Arguments from Ignorance and Personal Incredulity


The next argument scheme we will look at is what's known as the argument from ignorance. An argument from ignorance (or argumentum ad ignorantium if you want to be fancy) is one that asserts that a claim is (probably) true because there is no good evidence showing that it is false. It can also be used the other way to argue that a claim is (probably) false because there's no good evidence to show that it's true. Like any inductive argument, an argument from ignorance can be cogent or weak.

The Structure of Arguments from Ignorance

Here are a couple of cogent examples of arguments from ignorance:

There's no good evidence to show that the ancient Egyptians did have digital computers. (This evaluation comes from professional archeologists), therefore, they likely didn't have digital computers.


There's no good evidence to suppose the earth will get destroyed by an asteroid tomorrow. (This evaluation comes from professional astronomers), so we should assume it won't and plan a picnic for tomorrow.


There's no good geological evidence that there was a world-wide flood event. (This evaluation comes from professional geologists); therefore, we should assume that one never happened.

Formalizing the Argument Scheme

As you may have guessed, we can formalize the structure of the argument from ignorance:

P1: There's no (good) evidence to disprove (or prove*) the claim.
P2: There has been a reasonable search for the relevant evidence by whomever is qualified to do so.
C: Therefore, we should accept the claim as more probable than not/true.
C*: Therefore, we should reject the claim as improbable/false.

Strong and Weak Uses of Argument from Ignorance
The argument from ignorance is philosophically interesting because the same structure can be used to support both positions. The classic example is the debate over the existence of God. Let's look at how both sides can employ the argument from ignorance to try to support their respective position.

Pro-God Arg
P1: You can't find any evidence that proves that God or gods don't exist.
P2: We've made a good attempt to find disconfirming evidence, but can't find any!
C: Therefore, it's reasonable to suppose that God or gods do exist.

Vs God Arg
P1: You can't show any evidence that God or gods do exist.
P1*: Any evidence you present can also be explained through the natural laws.
P2: We've made a good attempt at looking for evidence of God's/gods' existence but can't find any! (I even looked under my bed!)
C: Therefore, it's reasonable to suppose that God/gods don't exist.

This particular case brings out some important issues we studied earlier in the course such as bias and burden of proof. Not surprisingly, theists will find the first argument convincing while atheists will be convinced by the latter. This of course brings up questions of burden of proof and target audience. When we make a claim for something's existence, is it up to the person making the claim to provide proof? Or does the burden of proof fall on the critic to give disconfirming evidence? In certain questions, your biases and world-view will pre-determine your answer.

While in the above issue, there is arguably reasonable disagreement on both sides, there are other domains where the argument from ignorance fails as a good argument. As you might guess, this will have to do with the acceptability of P1 (i.e., there is/is no evidence) and P2 (i.e., a reasonable search has been made). Most criticism of arguments from ignorance will focus on P2 since it often turns out that consideration of possible competing explanations wasn't as extensive as the arguer thinks.

Let's quickly elaborate on that last point. Arguments from ignorance are inductive and as such are probabilistic. With all inductive arguments we must consider the probability of an explanation relative to competing explanations. A poor argument from ignorance fails to fully consider possible explanations and their relative probabilities. In short, before I can say "we can't explain X therefore it was Y". I need to show that Z couldn't possibly be the explanation. If Z is a possible explanation, there is positive evidence for Z, and there is no positive evidence for Y, then the relative probabilities favor Z. To avoid getting lost in an alphabet soup, let's look at some examples:

Claim: There's no evidence to show Obama is American, therefore he isn't American.

Let's formalize the argument to evaluate it:

P1: I've encountered no good evidence to show that Obama is an American citizen.
P2: Numerous agencies and individuals trained in the search and identification of state documents have been unable to locate any relevant documents.
C: Therefore, Obama isn't American.

Notice how I've applied the principle of charity to (P1). The arguer states that "there is no good evidence". This is false. More reasonably, they simply aren't aware of it. I could have interpreted (P1) as the stronger claims "there is no good evidence that…" but we'll be charitable and accept their testimony. Regarding (P1), maybe it's true that the arguer hasn't encountered any evidence so we'll leave it alone. That said, it wouldn't be wrong to reconstruct the argument with the stronger claim (e.g., there is no good evidence that…).

Even if we are charitable with (P1), (P2) has problems. There have been reasonable searches for evidence, and that evidence was found. Perhaps, the arguer was unaware or didn't truly exert him/herself enough. The argument fails because P2 is not acceptable (i.e., false).

We can also typically find the argument from ignorance used in arguments against new (or relatively new) technologies in regards to safety or efficacy.

Example: We should ban GMO soy because we don't know what the long-term human health effects are.

P1: I've found no evidence that shows that GMO soy is safe for human consumption.
P2: Those qualified to do studies and evaluate evidence have found no compelling evidence to show that GMO soy is safe for human consumption.
C: Therefore, we should assume GMO soy is unsafe and ban it until we can determine it is safe.

If we were to criticize this argument we'd consider (P2). In fact, there have been quite a few long-term studies done by those qualified to assess safety. At this point we will have a debate over quality or reliability of the evidence. Some on the anti-GMO side dispute the reliability of the evidence. They might argue that it was funded by a company with a vested interest its reliability is questionable. However, there are also many high quality independent studies as well as a full review by the national academy of sciences.12 In a full analysis we'd consider this question in depth, but for our purposes here, we might legitimately challenge the claim that there is no available evidence purporting to demonstrate safety.

As an aside, we should recall that burden of proof can shift over time. When GMOs were first introduced, an argument from ignorance against them would have been cogent since (P2) would have been true. However, over 30 years have passed and so it is no longer true.

