Open Lie detection Bond and DePaulo, 2006

Catch the lie.

Eight rounds of three surprising facts: in each round two are true and one is a lie. Pick the lie and say how sure you are. At the end you see sources for the truths and what fooled the crowd most.

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EXP. 062

Of three surprising facts, two are true and one is a lie. How often can you catch the lie?

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Science box

People catch liars only slightly better than chance. Our default is to believe; and suspicion often lands on facts that are surprising but true.

What we measure

We turn the classic “two truths and a lie” game into a lie-detection experiment. In each of eight rounds you see three facts: two are true and sourced, one is a plausible lie we wrote. The round topics are fixed (living things, science, history, words, the human body, firsts and records, nature, the world); each topic’s round is drawn from a pool by the game’s seed, and the order of the facts on screen is shuffled. You tap the fact you think is the lie, then say how sure you are (not sure, fairly sure, very sure). At the end of each round you see the answer right away. Your score is the number of lies you catch in eight rounds; chance level is one in three, an average of 2.7 out of 8. We store which rounds you played, which fact you picked as the lie in each, your confidence and your time. On the results screen we show which true fact the crowd most often took for a lie, and how confidence relates to accuracy.

What the research says

In their meta-analysis combining 206 documents and 24,483 judges, Bond and DePaulo (2006) found that people distinguish lies from truths in real time and without aids with an average accuracy of 54%: they correctly classified 61% of truths as truthful but only 47% of lies as deceptive. This asymmetry is called truth bias. According to Levine’s (2014) truth-default theory, people believe others by default, and this default is adaptive because most communication is honest. A meta-analysis by DePaulo and colleagues (1997) showed that the relation between confidence and accuracy in lie detection is close to zero (r = .04): being sure is not the same as being right.

Why it happens

The “messages” in this experiment don’t come from a person’s face or voice but from the facts themselves, so the only way to catch the lie is the content: what seems plausible. There is a trap here. The real world is often stranger than we expect, and the most surprising truths look like lies. A good lie, on the other hand, resembles something we have already heard: familiar information feels truer (the illusory truth effect in Hasher, Goldstein and Toppino, 1977). That is why some of our lies are popular myths (like the goldfish’s memory) and some are numbers very close to the truth (8 seconds instead of 8 minutes).

Limitations

This game is not the kind of lie-detection task Bond and DePaulo reviewed: there, people watched someone speak and judged whether they were lying; here you judge written facts, and general knowledge clearly affects the result. You know every round contains a lie; in real life lies are usually unexpected. We chose the true facts and wrote the lies; how convincing the lies are depends on our writing. Some facts depend on definitions (of a “desert” or a “war”, for example); the solution explains these with sources. The score is a small sample of eight rounds and shouldn’t be read as a measure of personal ability.

54%Accuracy at telling lies from truths (206 documents, 24,483 judges)Bond and DePaulo, 2006
61% / 47%Truths recognised as truthful / lies recognised as liesBond and DePaulo, 2006
r = .04Relation between confidence and accuracy in lie detection (18 samples)DePaulo et al., 1997
  1. Bond, C. F., Jr., & DePaulo, B. M. (2006). Accuracy of deception judgments. Personality and Social Psychology Review, 10(3), 214–234. View source ↗
  2. Levine, T. R. (2014). Truth-default theory (TDT): A theory of human deception and deception detection. Journal of Language and Social Psychology, 33(4), 378–392. View source ↗
  3. DePaulo, B. M., Charlton, K., Cooper, H., Lindsay, J. J., & Muhlenbruck, L. (1997). The accuracy-confidence correlation in the detection of deception. Personality and Social Psychology Review, 1(4), 346–357. View source ↗
  4. Hasher, L., Goldstein, D., & Toppino, T. (1977). Frequency and the conference of referential validity. Journal of Verbal Learning and Verbal Behavior, 16(1), 107–112. View source ↗

A party game, a lab task

“Two truths and a lie” is known as an icebreaker: everyone says three things about themselves and the others try to spot the lie. In this experiment we don’t talk about ourselves but about the world. Each round has three surprising facts; two are true and backed by a reliable source, and one is a plausible lie we wrote.

Over eight rounds you pick the lie and say how sure you are. Someone guessing at random catches 2.7 lies in 8 rounds on average. On the results screen you can see your score, the crowd’s average and which true fact was most often mistaken for a lie.

Why are we bad at catching lies?

Charles Bond and Bella DePaulo (2006) combined hundreds of lie-detection studies in a single meta-analysis: 206 documents and 24,483 judges in total. When people watched someone speak and decided whether they were lying, average accuracy was 54%; tossing a coin would give 50%.

Even more interesting was the direction of the errors. People recognised 61% of truth-tellers as honest but caught only 47% of liars. In other words, judges mostly said “they’re telling the truth”, even when they should have been suspicious. This tendency is called truth bias.

The truth default

Timothy Levine (2014) interpreted truth bias not as an error but as a default. According to truth-default theory, people automatically believe what they hear until they see a reason for suspicion. Because most everyday communication is honest, this default usually leads us to the right conclusion and makes communication possible.

According to Levine, lies are mostly caught not through behavioural cues (like avoiding eye contact or fidgeting) but through content and context: what is said contradicting what we know, or evidence that turns up later. That is all you can do in this experiment too: compare the fact with what you know.

Surprising truths, familiar lies

There is another trap in this game of facts: the world is often stranger than we expect. Wombats leaving cube-shaped droppings, or Cleopatra living closer to the Moon landing than to the pyramids, sound made up. The most surprising truths may be the ones most often taken for lies.

A good lie, on the other hand, feels familiar. Hasher, Goldstein and Toppino (1977) showed that people rate statements they have heard before as truer, regardless of whether they are true; this is called the illusory truth effect. That is why much-repeated myths, like the goldfish’s few-second memory or Napoleon being very short, are among our lies.

Being sure isn’t being right

In each round we also ask how sure you are. The meta-analysis by DePaulo and colleagues (1997) found that the relation between confidence and accuracy in lie detection is close to zero (an average r of .04 across 18 samples). Confidence was related more to a person’s tendency to say “they’re telling the truth”.

On the results screen we compare how accurate the crowd was in rounds where they said “very sure” with rounds where they said “not sure”. In a trivia game general knowledge helps, so a link between confidence and accuracy here wouldn’t be surprising. What we are curious about is how weak or strong that link is.

FAQ

What is truth bias?

It is people’s tendency to judge what they hear as true rather than as a lie. In Bond and DePaulo’s (2006) meta-analysis, people recognised 61% of truths as truthful but caught only 47% of lies.

How is my score calculated?

It is the number of lies you catch in eight rounds: at least 0, at most 8. Someone guessing at random catches 2.7 lies in 8 rounds on average (a one-in-three chance per round). Your confidence answers don’t affect the score.

How can I be sure the facts are true?

In the solution we give the source of every true fact with a link, and explain with a source why each lie is false. We checked the facts one by one against sources such as NASA, the US National Weather Service, the US Geological Survey, Scientific American, Etymonline and Wikipedia.

What’s the difference between free play, the daily series and a race?

In free play the rounds are drawn from the pool afresh each time. In the daily series everyone plays the same rounds in the same order that day; in a race room and in a challenge everyone also sees the same rounds. Your first game stays in the scientific data; replays count for the leaderboard and for you.

Why do some true facts sound like lies?

Because the world is stranger than we expect, and we often judge whether something is true by how plausible or familiar it feels. Surprising truths draw suspicion, while familiar myths seem true.

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