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Common Law as a Discovery Procedure

Legislation is central planning for conduct and meets the calculation objection head-on. Adjudication doesn’t demand the information in advance — it generates it at the dispute, from the parties who hold it. Statute plans; precedent discovers.

Links: The Slack in the Law (the parent specimen — the calculation argument arrived there), Aggregation vs. Sorting (voting aggregates, markets sort — adjudication belongs in the sorting column), Mens Rea in Libertarian Law, Government Formation, The Gödel Governance Problem (we need what we cannot complete), Registration and Scope Creep, LiquidZulu Course 1 — draws the same nomos/thesis line but keeps the principles armchair-complete: discovery-as-explication vs this page’s discovery-as-generation

Where this came from

Chris, working through why no legal code can decide every case:

“Action is infinite, laws are finite… it felt the same as the math showing a simulation of reality is greater energy than just reality, and that a computer cannot solve the ECC as it would take more information to recreate it than just live it.”

Then, on the consequence: “I like the common law / market connection as this comes up all the time and deserves its own look as it connects to so much.” This page is that look.

The argument

A legal code is a central plan for conduct, and it faces the Mises–Hayek calculation objection in its original form. The information a planner would need to price every good is dispersed across the people who hold it, largely tacit, and continuously generated by the very activity being planned — so it cannot be assembled in advance. Substitute “decide every case” for “price every good” and the argument goes through unchanged.

Adjudication is the institutional answer with the same shape as a market. It does not demand the information ex ante. It waits for a dispute, at which point:

the information becomes locally available — the parties were there, and they know what happened;
it is elicited under adversarial pressure, which is a mechanism for surfacing what each side would rather omit;
the decision is made by people embedded in the local context (jury) rather than by a drafter imagining the case years earlier;
and the outcome is published as precedent, which is the aggregation step — the accumulation of many local decisions into a signal that later parties can read.

Precedent is to case knowledge what price is to production knowledge: a compressed public summary of a great many private judgements, carrying more information than any participant possesses and none of them had to state.

Hayek made this argument, and named the two things

This is not an analogy invented here. Hayek’s Law, Legislation and Liberty distinguishes two kinds of law, and the distinction is the spine of this page:

	*nomos* — grown law	*thesis* — made law
Origin	discovered through adjudication of disputes	enacted by a legislature
Aims at	resolving conflicts between private parties	achieving a specified outcome
Knowledge required	local, supplied by the parties	global, must be held by the drafter in advance
Analogue	the price system — a spontaneous order	the central plan
Failure mode	slow, path-dependent, can entrench error	over-reach, unintended consequences, the calculation problem

His claim is that a legislature writing general rules of conduct is doing something categorically different from a court resolving a dispute, and that conflating them is how the second kind quietly displaced the first.

⚠ Where the analogy strains — four places, stated up front

A page that only made the case would be advocacy. The disanalogies are real and some are serious:

Feedback is sparse and slow. Prices update continuously and cheaply; a precedent requires someone to litigate, at expense, and may take years. A market with one price update per decade would not clear either.
Precedent locks in. A wrong price is corrected by the next trade; a wrong precedent is load-bearing for everything decided after it, and stare decisis is a mechanism for preserving error, not just knowledge. The path-dependence that makes common law stable also makes it slow to repair.
Judges are not price-takers. A market participant cannot set the price; a judge sets the rule. Adjudication concentrates decision authority in a way exchange does not, which reopens every capture and selection worry — and connects directly to the Gödel Governance Problem: who constrains the constrainer?
⭐ Law needs something markets do not: ex-ante knowability. You want to know the price when you trade; you want to know the rule before you act. Predictability is an argument for codification, and it is the reason bright-line rules are chosen deliberately despite their known error at the margin. This is the strongest objection on the list, because it is not a defect in the discovery mechanism — it is a genuine competing value the mechanism cannot supply.

Which is probably why every mature system runs both — statute layered over common law — rather than choosing. Not confusion: a division of labour between predictability where it matters most and case-fit where it matters most.

⭐ What this does to the automation problem

The parent page argues that automated enforcement pushes law toward rules and away from standards, because a machine can apply the first and not the second. Read through the frame here, that is a sharper claim than it first appears:

Automated enforcement is a mechanism for converting nomos into thesis.

It cannot enforce a standard, so standards become dead letters; it can enforce a bright line perfectly, so bright lines become the operative law. The discovery procedure is not repealed — it is starved, because disputes stop reaching adjudication once the machine has already disposed of them. No precedent forms, no local knowledge is elicited, no signal accumulates.

A society that automates enforcement therefore stops generating the information its own legal order runs on, which is the calculation problem arriving by the back door: not a planner who cannot get the knowledge, but a planner who destroys the process that was producing it.

Open questions

How much of this survives the fact that modern “common law” systems are overwhelmingly statutory? If nomos is already a thin layer on a thick thesis, the discovery mechanism may be describing a system that no longer exists. This is the first thing to check, and it may deflate the whole page.
Does adversarial elicitation actually surface truth, or wealth? The market analogy assumes the process reveals what the parties know. Litigation cost, representation quality and settlement pressure all argue it partly reveals who could afford to keep going — the same objection as markets allocate to willingness-to-pay, not to need.
Is precedent really an aggregation mechanism, or just a lock? Prices aggregate and clear; precedent aggregates but never clears. What would the clearing mechanism be — legislative override, overruling, desuetude?
- ◐ Chris (2026-09-29): mostly a lock. “I am not really a fan of ‘precedent’ as it is culpable of mistakes as much as it gets it right, and no 2 cases are the same.” His model keeps the adjudication (courts settling each case’s details on its own facts) and drops binding precedent, alongside clear, simple rules on the act (Lazy Law). That puts pressure on this page’s slogan, statute plans; precedent discovers. On his view the discovery happens at the dispute, and precedent is where its errors get locked in (compare disanalogy 2 above). Not yet argued out: without precedent, what gives the public the predictability his clear rules are meant to buy, once a case turns on details the rule didn’t spell out?
- Chris’s answer: “the same way they did in the case that would set precedent.. they figure it out.” (Claude’s gloss, confirmed by Chris: “you got precedent down”): precedent correlates judicial errors, so one mistake carries into every later case. Deciding each case fresh keeps the errors independent, so they scatter instead of compounding. The price is consistency, since similar cases can come out differently. That is trading locked-in bias for variance, and it favors fresh decisions when the rules are simple enough that most cases are easy, which is exactly the premise of Chris’s clear-rules model.
Does the strain-list have a systematic shape? Three of the four disanalogies (sparse feedback, lock-in, judicial authority) are about the absence of a cheap correction mechanism. If that is the common root, the interesting design question is not “statute or precedent?” but “what is the legal analogue of a liquid market?”
Connection to Aggregation vs. Sorting, unworked. That page holds that voting aggregates and markets sort, and that increasing returns to coordination make law a network good which consolidates even without coercion. If law is a network good, is a distributed discovery procedure stable at all — or does it consolidate into a single legislature by the same mechanism? That tension is not resolved here and may be the most important open item.
Is there a third form? Nomos and thesis may not exhaust it — arbitration, standards bodies, and insurance underwriting all produce binding conduct rules by neither route. Worth a look, since they are the closest live examples of law-by-discovery in a modern economy.