schema_version: "1.0"

id: "FM-ECO-018"

title: "FM-ECO-018 — Suppression-by-Abstraction"

slug: "fm-eco-018-suppression-by-abstraction"

type: "failure_mode"

status: "draft"

version: "0.1.0"

last_updated: "2026-06-19"

summary: "Suppression-by-Abstraction occurs when concrete economic burden, harm, scarcity, extraction, repair need, affected-node experience, local degradation, or hidden debt is converted into abstract categories, models, metrics, averages, forecasts, policy language, or financial representations that make the real condition harder to see, contest, repair, or prioritize."

canonical_url: "/archive/failure-modes/registry/economy/fm-eco-018-suppression-by-abstraction"

citation_id: "FM-ECO-018-v0-1-0"

canon:

tier: "registry"

state: "draft"

source: "UTS — Failure Modes Registry"

source_id: "FM-ECO-018"

legacy_ids:

• "FM-ECOX-014"

classification:

family: "failure-modes"

module: "economy"

module_group: "economy"

density: "advanced-reference"

audience:

• "UTS readers"
• "economic systems researchers"
• "justice researchers"
• "restoration researchers"
• "cybernetics researchers"
• "AI governance researchers"
• "policy researchers"
• "coherence researchers"
• "machine readers"

tags:

• "failure-modes"
• "economy"
• "suppression-by-abstraction"
• "fm-eco-018-suppression-by-abstraction"
• "fm-ecox-014-suppression-by-abstraction"
• "abstraction"
• "modeling"
• "metrics"
• "averaging"
• "policy-language"
• "hidden-debt"
• "visibility"
• "coherence"

aliases:

• "Suppression-by-Abstraction"
• "Economic Abstraction Suppression"
• "Abstraction-Based Suppression"
• "Metric Abstraction Suppression"
• "Model-Mediated Suppression"
• "Policy Abstraction Suppression"
• "Averaging Away Harm"
• "Local Burden Abstraction"
• "Concrete Harm Dilution"
• "Abstracted Debt Concealment"

related:

laws:

• "U4 Truth Substitution"
• "Success Proxy Substitution"
• "Narrative Substitution"
• "Auditability Collapse"
• "Hidden Debt Accumulation"
• "Goodhart Collapse"
• "Measurement Back-Action"
• "Exported Economic Incoherence"
• "Risk Model Theater"
• "Procedural Theater"
• "Victim Burden Inversion"
• "Pseudo-Coherence"

invariants:

• "Abstraction Must Preserve Contact with Local Reality"
• "Metrics Must Not Erase Affected Nodes"
• "Models Must Remain Repair-Traceable"
• "Averages Must Not Hide Threshold Breach"
• "Policy Language Must Preserve Concrete Burden"
• "Economic Truth Requires Local Visibility"
• "Abstraction Must Serve Repair, Not Concealment"

operators:

• "Ψ — Observation / Interface"
• "Au — Auditability"
• "O — Coherence"
• "H — Hidden Debt"
• "Γ — Selection"
• "Λ — Compatibility"
• "Φ — Flow / Resource Movement"
• "K — Constraint / Load"
• "R — Restoration Capacity"
• "G — Gain"
• "D — Damping"
• "BΣ — Boundary Integrity"
• "Τ — Trajectory / Time"

gates:

• "Concrete Reality Gate"
• "Affected-Node Visibility Gate"
• "Model Grounding Gate"
• "Metric Integrity Gate"
• "Auditability Gate"
• "Local Burden Gate"
• "Restoration Traceability Gate"
• "Threshold Visibility Gate"
• "Truth Gate"

diagnostics:

• "Concrete Burden Visibility"
• "Affected-Node Traceability"
• "Model / Reality Fit"
• "Metric Compression Loss"
• "Average / Threshold Distortion"
• "Local Coherence"
• "Hidden Debt"
• "Auditability"
• "Restoration Traceability"
• "Abstraction Loss"

failure_modes:

