Nine Project Management Fallacies: IV

Nan picked up the last chunk of cookie and ate it. Peter and Trish had long ago finished theirs, but Nan liked making cookies last. "The critical thinking fallacies were my favorites," she said. "I like learning how to think more clearly."

Peter sipped his coffee. "Mmm." He swallowed. "But how do we avoid those fallacies?"

Nan had an idea. "Maybe we should inspect our project plans, like we inspect components."

Trish was intrigued. "Yeah, and I know what I'd put at the top of the checklist."

"OK, I'll bite," said Peter. "What?"

Trish was ready. "The Nine Project Management Fallacies."

Not a bad idea. These last three fallacies (Part IV of a little catalog of the fallacies of project management) are errors of critical thinking. For Part III, see "Nine Project Management Fallacies: III," Point Lookout for December 28, 2005.

The Normative Fallacy

This fallacy holds that when we ask some people their opinions, and most of them agree, then they're correct. Usually we select people non-randomly, choosing those who will give us desirable answers, or those we can trust, or those of high rank.

Non-random polling might provide comfort, but it's hardly scientific, and it almost always leads to biased conclusions.

To get truly useful polling data, you must poll people randomly.

The Availability Heuristic

In risk management, we often estimate the probabilities of certain events. We're using the Availability Heuristic [Tversky 1973] when we estimate these probabilities by sensing the difficulty of imagining or understanding the string of events that lead to the risk.

For instance, when we ask people whether death resulting from being attacked by a shark is more or less likely than from being hit by falling airplane parts, they usually answer that death by shark attack is more likely. Actually, death from being hit by falling airplane parts is 30 times more likely, but people are fooled because it's easier to imagine shark attacks, which are more common.

Estimating probabilities is unlikely to produce reliable results. For this reason, the Availability Heuristic is usually considered an example of a cognitive bias. Use real data, or use huge error bars.

The Grandiosity Fallacy

Confronting a problem, we sometimes address a generalization of the problem instead, hoping to solve a host of similar problems, and thereby solving the original problem almost "for free." Rarely does the reality match the wish.

Grandiosity usually generates two kinds of trouble. First, it's often more expensive and time-consuming than originally estimated. Second, the people of the organization rarely want the general solution. If they did, they probably would have sought it in the first place.

Sometimes customers don't know the value of the general solution, and telling them about it might produce a better outcome. But usually they want only what they asked for. Work with them on that first.

Track the incidence of these nine fallacies in your organization. Use them to inspect project plans. Probably your projects will have fewer surprises, or at least you'll be just a little less likely to be hit by falling airplane parts. First in this series   Top    Next Issue

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For more on cognitive biases, see "The Focusing Illusion in Organizations," Point Lookout for January 19, 2011.

Footnotes

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Related articles

More articles on Project Management:

The Politics of the Critical Path: I

The Critical Path of a project or activity is the sequence of dependent tasks that determine the earliest completion date of the effort. If you're responsible for one of these tasks, you live in a unique political environment.

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Wishful "thinking," as we call it, can arise in different ways. One source is the pattern of choices we make when we interpret what we see, what we hear, or any other information we receive. Here's Part II of an inventory of ways our preferences and wishes affect how we interpret the world.

Unresponsive Suppliers: II

When a project depends on external suppliers for some tasks and materials, supplier performance can affect our ability to meet deadlines. How can communication help us get what we need from unresponsive suppliers?

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At times, when the unexpected occurs, we recognize with hindsight that the unexpected could have been expected. How do we miss the obvious? What's happening when we do?

The Ultimate Attribution Error at Work

When we attribute the behavior of members of groups to some cause, either personal or situational, we tend to make systematic errors. Those errors can be expensive and avoidable.

See also Project Management and Critical Thinking at Work for more related articles.

Forthcoming issues of Point Lookout

Coming August 19: Motivated Reasoning

When we prefer a certain outcome of a decision process, we risk falling into a pattern of motivated reasoning. That can cause us to gather data and construct arguments that lead to the outcome we prefer, often outside our awareness. And it can happen even when the outcome we prefer is known to threaten our safety and security. Available here and by RSS on August 19.

And on August 26: Motivated Reasoning and the Pseudocertainty Effect

When we have a preconceived notion of what conclusion a decision process should produce, we sometimes engage in "motivated reasoning" to ensure that we get the result we want. But when we do this in relation to a chain of decisions in the context of uncertainty, trouble looms. Available here and by RSS on August 26.

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