Why We Lie

Editor’s Note

“Lying” — Social Implications

This month article illustrate one of the most complex parts of human psychology that had been with us perhaps since the beginning of evolution.

Beside what had been brilliantly elaborated in the article, a few observations and social implications of lying is worth reemphasizing.

  1. Most of the time truth is a painful phenomena and one or both party must confront a topic that either were not aware of it or tried to hide or delay it as much as possible because it cause surge of unhappy hormones vs. happy ones and demand our serious attention and always remain the same without any change in substance, it matrix and its results.
  2. Lying is a common thing, it is easy to say and easy to deny. Most of the time it is contagious, destructive and actually we may call it a disease.
  3. Truth comes in one size as it is, but lies can be small, medium, or big.
  4. Truth is constructive, increase trust, build confidence, and open the doors of opportunities and shine like the sun.
  5. Lie is a cultural dysfunction and anomaly that cripple the society and spread as a cloud of suspicious over human mind.
  6. As article stated 2% of a population are born to lies always. (Big ones) and the other 98% of us lies based on our convenience. (Small ones)
  7. Secrecy is the mother of all lies. All bad decisions being made under colorful banners and executed in the back doors and transmitted in coded format and the of innocent people feel the pain after the action is completed (i.e., wars.)
  8. Truth is a bitter peel that if we have the courage to swallow, make us feel better.
  9. Lies is a virus or a cancer putting it mildly and intend to destroy our society and ultimately intend to kill.
  10. I personally recommend reading this article and remember that our little lies of 98% is as destructive as the other 2% collectively and if you want to have a clear conscious, never lie and never trust the liars, and as a result you may want think twice for choosing you future (carrier)
  11. For sure, the following questions will confront your soul at any opportunity they find. A) Why I lied?
    B) How to clean the mess or heal the wound?
    C) Was I better off to remain trustful all the time?
    D) Lying will affect my health, happiness, and peace of mind
    E) How can I stop lying?
    F) Am I aware of lying habits?
  12. It is nice to know if there is any study to show the correlate between job, profession, education and unacceptable social behavior?
  13. If not, is such a study will be useful and make the world more peaceful, by suggesting to make psychological prescreening as a criteria to qualify us psychologically for choosing our profession specially certain vital ones such as medical field, law, politics and army. Perhaps the chance of lying will decrease by decision makers of the world.
  14. The last but not least, more people get it to the top of their profession based on their total complete dishonesty and lies and being protected and honored under the various banners and titles and I think that, this special class of honored dishonest individuals are the promoter of our society lying engine that keep this deadly virus alive.
  15. Society as a whole neither should reward a bad behavior nor remain silent and defenseless.
  16. We are sole responsible for our dishonest act.
  17. Demand for justice is usually loud but vulnerable and dictatorship could present itself in a crippling way with disastrous outcome in any part of this planet and its continents, per sure.


Why We Lie

* Mr. Ariely is the James B. Duke Professor of Behavior Economics at Duke University. This piece is adapted from his forthcoming book, “The (Honest) Truth About Dishonesty: How We Lie to Everyone — Especially Ourselves,” to be published by HarperCollins on June 5.

Not too long ago, one of my students, named Peter, told me a story that captures rather nicely our society’s misguided efforts to deal with dishonesty. One day, Peter locked himself out of his house. After a spell, the locksmith pulled up in his truck and picked the lock in about a minute.

“I was amazed at how quickly and easily this guy was able to open the door,” Peter said. The locksmith told him that locks are on doors only to keep honest people honest. One percent of people will always be honest and never steal. Another 1% will always be dishonest and always try to pick your lock and steal your television; locks won’t do much to protect you from the hardened thieves, who can get into your house if they really want to. The purpose of locks, the locksmith said, is to protect you from the 98% of mostly honest people who might be tempted to try your door if it had no lock.

We tend to think that people are either honest or dishonest. In the age of Bernie Madoff and Mark McGwire, James Frey and John Edwards, we like to believe that most people are virtuous, but a few bad apples spoil the bunch. If this were true, society might easily remedy its problems with cheating and dishonesty. Human-resources departments could screen for cheaters when hiring. Dishonest financial advisers or building contractors could be flagged quickly and shunned. Cheaters in sports and other arenas would be easy to spot before they rose to the tops of their professions.