• "FM-ECO-011 — Exported Economic Incoherence"
• "FM-ECO-017 — Echo Inflation"
• "FM-ECO-019 — Narrative Dominance"
• "FM-ECO-020 — Risk Model Theater"
• "FM-ECO-032 — Pseudo-Coherent Economic Stability"
• "FM-CORE-003 — Success Proxy Substitution"
• "FM-CORE-004 — Auditability Collapse"
• "FM-CORE-006 — U4 Truth Substitution"
• "FM-C-018 — Goodhart Collapse"
• "FM-C-020 — Measurement Back-Action Loop"
• "FM-MT-002 — Narrative Substitution"
• "FM-JC-001 — Procedural Theater"

restoration_arcs:

• "Concrete Reality Regrounding"
• "Affected-Node Visibility Restoration"
• "Metric Decompression"
• "Model Grounding Audit"
• "Average / Threshold Reconciliation"
• "Hidden Debt Exposure"
• "Local Burden Mapping"
• "Restoration Traceability Repair"
• "Auditability Restoration"
• "Local Coherence Restoration"

modules:

• "Economy"
• "Diagnostics"
• "Cybernetics"
• "Meta-Theory"
• "Justice"
• "Restoration"
• "AI Governance"
• "Policy"
• "Interfaces"
• "Coherence"

navigation:

order: 1318

parent: "failure-modes"

visible: true

provenance:

created_from: "failure-mode-registry-production"

source_thread: "UTS Failure Modes Registry production"

source_file: "content/archive/failure-modes/registry/economy/fm-eco-018-suppression-by-abstraction.md"

legacy_source_file: "content/archive/failure-modes/registry/economy/fm-ecox-014-suppression-by-abstraction.md"

notes: "Unified from former FM-ECOX-014 into continuous Economy namespace. Standalone economy entry focused on concrete burden, affected-node harm, scarcity, hidden debt, local degradation, or restoration need being hidden through abstraction, averaging, modeling, policy language, dashboards, forecasts, or financial representations."

entry:

failure_mode_id: "FM-ECO-018"

failure_family: "Economy"

production_treatment: "Standalone Entry"

legacy_ids:

• "FM-ECOX-014"

parent_modes:

• "FM-CORE-006 — U4 Truth Substitution"
• "FM-CORE-003 — Success Proxy Substitution"
• "FM-MT-002 — Narrative Substitution"
• "FM-CORE-004 — Auditability Collapse"
• "FM-C-018 — Goodhart Collapse"

first_gate_failure: "Concrete Reality Gate"

primary_hidden_debt: "Hidden debt accumulates when concrete burdens are converted into abstractions that reduce visibility, standing, urgency, traceability, or repair obligation, allowing unresolved cost to persist beneath model coherence or policy language."

primary_inversion: "Abstraction becomes suppression; the system treats compressed representation as higher-order clarity while the abstraction removes the local details required for repair."

primary_boundary_pattern: "The boundary between useful abstraction and concealment collapses; representation no longer preserves the affected reality it claims to summarize."

primary_signature: "Concrete burden exists; abstraction compresses it; local variation, threshold breach, affected-node standing, or repair need disappears; decision-makers see model clarity while hidden debt grows in the field."

FM-ECO-018 — Suppression-by-Abstraction

Status: Draft

Archive Type: Failure Mode

System: Universal Theory Stack

Parent: Failure Modes

Canon Tier: Registry

Registry: Failure Modes Registry

Entry ID: FM-ECO-018

Legacy ID: FM-ECOX-014

Family: Economy

Production Treatment: Standalone Entry

Parent Modes: FM-CORE-006 — U4 Truth Substitution; FM-CORE-003 — Success Proxy Substitution; FM-MT-002 — Narrative Substitution; FM-CORE-004 — Auditability Collapse; FM-C-018 — Goodhart Collapse

0. Economic Scope Note

This entry is conceptual and systems-oriented.

It does not treat abstraction, modeling, metrics, statistics, categories, policy language, financial representation, aggregation, forecasting, dashboards, or theory as inherently failed.

Abstraction is necessary.

No complex economy can operate only from raw local detail.

Abstraction can preserve coherence when it:

• compresses without erasing
• remains grounded in concrete conditions
• preserves affected-node traceability
• exposes thresholds
• supports repair
• stays auditable
• remains falsifiable
• includes disaggregated views
• distinguishes average from distribution
• allows local exception visibility
• preserves context
• returns to reality when challenged

The failure begins when abstraction hides what must be seen.

