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Socialism’s Most Pressing Problem: The Human Mind

Markets, prices, and profits do what socialist central planners cannot: coordinate millions of independent human minds
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We hear much talk about a push for “socialism,” driven by price increases in fuel, housing, food, medical care, and more. The socialism many advocates call for is a political and economic system where the government directs the economy. It controls all the factors needed to produce and deliver goods and services to people.

Many of us have not thought about socialism’s fatal flaw: It eliminates markets and prices for producer goods. These are goods like land, buildings, factories, machinery, raw materials, tools, technological resources, and other forms of capital.

Suppose you were in charge of a socialist economy?

Imagine trying to run an economy with a mountain of statistics but no meaningful prices. You know how many tons of steel you have, how many acres of farmland, how many workers, how many factories, how much electricity, how many trucks. But should that steel become bridges, washing machines, hospital equipment, tractors, or data centers? How would you know?

The fundamental problem with central planning is not only that government planners might be incompetent. The deeper problem is that groups of human minds can’t, by themselves, have the economic knowledge needed to direct large parts of an economy, let alone the whole economy.

Thus, socialism’s fundamental problem is ultimately a problem about the human mind.

How individual choices become economic signals

Every economy must somehow coordinate the desires and decisions of millions of individual human beings. In a free society, each person has his or her own purposes, preferences, knowledge, expectations, and judgments about what to do next. Consumers decide what they want. Workers decide where and how they are willing to work. Entrepreneurs develop improvements to products or services, or imagine ones that don’t yet exist. Investors estimate which projects may succeed. Producers choose among competing technologies and resources. Everyone is continually evaluating alternatives and trying to bring about a future state of affairs that he or she prefers to the present one.

A flourishing economy, therefore, is not simply a collection of factories, machines, raw materials, and workers. It is an enormous network of human minds making valuations, calculations, decisions, exchanges, plans, and forecasts.No central planner can simply collect all that important data because much of it isn’t suited to spreadsheets and databases. It exists as judgments, expectations, observations, preferences, and discoveries inside individual human minds.

Markets empower people to act upon their knowledge without first transmitting it all to a central authority and waiting for a decision. Consumers decide both what they want and how strongly they want it. Producers decide what they are willing to supply. Owners of resources decide what compensation they require before supplying them. Entrepreneurs research future demand. Investors decide which projects are worth investing saved money in. All of these subjective judgments interact through bidding, buying, selling, and sometimes refraining.

All these human interactions together create pricing information. A price is not just a number on a tag; every price communicates the current result of countless human decisions.

In short, each price in each transaction contains information that no single human mind possesses. Prices are thus crucial because they allow one person’s decisions to be influenced by circumstances known only to others.

Why human forecasting is crucial for productivity

By enabling millions of separate human minds to value, choose, exchange, calculate, forecast, experiment, succeed, fail, and learn, markets operate as a system for coordinating them. Such coordination is crucial for producer goods. These are goods that people don’t usually value simply for themselves — goods like land, factories, machinery, raw materials, tools, etc. Their value depends largely upon what people believe about how they can help produce things for sale in the future.In other words, valuing producer goods depends upon the mental element of forecasting.

An entrepreneur looking at a machine does not merely see steel, wires, motors, and computer chips. She imagines a future product and asks questions like:

• Will consumers want it?

• How many items might sell and at what price?

• What will materials cost?

• What might competitors do?

• Will another technology make this machinery obsolete?

• Will consumers’ preferences change?

The economic value placed on the machine therefore depends partly upon expectations about the future. Markets are filled with these competing forecasts.

My brother Bob’s manufacturing adventure

Bob was a skilled craftsman and product manager who showed an turned entrepreneurial side. He opened Northwest Washington Applied Marine (NWAM), a small marine electronics manufacturer, to build the electrical nerve centers of recreational boats. Each such vessel, whether a 16-footer or a roomier 26-foot cruiser, requires a custom designed panel and wiring harness to power pumps, lights, horns, wipers, and many optional accessories. An efficient and reliable electrical system is a life-or-death necessity for boating.

To make the panels and harnesses, Bob needed to set up a shop with tables, work benches, vices and jigs. He then had to specify and get spools of marine grade wire, connectors, breakers, fuse blocks, and switches. At first, he patiently built the assemblies and circuits himself one by one. Soon he got some employees to help. Over time, new boat models arrived on the scene, so Bob needed to expand his inventory of materials and components for them, shelf by shelf.

Tools enabled NWAM’s progress. Work in the early years relied on hand crimpers, cutters, and basic bench equipment. Later, high efficiency machines, costing $10,000 to $80,000, replaced hours of manual work and transformed production speed and consistency. Little NWAM blended craftsmanship and machinery to perform a quiet but vital industrial feat: reliable electrical systems with enough precision to meet boatmakers’ needs.

So NWAM was using producer goods to make other producer goods. There is no way Bob could have known whether his products were cost-effective and efficient uses of labor, materials and tools unless he had market price information. That information told him how much the finished products would sell for so he could project his own future revenue. The boat makers wouldn’t know whether NWAM offered a “good deal” except by comparing products and their prices either. Bob couldn’t have even started his independent venture without price information.

