Civilisation is operational,
but several base floors are under simultaneous pressure.
The biggest 2026 hazard is not only one disaster.
It is signal stacking:
climate shock + conflict + food insecurity + displacement + weak funding + trust breakdown.

El Niño / heat / rainfall shock
→ crop and water stress
→ food prices
→ child nutrition
→ school attendance
→ health burden
→ public finance pressure
→ trust pressure

food insecurity
→ cheaper/lower-quality diets
→ child malnutrition
→ weaker learning energy
→ health burden
→ family stress
→ social instability

conflict / route disruption
→ displacement
→ school loss
→ health access loss
→ aid cost increase
→ food insecurity
→ host-system overload
→ trust and governance pressure

outbreak + weak health system
→ clinic overload
→ school/work disruption
→ misinformation
→ trust loss
→ delayed response
→ higher mortality and repair cost

geoeconomic confrontation
→ shipping / fuel / insurance stress
→ food and aid cost rise
→ inflation
→ public finance pressure
→ household stress
→ trust and political pressure

misinformation / AI distortion
→ accepted reality fragments
→ public action weakens
→ repair instructions fail
→ crisis lasts longer
→ trust debt rises

funding gap
→ aid cut
→ food/health/shelter/school support weakens
→ local systems overloaded
→ displacement and hunger worsen
→ future repair cost rises

school disruption
→ learning loss
→ weaker confidence
→ weaker skills
→ weaker future income
→ weaker local repair capacity

energy/logistics stress
→ food and medical supply cost
→ clinic/school disruption
→ household inflation
→ aid-delivery failure
→ trust pressure

AI/digital divide
→ unequal learning and work access
→ trust stress
→ labour transition stress
→ class-floor hardening
→ 25-year inheritance split

1. Extreme heat alerts.
2. Flood, storm, drought, wildfire warnings.
3. Food-price spikes.
4. Humanitarian access disruptions.
5. Aid funding percentages.
6. Conflict escalation around chokepoints.
7. Outbreak alerts from WHO.
8. School closure and attendance reports.
9. Energy and fuel price spikes.
10. Misinformation surges during crises.

1. ENSO / El Niño updates.
2. Hunger hotspot updates.
3. Displacement and refugee data.
4. Humanitarian appeal funding.
5. Climate disaster losses.
6. Public debt and fiscal stress.
7. Vaccination and outbreak trends.
8. School disruption and learning recovery.
9. AI/cyber incidents affecting public systems.
10. Insurance retreat from climate-risk zones.

1. Whether emergency responses are becoming normal.
2. Whether aid cuts are creating invisible burnt rooms.
3. Whether repeated climate shocks are damaging schools and clinics.
4. Whether food insecurity is moving into famine-risk territory.
5. Whether trust erosion is blocking repair.
6. Whether technology is widening or narrowing education access.
7. Whether local repair capacity is improving or falling behind.

If one event affects 3 or more base floors,
raise warning by one level.

heatwave
→ health + schools + energy + food + water
= raise warning

If children’s nutrition, schooling, safety, or health are affected,
raise warning by one level.

If aid, public finance, or local maintenance cannot respond,
raise warning by one level.

If normal service is replaced by emergency routing,
classify as collapsing corridor.

If a service officially exists but people cannot use it,
classify as collapsed-in-function.

2026 STATUS:
  ORANGE overall.
RED ZONES:
  climate-exposed regions,
  conflict and displacement corridors,
  hunger hotspots,
  underfunded humanitarian systems,
  health-emergency settings.
MAIN HAZARD:
  stacked stress.
MAIN WATCH:
  climate + conflict + food + displacement + funding + trust.
MAIN CIVILISATION WARNING:
  The world may not collapse at the top.
  It may narrow from the bottom.
MAIN CHILD-INHERITANCE WARNING:
  Every missed school year, failed food corridor, displaced childhood,
  untreated illness, or climate-burnt settlement becomes a missing future room.
MAIN REPAIR RULE:
  Watch early, repair early, protect children first,
  and do not let burnt rooms become normal.

Overall Civilisation Health: Strained
Repair Capacity: Uneven
Signal Heat: High
Trust Quality: Fragmented
Direction: Adaptive but unstable
Main Risk: pressure spreading faster than repair

Health: Strained
Climate: Strained
Food: Strained
Water: Watch / Strained
War and Security: Strained
Economy: Watch / Strained
Governance: Strained
Technology: Powerful but under-governed
Trust and Information: Fragmented
Repair Capacity: Uneven
Overall Reading: Strained Adaptive

Medical knowledge: stronger
Emergency capacity: strained
Preparedness politics: unresolved
Humanitarian health access: weakened
Overall health status: Strained

food prices
energy prices
debt pressure
political anger
migration pressure
education affordability
public trust

Growth: positive but below stronger historical norms
Inflation: still sensitive
Debt pressure: uneven by country
Energy-price risk: elevated
Overall economy status: Watch / Strained

fertilizer
fuel
shipping
conflict
currency weakness
drought
flooding
local governance
aid funding

Food availability: uneven
Acute food insecurity: high
Conflict-food link: strong
Climate-food link: growing
Overall food status: Strained

Military spending: rising
Conflict risk: elevated
Humanitarian cost: high
Supply-chain exposure: high
Trust between blocs: weak
Overall security status: Strained

Emissions: still too high
Clean energy growth: strong
Adaptation pressure: rising
Climate damage: accumulating
Overall climate status: Strained

war
governance
climate
food
water
economy
security
health

Scale: historically high
Main drivers: conflict, violence, instability, climate-linked stress
Repair burden: high
Overall displacement status: Strained / Critical in hotspots

public health compliance
tax collection
school reform
climate action
war restraint
disaster response
food distribution
technology governance

Political rights: under pressure
Civil liberties: under pressure
Institutional trust: fragmented
Repair ability: weakened by polarisation
Overall governance status: Strained

fast tools
slow institutions
weak trust
poor verification
high information speed
low public understanding

Capability: strong
Deployment speed: high
Governance: uneven
Public understanding: uneven
Overall technology status: Powerful but under-governed

2026 vs 2025:
More connected pressure
More visible humanitarian strain
More military expenditure
More economic sensitivity to war and energy
More urgent need for repair coordination

public trust
supply chains
health systems
school continuity
global cooperation
information quality
social resilience

2026 vs 2021:
Less pandemic shock
More war and geopolitical stress
More inflation memory
More climate visibility
More AI and technology acceleration
Less public trust in many systems

2026 vs 2016:
More military expenditure
More climate pressure
More information fragmentation
More distrust
More technology power
More fragile global cooperation

always-online information
algorithmic public opinion
AI acceleration
high climate visibility
larger displacement pressure
higher military spending
weaker trust in many institutions
stronger clean-energy capability

2026 vs 2006:
More connected
More informed
More exposed
More anxious
More technically capable
More institutionally strained

The world is not in collapse.
The world is not healthy.
The world is strained adaptive.

systems still work
repair still happens
innovation is real
coordination still exists
but stress is multi-system
trust is weaker
buffers are thinner
and many repairs arrive late

1. War and energy shock
2. Food insecurity and humanitarian funding gaps
3. Climate-linked disasters
4. Health emergencies in weak systems
5. Debt and inflation pressure
6. Governance breakdown and trust loss
7. Misinformation and public-reality fragmentation
8. Technology faster than regulation
9. Displacement pressure
10. Repair fatigue

clean energy is scaling
medical knowledge is stronger
global data systems are better
AI can improve analysis and education
many cities are adapting
many communities remain resilient
food and health agencies still coordinate
early-warning systems are improving
young people are more globally aware

Year: 2026
Overall Status: Strained Adaptive
Civilisation Health: Under pressure but still repairable
Main Weakness: uneven repair capacity
Main Strength: technological and institutional adaptation
Main Warning: trust and coordination are weakening
Main Hope: repair tools are stronger than before

Current Year Baseline
Δ vs Previous Year
Δ vs 5 Years Ago
Δ vs 10 Years Ago
Δ vs 20 Years Ago

2026 Baseline
Δ vs 2025
Δ vs 2021
Δ vs 2016
Δ vs 2006

Healthy Stable
Fragile Stable
Strained
Degrading
Critical

Conflict pressure
Climate pressure
Technology and AI pressure
Economic spillover risk
Food, water, and energy exposure
Trust and misinformation pressure
Governance coordination capacity
Repair capacity
System coupling risk

Are risks isolated?
Are risks spreading?
Are risks combining?
Are repair systems keeping up?
Are trust systems holding?
Are institutions still able to coordinate?

Global Risk Health Status:
1-Year Delta:
5-Year Delta:
10-Year Delta:
20-Year Deep Context:
Main Risk Corridors:
Main Repair Corridors:
CivOS Reading:
Next-Year Outlook:

Active wars
Frozen conflicts
Regional escalation zones
Great-power rivalry
Alliance stress
Trade-route pressure
Sanctions and economic warfare
Military modernisation
Nuclear and strategic deterrence stress
Diplomatic repair channels
Off-ramp availability

Geopolitical Risk Status:
Conflict Delta vs Previous Year:
Alliance Stability Delta:
Escalation Corridor Reading:
Off-Ramp Capacity:
Diplomatic Repair Capacity:
WarOS / GovernanceOS Reading:
Next-Year Watch Corridors:

Food prices
Water security
Migration pressure
Health systems
Insurance systems
Housing costs
Infrastructure repair
Energy demand
Political trust
State capacity

Extreme heat
Flooding
Drought
Wildfire
Sea-level exposure
Food-system stress
Water stress
Insurance retreat
Infrastructure damage
Adaptation funding
Climate-policy repair
Energy transition realism

Climate Pressure
Adaptation Capacity

Climate Risk Status:
Climate Pressure Delta:
Adaptation Capacity Delta:
Infrastructure Exposure:
Food / Water Transmission Risk:
Insurance / Cost-of-Living Spillover:
ClimateOS Reading:
Next-Year Watch Corridors:

AI capability growth
AI deployment speed
AI governance maturity
Cybersecurity pressure
Deepfake and synthetic media risk
Automation and labour displacement
Compute and data-centre energy load
Education and skills mismatch
Digital infrastructure dependency
Platform concentration
AI safety and accountability

Is capability rising?
Is governance rising?
Is education rising?
Is safety rising?
Is trust protection rising?
Is infrastructure readiness rising?

Technology / AI Risk Status:
AI Capability Delta:
AI Governance Delta:
Cyber Risk Delta:
Human Capability Delta:
Energy / Compute Load:
TechnologyOS / EducationOS Reading:
Next-Year Watch Corridors:

Institutional trust
Media trust
Election information integrity
Public-health information trust
Synthetic media risk
Conspiracy spread
Polarisation
Narrative lock
Correction capacity
Shadow noise
Reality fragmentation
Trust repair

Is there a flood?
Is there a disease outbreak?
Was an election result valid?
Did a video show a real event?
Is a public warning trustworthy?
Are institutions correcting errors honestly?

Shadow Noise

weak signals
unverified claims
early anomalies
fringe narratives
conspiracy-like material
unresolved contradictions
repeated but low-confidence information fragments

Do not certify early.
Do not amplify irresponsibly.
Do not ignore repeated anomalies.
Hold in a guarded watch layer.
Retest against future evidence.
Upgrade only if verification improves.
Downgrade if disproven.

Social Trust Status:
Misinformation Pressure Delta:
Institutional Trust Delta:
Reality Fragmentation Reading:
Correction / Verification Capacity:
Shadow Noise Watch:
NewsOS / RealityOS Reading:
Next-Year Watch Corridors:

Geopolitical risk may increase energy risk.
Energy risk may increase cost-of-living pressure.
Cost-of-living pressure may reduce trust.
Low trust may increase misinformation vulnerability.
Misinformation may weaken public response to climate or health warnings.
Technology may amplify both repair capacity and misinformation pressure.

