The archive.

Economic figures acquire authority because they look precise, and that appearance, Morgenstern argues, is often typographical rather than epistemic. His revised methodological study insists economics learn what the natural sciences long ago accepted: every observation carries an error, and no serious use of data can ignore its size. Ranging across foreign trade and gold-movement statistics, business accounting, national income, and growth-rate computation, he shows how paired export and import reports fail to match, how revisions never settle, and how deliberate concealment distinguishes economic data from a nature that does not lie. The demand is not for less quantification but for more honesty about it: reliability estimates, stated error ranges, and a refusal to let refined econometric operations amplify the illusion of knowledge. Data, on his account, become scientific information only when integrated with theory.

We must carefully distinguish between what we think we know and what we really do and can know.

A firm, an army, a university, a logistics system: none can be understood as a mere sum of its inputs, because their capacities depend on arrangements of authority, information, timing, and control. Morgenstern's unfinished RAND memorandum clears the ground for a future quantitative theory of organization, arguing that economics has treated the firm as a black box and lacked even a descriptive language for what happens inside it. He builds one, distinguishing inner from outer activity, defining operations as chosen sequences of acts, and replacing organic metaphors with "competences," units delegated authority to set variables within domains. Signals activate them, memory sustains them, control counters the drift toward disorder. Written in 1951, the memorandum anticipates cybernetics, information theory, operations research, and bounded rationality, insisting that careful phenomenological description must precede any premature axiomatization.

Organization in itself, wherever it occurs, whether in social or natural life, is something exceptional and extraordinary.

Even a fully developed economic theory, Morgenstern contends, would leave many policy problems unsolvable — because policy adds demands theory never faces: aims stated quantitatively, timing, tolerated side-effects, feasible computation, and, decisively, a list of admissible means. A problem impossible under one set of permitted operations may become trivial under another, as squaring the circle, Columbus's egg, and the Gordian knot each illustrate. Unemployment could be 'solved' by conscription, work camps, or forced relocation; ruling those out changes the problem itself. Invoking Gödel as a reminder that decidability runs deep, he separates the theoretical solution from the policy solution and warns that civilization, by narrowing the morally acceptable instruments of action, tends to make its economic problems harder even as economic knowledge advances.

The statement that a problem has no solution for a given set of means is exactly equivalent to stating that a contradiction prevails.

Strip a system of its outer layers and something eventually gives way, not gradually but all at once. Morgenstern's essay builds a vocabulary for that threshold, introducing compressibility, the selective reduction of an economy or organization that preserves its defining function, against the kernel, the minimal core below which the thing ceases to be what it was. He resists the picture of total connectedness implied by input-output schemes read as if every cell were indispensable, since such a system would collapse at the first loss. Real economies, armies, and bureaucracies instead shed activities, reorganize, and substitute; war, scarcity, and damage reveal cores that abundance ordinarily hides. Part II turns to economic constants, denying that economics has physics-like constants while insisting on firmer physiological and technological bounds, from caloric minimums to reproduction times, beneath the shifting surface of prices.

A system will be said to be totally connected if the destruction of any of its parts destroys the whole system, i. e., deprives it of all of its functions.

Gold seemed the one balance-of-payments figure a statistician could trust: physically definite, internationally traded, central to gold-standard theory. Applying a single reciprocal test — country A's reported gold exports to B should match B's reported imports from A — Morgenstern finds the trust misplaced. For the United Kingdom, United States, Germany, France, and Canada in 1900, 1907, 1928, and 1935, the paired ratios refuse to cluster near unity and sometimes turn absurd, worst of all in the classical gold-standard years. Earmarking, transit trade, misclassification of gold and silver, and traveler-carried coin all corrupt the record, and no scientific ground exists for preferring one nation's figures over another's. If the best-looking data are this poor, he warns, a sound theory cannot rest on them — and trade statistics are likely worse still.

There is no reason why, say, an American economist or a man from Mars should prefer one set of these statistics over the others.

Science cannot supply political ends — but it can discipline the pursuit of them. That Weberian conviction anchors Morgenstern's 1956 lecture to the Nordrhein-Westfalen research society, which argues that no policy problem is even defined until one names the permitted means: unemployment looks wholly different if wage cuts, public works, or inflation are allowed. He welcomes mathematics, statistics, and electronic computation — linear programming, input-output analysis, a manganese-supply example — as ways to force objectives, quantities, and timing into the open. Yet formalization is not wisdom. Where the state truly commands its variables, quantitative methods improve decisions; where unions, cartels, and rival states react strategically, there is no single optimum, only game-theoretic solution sets and imputations. Calculation can rank feasible actions, he insists, but it cannot choose values or dissolve political conflict.

Die Theorie zeigt, daß es in diesen Fällen kein „Optimum“ gibt, keine „beste“ Lösung, sondern es gibt unendlich viele Verteilungsschemata oder „Zurechnungen“ für das Ergebnis, von denen jedoch nur einige zusammen als „Lösung“ angesehen werden können.

