Wait a second!
More handpicked essays just for you.
More handpicked essays just for you.
Demarcation between science and pseudoscience
Science and pseudoscience easy
Scientific method essaiy
Don’t take our word for it - see why 10 million students trust us with their essay needs.
Recommended: Demarcation between science and pseudoscience
It is important to distinguish forms of reasoning in science in order to distinguish between science and pseudo-science. This essay will explore the concept of the scientific method and how it utilises inductive reasoning, followed by an exploration of Karl Popper’s argument that when scientists explore their ideas through inductive reasoning, they make it impossible for science to hold any more credibility than pseudo-science. This will then be followed a dismantling of Popper’s argument and deductive reasoning proposal on the basis that inductive reasoning is justified, falsifiable, and allows for scientific progress. First, before exploring the possible reasons to dismiss inductive reasoning, it is worth understanding completely how it is applied and justified for application. A helpful argument in understanding induction itself is Russell’s, in which he gives the example that if we hear thunder, it is reasonable to conclude that preceding that thunder came lightning based on our experiences of these occurrences in nature. This idea of past experience is then used to justify the theory of induction, assuming that if we observe that A often happens in relation to B, then we can reasonably conclude that A and B are somehow connected. This also is how the scientific method essentially works. A theory is proposed, followed by an experiment to test said theory, and once the experiment has been repeated to ensure that we have reason enough to believe that A and B cause C, it is accepted as the truth. Thus, the scientific method is the application of induction into practice. In Karl Popper’s paper The Problem of Induction, however, Popper argues that induction is not adequate justification to warrant a reasonable conclusion. In fact... ... middle of paper ... ...g on the fact that we can breach these inevitable gaps of knowledge and still find a conclusion. As Kuhn comments, science requires a definitive paradigm in which we can commit to, because without it, there would be no scientific advancement. In this sense, the inductive reasoning used in the scientific method is justified, as our understanding of scientific truths and all scientific advancement relies on its existence. While Popper’s qualms about inductive reasoning appear to be justified, it nonetheless proves itself to be the less-problematic approach to scientific learning. This approach need not be flawless for it to be functional in its practical application in the world, and for us to justify its continued use. It simply needs to allow progress, which Popper’s overly-cautious deductive approach evidentially does not allow, at least not on a comparable scale.
Any hypothesis, Gould says, begins with the collection of facts. In this early stage of a theory development bad science leads nowhere, since it contains either little or contradicting evidence. On the other hand, Gould suggests, testable proposals are accepted temporarily, furthermore, new collected facts confirm a hypothesis. That is how good science works. It is self-correcting and self-developing with the flow of time: new information improves a good theory and makes it more precise. Finally, good hypotheses create logical relations to other subjects and contribute to their expansion.
...w. There is nothing enabling a scientist to say that induction is a suitable arrangement of evidence in which there is no way to account for the evidence, therefor being no liability in using induction to verify the statement.
...undervalued the use of inductive reasoning, more modern logicians have embraced the value of this type of thinking and acknowledge that both inductive and deductive reasoning can be used to arrive at more thorough and accurate truths about our world and the situations that occur within it.
In science, Hume recognized a problem with scientific causality. He saw science as being based on inductive reasoning, which results in generalized rules or principles.
Messenger, E., Gooch, J., & Seyler, D. U. (2011). Arguing About Science. Argument! (pp. 396-398). New York, NY: Mcgraw-Hill Co..
Carl G. Hempel was of the most influential proponents of what is now regarded as the classic view of explanation in science. In his work, Philosophy of Natural Science, he created the deductive-nomological model which is the following account of scientific explanation, where an explanation is set out as a formalized argument. This is the principle format for works such as Aristotle’s Physica, Ptolemy’s Almagest, Newton’s Principia and Opticks, Franklin’s Electricity, Lavoisie’s Chemistry, and Lyell’s Geology. Thomas Kuhn calls these achievements Paradigms. Through these paradigms normal science developed. In Kuhn’s book, The Structure of Scientific Revolutions, he argues that normal science in a way hinders the development of new phenomenon. He says that there must be a change in a paradigm to create a scientific revolution. Throughout this essay I will explain what Hempel’s model consists of and how it relates to Kuhn’s view.
