Neural Nations · CAMS interim results

Organisational Pathologies

The ways groups go wrong look the same at every scale. Can they be recovered, by number, from the history of nations?

Kari McKern · ComplexityWorkz · 20 October 2026 · six frozen signatures · 37 societies from JUNO v3 · progress report

You already know these people. The boss who has stopped taking calls. The family that has quietly forgotten why a relative is not spoken of. The committee that runs on the story it tells itself while the cupboard goes bare. The household where the bloke in charge is plainly out of his depth and everyone else is holding the place together around him.

Nobody needs a theory to spot them. We are humans, and humans are very good at noticing when the group has gone wrong. The same wrongness, it seems, turns up at every scale. The kitchen table, the office, the cabinet room and the nation all fail in a handful of recognisable ways. These failures are outliers with a shape, and the shape is the same whether the group is five people or fifty million.

This is a progress report on recovering them from the history of nations.

696society-years where a frozen signature fired
4 of 4windowed signatures cluster beyond chance, after Holm correction
12 of 18named historical windows survive the frozen rules
p = 0.0002Late Abstraction Collapse comes before big falls

The instrument

CAMS treats any society as a complex adaptive system performing eight functions:

Helmsteers
Shieldkeeps force and order
Loresupplies meaning
Stewardshold and allocate assets
Flowmoves things around
Craftmakes things that need skill
Handsdo the labour
Archiveremembers

Each function is scored each year for Coherence (C), Capacity (K), Stress (S) and Abstraction (A), and its node value is:

V = C + K + A/2 − S

Two layers sit underneath. Coordination problems explain why the functions exist at all. Anything that wants to outlast its founders has to steer, defend, remember and feed itself. The primate who runs it explains why the same failures keep coming back. We are prone to cheating, lying and status-seeking, and we carry the same tricks into every institution we build.

The topology is the stage. We supply the drama.

The scores are AI assessments, and we accept them as given, in good faith on the evidence available to the rater. The warrant is repeatability, in the same way climate historians dig temperature records out of monastic archives that were never kept for that purpose. We ask the same question of the same evidence over and over, and the answer either holds or it does not. Here it largely holds.

No scoring pass is ever asked about “Helm isolation” or “Archive amnesia”. The raters score functions, year by year. The signatures are patterns we look for afterwards, in how the scores change relative to one another.

The pathologies

Each signature is a rule written in the scores: a way of catching one of those familiar failures at national scale. A pathology is a relationship between functions, not just a low score. Two societies can have the same average and be arranged very differently.

Helm Incompetence

“Idiots in charge.” The out-of-depth bloke at the head of the table, writ large.

Over three years, Helm’s capacity falls and its stress rises, while Craft and Flow stay as capable as their recent average.

25 firing yearsclusters · p = 0.022before falls · leans

Helm Isolation

The boss who has stopped taking calls.

Helm’s coherence sits far from the average of the other seven functions (top 5% of gaps).

225 firing yearsclusters · p = 0.004before falls · no

Archive Amnesia

The family that forgets.

Archive’s value collapses over five years while Helm or Shield is rising.

22 firing yearsclusters · p = 0.0001before falls · no

Shield Inversion

Force turning on the household it was meant to guard.

Shield is the strongest function in the society while Flow sits well below average.

268 firing yearsclusters · p = 0.006before falls · no

Narrative–Material Gap

The committee living on its story while the cupboard goes bare.

Lore and Archive run at very high abstraction while material capacity (Flow, Craft, Hands) falls below its ten-year trend.

52 firing yearsbefore falls · leans

Late Abstraction Collapse

The elaborate structure that comes down late and fast.

A function running at very high abstraction loses coherence sharply within two years.

104 firing yearsbefore falls · p = 0.0002

Elite-structure and whole-system patterns fill out the wider set; the six above are the ones in this frozen run. Exact thresholds are in the appendix.

The test is simple. If these are real outliers and not just the noise of bad years, they should cluster where history says something went wrong, and they should appear in societies that have nothing else in common.

What held

JUNO v3 holds 42 societies and 41,914 rows of scores. For the frozen run we used 37 of them. Denmark, India, Turkey, Thailand and Canada were excluded in advance, and Israel was used only from 2015.

Then we froze the thresholds. Nobody gets to nudge a rule after the fact to catch the event they were hoping for. Under those fixed rules the signatures fired in 696 society-years, and every result below is set against what chance alone would give: the same firings, scattered through the same histories, landing wherever they happen to land.

They cluster where history says something went wrong

Firings inside named historical windows

Observed firing years against the number expected by chance

ObservedExpected by chance
All four survive Holm correction for multiple testing. Late Abstraction Collapse and the Narrative–Material Gap have no named windows, so they are tested only against later falls.