English translation: “The theory shows that in these cases there is no 'optimum,' no 'best' solution, but rather there are infinitely many distribution schemes or 'imputations' for the outcome, of which, however, only some together can be regarded as a 'solution.'”

The classical gold standard is often imagined as a self-regulating machine; this dense National Bureau study replaces that image with a practical arrangement of tolerable deviations and institutional adaptation. Comparing monthly interest rates, exchange rates, gold points, arbitrage, and central-bank discount policy across the United States, Britain, France, and Germany for roughly 1870–1914 and 1925–1938, Morgenstern shows that mint par was rarely touched, that gold points depended on shipping costs and market practice, and that money markets displayed a bounded 'solidarity' rather than exact convergence. A new quantitative measure of inter-market 'effort' or stress runs through the analysis. World War I emerges as the great structural break, shattering a prewar coherence the interwar gold-exchange standard never restored — and throughout, he insists that fragile statistics cannot bear more theory than their quality allows.

Economic statistics are—in the overwhelming majority of cases—not scientific observations.

Nuclear weapons, delivery systems, and the sheer speed of technological change have made national defense a strategic problem that inherited military categories can no longer grasp. Treating the arms race as a grim equilibrium, Morgenstern argues that neither side can safely reduce effort unless reductions are mutual, credible, and enforceable, so survival becomes a constraint prior to any budget. Defense is never a matter of the single best weapon but of strategies tested against an adapting opponent: interception screens answer yesterday's threat while the next generation is designed to evade them, and stopgaps such as keeping bombers permanently airborne founder on fuel and logistics. Cities, valuable and hard to protect, pose the severest problem. Rejecting both panic and wishful thinking, he makes the case that creative technical thinking, not standardized production, will decide survival.

Unilateral action to reduce the arms race is impossible and not compatible with the desire for national survival.

A single correlation or average lag can conceal different relationships between short-term fluctuations and long-term movements. In this 1961 Princeton research memorandum, Oskar Morgenstern asks what economists could discover by separating those temporal scales rather than imposing familiar business-cycle classifications. Drawing on communication engineering, he advocates spectral analysis as a way to detect rhythms within aggregate data and examine how series interact at different frequencies. His example of New York money-market rates makes the stakes concrete: longer-term components can show greater lags than shorter-term ones. Yet finer measurement is not economic explanation. Morgenstern’s proposal turns on a demanding tension: longer records improve frequency analysis, but also span institutional and technological changes that may undermine its assumptions. Readers encounter a research program in which statistical discovery challenges theory without claiming to replace it.

Railroad share battles, the advertising war between Lestoil and Procter & Gamble, Coca-Cola against Pepsi, European cartel threats and compensations — business life, this essay argues, is a tissue of strategic situations that ordinary maximization cannot describe. Conceding that game theory stands as an autonomous branch of mathematics, Morgenstern presses the harder claim that economic reality is itself frequently a game: the moment a rival controls a decisive variable and reacts, the normal maximum assumptions fail. Walrasian equilibrium and the crossing of demand and supply curves become special constructions that hide number, timing, and coalition. His strongest preference is for cooperative n-person theory, which can model mergers, wage bargains, proxy fights, and above all 'Macht' — power that marginal-productivity theory has no place for. Where power exists, he concludes, the prevailing theory must give way.

Es gibt kein Geschäft ohne Geschäftsgeheimnis.

English translation: “There is no business without a business secret.”

Are there limits to the use of mathematics in economics? The question, this essay answers, is wrongly posed: the obstacle lies not in the subject but in whether economists understand what mathematics is and formulate their problems well. Morgenstern dismisses the usual objections — psychology, non-quantitative data, expectations, unmeasurable utility — by noting that mathematics is not merely quantitative, that no deep gulf separates a simple addition from an integration. Economics erred not by too much formalism but by shallow model-building, borrowing equilibrium from mechanics and casting agents as solitary maximizers under fixed conditions. Game theory marks the conceptual break, supplying a mathematics fitted to strategic interdependence; expected utility, axiomatized, replaces cumbersome indifference curves. Since natural science once remade mathematics, he expects social science to do the same, leaving no fixed boundary that can honestly be drawn.

Nichts ist leichter, als die eigene Beschränktheit für die der Methode oder des untersuchten Gegenstandes zu halten.

English translation: “Nothing is easier than to mistake one's own limitations for those of the method or of the subject under investigation.”

When an economic model fails, has mathematics reached its limit—or has the economist posed the wrong problem? In this 1963 research memorandum, Oskar Morgenstern defends mathematical economics while challenging the substitution of formal elegance for economic understanding. Drawing on his work with von Neumann, he argues that uncertainty and strategic interaction demand more than techniques borrowed from mechanics: they may require new concepts and new mathematics. His examples make the distinction concrete. Counting equations does not prove that an equilibrium exists; treating agents as isolated maximizers can miss their dependence on one another’s choices. Readers encounter a defence of rigorous reasoning that grants no automatic prestige to symbols or axioms, and insists that historical, experimental, and statistical inquiry remain indispensable.