GLOBAL RISK CONTROL TOWER
Year:
Report Date:
Comparison Years:
- Previous Year:
- 5 Years Ago:
- 10 Years Ago:
- 20 Years Ago:
1. Global Risk Health
Status:
Delta:
Repair Capacity:
Risk Direction:
2. Geopolitical Risk
Status:
Delta:
Repair Capacity:
Risk Direction:
3. Climate Risk
Status:
Delta:
Repair Capacity:
Risk Direction:
4. Technology and AI Risk
Status:
Delta:
Repair Capacity:
Risk Direction:
5. Social Trust and Misinformation Risk
Status:
Delta:
Repair Capacity:
Risk Direction:
Cross-Risk Coupling:
Fastest Rising Risk:
Most Under-Repaired Risk:
Most Repairable Risk:
Shadow Noise Watch:
Main 12-Month Watch Corridors:
Final Part 2 Reading:

THE PURPLE REPORT ANNUAL
PART 2 — GLOBAL RISK LAYER
Year:
Report Date:
Current Baseline Year:
Previous Year Comparison:
5-Year Comparison:
10-Year Comparison:
20-Year Comparison:
Core Annual Question:
Are global risks rising faster than the world’s ability to repair, adapt, govern, and coordinate?
Annual Health Scale:
Healthy Stable
Fragile Stable
Strained
Degrading
Critical

GLOBAL RISK HEALTH REPORT
Status:
1-Year Delta:
5-Year Delta:
10-Year Delta:
20-Year Deep Context:
Main Risk Corridors:
1.
2.
3.
Main Repair Corridors:
1.
2.
3.
System Coupling:
Low / Medium / High / Severe
Repair Capacity:
Strong / Uneven / Weak / Overloaded
CivOS Reading:
Next-Year Outlook:

GEOPOLITICAL RISK DELTA REPORT
Status:
Conflict Delta vs Previous Year:
Alliance Stability Delta:
Escalation Corridor Reading:
Off-Ramp Capacity:
Diplomatic Repair Capacity:
Main Watch Corridors:
1.
2.
3.
Risk Direction:
Improving / Stable / Worsening / Escalating
CivOS Reading:
Next-Year Outlook:

CLIMATE RISK DELTA REPORT
Status:
Climate Pressure Delta:
Adaptation Capacity Delta:
Infrastructure Exposure:
Food / Water Transmission Risk:
Insurance / Cost-of-Living Spillover:
Main Watch Corridors:
1.
2.
3.
Repair Capacity:
Ahead of Pressure / Keeping Pace / Lagging / Overwhelmed
CivOS Reading:
Next-Year Outlook:

TECHNOLOGY AND AI RISK DELTA REPORT
Status:
AI Capability Delta:
AI Governance Delta:
Cyber Risk Delta:
Human Capability Delta:
Energy / Compute Load:
Main Watch Corridors:
1.
2.
3.
Capability vs Control:
Balanced / Capability Ahead / Governance Lagging / High Risk Gap
CivOS Reading:
Next-Year Outlook:

SOCIAL TRUST AND MISINFORMATION RISK REPORT
Status:
Misinformation Pressure Delta:
Institutional Trust Delta:
Reality Fragmentation Reading:
Correction / Verification Capacity:
Shadow Noise Watch:
Main Watch Corridors:
1.
2.
3.
Trust Direction:
Improving / Stable / Fragmenting / Degrading
Shadow Noise Protocol:
Hold / Retest / Upgrade / Downgrade / Disprove
CivOS Reading:
Next-Year Outlook:

GLOBAL RISK CONTROL TOWER
Year:
Report Date:
1. Global Risk Health
Status:
Delta:
Repair Capacity:
Risk Direction:
2. Geopolitical Risk
Status:
Delta:
Repair Capacity:
Risk Direction:
3. Climate Risk
Status:
Delta:
Repair Capacity:
Risk Direction:
4. Technology and AI Risk
Status:
Delta:
Repair Capacity:
Risk Direction:
5. Social Trust and Misinformation Risk
Status:
Delta:
Repair Capacity:
Risk Direction:
Cross-Risk Coupling:
Fastest Rising Risk:
Most Under-Repaired Risk:
Most Repairable Risk:
Shadow Noise Watch:
Main 12-Month Watch Corridors:
Final Part 2 Reading:

PURPLE_REPORT_ANNUAL_PART_2_GLOBAL_RISK_LAYER {
    PUBLIC.ID:
        Part 2 — Global Risk Layer
    MACHINE.ID:
        EKSG.PURPLE.ANNUAL.P2.GLOBAL_RISK_LAYER.v1.0
    REPORT.FAMILY:
        The Purple Report Annual
    REPORT.TYPE:
        civilisation_health_audit
    ZTIME:
        Annual
    PRIMARY_FUNCTION:
        read_global_risk_pressure_against_repair_capacity
    CORE_QUESTION:
        Are global risks rising faster than the world’s ability to repair, adapt, govern, and coordinate?
    COMPARISON_WINDOWS:
        current_year_baseline
        delta_previous_year
        delta_5_years
        delta_10_years
        delta_20_years
    EXAMPLE_2026_COMPARISON:
        baseline_2026
        delta_2025
        delta_2021
        delta_2016
        delta_2006
    HEALTH_SCALE:
        Healthy_Stable
        Fragile_Stable
        Strained
        Degrading
        Critical
    CORE_READ_RULE:
        risk_is_civilisationally_serious_when_pressure_rises_faster_than_repair_capacity_across_connected_systems
    COMPONENTS:
        F06_GLOBAL_RISK_HEALTH_REPORT {
            PUBLIC.TITLE:
                Global Risk Health Report
            MACHINE.ID:
                EKSG.PURPLE.ANNUAL.P2.F06.GLOBAL_RISK_HEALTH.v1.0
            LATTICE.CODE:
                LAT.PURPLE.P2.GLOBAL_RISK.F06.ZGLOBAL.TANNUAL.DELTA_1Y_5Y_10Y_20Y
            FUNCTION:
                establish_overall_global_risk_baseline
            CORE_QUESTION:
                Is the world risk field healthier or weaker than one year ago?
            TRACKS:
                conflict_pressure
                climate_pressure
                technology_ai_pressure
                economic_spillover_risk
                food_water_energy_exposure
                trust_misinformation_pressure
                governance_coordination_capacity
                repair_capacity
                system_coupling_risk
            OUTPUT:
                global_risk_status
                one_year_delta
                five_year_delta
                ten_year_delta
                twenty_year_context
                main_risk_corridors
                main_repair_corridors
                next_year_outlook
        }
        F07_GEOPOLITICAL_RISK_DELTA_REPORT {
            PUBLIC.TITLE:
                Geopolitical Risk Delta Report
            MACHINE.ID:
                EKSG.PURPLE.ANNUAL.P2.F07.GEOPOLITICAL_RISK_DELTA.v1.0
            LATTICE.CODE:
                LAT.PURPLE.P2.GEOPOLITICAL.F07.WAROS_GOVERNANCEOS.TANNUAL.DELTA_1Y_5Y_10Y_20Y
            FUNCTION:
                measure_annual_geopolitical_pressure_and_escalation_corridors
            CORE_QUESTION:
                Did the geopolitical system become more stable, fragmented, or escalation-prone?
            TRACKS:
                active_wars
                frozen_conflicts
                regional_escalation_zones
                great_power_rivalry
                alliance_stress
                trade_route_pressure
                sanctions_and_economic_warfare
                military_modernisation
                nuclear_strategic_deterrence_stress
                diplomatic_repair_channels
                offramp_availability
            OUTPUT:
                geopolitical_risk_status
                conflict_delta
                alliance_stability_delta
                escalation_corridor_reading
                offramp_capacity
                diplomatic_repair_capacity
                next_year_watch_corridors
        }
        F08_CLIMATE_RISK_DELTA_REPORT {
            PUBLIC.TITLE:
                Climate Risk Delta Report
            MACHINE.ID:
                EKSG.PURPLE.ANNUAL.P2.F08.CLIMATE_RISK_DELTA.v1.0
            LATTICE.CODE:
                LAT.PURPLE.P2.CLIMATE.F08.CLIMATEOS_WATEROS_FOODOS.TANNUAL.DELTA_1Y_5Y_10Y_20Y
            FUNCTION:
                measure_climate_pressure_against_adaptation_and_repair_capacity
            CORE_QUESTION:
                Is climate risk moving faster than civilisation can adapt and repair?
            TRACKS:
                extreme_heat
                flooding
                drought
                wildfire
                sea_level_exposure
                food_system_stress
                water_stress
                insurance_retreat
                infrastructure_damage
                adaptation_funding
                climate_policy_repair
                energy_transition_reality
            OUTPUT:
                climate_risk_status
                climate_pressure_delta
                adaptation_capacity_delta
                infrastructure_exposure
                food_water_transmission_risk
                insurance_cost_spillover
                next_year_watch_corridors
        }
        F09_TECHNOLOGY_AI_RISK_DELTA_REPORT {
            PUBLIC.TITLE:
                Technology and AI Risk Delta Report
            MACHINE.ID:
                EKSG.PURPLE.ANNUAL.P2.F09.TECH_AI_RISK_DELTA.v1.0
            LATTICE.CODE:
                LAT.PURPLE.P2.TECH_AI.F09.TECHNOLOGYOS_EDUCATIONOS_ENERGYOS.TANNUAL.DELTA_1Y_5Y_10Y_20Y
            FUNCTION:
                measure_ai_and_technology_capability_against_governance_and_human_adaptation
            CORE_QUESTION:
                Did technology increase civilisation capability faster than it increased systemic risk?
            TRACKS:
                ai_capability_growth
                ai_deployment_speed
                ai_governance_maturity
                cybersecurity_pressure
                synthetic_media_risk
                automation_displacement
                compute_energy_load
                education_skills_mismatch
                digital_infrastructure_dependency
                platform_concentration
                ai_safety_accountability
            OUTPUT:
                technology_ai_risk_status
                ai_capability_delta
                ai_governance_delta
                cyber_risk_delta
                human_capability_delta
                energy_compute_load
                next_year_watch_corridors
        }
        F10_SOCIAL_TRUST_MISINFORMATION_RISK_REPORT {
            PUBLIC.TITLE:
                Social Trust and Misinformation Risk Report
            MACHINE.ID:
                EKSG.PURPLE.ANNUAL.P2.F10.SOCIAL_TRUST_MISINFO_RISK.v1.0
            LATTICE.CODE:
                LAT.PURPLE.P2.TRUST_REALITY.F10.NEWSOS_REALITYOS_TRUSTOS.TANNUAL.DELTA_1Y_5Y_10Y_20Y
            FUNCTION:
                measure_trust_integrity_information_disorder_and_reality_fragmentation
            CORE_QUESTION:
                Did societies become more capable of agreeing on reality, or more vulnerable to fragmentation?
            TRACKS:
                institutional_trust
                media_trust
                election_information_integrity
                public_health_information_trust
                synthetic_media_risk
                conspiracy_spread
                polarisation
                narrative_lock
                correction_capacity
                shadow_noise
                reality_fragmentation
                trust_repair
            SHADOW_NOISE_PROTOCOL:
                do_not_certify_early
                do_not_amplify_irresponsibly
                do_not_ignore_repeated_anomalies
                hold_in_guarded_watch_layer
                retest_against_future_evidence
                upgrade_only_if_verification_improves
                downgrade_if_disproven
            OUTPUT:
                social_trust_status
                misinformation_pressure_delta
                institutional_trust_delta
                reality_fragmentation_reading
                correction_verification_capacity
                shadow_noise_watch
                next_year_watch_corridors
        }
        F11_GLOBAL_RISK_CONTROL_TOWER {
            PUBLIC.TITLE:
                Global Risk Control Tower
            MACHINE.ID:
                EKSG.PURPLE.ANNUAL.P2.F11.GLOBAL_RISK_CONTROL_TOWER.v1.0
            LATTICE.CODE:
                LAT.PURPLE.P2.CONTROL_TOWER.F11.ALL_GLOBAL_RISK_SYSTEMS.TANNUAL.SYNTHESIS
            FUNCTION:
                compile_all_part_2_risk_reports_into_one_annual_control_tower
            CORE_QUESTION:
                Which global risks are rising, which are repairable, and which may combine into larger civilisation stress?
            INPUTS:
                F06_GLOBAL_RISK_HEALTH_REPORT
                F07_GEOPOLITICAL_RISK_DELTA_REPORT
                F08_CLIMATE_RISK_DELTA_REPORT
                F09_TECHNOLOGY_AI_RISK_DELTA_REPORT
                F10_SOCIAL_TRUST_MISINFORMATION_RISK_REPORT
            OUTPUT:
                part_2_global_risk_status
                cross_risk_coupling
                fastest_rising_risk
                most_under_repaired_risk
                most_repairable_risk
                shadow_noise_watch
                twelve_month_watch_corridors
                final_part_2_reading
        }
    FINAL_READER_RULE:
        The Global Risk Layer is not a fear report.
        It is a clarity report.
    FINAL_MACHINE_RULE:
        classify_each_risk_by_pressure_delta_repair_capacity_coupling_trust_quality_and_time_to_threshold
}

CHILD POVERTY
→ weak nutrition
→ weak learning
→ weak health
→ weak confidence
→ weak future labour capacity
→ weak institutional trust
→ weaker civilisation repair capacity

war
+ climate shocks
+ fertilizer cost
+ energy cost
+ supply-chain disruption
+ currency weakness
+ household poverty
= food-floor instability

FOOD STRESS
→ child malnutrition
→ school weakness
→ health burden
→ social unrest risk
→ migration pressure
→ political pressure
→ weaker civilisation stability

clean water
→ sanitation
→ disease prevention
→ child survival
→ school attendance
→ adult productivity
→ lower system burden
→ stronger repair capacity

unsafe water
→ disease
→ missed school
→ lost income
→ medical debt
→ weaker family stability
→ weaker national capacity

stable childhood
→ school access
→ teacher quality
→ learning transfer
→ confidence
→ capability
→ skilled labour
→ institutional competence
→ civilisation repair

poverty
+ climate disruption
+ weak schooling
+ poor transfer
+ family stress
= reduced future capability

electricity
→ lighting
→ refrigeration
→ digital access
→ school support
→ business activity
→ health-system resilience
→ modern participation

no electricity
→ weak schooling
→ weak healthcare
→ weak enterprise
→ weak communication
→ weak repair capacity

stable climate
→ stable rainfall
→ stable crops
→ stable water
→ stable settlements
→ stable schools
→ stable institutions
→ stable future planning

heat
+ drought
+ floods
+ storms
+ sea-level rise
+ biodiversity loss
= reduced future floor space

peace
→ home stability
→ school continuity
→ family continuity
→ local economy
→ trust
→ long-term planning

conflict
→ displacement
→ school loss
→ health risk
→ trauma
→ livelihood loss
→ institutional overload
→ future capability loss

event
→ signal
→ verification
→ trust
→ public acceptance
→ coordination
→ action

distorted signal
→ false accepted reality
→ bad coordination
→ bad policy
→ reality debt
→ trust collapse

healthy public finance
→ social investment
→ infrastructure repair
→ education support
→ health capacity
→ climate adaptation
→ stronger future floor

high debt service
→ reduced public investment
→ weaker repair
→ weaker resilience
→ deeper future cost

digital access
→ knowledge access
→ productivity
→ healthcare support
→ early warning systems
→ better coordination
→ wider future floor

digital inequality
+ misinformation
+ cyber risk
+ algorithmic harm
+ weak governance
= unstable future floor

2051 FLOOR = smaller, hotter, more unequal, more fragile

2051 FLOOR = advanced in places, broken in places

2051 FLOOR = wider, safer, cleaner, more capable, more repairable

What floor am I standing on?
Who built it?
Who is maintaining it?
What is burning?
What is widening?
What will children inherit?
What can I repair?

