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Essay / Research Paper Abstract
This 3 page paper examines whether or not governments and corporations lie about the pollution they create. Bibliography lists 3 sources.
Page Count:
3 pages (~225 words per page)
File: RT13_SA846env.rtf
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Unformatted sample text from the term paper:
not an easy question to answer. After all, there is some truth and some non-truths to come from politicians and industry leaders at any given moment. In general, industry leaders
may lie, or fudge numbers, in order to place their businesses in a better light. It is part of positive publicity. For example, tobacco industry insiders will find studies that
do not show harmful effects of tobacco, but the public realizes that they are only providing half-truths. Sometimes, the government provides information that is not completely honest. An example of
the government telling lies about pollution comes shortly after 9/11. The terrorist attacks changed everything, but there had been lingering concerns about the pollution that the devastating building collapse left
in downtown New York City. Garrett (2003) reports that shortly after the terrorist attacks, the White House did prompt the EPA to provide misleading information to the public. The
EPA would tell the people that it was okay to breathe the air, when they did not have credible information on air quality for that day (Garrett, 2003). What happened
exactly was that while the EPA did not tell outright lies, cautionary information was not provided (Garrett, 2003). Only reassuring data was allowed to be dispersed (Garrett, 2003). In the
United Kingdom, there has been attention also to misleading information being provided. Kirkwood & Longley (1994) explain that the RCEP claims that certain measurements provided gives a misleading idea that
there is more clean water than there really is. There are ways that one can measure pollution and by using a sample that is expected to be cleaner than average,
and ignoring the dirty areas, one will come up with misleading information. Many nations around the world fudge numbers and use favorable data as opposed to looking at the
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