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  2. Models of scientific inquiry - Wikipedia

    en.wikipedia.org/wiki/Models_of_scientific_inquiry

    The deductive argument is called an explanation, its premisses are called the explanans (L: explaining) and the conclusion is called the explanandum (L: to be explained). Depending on a number of additional qualifications, an explanation may be ranked on a scale from potential to true. Not all explanations in science are of the D-N type, however.

  3. Explanatory power - Wikipedia

    en.wikipedia.org/wiki/Explanatory_power

    A theory or explanation is hard to vary if all details play a functional role, i.e., cannot be varied or removed without changing the predictions of the theory. Easy to vary (i.e., bad) explanations, in contrast, can be varied to be reconciled with new observations because they are barely connected to the details of the phenomenon of question.

  4. Predictive power - Wikipedia

    en.wikipedia.org/wiki/Predictive_power

    The New York Times of November 10, 1919, reported on Einstein's confirmed prediction of gravitation on space, called the gravitational lens effect.. The concept of predictive power, the power of a scientific theory to generate testable predictions, differs from explanatory power and descriptive power (where phenomena that are already known are retrospectively explained or described by a given ...

  5. Postdiction - Wikipedia

    en.wikipedia.org/wiki/Postdiction

    In skepticism, postdiction is also referred to as post-shadowing, retroactive clairvoyance, or prediction after the fact, and is an effect of hindsight bias that explains claimed predictions of significant events, such as plane crashes and natural disasters. Accusations of postdiction might be applicable if the prediction were:

  6. Deductive-nomological model - Wikipedia

    en.wikipedia.org/wiki/Deductive-nomological_model

    Aristotle's scientific explanation in Physics resembles the DN model, an idealized form of scientific explanation. [7] The framework of Aristotelian physics—Aristotelian metaphysics—reflected the perspective of this principally biologist, who, amid living entities' undeniable purposiveness, formalized vitalism and teleology, an intrinsic morality in nature. [8]

  7. The Signal and the Noise - Wikipedia

    en.wikipedia.org/wiki/The_Signal_and_the_Noise

    The Signal and the Noise: Why So Many Predictions Fail – but Some Don't is a 2012 book by Nate Silver detailing the art of using probability and statistics as applied to real-world circumstances. The book includes case studies from baseball, elections, climate change, the 2008 financial crash , poker, and weather forecasting.

  8. Prediction - Wikipedia

    en.wikipedia.org/wiki/Prediction

    In a non-statistical sense, the term "prediction" is often used to refer to an informed guess or opinion.. A prediction of this kind might be informed by a predicting person's abductive reasoning, inductive reasoning, deductive reasoning, and experience; and may be useful—if the predicting person is a knowledgeable person in the field.

  9. Calculus of voting - Wikipedia

    en.wikipedia.org/wiki/Calculus_of_voting

    Calculus of voting refers to any mathematical model which predicts voting behaviour by an electorate, including such features as participation rate. A calculus of voting represents a hypothesized decision-making process.

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