The Value of Collective Thinking

How many beans are in the jar? That was the question Jack L. Treynor asked his students in 1987. Each participant in the experiment was tasked with estimating the number of beans inside the container. There were exactly 850 beans in it. None of the participants gave the correct answer. After collecting the results, Treynor compared the spread of individual responses with the average result of the whole group. That was when it became clear that the collective judgment was surprisingly precise: the average came to 871, which differed only slightly from the actual number of beans. What is more, only one person achieved a result closer than that collective estimate. 

Several decades earlier, at the very beginning of the twentieth century, Francis Galton analyzed the results of a weight-guessing competition held during a livestock exhibition at a country fair in Plymouth. Participants had to estimate the weight of an ox and write their guesses on slips of paper. The English scholar examined nearly 800 of them and discovered that the average estimate differed from the animal’s actual weight by only a few pounds. Of course, among those making estimates were people professionally involved in livestock breeding and butchery, but the competition also included farmers, merchants, and completely random individuals. Despite this highly diverse “research group,” the average results turned out to be remarkably accurate.

Both cases show that a group can arrive at the correct conclusion even when individuals are mistaken, guessing, or in theory know very little about the subject at hand. Today, we call this phenomenon collective intelligence — the ability of many people to jointly produce better judgments, ideas, and decisions than any one of them could develop alone. It is easy, however, to become fascinated by the very idea of the “wisdom of the crowd” and overlook the fact that it does not always work in the same way or to everyone’s benefit.

The same group that in some conditions can read reality with striking accuracy may, in others, fall into conformity, informational noise, and the repetition of other people’s mistakes. In the world of modern business, this distinction becomes especially important. Companies increasingly operate based on knowledge dispersed among teams, clients, experts, partners, and market data. So, the question is not just whether many voices can be right, but above all: when does that really happen, and how can it be used so that collective thinking becomes an advantage rather than a source of chaos?

Two Heads Are Better Than One

At first glance, the idea of collective intelligence may sound like a glowing tribute to teamwork. However, it is about something far more interesting than simple cooperation. The core of it lies in the fact that different people see different fragments of the same reality. To one person, an idea may look great at the presentation stage; to another, it may immediately seem costly and unprofitable; and from someone else’s perspective, a small detail may emerge that could later determine the success or failure of the entire project. This is especially clear when testing a new product. The user checks whether it is convenient and easy to use, the salesperson immediately thinks about price and broad distribution, the designer focuses on functionality, and the support staff member spots a weak point that will only become visible once the product is in use. A variety of perspectives and evaluations makes it possible to look at a problem or phenomenon more objectively.

The same applies to everyday choices. When we are looking for a hotel, a doctor, or a car, a single opinion usually tells us very little. It is only when we look at several evaluations that we can compare our expectations with a more realistic picture. A single mind, no matter how sharp and intelligent, always looks at a given issue from a specific perspective: through its own experience, habits, knowledge, and limitations. A group has a chance to see more because its point of view is distributed. That is precisely why a collective can arrive at more accurate judgments than an individual. Not because it automatically becomes smarter, but because it combines many incomplete perspectives into a fuller picture.

It Is Not Enough to Sit Down Together and Start Talking

The mere presence of many people does not yet guarantee better thinking. Ten voices do not always mean more than one. For collective thinking to truly work, certain conditions must be met.

• First, relative independence matters: people cannot simply repeat what has already been said by someone more dominant or influential.
• Second, diversity is essential, because a group made up of people who think almost identically will reinforce its own patterns rather than move beyond them.
• Third, there must be a way to gather those different perspectives and organize them meaningfully — for example through discussion, comparison of arguments, voting, testing, or data analysis.
• Fourth, the group must have space to express doubts openly, because without it even the best ideas may disappear under the pressure of haste.

If, during a meeting, the boss speaks first and immediately makes it clear which solution they consider best, the rest of the team will often start aligning themselves with that direction rather than thinking independently. When a group lacks diversity of experience, the effect can be similar: several people look at the problem in almost the same way, so instead of generating new conclusions, they simply reproduce the same patterns. And without a good way of structuring ideas, even very valuable remarks can easily get lost in the flood of voices. This is visible, for example, in brainstorming sessions, which in theory are meant to stimulate creativity but in practice often end in a chaotic exchange of first impressions and the dominance of the most expressive participants.

