What is it called when we think we know the outcome of new events because of past experiences?

Learning Outcomes

  • Compare various biases and errors in decision making

There are two types of decisions—programmed and non-programmed. A programmed decision is one that is very routine and, within an organization, likely to be subject to rules and policies that help decision makers arrive at the same decision when the situation presents itself. A nonprogrammed decision is one that is more unusual and made less frequently. These are the types of decisions that are most likely going to be subjected to decision making heuristics, or biases.

As we become more embroiled in the rational decision making model—or, as we discussed, the more likely bounded rationality decision making model—some of our attempts to shortcut the collection of all data and review of all alternatives can lead us a bit astray. Common distortions in our review of data and alternatives are called biases.

You only need to scroll through social media and look at people arguing politics, climate change, and other hot topics to see biases in action. They’re everywhere. Here are some of the more common ones you’re likely to see:

Overconfidence Bias

The overconfidence bias is a pretty simple one to understand—people are overly optimistic about how right they are. Studies have shown that when people state they’re 65–70% sure they’re right, those people are only right 50% of the time. Similarly, when they state they’re 100% sure, they’re usually right about 70–85% of the time.

Overconfidence of one’s “correctness” can lead to poor decision making. Interestingly, studies have also shown that those individuals with the weakest intelligence and interpersonal skills are the most likely to exhibit overconfidence in their decision making, so managers should watch for overconfidence as a bias when they’re trying to make decisions or solve problems outside their areas of expertise.

Anchoring Bias

The anchoring bias is the tendency to fix on the initial information as the starting point for making a decision, and the failure to adjust for subsequent information as it’s collected. For example, a manager may be interviewing a candidate for a job, and that candidate asks for a $100,000 starting salary. As soon as that number is stated, the manager’s ability to ignore that number is compromised, and subsequent information suggesting the average salary for that type of job is $80,000 will not hold as much strength.

Similarly, if a manager asks you for an expected starting salary, your answer will likely anchor the manager’s impending offer. Anchors are a common issue in negotiations and interviews.

Confirmation Bias

The rational decision making process assumes that we gather information and data objectively, but confirmation bias represents the gathering of information that supports one’s initial conclusions.

We seek out information that reaffirms our past choices and tend to put little weight on those things that challenge our views. For example, two people on social media may be arguing the existence of climate change. In the instance of confirmation bias, each of those people would look to find scientific papers and evidence that supports their theories, rather than making a full examination of the situation.

Hindsight Bias

What is it called when we think we know the outcome of new events because of past experiences?
Hindsight bias is the tendency we have to believe that we’d have accurately predicted a particular event after the outcome of that event is known. On the Saturday before a Super Bowl, far fewer people are sure of the outcome of the event, but on the Monday following, many more are willing to claim they were positive the winning team was indeed going to emerge the winner.

Because we construct a situation where we fool ourselves into thinking we knew more about an event before it happened, hindsight bias restricts our ability to learn from the past and makes us overconfident about future predictions.

Representative Bias

Representative bias is when a decision maker wrongly compares two situations because of a perceived similarity, or, conversely, when he or she evaluates an event without comparing it to similar situations. Either way, the problem is not put in the proper context.

In the workplace, employees might assume a bias against white males when they see that several women and minorities have been hired recently. They may see the last five or six hires as representative of the company’s policy, without looking at the last five to ten years of hires.

On the other side of the coin, two high school seniors might have very similar school records, and it might be assumed that because one of those students got into the college of her choice, the other is likely to follow. That’s not necessarily the case, but representative bias leads a decision maker to think because situations are similar, outcomes are likely to be similar as well.

Availability Bias

Availability bias suggests that decision makers use the information that is most readily available to them when making a decision.

We hear about terrorism all the time on the news, and in fictional media. It’s blown out of proportion, making it seem like a bigger threat than it is, so people invest their time and efforts to combat it. Cancer, however, kills 2,000 times more people. We don’t invest in that, it doesn’t get enough news coverage, and it’s not as “available” in our mind as information. Hence, the availability bias.

