The Method

How structural fairness is measured

The CARO Fairness Index measures how fairly a population judges the arrangements it lives under. The instrument, the domains, the formulae and the versioning rules are published in full. Anyone may use them. CARO uses them on the same terms as everyone else.

CARO Fairness Index · Version One Published April 2026 Last revised 3 November 2026 Specification: Fairness as Foundation, ch. 13

What it measures

Not satisfaction with a government. Not approval of a leader. The perceived fairness of the arrangements themselves — the structures that hold whoever is in office.

A respondent is asked to judge twenty-five specific governance practices on a five-point scale, from completely unfair to completely fair. The questions are about arrangements, not people: how a seat is vacated, how a public service is allocated, how an institution accounts for itself.

The instrument produces four things: a score for each question, a measure of how settled that judgment is, a score for each domain, and one figure for the whole. Each is defined below, and each is reproducible from the raw responses by anyone who has them.

Five domains, twenty-five questions

Version One. Equal weight within and across domains; later versions may apply differential weights following review.

D1
Governance and Leadership
Q1 – Q5
D2
Justice and Rule of Law
Q6 – Q10
D3
Economic Fairness
Q11 – Q15
D4
Public Services and Resources
Q16 – Q20
D5
Accountability and Institutional Conduct
Q21 – Q25

How a score is read

Score rangeInterpretation
1.00 – 1.80Society strongly considers this unfair
1.81 – 2.60Mostly unfair — significant concern
2.61 – 3.40Mixed or contested — no settled consensus
3.41 – 4.20Mostly fair — broad general acceptance
4.21 – 5.00Society strongly considers this fair

The formulae

Complete and unabridged. Anyone holding the raw responses can reproduce every published figure from these alone.

Question level

Question Fairness Score QFS
QFS(q) = Σ(active responses to question q) ÷ N(active responses)

Range 1.00–5.00. The raw judgment: how fair the respondents found this one practice.

Question Confidence Score QCS
QCS(q) = 1 − (σ ÷ σ_max) where σ = standard deviation of responses σ_max = maximum theoretical deviation (2.0 on a 1–5 scale)

Range 0.00–1.00. Near 1.0 means strong consensus; near 0.0 means maximum disagreement. This is what separates a settled judgment from a contested one — and a mean without it can describe nobody.

Question Participation Score QPS
QPS(q) = min(N_active ÷ N_target, 1.00) where N_target = defined minimum sample threshold for statistical adequacy

Range 0.00–1.00, capped at 1.00 regardless of overparticipation.

Adjusted Question Fairness Score AQFS
AQFS(q) = QFS(q) × [0.60 + 0.20 × QCS(q) + 0.20 × QPS(q)]

Prioritises the raw fairness judgment at 60 per cent, while rewarding consensus and broad participation at 20 per cent each.

Domain and overall

Domain Fairness Score DFS
DFS(d) = Σ[w(q) × QFS(q)] ÷ Σw(q) for all questions q in domain d

Version One uses equal weights for all questions within a domain. Later versions may apply differential weights based on domain centrality assessment.

Overall Fairness Index OFI
OFI = Σ[w(d) × DFS(d)] ÷ Σw(d) for all active domains d

Version One uses equal weights across all five domains.

Policy, actor and institution

Policy Alignment Score PAS
PAS(p) = Σ[AC(p,q) × QFS(q) × w(q)] ÷ Σ[QFS(q) × w(q)] for all questions q relevant to policy p where AC(p,q) = alignment coding 1.0 aligned · 0.5 partially aligned · 0.0 neutral · −1.0 directly opposed

Range −1.0 to 1.0. Measures how far a specific policy moves with or against the fairness judgment the population has already expressed.

Actor Fairness Score AFS
AFS(a) = Σ[w(p) × PAS(p)] ÷ Σw(p) for all policies p associated with actor a where w(p) = policy importance weight by scope and domain centrality

Updated continuously as new policies are assessed.

Institutional Fairness Score IFS
IFS(i) = α × PAS_aggregate(i) + β × BIS(i) + γ × DPS(i) where PAS_aggregate = weighted average Policy Alignment Score for institution i BIS = Behavioral Indicator Score (transparency, accountability conduct) DPS = Direct Public Perception Score from relevant Index questions Suggested initial weights: α = 0.40 · β = 0.20 · γ = 0.40
Every published figure carries its provenance. Who collected the data, where, when, how the sample was drawn, and what was excluded and why. A score without its provenance is not a finding — it is an assertion, and this method does not produce assertions.

Applied once, so far

The method has been run in full on one cohort. These are the figures, with their limits stated.

1.74
Overall Fairness Index
out of 5.00
86
valid consented
responses
25
questions across
five domains
1.44
lowest domain —
public services

Bangladesh, April 2026. All five domains scored below 2.00 — a broad consistent signal rather than concentrated unfairness in one area.

The cohort was 71 per cent aged 18–25, 62 per cent urban and 54 per cent undergraduate. It is not nationally representative, and no figure above should be read as a measurement of Bangladesh. It is a test of whether the instrument produces differentiated, interpretable results on a real population. It did.

Full results, every distribution and every standard deviation →

Versioning

A measurement that changes without a published bridge destroys its own history.

Using it

The method is open. It is not CARO's property to license and not CARO's permission to grant.

Any person, organisation, researcher or government may apply this method to any population, publish the results, and describe them as Fairness Index measurements, provided the published method is followed and the provenance is stated. CARO claims no exclusivity over it and uses it on the same terms as any other person.

What CARO maintains is the standard itself: the definitions, the formulae, the versioning, and the record of what has been measured and by whom. The full specification is in Fairness as Foundation, chapter 13, listed with the rest of the published work on Publications.

Citation

Cite the version, not the organisation.

CARO (2026). CARO Fairness Index, Version One: method specification. Care for Assets, Resources, and Obligations, Washington, D.C. https://carononprofit.org/method.html

Where a figure produced by this method is cited, carry its provenance: what was measured, where, when, how the sample was drawn, and what was excluded.