Haute Lumière
Commerce · VI.01 · MMXXVI · daylight
For the personal student. A term of practice on one question: what does it cost to decide a thing, and who pays when it is decided? Everything here is applied to a life you are actually living — a household, a flat share, a student society, a band, a research group, a family.
Most governance teaching gives you a taxonomy: here is majority rule, here is consensus, here is a board. A taxonomy is a thing you can be examined on and cannot use.
This workbook gives you an instrument instead. By the end of a term you will be able to take any group you belong to, count its members, estimate two parameters from your own observation, and compute the threshold that group should be using for a given class of decision — and then say, out loud and with a figure, who is paying for the rule it currently uses.
That is a small skill and it is unreasonably powerful, because almost nobody has it. Committees you will sit on for the rest of your life set their rules by instinct and defend them by principle. You will be the person in the room who can say this rule costs us about this much, and it costs them about that much, and here is the one that costs less than both.
Exercise 1.1 — The rule census (2 hours)
Pick four groups you belong to. Make them different in size: something with three or four people, something with nine or ten, something with fifty, something with hundreds. For each, write down in one page:
That fourth column is the exercise. It is the loss term in the external-cost curve and it is the only input most groups never estimate.
Exercise 1.2 — Find the blocking coalition (1 hour)
For each of the four groups, compute n − k + 1 — the smallest number of people who can stop something. Then name them. Not their role: their names. Under a 6-of-9 rule it takes four people to block. Under a unanimity rule it takes one.
Write one sentence for each group: "In this group, the following people, acting together, can stop anything." If that sentence surprises you, you have just learned what your group's rule actually is, as opposed to what it says.
Exercise 1.3 — Appreciative interviews (3 hours)
Ask three people in one of these groups the same three questions, and write down what they say rather than what you expected:
You are looking for the positive core: this group already decides some things well, and the conditions that make that possible are in the answers.
Exercise 2.1 — Estimate p by observation (1 week)
p is the probability that a given member accepts a given proposal. You cannot look it up; you estimate it. For one group, over one week, record every proposal made and how many members supported it on first hearing. Divide total supporters by total (proposals × members). That is your p.
Most student groups land somewhere between a half and three quarters. The chapter uses 0.60. If your figure is far from that, your subsequent numbers will be different from the chapter's and that is correct — the shape of the curve is the claim, and the level belongs to your parameters.
Exercise 2.2 — Build the table by hand (2 hours)
For a group of nine at p = 0.60, with one round costing £3,240 and twelve contested decisions a year, and a loss of £30,000 to a member left outside the winning coalition, reproduce this table yourself. Use the binomial tail; a spreadsheet is fine, and so is lib/verify/VI_01.py.
k P(X>=k) rounds decision £/yr external £/yr total £/yr
4 0.9006 1.11 43,169 200,000 243,169
5 0.7334 1.36 53,011 160,000 213,011
6 0.4826 2.07 80,562 120,000 200,562
7 0.2318 4.31 167,740 80,000 247,740
8 0.0705 14.18 551,146 40,000 591,146
9 0.0101 99.23 3,858,025 0 3,858,025
Do not move on until your numbers match. The point is not the arithmetic; it is that you have now personally produced 99.23 rounds for unanimity and will never again hear someone propose it without seeing that figure.
Exercise 2.3 — Move one parameter (1 hour)
Now change only the loss and watch the optimum move: £5,000 → 4 of 9 (44.4 per cent), £10,000 → 5 of 9 (55.6 per cent), £30,000 → 6 of 9 (66.7 per cent), £100,000 → 7 of 9 (77.8 per cent), £300,000 → 8 of 9 (88.9 per cent).
Write two sentences on what this does to the idea that a group should have a decision rule.
Exercise 2.4 — The consent computation (1 hour)
Compute 1 / 0.9⁹. You should get 2.58 rounds against unanimity's 99.23 — faster by 38.4 times. Then find the threshold rule with the same expected rounds: 6.23 of 9, or 69.2 per cent.
Write one paragraph answering: if consent behaves like a two-thirds rule, who in my group is paying the difference, and can they say so?
Exercise 2.5 — The delegation break-even (1 hour)
Most groups you belong to delegate without ever saying so: a committee, a treasurer, a captain, one person who "just handles it." Price it.
Take an assembly of 1,200 deciding directly at a 60 per cent threshold. It expects 1.95 rounds at £432,000 a round, so twelve decisions a year cost £10,114,446. Delegate the same twelve to a board of nine at 6-of-9 and they cost £80,562. The saving is £10,033,884. At a divergence rate of 25 per cent, the loss per divergent decision at which delegating stops paying is £3,344,628.
