Friday, April 30, 2021

Human Perception in Beauty, Business, and Government

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Human Perception in Beauty, Business, and Governmen.


How you perceive beauty can affect with whom you choose to live your life. Additionally, others perception of you and their biases can affect what kind of life society allows you to live. Perception and bias also effects your working relationships with coworkers and clients. Risk perception can result in possibly unnecessary government regulations that cost a lot of money. Perceptions and biases can have diverse effect on different aspects of current American life.


Beauty may only be skin-deep, but research suggests that beauty can help you become more successful by using people's perceptions and biases. In his article, Charles Feng describes what the beauty ratio is and how it affects people's perception of you. Feng describes how, in ancient Greece, philosophers sought the source of beauty. Plato thought the source to be in the proportions of human faces (Feng, 00, para ). Modern investigators are discovering that not only is it proportions, but that symmetry of the human face can also greatly affect how people gauge the beauty of a face. Body proportion and the waist-to-hip ratio (WHR) can also cause positive and negative perceptions. In his research, the author found "that the hourglass-body standard of beauty in women, previously thought to be `universally preferred, was in fact likely swayed by advertising" (Feng, 00, para 18). In his study of human faces, the researcher discovered that women's preferences for male faces varied dependant on which part of the menstrual cycle they were. Menstruating women preferred "soft-featured male" (Feng, 00, para 1) faces, to hard masculine faces. Within the animal kingdom, Feng points out that, "Female swallows . . . prefer males with longer and more symmetric tails, while female zebra finches mate with males with symmetrically colored leg bands" (Feng, 00, para 7). While most of his arguments relate to Western civilization, the animal kingdom analogies point to a possible evolutionary cause for bias towards perceived beauty. Specifics may vary across cultures, but the similarities of perceived beauty across cultures also indicate an evolutionary advantage for beauty. One possibility that Feng mentions is that facial symmetry relates to efficient immunity and strong genes. In times of survival, those with a symmetrical face would more easily stand the test of evolution and procreate successfully (Feng, 00, para 8). In life, perceptions of beauty can make you prosperous; while in business, you must negotiate perceptions and biases to your advantage in order to prevail.


In his article, Todd Schraml describes the inherent problems in business with communication and perceptual listening. He describes what happens as we listen to others, "we delete, distort, and generalize that incoming data" (Schraml, 00, para ). Based on our personal perceptions and biases, we absorb different information than anyone else receiving the same information. The author takes this to the business world by describing how perceiving different information can cause problems when trying to supply a specialized product to a customer. He uses the example of the color purple in his analogies. In different situations, the interpretation of perceived information can have surprisingly different results. When talking about a pretty flower, the interpretation of the color may not have any deep significance. Yet, when specifying a color for a product, differences in interpretation can have a negative result. Giving specific information and examples when possible is the best way to overcome the differences in perception that result in poor communication. In business and government, it is best to ensure you and the person you are communicating with are sharing and receiving the same information.


Cheap College Papers on Human Perception in Beauty, Business, and Government


In an article for the Cato Institute publication, Regulation, the editor discusses American Government policies for safety. The editor drew his information from a 11 Cato Institute conference during which many risk analyst experts presented their papers. The risk analysts and their papers covered a broad range of topics from health, to the environment, and automobile safety. A problem identified by the editor was the issue of media and its affects on the public's demand for safety regulations. "Few dimensions of modern life reflect a larger divergence between the perceptions that affect government policy and the available evidence than those that bear on the safety and health of the American population" (Viskanen, 11, Para 1). Examples brought up were the chemicals found in the soil at Love Canal and Times Beach, radiation from Three Mile Island, and pesticides in food. The editor felt that the environmental contamination of these locations, which brought about heavy policy changes in the U.S. Government, did not actually pose any actual health risks for the people exposed to them. He claimed that "Chemicals in the environment account for only about percent of the avoidable (non-genetic) incidents of cancer" (Viskanen, 11, Para ). Michael Gough, a microbiologist cited in this article, claimed that "if we eliminate all of the carcinogens that EPA can regulate, we will see no improvement in cancer rates" (Viskanen, 11, para 4). The media's blasting of so-called risky behaviors has prompted much government regulation that can become very costly. The Cato Institute's conference held three themes. The first theme involved individual perceptions of risk compared to true risk. When availability heuristics are involved, and an individual has experienced an event; an individual's perception of risk for that event tends to be accurate. Once the media or government warnings are involved though, biases occur in individual perceptions of risks. The editor goes on to claim that when an individual pays the costs of a risk-reducing behavior, their perception of the risk tends to be more accurate than when they do not pay the cost. This lead to the definition of the value of a life within the realm of statistics to be between $ million and $10 million (Viskanen, 11, para 5). The second theme revealed at the conference was the inconsistencies of government health and safety programs. The EPA requires a $100 million per statistical life cost for environmental carcinogen regulations. While highway design solutions, which cost less than $1 million per statistical life saved, are not put into practice. The third theme of the conference involved where the government, media, and the public get their evidence for the risks associated with behaviors (Viskanen, 11, para 6). This article brings into question the policies made by the U.S. Government for the public's health and safety. It also brings up some interesting questions about the cost of human life and what statistics to use when calculating the efficacy of a new policy or regulation. It all comes down to perception of risk in life. Everyone has a different perception of the risk of an activity. The U.S. Government strives to regulate people or activities to reduce a perceived risk. The American population requests that regulation by the government due to the media telling them it is a risky behavior. The ultimate question generated by this article is who determines risks and their consequences.


Everyday encounters are greatly influences by your personal perceptions and biases. Many times in life, reality is perception. As you experience life at home and work, it is important to note any biases you bring to the encounter. Once identified these biases can be worked on and minimized. It also helps to be a clear communicator and good listener. Reducing biases and errors in perception can help to reduce conflict in all aspects of life. Awareness of personal biases can also aid you in experiencing more in life as you allow yourself to engage in more opportunities. Reference.Feng, C. (00. December). Looking good The psychology and biology of beauty. Journal of Young Investigators, 6(December 00 edition). Retrieved July 1, 00 from http//www.jyi.org/issues/issue6/features/feng.htm.Schraml, T. (00, October). Ambiguity makes gathering data knowledge a district challenge. Database Trends and Applications Database Elaborations. Retrieved July 1, 00 from http//www.dbta.com/columnists/todd_schraml/database_elaborations_100.htm.Viskanen, W. (11, Fall). Making sense of safety [Electronic Version]. Regulation, 14(4). Retrieved July 1, 00, from http//www.cato.org/pubs/regulation/reg14n4-niskanen.html.


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