Confidence is one of the qualities most often associated with leadership. Investors want to hear it from founders. Employees look for it from managers. Customers tend to trust businesses that project it. In many professional settings, confidence signals competence, decisiveness, and experience.
Yet confidence and accuracy are not the same thing.
A person can be highly confident and completely wrong. Another person may express uncertainty while offering a far more accurate assessment of reality. The distinction may seem obvious in theory, but it is surprisingly easy to overlook in practice, especially in environments where leaders are expected to provide answers even when information is incomplete.
For Ryan McCorvie, a Berkeley-based mathematician, the distinction between confidence and accuracy touches on a broader challenge facing modern organizations. Businesses constantly make decisions under conditions of uncertainty. Markets change, customer behavior evolves, competitors respond unexpectedly, and economic conditions shift.
“In those situations,” says McCorvie, “success often depends less on projecting certainty and more on understanding what is actually known, what remains uncertain, and how new information should influence decisions.”
Why Confidence Can Be Misleading
People naturally associate confidence with expertise. When someone speaks decisively and appears certain, it is easy to assume they possess superior knowledge.
Research in psychology suggests the relationship is not always so straightforward. One of the most widely discussed findings in decision science is the tendency toward overconfidence. Studies spanning decades have shown that people routinely overestimate the accuracy of their judgments, forecasts, and predictions. In many cases, individuals express high levels of confidence even when their conclusions prove incorrect.
This tendency appears across professions and industries. Executives, investors, analysts, and experts are not immune. Experience often improves judgment, but it does not eliminate the human tendency to become overly certain about future outcomes.
The problem is not confidence itself. Organizations need leaders who can make decisions and move forward despite incomplete information. Difficulties arise when confidence becomes disconnected from evidence. At that point, certainty can discourage critical thinking, reduce curiosity, and make it harder for organizations to recognize when assumptions no longer match reality.
Ryan McCorvie: Accuracy Often Requires More Humility
One of the less appreciated aspects of good decision-making is that accuracy frequently begins with acknowledging uncertainty.
This can feel counterintuitive. Many people assume strong leaders should always have answers. Yet history provides countless examples of organizations that struggled because decision-makers became too attached to a particular belief or forecast.
“The most effective leaders often demonstrate a different approach,” notes McCorvie. “They develop convictions based on available evidence while remaining willing to revise those convictions when new information emerges. Rather than viewing uncertainty as a weakness, they recognize it as an unavoidable feature of complex decisions.”
A useful example comes from research conducted by psychologist Philip Tetlock, whose work on forecasting examined why some people make more accurate predictions than others. Tetlock found that the most successful forecasters tended to be intellectually flexible. They updated their views as circumstances changed, sought out conflicting information, and avoided becoming overly committed to a single explanation. Their advantage was not superior confidence but a greater willingness to learn.
That lesson extends well beyond forecasting. Businesses often benefit when leaders create environments where questions are encouraged, assumptions are tested, and changing one’s mind is viewed as a sign of thoughtful analysis rather than inconsistency.
The Cost of Mistaking Confidence for Accuracy
Organizations sometimes pay a significant price when confidence receives more attention than evidence.
A leadership team may become convinced that customer demand will remain strong despite emerging signs of change. A company may pursue an expansion plan based on optimistic assumptions while overlooking potential risks. An executive may dismiss concerns because previous successes have reinforced the belief that their instincts are always correct.
In each case, the issue is not confidence alone. The issue is allowing confidence to replace evaluation.
History offers numerous examples. During the years leading up to the 2008 financial crisis, many institutions operated under assumptions that housing prices would continue rising and that risks were adequately understood. The confidence surrounding those assumptions contributed to decisions that proved extraordinarily costly when conditions changed.
While most businesses will never face challenges on that scale, the underlying principle remains relevant. Organizations perform better when they regularly examine whether their confidence is supported by evidence rather than habit, momentum, or wishful thinking.
Building a Culture That Values Evidence
The strongest organizations do not eliminate confidence. They place it in the proper context.
Leaders still need to make decisions. Teams still need direction. Businesses cannot wait indefinitely for perfect information. What successful organizations often do differently is create processes that encourage evidence-based thinking alongside confidence.
This can take many forms. Teams may conduct post-project reviews to evaluate what assumptions proved correct and which did not. Leaders may actively seek dissenting viewpoints before making major decisions. Organizations may encourage employees to challenge ideas respectfully rather than simply agree with the most senior person in the room.
These practices do more than improve individual decisions. They strengthen an organization’s ability to learn.
Ryan McCorvie’s work frequently reflects this perspective. Quantitative thinking is not simply about numbers or mathematical models. At its best, it is a disciplined approach to evaluating evidence, recognizing uncertainty, and improving understanding over time. The objective is not to eliminate judgment but to make judgment more reliable.
Confidence Is Most Valuable When Paired With Curiosity
The business world often celebrates certainty. Stories about bold leaders and decisive actions tend to attract attention because they are easy to understand and easy to admire.
Reality is usually more complicated.
Many successful decisions emerge from a combination of confidence and curiosity. Leaders need enough confidence to act, but they also need enough curiosity to question assumptions, examine evidence, and remain open to changing course when circumstances warrant it.
That balance becomes increasingly important as organizations face complex challenges that rarely have obvious solutions. Markets evolve quickly. Technologies advance. Customer expectations shift. In that environment, confidence alone offers limited protection against mistakes.
Accuracy, by contrast, depends on a willingness to learn.
The difference between confidence and accuracy may appear subtle, but it can shape the quality of decisions throughout an organization. Businesses that recognize the distinction are often better positioned to adapt, improve, and make sound choices over the long term. As Ryan McCorvie’s work illustrates, understanding uncertainty does not weaken decision-making. In many cases, it is what makes better decisions possible in the first place.