Archive Amnesia is the starkest. Chance would put less than one firing inside its windows; it put fifteen there, twenty times the chance rate. Helm Incompetence is rarer but just as pointed: four firings where chance expects 0.18, about twenty-two times. Helm Isolation and Shield Inversion fire all through history, and still land in their windows about twice as often as chance would put them there.

The casebook

Of 18 named windows, 12 hold, and the list reads like a casebook of things people noticed at the time.

Archive AmnesiaArgentina 1976–78, Chile 1975–77, Cambodia 1975–78, Greece 1967–71, Hong Kong 2020–24
Helm IncompetenceUnited Kingdom 2016–19, which will surprise nobody who sat through those years
Helm IsolationVenezuela 1999–2013, Australia 2010–18
Shield InversionIran, Russia and Venezuela since 2015; Finland 2023–25

The six that dropped out: Laos 1975, Germany 1931 and Hong Kong 1997 (Archive Amnesia); Germany 1939 and Pakistan 1968–70 (Helm Incompetence); Iraq 2015–25 (Shield Inversion). Australia 1976–80 was a check window, not a claimed hit, and correctly does not fire.

They travel together

The pathologies also travel together, the way they do in families. Helm Isolation and Shield Inversion follow one another, in either order, in nine nations. Helm Incompetence leads to Helm Isolation in five. The United Kingdom goes from one to the other between 2016 and 2018; Venezuela between 2008 and 2009.

Helm Incompetencethe idiots arrive
Helm Isolationthey stop taking calls · 5 nations
Shield Inversionforce turns inward · 9 nations each way

First the idiots arrive, then they stop taking calls. Anyone who has watched a workplace go sour will recognise the order. Other sequences show up too: the Narrative–Material Gap is followed by Late Abstraction Collapse in five nations, and Archive Amnesia by Shield Inversion in four.

I still owe these chains a base-rate comparison before I lean on them. Signatures that share a function can also fire together simply because they are built from the same scores.

One signature looks ahead

One signature does more than recognise. When a society’s most elaborate function suddenly loses its coherence, a hard fall tends to follow within three years: 62 times in the record, where chance would give about 39. Helm Incompetence and the Narrative–Material Gap point the same way, at p = 0.074 and p = 0.072, near the line but not over it yet. The other signatures name the episode while it is happening; this one tends to arrive first.

Firings in the years before a big fall

Observed against expected by chance, all six signatures

ObservedExpected by chance
Late Abstraction Collapse stays significant after Holm correction across all six (about p = 0.001). Part of its rule overlaps the fall itself, since a drop in Coherence lowers V directly.

The plainest result

The plainest result may be the most important. A few simple rules on eight functions catch events that humans already recognise. The scores know nothing of Brexit or Chávez. The rules found the shapes anyway.

The pathologies we sense in our own families and offices are real structures, and they can be recovered, by number, from the record of whole societies.

Not every outlier is a disease. A Helm that isolates itself in a siege may be doing the only thing that works, and a Shield that rises against a real external threat is doing its job. The signatures are diagnoses, and a doctor can name a fever without deciding it should never have happened.

What remains uncertain

Some series fire nearly all the time. That says more about how those series move than about a run of crises, and it is reported, not hidden:

SignatureFrequent firers (share of years)All societies
Helm IsolationVenezuela 0.48, Russia 0.22, Poland 0.20, Sweden 0.20, Saudi Arabia 0.190.046
Shield InversionRussia 0.44, Venezuela 0.25, Argentina 0.21, Japan 0.190.054
Late Abstraction CollapseSweden 0.27, South Africa 0.150.021
Narrative–Material GapSweden 0.13, Finland 0.11, Brazil 0.070.011

The sequences between signatures still need their base-rate check, and the before-falls leans for Helm Incompetence and the Narrative–Material Gap are not yet results.

What comes next

A prospective watchlist will name societies showing early signatures now, so the future can mark my homework instead of me marking it.

And the same frozen rules will be run unchanged below the nation, to recover quantitatively the structures we have already seen there. The first test (P4) scores Boeing, Theranos and WorldCom against matched firms with no known crisis, with the eight functions mapped onto the firm: Helm is the board and executive, Shield is compliance and legal, Archive is records and audit. Every firing is reported, including false alarms in the controls.

A recovery catalogue follows: if damaging configurations recur, recovery should too. Archive recovery, Helm recoupling, Shield restraint and the reconnection of Lore with the material functions will be defined, frozen and searched for with the same discipline.

If the numbers hold there too, we will have something better than another explanation of the last collapse after it happened. Anyone who has lived inside a failing family, firm or country has felt these patterns. CAMS shows they can be recovered from the numbers as well.

The lesson

These failures aren't fate. They are a small, familiar repertoire of human behaviours, so they can be named early. The family that names the silence can stop the forgetting. The workplace that notices the boss has stopped taking calls can route around them. A nation can do the same if it watches the right relationships: memory against force, the top against everyone else, the story against the cupboard.

