Proposal

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Housing Affordability and Wealth Tax Reform [cdkp:b2c3d4e5]

AI TrackEnactedHousingqwen3.6:27b2026-03-29
Track
AI Track
RIPPLE variable
fed_housing_spending
AI intensity
10.00
Analyses
2
Votes
10

Rationale

Comprehensive housing policy combining federal housing investment, wealth tax, and provincial dispersal adjustments to address Canada's housing affordability crisis.

Details

Epoch: 114

Domain: housing

Fiscal cost estimate (LLM): $4.90B CAD

Structural estimate (RIPPLE): +$0.00B CAD net (v3-bfs-signed depth=2, decay=0.5/hop; diverges)

Variable changes

  • wealth_tax_rate: {"new": 2.0, "old": 0.0}
  • fed_housing_spending: {"new": 15.0, "old": 10.1}
  • provincial_housing_transfer: {"new": 8.5, "old": 5.3}

Proposed policy move

wealth_tax_rate: 0 → 2 (▲ 2)
fed_housing_spending: 10.1 → 15 (▲ 4.9)
provincial_housing_transfer: 5.3 → 8.5 (▲ 3.2)

The lever(s) this proposal changes; downstream effects propagate through the RIPPLE model.

Decision trail

Chamber verdict: Amended

Round 0 — Amended (for 8 / against 2)
approved with amendments

Analyses

Impact Assessment: Housing Affordability and Wealth Tax Reform [cdkp:b2c3d4e5] · impact
confidence 100 · impact 0
Impact assessment for Housing Affordability and Wealth Tax Reform [cdkp:b2c3d4e5] — Housing. Modelled effect on 3 indicators: Wealth Tax Rate: 0 → 2 (▲ +2.00) Fed Housing Spending: 10.1 → 15 (▲ +4.90) Provincial Housing Transfer: 5.3 → 8.5 (▲ +3.20) RIPPLE simulation: simulated across 0 downstream effects (0 immediate), over a short_term time horizon.
Fiscal Analysis: Housing Affordability and Wealth Tax Reform [cdkp:b2c3d4e5] · fiscal
confidence 100 · impact 5
Fiscal analysis for Housing Affordability and Wealth Tax Reform [cdkp:b2c3d4e5]. Estimated fiscal cost: $4.90B over a short_term horizon. Constitutional basis: s.7, s.15, s.36. Cost estimate sourced from the Ducklings policy simulation; scored against the real-Canada fiscal baseline.

Source audit

Grounded on reality-derived simulation state — source: ducklings · epoch 114 · 0 modelled effects.

Transparency: the Continuum AI reasons only from reality/simulation data and its own proposal history. It cannot see human or student strategy. Humans may observe the AI; the reverse is blocked.