The Outcome Bias: Rewarding Good Luck & Punishing Good Decision-Making

Why we punish smart strategists who get unlucky, reward reckless gamblers who win, and how "results-oriented" thinking ruins decision quality.


Introduction

The corporate world is often obsessed with the bottom line, and understandably so, as it defines whether a business is functional in the first place. However, this focus on the bottom line frequently filters throughout a given organisation, and an employee being “results-oriented” is considered the highest virtue. Yet this fixation on results can often be a dangerous cognitive error that degrades decision-making quality over time. Indeed, the quality of a decision and the quality of its outcome are often conflated, even if they are not always correlated. Consequently, reckless strategies that succeed are praised, while robust strategies that fail due to bad luck are punished. This bias results from a psychological mechanism known as the “Outcome Bias”, which is the tendency to judge a decision not by the underlying process but by its result.

The Illusion of Quality

The outcome bias occurs because the human brain makes for a poor statistician. Once an outcome is known, our brain is prone to reconstructing a narrative that makes the failure seem inevitable and ignores the uncertainty present at the time of the original decision. Consequently, bad outcomes are linked to bad decisions and vice versa. Contextualising this in the workplace, it risks creating a dangerous feedback loop. If a manager takes a reckless risk and it pays off, they are labelled as a visionary. Nevertheless, the organisation unknowingly codifies the manager’s inefficient decision-making as “best practice”, potentially setting up the firm for disaster.

Surgeon’s Dilemma

A 1989 paper by Jonathan Baron and John Hershey provides definitive research on this phenomenon. Within this study, they presented subjects with a scenario involving a surgeon deciding whether to perform a risky operation, with a fixed probability of success. The decision to operate was statistically sound based on the data available at the time. One group was told the operation was a success, the other was told the patient died. The group that saw the negative outcome rated the surgeon’s decision-making as significantly more incompetent than the group that saw a positive outcome, despite the identical decision being made, with the same data. These findings by Baron and Hershey reveal a reality: we do not evaluate people based on logic alone, but also on luck.

Process Over Results

Three cognitive repairs can help an organisation and its leaders shift from being results-oriented to process-oriented. First, a form of journaling, wherein the decision process is actively logged, should be utilised. Data used and the expected probability of success should be noted prior to the result being known. Similarly, major projects should utilise blinded retrospectives. Within this system, after a project, a review committee evaluates strategic documents and other data before being told whether the project succeeded or failed. Hence, the committee is forced to grade a decision solely on the merits of the information available at the time, bypassing the brain’s hindsight circuitry. Finally, the use of binary language ought to be banished in favour of probabilistic mandates. Rather than utilising definitive yes/nos when assessing whether a project will succeed, using percentages forces organisations and leaders to view single outcomes as data points within a broader distribution rather than definitive verdicts on a leader's competence.

Conclusion

While it may be difficult to admit that a portion of success is attributable to variance and luck, it is crucial to acknowledge it. Studies repeatedly show the power of the outcome and hindsight bias, and organisations and their leaders need to address it. This prevents lucky breaks from solidifying bad habits and instead ensures a consistent and strategically sound team.  

 

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