An argument may not have obvious exceptions, but we should still ask whether it gives enough evidence to convince us of the claim. The reason is the foundation of the argument: is the foundation secure? In some cases we may suspect that some part of the reason is not true, and in others we may simply want to note that little or no evidence has been offered. For example, the border argument we have examined makes two claims without any evidence: “Completely open borders would put our security at risk” and “There are ways to regulate the border without criminalizing people."
The evidence may lack substance (circular reasoning)
Sometimes a reason given is not really a reason at all, just a repetition of the claim itself in different words. In effect, the writer asks us to believe an idea because of that very same idea. This is called circular reasoning or "begging the question."
For example, consider the following argument:
Anyone born in the United States has a right to citizenship because citizenship rights here depend on birth, not ethnicity or family history of immigration.
The idea that “anyone born in the United States has a right to citizenship” and the idea that “citizenship rights here depend on birth” are really one and the same. We still need a reason to accept this focus on birth as the determining factor.
Circular reasoning is often not deliberate. In reaching to explain the reason for a deeply held belief, a writer may end up summarizing that belief again in a different way. Other times the writer may knowingly perform this sleight of hand, hoping the reader will not notice. In either case, the argument lacks substantive support.
We can critique circular reasoning with phrases like the following:
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The argument presents _____________ as a reason to believe _____________, but this supposed reason is just a rewording of the claim.
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The writer provides no real justification for the idea that _____________; to convince us they just repeat that idea with different phrasing.
The evidence may not be representative (hasty generalization)
Most academic arguments explore evidence in the form of specific examples, facts, statistics, testimonials, or anecdotes in order to arrive at a general conclusion. This is called inductive reasoning.
If an argument gives evidence, we need to know if the evidence is enough. A few examples may not be representative of a general pattern. If the argument makes a sweeping generalization based on one or two anecdotes or solely on the writer's own experience, it can be considered a hasty generalization.
How do we decide when the evidence is enough? The science of statistics addresses this question in very specific, technical ways that are worth learning but beyond the scope of this book. Often, however, an intuitive assessment will be enough. We all probably already guard against this fallacy when we search online for products that have been reviewed many times. Clearly one five-star review could be a fluke, but 2,000 reviews averaging 4 1/2 stars is a more reliable indicator.
People who deny that global warming is a genuine phenomenon often commit this fallacy. In February of 2015, the weather was unusually cold in Washington, DC. Senator James Inhofe of Oklahoma famously took to the Senate floor wielding a snowball. “In case we have forgotten, because we keep hearing that 2014 has been the warmest year on record, I ask the chair, ‘You know what this is?’ It’s a snowball, from outside here. So it’s very, very cold out. Very unseasonable.”
Senator Inhofe commits the hasty generalization fallacy. He’s trying to establish a general conclusion—that 2014 wasn’t the warmest year on record, or that global warming isn’t really happening. But the evidence he presents is insufficient to support such a claim. His evidence is an unseasonable coldness in a single place on the planet, on a single day. We can’t derive from that one example any conclusions about what’s happening, temperature-wise, on the entire planet, over a long period of time. The claim that the earth is warming is not a claim that everywhere, at every time, it will always be warmer than it was. The claim is that, on average, across the globe, temperatures are rising. Cold snaps can happen even if temperatures are rising.
A particularly damaging example of the hasty generalization fallacy is the development of negative stereotypes. Stereotypes are general claims about religious or racial groups, ethnicities and nationalities. Even if we do have evidence that a certain trait is more common among people of one ethnicity, we still cannot assume that a particular individual of that ethnicity will have the trait.
A specific form of hasty generalization is when an author will point to a lack of evidence as a sign that no evidence is out there. This fallacy is often called appeal to ignorance because the arguer is citing their own lack of knowledge as the basis for their argument.
For example, consider the following: “No one I know has heard about any anti-Asian violence lately; therefore, reports of such violence are exaggerated.” The speaker and their acquaintances may simply not have come in contact with the people who have experienced such incidents of violence.
Absence of evidence can sometimes tell us something useful. It may be a reason to doubt the conclusion even if it doesn't disprove it. During the 2016 presidential campaign, reporter David Fahrenthold took to Twitter to announce that despite having “spent weeks looking for proof that [Donald Trump] really does give millions of his own [money] to charity...” he could only find one donation, to the NYC Police Athletic League. Trump has claimed to have given millions of dollars to charities over the years. Does this reporter’s failure to find evidence of such giving prove that Trump’s claims about his charitable donations are false? No. To draw such a conclusion relying only on this reporter's testimony would be to commit the fallacy.
However, the failure to uncover evidence of charitable giving does provide some reason to suspect Trump’s claims may be false. How much of a reason depends on the reporter’s methods and credibility, among other things. In fact, Fahrenthold subsequently performed and documented in the Washington Post on 9/12/16 a rather exhaustive unsuccessful search for evidence of charitable giving, providing strong support for the conclusion that Trump didn’t give as he’d claimed.