STATUS: STRAINED BUT REPAIRABLE
BASE FLOOR CONDITION:
Civilisation remains operational, but several foundational floors are under simultaneous pressure.
MAIN RISK:
The future floor for children narrows if poverty, climate stress, food insecurity, displacement, weak education transfer, debt pressure, and trust breakdown continue faster than repair.
MAIN STRENGTH:
Humanity has strong tools: knowledge, data, public health systems, clean energy, digital networks, education systems, humanitarian experience, and growing awareness of planetary limits.
MAIN WEAKNESS:
Repair capacity is uneven, underfunded, politically fragmented, and often slower than damage.
PLANETOS READING:
The civilisation building is still standing, but some rooms are already burning. The task of 2026 is to stop pretending the upper floors are safe if the base floors are weakening.
CHILD INHERITANCE READING:
The 2026 floor plan will become part of the 2051 inheritance. What adults repair now becomes children’s future floor space. What adults neglect now becomes children’s missing rooms.
FINAL READING:
Civilisation must move from growth-only thinking to base-floor protection and future-floor widening.

REPORT.ID:
  EKSG.PR.ANNUAL.2026.PART02.BASEFLOORS.CIVILISATION.v1.0
PUBLIC.TITLE:
  The Purple Report Annual 2026 Part 2: Base Floors for Civilisation
CORE.DEFINITION:
  Base Floors for Civilisation are the essential life-support, trust, learning,
  infrastructure, Earth-system, and repair layers that allow civilisation to remain
  stable enough for future generations to inherit a usable world.
FRAME:
  Civilisation = stacked building across time.
  Each year = new floor.
  Children = future inheritors and future operators.
  PlanetOS = lower structural floor beneath all human systems.
  Repair Capacity = maintenance crew of civilisation.
  Burn Route = destruction of future rooms/corridors before children arrive.
  Widen Route = repair/regeneration/investment that increases future floor space.
2026.STATUS:
  Strained but repairable.
MAIN.READING:
  Civilisation is still standing, but several base floors are carrying too much
  load at the same time.
BASE.FLOORS:
  01_CHILDREN_AND_HUMAN_CONTINUITY
  02_FOOD_AND_NUTRITION
  03_WATER_SANITATION_AND_HEALTH
  04_EDUCATION_AND_LEARNING_TRANSFER
  05_ENERGY_AND_INFRASTRUCTURE
  06_PLANETOS_EARTH_SYSTEMS
  07_SAFETY_PEACE_AND_DISPLACEMENT
  08_TRUST_INFORMATION_AND_ACCEPTED_REALITY
  09_FINANCE_DEBT_AND_REPAIR_CAPACITY
  10_TECHNOLOGY_AND_DIGITAL_ACCESS
KEY.DATA.PINS:
  CHILD.POVERTY:
    412 million children aged 17 or younger lived in households below $3/day in 2024.
    SOURCE: World Bank / UNICEF.
  FOOD:
    673 million people faced hunger in 2024.
    2.3 billion experienced moderate or severe food insecurity.
    SOURCE: SOFI 2025 / UNICEF / FAO family.
  ENERGY:
    730 million people lacked electricity in 2024.
    Nearly 2 billion lacked clean cooking.
    SOURCE: IEA 2025.
  DISPLACEMENT:
    123.2 million forcibly displaced at end-2024.
    SOURCE: UNHCR Global Trends 2024.
  CLIMATE:
    2015–2025 = hottest 11 years on record.
    2025 = second or third warmest year, about 1.43°C above 1850–1900.
    SOURCE: WMO State of Global Climate 2025.
  EDUCATION.DISRUPTION:
    At least 242 million children had schooling disrupted by extreme weather in 2024.
    SOURCE: UNICEF / AP report.
CIVILISATION.CHAIN:
  base floors strong
  -> repair capacity stable
  -> children learn
  -> institutions function
  -> future floor widens
FAILURE.CHAIN:
  base floors weaken
  -> repair capacity overloaded
  -> children lose corridors
  -> trust weakens
  -> institutions drift
  -> future floor narrows
PLANETOS.LAW:
  PlanetOS is not an external add-on.
  Earth systems are the lower structural floor of civilisation.
CHILD.INHERITANCE.LAW:
  The 2026 floor plan becomes part of the 2051 inheritance.
  What adults repair now becomes children’s future floor space.
  What adults neglect now becomes children’s missing rooms.
FINAL.VERDICT:
  Civilisation must move from growth-only thinking to base-floor protection
  and future-floor widening.

solar + batteries + mini-grids
digital public infrastructure
AI-assisted health and education
climate-smart agriculture
early warning systems
water recycling and smart water systems
low-cost connectivity
open learning systems
clean cooking and electrification
satellite and sensor-based PlanetOS monitoring
resilient housing and cooling systems
trust, verification, and reality-ledger tools

1. Does it help more people survive?
2. Does it help more children learn?
3. Does it reduce future damage?
4. Does it increase repair capacity?
5. Does it remain usable by ordinary communities, not only elites?

solar power
+ batteries
+ mini-grids
+ clean cooking
+ local maintenance
= wider energy floor

LOCAL CLEAN ENERGY
→ school lighting
→ clinic refrigeration
→ phone charging
→ mobile banking
→ cold storage
→ water pumping
→ digital access
→ wider base floor

DIGITAL ID
+ FAST PAYMENTS
+ SAFE DATA EXCHANGE
= faster benefit delivery
+ financial inclusion
+ emergency response
+ lower leakage
+ stronger public service floor

triage support
clinical decision support
medical imaging assistance
drug discovery
disease surveillance
translation
paperwork reduction
appointment routing
community health support

AI HEALTH SUPPORT
→ faster screening
→ better triage
→ reduced paperwork
→ wider clinic reach
→ earlier treatment
→ stronger repair capacity

diagnostic quizzes
step-by-step explanations
reading support
language translation
practice generation
feedback loops
learning-gap detection
exam preparation
parent support
teacher workload reduction

AI LEARNING SUPPORT
→ earlier diagnosis
→ more practice
→ personalised explanation
→ teacher intelligence
→ lower learning leakage
→ stronger future operator floor

drought-resistant seeds
precision irrigation
soil sensors
satellite crop monitoring
AI pest detection
weather-index insurance
farmer advisory apps
cold-chain logistics
solar cold storage
digital market access
vertical farming in dense cities
alternative proteins where appropriate

CLIMATE-SMART FOOD SYSTEM
→ better yield
→ lower loss
→ better farmer decisions
→ less climate shock damage
→ lower hunger pressure
→ stronger food floor

leak detection
smart metering
wastewater recycling
rainwater harvesting
desalination where viable
solar-powered pumps
groundwater monitoring
wetland restoration
watershed protection
precision irrigation
industrial water reuse

drinking water
sanitation
food production
urban resilience
public health
ecosystems
industrial continuity

WATER REPAIR
→ safe drinking water
→ sanitation
→ crop stability
→ disease reduction
→ climate resilience
→ wider life floor

satellites
weather radar
river sensors
AI flood models
SMS alerts
community sirens
risk maps
school closure protocols
heat-health alerts
crop warning systems
evacuation routing

EARLY WARNING
→ more lead time
→ lower deaths
→ lower crop loss
→ safer schools
→ better evacuation
→ stronger disaster repair floor

cool roofs
passive cooling
urban trees
district cooling
floodable parks
sponge-city drainage
modular housing
low-carbon cement
heat-safe school design
solar rooftops
building energy retrofits
community cooling centres

RESILIENT HOUSING
→ safer sleep
→ lower heat stress
→ better learning
→ lower health burden
→ stronger family floor

community networks
low-earth-orbit satellite internet
public Wi-Fi
school connectivity
solar-powered towers
affordable devices
offline-first learning content
local-language digital tools

education
health information
payments
weather alerts
job markets
family communication
government services
emergency support

CONNECTIVITY
→ information access
→ payment access
→ learning access
→ emergency access
→ wider participation floor

source provenance systems
content authenticity standards
public evidence ledgers
auditable AI outputs
fact-checking networks
secure public records
community verification
watermarking where useful
chain-of-custody records
anti-fraud digital identity

TRUST INFRASTRUCTURE
→ clearer signal
→ stronger public acceptance
→ better coordination
→ faster repair
→ lower reality debt

right-to-repair systems
electronics recycling
battery recycling
urban mining
modular product design
repair cafes
industrial symbiosis
construction material reuse
biodegradable packaging
waste-to-resource systems

REPAIR ECONOMY
→ less waste
→ lower material pressure
→ local jobs
→ cheaper maintenance
→ stronger resilience

fast digital payments
parametric insurance
climate risk finance
diaspora remittance platforms
transparent aid tracking
green bonds
school meal financing
carbon and biodiversity finance with safeguards
public procurement transparency
microinsurance

shock happens
→ household identified
→ payment sent
→ food bought
→ school retained
→ health protected
→ floor damage reduced

solar
+ batteries
+ internet
+ devices
+ local maintenance
= school/clinic floor widening

safe water
+ toilets
+ cooling
+ shade
+ heat alerts
= child survival and learning protection

teacher support AI
+ clinic support AI
+ translation
+ diagnostics
+ local supervision
= wider expert reach

farmer data
+ weather intelligence
+ resilient seeds
+ irrigation
+ storage
+ market access
= stronger food floor

source tracking
+ public evidence
+ auditable AI
+ media literacy
= lower reality debt

solar rooftops
mini-grids
battery storage
clean cooking
digital payments
school connectivity
telemedicine
weather alerts
water leak detection
climate-smart farming
open educational resources
public health dashboards

AI tutors
AI health triage
digital ID
data exchange systems
predictive welfare targeting
AI agriculture platforms
satellite-based insurance
automated misinformation detection

advanced carbon removal
fusion energy
fully autonomous clinics
general-purpose robotics
synthetic biology food systems
large-scale geoengineering
fully AI-run public administration

technology adoption = tool exists and spreads
civilisation-grade deployment =
  tool exists
  + reaches ordinary people
  + remains affordable
  + has repair support
  + protects rights
  + reduces harm
  + widens future floor space

BASE FLOOR WIDENING =
  ENERGY ACCESS
+ WATER SECURITY
+ FOOD RESILIENCE
+ HEALTH REACH
+ LEARNING TRANSFER
+ CONNECTIVITY
+ TRUST INFRASTRUCTURE
+ CLIMATE ADAPTATION
+ REPAIR FINANCE
+ LOCAL CAPABILITY

STATUS:
  Strong technology opportunity, weak deployment equality.
MAIN FINDING:
  The world already has many tools that can widen civilisation’s base floors
  from 2026 onward, especially in energy, connectivity, agriculture, health,
  education, water, early warning, and digital public infrastructure.
MAIN RISK:
  These tools may widen elite floors faster than base floors if access,
  governance, affordability, and repair are not handled.
MAIN OPPORTUNITY:
  The strongest civilisation repair path is not one invention.
  It is the stacking of practical technologies into ordinary life.
CHILD INHERITANCE READING:
  If deployed well, 2026 technologies can help children inherit a wider 2051 floor.
  If deployed badly, they can create sharper inequality, higher dependency,
  and more fragile accepted reality.
FINAL PLANETOS READING:
  Technology must become repair architecture.
  Otherwise it is only speed.

