What is falsification, and why can science falsify but not science?

Updated on science 2024-07-15
8 answers
  1. Anonymous users2024-02-12

    Falsification is to confirm that something is false, and how can non-science identify other things if they can't confirm their own authenticity.

  2. Anonymous users2024-02-11

    One of the biggest ways to falsify is to cite counterexamples, which can be falsified because many definitions of science are deterministic, and we only need to cite a counterexample to break this certainty, while non-science has a lot of uncertainties, so it cannot be falsified.

  3. Anonymous users2024-02-10

    Perjury is hypothesis, and science can falsify because science can't really appreciate that situation, but non-science can.

  4. Anonymous users2024-02-09

    This statement is true. But the example you gave is not very appropriate. Science is the process of observation, analysis, inference, and experimentation to discover the laws behind the material world or explain the phenomena of the material world.

    According to this definition, the scientific method is divided into five steps, and this is Francis Bacon.

    Proposed, that is: observing phenomena, inductive analysis, putting forward hypotheses, verifying falsifications, and making conclusions. Of course, in the fourth step, if the hypothesis is overturned or insufficient to support the hypothesis, the only way to conclude is that the assumption is "wrong" or to redo the first four steps.

    The reason why it is said that "what is falsifiable is science" is because the object of scientific research is the material world, and the expected results are objective laws. Since it is an objective law, it must be repeated to get the same result, otherwise it is not a law.

    In other words, the focus is on the object of scientific research. A lot of so-called science is actually pseudoscience.

    Because the object of their study is not objective laws, such as the origin of the world, the origin of life, ......None of this can be reproduced in the lab. And then there's the question you mentioned: "Flowers are red".

    This proposition is still irrelevant to the law, what color is red, it is a matter of experience and definition.

  5. Anonymous users2024-02-08

    Falsification means that any scientific theory has certain limitations, and beyond a certain range, a new theory must be established, and the original theory is "falsified", but the original theory is still the truth, but it is valid within the original conditions, not "pseudoscience".

    Confirmation: Usually the return refers to the proof of the truth of a thing through one or more objective existences, that is, to show or conclude with people and facts. The relationship between falsification and verification: Confirmation and falsification are relative and asymmetrical.

    The difference between falsification and verification: Verification is based on inductivism, which proves the correctness of a theory by induction through a large number of facts. Falsificationism is based on deductive logic, and Popper's falsificationism emphasizes the falsification of the theory of strict full-term statements.

    Logical positivism is based on experience, using logic as a tool, reasoning, and using probability theory to revise conclusions. It argues that the scientific method is the only correct way to study human behavior, and therefore, although it is based on perceptual experience, it denies the positive role of perceptual cognition and is an out-and-out rationalism.

    From an empirical point of view, many researchers believe that the external objective world can be recognized and quantified. Falsificationism holds that scientific theories are constantly confirmed by finite, individual empirical facts, but individual empirical facts can falsify universal propositions, i.e., if conclusions based on deductive reasoning are false, their premises must be false.

  6. Anonymous users2024-02-07

    Simply put, falsifiable means that a theory must give the probability that it can be proven false under certain conditions.

    Theories that are not wrong in any case, that they are not erroneous by arbitrary interpretation after the fact, and that they are not allowed to test their errors are not falsifiable.

    Examples: 1. It may or may not rain tomorrow - in any case, it will not be wrong, even if the earth is destroyed tomorrow, it will not rain. Such a proposition has no meaning and belongs to the nonsense that is always true.

    The same can be true of your computer's malfunction, which could be a hardware problem or a software problem.

    2. One-finger hexagram. The three of them rushed to ask the hexagram, but the hexagram master was silent, only pointing a finger. Whatever the outcome, the hexagram master can explain it afterwards:

    1) All-in or all-in, 1 can represent all; 2) One is hit, it can be said that this 1 refers to one of them; 3) Two hits, it can be said that this 1 refers to one person who misses. Whatever the case may be, it can be interpreted as correct.

    3. Refuse to test, such as "Do not tempt your God."

    As can be seen, none of these circumstances are falsifiable. If science has such characteristics, who can rest assured?

  7. Anonymous users2024-02-06

    Because everything in the world is dialectically unified.

  8. Anonymous users2024-02-05

    Traditional Chinese medicine (TCM) is a traditional medicine with a long history, which has its own theoretical system, clinical practice, pharmacology and other related principles and methods, and these contents or views have a certain degree of scientific and rationality. Therefore, TCM should not be classified as pseudoscience in its entirety.

    However, some inappropriate perceptions, methods, and their practices can lead to false beliefs in medicine. Some TCM theories, diagnoses and methods have not been rigorously verified and demonstrated by science, and some TCM doctors and institutions often over-publicize the so-called mystical or ghostly blessings in order to make improper profits and manipulate patients. These actions can have adverse effects and associated risks.

    Therefore, for the evaluation of traditional Chinese medicine, we should base it on scientific, empirical, and real results, rather than blind and one-sided denial or acceptance. At the same time, it is necessary to strengthen scientific methods and rigorous research for the problems existing in the clinical practice and research of traditional Chinese medicine, so as to better promote and develop the cause of traditional Chinese medicine.

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