The term inductive reasoning refers to reasoning that takes specific information and makes a broader generalization that is considered probable, allowing for the fact that the conclusion may not be accurate. An example of inductive reasoning is: All observed children like to play with Legos. All children, therefore, enjoy playing with Legos. Relying on inductive reasoning throughout everyday life is just a part of human nature. If someone were to take into consideration every plausible outcome of a given situation, they would never get anything done or been stricken with worry. The simple principle of induction (SPI) states that:
Since the mid-20th century, a central debate in the philosophy of science is the role of epistemic values when evaluating its bearing in scientific reasoning and method. In 1953, Richard Rudner published an influential article whose principal argument and title were “The Scientist Qua Scientist Makes Value Judgments” (Rudner 1-6). Rudner proposed that non-epistemic values are characteristically required when making inductive assertions on the rationalization of scientific hypotheses. This paper aims to explore Rudner’s arguments and Isaac Levi’s critique on his claims. Through objections to Levi’s dispute for value free ideal and highlighting the importance of non-epistemic values within the tenets and model development and in science and engineering,
The Chalmers's view against the Popperian hypothetico-deductive. Popper mentioned that people shouldn't concentrate our hopes on an unacceptable principle of induction.Also, he claimed that without relying on induction we still can work out how science works and why it is rational.1 Hence, I would like to said Popper would disagree with Chalmer's opinion. Also, I think Popperian might say Chalmers is wrong because his falsifiable in Popperian sense. Chalmers might be falsified if scientific knowledge is observed not reliable due to some experiment and observation might contain mistakes and we do not find them now. Furthermore, the Popperian might argue that science can not be prove but can justify the better theories or laws.1 We can justify which scientific laws or theories are better ones as there is falsified is found, or not scientific. When they are found falsified or not scientific, we can seek for novel bold hypot...
ABSTRACT: My focus in this paper is on how the basic Bayesian model can be amended to reflect the role of idealizations and approximations in the confirmation or disconfirmation of any hypothesis. I suggest the following as a plausible way of incorporating idealizations and approximations into the Bayesian condition for incremental confirmation: Theory T is confirmed by observation P relative to background knowledge
One of the most interesting differences between Japan and China would be their cuisine. So what is the difference between Japanese and Chinese Cuisine? This is a question that is hard to answer, mainly because China is a very large country, making its cuisines differ from area to area. China mainly cooks their food over a high flame with oil and often times, spicy ingredients. The main source of meat in China is Pork. Due to its large amounts of land, the fish eaten in china is also more often freshwater fish than saltwater fish or example, Yu Sheng, a Chinese fish salad, which is often enjoyed during the Lunar New Year. Rice plays a role in Chinese cuisine as well; as it is a main staple in most home cooked meals. Chinese fried rice is a popular component in Chinese cuisine. It is made with steamed rice, stir-fried in a wok (a round- bottomed cooking vessel, often used for stir frying) often served with other ingredients such as eggs, vegetables and a variety of meat. China also uses rice to create a fermented rice wine known as Mijiu.
...fore, I can conclude that my laptop will persist in the future. We can think that we justified our belief by providing these two premises as reasoning. However, we justified it though induction and Hume states that we have no reason in believing into the inductive argument. Our argument becomes a weak one, since the second premise is unsupported. The problem of induction raised by Hume is challenge to justified true belief account because it shows how our inductive argument about the future and unobserved does not provide a good support. Therefore, we cannot get a justified belief by applying inductive principle.
The Deductive-Nomological (D-N) Model gives an account of explanation through its basic form, the Covering Law Model. The D-N Model asks the basic question “What is a scientific explanation?” The aim of this paper is to answer that question and further develop the definition of an explanation by problematizing the D-N Model’s account of explanation, providing a solution to one of those problems, and then further problematizing that solution. By examining the details of an example that the D-N Model explains well, we can see why this model was popular in the first place before describing two of its major problems. Then, by looking at Wesley Salmon’s account of scientific explanation, we can see just how problematic the flaws in the D-N Model
Philosophy is the study of simply questions and answers on broad topics such as the universe and our understanding of our place within it. Despite the fact these questions can seem far away from practical thought and a field such as science there connection with thought, knowledge, language and reality has provided a base for philosophy to extend to other academic fields such as science (Godfrey – Smith, 2003, p. 1,2). One question that shows the connection between the two fields is what is good science; this is the subject of both the work of Thomas Kuhn and Karl Popper. Kuhn and Popper are the most famous examples in the 20th Century of theories intended to show this but both take a different approach. Both look at what science should be and at what science is from a philosophical viewpoint but disagree on both points.
After considering all the described points in this paper, it can be rightly said that there is a considerable difference between science and other types of knowledge.