Difference between revisions of "Science and speculation"
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Speculation in scientific fields is avoided by most professionals when there is insufficient evidence to make conclusions about observed evidence. "Clever Hans" is a prime example of the importance of scientific skepticism and the importance of careful review and exhaustive testing. While many believed the horse could preform mathematics, Oskar Pfungst proved that the horse was simply reading the subtle body language of the person asking the question<ref>http://www.damninteresting.com/clever-hans-the-math-horse/</ref>. Premature conclusions are often inaccurate, and can lead to further inadequacies in future tests. | Speculation in scientific fields is avoided by most professionals when there is insufficient evidence to make conclusions about observed evidence. "Clever Hans" is a prime example of the importance of scientific skepticism and the importance of careful review and exhaustive testing. While many believed the horse could preform mathematics, Oskar Pfungst proved that the horse was simply reading the subtle body language of the person asking the question<ref>http://www.damninteresting.com/clever-hans-the-math-horse/</ref>. Premature conclusions are often inaccurate, and can lead to further inadequacies in future tests. | ||
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==References== | ==References== |
Revision as of 19:21, November 23, 2011
Scientific speculation is the premature conclusions formed without fully interpreting and checking observations and experimental procedure for possible sources of error. Speculation
Speculation in scientific fields is avoided by most professionals when there is insufficient evidence to make conclusions about observed evidence. "Clever Hans" is a prime example of the importance of scientific skepticism and the importance of careful review and exhaustive testing. While many believed the horse could preform mathematics, Oskar Pfungst proved that the horse was simply reading the subtle body language of the person asking the question[1]. Premature conclusions are often inaccurate, and can lead to further inadequacies in future tests.