Foundation 7

From Principle to Institutional Design

A normative argument becomes institutionally meaningful only when it specifies what should be measured, what may be corrected, who may act, and how uncertainty and error constrain that action.

Scope: This page explains the transition from the MPS normative argument to proposed institutional design. It does not claim that a particular implementation has been legally adopted, empirically validated, or approved by a regulator.

The normative conclusion

The preceding foundations distinguish performance from morally attributable performance, identify the laundering of antecedent advantage through otherwise legitimate market processes, preserve market information and productive incentives, and recognize the limits of causal measurement.

Taken together, those premises support a limited institutional proposition: where non-meritocratic inputs materially influence an economic outcome, institutions may have reason to identify and reduce that influence when doing so can be supported by sufficient evidence, proportionate intervention, and protection for legitimate agency and exchange.

Correction is not outcome equalization

The proposed corrective target is not inequality by itself. The target is the portion of an outcome reasonably attributed to inputs the framework treats as non-meritocratic. A large reward may remain consistent with the theory when it reflects genuine effort, cultivated skill, creative judgment, productive investment, or innovation.

This distinction limits the institutional mandate. A provenance system should not suppress contribution merely because contribution produces unequal returns. It should ask instead whether the conditions that produced and rewarded that contribution were sufficiently fair for the resulting claim of meritocratic desert to be credible.

Four institutional functions

The MPS framework organizes the institutional problem into four related functions. They are analytically distinct, but a practical system would connect them.

1. Provenance Auditing Estimate the causal inputs behind an economic outcome and distinguish, as far as the evidence permits, between meritocratic and non-meritocratic provenance.

2. Advantage Indexing Translate provenance evidence into a probabilistic assessment of the extent to which an outcome reflects non-meritocratic inputs.

3. Corrective Redistribution Use the assessment to inform corrections directed primarily at the processes that generate advantage rather than merely equalizing the outcomes those processes produce.

4. Incentive Preservation Constrain corrective mechanisms so that returns to genuine productive contribution, useful market information, and voluntary economic activity are preserved.

Design requirements

Evidence before correction Corrective decisions should rest on documented evidence and an explainable assessment method rather than status, intuition, or unsupported attribution.

Proportionality The strength of a correction should reflect both the estimated magnitude of the provenance distortion and confidence in the evidence supporting that estimate.

Epistemic humility Uncertainty should remain visible. Where provenance can be estimated only through proxies or imperfect causal inference, the resulting institutional response should reflect that limitation.

Incentive preservation The institution should distinguish non-meritocratic advantage from genuine productive contribution rather than treating all unequal returns as equivalent.

Transparency Material assumptions, methods, and limitations should be available for examination so that provenance assessments are not transformed into an opaque source of institutional power.

Revision Measurements and corrective mechanisms should remain capable of adjustment when evidence, assumptions, or observed behavioral effects change.

Correct the process where possible

The framework gives priority to intervention at the point where non-meritocratic advantage is produced. If unequal access to education, capital, professional opportunity, information, or institutional networks generates the distortion, expanding access to those inputs is more consistent with the MPS approach than mechanically equalizing every economic outcome afterward.

Ex-post correction remains conceptually possible where upstream correction is unavailable or insufficient. But the institutional burden becomes greater: the relevant provenance distortion must be identified, its relationship to the outcome estimated, the uncertainty made explicit, and the remedy calibrated to the non-meritocratic component rather than to the size of the outcome alone.

Markets remain part of the design

MPS is not presented as a replacement for decentralized price formation. Market prices continue to perform an informational function, and voluntary exchange remains presumptively valuable. The institutional question is whether the inputs entering those processes include systematic advantages that the resulting price cannot itself identify.

Provenance correction is therefore framed as a market-embedded intervention: improve the conditions under which competition occurs while preserving the informational and incentive properties that make markets useful.

Measurement does not create authority

The ability to estimate provenance does not, by itself, establish legal or institutional authority to impose a correction. Normative justification, empirical measurement, and lawful authority are separate questions.

Any operational implementation would therefore need to identify the legal basis for the institution involved, the scope of its authority, the information it may legitimately use, and the procedures governing decisions that materially affect participants.

Institutional design should be adaptive

A provenance system should not assume that its first measurement model or corrective mechanism is final. Incentive effects, transaction costs, measurement error, strategic responses, and changing economic conditions can alter the consequences of a policy after deployment.

The framework therefore treats ongoing evaluation and recalibration as part of institutional design rather than as evidence that the original model failed. The same epistemic humility applied to provenance measurement should apply to the institution itself.

What would count as institutional success?

A provenance institution should be evaluated by more than whether it redistributes resources. The relevant question is whether it improves the relationship between economic reward and attributable contribution while avoiding costs that overwhelm that improvement.

Relevant evaluation questions therefore include whether provenance estimates are sufficiently reliable, whether genuine contribution remains rewarded, whether participants can understand the basis of consequential assessments, whether administrative and transaction costs remain proportionate, and whether observed errors lead to revision of the system.

Status: Normative-to-institutional bridge. This page states proposed design constraints derived from the MPS framework. It does not establish legal authority, regulatory approval, or empirical effectiveness.