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Logical Fallacies

Round-Trip Fallacy (Confusion of the Inverse)

The round-trip fallacy is a logical error where people treat "most X are Y" as equivalent to "most Y are X", often leading to stereotyping and misinterpretation of probabilities.

THE IDEA

I have so much evidence—Can Zoogles be (sometimes) Boogles?—Corroboration shmorroboration—Popper’s idea

As much as it is ingrained in our habits and conventional wisdom, confirmation can be a dangerous error.

Assume I told you that I had evidence that the football player O. J. Simpson (who was accused of killing his wife in the 1990s) was not a criminal. Look, the other day I had breakfast with him and he didn’t kill anybody. I am serious, I did not see him kill a single person. Wouldn’t that confirm his innocence? If I said such a thing you would certainly call a shrink, an ambulance, or perhaps even the police, since you might think that I spent too much time in trading rooms or in cafés thinking about this Black Swan topic, and that my logic may represent such an immediate danger to society that I myself need to be locked up immediately.

You would have the same reaction if I told you that I took a nap the other day on the railroad track in New Rochelle, New York, and was not killed. Hey, look at me, I am alive, I would say, and that is evidence that lying on train tracks is risk-free. Yet consider the following. Look again at Figure 1 in Chapter 4; someone who observed the turkey’s first thousand days (but not the shock of the thousand and first) would tell you, and rightly so, that there is no evidence of the possibility of large events, i.e., Black Swans. You are likely to confuse that statement, however, particularly if you do not pay close attention, with the statement that there is evidence of no possible Black Swans. Even though it is in fact vast, the logical distance between the two assertions will seem very narrow in your mind, so that one can be easily substituted for the other. Ten days from now, if you manage to remember the first statement at all, you will be likely to retain the second, inaccurate version—that there is proof of no Black Swans. I call this confusion the round-trip fallacy, since these statements are not interchangeable.

Such confusion of the two statements partakes of a trivial, very trivial (but crucial), logical error—but we are not immune to trivial, logical errors, nor are professors and thinkers particularly immune to them (complicated equations do not tend to cohabit happily with clarity of mind). Unless we concentrate very hard, we are likely to unwittingly simplify the problem because our minds routinely do so without our knowing it.

It is worth a deeper examination here.

Many people confuse the statement "almost all terrorists are Moslems" with "almost all Moslems are terrorists." Assume that the first statement is true, that 99 percent of terrorists are Moslems. This would mean that only about .001 percent of Moslems are terrorists, since there are more than one billion Moslems and only, say, ten thousand terrorists, one in a hundred thousand. So the logical mistake makes you (unconsciously) overestimate the odds of a randomly drawn individual Moslem person (between the age of, say, fifteen and fifty) being a terrorist by close to fifty thousand times!

The reader might see in this round-trip fallacy the unfairness of stereotypes—minorities in urban areas in the United States have suffered from the same confusion: even if most criminals come from their ethnic subgroup, most of their ethnic subgroup are not criminals, but they still suffer from discrimination by people who should know better.

"I never meant to say that the Conservatives are generally stupid. I meant to say that stupid people are generally Conservative," John Stuart Mill once complained. This problem is chronic: if you tell people that the key to success is not always skills, they think that you are telling them that it is never skills, always luck.

Our inferential machinery, that which we use in daily life, is not made for a complicated environment in which a statement changes markedly when its wording is slightly modified. Consider that in a primitive environment there is no consequential difference between the statements most killers are wild animals and most wild animals are killers. There is an error here, but it is almost inconsequential. Our statistical intuitions have not evolved for a habitat in which these subtleties can make a big difference.

When to use it

  • In medical diagnostics, a positive test result for a rare disease is often misinterpreted as a high probability of having the disease, ignoring the low base rate (e.g., 99% sensitivity but only 1% prevalence).

  • In hiring decisions, assuming that because most successful employees have a certain degree or background, that degree or background strongly predicts success, leading to overlooked candidates.

  • In criminal justice, conflating 'most criminals come from a certain demographic' with 'most members of that demographic are criminals' fuels prejudice and unfair profiling.

  • In investing, seeing a few successful stock picks and concluding that a strategy always works, ignoring the many failures that are not observed.

FROM THEORY TO EVERYDAY LIFE

In practice

01

Terrorists and Moslems

Many people confuse the statement 'almost all terrorists are Moslems' with 'almost all Moslems are terrorists.' If 99% of terrorists were Moslems, that would only mean about 0.001% of Moslems are terrorists, but the confusion leads to a huge overestimate of the risk from a randomly selected Moslem person.

02

Turkey and Black Swans

Observing a turkey's first thousand days provides no evidence of Black Swans (large, rare events). People often confuse 'no evidence of possibility' with 'evidence of no possibility,' believing that because no disaster has occurred, it never will.

03

John Stuart Mill on Conservatives

Mill said, 'I never meant to say that the Conservatives are generally stupid. I meant to say that stupid people are generally Conservative.' Reversing the direction of the claim would commit the round-trip fallacy.

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A MOMENT TO REFLECT

Put it to work.

  1. Think of a common stereotype in your culture. How might the round-trip fallacy contribute to its persistence?

  2. Describe a situation where you confused a lack of evidence for an effect as evidence of no effect. What were the consequences?

  3. Why is it important to distinguish between 'most X are Y' and 'most Y are X' in risk assessment and policy making?

Connected ideas

Another lens can bring the same problem into focus.

CONTINUE THE CONVERSATION

Source texts

  • The Black Swan The Impact of the Highly Improbable With a new section On Robustness and Fragility (Nassim Nicholas Taleb)
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