I can recall studies quoted on different news broadcasts where correlations seemed to be given higher strength than what sounded correct. Specifically, in the context of financial statistics, a local broadcast show was discussing fiscal issues within the county and had created a cause/effect that I felt was skewed in favor of minority job decreases in small business, and the direct impact on the local tax revenue due to it. The correlation that had been skewed as it the broadcaster did not mention that the rise of jobs in small business had in fact decreased within the country, thereby effecting now than minorities and greatly affected tax revenue from not only lack of jobs, but also businesses that had shut down as well. This misinformation becomes rampant thought of truth which can cause a greater effect on the community as a whole. This among many comes to mind, that showing a direct cause and effect utilizing only two variables can lead to further issues down the road when giving information out to the general populace, thereby creating a large social impact that might not have been present had it not been for that lack of all variables being presented in the first place.
I can recall studies quoted on different news broadcasts where correlations seemed to be given higher strength than what sounded correct
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