Commitment Errors

This is an increased commitment to a previous decision in spite of negative information. A business owner may put some money down on a storefront location to rent DVDs and Blu-rays, start purchasing stock for his or her shelves and hire a few people to help him or her watch the cash register. The owner may review some data and stats that indicate people don’t go out and rent videos too much anymore, but, because he or she is committed to the location, the stock, the people, the owner is going to continue down that path and open a movie rental location.

Managers sometimes want to prove their initial decision was correct by letting a bad decision go on too long, hoping the direction will be corrected. These are often costly mistakes.

Randomness Errors

If you are certain your lucky tie will help you earn a client’s business at a meeting later today, you’re committing a randomness error. A tie does not bring you luck, even if you once wore it on a day when you closed a big deal.

Decisions can become impaired when we try to create meaning out of random events. Consider stock prices. Financial advisors feel they can predict the flow of stock prices based on past performance, but on any given day, those stock prices are completely random. In reality, these advisors were able to predict the direction of stock prices about 49 percent of the time, or about as well as if they’d just guessed.

In the case of the lucky tie, that’s more a superstition. Decision makers who are controlled by their superstitions can find it difficult or impossible to change routines or objectively process new information.

Managers who can objectively collect data and arrive at alternatives without being affected by these biases are already head-and-shoulders above other decision makers who aren’t aware of these pitfalls. Finding unique solutions to unique problems requires a little something more, though. Creativity in decision making can take you to the next step. We’ll talk about that next.

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The hindsight bias is our tendency to look back at an unpredictable event and think it was easily predictable. It is also called the ‘knew-it-all-along’ effect.

What is it called when we think we know the outcome of new events because of past experiences?

Where this bias occurs

Debias Your Organization

Most of us work & live in environments that aren’t optimized for solid decision-making. We work with organizations of all kinds to identify sources of cognitive bias & develop tailored solutions.

Learn about our work

Consider this hypothetical: John and Jane have a fantastic relationship. They are madly in love, and have plans to move in together in a few months — at least that’s what John thinks.

One day after work, John receives a message from Jane: ‘We need to talk.’ Suddenly, he gets worried. Is everything alright? Does Jane still love him? He did notice some tension between them the last few weeks. It turns out, Jane is not so happy with the relationship. She needs a break from John.

He knew it! John tells himself, and then his friends. Now that he looks back at his relationship with Jane, he saw many signs that pointed to trouble: cancelled plans, awkwardness, being ignored by her friends, and so forth. He had known it all along, and so this bad news from Jane was no surprise to him.

This is the hindsight bias at work. An unforeseen break-up becomes foreseeable to John after it takes place. He overestimates his ability to have predicted the end of his relationship with Jane once the relationship is suddenly over.

Debias Your Organization

Most of us work & live in environments that aren’t optimized for solid decision-making. We work with organizations of all kinds to identify sources of cognitive bias & develop tailored solutions.

Learn about our work

  • Regret Aversion
  • Cognitive Dissonance
  • Dunning–Kruger Effect

The hindsight bias can have a negative influence on our decision-making. Part of what goes into making good decisions is realistically assessing their consequences. It can lead to an overconfidence in our ability to predict these consequences. If we look back at past decisions and conclude that their consequences were indeed known to us at the time (when they weren’t), then it makes sense that we will overestimate our ability to foresee the implications of our future decisions. This can be dangerous, as our overconfidence may lead us to take unnecessary risks.1 Think of a gambler who looks back at past losses as predictable, making him increasingly confident that his next trip to the casino will be successful.

This bias can have troubling implications across different academic and professional areas. The accurate study of past historical and political events or trends may be tainted if researchers are unable to put themselves in the shoes of decision-makers at the time -- who’s decisions were not informed by the foresight we have studying them in retrospect. This can cause details that seem obvious after-the-fact to be overlooked. Law, insurance, and finance all rely on realistic risk assessments based on similar past events. The bias can distort these predictions.