The issue is not abstraction.

The issue is representation that suppresses the concrete conditions needed for coherence and repair.

Suppression-by-Abstraction occurs when economic language or modeling makes real burden less actionable by lifting it out of its local, embodied, affected-node, or operational context.

1. Definition

Suppression-by-Abstraction occurs when concrete economic burden, harm, scarcity, extraction, repair need, affected-node experience, local degradation, or hidden debt is converted into abstract categories, models, metrics, averages, forecasts, policy language, or financial representations that make the real condition harder to see, contest, repair, or prioritize.

The abstraction may appear as:

• averages
• indices
• risk scores
• ratings
• categories
• policy language
• financial models
• macroeconomic indicators
• dashboards
• forecasts
• eligibility classes
• compliance summaries
• impact reports
• productivity metrics
• cost-benefit analysis
• actuarial models
• market narratives
• optimization functions
• aggregate demand measures
• labor statistics
• user segments
• harm taxonomies
• automated scoring systems
• institutional reports

The core failure is:

concrete burden exists
abstraction compresses it
local visibility↓
repair traceability↓
H↑

Suppression-by-Abstraction is not high-level thinking.

It is high-level representation that severs contact with the reality it summarizes.

2. Core Pattern

The core pattern is:

1. A concrete burden exists in affected nodes.
2. The system represents that burden through categories, metrics, models, averages, forecasts, or policy language.
3. The abstraction compresses detail.
4. Compression removes local variation, threshold breach, burden intensity, timing, agency, or repair pathway.
5. Decision-makers interact with the abstraction rather than the affected reality.
6. The abstraction appears orderly, neutral, scalable, or objective.
7. Affected nodes lose visibility or standing.
8. Repair need becomes less legible.
9. Hidden debt accumulates behind representational clarity.
10. Restoration requires reconnecting abstraction to concrete affected conditions.

This failure often appears as:

the model shows the system is stable

while the hidden truth is:

the model has averaged away the unstable nodes

or:

the category has been addressed

while the overlooked condition is:

the affected node inside the category remains unrepaired

The restorative question is:

what concrete burden disappeared when this became abstract?

Suppression-by-Abstraction turns representation into a veil.

3. Failure Signature

Typical signature:

abstraction↑
local visibility↓
affected-node traceability↓
threshold visibility↓
repair priority↓
model confidence↑
H↑

Extended signature:

averages hide threshold collapse
risk scores hide lived burden
policy categories hide local variation
cost-benefit language hides repair obligation
macro indicators hide household instability
productivity metrics hide exhaustion
market prices hide ecological depletion
impact reports hide unaddressed nodes
compliance summaries hide unresolved harm

Common forms include:

unemployment averages hide regional collapse
inflation averages hide survival-basket pressure
housing affordability indices hide displacement thresholds
risk models hide concentrated exposure in low-power nodes
budget categories hide repair starvation
AI metrics hide user-level meaning damage
productivity gains hide unpaid labor and recovery burden
aggregate growth hides local extraction
policy compliance hides real access failure
financial valuation hides maintenance debt

The defining condition is not that abstraction exists.

The defining condition is that abstraction reduces the system’s ability to see and repair concrete burden.

4. Primary U-Layer Origin

Common origin layers:

• U1 — Power / Budgets: abstraction favors decision-makers who benefit from distance, scale, or controllable categories.
• U2 — Configuration / Boundaries: categories and reporting boundaries exclude local burdens.
• U3 — Execution / Runtime: operational decisions follow abstract indicators instead of ground conditions.
• U4 — Information / Truth: primary origin layer; representation substitutes for affected reality.
• U5 — Coordination / Time: abstract reporting cadence lags real burden and thresholds.
• U6 — Coherence Field: clean abstractions create calm and legitimacy.
• U7 — Memory / Recurrence: old categories persist after reality changes.
• U8 — Environment / Field: institutional, market, or policy environments reward abstraction over contact.

Common manifestation layers:

• U2 — Boundaries: affected nodes disappear inside categories.
• U3 — Execution: actions target abstractions.
• U4 — Truth: model output substitutes for local truth.
• U5 — Time: reporting delay hides accelerating burden.
• U6 — Field: clarity aura masks suppression.
• U7 — Memory: stale categories lock in.

