PPT-Chapter 10 Errors and Fallacies in Causal Reasoning

Author : mitsue-stanley | Published Date : 2018-09-17

The Post Hoc Fallacy this is sometimes called the post hoc ergo propter hoc fallacy The full phrase means after this therefore because of this And it is a causal

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Chapter 10 Errors and Fallacies in Causal Reasoning: Transcript


The Post Hoc Fallacy this is sometimes called the post hoc ergo propter hoc fallacy The full phrase means after this therefore because of this And it is a causal inference fallacy 304. Ad Hominem, Appeal to Emotions, False Dilemma, Appeal to the People, Scare Tactic, False Cause, Hasty Generalization, Red Herring, and Traditional Wisdom. What is a Fallacy?. According to Webster’s Dictionary, a fallacy is an error in reasoning or a flawed argument.. Homework. Recommended Exercises. (. do the starred problems. ). 4.4.III. : 1-50. Remember. . How does each specific argument commit a fallacy of that . type. ? . . Where precisely is the offending element in the argument?. Write an OPEN, a CLOSED, and a COUNTERARGUMENT thesis for the following question.. Should states make it harder for individuals to buy guns by requiring a background check and a mental health evaluation for all gun buyers?. Informal Fallacy Guide. Evaluating Arguments. The primary task of critical thinking is to identify arguments and to evaluate them.. There are two basic ways of evaluating arguments.. One technique is to evaluate the logical form of an argument by abstracting on its content, and analyzing the structure of the argument in order to determine if it is valid.. Sources: D. Jensen. “Research Methods for Empirical Computer Science.”. . William M.K. . Trochim. . “Research Methods Knowledgebase”. More on Causality. What is causality?. What’s Important About Causality?. Abstract. In many real-world applications, it is important to mine causal relationships where an event or event pattern causes certain outcomes with low probability. Discovering this kind of causal relationships can help us prevent or correct negative outcomes caused by their antecedents. In this paper, we propose an innovative data mining framework and apply it to mine potential causal associations in electronic patient data sets where the drug-related events of interest occur infrequently. Specifically, we created a novel interestingness measure, exclusive causal-leverage, based on a computational, fuzzy recognition-primed decision (RPD) model that we previously developed. On the basis of this new measure, a data mining algorithm was developed to mine the causal relationship between drugs and their associated adverse drug reactions (ADRs). . Research Assignment . Due Monday night. Worth 15 pts.. Will help you develop your speech. Exam 2 Wednesday. Review materials are up online. 30% Short answer (Group) and 70% Multiple Choice. Next Friday: Workshop for first 3 days of speakers. . by Auguste Rodin. Rationalism. in its modern sense, . rationalism. is any view appealing to reason as a source of knowledge or justification. it is a method of justifying beliefs in which the criterion of the truth is not sensory but intellectual and logical. Things you believe. that you can justify. that are true. Statements that you believe. that you can justify within some system of justification to the satisfaction of most people who operate within that system.. What is a fallacy? . What is a fallacy?. A . failure in logical reasoning. A . misleading or unsound argument. .. Argumentative structure – Claim, Evidence, (Warrant). A . misleading or untrue WARRANT. Causal arguments are inductive arguments in which the conclusion is a claim that one thing causes another.. For example:. Clogged arteries cause heart attacks. A rough surface produces friction. Exercise during heat causes sweating. Pointy things go in the outlet, right?. Oh, look! It’s human nonsense generator, Donald Trump!. TRUMP! Everybody is excited about me! Big crowds, big, big crowds… the polls…. TRUMP!!!!. Yeah… That really doesn’t make any sense… which reminds me that this is a good time to talk about logical fallacies!. Qiang . Ning, . . Zhili. . Feng. , . Hao Wu, . Dan . Roth. 07/18/2018. University of Illinois, . Urbana-Champaign . &. University . of Pennsylvania. Time is Important. Understanding . S. ession & Syllabus. Session. Topics. Descriptions. Lecturer. 1. 4 Sep 2014. Introduction. & Prologue. Dosen. PJ. 2. 11 Sep. . 2014. Recognizing Fallacies. Looking at deceptive arguments, or fallacies.

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