REPORT.ID:
  EKSG.PR.ANNUAL.2026.PART02B.SOLUTIONS.BASEFLOORS.v1.0
TITLE:
  Solutions and Upcoming Technologies That Can Increase Base Floor Space
  from 2026 Onwards
CORE.DEFINITION:
  Base-floor widening technologies are tools that increase the amount of safe,
  usable, repairable life-space available to people, especially children, by
  improving access to energy, food, water, health, learning, safety, trust,
  climate resilience, and future opportunity.
CONTROL.QUESTION:
  Does this technology increase usable future floor space for more people,
  or does it only make upper floors faster, richer, and more fragile?
BASE.FLOOR.TEST:
  1_SURVIVAL:
    Does it help more people survive?
  2_LEARNING:
    Does it help more children learn?
  3_DAMAGE_REDUCTION:
    Does it reduce future damage?
  4_REPAIR_CAPACITY:
    Does it increase repair capacity?
  5_ACCESS:
    Does it remain usable by ordinary communities, not only elites?
SOLUTION.LAYERS:
  01_SOLAR_BATTERIES_MINIGRIDS:
    FUNCTION: widen local energy floor.
    RISK: maintenance failure, battery waste, unfair pricing.
  02_DIGITAL_PUBLIC_INFRASTRUCTURE:
    FUNCTION: identity, payments, data exchange, public service access.
    RISK: surveillance, exclusion, bad data lockout.
  03_AI_HEALTH:
    FUNCTION: triage, diagnostics, admin relief, clinical support.
    RISK: black-box harm, inequity, false confidence.
  04_AI_EDUCATION:
    FUNCTION: diagnosis, practice, feedback, translation, teacher support.
    RISK: dependency, cheating, unequal access.
  05_CLIMATE_SMART_AGRICULTURE:
    FUNCTION: food resilience, farmer decision support, yield stability.
    RISK: farmer dependency, platform extraction.
  06_WATER_REPAIR_TECH:
    FUNCTION: water recycling, leak detection, groundwater monitoring,
    sanitation, irrigation efficiency.
    RISK: tech without governance.
  07_EARLY_WARNING_SYSTEMS:
    FUNCTION: disaster lead time, mortality reduction, school and crop protection.
    RISK: warning without response capacity.
  08_RESILIENT_HOUSING_AND_COOLING:
    FUNCTION: heat safety, flood protection, family stability.
    RISK: climate resilience becomes luxury-only.
  09_LOW_COST_CONNECTIVITY:
    FUNCTION: education, health, finance, emergency access.
    RISK: misinformation, exploitation, child harm.
  10_TRUST_TECH_AND_REALITY_LEDGERS:
    FUNCTION: source verification, public evidence, auditable AI, lower reality debt.
    RISK: censorship or control if abused.
  11_CIRCULAR_REPAIR_ECONOMY:
    FUNCTION: reuse, repair, recycling, lower material pressure.
    RISK: recycling used as excuse for overconsumption.
  12_REPAIR_FINANCE_TECH:
    FUNCTION: fast payments, parametric insurance, aid tracking, shock support.
    RISK: fraud, debt traps, predatory fintech.
DEPLOYMENT.PRIORITY:
  1_ENERGY_CONNECTIVITY_FOR_SCHOOLS_AND_CLINICS
  2_WATER_SANITATION_AND_HEAT_PROTECTION
  3_AI_SUPPORT_FOR_TEACHERS_AND_HEALTH_WORKERS
  4_CLIMATE_SMART_FOOD_SYSTEMS
  5_TRUST_AND_VERIFICATION_SYSTEMS
MATURITY.CATEGORIES:
  DEPLOY_NOW:
    solar rooftops, mini-grids, battery storage, clean cooking,
    digital payments, school connectivity, telemedicine, weather alerts,
    water leak detection, climate-smart farming, public health dashboards.
  SCALE_CAREFULLY:
    AI tutors, AI health triage, digital ID, data exchange systems,
    predictive welfare targeting, AI agriculture platforms,
    satellite-based insurance, misinformation detection.
  FRONTIER_WATCH:
    advanced carbon removal, fusion energy, autonomous clinics,
    general-purpose robotics, synthetic biology food systems,
    geoengineering, fully AI-run public administration.
PLANETOS.LAW:
  Technology must become repair architecture.
  Otherwise it is only speed.
FINAL.VERDICT:
  The strongest 2026-onward repair path is the stacking of practical technologies
  into ordinary life: energy, water, food, health, learning, connectivity, trust,
  climate adaptation, finance, and local capability.

DECAYING STATE
The floor still works, but quality, trust, access, maintenance, or resilience is weakening.
COLLAPSING STATE
The corridor still exists, but it is failing under pressure and people are being forced into fewer, narrower, more dangerous paths.
COLLAPSED STATE
The room or corridor no longer performs its civilisational function. People must exit, improvise, migrate, depend on aid, or lose the opportunity entirely.

children
food
water
health
education
energy
housing
safety
trust
finance
infrastructure
PlanetOS / Earth systems
technology access
local repair capacity

child → school → literacy → skill → job → stable life
farmer → rainfall → crop → market → income → food security
patient → clinic → diagnosis → treatment → recovery
family → home → safety → routine → education → future planning
citizen → trusted information → public action → repair

destroyed school
flooded home
failed clinic
contaminated river
burnt forest
collapsed road

lost trust
broken family stability
school dropout
child trauma
lost language
lost local economy

dead coral reef
eroded soil
lost wetlands
deforested watershed
heat-unsafe city district

bankrupt service
corrupt procurement system
collapsed aid corridor
untrusted election system
failed public health response

adult neglect now
→ burnt room
→ missing future option
→ narrower inheritance floor

maintenance delayed
prices rising
trust declining
staff overloaded
learning outcomes falling
queues lengthening
water quality worsening
heat exposure increasing
debt rising
repair budgets shrinking

frequent service failure
families forced into emergency choices
aid replacing normal systems
children dropping out
migration increasing
violence rising
food substitutions worsening
clinics overwhelmed
schools disrupted
insurance retreating
local economies hollowing

forced displacement
permanent school loss
famine conditions
public health breakdown
law-and-order failure
mass unemployment
institutional non-function
ecological non-recovery
aid dependence replacing normal civic systems

CORRIDOR STATUS =
  access
+ safety
+ affordability
+ trust
+ continuity
+ repair capacity
- pressure load

normal route
→ delayed route
→ expensive route
→ unsafe route
→ emergency route
→ no route

damage
→ denial
→ underfunding
→ delayed repair
→ overloaded families
→ forced adaptation
→ corridor loss
→ burnt room

early signal
→ honest diagnosis
→ targeted funding
→ local repair crew
→ institutional trust
→ restored corridor
→ widened room

missed learning
→ weak literacy/numeracy
→ weak confidence
→ weak employability
→ lower repair capacity

food insecurity
→ malnutrition
→ lower learning energy
→ health burden
→ future capability loss

no trust
→ no coordination
→ no shared reality
→ no repair

It is still working.
It has always been like this.
We can wait.
There are bigger problems.
The system will cope.

small repair delay
→ higher future repair cost
→ lower public trust
→ weaker maintenance
→ more expensive repair
→ collapse risk

education debt
health debt
climate debt
trust debt
infrastructure debt
childhood debt
PlanetOS debt

temporary shelters become permanent homes
emergency food aid becomes normal food access
school catch-up becomes permanent learning gap management
water rationing becomes normal policy
extreme heat closure becomes annual calendar
medical waiting lists become structural
misinformation response becomes permanent crisis management

officially there is a school
but children cannot safely attend
officially there is a clinic
but medicine is unavailable
officially there is a road
but floods cut it every season
officially there is public trust
but people no longer believe institutions
officially there is development
but children inherit fewer choices

P3 — Stable Floor
The corridor works, repair capacity exceeds damage pressure.
P2 — Strained Floor
The corridor works, but buffers are shrinking.
P1 — Decaying Floor
The corridor works unevenly; maintenance debt is rising.
P0.7 — Collapsing Floor
The corridor is still visible but failing under load.
P0.3 — Collapsed Floor
The corridor no longer performs its function.
P0.0 — Burnt Room
The option is gone for the people who needed it.

BASE FLOOR FAILURE =
  pressure load
+ maintenance debt
+ trust loss
+ funding gap
+ ecological stress
+ coordination failure
- repair capacity

1. More children missing school or learning less.
2. More households cutting food quality.
3. More communities dependent on emergency aid.
4. More climate events disrupting schools, clinics, roads, farms, and power.
5. More people displaced or unable to return.
6. More public services present in name but weak in function.
7. More repair budgets diverted to debt service or crisis response.
8. More misinformation reducing public cooperation.
9. More local ecosystems losing recovery capacity.
10. More young people seeing fewer future pathways than the previous generation.

best action:
  maintenance
  diagnostics
  funding
  training
  early intervention
  trust repair
  local capacity building

stop decay before it becomes emergency

best action:
  emergency support
  targeted logistics
  protection of children
  continuity services
  temporary bridges
  funding surge
  trusted communication

keep people moving through the corridor safely

best action:
  protect lives
  rebuild core service
  create alternate corridors
  restore documents/trust/access
  long-term reconstruction
  trauma repair
  ecological restoration where possible

restore usable floor space or create a new safe route

burnt school room
→ weaker learning path
burnt food room
→ weaker health path
burnt trust room
→ weaker civic path
burnt climate room
→ weaker settlement path
burnt family room
→ weaker emotional path

technology improves
but access remains unequal
data improves
but trust weakens
climate knowledge improves
but climate damage accelerates
education tools improve
but learning disruption continues
wealth exists
but repair funding misses the weakest floors

STATUS:
  MULTIPLE BASE FLOORS WEAKENING
PRIMARY CONDITION:
  Decay is widespread.
  Corridor collapse is visible in vulnerable zones.
  Collapsed states already exist in conflict, displacement, extreme poverty,
  climate-exposed, and institutionally weakened areas.
MAIN RISK:
  Burnt rooms become normalised.
  Future generations inherit missing options as if they were natural limits.
MAIN WARNING:
  A civilisation can look advanced at the top while burning rooms below.
MAIN REPAIR PRINCIPLE:
  Detect decay early.
  Stabilise collapsing corridors.
  Rebuild collapsed rooms.
  Prevent burnt rooms from becoming the inheritance floor.
CHILD INHERITANCE READING:
  Every base-floor failure is also a future-path failure.
  Children inherit the real corridor map, not the adult promise map.
FINAL PLANETOS READING:
  Civilisation must stop measuring only height.
  It must measure floor safety, corridor width, room availability,
  repair speed, and whether the next generation receives more or fewer options.

REPORT.ID:
  EKSG.PR.ANNUAL.2026.PART02C.WEAKENING.BASEFLOORS.v1.0
PUBLIC.TITLE:
  Weakening Base Floors in 2026: Collapsing Corridors and Burnt Rooms
CORE.DEFINITION:
  Weakening base floors are civilisation support layers whose access, quality,
  trust, safety, resilience, or repair capacity is declining faster than society
  can maintain or restore them.
BASE.FLOOR:
  A load-bearing civilisation layer required for life, learning, trust,
  repair, continuity, and future inheritance.
CORRIDOR:
  A usable pathway from present need to future stability.
BURNT.ROOM:
  A lost future option.
  It may be physical, social, ecological, institutional, educational,
  economic, or trust-based.
NEGATIVE.STATES:
  DECAYING:
    Floor still works, but quality/trust/access/maintenance/resilience is weakening.
    Cheapest stage to repair.
  COLLAPSING:
    Corridor still exists, but is failing under pressure.
    Ordinary life is forced into emergency routing.
  COLLAPSED:
    Room or corridor no longer performs its civilisational function.
    People must exit, improvise, migrate, depend on aid, or lose the option.
STATE.LADDER:
  P3_STABLE_FLOOR:
    Repair capacity exceeds damage pressure.
  P2_STRAINED_FLOOR:
    Corridor works but buffers shrink.
  P1_DECAYING_FLOOR:
    Corridor works unevenly; maintenance debt rises.
  P0_7_COLLAPSING_FLOOR:
    Corridor visible but failing under load.
  P0_3_COLLAPSED_FLOOR:
    Corridor no longer performs function.
  P0_0_BURNT_ROOM:
    Option gone for the people who needed it.
FAILURE.FORMULA:
  BASE_FLOOR_FAILURE =
    pressure_load
  + maintenance_debt
  + trust_loss
  + funding_gap
  + ecological_stress
  + coordination_failure
  - repair_capacity
BURN.ROUTE:
  damage
  -> denial
  -> underfunding
  -> delayed repair
  -> overloaded families
  -> forced adaptation
  -> corridor loss
  -> burnt room
REPAIR.ROUTE:
  early signal
  -> honest diagnosis
  -> targeted funding
  -> local repair crew
  -> institutional trust
  -> restored corridor
  -> widened room
EARLY.WARNING.INDICATORS:
  children missing school
  food quality cuts
  aid dependence
  climate disruption to schools/clinics/roads/farms/power
  rising displacement
  services present in name but weak in function
  repair budgets diverted
  misinformation reducing cooperation
  ecosystems losing recovery capacity
  young people seeing fewer future pathways
CHILD.INHERITANCE.LAW:
  Burnt rooms become missing future options.
  Children inherit the real corridor map, not the adult promise map.
FINAL.VERDICT:
  Civilisation must stop measuring only height.
  It must measure floor safety, corridor width, room availability,
  repair speed, and whether the next generation receives more or fewer options.

90–100  Strong / Widening Floor
75–89   Stable but Pressured Floor
60–74   Strained / Decaying Floor
40–59   Collapsing Corridor
20–39   Collapsed Corridor in Many Zones
0–19    Burnt Room / Function Lost

P3      Stable Floor
P2      Strained Floor
P1      Decaying Floor
P0.7    Collapsing Corridor
P0.3    Collapsed Corridor
P0.0    Burnt Room

GLOBAL CONDITION:
  Strained / Decaying, with visible collapsing corridors.
MAIN RISK:
  Burnt rooms become normalised as “unfortunate reality.”
MAIN OPPORTUNITY:
  Most floors are still repairable if solutions are stacked into ordinary life.

