Readify

Tacit knowledge

The Wisdom of Crowds

Tacit knowledge is understanding rooted in a particular place, job, or experience: valuable information that its holder cannot easily summarize or convey to others. The book makes it central to the case for decentralization. People close to a problem may know what a distant planner cannot, but organizations must also create ways for such local knowledge to travel and contribute to collective decisions.

Definition and Local Knowledge

The term identifies knowledge that is not readily transferable in a report or instruction because it is bound up with specific experience. Its importance follows from a practical presumption: the closer someone is to a problem, the more likely that person is to have a workable solution. The book traces this principle to different settings, from ancient Athens, where local demes handled decisions about festivals and regional magistrates dealt with most minor crimes, to the counsel given to Moses to judge only great matters and leave the rest to local rulers.

Tacit knowledge is not merely a store of facts waiting to be collected. Its value depends on the situated experience that makes it intelligible and useful. That makes the knowledge difficult to centralize: a distant authority may receive a description without possessing the experience behind it. The organizational problem, accordingly, is not just to gather information but to make use of the knowledge held by people closest to the work.

Decentralization and the Problem of Aggregation

Decentralization encourages specialization in labor, attention, and expertise. It can enlarge the range of perspectives and information available across a system, even as each person’s focus becomes narrower. Its strength is that individuals can develop local knowledge independently while coordinating their activity with others. Its weakness is that knowledge discovered in one part of the system may never reach the rest, leaving useful information isolated and less effective than it could be.

The book therefore distinguishes decentralization from mere fragmentation. A crowd, company, or intelligence agency needs to preserve the local and specific character of individual knowledge while making it collectively useful. The example of Google’s search system illustrates this balance: it draws on the local knowledge of millions of webpage operators and aggregates it to improve searches. The aim is not to replace local judgment with a single planner, but to connect specialized contributions without erasing their origins.

Intelligence and Organizational Failures

The intelligence community’s difficulties before September 11 illustrate what happens when decentralization lacks aggregation. Dividing work among agencies could support specialized analysis and varied perspectives; the failure was that there was no effective mechanism to aggregate judgments as well as information. The result was decentralization without organization: the knowledge held by analysts across the National Security Agency, CIA, and FBI could not be brought together as a collective assessment.

A proposed solution was to create a central intelligence agency that could place information under one authority. The book argues that this might address the problem of sharing while sacrificing the diversity, independence, and local knowledge that decentralization provides. The alternative is to aggregate without reverting to traditional top-down control. Linking agency databases, for example, could improve information flow while preserving their autonomy. Even two years after September 11, the government still lacked one unified watch list drawing on data across the intelligence community—a basic failure of connection rather than a shortage of centralized command.

Hierarchy and the Loss of Experience

The same tension appears inside corporations. A rigid hierarchy can obstruct the movement of information between the factory floor and senior executives. At a General Motors plant in Van Nuys, California, a worker had spent two years welding a bracket without knowing that it held the car’s sunshade. When a supervisor showed workers that a missed bracket meant carpet had to be torn out and the bracket welded in later, one worker expressed surprise at what the part actually did. The episode makes the cost of disconnected work concrete: experience at one point in production did not come with knowledge of the larger task.

The book also describes how layers of management can make information harder to move upward. One company’s chart mapped 223 bureaucratic routes a new product idea might have to traverse before acceptance. In such a system, executives risk seeing an imagined corporation rather than the one employees experience. The issue is not simply that workers possess useful information; the organization’s structure and incentives can prevent them from communicating it. Studies cited in the book found that executives anxious to advance communicated problem-related information less accurately, while upward mobility was associated with withholding news of failures and difficulties.

Local Authority and Collective Intelligence

The organizational implication is to let people close to local problems make decisions where possible, rather than assuming every problem must travel up a hierarchy and every solution return down it. Experience can supply knowledge that managerial expertise lacks, and the advantages of specialization and local knowledge may outweigh the benefits of making decisions farther from the work. The book notes that genuine employee involvement remains uncommon, despite evidence that stronger employee authority and independent decision-making are features of successful companies.

Tacit knowledge thus names both a resource and a design problem. Dispersed experience can make a group more capable than any small center of decision-makers, but only if the organization has ways to connect what its members know. Centralization may collect authority without capturing judgment; decentralization may preserve independence without producing a shared understanding. The challenge is to aggregate local knowledge without dissolving the local conditions that make it valuable.