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Cognitive Biases

Reference Class Forecasting

Reference class forecasting uses statistical data from similar past projects to provide an outside view, counteracting the planning fallacy's optimistic bias by leveraging distributional information.

THE IDEA

MITIGATING THE PLANNING FALLACY

Reference class forecasting puts the outside view into practice. Danish planning researcher Bent Flyvbjerg, described in this account as based at Oxford University, offered this guidance:

The prevalent tendency to underweight or ignore distributional information is perhaps the major source of error in forecasting. Planners should therefore make every effort to frame the forecasting problem so as to facilitate utilizing all the distributional information that is available.

This may be considered the single most important piece of advice regarding how to increase accuracy in forecasting through improved methods. Using such distributional information from other ventures similar to that being forecasted is called taking an “outside view” and is the cure to the planning fallacy.

The treatment for the planning fallacy has now acquired a technical name, reference class forecasting, and Flyvbjerg has applied it to transportation projects in several countries. The outside view is implemented by using a large database, which provides information on both plans and outcomes for hundreds of projects all over the world, and can be used to provide statistical information about the likely overruns of cost and time, and about the likely underperformance of projects of different types.

The forecasting method that Flyvbjerg applies is similar to the practices recommended for overcoming base-rate neglect:

  1. Identify an appropriate reference class (kitchen renovations, large railway projects, etc.).

  2. Obtain the statistics of the reference class (in terms of cost per mile of railway, or of the percentage by which expenditures exceeded budget). Use the statistics to generate a baseline prediction.

  3. Use specific information about the case to adjust the baseline prediction, if there are particular reasons to expect the optimistic bias to be more or less pronounced in this project than in others of the same type.

Flyvbjerg’s analyses are intended to guide the authorities that commission public projects, by providing the statistics of overruns in similar projects. Decision makers need a realistic assessment of the costs and benefits of a proposal before making the final decision to approve it. They may also wish to estimate the budget reserve that they need in anticipation of overruns, although such precautions often become self-fulfilling prophecies. As one official told Flyvbjerg, “A budget reserve is to contractors as red meat is to lions, and they will devour it.”

Organizations face the challenge of controlling the tendency of executives competing for resources to present overly optimistic plans. A well-run organization will reward planners for precise execution and penalize them for failing to anticipate difficulties, and for failing to allow for difficulties that they could not have anticipated—the unknown unknowns.

When to use it

  • Evaluating a business proposal to ensure realistic cost and revenue forecasts by comparing with similar ventures.

  • Planning a software development project by analyzing historical data from comparable projects to estimate completion time and budget.

  • Setting a budget for a home renovation by researching average costs and delays from local contractors or databases.

  • Government approval of infrastructure projects, using reference class forecasting to provide unbiased cost-benefit analysis and reserve allocation.

FROM THEORY TO EVERYDAY LIFE

In practice

01

Transportation Project Overruns

Flyvbjerg used data from transportation projects to inform forecasts. In an illustrative application, planners find a baseline cost overrun of 30% among comparable railway projects, then examine whether specific features justify adjusting that baseline.

02

Kitchen Renovation Planning

A homeowner uses data from comparable renovations to plan time and cost. For illustration, suppose the comparison shows an average 20% cost overrun and a 2-week delay. Those figures provide a baseline to examine, rather than relying only on the homeowner’s preferred schedule.

✳

A MOMENT TO REFLECT

Put it to work.

  1. Think of a project you are currently planning. What reference class would you use to generate a baseline prediction, and what statistics would you gather?

  2. How might the planning fallacy affect your personal goals, such as completing a home project or learning a new skill?

  3. What steps can you take to adopt an outside view in your decision-making, especially when you feel overly optimistic?

Connected ideas

Another lens can bring the same problem into focus.

Often confused with

References

  1. Reference class forecasting in transportation projects — Bent Flyvbjerg

CONTINUE THE CONVERSATION

Source texts

  • Thinking, Fast and Slow (Daniel Kahneman)
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