In the second place, the argument commits a logic1 fallacy of after this and therefore because of this. In no case can the mere2 fact that be cited as evidence to support the assumption that there is a causal-effect relationship between A and B. Moreover, that just because B can be statistically3 correlated with A does not necessarily mean that A is the cause of B. In fact, the author has obviously neglected the possibility of other alternative facts such as, or may contribute to a certain extent to B. It may be only a coincidence that . Unless the author can rule out other factors relevant to , this assumption in question can not be accepted.
In the third place, the evidence that the author provides is insufficient4 to support the conclusion drawn5 from it. One example is rarely sufficient to establish a general conclusion. Unless the arguer can show that A1 is representative of all A, the conclusion that B is completely unwarranted. In fact, in face of such limited evidence, it is fallacious to draw any conclusion at all.
In the fourth place, the argument has also committed a false analogy fallacy. The argument rests on the assumption that A is analogous6 to B in all respects, and the author assumes without justification7 that all things are equal, and that the background conditions have remained the same at different times or at different locations. There is, however, no guarantee that this is the case. Nor does the author cite any evidence to support this assumption. Lacking this assumption, the conclusion that is entirely8 unfounded. In fact, it is highly doubtful that the facts drawn from B are applicable to A. Differences between A and B clearly out weight the similarities, thus making the analogy highly less than valid9. For example, A..., however, B.... Thus, it is likely much more difficult for B to do....
In addition, the conclusion unjustifiably relies on the poll while the validity of the survey itself is doubtful. The poll cited by the author is too vague to be informative10. The claim does not indicate who, when, how and by whom the survey is conducted, neither does it mention what is the sample size, or how the samples are selected. Until these questions are answered the results are worthless as evidence to support that.
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