The hindsight bias happens when new information surrounding a past experience changes our recollection of that experience from an original thought into something different.2 According to psychological scientists Neal Roese and Kathleen Vohs, there are three stacking levels on which this can occur.

The first level is “memory distortion.” This involves misremembering a past judgment or opnition. We often do this when claiming we said something when we didn’t. The second level is centered around our belief that a past event was inevitable. Roese and Vohs call this degree of hindsight bias “inevitability.” The last level, “foreseeability,” entails believing that we could have foreseen the event.3 So, the bias occurs when we misremember our past thoughts, think a past event was inevitable, and subsequently, believe the event was foreseeable.

From their review of existing literature on hindsight bias, Roese and Vohs conclude that there are three main sorts of variables that affect the three levels of hindsight bias to create our tendency of overestimating our predictive abilities:

  1. Cognitive: We often distort their memory of past events by selectively remembering information that confirms what we already now know to be true. We do this to create a story that makes sense with the information we already have in what’s known as “sensemaking.” This is related to confirmation bias.
  2. Metacognitive: Metacognition is when we think about our thoughts themselves. When people find it easy to think and understand a past judgement or event (an earlier thought), they can confuse ease with certainty. It is often easy to understand how or why an event happened in retrospect, due, at least in part, to the availability heuristic. This makes us certain that it is an understanding we had before.
  3. Motivational: It brings us comfort to think that the world is orderly and predictable. This can motivate us to see unpredictable events as predictable. It also feels nice to think that your predictions were right or that you “knew-it-all-along” even if you might not have. Research shows that our actions are often subconsciously motivated to promote a positive view of ourselves.4,5

It is important that we are aware of the implications it can have in our lives. As mentioned earlier, the overconfidence it often produces can have damaging implications. An essential part of making good decisions in our personal and professional lives is having realistic predictions about the future. The hindsight bias gets in the way by distorting the internal track-record we have of our past predictions. This can lead to overly confident future predictions that justify risky decisions with bad outcomes.

More broadly, the bias prevents us from learning from our experiences. If we already feel that we knew something all along, it is unlikely that we will carefully reflect on its outcome, and it will certainly prevent us from understanding why our predictions at the time might have been wrong. Ultimately, this can prevent us from understanding the true nature of an event or from identifying issues in how we make predictions.

If you feel like you knew it all along, it means you won’t stop to examine why something really happened...“It’s often hard to convince seasoned decision makers that they might fall prey to hindsight bias.”


- Neal Roese, expert in psychology of judgment and decision-making

One way that Roese and Vohs suggest counteracting hindsight bias is to consider and explain how the outcomes that did not unfold could have unfolded. By mentally reviewing all the potential outcomes, an event will seem less inevitable and foreseeable. However, Roese and Vohs note that we should not look to consider an overwhelming number of alternative outcomes, as the decision-maker could misinterpret this difficulty as an indication of their implausibility rather than their sheer number.6

Another way of addressing dangerous overconfidence is to keep track of your past decisions and their associated predictions. This can be done in what’s known as a “decision journal,” which is similar to a diary but details your decisions and what you were thinking when you made them.7  Having an unalterable track record of the predictions associated with your decisions (which will surely show some false predictions) might prevent the mistake of thinking you always ‘knew it all along.’

While the “knew it all along” phenomenon is not new, its formal scientific study started in the early 1970s. Motivated by the seminal work of his supervisors, Daniel Kahneman and Amos Tversky, on heuristics, Baruch Fischhoff was the first to study hindsight bias experimentally. He was motivated by an article by Paul Meehl on doctors exaggerating their feeling of having known all along how their patient cases were going to turn out.

Interested in the phenomenon and its application to the predictability of political events in hindsight, Fischhoff joined with researcher Ruth Beyth-Marom to test the hypothesis in 1975. To do this, Fischhoff and Beyth asked participants to predict how likely the various outcomes to then US President Nixon’s upcoming trip to China and the Soviet Union were.

