BHI 3.0·Q1 2026 Bulletin
Last computed 14:32 UTC, Apr 29 2026·Spearman ρ = 0.83·Validation: preliminary
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Movers · since 14:32 UTC, Apr 29 2026
§ 05 · METHODOLOGY · V3.1 — JANUARY 2026

Methodology

A formal description of the eleven-parameter rubric, the V3.1 aggregation function, the scoring protocol, and the validation regime.

SSRN: 6555158 · 35 pages · CC BY 4.0

§ 01Abstract

The Black Hole Index (BHI) measures structural lock-in for digital platforms — the degree to which a user, organisation, or counterparty cannot leave a system without proportional cost. We define a single dimensionless quantity B as the ratio of total capture surface to total escape surface, computed from eleven independently-scored parameters across capture, escape, and extended dimensions. This document specifies the scoring rubric, the V3.1 aggregation function, and the validation regime against external migration-cost data.

§ 02Axiom & framing

The instrument rests on a single axiom: structural lock-in is asymmetric capture relative to substitution. A platform with high capture surface but high substitution availability is not locked-in; a platform with modest capture and zero substitution is. The B-index makes this ratio explicit and bounded, so that platforms across radically different sectors (a stablecoin, an IDE assistant, a national grid operator) can be placed on the same scale.

BHI is intentionally not a quality, ethics, or pricing measure. A platform can clear B = 3 because its lock-in is structural, useful, and welcome — or because it is exploitative. The instrument reports the structural fact; interpretation belongs to the reader.

§ 03Eleven parameters

Each parameter is scored on a 0-to-10 ordinal rubric with anchored definitions at 0, 5, and 10. The rubric is published in full in the appendix to the paper.

#ParameterGroupAnchor at 10
01DataCaptureAll user-generated state lives inside the platform with no equivalent export.
02MemoryCapturePersistent, system-side context that compounds with use and cannot be reconstructed elsewhere.
03ActionCapturePlatform executes consequential actions on behalf of the user across multiple external surfaces.
04ProcessCaptureOperating procedures of the user/org are written around the platform's primitives.
05NetworkCaptureDirect two-sided network effects with no portable identity layer.
06ClosenessCaptureDaily, intimate, multi-modal use; the platform has surface area against habit.
07PortabilityEscapeFull one-click export of all state to a competing system, including history and configuration.
08SubstitutabilityEscapeMultiple commodity-grade alternatives exist at parity feature, parity price.
09Human FallbackEscapeThe work the platform performs can be done by a human in reasonable time at reasonable cost.
10Org DepthExtendedPlatform is embedded across >10 functions of the user organisation; removal requires structural change.
11MomentumExtendedLock-in is increasing year-over-year; the gradient ∂B/∂t is positive and material.

§ 04Aggregation function (V3.1)

Let K = (D, M, A, P, N, C) denote the capture vector and O = (Po, Sb, Hf) the escape vector, each on [0, 10]. Let Ω = (Od, Mo) be the extended pair.

The capture core is a simple mean lifted by a memory-action synergy term and modulated by the extended pair:

(1)
Capture core, with synergy term σ_K = M·A / 100 capturing the multiplicative effect of agentic systems that both remember and act.
(2)
Total capture, weighted by org depth and momentum.
(3)
Total escape, with the human-fallback shortfall σ_O = (5 − Hf) / 20 capturing the asymmetry where low fallback compresses the escape surface superlinearly.
(4)
B-index — bounded below by ε = 0.18 in the denominator to prevent runaway divergence and to reflect the empirical floor of any going-concern alternative.
[1]The feedback gain 1 + 0.04(K − O) is bounded and well-conditioned across the empirical range. Sensitivity analysis is reported in §7 of the validation report.

§ 05Zone thresholds

The continuous B is bucketed into five interpretive zones. Thresholds were calibrated against external migration-cost data on a 36-platform reference set; see the validation report for residuals and ICC.

  • Useful Tool · 0 ≤ B < 0.5 — substitutable in days; no structural friction.
  • Growing Gravity · 0.5 ≤ B < 1.0 — friction is real but reversible at modest cost.
  • Transition Zone · 1.0 ≤ B < 1.5 — migration is a project, not a decision.
  • Event Horizon · 1.5 ≤ B < 2.5 — leaving requires re-platforming the user or org.
  • Black Hole · B ≥ 2.5 — exit cost approaches the value of the dependent activity itself.

§ 06Universe construction

The Q1 2026 universe is the top 100 platforms by economic relevance, drawn from twelve sectors. Inclusion criteria, in order: (i) market cap or comparable economic footprint, (ii) user/transaction volume, (iii) sector representativeness, (iv) data availability for all eleven parameters. Borderline cases are noted in the appendix.

The list is not a ranking of importance — it is a fixed evaluation universe, kept stable across releases so that quarter-on-quarter trajectories are comparable.

Twelve sectors · 100 platforms

AI Platforms · 10Crypto Assets · 10Crypto Infrastructure · 8Social Media · 10Big Tech & Semiconductors · 8SaaS & Cloud · 10Banks & Financial Markets · 8Fintech & Payments · 8Gaming & Entertainment · 8E-Commerce · 8Pharma & Biotech · 6Critical Infrastructure · 6
Sector boundaries are the same across V1, V2, and V3.1 to preserve longitudinal comparability.

§ 07Scoring protocol

Each platform is scored independently by two analysts using the published rubric. The protocol enforces:

  1. Anchored evidence. Every parameter score must be backed by a citation — a public filing, an API/export specification, a published migration case, or an admin-console screenshot.
  2. Blind first pass. Analysts score without seeing each other's notes.
  3. Adjudication. Scores diverging by more than 1.0 on any axis are reconciled by a third analyst with documented reasoning.
  4. Inter-rater coefficient. Cohort-level ICC(3,k) is reported per release. The Q1 2026 release reports ICC = 0.84.

§ 08Release cadence

Quarterly. Major version bumps (V1 → V2 → V3) revise the aggregation function; minor bumps (V3.0 → V3.1) revise rubric anchors or universe composition. Every numerical change is documented in the changelog, and historical scores are reissued under each new function so trajectories are not retroactively warped.

§ 09Limitations

BHI is a structural measure, not a behavioural one. It does not capture: (i) willingness to pay the migration cost, (ii) sector-specific regulatory dynamics, (iii) macro-cyclical effects on substitutability. The instrument is most useful when read alongside, not instead of, sector domain knowledge.

§ 10Changelog

  • V3.1 · Q1 2026 — Org-depth multiplier introduced; momentum normalised; ε-floor formalised.
  • V3.0 · Q3 2025 — Eleven-parameter rubric; capture/escape/extended split.
  • V2.x · 2024 — Eight-parameter rubric; first public release.
  • V1.x · 2023 — Six-parameter pilot; internal use only.