Which models are the most reliable? Well, obviously, the models that come from hard science and engineering are the most reliable models on this earth. And engineering quality control — at least the guts of it that matters to you and me and people who are not professional engineers — is very much based on the elementary mathematics of Fermat and Pascal: It costs so much, and you get so much less likelihood of it breaking if you spend this much. It’s all elementary high school mathematics.
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Engineers, scientists, and statisticians have, until recently, been the groups chiefly interested in activity called quality control. These technologists have been primarily concerned with the technical methods which have become associated with the subject. They have applied these methods to a number of industrial quality problems.
It is to be hoped that those who believe they already have some different model that is more valid will present it in the same explicit detail, so that its assumptions and consequences can be examined and compared. To reject this model because of its shortcomings without offering concrete and tangible alternatives would be equivalent to asking that time be stopped. But the world will continue to turn. We always use the most acceptable model at any point in time. But how should we proceed so that the most acceptable model is also the best one that is available? We should try for three things. First, the best existing model should be identified at each point in time. Second, the best currently existing model should be used in preference to traditional models that may be less clear and less correct. Third, aggressive effort should be devoted to a continual improvement in the available models of the world system.
How many times did we hear statements along the lines of: "Scientific research showed that ..." or "It has been scientifically proven that ..." In doing so, people assume that science is always true. But how reliable is science? A lot of what we call science, and we accept as true, is neither true nor false, and belongs to metaphysics. For a short time (following the publication of Wittgenstein's Tractatus), it looked like we could make a razor-sharp distinction between reliable scientific statements and unreliable metaphysical statements. But Wittgenstein himself challenged that distinction with the posthumous publication of his Philosophical Investigations. Still later, (predominantly French) postmodern philosophy picked up the proposition that there is less truth contained in general science than in a simple literary poem. The days of reliable general theories seemed hopelessly over. Is that so? Has cognitive thinking become impossible? The following is a reflection. The era we live in, at least in the Western world, is called postmodernity. It is characterised by great uncertainty and a sense of increasing insecurity. Uncertainty surrounds unanswered questions related to the future of the planet, to the sustainability of energy supplies, to job security, to family stability, to declining social control, to the increase in the number of asylum seekers, to the existence of a god, and so on. Insecurity is linked to war, to terrorism, to crime. The idea is to study all these phenomena scientifically. But how sure am I that science is still reliable?
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.
The model will provide consistent value to your customers, employees, suppliers, and lenders, beyond what they expect. 2. The model will be operated by people with the lowest possible level of skill. 3. The model will stand out as a place of impeccable order. 4. All work in the model will be documented in Operations Manuals. 5. The model will provide a uniformly predictable service to the customer. 6. The model will utilize a uniform color, dress, and facilities code.
The sciences do not try to explain, they hardly even try to interpret, they mainly make models. By a model is meant a mathematical construct which, with the addition of certain verbal interpretations, describes observed phenomena. The justification of such a mathematical construct is solely and precisely that it is expected to work - that is correctly to describe phenomena from a reasonably wide area. Furthermore, it must satisfy certain esthetic criteria - that is, in relation to how much it describes, it must be rather simple.
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