There are at least two ways to interpret the title of this post. One interpretation implies that the post is about the effects of cognitive biases in the workplace, and maybe, Cognitive biases are powerful.
They determine, in part, how
we make decisions, how we
interact with one other, and
how well those decisions and
interactions serve us
in the workplace.how to manage those effects. A rewording of the title, consistent with this interpretation, is "Cognitive Biases in the Workplace." A second interpretation is that the post is about noticing when cognitive biases are playing a role in a given situation, and maybe what to do about that or how to prevent it. A rewording of the title, consistent with this second interpretation, might be "When Cognitive Biases Are Playing a Role."
When you saw the title and read it for the first time, the interpretation that came to mind first was determined, in part, by cognitive biases. Cognitive biases are powerful. They determine, in part, how we make decisions, how we interact with one other, and how well those decisions and interactions serve us in the workplace — or anywhere else for that matter.
But the focus of this post is cognitive biases in the workplace.
Let's begin by clearing away some baggage related to the term cognitive bias. The word cognitive isn't (or until recently has not been) a common element of workplace vocabulary. In the context of this discussion, it just means, "of or related to thinking." The real problem with the term cognitive bias is the word bias, which has some very negative connotations. In lay language, bias relates to prejudice and unfairness. That isn't the sense we need for this context. For this context, the bias in question is a systematic skew of our thinking away from evidence-based reasoning.
And that's where the problems arise. At work, we tend to think of ourselves as making decisions and analyzing problems using only the tools of evidence-based reasoning. Although that is what we believe, science tells us another story. When we think and when we make decisions, we use a number of patterns of thinking that transcend — and sometimes exclude — evidence-based reasoning.
Some view these alternate patterns of thinking as "less than" or "subordinate to" or "of lesser value than" evidence-based reasoning. In this view, decisions or analysis performed on the basis of anything other than evidence-based reasoning are questionable and not to be relied upon. In this view, unless we can offer an evidence-based chain of reasoning to justify a decision or analysis, that decision or analysis is near worthless.
I disagree. But first let me offer support for the critics of alternate patterns of thinking.
An example of a cognitive bias in real life
There is abundant experimental evidence that these alternate patterns of thinking do often lead to inferior results. One such alternate pattern is the Availability Heuristic. [Tversky 1973] Rather than illustrate the Availability Heuristic with a description of a sterile psychology experiment, let me offer a plausible speculation about the role of the Availability Heuristic in a historical situation.The decision by Germany in World War I to target cities instead of logistics assets could have been influenced by the cognitive bias known as the Availability Heuristic. Because it's much easier to imagine destruction of parts of a city than it is to imagine the widely dispersed and unspectacular consequences of disabling a port or railhead, targeting Paris instead of Dover or Calais might have seemed to be more advantageous to the German cause than it actually could have been — or would have been. The Availability Heuristic may have led German strategists astray.
How we benefit from cognitive biases
If cognitive biases lead us to such disadvantageous conclusions, why then do we have cognitive biases? What good are they?
Cognitive biases are not something we have. What we have are patterns of thinking that result in cognitive biases. We have ways of making decisions and analyzing situations that are far more economical and much faster than evidence-based reasoning. And much of the time, the results we achieve with these alternate patterns of thinking are close to what we could have achieved with evidence-based reasoning. In many situations those results are close enough.
The patterns of thinking that exhibit cognitive biases aren't defects. They aren't shortcomings in the design of humans that need to be rooted out and destroyed. On the contrary, they're actually wonderful tools — alternatives to evidence-based reasoning — that get us "pretty fair" results quickly and cheaply much of the time. The defect, if there is one, is our habit of relying on one or more of these alternate patterns of thinking when their results aren't close enough to what we could achieve if we had the time and resources to apply evidence-based reasoning. Or the defect is our habit of relying on them when their results aren't close enough often enough.
But there are hundreds of cognitive biases. Wikipedia lists 196 of them as of this writing. Now it's unlikely that every single one of these identified cognitive biases arises from a single unique alternate pattern of thinking that produces that bias and only that bias. My own guess is that there are many fewer of these alternate patterns of thinking — often called heuristics — and that they exhibit different cognitive biases in different situations.
Even so, we can't possibly manage the risks associated with these alternate patterns of thinking by considering all of the known cognitive biases all the time. We need a way of focusing our risk management efforts to address only the cognitive biases that are most likely to affect particular kinds of decisions or analyses, depending on what we're doing at the moment. In short, we need a heuristic to help us manage the risks of using heuristics. And we'll make a start on that project next time. Next issue in this series Top Next Issue
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Footnotes
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Related articles
More articles on Cognitive Biases at Work:
- Effects of Shared Information Bias: I
- Shared information bias is the tendency for group discussions to emphasize what everyone already knows.
It's widely believed to lead to bad decisions. But it can do much more damage than that.
- Seven More Planning Pitfalls: II
- Planning teams, like all teams, are susceptible to several patterns of interaction that can lead to
counter-productive results. Three of these most relevant to planners are False Consensus, Groupthink,
and Shared Information Bias.
- Illusory Management: II
- Many believe that managers control organizational performance more precisely than they actually do.
This illusion might arise, in part, from a mechanism that causes leaders and the people they lead to
tend to misattribute organizational success.
- The Risk of Astonishing Success
- When we experience success, we're more likely to develop overconfidence. And when the success is so
extreme as to induce astonishment, we become even more vulnerable to overconfidence. It's a real risk
of success that must be managed.
- The Risk Planning Fallacy
- The planning fallacy is a cognitive bias that causes underestimates of cost, time required, and risks
for projects. Analogously, I propose a risk planning fallacy that causes underestimates of probabilities
and impacts of risk events.
See also Cognitive Biases at Work and Cognitive Biases at Work for more related articles.
Forthcoming issues of Point Lookout
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- The Storming stage of Tuckman's model of small group development is widely misunderstood. Fighting the storms, denying they exist, or bypassing them doesn't work. Letting them blow themselves out in a somewhat-controlled manner is the path to Norming and Performing. Available here and by RSS on January 22.
- And on January 29: A Framework for Safe Storming
- The Storming stage of Tuckman's development sequence for small groups is when the group explores its frustrations and degrees of disagreement about both structure and task. Only by understanding these misalignments is reaching alignment possible. Here is a framework for this exploration. Available here and by RSS on January 29.
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