1 Classification of Fallacies of Relevance

نویسندگان

  • David Godden
  • Fabrizio Macagno
چکیده

Fallacies of relevance, a major category of informal fallacies, include two that could be called pure fallacies of relevance –wrong conclusion (ignoratio elenchi, wrong conclusion, missing the point) and red herring (digression, diversion). The problem is how to classify examples of these fallacies so that they clearly fall into the one category or the other, on some rational system of classification. In this paper, the argument diagramming software system Araucaria is used to analyze the argumentation in some selected textbook examples of pure fallacies of relevance. A system of classification of these fallacies is proposed, and sets of criteria for determining whether an example should be classified as wrong conclusion or red herring are formulated. A key difference cited is that in a case where the red herring fallacy has been committed, even if the argument may go to a wrong conclusion, there is evidence of the use of a deceptive tactic of diversion. Textual evidence must indicate that the arguer deliberately interjects a distracting controversy to lead the respondent away from the real issue to be disputed.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

The Relationship between Iranian EFL Learners’ Linguistic and Logical Intelligences and the Frequency of Fallacies and Evidence in their Argumentative Writing: A Gender-based Study

The learners’ ability to write a well-organized argumentative essay has gained prominence within the last decades. The multiple intelligences play a significant role in enhancing the precision of both language and thought during the writing process. The current study aimed at investigating the possible relationship between linguistic and logical intelligences and the frequency of informal falla...

متن کامل

A New Framework for Distributed Multivariate Feature Selection

Feature selection is considered as an important issue in classification domain. Selecting a good feature through maximum relevance criterion to class label and minimum redundancy among features affect improving the classification accuracy. However, most current feature selection algorithms just work with the centralized methods. In this paper, we suggest a distributed version of the mRMR featu...

متن کامل

- 1 - A Taxonomy of Fallacies in System Safety Arguments

Safety cases are gaining acceptance as assurance vehicles for safety-related systems. A safety case documents the evidence and argument that a system is safe to operate; however, logical fallacies in the underlying argument may undermine a system’s safety claims. Removing these fallacies is essential to reduce the risk of safety-related system failure. We present a taxonomy of common fallacies ...

متن کامل

Design options and methodological fallacies in the studies of reproductive failures.

Reproductive failures are at first sight well suited for epidemiologic research. The time of pregnancy is closely monitored, and failures such as spontaneous abortions and subfecundity are rather frequent. Although epidemiologists' interest in the field has been growing, there is still disappointingly little new information of relevance for prevention. A number of methodologic shortcomings may ...

متن کامل

A Taxonomy of Fallacies in System Safety Arguments

Safety cases are gaining acceptance as assurance vehicles for safety-related systems. A safety case documents the evidence and argument that a system is safe to operate; however, logical fallacies in the underlying argument might undermine a system’s safety claims. Removing these fallacies is essential to reduce the risk of safety-related system failure. We present a taxonomy of common fallacie...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2006