But that is not how dishonesty works. Over the past decade or so, my colleagues and I have taken a close look at why people cheat, using a variety of experiments and looking at a panoply of unique data sets—from insurance claims to employment histories to the treatment records of doctors and dentists. What we have found, in a nutshell: Everybody has the capacity to be dishonest, and almost everybody cheats—just by a little. Except for a few outliers at the top and bottom, the behavior of almost everyone is driven by two opposing motivations. On the one hand, we want to benefit from cheating and get as much money and glory as possible; on the other hand, we want to view ourselves as honest, honorable people. Sadly, it is this kind of small-scale mass cheating, not the high-profile cases, that is most corrosive to society.

Much of what we have learned about the causes of dishonesty comes from a simple little experiment that we call the “**matrix task**,” which we have been using in many variations. It has shown rather conclusively that cheating does not correspond to the traditional, rational model of human behavior—that is, the idea that people simply weigh the benefits (say, money) against the costs (the possibility of getting caught and punished) and act accordingly.

In the control condition, it turns out that most people can solve about four matrices in five minutes. But in the average of six matrices—two more than in the control condition. This overall increase results not from a few individuals who claim to solve a lot more matrices but from lots of people who cheat just by a little.

Would putting more money on the line make people cheat more? We tried varying the amount that we paid for a solved matrix, from 50 cents to $10, but more money did not lead to more cheating. In fact, the amount of cheating was slightly lower when we promised our participants the highest amount for each correct answer. (Why? I suspect that at $10 per solved matrix, it was harder for participants to cheat and still feel good about their own sense of integrity.)

Would a higher probability of getting caught cause people to cheat less? We tried conditions for the experiment in which people shredded only half their answer sheet, in which they paid themselves money from a bowl in the hallway, even one in which a noticeably blind research assistant administered the experiment. Once again, lots of people cheated, though just by a bit. But the level of cheating was unaffected by the probability of getting caught.

Knowing that most people cheat—but just by a little—the next logical question is what makes us cheat more or less.

One thing that increased cheating in our experiments was making the prospect of a monetary payoff more “distant,” in psychological terms. In one variation of the matrix task, we tempted students to cheat for tokens (which would immediately be traded in for cash). Subjects in this token condition cheated twice as much as those lying directly for money.

Another thing that boosted cheating: Having another student in the room who was clearly cheating. In this version of the matrix task, we had an acting student named David get up about a minute into the experiment (the participants in the study didn’t know he was an actor) and implausibly claim that he had solved all the matrices. Watching this mini-Madoff clearly cheat—and waltz away with a wad of cash—the remaining students claimed they had solved double the number of matrices as the control group. Cheating, it seems, is infectious.

Other factors that increased the dishonesty of our test subjects included knowingly wearing knockoff fashions, being drained from the demands of a mentally difficult task and thinking that “teammates” would benefit from one’s cheating in a group version of the matrix task. These factors have little to do with cost-benefit analysis and everything to do with the balancing act that we are constantly performing in our heads. If I am already wearing fake Gucci sunglasses, then maybe I am more comfortable pushing some other ethical limits (we call this the “What the hell” effect). If I am mentally depleted from sticking to a tough diet, how can you expect me to be scrupulously honest? (It’s a lot of effort!) If it is my teammates who benefit from my fudging the numbers, surely that makes me a virtuous person!

The results of these experiments should leave you wondering about the ways that we currently try to keep people honest. Does the prospect of heavy fines or increased enforcement really make someone less likely to cheat on their taxes, to fill out a fraudulent insurance claim, to recommend a bum investment or to steal from his or her company? It may have a small effect on our behavior, but it is probably going to be of little consequence when it comes up against the brute psychological force of “I’m only fudging a little” or “Everyone does it” or “It’s for a greater good.”

What, then—if anything—pushes people toward greater honesty?

Took a group of 450 participants, split them into two groups and set them loose on our usual matrix task. We asked half of them to recall the Ten Commandments and the other half to recall 10 books that they had read in high school. Among the group who recalled the 10 books, we saw the typical widespread but moderate cheating. But in the group that was asked to recall the Ten Commandments, we observed no cheating whatsoever. We reran the experiment, reminding students of their schools’ honor codes instead of the Ten Commandments, and we got the same result. We even reran the experiment on a group of self-declared atheists, asking them to swear on a Bible, and got the same no-cheating results yet again.