Suppression-by-Abstraction is primarily a U4 truth-representation failure.

The system mistakes legibility to the model for legibility to reality.

5. Typical Development Sequence

A common development sequence is:

1. A complex economic condition emerges.
2. The system creates an abstraction to understand or manage it.
3. The abstraction helps initially.
4. The abstraction becomes the main interface to the condition.
5. Concrete variation becomes less visible.
6. Affected nodes that do not fit the abstraction are treated as exceptions, noise, or outliers.
7. Decision-makers optimize the abstraction.
8. The abstraction improves or stabilizes.
9. Local burden persists or worsens.
10. Affected nodes lose repair standing because the abstraction says the category is managed.
11. Hidden debt accumulates beneath abstract success.
12. The system resists local evidence because it disrupts model coherence.

The loop often looks like:

complex burden → abstraction → simplified action → local loss hidden → abstraction appears successful

Another common loop is:

local harm reported → folded into category → category dashboard improves → local harm remains

Suppression-by-Abstraction becomes self-reinforcing when the abstraction becomes easier to improve than the underlying reality.

6. Diagnostic Markers

Diagnostic markers include:

• Averages improve while severe local cases worsen.
• Categories show closure while affected nodes report unresolved burden.
• Metrics are available but repair pathways are unclear.
• Decision-makers cannot trace a number back to concrete cases.
• Local exceptions are dismissed as noise.
• Risk scores hide distribution tails.
• Model confidence increases while affected-node trust decreases.
• Policy language becomes cleaner as field conditions become harder.
• Reports cite aggregates without threshold analysis.
• The system cannot identify who is unrepaired.
• Concrete testimony is subordinated to abstract indicators.
• Economic improvement is claimed without local coherence validation.
• Eligibility categories fail to fit actual need.
• Restoration improves when data is decompressed and locally mapped.

Useful diagnostics:

• Concrete Burden Visibility: Tests whether real burden remains visible after abstraction.
• Affected-Node Traceability: Determines whether abstract indicators can be traced back to impacted nodes.
• Model / Reality Fit: Compares representation to local conditions.
• Metric Compression Loss: Measures what is lost in aggregation.
• Average / Threshold Distortion: Tests whether averages hide critical thresholds.
• Local Coherence: Checks whether abstract improvement corresponds to actual improvement.
• Hidden Debt: Tracks unresolved burden concealed by abstraction.
• Auditability: Determines whether abstraction logic and source data can be inspected.
• Restoration Traceability: Tests whether the abstraction supports repair action.
• Abstraction Loss: Identifies information discarded during compression.

7. Related Gates

Relevant gates include:

• Concrete Reality Gate: Fails when abstraction is accepted without ground contact.
• Affected-Node Visibility Gate: Fails when impacted nodes disappear inside categories.
• Model Grounding Gate: Fails when models cannot be traced to real conditions.
• Metric Integrity Gate: Fails when indicators erase important variation.
• Auditability Gate: Fails when abstraction logic cannot be inspected.
• Local Burden Gate: Fails when local cost is not preserved in representation.
• Restoration Traceability Gate: Fails when abstract findings cannot guide repair.
• Threshold Visibility Gate: Fails when averages hide threshold breach.
• Truth Gate: Fails when representation substitutes for reality.

The first common gate failure is usually the Concrete Reality Gate.

The system accepts abstract clarity before checking what it erased.

8. Related Operators

Relevant operators include:

• Ψ — Observation / Interface: Determines how reality is represented to decision-makers.
• Au — Auditability: Reveals whether abstraction can be traced and challenged.
• O — Coherence: May appear high because the representation is orderly.
• H — Hidden Debt: Accumulates where concrete burden is suppressed.
• Γ — Selection: Selects which features count and which disappear.
• Λ — Compatibility: Tests whether abstraction fits the domain and affected nodes.
• Φ — Flow / Resource Movement: Routes resources according to abstract signals.
• K — Constraint / Load: May rise in nodes omitted from the abstraction.
• R — Restoration Capacity: Declines when repair targets become invisible.
• G — Gain: Incentivizes simplified metrics and manageable categories.
• D — Damping: Should prevent model-driven overreaction or underreaction.
• BΣ — Boundary Integrity: Separates useful abstraction from concealment.
• Τ — Trajectory / Time: Captures lag between reporting and real burden.