Collective intelligence works best, then, where a group is not afraid of differences of opinion and, what is more, is able to value those differences and build new conclusions on them. After all, the point is not simply to multiply opinions, but to create conditions in which something genuinely meaningful can be drawn out of many independent voices. Only then does the collective become something more than the sum of people sitting around one table and leaning over the same problem. 

Wikipedia and The Sims — When Collective Intelligence Works Beyond Business

Collective intelligence is not an invention of the internet era, but only today can we truly see how powerful and significant it has become. Wikipedia is a perfect reflection of this — a project that has become so obvious and widespread for many people that it is easy to forget how extraordinary its mechanism really is. It is not created by a single author or a closed team of experts, but by a vast community of people who add entries, correct mistakes, supplement sources, update data, and safeguard their reliability. Some contribute specialist knowledge, others catch inaccuracies, and still others organize the whole or translate content into additional languages. No one does everything alone, yet many people together can create something surprisingly useful. That is one of the reasons why the phenomenon of collective intelligence is becoming so important today. In a world overloaded with information, value lies not only in knowledge itself, but also in the ability to organize, verify, and develop it together.

Collective intelligence can also be seen in the world of games, especially open-world games, where communities actively participate in expanding entire universes. Players create mods, fix bugs, design new maps and items, prepare fan translations, write guides, and build databases without which many titles would be far less accessible to newcomers. Around games such as Minecraft, Death Stranding, and The Sims, entire ecosystems have grown that are co-created by users who do not merely consume the finished product but constantly expand it. Sometimes it is precisely the community that extends a game’s life by years, adding freshness, new features, and original ideas. 

This is a very clear example of the fact that collective intelligence does not consist solely in forming shared opinions. Just as often, it means creating, improving, and developing something together until it becomes larger than the authors’ original vision. That is exactly why it is so difficult today to talk about modern products, services, or brands without considering the role of communities that no longer want only to receive but increasingly want to co-create the product or service itself.

Strength in Numbers — But Always?

Simply bringing many people together in one place does not automatically mean they will start thinking more wisely and effectively as a group. Sometimes it is enough for a few individuals to speak with greater confidence and more loudly than the others, and the rest gradually stop looking for the best solution and begin adjusting themselves to the dominant tone. In psychology, this phenomenon is described as groupthink — a situation in which the need for agreement becomes stronger than the need for critical thinking. A decision is made quickly, no one argues, no one offers corrections — from the outside, the process looks efficient and unanimous. The problem is that such agreement is often only superficial. Doubts do not disappear; they are simply left unspoken, and ideas are never truly tested because no one wants to spoil the atmosphere or risk clashing with the majority. As a result, instead of benefiting from a diversity of perspectives, the group begins to close itself off within its own circle of beliefs. The more people reinforce one another in the same way of seeing things, the easier it becomes to mistake shared agreement for simple convenience.

In business, this trap can be especially deceptive. A project team ignores signals from customers because they do not fit the adopted vision. A company repeats the same solutions because if they worked before, they would surely work again. Executives surround themselves with like-minded people, so genuine discussion is replaced by collective nodding. On top of that comes informational noise, which today — in the era of new technologies and artificial intelligence — is greater than ever. When there is too much data, too many opinions, comments, and analyses, a group does not necessarily make better decisions — it may simply cling to whatever best fits its earlier assumptions. That is when collective intelligence begins to turn into collective illusion. Instead of broadening the field of vision, it narrows it. Instead of correcting mistakes, it reinforces them through repetition. And because all of this happens within a group, the illusion becomes even more convincing, because it is supported not by one person, but by the entire team.

What Determines the Quality of Shared Thinking?

If a group can arrive just as easily at an accurate conclusion as it can get trapped in its own illusions, then the key question becomes the quality of the process itself. What determines the quality of shared thinking is not merely the number of people involved, or even the diversity of their experience, but what the group is able to do with that diversity. One of the most important conditions is psychological safety — an atmosphere in which someone can say “I disagree,” “I have doubts,” or “this might not work” without fearing immediate dismissal or criticism from the rest of the group.