CHILD FLOOR STATUS:
  visible institutions exist
  but poverty, food stress, climate disruption, conflict, and weak schooling
  are narrowing the future path for many children.

child poverty
missed meals
school disruption
family instability
unsafe migration
learning loss
mental stress
weak protection systems

lost childhood
lost learning years
malnutrition damage
trauma
early labour
forced displacement
future capability loss

1. Universal child floor package:
   nutrition + healthcare + school access + safety + identity + digital access.
2. School meal systems:
   protect food floor and education floor together.
3. Climate-safe schools:
   cooling, flood protection, backup power, water, emergency closure protocols.
4. Child-first public finance:
   protect children during debt pressure, austerity, crisis, and climate shocks.
5. Early-warning child dashboard:
   track attendance, nutrition, displacement, violence, learning gaps, and heat exposure.

REPAIR PRIORITY:
  Protect the child floor first because children become the future repair crew.

FOOD FLOOR STATUS:
  enough global food capacity exists,
  but access, affordability, conflict exposure, climate shocks, and household poverty
  create unstable corridors.

food price spikes
lower diet quality
skipped meals
farmer debt
crop loss
fertilizer pressure
supply-chain disruption
school hunger

malnutrition
stunted learning
lost farm livelihoods
famine corridors
aid dependency
rural collapse

1. Climate-smart agriculture:
   drought-resistant seeds, resilient crops, soil repair, farmer training.
2. Solar cold chains:
   reduce food loss from farm to market.
3. Precision water and irrigation:
   protect crops under climate volatility.
4. School meals:
   convert food support into education support.
5. Local food buffers:
   regional storage, emergency grain systems, diversified supply chains.
6. Farmer data platforms:
   weather, pest alerts, market prices, input planning, insurance access.

REPAIR PRIORITY:
  Food systems must become climate-resilient, child-linked, and locally buffered.

WASH + HEALTH FLOOR STATUS:
  strong global knowledge exists,
  but service inequality, crisis zones, climate stress, and weak local systems
  leave many corridors fragile.

unsafe water
toilet gaps
clinic overload
medicine shortages
heat-health risk
disease outbreaks
weak local surveillance
health worker burnout

preventable deaths
missed school from illness
medical debt
lost productivity
public health breakdown
unsafe settlements

1. Smart water systems:
   leak detection, water-quality sensors, groundwater monitoring.
2. Wastewater recycling:
   especially for water-stressed cities and agriculture.
3. Solar-powered water pumps:
   merge energy floor and water floor.
4. Health AI under supervision:
   triage, translation, imaging support, admin reduction.
5. Community health workers:
   local repair crews for prevention, vaccination, maternal care, child monitoring.
6. Heat-health protocols:
   cooling centres, school heat rules, worker protection, elderly checks.

REPAIR PRIORITY:
  Treat water and health as one life-support corridor, not separate departments.

EDUCATION FLOOR STATUS:
  schools exist,
  but the learning corridor is increasingly disrupted by climate, poverty,
  conflict, digital inequality, teacher overload, and hidden learning gaps.

attendance without learning
teacher burnout
weak literacy/numeracy
climate school closures
digital divide
family stress
exam pressure without understanding

lost learning years
dropout
weak confidence
poor employability
intergenerational poverty
lost future operators

1. Learning repair diagnostics:
   identify missing foundations early.
2. AI-assisted tutors:
   support practice, feedback, translation, and learning-gap detection.
3. Teacher intelligence dashboards:
   help teachers see where the class is breaking.
4. Climate-resilient schools:
   cooling, backup power, flood protection, safe water, hybrid continuity.
5. MicroEducation + MacroEducation split:
   MacroEd provides national floor;
   MicroEd repairs individual route failure.
6. Parent support systems:
   help families understand learning gaps before crisis.

REPAIR PRIORITY:
  Stop measuring only school presence. Measure learning transfer, route repair,
  and whether the child can actually move to the next floor.

ENERGY FLOOR STATUS:
  technology is improving fast,
  but unequal access still blocks education, health, business, water, and digital corridors.

outages
high fuel cost
diesel dependency
unsafe cooking
weak clinic refrigeration
no evening study
poor connectivity

dark schools
failed clinics
isolated communities
lost enterprise
higher indoor air pollution
digital exclusion

1. Solar + batteries + mini-grids:
   local power for schools, clinics, water pumps, homes, and businesses.
2. Clean cooking:
   LPG where transitional, electric cooking where grids allow, biogas where suitable.
3. Energy-for-schools package:
   solar, battery, connectivity, devices, maintenance crew.
4. Energy-for-clinics package:
   refrigeration, lighting, diagnostic equipment, communications.
5. Maintenance economy:
   train local technicians so systems do not become dead infrastructure.

REPAIR PRIORITY:
  Energy is the multiplier floor. Power schools and clinics first.

PLANETOS FLOOR STATUS:
  Earth systems are no longer background conditions.
  They are active pressure systems entering food, water, health, schools,
  insurance, migration, housing, and public finance.

heat records
flood disruption
drought
biodiversity loss
soil degradation
water stress
coastal exposure
insurance retreat
school climate closures

uninhabitable heat zones
lost farmland
dead reefs
destroyed wetlands
abandoned homes
collapsed ecosystems
climate-displaced communities

1. Adaptation-first infrastructure:
   drainage, heat protection, floodable parks, coastal buffers.
2. Nature-based repair:
   forests, wetlands, mangroves, watersheds, soil carbon, biodiversity corridors.
3. Heat-safe cities:
   cool roofs, trees, shaded routes, district cooling, school cooling.
4. Disaster early warning:
   weather alerts, flood models, evacuation routes, school closure systems.
5. Climate-smart agriculture:
   protect food floor under new weather conditions.
6. PlanetOS accounting:
   treat ecosystems as civilisation infrastructure, not scenery.

REPAIR PRIORITY:
  PlanetOS is the floor beneath all floors. If Earth corridors collapse,
  human corridors pay the cost.

SAFETY FLOOR STATUS:
  normal life corridors have collapsed for very large populations.
  Displacement is not movement only; it is forced removal from the floor plan.

conflict pressure
aid dependency
unsafe routes
lost documents
school interruption
host-community strain
family separation
livelihood loss

lost homes
lost schools
lost identity records
lost local economies
lost safety
lost civic belonging
lost childhood normality

1. Protection-first humanitarian corridors:
   food, water, documents, schooling, health, shelter, legal status.
2. Education continuity in displacement:
   portable schooling, digital records, language support, host-school integration.
3. Local host-community support:
   fund both displaced families and host systems.
4. Digital identity recovery:
   restore documents, school records, health records, and benefit access.
5. Diplomacy and conflict prevention:
   highest-return repair is preventing displacement before it happens.

REPAIR PRIORITY:
  Displacement repair must rebuild route continuity, not only provide temporary shelter.

TRUST FLOOR STATUS:
  information is abundant,
  but accepted reality is unstable.
  Societies can have data and still fail to coordinate repair.

misinformation
low institutional trust
conflicting narratives
public confusion
weak compliance
polarisation
fraud
AI-generated distortion

reality debt
failed public health response
election distrust
climate denial
aid rejection
social fragmentation
repair instructions ignored

1. Reality Ledger:
   record what was believed, when, by whom, on what evidence, and with what outcome.
2. Source provenance:
   track origin, chain-of-custody, and evidence quality.
3. Public evidence pages:
   make important claims auditable.
4. AI output auditing:
   label uncertainty, source quality, assumptions, and hallucination risk.
5. Media literacy:
   teach children and adults how signals become accepted reality.
6. Trusted local messengers:
   pair national information with community-level trust.

REPAIR PRIORITY:
  Trust is the invisible load-bearing beam. Without it, even good solutions fail.

FINANCE FLOOR STATUS:
  money exists globally,
  but repair fuel is unevenly distributed and often delayed by debt, politics,
  weak institutions, corruption, risk pricing, and short-term incentives.

debt service pressure
underfunded schools
underfunded clinics
aid shortfalls
infrastructure backlog
climate adaptation gap
insurance withdrawal
household debt stress

unrepaired infrastructure
closed services
teacher shortages
medicine shortages
climate vulnerability
lost public trust
future repair debt

1. Child-first and base-floor budgeting:
   protect children, water, health, education, food, and climate adaptation.
2. Transparent repair ledgers:
   show where money went and what floor it repaired.
3. Parametric insurance:
   automatic payouts after drought, flood, cyclone, or heat thresholds.
4. Climate and resilience bonds:
   fund adaptation and infrastructure repair.
5. Digital payments:
   deliver support quickly during shocks.
6. Debt-service relief linked to base-floor repair:
   convert repayment pressure into education, health, water, and climate resilience.

REPAIR PRIORITY:
  Finance must become repair fuel, not only accounting.

TECH FLOOR STATUS:
  strong upward potential,
  but unequal access, weak governance, misinformation, cyber risk,
  and AI misuse can convert widening into burn-route acceleration.

digital divide
AI cheating
misinformation scale
cybercrime
platform dependency
weak child protection
surveillance risk
automation without retraining

excluded children
manipulated reality
lost privacy
job displacement without transition
AI dependency
digital fraud
untrusted public systems

1. AI as repair tool:
   education diagnostics, health triage, translation, public-service support.
2. Digital public infrastructure:
   identity, payments, data exchange, rights protection, appeal systems.
3. Connectivity for schools and clinics:
   not luxury internet — base-floor internet.
4. Child-safe AI and internet rules:
   protect children while widening learning access.
5. Open learning infrastructure:
   high-quality content available beyond wealthy households.
6. Cyber-resilience:
   protect hospitals, schools, grids, banks, and public records.

REPAIR PRIORITY:
  Technology must become repair architecture. Otherwise it is only speed.

LOCAL REPAIR STATUS:
  tools exist,
  but local crews, local trust, local funding, local maintenance,
  and local decision systems are not strong enough everywhere.

broken equipment
no technicians
weak procurement
corruption
poor data
slow response
aid dependency
short political cycles
maintenance neglect

dead infrastructure
failed clinics
unused technology
abandoned schools
unmaintained water systems
lost confidence

1. Local technician corps:
   energy, water, connectivity, devices, health equipment.
2. Community repair budgets:
   small fast funds for local maintenance before failure.
3. Open dashboards:
   show which floors are decaying, collapsing, or repaired.
4. Local procurement transparency:
   reduce leakage and improve trust.
5. Skills pipeline:
   train youth as the next repair crew.
6. Maintenance-first culture:
   repair early before rebuilding becomes expensive.

REPAIR PRIORITY:
  A civilisation is not repaired by tools alone. It is repaired by people who can operate, maintain, trust, and improve those tools.

1. Safety / Displacement
2. PlanetOS / Climate-Earth Systems
3. Education / Learning Transfer
4. Children / Human Continuity
5. Food / Nutrition

FUNCTION:
  Prevent more rooms from burning.
ACTIONS:
  school meals
  emergency water
  health access
  displacement protection
  heat shelters
  early warning alerts
  emergency cash transfers
  child protection

FUNCTION:
  Keep people moving through life routes.
ACTIONS:
  climate-safe schools
  mobile clinics
  solar mini-grids
  local food buffers
  bridge schooling
  public trust communication
  transport and logistics repair

FUNCTION:
  Restore lost function.
ACTIONS:
  rebuild schools
  restore records
  repair water systems
  reconstruct clinics
  rehabilitate land
  rebuild homes
  restart local economies

FUNCTION:
  Give the next generation more options than the previous one.
ACTIONS:
  AI-supported education
  universal energy access
  digital public infrastructure
  climate-smart agriculture
  resilient housing
  circular economy
  youth repair corps
  PlanetOS accounting

BASE FLOOR SCORE =
  access
+ quality
+ affordability
+ trust
+ continuity
+ resilience
+ repair capacity
- pressure load
- inequality
- maintenance debt
- ecological stress

REPAIR PRIORITY =
  child impact
+ number of dependent floors
+ collapse speed
+ repair feasibility
+ future inheritance value

BURN RISK =
  pressure load
+ delay
+ denial
+ weak trust
+ funding gap
+ no local repair crew

OVERALL SCORE:
  58 / 100
GLOBAL STATE:
  Strained / decaying, with visible collapsing corridors.
HIGHEST-RISK FLOORS:
  Safety and displacement.
  PlanetOS / Earth systems.
  Education and learning transfer.
  Children and human continuity.
  Food and nutrition.
MOST REPAIRABLE FLOORS:
  Energy access.
  Technology and digital access.
  Local repair capacity.
  Education diagnostics.
  Water and health systems.
MAIN WARNING:
  The top floors of civilisation can look advanced while the base floors weaken.
MAIN SOLUTION:
  Stack repair technologies into ordinary life:
    energy
    water
    food
    health
    education
    trust
    climate resilience
    digital access
    finance
    local repair crews
CHILD INHERITANCE READING:
  Every burnt room is a missing future option.
  Every repaired corridor is a widened future floor.
FINAL PLANETOS VERDICT:
  Civilisation must stop measuring only height.
  It must measure whether the next generation inherits more usable floor space,
  safer corridors, stronger repair systems, and fewer burnt rooms.