Common operator pattern:

Ψ compresses concrete reality
Γ selects model features
local burden falls out
O appears high through clean representation
Au weakens if traceability is absent
Φ follows abstract signal
R cannot target repair
H accumulates under model clarity

The core operator inversion is:

abstract clarity → economic truth

instead of:

abstract clarity + local traceability + threshold visibility + repair path → usable economic truth

Suppression-by-Abstraction turns model legibility into field blindness.

9. Related Laws and Invariants

Related Laws

• U4 Truth Substitution: representation replaces reality.
• Success Proxy Substitution: indicators substitute for real success.
• Narrative Substitution: explanatory frame replaces concrete condition.
• Auditability Collapse: abstraction becomes impossible to inspect.
• Hidden Debt Accumulation: unresolved burden persists beneath representation.
• Goodhart Collapse: metrics become targets.
• Measurement Back-Action: measurement reshapes the field.
• Exported Economic Incoherence: burden is often hidden outside the accounting frame.
• Risk Model Theater: risk language simulates understanding while hiding exposure.
• Procedural Theater: formal process masks unresolved reality.
• Victim Burden Inversion: affected nodes must overcome abstraction to prove harm.
• Pseudo-Coherence: abstract order hides local incoherence.

Related Invariants

• Abstraction Must Preserve Contact with Local Reality: compression must remain grounded.
• Metrics Must Not Erase Affected Nodes: measurement must preserve standing.
• Models Must Remain Repair-Traceable: representation must guide restoration.
• Averages Must Not Hide Threshold Breach: aggregate stability cannot conceal collapse zones.
• Policy Language Must Preserve Concrete Burden: language must not dissolve responsibility.
• Economic Truth Requires Local Visibility: high-level truth must include affected-state truth.
• Abstraction Must Serve Repair, Not Concealment: representation is valid only if it helps reality become more coherent.

10. Common False Positives

Not every abstraction is Suppression-by-Abstraction.

Common false positives include:

• Models that preserve local traceability.
• Metrics paired with disaggregated views.
• Averages accompanied by threshold and distribution analysis.
• Policy categories that improve access and repair.
• Risk scores that accurately flag vulnerable nodes.
• Financial representations that account for maintenance and externalities.
• Forecasts that include uncertainty and local validation.
• Dashboards that support ground-level intervention.
• Aggregation that reduces noise without erasing harm.
• Abstraction that makes hidden burden more visible.
• Compression that remains reversible.
• High-level language that directs concrete action.

Clarifying rule:

This is not Suppression-by-Abstraction unless abstraction, modeling, metrics, categories, averages, forecasts, policy language, or financial representation makes concrete burden, affected-node reality, local degradation, hidden debt, or repair need harder to see, contest, prioritize, or repair.

11. Common False Repairs

Common false repairs include:

• adding more abstract categories
• creating a new dashboard without restoring local traceability
• replacing one model with another ungrounded model
• requiring affected nodes to translate harm into institutional categories
• improving metric precision while preserving wrong abstraction
• adding qualitative appendices that do not affect decisions
• issuing policy language about lived burden without repair pathways
• averaging at a smaller scale while still hiding thresholds
• creating visibility without standing
• collecting more data without changing allocation
• treating testimony as anecdotal unless it matches the model
• creating exception processes too burdensome to use
• saying “the model has limitations” while still using it as authority
• using abstraction to decide who deserves concrete review
• converting repair obligations into future study

False repair often produces the loop:

abstraction challenged → new abstraction added → concrete burden still invisible

Another common loop is:

local harm appears → category created → dashboard improves → local harm remains unrepaired

The repair fails because it increases representational sophistication without restoring reality contact.

12. Restoration Direction

Restoration requires decomposing abstractions, tracing them back to affected nodes, restoring local visibility, preserving thresholds, reconnecting metrics to repair pathways, and ensuring models serve rather than replace concrete reality.

