I'm currently practicing my AWA writing technique and thought I would post my response on this example. It took me about 23 minutes. Open to critique!
The author’s argument that some of the city’s funds for supporting the arts should be reallocated to public television is flawed. In drawing this conclusion, the author fails to acknowledge the fundamental difference between percentage values, and real, numerical quantities. Furthermore, the author not only bases this conclusion on faulty assumptions, he/she maintains that a mere correlation is in fact a viable confirmation of causation. Lastly, it is also quite problematic that the author presupposes that the cutting of funds will have a linear impact on all tv programming that was mentioned.
In the argument, the author presents a conclusion that is based on a mere correlation without taking into account any other stimuli that may have accounted for the relationship between television programmes and museum attendance. The author maintains that due to the fact that 15% more residents watched visual art programmes on TV, and because a similar trend in art museum attendance was established, these two instances are related. One cannot assume such a relationship based merely on the events themselves. The author goes on to assume another problematic relationship whereby he/she maintains that the attendance rate at the city’s art museums will decrease as the visual art programs will be cut. This is not a definitive cause for concern. Since the author does not provide any support beyond this correlation, it is rather difficult to conclude that the city should fund public television in an attempt to save their art museums. If, for instance, the author mentioned that there were something that connected the two cohorts of people who watch arts shows and go to museums, then the conclusion would be more viable. It would however, have to be more concrete than mere coincidental percentages.
The author also uses vague language that weakens the conclusion of the passage. Discrepancies and inconsistencies in the author’s use of percentages vs. Numerical quantities is problematic. They use the fact that “15 percent more residents said that they watch television programs about the visual arts than was the case in a poll conducted five years ago.” Then they go on to note that, “During these past five years, the number of people visiting our city’s art museums has increased by a similar percentage.” These two examples are not quantifiable to the same degree and hence, add doubt to the viability of the conclusion.
Finally, the author mentions that public tv is, “…where most of the visual arts programs appear.” This is problematic in that it seems to be representing the main and only source of tv programming as it alone seems to account for the relationship in the conclusion. However, this is incorrect to assume. The word “most” leaves room to infer that there may be other visual art tv programs. Perhaps these programs are far more impactful? Perhaps these programs will not be impacted by the aforementioned cuts? The conclusion will not hold based on these possible outcomes.
In summary, the author presents a number of faulty assumptions that leave room for problematic potential scenarios that would destroy the argument’s conclusion. The author fails to differentiate between key factors such as numerical and percentage points, correlatory and causatory evidence, as well as mere coincidental events that lack solid proof. It is extremely difficult to take the conclusion as fact as the author has not presented enough true evidence to support the claim that people merely watching a tv show about art, will be compelled to go to art museums based on that fact alone. Due to these issues, this argument is indeed, quite flawed.