Bob’s knowledge of engineering and assembly showed what was possible, but not what was the most efficient use of resources to serve the buyers and ultimately the boat buyers. In businesses everywhere, the technology and know-how don’t by themselves show which methods use society’s scarce resources more efficiently to serve consumers.

It’s the mind of the entrepreneur that gathers prices, estimates future revenue, considers alternatives, anticipates consumer demand, evaluates risks, and decides whether expected proceeds justify expected costs. It’s not a math problem; it’s an informed, subjective decision.

Government planners’ goals vs. profit & loss calculations

When a central planning agency owns the factories, machinery, land, raw materials, and other major producer goods, those goods are no longer genuinely bought and sold among competing private owners. That means no meaningful market prices for them can emerge.

Planners may still know the physical facts: 100,000 tons of steel, 50 factories, 20 million labor-hours. But these data don’t answer the economic question: Which use of these resources matters most? To which purpose should some or all of these resources go: apartment buildings, farm machinery, refrigerators, medical equipment, power plants, or AI data centers? Those are really questions about competing human purposes.

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In the private enterprise economy, the entrepreneur takes the available information and acts upon her expectations. If she believes consumers will pay more for the resulting product than the resources required cost to produce it, she may invest.

But her belief may be wrong. This is where profit and loss become crucial.

Profit indicates that the entrepreneur has, at least in monetary terms, transformed resources bought at lower market valuations into goods that buyers valued more highly.

Loss, by contrast,indicates that her forecast was mistaken. Perhaps consumers did not want the product strongly enough. Perhaps the entrepreneur paid too much for resources. Perhaps another producer found a superior method. Perhaps circumstances changed.

Profit and loss therefore do something remarkable: They provide feedback to the human mind. They test plans against reality.

In the private enterprise market system, entrepreneurs form expectations, act upon them, see the results, and revise their future decisions. It’s a continuous process of:

valuation → prediction → calculation → action → feedback → learning → revised action.

The socialist calculation problem

Now, compare socialism. The standard version of socialism abolishes private ownership and market exchange of the factors of production. Factories, machinery, land, raw materials, AI data centers, and other producer goods are instead placed under collective or state control. That means there is no marketplace of minds evaluating, making decisions and transacting – and thus no prices to compare.

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So, the planning authority may know the vast quantity of steel, numbers of factories, available millions of labor-hours, and megawatts of electricity. But those physical quantities don’t themselvestell planners which possible use of those resources serves consumers’ wants most efficiently.

All the decisions about what to make, what qualities or specifications are needed, and how many to make of each item, end up being political decisions. Which group of people or government entity has the most influence to drive decisions? Which group convinces government that it is the smartest and most expert at running the economy, from iron ore to skyscrapers?

Unsurprisingly, attempts at full socialism as well as substantial national moves toward socialism have failed, some catastrophically.

Two different ways of coordinating human minds

The question of whether private enterprise and open markets (capitalism) is more efficient at using scarce resources to raise living standards than a socialist central planning system is fundamentally about how human minds can best coordinate in a complex society.

Central planning is an attempt to coordinate economic activity primarily by concentrating decision-making in a planning authority. That’s a political entity; even supposedly independent experts lean toward fashionable ideas or whatever the influential groups want.

Markets coordinate activity differently. They allow millions of people to make separate judgments and then interconnect those judgments through voluntary exchanges of private property, prices, competition, entrepreneurship, profit, and loss.

No individual understands the whole economy nor has all relevant knowledge. No consumer understands the entire production system behind the goods he buys. Yet each person contributes a small piece of knowledge through every choice.

The market isn’t efficient because human beings are all-knowing or perfectly rational. It works precisely because we are not.

Markets don’t just move goods — they coordinate minds

The economic calculation problem is ultimately a human mind problem. Evaluating capitalism vs. socialism, the overarching question is therefore not something like: Who should own and control the factories? Or: How much money should everyone get?

It is: How can millions of separate human minds — each having different values, knowledge, expectations, and plans — coordinate their actions in a world of scarcity and uncertainty? Markets make that coordination possible by turning countless acts of human valuation and judgment into prices, calculations, signals, feedback, and discoveries. The market economy is not merely a system for moving goods. It is the best system for coordinating minds.


Richard Stevens

Fellow, Walter Bradley Center on Natural and Artificial Intelligence
Richard W. Stevens is a retiring lawyer, author, and a Fellow of Discovery Institute’s Walter Bradley Center on Natural and Artificial Intelligence. He has written extensively on how code and software systems evidence intelligent design in biological systems. Holding degrees in computer science (UCSD) and law (USD), Richard practiced civil and administrative law litigation in California and Washington D.C., taught legal research and writing at George Washington University and George Mason University law schools, and specialized in writing dispositive motion and appellate briefs. Author or co-author of four books, he has written numerous articles and spoken on subjects including intelligent design, artificial and human intelligence, economics, the Bill of Rights and Christian apologetics. Available now at Amazon is his fifth book, Investigation Defense: What to Do When They Question You (2024).
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Socialism’s Most Pressing Problem: The Human Mind