This experiment has obvious implications for the real world. While ethics lectures and training seem to have little to no effect on people, reminders of morality—right at the point where people are making a decision—appear to have an outsize effect on behavior.

Another set of our experiments, conducted with mock tax forms, convinced us that it would be better to have people put their signature at the top of the forms (before they filled in false information) rather than at the bottom (after the lying was done). Unable to get the IRS to give our theory a go in the real world, we tested it out with automobile-insurance forms. An insurance company gave us 20,000 forms with which to play. For half of them, we kept the usual arrangement, with the signature line at the bottom of the page along with the statement: “I promise that the information I am providing is true.” For the other half, we moved the statement and signature line to the top. We mailed the forms to 20,000 customers, and when we got the forms back, we compared the amount of driving reported on the two types of forms.

People filling out such forms have an incentive to underreport how many miles they drive, so as to be charged a lower premium. What did we find? Those who signed the form at the top said, on average, that they had driven 26,100 miles, while those who signed at the bottom said, on average, that they had driven 23,700 miles—a difference of about 2,400 miles. We don’t know, of course, how much those who signed at the top really drove, so we don’t know if they were perfectly honest—but we do know that they cheated a good deal less than our control group.

Such tricks aren’t going to save us from the next big Ponzi scheme or doping athlete or thieving politician. But they could rein in the vast majority of people who cheat “just by a little.” Across all of our experiments, we have tested thousands of people, and from time to time, we did see aggressive cheaters who kept as much money as possible. In the matrix experiments, for example, we have never seen anyone claim to solve 18 or 19 out of the 20 matrices. But once in a while, a participant claimed to have solved all 20. Fortunately, we did not encounter many of these people, and because they seemed to be the exception and not the rule, we lost only a few hundred dollars to these big cheaters. At the same time, we had thousands and thousands of participants who cheated by “just” a few matrices, but because there were so many of them, we lost thousands and thousands of dollars to them.

In short, very few people steal to a maximal degree, but many good people cheat just a little here and there. We fib to round up our billable hours, claim higher losses on our insurance claims, recommend unnecessary treatments and so on.

Companies also find many ways to game the system just a little. Think about credit-card companies that raise interest rates ever so slightly for no apparent reason and invent all kinds of hidden fees and penalties (which are often referred to, within companies, as “revenue enhancements”). Think about banks that slow down check processing so that they can hold on to our money for an extra day or two or charge exorbitant fees for overdraft protection and for using ATMs.

All of this means that, although it is obviously important to pay attention to flagrant misbehaviors, it is probably even more important to discourage the small and more ubiquitous forms of dishonesty—the misbehavior that affects all of us, as both perpetrators and victims. This is especially true given what we know about the contagious nature of cheating and the way that small transgressions can grease the psychological skids to larger ones.

We want to install locks to stop the next Bernie Madoff, the next Enron, the next steroid-enhanced all-star, the next serial plagiarist, the next self-dealing political miscreant. But locking our doors against the dishonest monsters will not keep them out; they will always cheat their way in. It is the woman down the hallway—the sweet one who could not even carry away your flat-screen TV if she wanted to—who needs to be reminded constantly that, even if the door is open, she cannot just walk in and “borrow” a cup of sugar without asking.

Table 1

Increase dishonesty

Table 2

Decrease dishonesty

Ability to radicalize

Conflicts of interest


Previous immoral acts

Being depleted

Others benefiting from our dishonesty

Watching others behave dishonestly

Culture that gives examples of dishonesty

Honor pledges

Signature placement

Moral reminders


The basic matrix task goes as follows: Test subjects (usually college students) are given a sheet of paper containing a series of 20 different matrices (structured like the example you can see below ) and are told to find in each of the matrices two numbers that add up to 10. They have five minutes to solve as many of the matrices as possible, and they get paid based on how many they solve correctly. When we want to make it possible for subjects to cheat on the matrix task, we introduce what we call the “shredder condition.” The subjects are told to count their correct answers on their own and then put their work sheets through a paper shredder at the back of the room. They then tell us how many matrices they solved correctly and get paid accordingly.



1.82 2.91
4.67 4.81 3.05
5.82 5.06 4.28
6.36 5.19 4.57

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