The second lesson is for those in charge. Your failures will look ordinary, and they will show. The arrangement underneath shifts before the title is lost, and anyone who knows how to read it can see it shift.

Appendix: the detail

The frozen rules

Thresholds are pooled percentiles over changing years, frozen before outcomes were counted.

SignatureRule
Archive Amnesia5-yr ΔV(Archive) ≤ −5.77 (P5), while Helm V or Shield V rises over the same 5 years
Helm IncompetenceOver 3 yrs: Helm ΔK ≤ −1.0 (P10), Helm ΔS ≥ +2.0 (P90), Helm ΔA ≥ 0; mean K(Craft, Flow) at or above its trailing 10-yr mean
Helm Isolation|C(Helm) − mean C(other 7)| ≥ 1.86 (P95)
Shield InversionShield is the highest-V node and V(Flow) − mean V ≤ −1.18 (P25)
Late Abstraction CollapseSome node has A ≥ 7.8 (P90) and that node’s 2-yr ΔC ≤ −1.2 (P5)
Narrative–Material GapMean A(Lore, Archive) ≥ 8.0 (P90) and K(Flow, Craft, Hands) minus its trailing 10-yr mean ≤ −0.9 (P10)

Lore–Helm divergence was defined in the draft but is not in the frozen run. Change is written ΔXi,t = Xi,t − Xi,t−1, and relative change between two functions Dij,t = ΔVi,t − ΔVj,t. D measures relative change; it is not a proven transmission edge.

Full results table
SignatureFiring yearsIn windows
obs / chance
pBefore a fall
obs / chance
p
Archive Amnesia2215 / 0.750.00015 / 4.650.49
Helm Incompetence254 / 0.180.02214 / 9.250.074
Helm Isolation22517 / 8.410.00457 / 55.940.47
Shield Inversion26824 / 10.370.00667 / 63.520.36
Late Abstraction Collapse104——62 / 38.560.0002
Narrative–Material Gap52——28 / 20.430.072

Total 696 firing years. A big fall is an annual drop of 2.0 or more in mean V, in years t to t+3. Null: each society’s firing series circularly shifted in time, keeping the number and spacing of firings, 10,000 reps, seed 20261020. p-values are unadjusted; the prereg specifies Holm correction within each null family.

Which societies, and why five were left out

The dataset (juno/v3/JUNO_Unified_Dataset_v3_2026-10-19.csv) holds 41,914 rows for 42 societies. Five whole series were excluded in advance because of measurement problems:

  • Denmark: Stress recorded as zero throughout.
  • India and Turkey: 26–31 sampled years each.
  • Thailand: 5-yearly scoring.
  • Canada: 33 years.

Israel stays in, but only from 2015, because the earlier series is flat. The draft-threshold counts in the Signature Pack (sig.py) had different coverage: they excluded only Denmark and pre-2015 Israel, and their annual-only rules skipped the non-annual series.

An exploratory finding: stress comes before lost capacity

Exploratory, 19 October, not preregistered. Across 38,704 node-years in 37 societies, a rise in Stress is followed the next year by a fall in Capacity (r = −0.072), but not the reverse (r = +0.004). The society-cluster bootstrap 95% CI of the difference is [−0.103, −0.052], and the asymmetry holds in 33 of 37 societies. V has no time order built in, so this is not an artefact of the formula.

How far the cross-scale claim goes
  • A. Structural transfer (claimed now): the same eight functions and kinds of pathology appear at every scale.
  • B. Rule transfer (next test): the frozen national rules, unchanged, pick out the same pathologies in firms and institutions.
  • C. Calibrated transfer (later): thresholds and outcome rates carry across scales quantitatively.
P4: the corporate test protocol
NodeCorporate function
HelmBoard and executive
ShieldCompliance, legal, discipline
LoreCulture and narratives
StewardsOwnership and capital
FlowSupply chain and market
CraftEngineering and expertise
HandsWorkforce
ArchiveRecords, audit, institutional memory
  1. Freeze national rules, thresholds, timing conventions and exclusions as of 58fcaaf.
  2. Score Boeing, Theranos and WorldCom, plus matched control firms without a known crisis, over pre-specified years, using repeated independent AI scoring passes.
  3. Run the national detector unchanged. Report every firing, including misses and false positives in the controls.
  4. Compare against the circular-shift null and simpler baselines: Stress change alone, and first differences of V.
  5. Keep the discovery register separate from the prospective watchlist, which logs firings before outcomes are known.
  6. Do not expand the signature pack before this test.

The question P4 answers is whether topology adds information beyond absolute levels and their first differences.

Sources. Working thesis docs/theory/CAMS_Organisational_Pathologies_Thesis.md. Frozen signature run: prereg commit 1b9b9f1, results commit 58fcaaf. Data: juno/v3/JUNO_Unified_Dataset_v3_2026-10-19.csv; rules and draft counts: juno/v3/CAMS_Signature_Pack_v1.md.