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The woman then attempts to explain what really happened. The "neat" 3-part structure and the unresolved conclusion make this example 'legendary'. Sometimes these stories are adapted from real situations, and students are sometimes asked to work out the legal issues involved. [16] In this context, jumping to conclusions is a theme of urban legends.
Arbitrary inference is a classic tenet of cognitive therapy created by Aaron T. Beck in 1979. [1] He defines the act of making an arbitrary inference as the process of drawing a conclusion without sufficient evidence, or without any evidence at all.
Naturalistic fallacy – inferring evaluative conclusions from purely factual premises [105] [106] in violation of fact-value distinction. Naturalistic fallacy (sometimes confused with appeal to nature) is the inverse of moralistic fallacy. Is–ought fallacy [107] – deduce a conclusion about what ought to be, on the basis of what is.
A faulty generalization is an informal fallacy wherein a conclusion is drawn about all or many instances of a phenomenon on the basis of one or a few instances of that phenomenon. It is similar to a proof by example in mathematics. [1] It is an example of jumping to conclusions. [2]
Example: Andy gets mostly compliments and positive feedback about a presentation he has done at work, but he also has received a small piece of criticism. For several days following his presentation, Andy dwells on this one negative reaction, forgetting all of the positive reactions that he had also been given.
Terms and concepts include coherence, attention, laziness, association, jumping to conclusions, WYSIATI (What you see is all there is), and how one forms judgments. The System 1 vs. System 2 debate includes the reasoning or lack thereof for human decision making, with big implications for many areas including law and market research. [7]
By contrast, everyday reasoning is mostly non-monotonic because it involves risk: we jump to conclusions from deductively insufficient premises. We know when it is worth or even necessary (e.g. in medical diagnosis) to take the risk. Yet we are also aware that such inference is defeasible—that new information may undermine old conclusions.
An example is a probabilistically valid instance of the formally invalid argument form of denying the antecedent or affirming the consequent. [ 12 ] Thus, "fallacious arguments usually have the deceptive appearance of being good arguments, [ 13 ] because for most fallacious instances of an argument form, a similar but non-fallacious instance ...