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The Plight of Business Forecasting

Ludwig von Mises · 1990

The Plight of Business Forecasting

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Ludwig von Mises, “The Plight of Business Forecasting” — Summary

This file is a short reprinted magazine essay, followed by a brief editorial transition introducing “Mises as Critic.” Its main body is not a forecasting manual but a methodological polemic: Mises argues that economics can explain why credit booms end in crises, but it cannot scientifically predict the date, size, or precise sequence of a coming downturn.

Mises begins from a practical anxiety familiar in boom periods. Businesspeople know that an artificial boom is unstable, and they therefore ask economists to tell them when to sell, liquidate, or protect themselves.

People by and large know today that a boom brought forth by a policy of credit expansion and "easy money" cannot last forever and must sooner or later lead to a slump.

The essay’s first conceptual move is to separate causal theory from market timing. Mises restates the Austrian “monetary or circulation-credit theory” of the cycle: governments and parties try to force interest rates below their free-market level through bank-credit expansion; the resulting boom is artificial and must end in depression. His target is not merely bad forecasters but the public misconception that economics is “the art of predicting tomorrow’s business conditions.”

This economic doctrine, the so-called monetary or circulation-credit theory of the business cycle, is irrefutable.

The next section, “Economics: Not Quantitative,” supplies the methodological core. Economics can predict the kind of consequence that follows from a policy, but not the measurable details of its timing. Natural science can rely on constant quantitative relations; human action cannot. For Mises, this is not a temporary immaturity of economics but a permanent feature of its subject matter.

There is not, and there cannot be such a thing as quantitative economics.

This is the essay’s key distinction: economic law is qualitative, while business forecasting claims quantitative and calendrical knowledge. Hence the economist may know that credit expansion distorts production and cannot be sustained, but cannot know exactly when the cumulative strains will break.

Economics can only tell us that a boom engendered by credit expansion will not last.

Mises then attacks the statistical basis of forecasting. Statistics, he says, belong to history: they arrange past facts in quantitative form but cannot transform them into knowledge of future human choices. Forecasting built from trend lines mistakes retrospective description for prospective science.

The usual method employed in business forecasts is statistical and, thereby, retrospective.

The point is not that statistics are useless, but that they cannot answer the question for which businessmen consult forecasters. Past trends may continue, accelerate, reverse, or be interrupted by new policies and expectations. If the future were only the past extended forward, there would be no uncertainty to forecast.

But as this is not the case, what is called economic forecasting is merely guesswork.

The final section deepens the critique by showing that successful public forecasting would be self-defeating. If economists could announce the date of the crash, all market participants would act at once on that knowledge: they would sell, stop buying, hoard cash, and thereby bring the crash forward immediately. The forecast would not allow privileged escape unless only one person possessed it; once generally believed, it would alter the very conditions it claims to describe.

At the very instant this forecast was uttered and accepted as correct, the crisis would already be consummated.

The essay therefore combines Austrian cycle theory with a theory of reflexive expectations. Its relevance lies in its challenge to technocratic macroeconomic prediction: Mises concedes causal explanation while denying scientific market prophecy. Economics can identify the consequences of interventionist credit policy, but “business forecasting” promises a precision that the logic of human action and the social effects of prediction make impossible.

The appended “Mises as Critic” passage shifts genre, presenting Mises as a reviewer and teacher who used books as occasions for broader economic argument. It also qualifies the sternness of the essay: although pessimistic about state power and violations of freedom, Mises is portrayed as optimistic about the capacity of individuals to recover sound principles through reasoned inquiry. Thus the file frames the forecasting essay as part of a wider intellectual project: defending economic theory against fashionable error while preserving confidence in the educability of free minds.

Sections

This work was divided into 6 sections when it entered the library's research corpus—an apparatus for search and citation, not necessarily the author's own table of contents. Each title opens its summary.

  1. 1The Plight of Business Forecasting: Introduction▾
  2. 2What Brings About the Slump▾
  3. 3Economics: Not Quantitative▾
  4. 4Statistics: Necessarily Retrospective▾
  5. 5The Self-Contradiction of Forecasting▾
  6. 6Part III: Mises as Critic▾

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