Once Nixon had finished the trip, Fischhoff and Beyth asked participants to recall their initial predictions. The results showed that participants did not stick to the predictions they made before the trip, but instead gravitated towards the real outcomes of the trip. In other words, they recalled their predictions differently, favouring outcomes they knew were true in retrospect. This study inspired a broader scientific inquiry into the hindsight bias.8

It is not uncommon to hear people claim that they predicted the outcome of political elections. Researchers Dorothee Dietrich and Matthew Olson conducted a study in 1993 to evaluate the extent to which voters alter their predictions following an election.

Dietrich and Olson asked 57 college students at Hamline University to predict how the U.S. Senate would vote on the confirmation of Supreme Court nominee Clarence Thomas. More specifically, participants were asked to predict the outcome of the vote, how it would be split between parties in the Senate, and to indicate how confident they were in their prediction. A month after the vote, participants were then asked to recall their predictions and level of confidence.9

The results supported the influence of the hindsight bias: before the Senate vote, 58% of students predicted that Thomas would be confirmed. But when students were questioned after the successful confirmation, 78% of them claimed that they thought Thomas would be approved.10

In both the court of law and public opinion, hindsight bias may have a role to play in ‘victim-blaming.’ As mentioned above, part of the reason why the bias arises is that we often look for the easiest explanations and predictions in order to quickly make sense of the world. It is easier to focus on individuals and their actions over more nuanced, systemic causes. It is also easy to form and support predictions for events that have already occurred.

This may explain the prevalence of ‘victim-blaming’ in cases involving sexual assault. Victims of such cases or ‘survivors’ are often blamed for their affliction using the rationale, ‘they should have known better’ in retrospect. Indeed, studies have shown that this bias contributes to victim derogation in rape cases.

Hindsight bias is our tendency to look back at an event that we could not predict at the time and think the outcome was easily predictable. It is also called the ‘knew-it-all-along’ effect.

Why it happens

Firstly, we often distort their memory of past events by selectively remembering information that confirms what we already know to be true. This is done to create a story that makes sense with the information we already have in what’s known as “sensemaking.” Secondly, when people find it easy to think and understand a past judgement or event (an earlier thought), they can confuse ease with certainty. It is often easy to understand how or why an event happened in retrospect. This makes us certain that it is an understanding we had before. Thirdly, it brings us comfort to think that the world is orderly and predictable. This can motivate us to see unpredictable events as predictable. Lastly, It feels good to think that you “knew-it-all-along” even if you might not have.

Example #1 - Political predictions

People often claim that they predicted the outcome of political elections. A 1993 study asked college students to predict how the U.S. Senate would vote on the confirmation of a Supreme Court nominee. A month after the vote, participants were then asked to recall their predictions and level of confidence. Results supported the influence of hindsight bias: before the Senate vote, 58% of students predicted that Thomas would be confirmed. But when students were questioned after the successful confirmation, 78% of them claimed that they thought Thomas would be approved.

Example #2 - Blaming victims

Hindsight bias may have a role to play in the ‘victim blaming’ prevalent in sexual assault cases. Part of the reason why hindsight bias arises, is that we often look for the easiest explanations and predictions in order to quickly make sense of the world. It is easier to focus on individuals and their actions over more nuanced, systemic causes. It is also easy to form and support predictions for events that have already occurred. This may be why sexual assault victims or ‘survivors’ are often blamed for their affliction using the rationale, ‘they should have known better’ in retrospect. Research suggests that hindsight bias contributes to victim derogation in rape cases.

How to avoid it

One strategy is to consider and explain how the outcomes that did not unfold could have unfolded. By mentally reviewing all the potential outcomes, an event will seem less inevitabile and foreseeable. Another way of addressing the dangerous overconfidence that hindsight bias can result in, is to keep track of your past decisions and their associated predictions. Having an explicit and unalterable track record of the predictions associated with your decisions (which will surely show some false predictions) might prevent the mistake of thinking you always ‘knew it all along.’