GRE写作官方题库高频ARGUMENT题目满分范文分享：reduce on-the-job accidents
- 2020年04月29日15:47 来源：小站整理
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The following appeared in a memo from a vice president of Quiot Manufacturing:
“During the past year, Quiot Manufacturing had 30 percent more on-the-job accidents than at the nearby Panoply Industries plant, where the work shifts are one hour shorter than ours. Experts say that significant contributing factors in many on-the-job accidents are fatigue and sleep deprivation among workers. Therefore, to reduce the number of on-the-job accidents at Quiot and thereby increase productivity, we should shorten each of our three work shifts by one hour so that employees will get adequate amounts of sleep.”
Write a response in which you examine the stated and/or unstated assumptions of the argument. Be sure to explain how the argument depends on these assumptions and what the implications are for the argument if the assumptions prove unwarranted.
This editorial recommends that Quiot Manufacturing reduce its work shifts by one hour each in order to reduce its on-the-job accident rate and thereby increase productivity. To support this recommendation the author points out that last year the number of accidents at Quiot was 30% greater than at Industries plant, where work shifts are one hour shorter. The author also cites expert reports which indicate fatigue and sleep deprivation are major causes of accidents. There are several reasons why this argument for a one-hour reduction in work time per shift is not convincing.
First and foremost, the author provides absolutely no evidence that overall worker productivity is attributable in part to the number of on-the-job accidents. While common sense tells us such a relationship exists, the author must provide some evidence of this cause-and-effect relationship before I can accept the author's final conclusion that the proposed course of action would in fact increase productivity.
Thirdly, assuming that Quiot’s workers are fatigued or sleep-deprived, in order to accept the author's solution to this problem we must assume that Quiot’s workers would use the additional hour of free time to sleep or rest. However, the author provides no evidence that they would use the time in this manner. It is entirely possible that Quiot’s workers would use that extra hour to engage in some other activity—binge drinking, for example, which could increase the overall rate of accidents on the job. Without ruling out this possibility the author cannot convincingly conclude that his proposal will have the desired effects.
Finally, a series of problems with the argument arise from the scant statistical information on which it relies. In comparing the number of accidents at Quiot and Panoply, the author fails to consider that the per-capita accident rate. Second, perhaps accident rates at the two companies last year were aberrations. Or perhaps Panoply is not representative of industrial companies in generally and that other companies with shorter work shifts have even higher accident rates. In short, since the argument relies on very limited statistical information, an audience should not take a recommendation based on it.