REPORT.ID:
  EKSG.PR.ANNUAL.2026.PART02D.SCORING.REPAIR.BASEFLOORS.v1.0
TITLE:
  Base-Floor Scoring, Collapse States, and Repair Solutions
OVERALL.SCORE:
  58/100
OVERALL.STATE:
  STRAINED_DECAYING_WITH_VISIBLE_COLLAPSING_CORRIDORS
SCORING.RUBRIC:
  90_100: STRONG_WIDENING_FLOOR
  75_89: STABLE_PRESSURED_FLOOR
  60_74: STRAINED_DECAYING_FLOOR
  40_59: COLLAPSING_CORRIDOR
  20_39: COLLAPSED_CORRIDOR
  0_19: BURNT_ROOM
BASE.FLOOR.SCORES:
  CHILDREN_HUMAN_CONTINUITY: 58
  FOOD_NUTRITION: 61
  WATER_SANITATION_HEALTH: 64
  EDUCATION_LEARNING_TRANSFER: 57
  ENERGY_INFRASTRUCTURE: 66
  PLANETOS_EARTH_SYSTEMS: 49
  SAFETY_PEACE_DISPLACEMENT: 42
  TRUST_INFORMATION_ACCEPTED_REALITY: 55
  FINANCE_DEBT_REPAIR_CAPACITY: 59
  TECHNOLOGY_DIGITAL_ACCESS: 70
  LOCAL_REPAIR_CAPACITY: 60
HIGHEST.COLLAPSE.RISK:
  1_SAFETY_DISPLACEMENT
  2_PLANETOS_EARTH_SYSTEMS
  3_EDUCATION_LEARNING_TRANSFER
  4_CHILDREN_HUMAN_CONTINUITY
  5_FOOD_NUTRITION
CORE.REPAIR.STACK:
  STOP_BLEEDING:
    emergency food, water, health, shelter, child protection, heat safety,
    emergency cash, displacement protection
  STABILISE_CORRIDORS:
    climate-safe schools, mobile clinics, solar mini-grids, local food buffers,
    bridge schooling, trusted communication, logistics repair
  REBUILD_ROOMS:
    rebuild schools, restore records, repair water systems, reconstruct clinics,
    rehabilitate land, rebuild homes, restart local economies
  WIDEN_FUTURE_FLOORS:
    AI-supported education, universal energy access, digital public infrastructure,
    climate-smart agriculture, resilient housing, circular economy,
    youth repair corps, PlanetOS accounting
CONTROL.FORMULA:
  BASE_FLOOR_SCORE =
    access
  + quality
  + affordability
  + trust
  + continuity
  + resilience
  + repair_capacity
  - pressure_load
  - inequality
  - maintenance_debt
  - ecological_stress
PLANETOS.LAW:
  A solution only counts as civilisation-grade when it widens usable floor space
  for ordinary people and remains repairable by the communities that depend on it.
FINAL.VERDICT:
  Every burnt room is a missing future option.
  Every repaired corridor is a widened future floor.

PURPOSE:
  Convert civilisation signals into scored base-floor states.
INPUT:
  Data signals about children, food, water, health, education, energy,
  PlanetOS, safety, trust, finance, technology, and local repair capacity.
OUTPUT:
  1. Base-floor score out of 100.
  2. Phase/state label.
  3. Corridor status.
  4. Burnt-room risk.
  5. Repair priority.
  6. Recommended repair stack.

CIVILISATION = stacked building through time.
BASE_FLOOR = load-bearing civilisation layer.
CORRIDOR = route from present need to future stability.
BURNT_ROOM = lost future option.
REPAIR_CAPACITY = ability to maintain, restore, stabilise, or widen a floor.
PRESSURE_LOAD = combined stress acting on a floor.
BASE_FLOOR_SCORE =
  strength signals
  - weakness signals
  + repair signals
  - pressure signals

SCORE_SCALE:
  90–100 = P3_STRONG_WIDENING_FLOOR
  75–89  = P2_STABLE_BUT_PRESSURED_FLOOR
  60–74  = P1_STRAINED_DECAYING_FLOOR
  40–59  = P0_7_COLLAPSING_CORRIDOR
  20–39  = P0_3_COLLAPSED_CORRIDOR_IN_MANY_ZONES
  0–19   = P0_0_BURNT_ROOM_FUNCTION_LOST

0   = absent / failed / extreme negative
50  = mixed / unstable / partial
100 = strong / universal / resilient

ACCESS:
  How many people can reach the floor?
QUALITY:
  How well does the floor perform?
AFFORDABILITY:
  Can ordinary people afford to use it?
CONTINUITY:
  Does it keep working through shocks?
TRUST:
  Do people believe and use the system?
RESILIENCE:
  Can it absorb stress and continue?
REPAIR_CAPACITY:
  Can it be maintained, restored, or improved?
LOCAL_CAPABILITY:
  Can local communities operate and repair it?

PRESSURE_LOAD:
  How much stress is acting on the floor?
INEQUALITY:
  How unevenly is the floor distributed?
MAINTENANCE_DEBT:
  How much delayed repair has accumulated?
ECOLOGICAL_STRESS:
  How much PlanetOS / climate / environmental pressure affects it?
SHOCK_EXPOSURE:
  How exposed is it to war, disaster, inflation, displacement, crisis, or disease?
TRUST_LOSS:
  How much public trust is being lost?
FUNDING_GAP:
  How much money is missing for repair?
DATA_UNCERTAINTY:
  How weak or uncertain is the evidence?

BASE_FLOOR_SCORE =
  (
    ACCESS * 0.12
  + QUALITY * 0.12
  + AFFORDABILITY * 0.08
  + CONTINUITY * 0.10
  + TRUST * 0.08
  + RESILIENCE * 0.10
  + REPAIR_CAPACITY * 0.14
  + LOCAL_CAPABILITY * 0.08
  )
  -
  (
    PRESSURE_LOAD * 0.08
  + INEQUALITY * 0.07
  + MAINTENANCE_DEBT * 0.06
  + ECOLOGICAL_STRESS * 0.05
  + SHOCK_EXPOSURE * 0.05
  + TRUST_LOSS * 0.03
  + FUNDING_GAP * 0.03
  )
  + 30

IF BASE_FLOOR_SCORE > 100:
  BASE_FLOOR_SCORE = 100
IF BASE_FLOOR_SCORE < 0:
  BASE_FLOOR_SCORE = 0

def clamp(value, minimum=0, maximum=100):
    return max(minimum, min(maximum, value))
def calculate_base_floor_score(
    access,
    quality,
    affordability,
    continuity,
    trust,
    resilience,
    repair_capacity,
    local_capability,
    pressure_load,
    inequality,
    maintenance_debt,
    ecological_stress,
    shock_exposure,
    trust_loss,
    funding_gap
):
    positive_score = (
        access * 0.12
        + quality * 0.12
        + affordability * 0.08
        + continuity * 0.10
        + trust * 0.08
        + resilience * 0.10
        + repair_capacity * 0.14
        + local_capability * 0.08
    )
    negative_score = (
        pressure_load * 0.08
        + inequality * 0.07
        + maintenance_debt * 0.06
        + ecological_stress * 0.05
        + shock_exposure * 0.05
        + trust_loss * 0.03
        + funding_gap * 0.03
    )
    raw_score = positive_score - negative_score + 30
    return clamp(round(raw_score, 1))

def classify_floor_state(score):
    if score >= 90:
        return {
            "phase": "P3",
            "state": "STRONG_WIDENING_FLOOR",
            "meaning": "The floor is strong and likely widening future options."
        }
    if score >= 75:
        return {
            "phase": "P2",
            "state": "STABLE_BUT_PRESSURED_FLOOR",
            "meaning": "The floor works, but pressure is visible."
        }
    if score >= 60:
        return {
            "phase": "P1",
            "state": "STRAINED_DECAYING_FLOOR",
            "meaning": "The floor still works, but decay signals are present."
        }
    if score >= 40:
        return {
            "phase": "P0.7",
            "state": "COLLAPSING_CORRIDOR",
            "meaning": "The corridor still exists, but it is failing under load."
        }
    if score >= 20:
        return {
            "phase": "P0.3",
            "state": "COLLAPSED_CORRIDOR_IN_MANY_ZONES",
            "meaning": "The floor no longer performs reliably in many zones."
        }
    return {
        "phase": "P0.0",
        "state": "BURNT_ROOM_FUNCTION_LOST",
        "meaning": "The option is functionally gone for those who needed it."
    }

BURNT_ROOM_RISK =
  pressure_load
+ maintenance_debt
+ shock_exposure
+ ecological_stress
+ inequality
+ funding_gap
+ trust_loss
- repair_capacity
- local_capability
- continuity

def calculate_burnt_room_risk(
    pressure_load,
    maintenance_debt,
    shock_exposure,
    ecological_stress,
    inequality,
    funding_gap,
    trust_loss,
    repair_capacity,
    local_capability,
    continuity
):
    risk = (
        pressure_load * 0.16
        + maintenance_debt * 0.13
        + shock_exposure * 0.13
        + ecological_stress * 0.12
        + inequality * 0.12
        + funding_gap * 0.10
        + trust_loss * 0.08
        - repair_capacity * 0.10
        - local_capability * 0.08
        - continuity * 0.08
        + 30
    )
    return clamp(round(risk, 1))

def classify_burnt_room_risk(risk):
    if risk >= 80:
        return "EXTREME_BURNT_ROOM_RISK"
    if risk >= 65:
        return "HIGH_BURNT_ROOM_RISK"
    if risk >= 50:
        return "MODERATE_BURNT_ROOM_RISK"
    if risk >= 35:
        return "LOW_TO_MODERATE_BURNT_ROOM_RISK"
    return "LOW_BURNT_ROOM_RISK"

CORRIDOR_WIDTH =
  access
+ affordability
+ continuity
+ trust
+ resilience
+ repair_capacity
- inequality
- pressure_load
- shock_exposure

def calculate_corridor_width(
    access,
    affordability,
    continuity,
    trust,
    resilience,
    repair_capacity,
    inequality,
    pressure_load,
    shock_exposure
):
    width = (
        access * 0.16
        + affordability * 0.13
        + continuity * 0.15
        + trust * 0.12
        + resilience * 0.14
        + repair_capacity * 0.15
        - inequality * 0.06
        - pressure_load * 0.05
        - shock_exposure * 0.04
        + 20
    )
    return clamp(round(width, 1))

def classify_corridor_width(width):
    if width >= 80:
        return "WIDE_CORRIDOR"
    if width >= 65:
        return "USABLE_CORRIDOR"
    if width >= 50:
        return "NARROWING_CORRIDOR"
    if width >= 35:
        return "COLLAPSING_CORRIDOR"
    return "NO_SAFE_CORRIDOR"

REPAIR_PRIORITY =
  child_impact
+ dependent_floors
+ collapse_speed
+ burnt_room_risk
+ feasibility
+ inheritance_value

def calculate_repair_priority(
    child_impact,
    dependent_floors,
    collapse_speed,
    burnt_room_risk,
    feasibility,
    inheritance_value
):
    priority = (
        child_impact * 0.22
        + dependent_floors * 0.18
        + collapse_speed * 0.17
        + burnt_room_risk * 0.18
        + feasibility * 0.10
        + inheritance_value * 0.15
    )
    return clamp(round(priority, 1))

def classify_repair_priority(priority):
    if priority >= 85:
        return "IMMEDIATE_REPAIR_PRIORITY"
    if priority >= 70:
        return "HIGH_REPAIR_PRIORITY"
    if priority >= 55:
        return "MEDIUM_REPAIR_PRIORITY"
    if priority >= 40:
        return "WATCH_AND_PREVENT_DECAY"
    return "LOWER_PRIORITY_OR_STABLE"

def select_repair_stack(score, burnt_room_risk, corridor_width):
    if score < 20 or corridor_width < 35:
        return [
            "PROTECT_LIVES",
            "RESTORE_MINIMUM_FUNCTION",
            "CREATE_ALTERNATE_CORRIDOR",
            "REBUILD_ROOM",
            "RESTORE_RECORDS_AND_ACCESS",
            "LONG_TERM_RECONSTRUCTION"
        ]
    if score < 40 or burnt_room_risk >= 80:
        return [
            "EMERGENCY_STABILISATION",
            "HUMANITARIAN_SUPPORT",
            "TEMPORARY_BRIDGE_SERVICES",
            "CORRIDOR_REROUTING",
            "FUNDING_SURGE",
            "TRUSTED_LOCAL_COMMUNICATION"
        ]
    if score < 60 or burnt_room_risk >= 65:
        return [
            "STOP_BLEEDING",
            "STABILISE_CORRIDOR",
            "TARGETED_REPAIR",
            "LOCAL_REPAIR_CREW",
            "SERVICE_CONTINUITY",
            "EARLY_WARNING"
        ]
    if score < 75:
        return [
            "PREVENT_DECAY",
            "MAINTENANCE_REPAIR",
            "CAPACITY_BUILDING",
            "AFFORDABILITY_SUPPORT",
            "QUALITY_IMPROVEMENT",
            "LOCAL_RESILIENCE"
        ]
    return [
        "WIDEN_FUTURE_FLOOR",
        "SCALE_BEST_PRACTICES",
        "BUILD_BUFFERS",
        "EXPORT_REPAIR_KNOWLEDGE",
        "LONG_TERM_RESILIENCE"
    ]

