coherent Fallacies :

Are common errors in reasoning that will undermine the logic of your argument. Fallacies can be either illegitimate arguments or irrelevant points, and are often identified because they lack evidence that supports their claim. Avoid these common fallacies in your own arguments and watch for them in the arguments of others.

ad Hominem
Slippery slope
Searching for Perfect Solution
ad Populum

appeal to questionable agency
Appeals to Emotions
Straw Person
Either-Or ( or False Dilemma )
aspirant think
Explaining by Naming
Glittering Generality
red herring
Begging the question

Some Logical Fallacy Examples

This resource covers using logic within writing—logical vocabulary, coherent fallacies, and other types of logos-based argue .
Fallacies are common errors in reasoning that will undermine the logic of your argument. Fallacies can be either illegitimate arguments or irrelevant points, and are often identified because they lack tell that supports their title. Avoid these common fallacies in your own arguments and vigil for them in the arguments of others .
Contributors : Ryan Weber, Allen Brizee final Edited : 2013-03-11 10:08:50

Slippery Slope: 
This is a decision based on the premise that if A happen, then finally through a series of small steps, through B, C, …, X, Y, Z will happen, excessively, basically equating A and Z. so, if we do n’t want Z to occur, A must not be allowed to occur either. exemplar :
If we ban Hummers because they are badly for the environment finally the government will ban all cars, so we should not ban Hummers .
In this case, the author is equating banning Hummers with banning all cars, which is not the lapp thing.

Begging the Claim: 
The decision that the writer should prove is validated within the claim. model :
Filthy and polluting char should be banned .
Arguing that ember pollutes the land and therefore should be banned would be logical. But the very termination that should be proved, that ember causes adequate contamination to warrant banning its function, is already assumed in the title by referring to it as “ dirty and pollute. ”
This is a conclusion that oversimplifies the argument by reducing it to only two sides or choices. exercise :
We can either stop using cars or destroy the earth .
In this exercise, the two choices are presented as the only options, so far the writer ignores a image of choices in between such as developing cleaner engineering, car-sharing systems for necessities and emergencies, or better community planning to discourage daily driving.
Ad hominem:
This is an attack on the character of a person quite than his or her opinions or arguments. exercise :
green Peace ‘s strategies are n’t effective because they are all dirty, faineant hippies .
In this example, the writer does n’t even name finical strategies Green Peace has suggested, much less measure those strategies on their merits. alternatively, the writer attacks the characters of the individuals in the group.
Ad populum: 
This is an emotional appeal that speaks to positive ( such as patriotism, religion, democracy ) or damaging ( such as terrorism or fascism ) concepts rather than the real consequence at hand. exercise :
If you were a true american you would support the rights of people to choose whatever vehicle they want .
In this case, the generator equates being a “ true american, ” a concept that people want to be associated with, particularly in a time of war, with allowing people to buy any vehicle they want even though there is no implicit in joining between the two.

Red Herring: 
This is a diversionary tactic that avoids the key issues, much by avoiding opposing arguments rather than addressing them. exercise :
The flat of mercury in seafood may be insecure, but what will fishers do to support their families ?
In this example, the author switches the discussion away from the base hit of the food and talks alternatively about an economic return, the support of those catching fish. While one issue may affect the other it does not mean we should ignore possible base hit issues because of potential economic consequences to a few individuals.
Straw Person: 
This move oversimplifies an opposition ‘s vantage point and then attacks that hole argument .
People who do n’t support the proposed submit minimum engage increase hate the poor people .
In this example, the writer attributes the worst possible motivative to an opponent ‘s place. In reality, however, the enemy probably has more complex and charitable arguments to support their detail. By not addressing those arguments, the writer is not treating the opposition with respect or refuting their put.

From : Owl @ Purdue hypertext transfer protocol : //

Glittering Generality: 
The use of undefined, emotionally appealing virtue words that dispose us to approve something without closely examining the reasons .
Coach said to potential supporters, “ We have the greatest team always and it deserves your support. ”

Appeal to Questionable
agency : Supporting a stopping point by citing an assurance who lacks especial expertness on the topic at hand .
When questioned about the type of forcible training he was using for his players, Coach said that this type of physical prepare was recommended by Oprah Winfrey on her spill show.

Wishful Thinking: 
Making the defective assumption that because we wish X were true or false, then X is indeed true or false .
Coach says that a curfew is not needed since his players should know how to take caution of themselves physically.

Explaining by Naming: 
falsely assuming that because you have provided a identify for some event or behavior that you have besides adequately explained the event or behavior .
Coach claimed that he did not remember what the athletic director had precisely said because he had a “ senior moment. ”

Searching for Perfect Solutions: 

falsely assuming that because part of a trouble would remain after a solution is tried, the solution should not be adopted .
coach did not try to enforce the curfew because he knew that some players would not honor it.
From : hypertext transfer protocol : // % 20Materials/Logical % 20Fallacies % 20Definitions % 20and % 20Examples.htm

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