clay-borg/editions/experiments/h2-scoped-problem-stress/VARIANT.md

# Experiment H2 — scoped problem stress (personal / bond / global)

| | |
|---|---|
| **variant_id** | `h2-scoped-problem-stress` |
| **base** | `ground-darvo-r0` (not stacked on H1) |
| **status** | experimental |
| **catalog** | [`../../catalog.yaml`](../../catalog.yaml) |
| **design note** | [`../../../history/260808-h2-scoped-problem-stress.md`](../../../history/260808-h2-scoped-problem-stress.md) |
| **workplan** | [`../../../workplans/GROUND-WP-0007-h2-scoped-problem-stress.md`](../../../workplans/GROUND-WP-0007-h2-scoped-problem-stress.md) |
| **control** | `h1-problem-stress` (reject-as-baseline) |

## Hypothesis

If unclaimed Problems apply End stress only to their **stress_scope**, with mostly personal, one bond at 3p+, and rare global (Surface), then some seats can climb toward DARVO **without** taxing the whole table into zero group wins — and **bond-scoped** cards give the Bond network a shared reason to SOLVE.

## Scopes

| stress_scope | End +1 Stress while unclaimed goes to… |
|--------------|----------------------------------------|
| **global** | every seat |
| **personal** | assigned **owner** only |
| **bond** | owner + every seat in the owner’s **Bond network** (Bond edges only). No Bonds → behaves as personal |

**SOLVE:** any seat with matching suit may claim any Problem (owner need not solve). Clearing a bond card is a network public good — that is intentional.

## Assignment in this package

By `hidden_priority` in `Problems.csv`:

| priority | scope | in play at |
|---------:|-------|------------|
| 0 Surface | global | all seats |
| 1 | personal | 2p+ |
| 2 | personal | 2p+ |
| 3 | **bond** | 3p+ only |
| 4 | personal | 5p+ only |

Owners: non-global in-play Problems, ascending priority, round-robin clockwise from **Lead**.

## Bond incentive (design intent)

Bond is still the regulation tool (−2 Stress, cancel DARVO). Bond-scope pressure **spreads** cost across the network so partners are incentivised to clear *that* card together rather than leave one seat to melt alone. Measure whether networks SOLVE bond cards faster or avoid Bonding.

## Not in H2

- H1 flat global +1 for “any open problem”
- H1-B ATTACK self-soothe
- Owner-only SOLVE, shadow goals, competence track

## Simulation

Select `variant_id: h2-scoped-problem-stress`. Implement `rules_delta.yaml` (H2-SCOPE, H2-OWN, H2-A, H2-SOLVE). Compare to `ground-darvo-r0` and optionally `h1-problem-stress`.
-												CB-WP-0042 T01-T04: H2's scoped stress, with the named defects caught

H2 is ground-game's answer to our H1 reading — that a flat +1 to every
seat is a solve-rate tax scaling with the number of Problems. Unclaimed
Problems now tick only the seats in scope: global (all), personal (the
owner), bond (the owner's Bond network over Bond edges only, degree 0
falling back to personal), assigned by hidden priority so 2p never has the
bond card in play.

T01: the package is vendored with digests, and H2's Problems.csv is r0's
with one column added and NOTHING else changed — checked, not assumed,
because the delta claims deal_and_thresholds unchanged and a silent
difference would make every H2-vs-baseline comparison a comparison of two
boards as well as two rule sets. Scopes are read from the column, not
derived from the priority in Rust: F25 exists because we hardcoded numbers
the edition already carried.

T02: owner and scope are new ProblemState fields, both Option and both
skipped when None, so a baseline state serialises without them and every
recorded scenario's hash is untouched — asserted on the JSON, not assumed.
with_variant() replaces the bare field write, because state.variant = v
would leave owners unassigned: a silently wrong game rather than a failing
one.

T03: every named defect is mutation-proven — traversing Rivalry edges,
applying stacking once, a degree-0 owner ticking everyone, personal
hitting everyone. The degree-0 mutation MISSED first: the fallback lives
inside bond_network and the mutation broke the None-owner arm instead, a
different branch. It stayed green until aimed at the path the test
exercises. A mutation that misses is not evidence the test works.

T04: ownership is not a permission. Filtering SOLVE to the owner turns it
red, which is the regression this task exists for — the engine had no
owner concept before T02 added one.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>

											
										
										
											2026-08-08 16:06:21 +02:00
+								# Experiment H2 — scoped problem stress (personal / bond / global)
 								| | |
 								|---|---|
 								| **variant_id** | `h2-scoped-problem-stress` |
 								| **base** | `ground-darvo-r0` (not stacked on H1) |
 								| **status** | experimental |
 								| **catalog** | [`../../catalog.yaml`](../../catalog.yaml) |
 								| **design note** | [`../../../history/260808-h2-scoped-problem-stress.md`](../../../history/260808-h2-scoped-problem-stress.md) |
 								| **workplan** | [`../../../workplans/GROUND-WP-0007-h2-scoped-problem-stress.md`](../../../workplans/GROUND-WP-0007-h2-scoped-problem-stress.md) |
 								| **control** | `h1-problem-stress` (reject-as-baseline) |
 								## Hypothesis
 								If unclaimed Problems apply End stress only to their **stress_scope**, with mostly personal, one bond at 3p+, and rare global (Surface), then some seats can climb toward DARVO **without** taxing the whole table into zero group wins — and **bond-scoped** cards give the Bond network a shared reason to SOLVE.
 								## Scopes
 								| stress_scope | End +1 Stress while unclaimed goes to… |
 								|--------------|----------------------------------------|
 								| **global** | every seat |
 								| **personal** | assigned **owner** only |
 								| **bond** | owner + every seat in the owner’s **Bond network** (Bond edges only). No Bonds → behaves as personal |
 								**SOLVE:** any seat with matching suit may claim any Problem (owner need not solve). Clearing a bond card is a network public good — that is intentional.
 								## Assignment in this package
 								By `hidden_priority` in `Problems.csv`:
 								| priority | scope | in play at |
 								|---------:|-------|------------|
 								| 0 Surface | global | all seats |
 								| 1 | personal | 2p+ |
 								| 2 | personal | 2p+ |
 								| 3 | **bond** | 3p+ only |
 								| 4 | personal | 5p+ only |
 								Owners: non-global in-play Problems, ascending priority, round-robin clockwise from **Lead**.
 								## Bond incentive (design intent)
 								Bond is still the regulation tool (−2 Stress, cancel DARVO). Bond-scope pressure **spreads** cost across the network so partners are incentivised to clear *that* card together rather than leave one seat to melt alone. Measure whether networks SOLVE bond cards faster or avoid Bonding.
 								## Not in H2
 								- H1 flat global +1 for “any open problem”
 								- H1-B ATTACK self-soothe
 								- Owner-only SOLVE, shadow goals, competence track
 								## Simulation
 								Select `variant_id: h2-scoped-problem-stress`. Implement `rules_delta.yaml` (H2-SCOPE, H2-OWN, H2-A, H2-SOLVE). Compare to `ground-darvo-r0` and optionally `h1-problem-stress`.