I found this part of the cause and effect concept very interesting, because in most science research papers it is necessary to support your arguments with statistics and/or published research. Stating an argument like ‘steroids causes change in behavior’ is not enough, you must support your argument by expanding the claim with verifiable data. A regular cause and effect claim argues that one person, thing, or event caused another thing or event to occur; a c/e in population points to evidence to show a greater chance of cause and effect and gives a conclusion using statistical data. ‘People who continue to use anabolic steroids in intervals of _______ (# of dosage) for more than ______ (period of time), run the risk of severe mood alternation and addiction’. This type of argument can be done one of three ways: 1) a controlled experiment using a control group (one group gets steroids, the control group does not) 2) an uncontrolled experiment using representative samples of population groups to determine cause = effect (monitor a group of people who are work/live/ in the same environment – who uses/shows effects and who doesn’t use/show effects) and 3) an uncontrolled experiment using representative samples of population groups to determine how effect = cause (look at individuals who show effects (addiction, behavior) and analyze common thread for occurrence (steroid use, smoking, drinking, etc).
Hi there! That is a very interesting post you have there! I have never thought that the cause and effect was used in science specially when it comes to count the number of people on earth. Like you said there are many cause and effect when it comes to death. The reason why people die could be because of smoking, not eating well, natural diseases or other common causes. The effect of smoking is that people get cancer , the effects of eating disorder is either getting too fat or too thin, or the cause of living in a polluted place can result as problem breathing, or lung disease.
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