Now do it for your own group, with your own numbers, and write the one sentence that falls out: delegate everything whose loss-if-wrong is below X, and reserve everything above it. That sentence is a constitution, and you have just derived it from four inputs.
Exercise 2.6 — The status quo has a price too (1 hour)
Buchanan and Tullock measure every cost from the status quo, so in their diagram the status quo is free and the external-cost curve reaches zero at unanimity. Test that. Add an annual harm the unmade decision leaves standing, borne by whoever the current arrangement is already costing, plus the delay each rule creates. At zero the optimum is 6 of 9 (66.7 per cent); at £300,000 a year it falls to 5 of 9 (55.6 per cent).
Write one paragraph on a decision your group has not made, and on who is paying for it not being made. That paragraph is usually the most useful page in the whole term.
Exercise 3.1 — The priced schedule (4 hours)
Take the group where you have the most standing. Produce one page with four columns: class of decision · loss-if-wrong · computed threshold · who decides. Three or four bands is enough. Compute each threshold rather than choosing it.
Exercise 3.2 — The objection grammar (1 hour)
If your schedule uses consent anywhere, write the sentence that defines an admissible objection. One sentence. It sets q, which sets both curves, so it is the most load-bearing sentence in the document.
Then build the objection log: date · proposal · objection raised · was it about workability or preference · how resolved. Twenty minutes a month, and it is the only way you will ever measure q rather than assume it.
Exercise 3.3 — Present it and survive the room (2 hours)
Take the schedule to the group. Expect two objections and prepare for both.
"This is bureaucracy." The answer is the arithmetic: the current rule costs the group a computed number of hours a year, and the schedule lowers it. Bring the figure.
"You are trying to reduce our say." The answer is that the schedule raises the threshold on everything above the loss band and lowers it only below — and that it was written before anyone knew which question would come up, which is what makes it fair. A rule set before the question is a rule you can lose to without injury.
Exercise 4.1 — The amendment threshold (30 minutes)
Set the threshold for amending the schedule higher than any threshold inside it, and set it now, before anybody wants to amend it. This is the single move that determines whether the work survives its first contested question.
Exercise 4.2 — The drift check (1 hour, then monthly)
Read the objection log and count what share of objections were about workability rather than preference. If that share is falling, q is widening, your consent rule is sliding toward unanimity, and nobody has amended a word. That is the most common quiet death of a governance system and the log is the only instrument that sees it.
Exercise 4.3 — Notice the delight (30 minutes)
At the end of the term, write half a page on the first meeting that ended early because the threshold was met and everyone could see it. Describe what the rest of that afternoon was like. Attention is the currency this whole chapter is about, and you have just got some back.
Exercise 4.4 — Read one real institution against the model (2 hours)
Pick one of the three the chapter cites and write a page on it in the model's own terms — threshold, blocking coalition, who pays.
Article V. Thirty-eight of fifty states ratify, so 13 can block, and the thirteen least populous hold 14,618,613 people, 4.41 per cent of the country. Roughly 11,848 amendments have been proposed and 27 ratified — 0.228 per cent. Is that rule working, or failing? Defend your answer with the external-cost curve rather than with an opinion about politics.
Cloture. The 1917 rule took 67 of 100 and let 34 block; the 1975 rule takes 60 and lets 41 block — a blocking coalition 20.6 per cent larger, drawn from at least 21 states holding 37,174,921 people or 11.22 per cent of the population. Explain why use of the block rose anyway.
Buurtzorg. Teams of at most 12, 10,000 nurses, a central staff of about 50 — a support ratio of 200 to 1 across roughly 833 teams, and KPMG found 40 per cent fewer care hours per client. Show why twelve is the number: at q = 0.10 a team of twelve expects 3.54 rounds, and a body of fifty does not converge at all.
Choose one group in week one and stay with it. Produce, by the end of term, a single document of eight to twelve pages:
p and q, with the observation method stated and its weaknesses named.Assessment weights section six most heavily. A student who computes a beautiful optimum and cannot say who pays for it has learned the model and missed the chapter.
Score yourself honestly, out of four, on each.
n, p, a round cost and a loss.p from my own observation rather than borrowing 0.60.Twenty-four and above means you can use this. Below sixteen, the missing piece is almost always the loss-if-wrong column, and the fix is one hour with the minutes.
The instrument scales without modification. Volume VI goes on to the commons, to polycentric governance, and to Ostrom's design principles — which are, read correctly, a specification of the conditions under which a decision rule holds and the conditions under which it collapses. You are now equipped to read them as engineering rather than as ethics.
And one habit worth keeping past the term: whenever anyone proposes a rule, ask two questions in this order. What is the loss if we get this class of decision wrong? And who can block, and what are their names? Those two questions settle most governance arguments before they start, and almost nobody asks them.