is a particularly poor tool for predicting what will happen."

"Scientific modeling, the generation of a physical, conceptual, or mathematical representation of a real phenomenon that is difficult to observe directly. Scientific models are used to explain and predict the behaviour of real objects or systems and are used in a variety of scientific disciplines, ranging from physics and chemistry to ecology and the Earth sciences. Although modeling is a central component of modern science, scientific models at best are approximations of the objects and systems that they represent—they are not exact replicas. Thus, scientists constantly are working to improve and refine models."

"Models are of central importance in many scientific contexts. The centrality of models such as the billiard ball model of a gas, the Bohr model of the atom, the MIT bag model of the nucleon, the Gaussian-chain model of a polymer, the Lorenz model of the atmosphere, the Lotka-Volterra model of predator-prey interaction, the double helix model of DNA, agent-based and evolutionary models in the social sciences, or general equilibrium models of markets in their respective domains are cases in point. Scientists spend a great deal of time building, testing, comparing and revising models, and much journal space is dedicated to introducing, applying and interpreting these valuable tools. In short, models are one of the principal instruments of modern science."

"Investors should be skeptical of history-based models. Constructed by a nerdy-sounding priesthood using esoteric terms such as beta, gamma, sigma and the like, these models tend to look impressive. Too often, though, investors forget to examine the assumptions behind the symbols. Our advice: Beware of geeks bearing formulas."

"My first heresy says that all the fuss about global warming is grossly exaggerated. Here I am opposing the holy brotherhood of climate model experts and the crowd of deluded citizens who believe the numbers predicted by the computer models. Of course, they say, I have no degree in meteorology and I am therefore not qualified to speak. But I have studied the climate models and I know what they can do. The models solve the equations of fluid dynamics, and they do a very good job of describing the fluid motions of the atmosphere and the oceans. They do a very poor job of describing the clouds, the dust, the chemistry and the biology of fields and farms and forests. They do not begin to describe the real world that we live in. The real world is muddy and messy and full of things that we do not yet understand. It is much easier for a scientist to sit in an air-conditioned building and run computer models, than to put on winter clothes and measure what is really happening outside in the swamps and the clouds. That is why the climate model experts end up believing their own models."

"The role of conceptual modelling in information systems development during all these decades is seen as an approach for capturing fuzzy, ill-defined, informal "real-world" descriptions and user requirements, and then transforming them to formal, in some sense complete, and consistent conceptual specifications."

"Visual modeling is a usage of images in various business-fields (in the industry, science, management etc). There are additional limitations on these images distinguishing them from arbitrary pictures - they are created from the standard “patterns” having defined semantics and way of usage."

"Modelling is an essential and inseparable part of all scientific, and indeed all intellectual, activity. How then can we treat it as a separate discipline? The answer is that the professional modeller brings special skills and techniques to bear in order to produce results that are insightful, reliable, and useful. Many of these techniques can be taught formally, such as sophisticated statistical methods, computer simulation, systems identification, and sensitivity analysis. These are valuable tools, but they are not as important as the ability to understand the underlying dynamics of a complex system well enough to assess whether the assumptions of a model are correct and complete. Above all, the successful modeller must be able to recognise whether a model reflects reality, and to identify and deal with divergences between theory and data."

"Scientific models have all these connotations. They are representations of states, objects, and events. They are idealized in the sense that they are less complicated than reality and hence easier to use for research purposes. These models are easier to manipulate and "carry" than the real thing. The simplicity of models, compared with reality, lies in the fact that only the relevant properties of reality are represented."

"There are many specific techniques that modellers use, which enable us to discover aspects of reality that may not be obvious to everyone..."

"A model is a physical, mathematical, or logical representation of a system entity, phenomenon, or process. A simulation is the implementation of a model over time. A simulation brings a model to life and shows how a particular object or phenomenon will behave. It is useful for testing, analysis or training where real-world systems or concepts can be represented by a model."

"Ackoff (1962)... differentiates between iconic models, which use the same materials but involve changes in scale, analogue models which also involve a change in the materials used in building the model, and symbolic models which represent reality by some symbolic system such as a system of mathematical equations."

"Today, nearly all biologists acknowledge that evolution is a fact. The term theory is no longer appropriate except when referring to the various models that attempt to explain how life evolves..."

"Essentially, all models are wrong, but some are useful."

"The value of global modelling has been severely restricted by poor appreciation of the constraints under which governments and politicians operate. Equally, the value of governments and politicians has been severely restricted by largely ignoring the very real but less immediate problems tackled by modellers."

"The models of management which individuals and organizations use come from a variety of sources. Sometimes the model comes from a theory. The theory may emerge from someone's thoughts about the desired characteristics of a manager, or about the characteristics of competent managers. Sometimes the model comes from a panel. A group of people, possibly in the job or at levels above the job within the organization, generates a model through discussion of what is needed to perform a management job competently."

"Fretting about a dearth of randomness seems like worrying that humanity might use up its last reserves of ignorance."

"While in theory randomness is an intrinsic property, in practice, randomness is incomplete information."

"The definition of random in terms of a physical operation is notoriously without effect on the mathematical operations of statistical theory because so far as these mathematical operations are concerned random is purely and simply an undefined term."

"One of us recalls producing a 'random' plot with only 11 planes, and being told by his computer center's programming consultant that he had misused the random number generator: 'We guarantee that each number is random individually, but we don’t guarantee that more than one of them is random.' Figure that out."

"Any one who considers arithmetical methods of producing random digits is, of course, in a state of sin."

"Existence is random. Has no pattern save what we imagine after staring at it for too long. No meaning save what we choose to impose. This rudderless world is not shaped by vague metaphysical forces. It is not God who kills the children. Not fate that butchers them or destiny that feeds them to the dogs. It’s us. Only us."