Primary restoration direction:

decompress abstraction,
restore affected-node traceability,
expose local burden,
and reconnect representation to repair

A fuller restoration path includes:

1. Name the abstraction. Identify the model, metric, category, average, forecast, dashboard, policy term, or financial representation.
2. Name the concrete burden. Identify what harm, scarcity, repair need, local degradation, or hidden debt may be compressed.
3. Trace source data. Determine what real nodes, events, claims, costs, or burdens feed the abstraction.
4. Identify compression loss. Determine what local variation, timing, threshold, agency, or context disappears.
5. Disaggregate the view. Break averages into distributions, thresholds, regions, nodes, phases, and affected groups.
6. Restore affected-node traceability. Make it possible to move from metric to concrete case and back.
7. Test model / reality fit. Compare abstraction against ground evidence and affected-node reports.
8. Expose thresholds. Identify nodes near collapse or repair windows hidden by averages.
9. Restore standing. Ensure affected nodes can contest the abstraction.
10. Reconnect to repair. Link every abstract finding to concrete responsibility and action.
11. Audit incentive pressure. Identify who benefits from abstract distance.
12. Revise decision rules. Prevent allocation, denial, or closure based solely on compressed indicators.
13. Preserve uncertainty. Mark where abstraction is incomplete or lossy.
14. Validate local coherence. Confirm abstract improvement matches concrete improvement.
15. Install abstraction review. Recheck whether representation continues to preserve reality contact.

A valid restoration path should reduce:

abstraction loss
affected-node invisibility
threshold concealment
model authority without traceability
metric compression debt
local burden suppression
repair ambiguity
H

Suppression-by-Abstraction is not repaired by rejecting abstraction.

It is repaired by making abstraction accountable to what it represents.

13. Cross-Module Links

• Economy: Core failure of metrics, models, averages, policy categories, financial representations, and abstracted burden.
• Diagnostics: Requires decompression, local traceability, threshold visibility, model/reality fit, and hidden-debt diagnostics.
• Cybernetics: Abstract signals can become control inputs that suppress feedback from affected nodes.
• Meta-Theory: Narrative and model frames can replace concrete reality.
• Justice: Affected nodes may lose standing when harm cannot fit authorized categories.
• Restoration: Repair cannot target what abstraction makes invisible.
• AI Governance: Model outputs, risk scores, benchmarks, policies, and safety categories can suppress concrete user harms or local meaning loss.
• Policy: Abstract policy language can dissolve responsibility unless tied to real burden and remedy.
• Interfaces: Dashboards and forms often determine what can be seen, claimed, or repaired.
• Coherence: Coherence requires representation that remains answerable to local reality.

14. Relationship to Parent / Child Modes

Production treatment: Standalone Entry

This mode maps upward to:

• FM-CORE-006 — U4 Truth Substitution
• FM-CORE-003 — Success Proxy Substitution
• FM-MT-002 — Narrative Substitution
• FM-CORE-004 — Auditability Collapse
• FM-C-018 — Goodhart Collapse

Sibling or related Economy modes include:

• FM-ECO-011 — Exported Economic Incoherence
• FM-ECO-017 — Echo Inflation
• FM-ECO-019 — Narrative Dominance
• FM-ECO-020 — Risk Model Theater
• FM-ECO-028 — Repair Starvation
• FM-ECO-029 — Growth Theater
• FM-ECO-032 — Pseudo-Coherent Economic Stability

Related cross-family modes include:

• FM-CORE-003 — Success Proxy Substitution
• FM-CORE-004 — Auditability Collapse
• FM-CORE-006 — U4 Truth Substitution
• FM-C-018 — Goodhart Collapse
• FM-C-020 — Measurement Back-Action Loop
• FM-MT-002 — Narrative Substitution
• FM-MT-011 — Managed Optics Failure
• FM-JC-001 — Procedural Theater
• FM-R-008 — Audit Evasion in Repair
• FM-AIX-011 — Epistemic Distortion
• FM-AIX-012 — Guardrail Meaning Compression
• FM-AIX-013 — False-Positive Safety Distortion

Aliases preserved from source material:

• Suppression-by-Abstraction
• Economic Abstraction Suppression
• Abstraction-Based Suppression
• Metric Abstraction Suppression
• Model-Mediated Suppression
• Policy Abstraction Suppression
• Averaging Away Harm
• Local Burden Abstraction
• Concrete Harm Dilution
• Abstracted Debt Concealment