Notice that we can also use the argument from ignorance for the opposite conclusion: There's no compelling evidence to show that GMOs are unsafe for human consumption in the long-term, therefore, we should continue to make them available.

The "team" that wins this battle of arguments from ignorance will have much to do with our evaluation of (P2). The argument whose (P2) is most acceptable will be the more cogent argument. And since inductive arguments are probabilisitic, we should go with the one that is most likely to be true.

Final Notes on Arguments from Ignorance
We can look at arguments from ignorance as probabilistic arguments. That is, given that there is little or no evidence for an explanation, what is the likelihood that it is correct? This is especially true for claims that something does exist based on an absence of evidence for its non-existence. However, as Carl Sagan famously said, "absence of evidence is not evidence of absence." In other words, just because we can't find direct evidence for something, doesn't follow automatically that the thing or phenomena doesn't exist. There might be indirect evidence. (Of course you'd have to show this if you wanted to make this claim).

On the flip side, this style of argument can also be used to support improbable claims. Consider such an argument for the existence of unicorns or small teapots that circle the Sun: There's no positive evidence that unicorns don't exist or small tea pots don't circle the Sun, therefore we should assume they exist.

At this point we should return to the notion of probability: Given no positive evidence for these claims, what is the probability that they are true versus the probability that they aren't? It seems that, given an absence of evidence, the probability of there being unicorns is lower than the probability that they do not exist. The same goes for the teapot. In both cases, these are fair inferences because not only is there no direct positive evidence but there is no indirect evidence either.

The Null Hypothesis and Burden of Proof
Typically, we say that the burden of proof falls on the person making the existential claim. That is, if you want to claim that something exists or that some variable explains an observation, the burden is upon you to provide evidence for it, otherwise, the reasonable position is the "null hypothesis." The null hypothesis just means that we assume no entity or phenomena exists unless there is positive evidence for its existence. In other words, if I want to assert that unicorns exist, using the argument from ignorance won't do. It's not enough for me to make the claim based on an absence of evidence. This is because, we'd expect some evidence to have turned up by now if there were unicorns. That is to say, we wouldn't likely accept (P2).

This brings us to another Carl Sagan quote (paraphrasing Hume): "Extraordinary claims require extraordinary evidence." Or as Hume originally said: "A wise man proportions his beliefs to the evidence." Claiming that unicorns exist is an extraordinary claim and so we should demand evidence in proportion to the "extraordinariness" of the claim. This is why an ad ignorantium argument fails here; it doesn't offer any positive evidence for an extraordinary claim, only absence of evidence.

Another Way to Make a Cogent Argument from Ignorance: Argument by Elimination
Whenever possible, the best way to make an argument from ignorance is to make an argument from elimination. Suppose you lost your keys in your three-room apartment. You know the key in is your apartment because you had to unlock the door to get in. You didn't go into one of the rooms. You thoroughly searched the second room. You can now reasonably conclude that your key is in the third room.

In other words, if you systematically eliminate all competing hypothesis, you can reasonably argue for the remaining one by indirect evidence.

Argument from Personal Incredulity


The argument from personal incredulity is a subspecies of argument from ignorance. It looks like this:

P1. I find X implausible.
C. Therefore, X is false or implausible.

To see how weak this kind of argument is we can make the argument valid by including the missing premise (recall enthymemes!):

P1. I find X implausible.
P2. If I find something implausible then it is either false or implausible.
C. Therefore X is implausible.

It doesn't take much to see why this is a weak argument. Arguments from personal incredulity are usually used by people who are non-experts arguing against a standard scientific view. That fact that a non-expert can't understand the reasoning and evidence of experts is no argument against the plausibility of a claim.

Perhaps the most common use of the argument from personal incredulity is used by conspiracy theorists and creationists.

Example: I simply cannot believe that humans came from monkeys/bacteria, etc… Implied conclusion: Therefore, the theory of evolution must be false.

The fact that a non-expert in evolutionary biology cannot understand or believe a theory that took 100s of history's most intelligent humans to discover and verify is no argument against the theory.

As a general rule, on matters scientific if your views are contrary to what experts believe, assume it's you making the mistake. This is called "epistemic humility". To illustrate, imagine you get a question graded wrong on a test in chemistry, biology, math, etc…. What is more likely: You got the wrong answer or you're right and your professor doesn't know his discipline?

Notice again, this is a probabilistic problem. It is possible that you are right and your professor is wrong. I tellin' you there's a chance! But is that outcome more likely than the alternative? I.e., That your professor is right and you didn't know the answer? That latter is much more probable…

Anomaly Hunting:
For any complex event there will be details and artifacts that, for someone with limited and indirect knowledge of the event, will appear to be strange or out of place. Looking for these anomalies then insinuating they are "evidence" for or against some hypothesis is know as anomaly hunting. Often anomaly hunting, arguments from ignorance and personal incredulity work hand in hand.

Many conspiracies rely on anomaly hunting. Here are some famous examples:

1. The JFK assassination and the Umbrella Man:

Despite the long-ago debunking of umbrella man, conspiracy theorists cling to this anomaly as "evidence" that there's something fishy with the "official story"

2. The Boston Marathon Roof Man Roof Man
Another debunking: Man on the Roof

Putting it all together:


The important lesson can be distilled into the same lesson I've been repeating since we started learning about inductive reasoning: Inductive arguments are probabilistic and as such must be evaluated relative to competing hypotheses and explanations. Pointing to an anomaly or citing a lack of evidence on their own don't usually constitute positive evidence for anything — unless they are part of an argument by elimination. They are, however, sometimes reasons to challenge existing explanations if they can't reasonably account for the anomaly. That said, an anomaly or lack of evidence does nothing to explain the event or phenomena we seek to explain and so usually cannot be used to support a particular positive conclusion.

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