base_floor = {
    "name": "EDUCATION_LEARNING_TRANSFER",
    "inputs": {
        "access": 75,
        "quality": 55,
        "affordability": 65,
        "continuity": 50,
        "trust": 62,
        "resilience": 48,
        "repair_capacity": 55,
        "local_capability": 58,
        "pressure_load": 72,
        "inequality": 68,
        "maintenance_debt": 62,
        "ecological_stress": 58,
        "shock_exposure": 64,
        "trust_loss": 45,
        "funding_gap": 60
    },
    "inheritance_inputs": {
        "child_impact": 95,
        "dependent_floors": 85,
        "collapse_speed": 70,
        "feasibility": 75,
        "inheritance_value": 95
    }
}

def process_base_floor(base_floor):
    i = base_floor["inputs"]
    score = calculate_base_floor_score(
        access=i["access"],
        quality=i["quality"],
        affordability=i["affordability"],
        continuity=i["continuity"],
        trust=i["trust"],
        resilience=i["resilience"],
        repair_capacity=i["repair_capacity"],
        local_capability=i["local_capability"],
        pressure_load=i["pressure_load"],
        inequality=i["inequality"],
        maintenance_debt=i["maintenance_debt"],
        ecological_stress=i["ecological_stress"],
        shock_exposure=i["shock_exposure"],
        trust_loss=i["trust_loss"],
        funding_gap=i["funding_gap"]
    )
    state = classify_floor_state(score)
    burnt_room_risk = calculate_burnt_room_risk(
        pressure_load=i["pressure_load"],
        maintenance_debt=i["maintenance_debt"],
        shock_exposure=i["shock_exposure"],
        ecological_stress=i["ecological_stress"],
        inequality=i["inequality"],
        funding_gap=i["funding_gap"],
        trust_loss=i["trust_loss"],
        repair_capacity=i["repair_capacity"],
        local_capability=i["local_capability"],
        continuity=i["continuity"]
    )
    burnt_room_class = classify_burnt_room_risk(burnt_room_risk)
    corridor_width = calculate_corridor_width(
        access=i["access"],
        affordability=i["affordability"],
        continuity=i["continuity"],
        trust=i["trust"],
        resilience=i["resilience"],
        repair_capacity=i["repair_capacity"],
        inequality=i["inequality"],
        pressure_load=i["pressure_load"],
        shock_exposure=i["shock_exposure"]
    )
    corridor_class = classify_corridor_width(corridor_width)
    h = base_floor["inheritance_inputs"]
    repair_priority = calculate_repair_priority(
        child_impact=h["child_impact"],
        dependent_floors=h["dependent_floors"],
        collapse_speed=h["collapse_speed"],
        burnt_room_risk=burnt_room_risk,
        feasibility=h["feasibility"],
        inheritance_value=h["inheritance_value"]
    )
    repair_priority_class = classify_repair_priority(repair_priority)
    repair_stack = select_repair_stack(
        score=score,
        burnt_room_risk=burnt_room_risk,
        corridor_width=coridor_width if False else corridor_width
    )
    return {
        "name": base_floor["name"],
        "base_floor_score": score,
        "state": state,
        "burnt_room_risk": burnt_room_risk,
        "burnt_room_class": burnt_room_class,
        "corridor_width": corridor_width,
        "corridor_class": corridor_class,
        "repair_priority": repair_priority,
        "repair_priority_class": repair_priority_class,
        "repair_stack": repair_stack
    }

def process_base_floor(base_floor):
    i = base_floor["inputs"]
    score = calculate_base_floor_score(
        i["access"],
        i["quality"],
        i["affordability"],
        i["continuity"],
        i["trust"],
        i["resilience"],
        i["repair_capacity"],
        i["local_capability"],
        i["pressure_load"],
        i["inequality"],
        i["maintenance_debt"],
        i["ecological_stress"],
        i["shock_exposure"],
        i["trust_loss"],
        i["funding_gap"]
    )
    state = classify_floor_state(score)
    burnt_room_risk = calculate_burnt_room_risk(
        i["pressure_load"],
        i["maintenance_debt"],
        i["shock_exposure"],
        i["ecological_stress"],
        i["inequality"],
        i["funding_gap"],
        i["trust_loss"],
        i["repair_capacity"],
        i["local_capability"],
        i["continuity"]
    )
    burnt_room_class = classify_burnt_room_risk(burnt_room_risk)
    corridor_width = calculate_corridor_width(
        i["access"],
        i["affordability"],
        i["continuity"],
        i["trust"],
        i["resilience"],
        i["repair_capacity"],
        i["inequality"],
        i["pressure_load"],
        i["shock_exposure"]
    )
    corridor_class = classify_corridor_width(corridor_width)
    h = base_floor["inheritance_inputs"]
    repair_priority = calculate_repair_priority(
        h["child_impact"],
        h["dependent_floors"],
        h["collapse_speed"],
        burnt_room_risk,
        h["feasibility"],
        h["inheritance_value"]
    )
    repair_priority_class = classify_repair_priority(repair_priority)
    repair_stack = select_repair_stack(
        score,
        burnt_room_risk,
        corridor_width
    )
    return {
        "name": base_floor["name"],
        "base_floor_score": score,
        "phase": state["phase"],
        "state": state["state"],
        "state_meaning": state["meaning"],
        "burnt_room_risk": burnt_room_risk,
        "burnt_room_class": burnt_room_class,
        "corridor_width": corridor_width,
        "corridor_class": corridor_class,
        "repair_priority": repair_priority,
        "repair_priority_class": repair_priority_class,
        "repair_stack": repair_stack
    }

education_floor = {
    "name": "EDUCATION_LEARNING_TRANSFER",
    "inputs": {
        "access": 75,
        "quality": 55,
        "affordability": 65,
        "continuity": 50,
        "trust": 62,
        "resilience": 48,
        "repair_capacity": 55,
        "local_capability": 58,
        "pressure_load": 72,
        "inequality": 68,
        "maintenance_debt": 62,
        "ecological_stress": 58,
        "shock_exposure": 64,
        "trust_loss": 45,
        "funding_gap": 60
    },
    "inheritance_inputs": {
        "child_impact": 95,
        "dependent_floors": 85,
        "collapse_speed": 70,
        "feasibility": 75,
        "inheritance_value": 95
    }
}
result = process_base_floor(education_floor)
print(result)

{
  "name": "EDUCATION_LEARNING_TRANSFER",
  "base_floor_score": approximately 57,
  "phase": "P0.7",
  "state": "COLLAPSING_CORRIDOR",
  "burnt_room_risk": high,
  "corridor_width": narrowing/collapsing,
  "repair_priority": high/immediate,
  "repair_stack": [
    "STOP_BLEEDING",
    "STABILISE_CORRIDOR",
    "TARGETED_REPAIR",
    "LOCAL_REPAIR_CREW",
    "SERVICE_CONTINUITY",
    "EARLY_WARNING"
  ]
}

base_floors = [
    {
        "name": "CHILDREN_HUMAN_CONTINUITY",
        "inputs": {
            "access": 68,
            "quality": 55,
            "affordability": 52,
            "continuity": 50,
            "trust": 60,
            "resilience": 48,
            "repair_capacity": 55,
            "local_capability": 57,
            "pressure_load": 74,
            "inequality": 72,
            "maintenance_debt": 60,
            "ecological_stress": 55,
            "shock_exposure": 68,
            "trust_loss": 45,
            "funding_gap": 62
        },
        "inheritance_inputs": {
            "child_impact": 100,
            "dependent_floors": 95,
            "collapse_speed": 75,
            "feasibility": 80,
            "inheritance_value": 100
        }
    },
    {
        "name": "FOOD_NUTRITION",
        "inputs": {
            "access": 70,
            "quality": 60,
            "affordability": 52,
            "continuity": 58,
            "trust": 65,
            "resilience": 55,
            "repair_capacity": 60,
            "local_capability": 58,
            "pressure_load": 70,
            "inequality": 68,
            "maintenance_debt": 56,
            "ecological_stress": 70,
            "shock_exposure": 66,
            "trust_loss": 35,
            "funding_gap": 55
        },
        "inheritance_inputs": {
            "child_impact": 90,
            "dependent_floors": 90,
            "collapse_speed": 70,
            "feasibility": 75,
            "inheritance_value": 90
        }
    },
    {
        "name": "WATER_SANITATION_HEALTH",
        "inputs": {
            "access": 72,
            "quality": 63,
            "affordability": 60,
            "continuity": 62,
            "trust": 65,
            "resilience": 58,
            "repair_capacity": 62,
            "local_capability": 60,
            "pressure_load": 65,
            "inequality": 65,
            "maintenance_debt": 58,
            "ecological_stress": 66,
            "shock_exposure": 60,
            "trust_loss": 35,
            "funding_gap": 56
        },
        "inheritance_inputs": {
            "child_impact": 92,
            "dependent_floors": 95,
            "collapse_speed": 65,
            "feasibility": 78,
            "inheritance_value": 92
        }
    },
    {
        "name": "EDUCATION_LEARNING_TRANSFER",
        "inputs": {
            "access": 75,
            "quality": 55,
            "affordability": 65,
            "continuity": 50,
            "trust": 62,
            "resilience": 48,
            "repair_capacity": 55,
            "local_capability": 58,
            "pressure_load": 72,
            "inequality": 68,
            "maintenance_debt": 62,
            "ecological_stress": 58,
            "shock_exposure": 64,
            "trust_loss": 45,
            "funding_gap": 60
        },
        "inheritance_inputs": {
            "child_impact": 95,
            "dependent_floors": 85,
            "collapse_speed": 70,
            "feasibility": 75,
            "inheritance_value": 95
        }
    },
    {
        "name": "ENERGY_INFRASTRUCTURE",
        "inputs": {
            "access": 72,
            "quality": 67,
            "affordability": 60,
            "continuity": 63,
            "trust": 68,
            "resilience": 62,
            "repair_capacity": 68,
            "local_capability": 60,
            "pressure_load": 62,
            "inequality": 65,
            "maintenance_debt": 58,
            "ecological_stress": 55,
            "shock_exposure": 56,
            "trust_loss": 30,
            "funding_gap": 52
        },
        "inheritance_inputs": {
            "child_impact": 80,
            "dependent_floors": 95,
            "collapse_speed": 55,
            "feasibility": 85,
            "inheritance_value": 90
        }
    },
    {
        "name": "PLANETOS_EARTH_SYSTEMS",
        "inputs": {
            "access": 55,
            "quality": 48,
            "affordability": 50,
            "continuity": 42,
            "trust": 58,
            "resilience": 40,
            "repair_capacity": 45,
            "local_capability": 48,
            "pressure_load": 85,
            "inequality": 68,
            "maintenance_debt": 75,
            "ecological_stress": 90,
            "shock_exposure": 80,
            "trust_loss": 42,
            "funding_gap": 70
        },
        "inheritance_inputs": {
            "child_impact": 95,
            "dependent_floors": 100,
            "collapse_speed": 82,
            "feasibility": 60,
            "inheritance_value": 100
        }
    },
    {
        "name": "SAFETY_PEACE_DISPLACEMENT",
        "inputs": {
            "access": 50,
            "quality": 45,
            "affordability": 45,
            "continuity": 38,
            "trust": 48,
            "resilience": 40,
            "repair_capacity": 42,
            "local_capability": 45,
            "pressure_load": 88,
            "inequality": 75,
            "maintenance_debt": 72,
            "ecological_stress": 55,
            "shock_exposure": 90,
            "trust_loss": 60,
            "funding_gap": 72
        },
        "inheritance_inputs": {
            "child_impact": 98,
            "dependent_floors": 95,
            "collapse_speed": 90,
            "feasibility": 55,
            "inheritance_value": 98
        }
    },
    {
        "name": "TRUST_INFORMATION_ACCEPTED_REALITY",
        "inputs": {
            "access": 75,
            "quality": 50,
            "affordability": 75,
            "continuity": 55,
            "trust": 45,
            "resilience": 45,
            "repair_capacity": 50,
            "local_capability": 55,
            "pressure_load": 70,
            "inequality": 55,
            "maintenance_debt": 60,
            "ecological_stress": 35,
            "shock_exposure": 60,
            "trust_loss": 75,
            "funding_gap": 50
        },
        "inheritance_inputs": {
            "child_impact": 80,
            "dependent_floors": 100,
            "collapse_speed": 75,
            "feasibility": 65,
            "inheritance_value": 90
        }
    },
    {
        "name": "FINANCE_DEBT_REPAIR_CAPACITY",
        "inputs": {
            "access": 62,
            "quality": 58,
            "affordability": 50,
            "continuity": 58,
            "trust": 55,
            "resilience": 55,
            "repair_capacity": 60,
            "local_capability": 55,
            "pressure_load": 70,
            "inequality": 72,
            "maintenance_debt": 68,
            "ecological_stress": 55,
            "shock_exposure": 64,
            "trust_loss": 50,
            "funding_gap": 75
        },
        "inheritance_inputs": {
            "child_impact": 82,
            "dependent_floors": 100,
            "collapse_speed": 70,
            "feasibility": 68,
            "inheritance_value": 92
        }
    },
    {
        "name": "TECHNOLOGY_DIGITAL_ACCESS",
        "inputs": {
            "access": 78,
            "quality": 72,
            "affordability": 65,
            "continuity": 68,
            "trust": 58,
            "resilience": 65,
            "repair_capacity": 72,
            "local_capability": 60,
            "pressure_load": 62,
            "inequality": 70,
            "maintenance_debt": 45,
            "ecological_stress": 35,
            "shock_exposure": 58,
            "trust_loss": 60,
            "funding_gap": 45
        },
        "inheritance_inputs": {
            "child_impact": 85,
            "dependent_floors": 90,
            "collapse_speed": 65,
            "feasibility": 85,
            "inheritance_value": 92
        }
    },
    {
        "name": "LOCAL_REPAIR_CAPACITY",
        "inputs": {
            "access": 62,
            "quality": 58,
            "affordability": 58,
            "continuity": 55,
            "trust": 60,
            "resilience": 55,
            "repair_capacity": 60,
            "local_capability": 62,
            "pressure_load": 68,
            "inequality": 65,
            "maintenance_debt": 68,
            "ecological_stress": 55,
            "shock_exposure": 62,
            "trust_loss": 45,
            "funding_gap": 65
        },
        "inheritance_inputs": {
            "child_impact": 78,
            "dependent_floors": 100,
            "collapse_speed": 68,
            "feasibility": 80,
            "inheritance_value": 95
        }
    }
]