Legacy source preserved:

legacy_ids:
  - "FM-ECOX-014"
deprecated_source_ids:
  - "FM-ECOX-014"
source_aliases:
  - "Economy Extended Entry 014"

15. Minimal Entry Version

Definition: Suppression-by-Abstraction occurs when concrete economic burden, harm, scarcity, extraction, repair need, affected-node experience, local degradation, or hidden debt is converted into abstract categories, models, metrics, averages, forecasts, policy language, or financial representations that make the real condition harder to see, contest, repair, or prioritize.

Signature:

abstraction↑
local visibility↓
affected-node traceability↓
threshold visibility↓
repair priority↓
model confidence↑
H↑

Restoration direction:

• name the abstraction
• name the concrete burden
• trace source data
• identify compression loss
• disaggregate the view
• restore affected-node traceability
• test model / reality fit
• expose thresholds
• restore standing
• reconnect to repair
• audit incentive pressure
• revise decision rules
• preserve uncertainty
• validate local coherence
• install abstraction review

16. Machine-Readable Summary

failure_mode:
  id: "FM-ECO-018"
  name: "Suppression-by-Abstraction"
  family: "Economy"
  production_treatment: "Standalone Entry"
  legacy_ids:
    - "FM-ECOX-014"
  parent_modes:
    - "FM-CORE-006 — U4 Truth Substitution"
    - "FM-CORE-003 — Success Proxy Substitution"
    - "FM-MT-002 — Narrative Substitution"
    - "FM-CORE-004 — Auditability Collapse"
    - "FM-C-018 — Goodhart Collapse"
  primary_failure: "Abstraction, modeling, metrics, categories, averages, forecasts, policy language, or financial representation makes concrete burden, affected-node reality, local degradation, hidden debt, or repair need harder to see, contest, prioritize, or repair."
  source: "UTS — Failure Modes Registry"
  source_id: "FM-ECO-018"
  deprecated_source_ids:
    - "FM-ECOX-014"
  scope_note: "Conceptual and systems-oriented; does not treat abstraction, modeling, metrics, statistics, categories, policy language, financial representation, aggregation, forecasting, dashboards, or theory as inherently failed."
  aliases:
    - "Suppression-by-Abstraction"
    - "Economic Abstraction Suppression"
    - "Abstraction-Based Suppression"
    - "Metric Abstraction Suppression"
    - "Model-Mediated Suppression"
    - "Policy Abstraction Suppression"
    - "Averaging Away Harm"
    - "Local Burden Abstraction"
    - "Concrete Harm Dilution"
    - "Abstracted Debt Concealment"
  signature:
    - "abstraction↑"
    - "local visibility↓"
    - "affected-node traceability↓"
    - "threshold visibility↓"
    - "repair priority↓"
    - "model confidence↑"
    - "H↑"
  primary_layers:
    origin:
      - "U1 — Power / Budgets"
      - "U2 — Configuration / Boundaries"
      - "U3 — Execution / Runtime"
      - "U4 — Information / Truth"
      - "U5 — Coordination / Time"
      - "U6 — Coherence Field"
      - "U7 — Memory / Recurrence"
      - "U8 — Environment / Field"
    manifestation:
      - "U2 — Boundaries"
      - "U3 — Execution"
      - "U4 — Truth"
      - "U5 — Time"
      - "U6 — Field"
      - "U7 — Memory"
  state_variables:
    - "Ψ"
    - "Au"
    - "O"
    - "H"
    - "Γ"
    - "Λ"
    - "Φ"
    - "K"
    - "R"
    - "G"
    - "D"
    - "BΣ"
    - "Τ"
  first_gate_failure: "Concrete Reality Gate"
  restoration:
    - "Concrete Reality Regrounding"
    - "Affected-Node Visibility Restoration"
    - "Metric Decompression"
    - "Model Grounding Audit"
    - "Average / Threshold Reconciliation"
    - "Hidden Debt Exposure"
    - "Local Burden Mapping"
    - "Restoration Traceability Repair"
    - "Auditability Restoration"
    - "Local Coherence Restoration"