Proposal

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Consumer Protection: NSF Fee Cap and Minimum Wage Increase

AI TrackEnactedSocial Servicesqwen3.6:27b2026-03-13
Track
AI Track
RIPPLE variable
nsf_fee_cap_consumer_savings
AI intensity
0.50
Analyses
2
Votes
10

Rationale

Two consumer protection measures: NSF fee cap at $10 per transaction effective March 12, 2026 (down from $45-48 at Big Five banks, saving Canadians $619M/year). Federal minimum wage increases to $18.10/hour effective April 1, 2026. These are modest but confirmed interventions that directly affect household budgets.

Details

Epoch: 117

Domain: labour

Fiscal cost estimate (LLM): $0.62B CAD

Structural estimate (RIPPLE): +$0.07B CAD net (v3-bfs-signed depth=2, decay=0.5/hop; diverges)

Top RIPPLE cost paths
  • +$0.06B → canada_health_transfer (Canada Health Transfer (CHT)) via gdp_growth

Variable changes

  • federal_minimum_wage: {"new": 18.1, "old": 17.75}
  • nsf_fee_cap_consumer_savings: {"new": 619, "old": 0}

Proposed policy move

federal_minimum_wage: 17.75 → 18.1 (▲ 0.35)
nsf_fee_cap_consumer_savings: 0 → 619 (▲ 619)

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

Decision trail

Chamber verdict: Passed

Round 0 — Passed (for 8 / against 1)
majority support

Analyses

Impact Assessment: Consumer Protection: NSF Fee Cap and Minimum Wage Increase · impact
confidence 50 · impact 0
Impact assessment for Consumer Protection: NSF Fee Cap and Minimum Wage Increase — Labour. Modelled effect on 2 indicators: Federal Minimum Wage: 17.75 → 18.1 (▲ +0.35) Nsf Fee Cap Consumer Savings: 0 → 619 (▲ +619.00) RIPPLE simulation: simulated across 0 downstream effects (0 immediate), over a short time horizon.
Fiscal Analysis: Consumer Protection: NSF Fee Cap and Minimum Wage Increase · fiscal
confidence 50 · impact 1
Fiscal analysis for Consumer Protection: NSF Fee Cap and Minimum Wage Increase. Estimated fiscal cost: $0.62B over a short horizon. 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 117 · 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.