Logical Fallacy of Self-Selected Biased Sample
Self-selected biased sample is one of the many smokescreens that are used to cover the fact that the reasoning is based on one of the three fallacies of Agrippa's trilemma. Whenever a logical fallacy is committed, the fallacy has its roots in Agrippa's trilemma. All human thought (without Divine revelation) is based on one of three unhappy possibilities. These three possibilities are infinite regress, circular reasoning, or axiomatic thinking. This problem is known as Agrippa's trilemma. Some have claimed that only logic and math can be known without Divine revelation; however, that is not true. There is no reason to trust either logic or math without Divine revelation. Science is also limited to the pragmatic because of the weakness on human reasoning, which is known as Agrippa's trilemma.
The Logical Fallacy of Self-Selected Biased Sample occurs when return of a survey is voluntary, resulting in a biased sample with those people with strong feeling being over-represented (since these are the ones who are more likely to complete the survey). Internet surveys, texting polls, or phone polls are great for this, and those who want to sway the poll actively recruit people to take the survey. Certain people are less likely to cooperate with a phone survey. People taking surveys door to door are less likely to enter certain neighborhoods.
Examples of the Logical Fallacy of Self-Selected Biased Sample
- Web Survey
- Text your survey answer to . . .
- Twitter Pole
- Give your answer via cellphone. Make your voice be heard.
"The President certainly has a mandate from the people. He was elected by an overwhelming majority of 52% of voters. That means that they will stand behind him no matter what kind of radical and irresponsible actions he takes."
Elections are not indicators of what the majority people want. They are often indicators of the quality and quantity of political tricks.
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Last updated: Sep, 2014
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Logical Fallacy of Misused Statistics
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Logical Fallacy of Biased Statistics / Biased Statistics / Loaded Sample / Prejudiced Statistics / Prejudiced sample / Loaded Statistics / Biased Induction / Biased Generalization / Unrepresentative Sample / Unrepresentative Generalization
Logical Fallacy of Generalizing from a Hypostatization
Logical Fallacy of Error in Sampling
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Logical Fallacy of Self-Selected Biased Sample
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