What area of research should not be funded and why? <1500 Characters>
Why do we fund research to begin with? A cardinal impulsive force must exist that compels us to do so. Most logically it is our desire to find the truth and produce new knowledge. Any area of research that produces knowledge already obtained or which leads to incomplete or false knowledge is worthless and should not be funded. In all of my experiences this area has been studies chiefly based on statistics. While statistics can prove useful on many occasions it is often misused, misleading and meaningless. There are several methods in which accidentally or for the gain of the perpetrator false information can be produced by implementing statistics. For example, a tooth paste company funds a statistical study to convince buyers that their tooth paste whitens teeth. Coincidentally, 9 out of the 10 people who were surveyed report that indeed the paste did so. This statistic would leave people believing that the paste actually works, when the researchers could have simply selected 10 people with already white teeth. Other such studies conclude that one variable causes the change in another just because a correlation exist between the two. These false statistics, believed by many can be quite detrimental in the quest for the truth and new knowledge. Instead of funding statistical studies such as these the money should be spent on controlled experiments that produce results that are both precise and accurate. Only then could the results be established as the truth and new knowledge.
Why do we fund research to begin with? A cardinal impulsive force must exist that compels us to do so. Most logically it is our desire to find the truth and produce new knowledge. Any area of research that produces knowledge already obtained or which leads to incomplete or false knowledge is worthless and should not be funded. In all of my experiences this area has been studies chiefly based on statistics. While statistics can prove useful on many occasions it is often misused, misleading and meaningless. There are several methods in which accidentally or for the gain of the perpetrator false information can be produced by implementing statistics. For example, a tooth paste company funds a statistical study to convince buyers that their tooth paste whitens teeth. Coincidentally, 9 out of the 10 people who were surveyed report that indeed the paste did so. This statistic would leave people believing that the paste actually works, when the researchers could have simply selected 10 people with already white teeth. Other such studies conclude that one variable causes the change in another just because a correlation exist between the two. These false statistics, believed by many can be quite detrimental in the quest for the truth and new knowledge. Instead of funding statistical studies such as these the money should be spent on controlled experiments that produce results that are both precise and accurate. Only then could the results be established as the truth and new knowledge.