Equally important is the ability to engage in productive disagreement. This is not about conflict for conflict’s sake, but about the kind of clash of arguments that helps people understand the problem more clearly, test assumptions, and identify gaps in proposed solutions. Good shared thinking begins where differences of opinion are not treated as a threat to relationships, but as a tool for refining decisions. In practice, this also means separating the strength of an argument from the position of the person expressing it. If status matters more than the substance of what is being said, the group very quickly falls back into hierarchical thinking — which is, in fact, the opposite of collective intelligence.

In well-functioning and well-managed teams, it is not enough simply to “throw an issue on the table” and hope that the best answer will emerge on its own. What is needed is moderation, a clear purpose for the meeting, space to gather opinions, and then a moment when someone can organize those voices and turn them into something concrete. Sometimes it works better to have people write down their ideas individually first and only then discuss them together. Transparency matters as well: people should know what was considered, what was rejected, and why. Without that, frustration easily arises, along with the feeling that the group discussion was merely a cover for a decision that had already been made and approved much earlier. The quality of collective thinking grows, then, not when everyone speaks a lot, but when the process helps bring out what truly matters. Only under such conditions does a group do more than exchange opinions — it begins to genuinely learn from itself.

Collective Intelligence — How Can Teams and Leaders Foster It?

What can be done to ensure that collective intelligence does not remain an appealing theory, but works in the everyday life of a team? Specific actions are needed — actions that support shared and, above all, effective thinking:

• Make sure everyone has a chance to speak before the team hears the opinion of the leader or the highest-ranking person.
• Invite people with different experiences, competencies, and points of view into the discussion, instead of building a team of people who think almost identically.
• Establish clear rules for discussion, so that disagreements concern arguments and solutions rather than position, personality, or ambition.
• Gather opinions individually first, and only then discuss them together — this reduces the tendency to align with the first voice heard.
• Organize ideas as you go: group them, compare them, and examine their strengths and weaknesses, instead of leaving them as a “dry” list.
• Create space for doubts, questions, and warning signals, even if doing so slows down the decision-making process.
• Regularly test ideas in practice and compare them with data as well as feedback from clients, partners, or audiences.
• Systematically check whether the team is truly searching for the best solution or merely becoming more skillful at justifying an idea to which it has already become attached.
• Treat differences of opinion as material to work with, not as a problem that must be extinguished as quickly as possible.
• Make sure that after the discussion it is clear which conclusions were accepted, what was rejected, and why.
• Remember that collective intelligence does not mean everyone decides everything. Not every issue requires full democracy — sometimes what matters more is that the team can contribute its knowledge, reservations, and perspectives, and then pass them on to the person responsible for the final decision.

In all of this, the role of the leader also remains important. Not as someone who always knows best and already has the answer, but as someone who can create the conditions for a meaningful conversation, allow room for differing views, and avoid turning a meeting into a demonstration of personal power. The leader often sets the tone of the entire process: they can open space for collective thinking or effectively shut it down. Collective intelligence does not, however, absolve anyone of responsibility. Even if a decision matures through many voices, someone must still be able to take charge of it, give it direction, and bear the consequences. Shared thinking should not dilute agency but genuinely strengthen both the team and its leader.

You Can Be Like a Lion, but Ants Will Get More Done 

In nature, collective intelligence is not a theory but a condition of survival. A flock of birds does not make sudden turns because everyone sees everything, but because it can react instantly to signals of danger coming from the environment and from other members of the group. Schools of fish, ant colonies, and swarms of bees work in much the same way — a single animal can do very little, but the collective can move efficiently, avoid danger, and make accurate decisions. Nature has long shown that strength does not always reside in the individual, but often in the quality of the connections between many individuals. If animals can instinctively make use of such a mechanism, it is hard not to ask why humans — equipped with language, experience, analytical tools, and technology — still so often prefer to trust a single dominant voice.

A modern organization should not rely solely on the instincts of one leader — a predator to whom everyone else is expected to submit. Its real strength lies much more in its ability to receive signals from many directions, organize them, and respond quickly. Today, competitive advantage is built not by those who speak the loudest, but by those who listen best and learn faster than others. In business, we still like to think in terms of the lion, even though in practice the logic of ants works far more effectively: fewer individual bursts of heroism, more coordination, alertness, and consistent action together.