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What are the benefits and drawbacks of self-serving biases? Also, provide two examples of self-serving bias and explain how the examples are adaptive or maladaptive
self serving bias is a cognitive bias which tends to enhance the ego and self confidence of an individual, through a variety of processes. [ Many people demonstrate self serving bias on some level or another, since most people have a desire to be successful, strong individuals. Comparing yourself favorably over others: "I'm a much better and smarter student than my classmates. I study infinitely
harder and deserve a better grade." Attributing our success based on your abilities rather than external factors: "I earned an A on my calculus exam because I studied hard. I received a C on my chemistry exam because it was very difficult." Being optimistic despite realistic outcomes: "Although less than 10% of applicants get accepted into Harvard, I believe I'll get in with ease." False consensus: "Everyone supports my idea that marijuana is beneficial." ]
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Is saying wealthy people are thin a causation or correlation?
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Updated 12/1/2011 8:52:20 AM
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Saying wealthy people are thin is a correlation.
Added 12/1/2011 8:52:20 AM
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Ice cream melts when heated. Is this statement classified as causation or correlation?
Weegy: Ice cream melts when heated. This statement is classified as a causation. (More)
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Asked 12/1/2011 8:30:14 AM
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People with long hair do better on audio memory tests. Is this statement classified as causation or correlation?
Weegy: People with long hair do better on audio memory tests. This statement is classified as a correlation. (More)
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Asked 12/1/2011 8:28:13 AM
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wealthy people are thin. Is this statement classified as a causation or correlation?
Weegy: i think it's correlation. wealth does not cause/control weight. (More)
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Asked 12/1/2011 8:24:09 AM
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Compare and contrast causation and correlation
Weegy: What is the difference between causation and correlation? One of the most common errors we find in the press is the confusion between correlation and causation in scientific and health-related studies. [ In theory, these are easy to distinguish — an action or occurrence can cause another (such as smoking causes lung cancer), or it can correlate with another (such as smoking is correlated with alcoholism). If one action causes another, then they are most certainly correlated. But just because two things occur together does not mean that one caused the other, even if it seems to make sense. Unfortunately, our intuition can lead us astray when it comes to distinguishing between causality and correlation. For example, eating breakfast has long been correlated with success in school for elementary school children. It would be easy to conclude that eating breakfast causes students to be better learners. It turns out, however, that those who don’t eat breakfast are also more likely to be absent or tardy — and it is absenteeism that is playing a significant role in their poor performance. When researchers retested the breakfast theory, they found that, independent of other factors, breakfast only helps undernourished children perform better. Many many studies are actually designed to test a correlation, but are suggestive of “reasons” for the correlation. People learn of a study showing that “girls who watch soap operas are more likely to have eating disorders” — a correlation between soap opera watching and eating disorders — but then they incorrectly conclude that watching soap operas gives girls eating disorders. In general, it is extremely difficult to establish causality between two correlated events or observances. In contrast, there are many statistical tools to establish a statistically significant correlation. source: stats.org/in_depth/faq/causation_correlation.htm ] (More)
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Asked 12/1/2011 8:37:57 AM
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