def process_all_base_floors(base_floors):
    results = []
    for floor in base_floors:
        result = process_base_floor(floor)
        results.append(result)
    return results
def calculate_global_score(results):
    if not results:
        return 0
    total = sum(item["base_floor_score"] for item in results)
    return round(total / len(results), 1)
def rank_by_repair_priority(results):
    return sorted(
        results,
        key=lambda item: item["repair_priority"],
        reverse=True
    )
def rank_by_burnt_room_risk(results):
    return sorted(
        results,
        key=lambda item: item["burnt_room_risk"],
        reverse=True
    )
def rank_by_lowest_score(results):
    return sorted(
        results,
        key=lambda item: item["base_floor_score"]
    )

def generate_base_floor_report(base_floors):
    results = process_all_base_floors(base_floors)
    global_score = calculate_global_score(results)
    report = {
        "report_id": "EKSG.PR.ALGORITHM.BASEFLOOR.SCORING.REPAIR.v1.0",
        "global_base_floor_score": global_score,
        "global_state": classify_floor_state(global_score),
        "floors": results,
        "highest_repair_priority": rank_by_repair_priority(results),
        "highest_burnt_room_risk": rank_by_burnt_room_risk(results),
        "weakest_floors": rank_by_lowest_score(results)
    }
    return report

def print_human_summary(report):
    print("THE PURPLE REPORT — BASE FLOOR CONTROL TOWER")
    print("GLOBAL SCORE:", report["global_base_floor_score"])
    print("GLOBAL STATE:", report["global_state"]["state"])
    print()
    print("WEAKEST FLOORS:")
    for item in report["weakest_floors"][:5]:
        print(
            "-",
            item["name"],
            "| Score:",
            item["base_floor_score"],
            "| State:",
            item["state"],
            "| Burn Risk:",
            item["burnt_room_class"]
        )
    print()
    print("HIGHEST REPAIR PRIORITIES:")
    for item in report["highest_repair_priority"][:5]:
        print(
            "-",
            item["name"],
            "| Priority:",
            item["repair_priority"],
            "| Action:",
            item["repair_priority_class"]
        )

solution_dictionary = {
    "CHILDREN_HUMAN_CONTINUITY": [
        "universal_child_floor_package",
        "school_meals",
        "child_health_checks",
        "climate_safe_schools",
        "child_protection_systems",
        "family_cash_support",
        "attendance_and_nutrition_dashboard"
    ],
    "FOOD_NUTRITION": [
        "climate_smart_agriculture",
        "solar_cold_chains",
        "local_food_buffers",
        "school_meals",
        "farmer_weather_alerts",
        "precision_irrigation",
        "soil_repair"
    ],
    "WATER_SANITATION_HEALTH": [
        "safe_water_systems",
        "smart_leak_detection",
        "wastewater_recycling",
        "solar_water_pumps",
        "community_health_workers",
        "AI_assisted_triage",
        "heat_health_protocols"
    ],
    "EDUCATION_LEARNING_TRANSFER": [
        "learning_gap_diagnostics",
        "AI_assisted_tutors",
        "teacher_dashboards",
        "climate_resilient_schools",
        "hybrid_learning_continuity",
        "parent_support_systems",
        "MicroEducation_repair_pathways"
    ],
    "ENERGY_INFRASTRUCTURE": [
        "solar_mini_grids",
        "battery_storage",
        "clean_cooking",
        "energy_for_schools",
        "energy_for_clinics",
        "local_technician_corps",
        "maintenance_finance"
    ],
    "PLANETOS_EARTH_SYSTEMS": [
        "nature_based_solutions",
        "watershed_repair",
        "mangrove_and_wetland_restoration",
        "heat_safe_cities",
        "early_warning_systems",
        "climate_adaptation_infrastructure",
        "PlanetOS_accounting"
    ],
    "SAFETY_PEACE_DISPLACEMENT": [
        "protection_corridors",
        "portable_education_records",
        "host_community_support",
        "legal_identity_recovery",
        "safe_shelter",
        "mobile_health_and_schooling",
        "conflict_prevention"
    ],
    "TRUST_INFORMATION_ACCEPTED_REALITY": [
        "Reality_Ledger",
        "source_provenance",
        "public_evidence_pages",
        "AI_output_auditing",
        "media_literacy",
        "trusted_local_messengers",
        "crisis_communication_protocols"
    ],
    "FINANCE_DEBT_REPAIR_CAPACITY": [
        "child_first_budgeting",
        "base_floor_budgeting",
        "transparent_repair_ledgers",
        "parametric_insurance",
        "digital_cash_transfers",
        "climate_resilience_bonds",
        "debt_to_resilience_swaps"
    ],
    "TECHNOLOGY_DIGITAL_ACCESS": [
        "school_connectivity",
        "clinic_connectivity",
        "rights_protecting_DPI",
        "child_safe_AI",
        "open_learning_infrastructure",
        "cyber_resilience",
        "AI_as_repair_tool"
    ],
    "LOCAL_REPAIR_CAPACITY": [
        "local_technician_corps",
        "community_repair_budgets",
        "maintenance_first_policy",
        "local_procurement_transparency",
        "youth_repair_corps",
        "open_dashboards",
        "skills_pipeline"
    ]
}

def attach_solutions(result):
    floor_name = result["name"]
    solutions = solution_dictionary.get(floor_name, [])
    result["recommended_solutions"] = solutions
    return result
def process_all_base_floors_with_solutions(base_floors):
    results = []
    for floor in base_floors:
        result = process_base_floor(floor)
        result = attach_solutions(result)
        results.append(result)
    return results

def run_purple_report_base_floor_engine(base_floors):
    results = process_all_base_floors_with_solutions(base_floors)
    global_score = calculate_global_score(results)
    final_report = {
        "report_id": "EKSG.PR.ALGORITHM.BASEFLOOR.SCORING.REPAIR.v1.0",
        "report_name": "The Purple Report Base-Floor Scoring Engine",
        "global_score": global_score,
        "global_phase": classify_floor_state(global_score),
        "floor_results": results,
        "weakest_floors": rank_by_lowest_score(results),
        "highest_burnt_room_risk": rank_by_burnt_room_risk(results),
        "highest_repair_priority": rank_by_repair_priority(results),
        "planetos_verdict": generate_planetos_verdict(global_score)
    }
    return final_report

def generate_planetos_verdict(global_score):
    if global_score >= 90:
        return (
            "Civilisation base floors are strong and widening. "
            "Main task: preserve buffers, export repair knowledge, and avoid complacency."
        )
    if global_score >= 75:
        return (
            "Civilisation base floors are stable but pressured. "
            "Main task: reinforce early-warning systems and prevent decay."
        )
    if global_score >= 60:
        return (
            "Civilisation base floors are strained and decaying. "
            "Main task: repair early before corridors collapse."
        )
    if global_score >= 40:
        return (
            "Civilisation base floors are in visible corridor collapse. "
            "Main task: stop bleeding, stabilise corridors, and protect children first."
        )
    if global_score >= 20:
        return (
            "Civilisation base floors are collapsed in many zones. "
            "Main task: rebuild rooms, restore records, reroute survival corridors, and fund reconstruction."
        )
    return (
        "Civilisation base floors have entered burnt-room condition. "
        "Main task: protect life, relocate where necessary, rebuild from minimum viable civilisation conditions."
    )

report = run_purple_report_base_floor_engine(base_floors)
print_human_summary(report)
print(report["planetos_verdict"])

AI_CALCULATION_PROTOCOL:
1. Identify the base floor.
2. Gather current data signals.
3. Convert each signal into 0–100 variable scores.
4. Calculate base_floor_score.
5. Classify the phase/state.
6. Calculate burnt_room_risk.
7. Calculate corridor_width.
8. Calculate repair_priority.
9. Select repair_stack.
10. Attach floor-specific solutions.
11. Rank all floors.
12. Produce global verdict.
13. State uncertainty if data is weak.
14. Never treat the score as final truth.
15. Treat score as a control-tower reading for repair decisions.

def adjust_for_data_uncertainty(score, data_uncertainty):
    """
    data_uncertainty:
      0   = excellent data
      50  = mixed data
      100 = very weak data
    High uncertainty does not automatically lower the score.
    It lowers confidence and slightly pulls extreme scores toward 50.
    """
    pull_strength = data_uncertainty / 100 * 0.25
    adjusted_score = score * (1 - pull_strength) + 50 * pull_strength
    return round(adjusted_score, 1)

def calculate_confidence_score(data_quality, source_quality, recency, cross_source_agreement):
    confidence = (
        data_quality * 0.30
        + source_quality * 0.30
        + recency * 0.20
        + cross_source_agreement * 0.20
    )
    return clamp(round(confidence, 1))

def classify_confidence(confidence):
    if confidence >= 85:
        return "HIGH_CONFIDENCE"
    if confidence >= 70:
        return "GOOD_CONFIDENCE"
    if confidence >= 55:
        return "MODERATE_CONFIDENCE"
    if confidence >= 40:
        return "LOW_CONFIDENCE"
    return "INSUFFICIENT_CONFIDENCE"

BASE_FLOOR_SCORE =
  (
    ACCESS * 0.12
  + QUALITY * 0.12
  + AFFORDABILITY * 0.08
  + CONTINUITY * 0.10
  + TRUST * 0.08
  + RESILIENCE * 0.10
  + REPAIR_CAPACITY * 0.14
  + LOCAL_CAPABILITY * 0.08
  )
  -
  (
    PRESSURE_LOAD * 0.08
  + INEQUALITY * 0.07
  + MAINTENANCE_DEBT * 0.06
  + ECOLOGICAL_STRESS * 0.05
  + SHOCK_EXPOSURE * 0.05
  + TRUST_LOSS * 0.03
  + FUNDING_GAP * 0.03
  )
  + 30
BURNT_ROOM_RISK =
  (
    PRESSURE_LOAD * 0.16
  + MAINTENANCE_DEBT * 0.13
  + SHOCK_EXPOSURE * 0.13
  + ECOLOGICAL_STRESS * 0.12
  + INEQUALITY * 0.12
  + FUNDING_GAP * 0.10
  + TRUST_LOSS * 0.08
  - REPAIR_CAPACITY * 0.10
  - LOCAL_CAPABILITY * 0.08
  - CONTINUITY * 0.08
  )
  + 30
CORRIDOR_WIDTH =
  (
    ACCESS * 0.16
  + AFFORDABILITY * 0.13
  + CONTINUITY * 0.15
  + TRUST * 0.12
  + RESILIENCE * 0.14
  + REPAIR_CAPACITY * 0.15
  - INEQUALITY * 0.06
  - PRESSURE_LOAD * 0.05
  - SHOCK_EXPOSURE * 0.04
  )
  + 20
REPAIR_PRIORITY =
  CHILD_IMPACT * 0.22
+ DEPENDENT_FLOORS * 0.18
+ COLLAPSE_SPEED * 0.17
+ BURNT_ROOM_RISK * 0.18
+ FEASIBILITY * 0.10
+ INHERITANCE_VALUE * 0.15

REGISTRY.ID:
  EKSG.PR.ALGORITHM.BASEFLOOR.SCORING.REPAIR.v1.0
SYSTEM:
  Purple Report Base-Floor Scoring Engine
INPUTS:
  access
  quality
  affordability
  continuity
  trust
  resilience
  repair_capacity
  local_capability
  pressure_load
  inequality
  maintenance_debt
  ecological_stress
  shock_exposure
  trust_loss
  funding_gap
  child_impact
  dependent_floors
  collapse_speed
  feasibility
  inheritance_value
OUTPUTS:
  base_floor_score
  phase
  state
  burnt_room_risk
  burnt_room_class
  corridor_width
  corridor_class
  repair_priority
  repair_priority_class
  repair_stack
  recommended_solutions
  PlanetOS_verdict
CORE_RULE:
  Every burnt room is a missing future option.
  Every repaired corridor is a widened future floor.
CALCULATION_WARNING:
  Scores are control-tower readings, not absolute truth.
  They must be updated when better data arrives.
PLANETOS_VERDICT_RULE:
  Measure not only civilisation height.
  Measure floor safety, corridor width, room availability,
  repair speed, and child inheritance.