6 ideas
Risk refers to situations where the distribution of outcomes is known, either a priori (like dice) or statistically from grouping many similar cases. Uncertainty refers to situations that are unique or unclassifiable, where no valid probability distribution can be formed. The distinction is not about how bad outcomes are but about whether the odds can be known at all.
Once a risk can be measured, it can be pooled across many instances through insurance, consolidation, or scale. The predictable loss rate then becomes an ordinary cost of doing business. Because it is absorbed into costs, measurable risk cannot be the source of any lasting profit.
Under perfect competition with perfect knowledge, competition would bid every factor of production up to its full value and eliminate profit. Profit survives only as the residual when outcomes can neither be foreseen nor insured against. It is the uninsurable gap between what the entrepreneur contracted to pay and what the future actually delivers.
A priori probability comes from known symmetric structure, like a fair die. Statistical probability comes from observed frequencies across a large group of similar cases, like mortality tables. Estimates concern unique cases with no valid basis for classification. Only the first two are insurable, and business decisions mostly fall into the third.
In the firm, confident and venturesome people take on the uncertainty, while doubtful and timid people accept fixed contractual payments such as wages, interest, and rent. The entrepreneur guarantees those fixed returns and keeps whatever is left over, positive or negative. Control of the enterprise follows the bearing of uncertainty, because those who guarantee outcomes demand the power to direct them.
Decisions under uncertainty rest on intuitive judgment about unique situations rather than calculation, and this capacity is unevenly distributed. It cannot be reliably hired, because judging another person's judgment is itself uncertain.