11.3 Faulty Decision Making

Avoiding Decision-Making Traps

No matter which model you use, it is important to know and avoid the decision-making traps that exist. Daniel Kahnemann (another Nobel Prize winner) and Amos Tversky spent decades studying how people make decisions. They found that individuals are influenced by overconfidence bias, hindsight bias, anchoring bias, framing bias, and escalation of commitment.

Overconfidence bias occurs when individuals overestimate their ability to predict future events. Many people exhibit signs of overconfidence. For example, 82% of the drivers surveyed feel they are in the top 30% of safe drivers, 86% of students at the Harvard Business School say they are better looking than their peers, and doctors consistently overestimate their ability to detect problems (Tilson, 1999). Much like friends that are 100% sure they can pick the winners of this week’s football games despite evidence to the contrary, these individuals are suffering from overconfidence bias. Similarly, in 2008, the French bank Société Générale lost over $7 billion as a result of the rogue actions of a single trader. Jérôme Kerviel, a junior trader in the bank, had extensive knowledge of the bank’s control mechanisms and used this knowledge to beat the system. Interestingly, he did not make any money from these transactions himself, and his sole motive was to be successful. He secretly started making risky moves while hiding the evidence. He made a lot of profit for the company early on and became overly confident in his abilities to make even more. In his defense, he was merely able to say that he got “carried away” (The rogue rebuttal, 2008). People who purchase lottery tickets as a way to make money are probably suffering from overconfidence bias. It is three times more likely for a person driving 10 miles to buy a lottery ticket to be killed in a car accident than to win the jackpot (Orkin, 1991). Further, research shows that overconfidence leads to less successful negotiations (Neale & Bazerman, 1985). To avoid this bias, take the time to stop and ask yourself if you are being realistic in your judgments.

Hindsight bias is the opposite of overconfidence bias, as it occurs when looking backward in time and mistakes seem obvious after they have already occurred. In other words, after a surprising event occurred, many individuals are likely to think that they already knew the event was going to happen. This bias may occur because they are selectively reconstructing the events. Hindsight bias tends to become a problem when judging someone else’s decisions. For example, let’s say a company driver hears the engine making unusual sounds before starting the morning routine. Being familiar with this car in particular, the driver may conclude that the probability of a serious problem is small and continues to drive the car. During the day, the car malfunctions and stops miles away from the office. It would be easy to criticize the decision to continue to drive the car because in hindsight, the noises heard in the morning would make us believe that the driver should have known something was wrong and taken the car in for service. However, the driver in question may have heard similar sounds before with no consequences, so based on the information available at the time, continuing with the regular routine may have been a reasonable choice. Therefore, it is important for decision makers to remember this bias before passing judgments on other people’s actions.

Anchoring refers to the tendency for individuals to rely too heavily on a single piece of information. Job seekers often fall into this trap by focusing on a desired salary while ignoring other aspects of the job offer such as additional benefits, fit with the job, and working environment. Similarly, but more dramatically, lives were lost in the Great Bear Wilderness Disaster when the coroner, within 5 minutes of arriving at the accident scene, declared all five passengers of a small plane dead, which halted the search effort for potential survivors. The next day two survivors who had been declared dead walked out of the forest. How could a mistake like this have been made? One theory is that decision biases played a large role in this serious error, and anchoring on the fact that the plane had been consumed by flames led the coroner to call off the search for any possible survivors (Becker, 2007).

Framing bias is another concern for decision makers. Framing bias refers to the tendency of decision makers to be influenced by the way that a situation or problem is presented. For example, when making a purchase, customers find it easier to let go of a discount as opposed to accepting a surcharge, even though they both might cost the person the same amount of money. Similarly, customers tend to prefer a statement such as “85% lean beef” as opposed to “15% fat” (Li, Sun & Wang, 2007). It is important to be aware of this tendency, because depending on how a problem is presented to us, we might choose an alternative that is disadvantageous simply because of the way it is framed.

Escalation of commitment occurs when individuals continue on a failing course of action after information reveals it may be a poor path to follow. It is sometimes called the “sunken costs fallacy,” because continuation is often based on the idea that one has already invested in the course of action. For example, imagine a person who purchases a used car, which turns out to need something repaired every few weeks. An effective way of dealing with this situation might be to sell the car without incurring further losses, donate the car, or use it until it falls apart. However, many people would spend hours of their time and hundreds, even thousands of dollars repairing the car in the hopes that they might recover their initial investment. Thus, rather than cutting their losses, they waste time and energy while trying to justify their purchase of the car.

A classic example of escalation of commitment from the corporate world is Motorola Inc.’s Iridium project. In the 1980s, phone coverage around the world was weak. For example, it could take hours of dealing with a chain of telephone operators in several different countries to get a call through from Cleveland to Calcutta. There was a real need within the business community to improve phone access around the world. Motorola envisioned solving this problem using 66 low-orbiting satellites, enabling users to place a direct call to any location around the world. At the time of idea development, the project was technologically advanced, sophisticated, and made financial sense. Motorola spun off Iridium as a separate company in 1991. It took researchers a total of 15 years to develop the product from idea to market release. However, in the 1990s, the landscape for cell phone technology was dramatically different from that in the 1980s, and the widespread cell phone coverage around the world eliminated most of the projected customer base for Iridium. Had they been paying attention to these developments, the decision makers could have abandoned the project at some point in the early 1990s. Instead, they released the Iridium phone to the market in 1998. The phone cost $3,000, and it was literally the size of a brick. Moreover, it was not possible to use the phone in moving cars or inside buildings. Not surprisingly, the launch was a failure, and Iridium filed for bankruptcy in 1999 (Finkelstein & Sanford, 2000). In the end, the company was purchased for $25 million by a group of investors (whereas it cost the company $5 billion to develop its product), scaled down its operations, and modified it for use by the Department of Defense to connect soldiers in remote areas not served by land lines or cell phones.

Why does escalation of commitment occur? There may be many reasons, but two are particularly important. First, decision makers may not want to admit that they were wrong. This may be because of personal pride or being afraid of the consequences of such an admission. Second, decision makers may incorrectly believe that spending more time and energy might somehow help them recover their losses. Effective decision makers avoid escalation of commitment by distinguishing between when persistence may actually pay off versus when it might mean escalation of commitment. To avoid escalation of commitment, you might consider having strict turning back points. For example, you might determine up front that you will not spend more than $500 trying to repair the car and will sell it when you reach that point. You might also consider assigning separate decision makers for the initial buying and subsequent selling decisions. Periodic evaluations of an initially sound decision to see whether the decision still makes sense is also another way of preventing escalation of commitment. This type of review becomes particularly important in projects such as the Iridium phone, in which the initial decision is not immediately implemented but instead needs to go through a lengthy development process. In such cases, it becomes important to periodically assess the soundness of the initial decision in the face of changing market conditions. Finally, creating an organizational climate in which individuals do not fear admitting that their initial decision no longer makes economic sense would go a long way in preventing escalation of commitment, as it could lower the regret the decision maker may experience (Wong & Kwong, 2007).

So far we have focused on how individuals make decisions and how to avoid decision traps. Next we shift our focus to the group level. There are many similarities as well as many differences between individual and group decision making. There are many factors that influence group dynamics and also affect the group decision-making process. We will discuss some of them in the following section.